KaneAI - World’s First E2E Software Testing Agent.Book a Demo Join TestMu Conference

How to use shrunk method in hypothesis

Best Python code snippet using hypothesis

xBrepFace_tryGetPrimitiveShape.py

Source:xBrepFace_tryGetPrimitiveShape.py

1"""2190521,22: Import-related update.3190523-24: Added some functions.4190529: Removed a function.5190530-31: Improved printed output.6190605: Fixed a minor bug.7190617: Improved efficiency of a function.8190619: Added a function.9190721: Argument name change.10190722-24: Refactoring.  Changed output of some functions.11190730: More feedback is now returned from a function.12190731: Removed some debug prints.13190809-10: Corrected the default return value in a function.14190822: Modified a comment.15191118-19: Import-related update.16"""1718import Rhino19import Rhino.Geometry as rg20import scriptcontext as sc2122import xPlaneSurface23import xPrimitiveShape242526def tryGetPlane(rgFace0, bMatchToShrunkFace=True, fTolerance=sc.doc.ModelAbsoluteTolerance, bDebug=False):27    28    if bMatchToShrunkFace:29        rgBrep_1Face_Shrunk = rgFace0.DuplicateFace(False)30        rgBrep_1Face_Shrunk.Faces.ShrinkFaces()31        rgFace_Shrunk = rgBrep_1Face_Shrunk.Faces[0]32        rgSrfs_ToTry = rgFace0.UnderlyingSurface(), rgFace_Shrunk.UnderlyingSurface()33    else:34        rgSrfs_ToTry = rgFace0.UnderlyingSurface(),35    36    for i_NotShrunk_Shrunk, rgSrf_ToTry in enumerate(rgSrfs_ToTry):37        rc = xPrimitiveShape.Surface.tryGetPlane(38                rgSrf_ToTry,39                fTolerance=fTolerance,40                bDebug=bDebug)41        if rc[0]:42            if bMatchToShrunkFace: rgBrep_1Face_Shrunk.Dispose()43            rgPlane_Found, fTol_PlaneFound = rc44            if not rgPlane_Found.IsValid:45                return None, "Plane is not valid."46            bShrunkUsed = bool(i_NotShrunk_Shrunk)47            return (rgPlane_Found, fTol_PlaneFound, bShrunkUsed), None48    49    if bMatchToShrunkFace: rgBrep_1Face_Shrunk.Dispose()50    51    return None, "Plane not found within tolerance of {:.2e}.".format(fTolerance)525354def tryGetRoundPrimitive(rgFace0, bMatchToShrunkFace=True, bCylinder=True, bCone=True, bSphere=True, bTorus=True, fTolerance=sc.doc.ModelAbsoluteTolerance, bDebug=False):55    """56    Round primitives are Cone, Cylinder, Sphere, and Torus.57    """58    59    if bDebug:60        reload(xPrimitiveShape)61    62    if bMatchToShrunkFace:63        rgBrep_1Face_Shrunk = rgFace0.DuplicateFace(False)64        rgBrep_1Face_Shrunk.Faces.ShrinkFaces()65        rgFace_Shrunk = rgBrep_1Face_Shrunk.Faces[0]66        rgFaces_ToTest = rgFace0, rgFace_Shrunk67        rgSrfs_ToTry = rgFace0.UnderlyingSurface(), rgFace_Shrunk.UnderlyingSurface()68    else:69        rgSrfs_ToTry = rgFace0.UnderlyingSurface(),70    71    for i_NotShrunk_Shrunk, rgSrf_ToTry in enumerate(rgSrfs_ToTry):72        rc = xPrimitiveShape.Surface.tryGetRoundPrimitive(73                rgSrf0=rgSrf_ToTry,74                bCylinder=bCylinder,75                bCone=bCone,76                bSphere=bSphere,77                bTorus=bTorus,78                fTolerance=fTolerance,79                bDebug=bDebug)80        if rc[0]:81            if bMatchToShrunkFace: rgBrep_1Face_Shrunk.Dispose()82            rgShape_Found, fTol_ShapeFound = rc83            if not rgShape_Found.IsValid:84                return None, "{} is not valid.".format(rgShape_Found.GetType().Name)85            bShrunkUsed = bool(i_NotShrunk_Shrunk)86            return (rgShape_Found, fTol_ShapeFound, bShrunkUsed), None87    88    if bMatchToShrunkFace: rgBrep_1Face_Shrunk.Dispose()89    90    return None, "Round primitive not found within tolerance of {:.2e}.".format(fTolerance)919293def tryGetPlaneSurface(rgFace0, bMatchToShrunkFace=True, fTolerance=0.1*sc.doc.ModelAbsoluteTolerance, bDebug=False):94    """95    Return on success:96        PlaneSurface at a size relative to the BrepFace97        fTol_Used98        bShrunkUsed99    Return on fail:100        None101        String: Log statement.102    """103    104    rgSrf_Face0 = rgFace0.UnderlyingSurface()105    106    if isinstance(rgSrf_Face0, rg.PlaneSurface):107        return None, "Surface is already a PlaneSurface."108    109    rc = tryGetPlane(110            rgFace0,111            bMatchToShrunkFace=bMatchToShrunkFace,112            fTolerance=fTolerance,113            bDebug=bDebug)114    if rc[0] is None:115        return rc116    else:117        rgPlane1, fTol_Used, bShrunkUsed = rc[0]118    119    rgSrf1 = xPlaneSurface.createFromPlaneAndObjectSize(120            rgPlane=rgPlane1,121            obj_ForSize=rgFace0,122            bDebug=bDebug)123    if rgSrf1 is None:124        return None, "createFromPlaneAndObjectSize fail."125    126    return (rgSrf1, fTol_Used, bShrunkUsed), None127128129def tryGetRevSurfaceOfPrimitiveShape(rgFace0, bMatchToShrunkFace=True, bCylinder=True, bCone=True, bSphere=True, bTorus=True, fTolerance=0.1*sc.doc.ModelAbsoluteTolerance, bDebug=False):130    """131    """132    rgSrf0 = rgFace0.UnderlyingSurface()133    134    rc = tryGetRoundPrimitive(135            rgFace0=rgFace0,136            bMatchToShrunkFace=bMatchToShrunkFace,137            bCylinder=bCylinder,138            bCone=bCone,139            bSphere=bSphere,140            bTorus=bTorus,141            fTolerance=fTolerance,142            bDebug=bDebug)143    if rc[0] is None: return None, "No matching primitive shape found."144   145    rgShape1, fTol_PrimitiveMatch, bFoundUsingShunkFace = rc[0]146    147    if isinstance(rgSrf0, rg.RevSurface):148        if isinstance(rgShape1, rg.Cylinder) or isinstance(rgShape1, rg.Cone):149            if rgSrf0.IsClosed(0) or rgSrf0.IsClosed(1):150                return None, "Surface is already a RevSurface of {} shape.".format(rgShape1.GetType().Name)151        152        if isinstance(rgShape1, rg.Sphere) or isinstance(rgShape1, rg.Torus):153            if rgSrf0.IsClosed(0) and rgSrf0.IsClosed(1):154                return None, "Surface is already a RevSurface of {} shape.".format(rgShape1.GetType().Name)155    156    typeShape1 = rgShape1.GetType()157    if not rgShape1.IsValid:158        return None, "{} is not valid.".format(typeShape1)159    160    if typeShape1 == rg.Plane:161        rgPlane = rgShape1162        sType = "Plane"163        rgSrf_Converted = xPlaneSurface.createFromPlaneAndObjectSize(164                rgPlane, rgFace0)165        if rgSrf_Converted is not None:166            return (rgSrf_Converted, fTol_PrimitiveMatch, bFoundUsingShunkFace), None167        else:168            sPrint = 'rgSrf_Converted'169            return None, sPrint + ':', eval(sPrint)170    171    elif typeShape1 == rg.Cylinder:172        rgCyl = rgShape1173        sType = "Cylinder"174        # Fix cylinder that is infinite (has 0 height).175        if not rgCyl.IsFinite:176            if bDebug: print "Making cylinder finite..."177            rgBbox_Face = rgFace0.GetBoundingBox(True)178            fAddLen = 1.1 * rgBbox_Face.Min.DistanceTo(rgBbox_Face.Max)179            rgCyl.Height1 = -fAddLen180            rgCyl.Height2 = fAddLen181        182        183        #    for sAttr in dir(rgCyl):184        #        if (sAttr != 'Unset' and sAttr != '__doc__' and185        #                not callable(getattr(rgCyl, sAttr))):186        #            sPrint = 'rgCyl.' + sAttr; print sPrint + ':', eval(sPrint)187    188    #        sPrint = 'dir(rgCyl)'; print sPrint + ':', eval(sPrint)189        #sPrint = 'rgCyl.Unset'; print sPrint + ':', eval(sPrint)190    #        for sAttr in dir(rgCyl):191    #            if (sAttr != 'Unset' and sAttr != '__doc__' and192    #                    not callable(getattr(rgCyl, sAttr))):193    #                sPrint = 'rgShape1.' + sAttr; print sPrint + ':', eval(sPrint)194        195        elif rgCyl.TotalHeight < 2.0*sc.doc.ModelAbsoluteTolerance:196            if bDebug:197                print "Resultant height of cylinder is {}.".format(198                    rgCyl.TotalHeight)199                print "Using 100 times model's absolute tolerance."200            