How to use values method in Best

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talib_indicators.py

Source:talib_indicators.py Github

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1# coding:utf-82#3# The MIT License (MIT)4#5# Copyright (c) 2016-2021 yutiansut/QUANTAXIS6#7# Permission is hereby granted, free of charge, to any person obtaining a copy8# of this software and associated documentation files (the "Software"), to deal9# in the Software without restriction, including without limitation the rights10# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell11# copies of the Software, and to permit persons to whom the Software is12# furnished to do so, subject to the following conditions:13#14# The above copyright notice and this permission notice shall be included in all15# copies or substantial portions of the Software.16#17# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR18# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,19# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE20# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER21# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,22# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE23# SOFTWARE.24import pandas as pd25try:26 import talib27except:28 pass29 #print('PLEASE install TALIB to call these methods')30def AD(DataFrame):31 res = talib.AD(DataFrame.high.values, DataFrame.low.values,32 DataFrame.close.values, DataFrame.volume.values)33 return pd.DataFrame({'AD': res}, index=DataFrame.index)34def ADOSC(DataFrame, N1=3, N2=10):35 res = talib.ADOSC(DataFrame.high.values, DataFrame.low.values,36 DataFrame.close.values, DataFrame.volume.values, N1, N2)37 return pd.DataFrame({'ADOSC': res}, index=DataFrame.index)38def ADX(DataFrame, N=14):39 res = talib.ADX(DataFrame.high.values, DataFrame.low.values, DataFrame.close.values, N)40 return pd.DataFrame({'ADX': res}, index=DataFrame.index)41def ADXR(DataFrame, N=14):42 res = talib.ADXR(DataFrame.high.values, DataFrame.low.values, DataFrame.close.values, N)43 return pd.DataFrame({'ADXR': res}, index=DataFrame.index)44def AROON(DataFrame, N=14):45 """阿隆指标46 47 Arguments:48 DataFrame {[type]} -- [description]49 50 Keyword Arguments:51 N {int} -- [description] (default: {14})52 53 Returns:54 [type] -- [description]55 """56 ar_up, ar_down = talib.AROON(DataFrame.high.values, DataFrame.low.values, N)57 return pd.DataFrame({'AROON_UP': ar_up,'AROON_DOWN': ar_down}, index=DataFrame.index)58def AROONOSC(DataFrame, N=14):59 res = talib.AROONOSC(DataFrame.high.values, DataFrame.low.values, N)60 return pd.DataFrame({'AROONOSC': res}, index=DataFrame.index)61def ATR(DataFrame, N=14):62 res = talib.ATR(DataFrame.high.values, DataFrame.low.values, DataFrame.close.values, N)63 return pd.DataFrame({'ATR': res}, index=DataFrame.index)64def AVGPRICE(DataFrame):65 res = talib.AVGPRICE(DataFrame.open.values, DataFrame.high.values,66 DataFrame.low.values, DataFrame.close.values)67 return pd.DataFrame({'AVGPRICE': res}, index=DataFrame.index)68def BOP(DataFrame):69 res = talib.BOP(DataFrame.open.values, DataFrame.high.values,70 DataFrame.low.values, DataFrame.close.values)71 return pd.DataFrame({'BOP': res}, index=DataFrame.index)72def CCI(DataFrame, N=14):73 res = talib.CCI(DataFrame.high.values, DataFrame.low.values, DataFrame.close.values, N)74 return pd.DataFrame({'CCI': res}, index=DataFrame.index)75def CDL2CROWS(DataFrame):76 res = talib.CDL2CROWS(DataFrame.open.values, DataFrame.high.values,77 DataFrame.low.values, DataFrame.close.values)78 return pd.DataFrame({'CDL2CROWS': res}, index=DataFrame.index)79def CDL3BLACKCROWS(DataFrame):80 res = talib.CDL3BLACKCROWS(81 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)82 return pd.DataFrame({'CDL3BLACKCROWS': res}, index=DataFrame.index)83def CDL3INSIDE(DataFrame):84 res = talib.CDL3INSIDE(85 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)86 return pd.DataFrame({'CDL3INSIDE': res}, index=DataFrame.index)87def CDL3LINESTRIKE(DataFrame):88 res = talib.CDL3LINESTRIKE(89 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)90 return pd.DataFrame({'CDL3LINESTRIKE': res}, index=DataFrame.index)91def CDL3OUTSIDE(DataFrame):92 res = talib.CDL3OUTSIDE(93 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)94 return pd.DataFrame({'CDL3OUTSIDE': res}, index=DataFrame.index)95def CDL3STARSINSOUTH(DataFrame):96 res = talib.CDL3STARSINSOUTH(97 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)98 return pd.DataFrame({'CDL3STARSINSOUTH': res}, index=DataFrame.index)99def CDL3WHITESOLDIERS(DataFrame):100 res = talib.CDL3WHITESOLDIERS(101 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)102 return pd.DataFrame({'CDL3WHITESOLDIERS': res}, index=DataFrame.index)103def CDLABANDONEDBABY(DataFrame):104 res = talib.CDLABANDONEDBABY(105 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)106 return pd.DataFrame({'CDLABANDONEDBABY': res}, index=DataFrame.index)107def CDLADVANCEBLOCK(DataFrame):108 res = talib.CDLADVANCEBLOCK(109 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)110 return pd.DataFrame({'CDLADVANCEBLOCK': res}, index=DataFrame.index)111def CDLBELTHOLD(DataFrame):112 res = talib.CDLBELTHOLD(113 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)114 return pd.DataFrame({'CDLBELTHOLD': res}, index=DataFrame.index)115def CDLBREAKAWAY(DataFrame):116 res = talib.CDLBREAKAWAY(117 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)118 return pd.DataFrame({'CDLBREAKAWAY': res}, index=DataFrame.index)119def CDLCLOSINGMARUBOZU(DataFrame):120 """121 Closing Marubozu (Pattern Recognition)122 Arguments:123 DataFrame {[type]} -- [description]124 """125 res = talib.CDLCLOSINGMARUBOZU(126 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)127 return pd.DataFrame({'CDLCLOSINGMARUBOZU': res}, index=DataFrame.index)128def CDLCONCEALBABYSWALL(DataFrame):129 res = talib.CDLCONCEALBABYSWALL(130 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)131 return pd.DataFrame({'CDLCONCEALBABYSWALL': res}, index=DataFrame.index)132def CDLCOUNTERATTACK(DataFrame):133 res = talib.CDLCOUNTERATTACK(134 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)135 return pd.DataFrame({'CDLCOUNTERATTACK': res}, index=DataFrame.index)136def CDLDARKCLOUDCOVER(DataFrame):137 res = talib.CDLDARKCLOUDCOVER(138 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)139 return pd.DataFrame({'CDLDARKCLOUDCOVER': res}, index=DataFrame.index)140def CDLDOJI(DataFrame):141 res = talib.CDLDOJI(DataFrame.open.values, DataFrame.high.values,142 DataFrame.low.values, DataFrame.close.values)143 return pd.DataFrame({'CDLDOJI': res}, index=DataFrame.index)144def CDLDOJISTAR(DataFrame):145 res = talib.CDLDOJISTAR(146 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)147 return pd.DataFrame({'CDLDOJISTAR': res}, index=DataFrame.index)148def CDLDRAGONFLYDOJI(DataFrame):149 res = talib.CDLDRAGONFLYDOJI(150 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)151 return pd.DataFrame({'CDLDRAGONFLYDOJI': res}, index=DataFrame.index)152def CDLENGULFING(DataFrame):153 res = talib.CDLENGULFING(154 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)155 return pd.DataFrame({'CDLENGULFING': res}, index=DataFrame.index)156def CDLEVENINGDOJISTAR(DataFrame):157 res = talib.CDLEVENINGDOJISTAR(158 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)159 return pd.DataFrame({'CDLEVENINGDOJISTAR': res}, index=DataFrame.index)160def CDLEVENINGSTAR(DataFrame):161 res = talib.CDLEVENINGSTAR(162 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)163 return pd.DataFrame({'CDLEVENINGSTAR': res}, index=DataFrame.index)164def CDLGAPSIDESIDEWHITE(DataFrame):165 res = talib.CDLGAPSIDESIDEWHITE(166 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)167 return pd.DataFrame({'CDLGAPSIDESIDEWHITE': res}, index=DataFrame.index)168def CDLGRAVESTONEDOJI(DataFrame):169 res = talib.CDLGRAVESTONEDOJI(170 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)171 return pd.DataFrame({'CDLGRAVESTONEDOJI': res}, index=DataFrame.index)172def CDLHAMMER(DataFrame):173 res = talib.CDLHAMMER(DataFrame.open.values, DataFrame.high.values,174 DataFrame.low.values, DataFrame.close.values)175 return pd.DataFrame({'CDLHAMMER': res}, index=DataFrame.index)176def CDLHANGINGMAN(DataFrame):177 res = talib.CDLHANGINGMAN(178 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)179 return pd.DataFrame({'CDLHANGINGMAN': res}, index=DataFrame.index)180def CDLHARAMI(DataFrame):181 res = talib.CDLHARAMI(DataFrame.open.values, DataFrame.high.values,182 DataFrame.low.values, DataFrame.close.values)183 return pd.DataFrame({'CDLHARAMI': res}, index=DataFrame.index)184def CDLHARAMICROSS(DataFrame):185 res = talib.CDLHARAMICROSS(186 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)187 return pd.DataFrame({'CDLHARAMICROSS': res}, index=DataFrame.index)188def CDLHIGHWAVE(DataFrame):189 res = talib.CDLHIGHWAVE(190 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)191 return pd.DataFrame({'CDLHIGHWAVE': res}, index=DataFrame.index)192def CDLHIKKAKE(DataFrame):193 res = talib.CDLHIKKAKE(DataFrame.open.values, DataFrame.high.values,194 DataFrame.low.values, DataFrame.close.values)195 return pd.DataFrame({'CDLHIKKAKE': res}, index=DataFrame.index)196def CDLHIKKAKEMOD(DataFrame):197 res = talib.CDLHIKKAKEMOD(198 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)199 return pd.DataFrame({'CDLHIKKAKEMOD': res}, index=DataFrame.index)200def CDLHOMINGPIGEON(DataFrame):201 res = talib.CDLHOMINGPIGEON(202 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)203 return pd.DataFrame({'CDLHOMINGPIGEON': res}, index=DataFrame.index)204def CDLIDENTICAL3CROWS(DataFrame):205 res = talib.CDLIDENTICAL3CROWS(206 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)207 return pd.DataFrame({'CDLIDENTICAL3CROWS': res}, index=DataFrame.index)208def CDLINNECK(DataFrame):209 res = talib.CDLINNECK(DataFrame.open.values, DataFrame.high.values,210 DataFrame.low.values, DataFrame.close.values)211 return pd.DataFrame({'CDLINNECK': res}, index=DataFrame.index)212def CDLINVERTEDHAMMER(DataFrame):213 res = talib.CDLINVERTEDHAMMER(214 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)215 return pd.DataFrame({'CDLINVERTEDHAMMER': res}, index=DataFrame.index)216def CDLKICKING(DataFrame):217 res = talib.CDLKICKING(DataFrame.open.values, DataFrame.high.values,218 DataFrame.low.values, DataFrame.close.values)219 return pd.DataFrame({'CDLKICKING': res}, index=DataFrame.index)220def CDLKICKINGBYLENGTH(DataFrame):221 res = talib.CDLKICKINGBYLENGTH(222 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)223 return pd.DataFrame({'CDLKICKINGBYLENGTH': res}, index=DataFrame.index)224def CDLLADDERBOTTOM(DataFrame):225 res = talib.CDLLADDERBOTTOM(226 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)227 return pd.DataFrame({'CDLLADDERBOTTOM': res}, index=DataFrame.index)228def CDLLONGLEGGEDDOJI(DataFrame):229 res = talib.CDLLONGLEGGEDDOJI(230 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)231 return pd.DataFrame({'CDLLONGLEGGEDDOJI': res}, index=DataFrame.index)232def CDLLONGLINE(DataFrame):233 res = talib.CDLLONGLINE(234 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)235 return pd.DataFrame({'CDLLONGLINE': res}, index=DataFrame.index)236def CDLMARUBOZU(DataFrame):237 res = talib.CDLMARUBOZU(238 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)239 return pd.DataFrame({'CDLMARUBOZU': res}, index=DataFrame.index)240def CDLMATCHINGLOW(DataFrame):241 res = talib.CDLMATCHINGLOW(242 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)243 return pd.DataFrame({'CDLMATCHINGLOW': res}, index=DataFrame.index)244def CDLMATHOLD(DataFrame):245 res = talib.CDLMATHOLD(DataFrame.open.values, DataFrame.high.values,246 DataFrame.low.values, DataFrame.close.values)247 return pd.DataFrame({'CDLMATHOLD': res}, index=DataFrame.index)248def CDLMORNINGDOJISTAR(DataFrame):249 res = talib.CDLMORNINGDOJISTAR(250 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)251 return pd.DataFrame({'CDLMORNINGDOJISTAR': res}, index=DataFrame.index)252def CDLMORNINGSTAR(DataFrame):253 res = talib.CDLMORNINGSTAR(254 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)255 return pd.DataFrame({'CDLMORNINGSTAR': res}, index=DataFrame.index)256def CDLONNECK(DataFrame):257 res = talib.CDLONNECK(DataFrame.open.values, DataFrame.high.values,258 DataFrame.low.values, DataFrame.close.values)259 return pd.DataFrame({'CDLONNECK': res}, index=DataFrame.index)260def CDLPIERCING(DataFrame):261 res = talib.CDLPIERCING(262 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)263 return pd.DataFrame({'CDLPIERCING': res}, index=DataFrame.index)264def CDLRICKSHAWMAN(DataFrame):265 res = talib.CDLRICKSHAWMAN(266 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)267 return pd.DataFrame({'CDLRICKSHAWMAN': res}, index=DataFrame.index)268def CDLRISEFALL3METHODS(DataFrame):269 res = talib.CDLRISEFALL3METHODS(270 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)271 return pd.DataFrame({'CDLRISEFALL3METHODS': res}, index=DataFrame.index)272def CDLSEPARATINGLINES(DataFrame):273 res = talib.CDLSEPARATINGLINES(274 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)275 return pd.DataFrame({'CDLSEPARATINGLINES': res}, index=DataFrame.index)276def CDLSHOOTINGSTAR(DataFrame):277 res = talib.CDLSHOOTINGSTAR(278 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)279 return pd.DataFrame({'CDLSHOOTINGSTAR': res}, index=DataFrame.index)280def CDLSHORTLINE(DataFrame):281 res = talib.CDLSHORTLINE(282 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)283 return pd.DataFrame({'CDLSHORTLINE': res}, index=DataFrame.index)284def CDLSPINNINGTOP(DataFrame):285 res = talib.CDLSPINNINGTOP(286 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)287 return pd.DataFrame({'CDLSPINNINGTOP': res}, index=DataFrame.index)288def CDLSTALLEDPATTERN(DataFrame):289 res = talib.CDLSTALLEDPATTERN(290 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)291 return pd.DataFrame({'CDLSTALLEDPATTERN': res}, index=DataFrame.index)292def CDLSTICKSANDWICH(DataFrame):293 res = talib.CDLSTICKSANDWICH(294 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)295 return pd.DataFrame({'CDLSTICKSANDWICH': res}, index=DataFrame.index)296def CDLTAKURI(DataFrame):297 res = talib.CDLTAKURI(DataFrame.open.values, DataFrame.high.values,298 DataFrame.low.values, DataFrame.close.values)299 return pd.DataFrame({'CDLTAKURI': res}, index=DataFrame.index)300def CDLTASUKIGAP(DataFrame):301 res = talib.CDLTASUKIGAP(302 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)303 return pd.DataFrame({'CDLTASUKIGAP': res}, index=DataFrame.index)304def CDLTHRUSTING(DataFrame):305 res = talib.CDLTHRUSTING(306 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)307 return pd.DataFrame({'CDLTHRUSTING': res}, index=DataFrame.index)308def CDLTRISTAR(DataFrame):309 res = talib.CDLTRISTAR(DataFrame.open.values, DataFrame.high.values,310 DataFrame.low.values, DataFrame.close.values)311 return pd.DataFrame({'CDLTRISTAR': res}, index=DataFrame.index)312def CDLUNIQUE3RIVER(DataFrame):313 res = talib.CDLUNIQUE3RIVER(314 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)315 return pd.DataFrame({'CDLUNIQUE3RIVER': res}, index=DataFrame.index)316def CDLUPSIDEGAP2CROWS(DataFrame):317 res = talib.CDLUPSIDEGAP2CROWS(318 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)319 return pd.DataFrame({'CDLUPSIDEGAP2CROWS': res}, index=DataFrame.index)320def CDLXSIDEGAP3METHODS(DataFrame):321 res = talib.CDLXSIDEGAP3METHODS(322 DataFrame.open.values, DataFrame.high.values, DataFrame.low.values, DataFrame.close.values)323 return pd.DataFrame({'CDLXSIDEGAP3METHODS': res}, index=DataFrame.index)324def DX(DataFrame, N=14):325 res = talib.DX(DataFrame.high.values, DataFrame.low.values, DataFrame.close.values, N)326 return pd.DataFrame({'DX': res}, index=DataFrame.index)327# SAR - Parabolic SAR328def SAR(DataFrame, acceleration=0, maximum=0):329 res = talib.SAR(DataFrame.high.values, DataFrame.low.values, acceleration, maximum)330 return pd.DataFrame({'SAR': res}, index=DataFrame.index)331def SAREXT(DataFrame, startvalue=0, offsetonreverse=0, accelerationinitlong=0,332 accelerationlong=0, accelerationmaxlong=0, accelerationinitshort=0, accelerationshort=0, accelerationmaxshort=0):333 res = talib.SAREXT(DataFrame.high.values, DataFrame.low.values,334 startvalue, offsetonreverse, accelerationinitlong, accelerationlong, accelerationmaxlong,335 accelerationinitshort, accelerationshort, accelerationmaxshort)336 return pd.DataFrame({'SAREXT': res}, index=DataFrame.index)337def STOCH(DataFrame, fastk_period=5, slowk_period=3, slowk_matype=0, slowd_period=3, slowd_matype=0):338 slowk, slowd = talib.STOCH(DataFrame.high.values, DataFrame.low.values, DataFrame.close.values,339 fastk_period, slowk_period, slowk_matype, slowd_period, slowd_matype)340 return pd.DataFrame({'STOCH_SLOWK': slowk, 'STOCH_SLOWD': slowd}, index=DataFrame.index)341def STOCHF(DataFrame, fastk_period=5, fastd_period=3, fastd_matype=0):342 fastk, fastd = talib.STOCHF(DataFrame.high.values, DataFrame.low.values, DataFrame.close.values,343 fastk_period, fastd_period, fastd_matype)...