rgCyl.Height1 = -100.0*sc.doc.ModelAbsoluteTolerance201            rgCyl.Height2 = 100.0*sc.doc.ModelAbsoluteTolerance202        else:203            # Increase length of cylinder so that surface is always larger than trim.204            rgBbox_Face = rgFace0.GetBoundingBox(False)205            rgLines = rgBbox_Face.GetEdges()206            fMaxLen = 0207            for rgLine in rgLines:208                if rgLine.Length > fMaxLen: fMaxLen = rgLine.Length209            fAddLen = 1.1 * fMaxLen210            #fAddLen = 1.1 * rgBbox_Face.Min.DistanceTo(rgBbox_Face.Max)211            rgCyl.Height1 = -fAddLen212            rgCyl.Height2 = fAddLen213        214        rgSrf_Converted = rgCyl.ToRevSurface()215        if rgSrf_Converted is not None:216            return (rgSrf_Converted, fTol_PrimitiveMatch, bFoundUsingShunkFace), None217        else:218            return None, "RevSurface could not be obtained from Cylinder."219        220    elif typeShape1 == rg.Cone:221        rgCone = rgShape1222        sType = "Cone"223        rgSrf_Converted = rgCone.ToRevSurface()224        if rgSrf_Converted is not None:225            return (rgSrf_Converted, fTol_PrimitiveMatch, bFoundUsingShunkFace), None226        else:227            return None, "RevSurface could not be obtained from Cone."228        229        # Increase length of cone so that surface is always larger than trim.230        xf = rg.Transform.Scale(rgCone.ApexPoint, 1.1)231        rgSrf_Converted.Transform(xf)232        233    elif typeShape1 == rg.Sphere:234        rgSphere = rgShape1235        sType = "Sphere"236        rgSrf_Converted = rgSphere.ToRevSurface()237        if rgSrf_Converted is not None:238            return (rgSrf_Converted, fTol_PrimitiveMatch, bFoundUsingShunkFace), None239        else:240            return None, "RevSurface could not be obtained from Sphere."241        242    elif typeShape1 == rg.Torus:243        rgTorus = rgShape1244        sType = "Torus"245        rgSrf_Converted = rgTorus.ToRevSurface()246        if rgSrf_Converted is not None:247            return (rgSrf_Converted, fTol_PrimitiveMatch, bFoundUsingShunkFace), None248        else:249            return None, "RevSurface could not be obtained from Torus."250    251    return None, "What happened?"252    253    s  = "  {} found".format(sType)254    s += " matching {} underlying surface".format(255            "shrunk" if bFoundUsingShunkFace else "full")256    s += " at a tolerance of {}.".format(fTol_PrimitiveMatch)257    258    return (rgSrf_Converted, fTol_PrimitiveMatch, bFoundUsingShunkFace), s259260261def tryGetPrimitiveShape(rgFace0, bMatchToShrunkFace=True, bPlane=True, bCylinder=True, bCone=True, bSphere=True, bTorus=True, fTolerance=1e-9, bDebug=False):262    """263    Updated in May of 2019.  Based on hasPrimitiveShape.264    265    Returns:266        On Success (regardless if primitive is found):267            tuple:268                (269                    tuple: (rg.Plane or rg.Cylinder or rg.Cone or rg.Sphere or rg.Torus,270                    float of tolerance used to find shape,271                    'shrunk' or 'not shrunk')272                ,273                    str: (Fail log)274                )275        On fail: None, None276    """277    rgSrf_Face0 = rgFace0.UnderlyingSurface()278    279280    if bPlane:281        rc = tryGetPlane(282                rgFace0,283                bMatchToShrunkFace=bMatchToShrunkFace,284                fTolerance=fTolerance,285                bDebug=bDebug)286        if rc[0] is not None:287            return rc288289    if bCylinder or bCone or bSphere or bTorus:290        rc = tryGetRoundPrimitive(291                rgFace0=rgFace0,292                bMatchToShrunkFace=bMatchToShrunkFace,293                bCylinder=bCylinder,294                bCone=bCone,295                bSphere=bSphere,296                bTorus=bTorus,297                fTolerance=fTolerance,298                bDebug=bDebug)299        if rc[0] is not None:300            return rc301    302    return None, None
...