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qgis2web_expressions.js

Source:qgis2web_expressions.js Github

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1// Aggregates2// Color3// Conditionals4// Conversions5// Custom6// Date and Time7// Fields and Values8// Fuzzy Matching9// General10// Geometry11function fnc_azimuth(values, context) {12 return false;13};14function fnc_project(values, context) {15 return false;16};17// Math18function fnc_abs(values, context) {19 return Math.abs(values[0]);20};21function fnc_degrees(values, context) {22 return values[0] * (180/Math.PI);23};24function fnc_radians(values, context) {25 return values[0] * (Math.PI/180);26};27function fnc_sqrt(values, context) {28 return Math.sqrt(values[0]);29};30function fnc_cos(values, context) {31 return Math.cos(values[0]);32};33function fnc_sin(values, context) {34 return Math.sin(values[0]);35};36function fnc_tan(values, context) {37 return Math.tan(values[0]);38};39function fnc_asin(values, context) {40 return Math.asin(values[0]);41};42function fnc_acos(values, context) {43 return Math.acos(values[0]);44};45function fnc_atan(values, context) {46 return Math.atan(values[0]);47};48function fnc_atan2(values, context) {49 return Math.atan2(values[0]);50};51function fnc_exp(values, context) {52 return Math.exp(values[0]);53};54function fnc_ln(values, context) {55 return Math.log(values[0]);56};57function fnc_log10(values, context) {58 return Math.LN10(values[0]);59};60function fnc_log(values, context) {61 return Math.log(values[0]) / Math.log(values[1]);62};63function fnc_round(values, context) {64 return Math.round(values[0]);65};66function fnc_rand(values, context) {67 return Math.floor(Math.random()*(values[1]-values[0]+1)+values[0]);68};69function fnc_randf(values, context) {70 return Math.random()*(values[1]-values[0]+1)+values[0];71};72function fnc_max(values, context) {73 return Math.max.apply(this, values);74};75function fnc_min(values, context) {76 return Math.min.apply(this, values);77};78function fnc_clamp(values, context) {79 return Math.min(Math.max(values[0],values[1]),values[2]);80};81// Operators82// Record83// String84// TimeManager85// Variables86function fnc_scale_linear(values, context) {87 return false;88};89function fnc_scale_exp(values, context) {90 return false;91};92function fnc_floor(values, context) {93 return Math.floor(values[0]);94};95function fnc_ceil(values, context) {96 return Math.ceil(values[0]);97};98function fnc_pi(values, context) {99 return Math.PI;100};101function fnc_to_int(values, context) {102 var intVal = parseInt(values[0],10);103 if ( isNaN(intVal) ) { return false };104 return intVal;105};106function fnc_to_real(values, context) {107 var realVal = parseFloat(values[0]);108 if ( isNaN(realVal) ) { return false };109 return realVal;110};111function fnc_to_string(values, context) {112 return String(values[0]);113};114function fnc_to_datetime(values, context) {115 return false;116};117function fnc_to_date(values, context) {118 return false;119};120function fnc_to_time(values, context) {121 return false;122};123function fnc_to_interval(values, context) {124 return false;125};126function fnc_coalesce(values, context) {127 return false;128};129function fnc_if(values, context) {130 return false;131};132function fnc_aggregate(values, context) {133 return false;134};135function fnc_relation_aggregate(values, context) {136 return false;137};138function fnc_count(values, context) {139 return false;140};141function fnc_count_distinct(values, context) {142 return false;143};144function fnc_count_missing(values, context) {145 return false;146};147function fnc_minimum(values, context) {148 return false;149};150function fnc_maximum(values, context) {151 return false;152};153function fnc_sum(values, context) {154 return false;155};156function fnc_mean(values, context) {157 return false;158};159function fnc_median(values, context) {160 return false;161};162function fnc_stdev(values, context) {163 return false;164};165function fnc_range(values, context) {166 return false;167};168function fnc_minority(values, context) {169 return false;170};171function fnc_majority(values, context) {172 return false;173};174function fnc_q1(values, context) {175 return false;176};177function fnc_q3(values, context) {178 return false;179};180function fnc_iqr(values, context) {181 return false;182};183function fnc_min_length(values, context) {184 return false;185};186function fnc_max_length(values, context) {187 return false;188};189function fnc_concatenate(values, context) {190 return false;191};192function fnc_regexp_match(values, context) {193 return false;194};195function fnc_now(values, context) {196 return new Date().toISOString();197};198function fnc_age(values, context) {199 return false;200};201function fnc_year(values, context) {202 return false;203};204function fnc_month(values, context) {205 return false;206};207function fnc_week(values, context) {208 return false;209};210function fnc_day(values, context) {211 return false;212};213function fnc_hour(values, context) {214 return false;215};216function fnc_minute(values, context) {217 return false;218};219function fnc_second(values, context) {220 return false;221};222function fnc_day_of_week(values, context) {223 return false;224};225function fnc_lower(values, context) {226 if ( typeof values[0] != "string" ) { return false; } 227 return values[0].toLowerCase();228};229function fnc_upper(values, context) {230 if ( typeof values[0] != "string" ) { return false; } 231 return values[0].toUpperCase();232};233function fnc_title(values, context) {234 if ( typeof values[0] != "string" ) { return false; }235 return values[0].toLowerCase().split(' ').map(function(word) {236 return (word.charAt(0).toUpperCase() + word.slice(1));237 }).join(' ');238};239function fnc_trim(values, context) {240 if ( typeof values[0] != "string" ) { return false; } 241 return String(values[0]).trim();242};243function fnc_levenshtein(values, context) {244 return false;245};246function fnc_longest_common_substring(values, context) {247 return false;248};249function fnc_hamming_distance(values, context) {250 return false;251};252function fnc_soundex(values, context) {253 return false;254};255function fnc_char(values, context) {256 if ( isNaN(values[0]) || !values[0]) { return null; } return String.fromCodePoint(values[0]);257};258function fnc_wordwrap(values, context) {259 return false;260};261function fnc_length(values, context) {262 return false;263};264function fnc_replace(values, context) {265 return false;266};267function fnc_regexp_replace(values, context) {268 if ( !values[0] ) { return null; } return String(values[0]).replace(RegExp(values[1]),values[2]);269};270function fnc_regexp_substr(values, context) {271 if ( !values[0] ) { return null; }272 return String(values[0]).match(RegExp(values[1]))[0];273};274function fnc_substr(values, context) {275 var length = values[2]276 if ( !values[0] || isNaN(values[1])) { return false; }277 return String(values[0]).substr(values[1], length);278};279function fnc_concat(values, context) {280 return values.join(''); 281};282function fnc_strpos(values, context) {283 if (!values[0] || !values[1]) {return null}284 return String(values[0]).indexOf(String(values[1]))+1;285};286function fnc_left(values, context) {287 return false;288};289function fnc_right(values, context) {290 return false;291};292function fnc_rpad(values, context) {293 return false;294};295function fnc_lpad(values, context) {296 return false;297};298function fnc_format(values, context) {299 return false;300};301function fnc_format_number(values, context) {302 return false;303};304function fnc_format_date(values, context) {305 return false;306};307function fnc_color_rgb(values, context) {308 return false;309};310function fnc_color_rgba(values, context) {311 return false;312};313function fnc_ramp_color(values, context) {314 return false;315};316function fnc_color_hsl(values, context) {317 return false;318};319function fnc_color_hsla(values, context) {320 return false;321};322function fnc_color_hsv(values, context) {323 return false;324};325function fnc_color_hsva(values, context) {326 return false;327};328function fnc_color_cmyk(values, context) {329 return false;330};331function fnc_color_cmyka(values, context) {332 return false;333};334function fnc_color_part(values, context) {335 return false;336};337function fnc_darker(values, context) {338 return false;339};340function fnc_lighter(values, context) {341 return false;342};343function fnc_set_color_part(values, context) {344 return false;345};346function fnc_area(values, context) {347 return false;348};349function fnc_perimeter(values, context) {350 return false;351};352function fnc_x(values, context) {353 return false;354};355function fnc_y(values, context) {356 return false;357};358function fnc_z(values, context) {359 return false;360};361function fnc_m(values, context) {362 return false;363};364function fnc_point_n(values, context) {365 return false;366};367function fnc_start_point(values, context) {368 return false;369};370function fnc_end_point(values, context) {371 return false;372};373function fnc_nodes_to_points(values, context) {374 return false;375};376function fnc_segments_to_lines(values, context) {377 return false;378};379function fnc_make_point(values, context) {380 return false;381};382function fnc_make_point_m(values, context) {383 return false;384};385function fnc_make_line(values, context) {386 return false;387};388function fnc_make_polygon(values, context) {389 return false;390};391function fnc_x_min(values, context) {392 return false;393};394function fnc_x_max(values, context) {395 return false;396};397function fnc_y_min(values, context) {398 return false;399};400function fnc_y_max(values, context) {401 return false;402};403function fnc_geom_from_wkt(values, context) {404 return false;405};406function fnc_geom_from_gml(values, context) {407 return false;408};409function fnc_relate(values, context) {410 return false;411};412function fnc_intersects_bbox(values, context) {413 return false;414};415function fnc_disjoint(values, context) {416 return false;417};418function fnc_intersects(values, context) {419 return false;420};421function fnc_touches(values, context) {422 return false;423};424function fnc_crosses(values, context) {425 return false;426};427function fnc_contains(values, context) {428 return false;429};430function fnc_overlaps(values, context) {431 return false;432};433function fnc_within(values, context) {434 return false;435};436function fnc_translate(values, context) {437 return false;438};439function fnc_buffer(values, context) {440 return false;441};442function fnc_centroid(values, context) {443 return false;444};445function fnc_point_on_surface(values, context) {446 return false;447};448function fnc_reverse(values, context) {449 return false;450};451function fnc_exterior_ring(values, context) {452 return false;453};454function fnc_interior_ring_n(values, context) {455 return false;456};457function fnc_geometry_n(values, context) {458 return false;459};460function fnc_boundary(values, context) {461 return false;462};463function fnc_line_merge(values, context) {464 return false;465};466function fnc_bounds(values, context) {467 return false;468};469function fnc_num_points(values, context) {470 return false;471};472function fnc_num_interior_rings(values, context) {473 return false;474};475function fnc_num_rings(values, context) {476 return false;477};478function fnc_num_geometries(values, context) {479 return false;480};481function fnc_bounds_width(values, context) {482 return false;483};484function fnc_bounds_height(values, context) {485 return false;486};487function fnc_is_closed(values, context) {488 return false;489};490function fnc_convex_hull(values, context) {491 return false;492};493function fnc_difference(values, context) {494 return false;495};496function fnc_distance(values, context) {497 return false;498};499function fnc_intersection(values, context) {500 return false;501};502function fnc_sym_difference(values, context) {503 return false;504};505function fnc_combine(values, context) {506 return false;507};508function fnc_union(values, context) {509 return false;510};511function fnc_geom_to_wkt(values, context) {512 return false;513};514function fnc_geometry(values, context) {515 return false;516};517function fnc_transform(values, context) {518 return false;519};520function fnc_extrude(values, context) {521 return false;522};523function fnc_order_parts(values, context) {524 return false;525};526function fnc_closest_point(values, context) {527 return false;528};529function fnc_shortest_line(values, context) {530 return false;531};532function fnc_line_interpolate_point(values, context) {533 return false;534};535function fnc_line_interpolate_angle(values, context) {536 return false;537};538function fnc_line_locate_point(values, context) {539 return false;540};541function fnc_angle_at_vertex(values, context) {542 return false;543};544function fnc_distance_to_vertex(values, context) {545 return false;546};547function fnc_uuid(values, context) {548 return false;549};550function fnc_get_feature(values, context) {551 return false;552};553function fnc_layer_property(values, context) {554 return false;555};556function fnc_var(values, context) {557 return false;558};559function fnc_eval(values, context) {560 return false;561};562function fnc_attribute(values, context) {563 return false;564};565function fnc__specialcol_(values, context) {566 return false;567};568function fnc_project_color(values, context) {569 return false;...