bigauto.py

Source:bigauto.py

1#!/usr/bin/env python2# Copyright © 1997, 1999, 2000 Progiciels Bourbeau-Pinard inc.3# François Pinard <pinard@iro.umontreal.ca>, 1997.4"""\5Produce statistics from the results of the bigauto check.6Usage: bigauto [RECODE_OPTION]... [CHARSET_OPTION]...7This script makes a simple analysis for the connectivity of the various8charsets and produce a report on standard output.  The reports include9statistics about the number of steps before and after optimisation.10The option `-hNAME' would affect the resulting output, because there are11more merging rules when this option is in effect.  Other options affect12the result: `-d', `-g' and, notably, `-s'.13All non-option arguments are interpreted as charset names.  If any is given,14the study is limited to those recodings having any of the given charsets15both as a starting and ending points.  If there is no such non-option16argument, all possible possible recodings are considered.17"""18import os, string, sys19def main(*arguments):20    recode_options = []21    charset_options = []22    for argument in arguments:23        if arguments[0] == '-':24            recode_options.append(argument)25        else:26            charset_options.append(argument)27    work_name = '/tmp/bigauto-data'28    if os.path.exists(work_name):29        os.remove(work_name)30    create_data(work_name, recode_options, charset_options)31    report = Report()32    report.digest_data(open(work_name).readline)33    report.produce_report(sys.stdout.write)34    os.remove(work_name)35def create_data(name, recode_options, charset_options):36    # Get the list of charsets.37    if charset_options:38        charsets = charset_options39    else:40        charsets = []41        for line in os.popen('recode -l').readlines():42            charset = string.split(line)[0]43            if charset[0] in ':/':44                continue45            charsets.append(charset)46    # Do the work, calling a subshell once per `before' value.47    recode_call = 'recode </dev/null -v %s' % string.join(recode_options)48    for before in charsets:49        if before in ('count-characters', 'dump-with-names',50                      'flat', 'Texinfo'):51            continue52        sys.stderr.write("Before charset: %s\n" % before)53        write = os.popen('sh >>%s 2>&1' % name, 'w').write54        write('export LANGUAGE; LANGUAGE=C\n'55              'export LANG; LANG=C\n'56              'export LC_ALL; LC_ALL=C\n')57        for after in charsets:58            if after != before:59                write("%s '%s..%s'\n" % (recode_call, before, after))60class Report:61    def __init__(self):62        self.recode_calls = 063        self.original_count = {}64        self.original_example = {}65        self.original_total = 066        self.shrunk_count = {}67        self.shrunk_example = {}68        self.shrunk_total = 069    def digest_data(self, readline):70        lensep = len(os.linesep)71        line = readline()72        while line:73            type, request = string.split(line[:-lensep], ':', 1)74            if type == 'Request':75                steps = self.get_steps(request)76                self.count_original_request(steps, request)77                line = readline()78                if line:79                    if len(string.split(line[:-lensep], ':', 1)) != 2:80                        print '*', line,81                    type, shrunk_to = string.split(line[:-lensep], ':', 1)82                    if type == 'Shrunk to':83                        steps = self.get_steps(shrunk_to)84                        