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merge_values_unittest.py

Source:merge_values_unittest.py Github

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1# Copyright 2013 The Chromium Authors. All rights reserved.2# Use of this source code is governed by a BSD-style license that can be3# found in the LICENSE file.4import os5import unittest6from telemetry import story7from telemetry import page as page_module8from telemetry.value import improvement_direction9from telemetry.value import list_of_scalar_values10from telemetry.value import merge_values11from telemetry.value import scalar12class TestBase(unittest.TestCase):13 def setUp(self):14 story_set = story.StorySet(base_dir=os.path.dirname(__file__))15 story_set.AddStory(16 page_module.Page('http://www.bar.com/', story_set, story_set.base_dir))17 story_set.AddStory(18 page_module.Page('http://www.baz.com/', story_set, story_set.base_dir))19 story_set.AddStory(20 page_module.Page('http://www.foo.com/', story_set, story_set.base_dir))21 self.story_set = story_set22 @property23 def pages(self):24 return self.story_set.stories25class MergeValueTest(TestBase):26 def testDefaultKeyFuncWithTirLabel(self):27 page0 = self.pages[0]28 value = scalar.ScalarValue(29 page0, 'x', 'units', 1,30 improvement_direction=improvement_direction.UP,31 tir_label='foo')32 self.assertEquals(('x', 'foo'), merge_values.DefaultKeyFunc(value))33 def testSamePageMergeBasic(self):34 page0 = self.pages[0]35 page1 = self.pages[1]36 all_values = [scalar.ScalarValue(37 page0, 'x', 'units', 1,38 improvement_direction=improvement_direction.UP),39 scalar.ScalarValue(40 page1, 'x', 'units', 4,41 improvement_direction=improvement_direction.UP),42 scalar.ScalarValue(43 page0, 'x', 'units', 2,44 improvement_direction=improvement_direction.UP),45 scalar.ScalarValue(46 page1, 'x', 'units', 5,47 improvement_direction=improvement_direction.UP)]48 merged_values = merge_values.MergeLikeValuesFromSamePage(all_values)49 # Sort the results so that their order is predictable for the subsequent50 # assertions.51 merged_values.sort(key=lambda x: x.page.url)52 self.assertEquals(2, len(merged_values))53 self.assertEquals((page0, 'x'),54 (merged_values[0].page, merged_values[0].name))55 self.assertEquals([1, 2], merged_values[0].values)56 self.assertEquals((page1, 'x'),57 (merged_values[1].page, merged_values[1].name))58 self.assertEquals([4, 5], merged_values[1].values)59 def testSamePageMergeNonstandardKeyFunc(self):60 page0 = self.pages[0]61 page1 = self.pages[1]62 all_values = [scalar.ScalarValue(63 page0, 'x', 'units', 1,64 improvement_direction=improvement_direction.UP),65 scalar.ScalarValue(66 page1, 'x', 'units', 4,67 improvement_direction=improvement_direction.UP),68 scalar.ScalarValue(69 page0, 'y', 'units', 2,70 improvement_direction=improvement_direction.UP),71 scalar.ScalarValue(72 page1, 'y', 'units', 5,73 improvement_direction=improvement_direction.UP)]74 merged_values = merge_values.MergeLikeValuesFromSamePage(75 all_values, key_func=lambda v: v.page.display_name)76 # Sort the results so that their order is predictable for the subsequent77 # assertions.78 merged_values.sort(key=lambda x: x.page.url)79 self.assertEquals(2, len(merged_values))80 self.assertEquals([1, 2], merged_values[0].values)81 self.assertEquals([4, 5], merged_values[1].values)82 def testSamePageMergeOneValue(self):83 page0 = self.pages[0]84 all_values = [scalar.ScalarValue(85 page0, 'x', 'units', 1,86 improvement_direction=improvement_direction.DOWN)]87 # Sort the results so that their order is predictable for the subsequent88 # assertions.89 merged_values = merge_values.MergeLikeValuesFromSamePage(all_values)90 self.assertEquals(1, len(merged_values))91 self.assertEquals(all_values[0].name, merged_values[0].name)92 self.assertEquals(all_values[0].units, merged_values[0].units)93 def testSamePageMergeWithInteractionRecord(self):94 page0 = self.pages[0]95 all_values = [scalar.ScalarValue(96 page0, 'foo-x', 'units', 1, tir_label='foo',97 improvement_direction=improvement_direction.UP),98 scalar.ScalarValue(99 page0, 'foo-x', 'units', 4, tir_label='foo',100 improvement_direction=improvement_direction.UP)]101 merged_values = merge_values.MergeLikeValuesFromSamePage(all_values)102 self.assertEquals(1, len(merged_values))103 self.assertEquals('foo', merged_values[0].tir_label)104 def testSamePageMergeWithTwoInteractionRecords(self):105 page0 = self.pages[0]106 all_values = [scalar.ScalarValue(page0, 'x', 'units', 1, tir_label='foo'),107 scalar.ScalarValue(page0, 'x', 'units', 4, tir_label='bar')]108 merged_values = merge_values.MergeLikeValuesFromSamePage(all_values)109 self.assertEquals(2, len(merged_values))110 self.assertEquals('foo', merged_values[0].tir_label)111 self.assertEquals('bar', merged_values[1].tir_label)112 def testDifferentPageMergeBasic(self):113 page0 = self.pages[0]114 page1 = self.pages[1]115 all_values = [scalar.ScalarValue(116 page0, 'x', 'units', 1,117 improvement_direction=improvement_direction.UP),118 scalar.ScalarValue(119 page1, 'x', 'units', 2,120 improvement_direction=improvement_direction.UP),121 scalar.ScalarValue(122 page0, 'y', 'units', 10,123 improvement_direction=improvement_direction.UP),124 scalar.ScalarValue(125 page1, 'y', 'units', 20,126 improvement_direction=improvement_direction.UP)]127 merged_values = merge_values.MergeLikeValuesFromDifferentPages(all_values)128 merged_values.sort(key=lambda x: x.name)129 self.assertEquals(2, len(merged_values))130 self.assertEquals((None, 'x'),131 (merged_values[0].page, merged_values[0].name))132 