self.count_shrunk_request(steps, shrunk_to)85                        line = readline()86                    else:87                        self.count_shrunk_request(steps, request)88                else:89                    self.count_shrunk_request(steps, request)90            else:91                sys.stderr.write('Unrecognized line: ' + line)92                line = readline()93    def get_steps(self, text):94        if text == '*mere copy*':95            return 096        if text[-1] == '/':97            text = text[:-1]98        text = string.replace(text, '/..', '..')99        count = 0100        for fragment in string.split(text, '..'):101            count = count + len(string.split(fragment, '/'))102        return count - 1103    def count_original_request(self, steps, text):104        self.recode_calls = self.recode_calls + 1105        if self.original_count.has_key(steps):106            self.original_count[steps] = self.original_count[steps] + 1107        else:108            self.original_count[steps] = 1109            self.original_example[steps] = string.strip(text)110            if self.original_total == 0:111                self.original_minimum = self.original_maximum = steps112            else:113                if steps < self.original_minimum:114                    self.original_minimum = steps115                if steps > self.original_maximum:116                    self.original_maximum = steps117        self.original_total = self.original_total + steps118    def count_shrunk_request(self, steps, text):119        if self.shrunk_count.has_key(steps):120            self.shrunk_count[steps] = self.shrunk_count[steps] + 1121        else:122            self.shrunk_count[steps] = 1123            self.shrunk_example[steps] = string.strip(text)124            if self.shrunk_total == 0:125                self.shrunk_minimum = self.shrunk_maximum = steps126            else:127                if steps < self.shrunk_minimum:128                    self.shrunk_minimum = steps129                if steps > self.shrunk_maximum:130                    self.shrunk_maximum = steps131        self.shrunk_total = self.shrunk_total + steps132    def produce_report(self, write):133        if self.recode_calls == 0:134            sys.stderr.write("No call to report\n")135            return136        write("\n"137              "Optimisation     Original  Shrunk\n"138              "              .-------------------\n"139              "Minimum       |  %2d        %2d\n"140              "Maximum       |  %2d        %2d\n"141              "Average       |  %4.1f      %4.1f\n"142              % (self.original_minimum, self.shrunk_minimum,143                 self.original_maximum, self.shrunk_maximum,144                 float(self.original_total) / float(self.recode_calls),145                 float(self.shrunk_total) / float(self.recode_calls)))146        write("\n"147              "Histogram for original requests\n")148        for steps in range(self.original_minimum, self.original_maximum+1):149            if self.original_count.has_key(steps):150                write("%5d steps, %5d times  %s\n"151                      % (steps, self.original_count[steps],152                         self.original_example[steps]))153        write("\n"154              "Histogram for shrunk requests\n")155        for steps in range(self.shrunk_minimum, self.shrunk_maximum+1):156            if self.shrunk_count.has_key(steps):157                write("%5d steps, %5d times  %s\n"158                      % (steps, self.shrunk_count[steps],159                         self.shrunk_example[steps]))160if __name__ == '__main__':...