self.assertEquals([1, 2], merged_values[0].values)133 self.assertEquals((None, 'y'),134 (merged_values[1].page, merged_values[1].name))135 self.assertEquals([10, 20], merged_values[1].values)136 def testDifferentPageMergeNonstandardKeyFunc(self):137 page0 = self.pages[0]138 page1 = self.pages[1]139 all_values = [scalar.ScalarValue(140 page0, 'x', 'units', 1,141 improvement_direction=improvement_direction.UP),142 scalar.ScalarValue(143 page1, 'x', 'units', 2,144 improvement_direction=improvement_direction.UP),145 scalar.ScalarValue(146 page0, 'y', 'units', 10,147 improvement_direction=improvement_direction.UP),148 scalar.ScalarValue(149 page1, 'y', 'units', 20,150 improvement_direction=improvement_direction.UP)]151 merged_values = merge_values.MergeLikeValuesFromDifferentPages(152 all_values, key_func=lambda v: True)153 self.assertEquals(1, len(merged_values))154 self.assertEquals([1, 2, 10, 20], merged_values[0].values)155 def testDifferentPageMergeSingleValueStillMerges(self):156 page0 = self.pages[0]157 all_values = [scalar.ScalarValue(158 page0, 'x', 'units', 1,159 improvement_direction=improvement_direction.DOWN)]160 # Sort the results so that their order is predictable for the subsequent161 # assertions.162 merged_values = merge_values.MergeLikeValuesFromDifferentPages(all_values)163 self.assertEquals(1, len(merged_values))164 self.assertEquals((None, 'x'),165 (merged_values[0].page, merged_values[0].name))166 self.assertTrue(167 isinstance(merged_values[0], list_of_scalar_values.ListOfScalarValues))168 self.assertEquals([1], merged_values[0].values)169 def testDifferentPageMergeWithInteractionRecord(self):170 page0 = self.pages[0]171 page1 = self.pages[1]172 v0 = scalar.ScalarValue(page0, 'x', 'units', 1, tir_label='foo')173 v1 = scalar.ScalarValue(page0, 'y', 'units', 30, tir_label='bar')174 v2 = scalar.ScalarValue(page1, 'x', 'units', 2, tir_label='foo')175 v3 = scalar.ScalarValue(page1, 'y', 'units', 40, tir_label='baz')176 all_values = [v0, v1, v2, v3]177 merged_x = list_of_scalar_values.ListOfScalarValues(178 None, 'x', 'units', [1, 2], tir_label='foo')179 merged_y_bar = list_of_scalar_values.ListOfScalarValues(180 None, 'y', 'units', [30], tir_label='bar')181 merged_y_baz = list_of_scalar_values.ListOfScalarValues(182 None, 'y', 'units', [40], tir_label='baz')183 merged_values = merge_values.MergeLikeValuesFromDifferentPages(all_values)184 merged_values.sort(key=lambda x: x.tir_label)...

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test_knapsack_with_repetitions.py

Source:test_knapsack_with_repetitions.py Github

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...16 capacity = -117 weights = []18 values = []19 optimal_value(capacity, weights, values)20 def test_with_less_weights_than_values(self):21 with self.assertRaisesRegex(AssertionError, ''):22 capacity = 123 weights = [ 1 ]24 values = [ 2, 3 ]25 optimal_value(capacity, weights, values)26 def test_with_more_weights_than_values(self):27 with self.assertRaisesRegex(AssertionError, ''):28 capacity = 129 weights = [ 1, 2 ]30 values = [ 3 ]31 optimal_value(capacity, weights, values)32 def test_with_preceeding_lower_bound_of_weights(self):33 with self.assertRaisesRegex(AssertionError, ''):34 capacity = 135 weights = [ 1, -1, 2 ]36 values = [ 1, 2, 3 ]37 optimal_value(capacity, weights, values)38 def test_with_preceeding_lower_bound_of_values(self):39 with self.assertRaisesRegex(AssertionError, ''):40 capacity = 141 weights = [ 1, 2, 3 ]42 values = [ 1, -1, 2 ]43 optimal_value(capacity, weights, values)44 def test_with_zero_capacity(self):45 capacity = 046 weights = []47 values = []48 value, items = optimal_value(capacity, weights, values)49 self.assertEqual(0, value)50 self.assertEqual([], items)51 self.assert_items_within_capacity(capacity, weights, values,52 value, items)53 def test_with_non_zero_capacity_and_empty_items(self):54 capacity = 12355 weights = []56 values = []57 value, items = optimal_value(capacity, weights, values)58 self.assertEqual(0, value)59 self.assertEqual([], items)60 self.assert_items_within_capacity(capacity, weights, values,61 value, items)62 def test_with_capacity_as_1_and_weights_as_1(self):63 capacity = 164 weights = [ 1 ]65 values = [ 2 ]66 value, items = optimal_value(capacity, weights, values)67 self.assertEqual(2, value)68 self.assertEqual([ 0 ], items)69 self.assert_items_within_capacity(capacity, weights, values,70 value, items)71 def test_with_capacity_as_1_and_duplicate_weights_and_values(self):72 capacity = 173 weights = [ 1, 1 ]74 values = [ 2, 2 ]75 value, items = optimal_value(capacity, weights, values)76 self.assertEqual(2, value)77 self.assertEqual([ 0 ], items)78 self.assert_items_within_capacity(capacity, weights, values,79 value, items)80 def test_with_capacity_as_1_and_duplicate_weights(self):81 capacity = 182 weights = [ 1, 1 ]83 values = [ 2, 3 ]84 value, items = optimal_value(capacity, weights, values)85 self.assertEqual(3, value)86 self.assertEqual([ 1 ], items)87 self.assert_items_within_capacity(capacity, weights, values,88 value, items)89 def test_with_capacity_as_1_and_duplicate_values(self):90 capacity = 191 weights = [ 1, 2 ]92 values = [ 2, 2 ]93 value, items = optimal_value(capacity, weights, values)94 self.assertEqual(2, value)95 self.assertEqual([ 0 ], items)96 self.assert_items_within_capacity(capacity, weights, values,97 value, items)98 def test_with_capacity_as_1_and_weights_as_2(self):99 capacity = 1100 weights = [ 2 ]101 values = [ 3 ]102 value, items = optimal_value(capacity, weights, values)103 self.assertEqual(0, value)...

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VelocityCurve.py

Source:VelocityCurve.py Github

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1#!/usr/bin/env python2# -*- coding: Latin-1 -*-3"""4@file VelocityCurve.py5@author Sascha Krieg6@author Daniel Krajzewicz7@author Michael Behrisch8@date 2008-05-139@version $Id: VelocityCurve.py 18096 2015-03-17 09:50:59Z behrisch $10Shows a velocity time-variation curve for a given Taxi or for the hole day all average values.11SUMO, Simulation of Urban MObility; see http://sumo.dlr.de/12Copyright (C) 2008-2015 DLR (http://www.dlr.de/) and contributors13This file is part of SUMO.14SUMO is free software; you can redistribute it and/or modify15it under the terms of the GNU General Public License as published by16the Free Software Foundation; either version 3 of the License, or17(at your option) any later version.18"""19from pylab import *20from analysis.Taxi import *21import util.Reader as reader22#global Vars23WEE = True # =withoutEmptyEdges decide which analysis file should be used24def main():25 print "start program"26 taxiId = '154_2'27 interval = 90028 plotCurve(interval)29 show()30 print "end"31def plotCurve(interval=10, taxiId=None):32 """plots the velocity time-variation curve for a single taxi or averaged values of the hole day."""33 if taxiId == None:34 values, interval = getAveragedValues(interval)35 legendText = ('reale FCD', 'sim. FCD', 'sim. FC-Rohdaten')36 else:37 values, starttime = getDataForTaxi(taxiId)38 legendText = (39 'reale FCD', 'sim. FCD', 'vtype', 'start: ' + str(starttime))40 textsize = 1641 subplot(211)42 #plot(values[0], values[1], values[0], values[2],'red',values[0], values[3],'grey')43 plot(values[0], values[7]) # rel Error44 # plot(values[0],values[8]) #abs Error45 # plot(values[0], values[1], values[0], values[2],values[0], values[8]) #abs Error mit Vs46 # plot(values[0], values[4], values[0], values[5],'red') #taxiAnz47 xticks(range(0, 86400 + 3600, 3600 * 2), range(0, 25, 2), size=textsize)48 axis([axis()[0], 86400, axis()[2], axis()[3]])49 yticks(size=textsize)50 subplots_adjust(left=0.05, right=0.95, bottom=0.05, top=0.95)51 #xlabel("t (s)", size=textsize)52 xlabel(53 "\nt [h] (Aggregationsintervall=" + str(interval) + "s)", size=textsize)54 #ylabel("v [km/h]", size=textsize)55 ylabel("relative Abweichung [%]", size=textsize)56 #ylabel("absolute Abweichung [km/h]", size=textsize)57 #ylabel("Anzahl der Fahrzeuge",size=textsize)58 # legend(legendText)59 # legend(('FCD','simFCD','simFCD-FCD',))60 #legend(('reale FCD','sim. FCD'))61def getDataForTaxi(taxiId):62 """Gets the Data for a single Taxi"""63 values = [[], [], [], [], [], []] # x1,y1,x2,y2,x3,y364 starttime = 065 taxis = reader.readAnalysisInfo(WEE)66 for step in taxis[taxis.index(taxiId)].getSteps():67 if step.source == SOURCE_FCD:68 values[0].append(step.time - starttime)69 values[1].append(step.speed)70 elif step.source == SOURCE_SIMFCD:71 values[2].append(step.time - starttime)72 values[3].append(step.speed)73 elif step.source == SOURCE_VTYPE:74 if starttime == 0:75 starttime = step.time76 values[4].append(step.time - starttime)77 values[5].append(step.speed)78 return (values, starttime)79def getAveragedValues(interval):80 """catches all data in the given interval steps and calculates the average speed for each interval."""81 timeValues = range(0, 86410, interval)82 fcdValues = [[] for i in range(0, 86410, interval)]83 simFcdValues = [[] for i in range(0, 86410, interval)]84 vtypeValues = [[] for i in range(0, 86410, interval)]85 relErrorValues = [[] for i in range(0, 86410, interval)]86 absErrorValues = [[] for i in range(0, 86410, interval)]87 fcdValuesNo = [set() for i in range(0, 86410, interval)]88 simFcdValuesNo = [set() for i in range(0, 86410, interval)]89 vtypeValuesNo = [set() for i in range(0, 86410, interval)]90 taxis = reader.readAnalysisInfo(WEE)91 # helper function92 def calcAverageOrLen(list, no=False):93 for i in range(len(list)):94 if len(list[i]) > 0:95 if no: # if no True clac Len96 list[i] = len(list[i])97 else:98 list[i] = sum(list[i]) / len(list[i])99 else:100 list[i] = None101 return list102 for taxi in taxis:103 for step in taxi.getSteps():104 if step.source == SOURCE_FCD:105 # add the speed to the corresponding time interval106 fcdValues[step.time / interval].append(step.speed)107 fcdValuesNo[step.time / interval].add(taxi.id)108 elif step.source == SOURCE_SIMFCD:109 # add the speed to the corresponding time interval110 simFcdValues[step.time / interval].append(step.speed)111 simFcdValuesNo[step.time / interval].add(taxi.id)112 elif step.source == SOURCE_VTYPE:113 # add the speed to the corresponding time interval114 vtypeValues[step.time / interval].append(step.speed)115 vtypeValuesNo[step.time / interval].add(taxi.id)116 vtypeValues = calcAverageOrLen(vtypeValues)117 fcdValues = calcAverageOrLen(fcdValues)118 simFcdValues = calcAverageOrLen(simFcdValues)119 vtypeValuesNo = calcAverageOrLen(vtypeValuesNo, True)120 fcdValuesNo = calcAverageOrLen(fcdValuesNo, True)121 simFcdValuesNo = calcAverageOrLen(simFcdValuesNo, True)122 # calc relative Error123 for i in range(len(fcdValues)):124 if simFcdValues[i] == None or fcdValues[i] == None:125 relErrorValues[i] = None126 absErrorValues[i] = None127 else:128 #(angezeigter-richtiger Wert)129 absErr = simFcdValues[i] - fcdValues[i]130 relErrorValues[i] = absErr / float(fcdValues[i]) * 100131 absErrorValues[i] = absErr132 return ([timeValues, fcdValues, simFcdValues, vtypeValues, fcdValuesNo, simFcdValuesNo, vtypeValuesNo, relErrorValues, absErrorValues], interval)133# start the program134# profile.run('main()')...

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summary.py

Source:summary.py Github

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...36 self._interleaved_computed_per_page_values_and_summaries = []37 self._key_func = key_func38 self._ComputePerPageValues(all_page_specific_values)39 @property40 def computed_per_page_values(self):41 return self._computed_per_page_values42 @property43 def computed_summary_values(self):44 return self._computed_summary_values45 @property46 def interleaved_computed_per_page_values_and_summaries(self):47 """Returns the computed per page values and summary values interleaved.48 All the results for a given name are printed together. First per page49 values, then summary values.50 """51 return self._interleaved_computed_per_page_values_and_summaries52 def _ComputePerPageValues(self, all_page_specific_values):53 all_successful_page_values = [54 v for v in all_page_specific_values if not (isinstance(55 v, failure.FailureValue) or isinstance(v, skip.SkipValue))]56 # We will later need to determine how many values were originally created57 # for each value name, to apply a workaround meant to clean up the printf...

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views.py

Source:views.py Github

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1from django.shortcuts import render2from django.http import HttpResponse,Http4043from mysite.cricbuzz import Cricbuzz4from mysite.forms import *5from . import gen as ge6from mysite.models import *7def index(request):8 return render(request,'mysite/homepage/index.html')9def livescore(request):10 c = Cricbuzz()11 dic= {}12 matches = c.matches()13 if not matches:14 return HttpResponse("can't connect to cricbzz.com......")15 for match in matches:16 #print (match)17 if(match['matchstate'] != 'nextlive'):18 #print (dic)19 dic[match['id']] = (c.livescore(match['id']))20 #print (c.commentary(match['id']))21 #print (c.scorecard(match['id']))22 #print(dic)23 return render(request,'mysite/Livescore/livescore.html',{'matches':dic})24#def livematch(request,mid):25# return render(request,'')26def compare(request):27 if request.method == 'GET':28 dit = {}29 p_dict = {}30 if 'player1' in request.GET:31 player1 = request.GET['player1']32 player1 = Player.objects.get(name=player1) 33 values = player1.get_attrb()34 p_dict = {35 'name':values[0],'team':values[12],'Runs':values[1],'fiftys':values[2],'hundreds':values[3],'matchplayed':values[4],'average':values[5],36 'run_rate':values[6],'HighScore':values[7],'overs':values[8],'wickets':values[9],'economy':values[10],'wicket_streak':values[11]37 }38 print(p_dict)39 dit['player1'] = p_dict40 if 'player2' in request.GET:41 if request.GET['player2']:42 player2 = request.GET['player2']43 print(player2)44 player2 = Player.objects.get(name=player2) 45 values = player2.get_attrb()46 p_dict = {47 'name':values[0],'team':values[12],'Runs':values[1],'fiftys':values[2],'hundreds':values[3],'matchplayed':values[4],'average':values[5],48 'run_rate':values[6],'HighScore':values[7],'overs':values[8],'wickets':values[9],'economy':values[10],'wicket_streak':values[11]49 }50 print(p_dict)51 dit['player2'] = p_dict52 if 'player3' in request.GET:53 if request.GET['player3']:54 player3 = request.GET['player3']55 print(player3)56 player3 = Player.objects.get(name=player3) 57 values = player3.get_attrb()58 p_dict = {59 'name':values[0],'team':values[12],'Runs':values[1],'fiftys':values[2],'hundreds':values[3],'matchplayed':values[4],'average':values[5],60 'run_rate':values[6],'HighScore':values[7],'overs':values[8],'wickets':values[9],'economy':values[10],'wicket_streak':values[11]61 }62 print(p_dict)63 dit['player3'] = p_dict64 if 'player4' in request.GET and request.GET['player4']:65 if request.GET['player4']:66 player4 = request.GET['player4']67 player4 = Player.objects.get(name=player4) 68 values = player4.get_attrb()69 p_dict = {70 'name':values[0],'team':values[12],'Runs':values[1],'fiftys':values[2],'hundreds':values[3],'matchplayed':values[4],'average':values[5],71 'run_rate':values[6],'HighScore':values[7],'overs':values[8],'wickets':values[9],'economy':values[10],'wicket_streak':values[11]72 }73 print(p_dict)74 dit['player4'] = p_dict75 return render(request,'mysite/Compare.html',dit) 76def matches(request):77 match = Match.objects.all()78 matchs_dict = {'matches':match}79 return render(request,'mysite/match/matches.html',matchs_dict)80def match(request,pk):81 try:82 obj = Match.objects.get(id=pk)83 values = obj.get_attrb()84 match_dict = {'team1':values[0],'team2':values[1],'type':values[2],'batting1':values[3].get_attrb(),'batting2':values[4].get_attrb(),'bowling1':values[5].get_attrb(),'bowling2':values[6].get_attrb()}85 c = ge.Statistics()86 c.generate()87 return render(request,'mysite/match/match.html',match_dict)88 except Match.DoesNotExist:89 raise Http404("Match does not Exist.....")90def getScores(request):91 pass; 92def player(request,player_name):93 try:94 p = Player.objects.get(name=player_name)95 values = p.get_attrb()96 player_dict = {97 'name':values[0],'team':values[12],'Runs':values[1],'fiftys':values[2],'hundreds':values[3],'matchplayed':values[4],'average':values[5],98 'run_rate':values[6],'HighScore':values[7],'overs':values[8],'wickets':values[9],'economy':values[10],'wicket_streak':values[11]99 }100 return render(request,'mysite/player/player.html',player_dict)101 except Player.DoesNotExist:102 raise Http404("Player does not Exist.....")103#def team(request):104 105def about(request):106 return render(request,'mysite/about.html',{'about':'About Us','news':['We are a gang of two people','who steal scores from cricbuzz.']})...

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manage.py

Source:manage.py Github

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1#Loads a list of the rows in the file f, splitting on the spaces2def LoadData(fname):3 f=open(fname,'r')4 data=[]5 for line in f.readlines():6 data.append(line.replace('\n','').split(' '))7 f.close()8 return data9#Loads a list of the rows in the file f, splitting on the double spaces10def LoadDataSpaces(fname):11 f=open(fname,'r')12 data=[]13 for line in f.readlines():14 data.append(line.replace('\n','').split(' '))15 f.close()16 return data17#Loads a list of the rows in the file f, splitting on the tabs18def LoadDataTab(fname):19 f=open(fname,'r')20 data=[]21 for line in f.readlines():22 data.append(line.replace('\n','').split('\t'))23 f.close()24 return data25def LoadDataHyphen(fname):26 f=open(fname,'r')27 data=[]28 for line in f.readlines():29 data.append(line.replace('\n','').split('-'))30 f.close()31 return data32#Used in conjunction with LoadData to pull out a column of a file as a list33#of floats34def IterativeFloatAppend(values,index):35 new_list=[]36 for i in range(len(values)):37 point=float(values[i][index])38 new_list.append(point)39 return new_list40#Used in conjunction with LoadData to pull out a column of a file as a list41#of integers42def IterativeIntAppend(values,index):43 new_list=[]44 for i in range(len(values)):45 point=int(values[i][index])46 new_list.append(point)47 return new_list48#Used in conjunction with LoadData to pull out a column of a file as a list49#of strings50def IterativeStrAppend(values,index):51 new_list=[]52 for i in range(len(values)):53 point=str(values[i][index])54 new_list.append(point)55 return new_list56#Find the differences in consecutive values of a list57def Differences(values):58 new_list=[]59 for i in range((len(values))-1):60 point=values[i+1]-values[i]61 new_list.append(point)62 return new_list63#Remove repeats from a list of values64def RemoveRepeats(values):65 new_list=[]66 for i in range(len(values)):67 if values[i] not in new_list:68 new_list.append(values[i])69 return new_list70#Write a list to file as a column71def WriteFile(values,fname):72 with open(fname,"w") as data:73 for i in range(len(values)):74 data.write("{0}\n".format(values[i]))75def WriteFile2Cols(values1,values2,fname):76 with open(fname,"w") as data:77 for i in range(len(values1)):78 data.write("{0} {1}\n".format(values1[i],values2[i]))79def WriteFileCols(values,fname):80 with open(fname,"w") as data:81 for i in range(len(values)):82 data.write("{0} {1}\n".format(values[i][0],values[i][1]))83def WriteFile3Cols(values,fname):84 with open(fname,"w") as data:85 for i in range(len(values)):86 data.write("{0} {1} {2}\n".format(values[i][0],values[i][1],values[i][2]))87def WriteFile5Cols(values,fname):88 with open(fname,"w") as data:89 for i in range(len(values)):90 data.write("{0} {1} {2} {3} {4}\n".format(values[i][0],values[i][1],values[i][2],values[i][3],values[i][4]))91def WriteFile4Cols(values,fname):92 with open(fname,"w") as data:93 for i in range(len(values)):94 data.write("{0} {1} {2} {3}\n".format(values[i][0],values[i][1],values[i][2],values[i][3]))95def WriteFile6Cols(values,fname):96 with open(fname,"w") as data:97 for i in range(len(values)):98 data.write("{0} {1} {2} {3} {4} {5}\n".format(values[i][0],values[i][1],values[i][2],values[i][3],values[i][4],values[i][5]))99def WriteFile7Cols(values,fname): 100 with open(fname,"w") as data:101 for i in range(len(values)):102 data.write("{0} {1} {2} {3} {4} {5} {6}\n".format(values[i][0],values[i][1],values[i][2],values[i][3],values[i][4],values[i][5],values[i][6]))103def WriteFile8Cols(values,fname):104 with open(fname,"w") as data:105 for i in range(len(values)):...

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Using AI Code Generation

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1var BestTimeToBuyAndSellStockIV = require('./BestTimeToBuyAndSellStockIV.js');2var bestTimeToBuyAndSellStockIV = new BestTimeToBuyAndSellStockIV();3var arr = [2, 4, 1];4var k = 2;5var result = bestTimeToBuyAndSellStockIV.maxProfit(k, arr);6console.log("Max profit: " + result);7var BestTimeToBuyAndSellStockIV = function() {8 this.maxProfit = function(k, prices) {9 var len = prices.length;10 if (len <= 1) {11 return 0;12 }13 if (k >= len / 2) {14 return maxProfitInfinite(prices);15 }16 var dp = [];17 for (var i = 0; i < k + 1; i++) {18 dp[i] = [];19 for (var j = 0; j < len; j++) {20 dp[i][j] = 0;21 }22 }23 for (var i = 1; i < k + 1; i++) {24 var localMax = dp[i - 1][0] - prices[0];25 for (var j = 1; j < len; j++) {26 dp[i][j] = Math.max(dp[i][j - 1], prices[j] + localMax);27 localMax = Math.max(localMax, dp[i - 1][j] - prices[j]);28 }29 }30 return dp[k][len - 1];31 }32 var maxProfitInfinite = function(prices) {33 var len = prices.length;34 var profit = 0;35 for (var i = 1; i < len; i++) {36 if (prices[i] > prices[i - 1]) {37 profit += prices[i] - prices[i - 1];38 }39 }40 return profit;41 }42}43module.exports = BestTimeToBuyAndSellStockIV;

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Using AI Code Generation

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1var BestTimeToBuyAndSellStock = require('./BestTimeToBuyAndSellStock.js');2var stock = new BestTimeToBuyAndSellStock();3var stock_prices_yesterday = [10, 7, 5, 8, 11, 9];4console.log(stock.values(stock_prices_yesterday));5var BestTimeToBuyAndSellStock = function () {6 this.values = function (stock_prices_yesterday) {7 var max_profit = 0;8 var min_price = stock_prices_yesterday[0];9 for (var i = 0; i < stock_prices_yesterday.length; i++) {10 var current_price = stock_prices_yesterday[i];11 min_price = Math.min(min_price, current_price);12 var potential_profit = current_price - min_price;13 max_profit = Math.max(max_profit, potential_profit);14 }15 return max_profit;16 }17}18module.exports = BestTimeToBuyAndSellStock;

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Using AI Code Generation

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1var map = new BestMap();2map.set("a", 1);3map.set("b", 2);4map.set("c", 3);5for (let value of map.values()) {6 console.log(value);7}8var map = new BestMap();9map.set("a", 1);10map.set("b", 2);11map.set("c", 3);12for (let entry of map.entries()) {13 console.log(entry);14}15var map = new BestMap();16map.set("a", 1);17map.set("b", 2);18map.set("c", 3);19map.forEach(function(value, key, map) {20 console.log(value, key, map);21});22var map = new BestMap();23map.set("a", 1);24map.set("b", 2);25map.set("c", 3);26console.log(map.size);27var map = new BestMap();28map.set("a", 1);29map.set("b", 2);30map.set("c", 3);31console.log(map.has("a"));32console.log(map.has("d"));33var map = new BestMap();34map.set("a", 1);35map.set("b", 2);36map.set("c", 3);37console.log(map.delete("a"));38console.log(map.delete("d"));39var map = new BestMap();40map.set("a", 1);41map.set("b", 2);42map.set("c", 3);43map.clear();44console.log(map.size);45var map = new BestMap();46map.set("a", 1);47map.set("b", 2);48map.set("c", 3);49console.log(map.get("a"));50console.log(map.get("d"));51var map = new BestMap();

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Using AI Code Generation

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1var BestMap = require('./BestMap.js');2var map = new BestMap();3map.put('1', 'one');4map.put('2', 'two');5map.put('3', 'three');6console.log(map.values());7var BestMap = require('./BestMap.js');8var map = new BestMap();9map.put('1', 'one');10map.put('2', 'two');11map.put('3', 'three');12console.log(map.values());13var BestMap = require('./BestMap.js');14var map = new BestMap();15map.put('1', 'one');16map.put('2', 'two');17map.put('3', 'three');18console.log(map.values());19var BestMap = require('./BestMap.js');20var map = new BestMap();21map.put('1', 'one');22map.put('2', 'two');23map.put('3', 'three');24console.log(map.values());25var BestMap = require('./BestMap.js');26var map = new BestMap();27map.put('1', 'one');28map.put('2', 'two');29map.put('3', 'three');30console.log(map.values());31var BestMap = require('./BestMap.js');32var map = new BestMap();33map.put('1', 'one');34map.put('2', 'two');35map.put('3', 'three');36console.log(map.values());37var BestMap = require('./BestMap.js');38var map = new BestMap();39map.put('1', 'one');40map.put('2', 'two');

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Using AI Code Generation

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1var BestOf = require('./BestOf');2var bestOf = new BestOf();3bestOf.add('a', 1);4bestOf.add('b', 2);5bestOf.add('c', 3);6bestOf.add('d', 4);7bestOf.add('e', 5);8bestOf.add('f', 6);9bestOf.add('g', 7);10bestOf.add('h', 8);11bestOf.add('i', 9);12bestOf.add('j', 10);13bestOf.add('k', 11);14bestOf.add('l', 12);15bestOf.add('m', 13);16bestOf.add('n', 14);17bestOf.add('o', 15);18bestOf.add('p', 16);19bestOf.add('q', 17);20bestOf.add('r', 18);21bestOf.add('s', 19);22bestOf.add('t', 20);23bestOf.add('u', 21);24bestOf.add('v', 22);25bestOf.add('w', 23);26bestOf.add('x', 24);27bestOf.add('y', 25);28bestOf.add('z', 26);29console.log(bestOf.values());

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Using AI Code Generation

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1var BestSum = require("./BestSum.js");2var bs = new BestSum();3bs.add(1, 2);4bs.add(2, 3);5bs.add(3, 4);6bs.add(4, 5);7console.log(bs.values());8var BestSum = require("./BestSum.js");9var bs = new BestSum();10bs.add(1, 2);11bs.add(2, 3);12bs.add(3, 4);13bs.add(4, 5);14console.log(bs.values());15var BestSum = require("./BestSum.js");16var bs = new BestSum();17bs.add(1, 2);18bs.add(2, 3);19bs.add(3, 4);20bs.add(4, 5);21console.log(bs.values());22var BestSum = require("./BestSum.js");23var bs = new BestSum();24bs.add(1, 2);25bs.add(2, 3);26bs.add(3, 4);27bs.add(4, 5);28console.log(bs.values());29var BestSum = require("./BestSum.js");30var bs = new BestSum();31bs.add(1, 2);32bs.add(2, 3);33bs.add(3, 4);34bs.add(4, 5);35console.log(bs.values());

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Using AI Code Generation

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1var BestRoute = require('./BestRoute.js');2var bestRouteObj = new BestRoute();3var route = bestRouteObj.values();4console.log(route);5var BestRoute = function(){6 this.route = "Route 66";7 this.values = function(){8 return this.route;9 }10}11module.exports = BestRoute;12var BestRoute = require('./BestRoute.js');13var route = BestRoute.values();14console.log(route);15var BestRoute = function(){16 this.route = "Route 66";17 this.values = function(){18 return this.route;19 }20}21module.exports = BestRoute;22var BestRoute = require('./BestRoute.js');23var route = BestRoute.values();24console.log(route);25var BestRoute = function(){26 this.route = "Route 66";27 this.values = function(){28 return this.route;29 }30}31module.exports = BestRoute;32var BestRoute = require('./BestRoute.js');33var route = BestRoute.values();34console.log(route);35var BestRoute = function(){36 this.route = "Route 66";

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Using AI Code Generation

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1var BestRestaurants = require("./BestRestaurants.js");2var restaurants = new BestRestaurants();3restaurants.add("Olive Garden", 2);4restaurants.add("TGI Friday's", 3);5restaurants.add("Applebee's", 1);6restaurants.add("Red Lobster", 5);7restaurants.add("Outback Steakhouse", 4);8var restaurantNames = restaurants.names();9var restaurantRatings = restaurants.ratings();10for (var i = 0; i < restaurantNames.length; i++) {11 console.log(restaurantNames[i] + ": " + restaurantRatings[i]);12}13function BestRestaurants() {14 this.restaurantNames = [];15 this.restaurantRatings = [];16 this.add = add;17 this.names = names;18 this.ratings = ratings;19}20function add(name, rating) {21 this.restaurantNames.push(name);22 this.restaurantRatings.push(rating);23}24function names() {25 return this.restaurantNames;26}27function ratings() {28 return this.restaurantRatings;29}30module.exports = BestRestaurants;

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