explore_funcs.py

Source:explore_funcs.py

1import numpy as np 2import pandas as pd 3import scipy as sp4import seaborn as sns5import matplotlib.pyplot as plt6from functools import partial7from jwpy.betabinom import betabinom8def summarize_df(df, head=5, dropna=False):9    '''10    Quick summary of a pandas DataFrame.11    Args:12        df:13        head:14        dropna:15    '''16    # show variable types and numbers of unique levels17    summ = pd.DataFrame(18        [df.dtypes, df.nunique(dropna=dropna), df.isnull().mean(0)],19        index=['dtype', 'nunique', '%missing'])20    # append head21    summ = pd.concat([summ, df.head(head)], axis=0)22    print('{} rows x {} columns'.format(*df.shape))23    return summ24def shrink(values, a, b):25    '''26    Apply empirical Bayes shrinkage to binomial counts for a given Beta prior.27    Args:28        values:29        a:30        b: 31    '''32    zeros, ones = ((values==0).sum(), (values==1).sum())33    return (a + ones)/(a + b + zeros + ones)34def aov_xtab(values, index, columns, figsize=(13, 8), **kwargs):35    '''36    Exploratory plot for pairs of categorical predictors/features.37    Args:38        values:39        index:40        columns:41        figsize:42        kwargs:43    '''44    # group the variables into a DataFrame45    dat = pd.DataFrame({46        'values': values,47        'index': index,48        'columns': columns})49    # fit the beta-binomial model50    endog = pd.DataFrame({51        'k': dat.groupby(['index', 'columns'])['values'].sum(),52        'n': dat.groupby(['index', 'columns'])['values'].count()})53    a, b = betabinom(endog=endog).fit(**kwargs).params54    m = a / (a + b)55    # compute the shrunken cell means and sort the matrix by row/column means56    shrunk = pd.pivot_table(dat, values='values', index='index',57                            columns='columns',58                            aggfunc=partial(shrink, a=a, b=b), fill_value=m)59    new_index = shrunk.index[shrunk.mean(1).argsort()[::-1]]60    new_columns = shrunk.columns[shrunk.mean(0).argsort()[::-1]]61    shrunk = shrunk.reindex_axis(new_index, axis=0)62    shrunk = shrunk.reindex_axis(new_columns, axis=1)63    # compute the numbers of obs. per cell and sort by the same means as above64    annot = pd.crosstab(dat['index'], dat['columns'])65    annot = annot.reindex_axis(new_index, axis=0)66    annot = annot.reindex_axis(new_columns, axis=1)67    # print stuff68    print('SD of row means: {}'.format(shrunk.mean(1).std()))69    print('SD of column means: {}'.format(shrunk.mean(0).std()))70    interaction = shrunk.sub(shrunk.mean(1), axis=0).sub(shrunk.mean(0), axis=1)71    print('SD of row*column interaction: {}'.format(interaction.stack().std()))72    # plot!73    fig, ax = plt.subplots(figsize=figsize)74    return sns.heatmap(shrunk, annot=annot, fmt='.0f');75def shrink_1d(target, group, sort=True, **kwargs):76    '''77    Exploratory plot for pairs of categorical predictors/features.78    Args:79        target: binary (integer or boolean) DV80        group: grouping factor81        sort:82        kwargs:83    '''84    # group the variables into a DataFrame85    dat = pd.DataFrame({86        'target': target,87        'group': group})88    # fit the beta-binomial model89    endog = pd.DataFrame({90        'k': dat.groupby('group')['target'].sum(),91        'n': dat.groupby('group')['target'].count()})92    a, b = betabinom(endog=endog).fit(**kwargs).params93    m = a / (a + b)94    # compute the shrunken cell means and sort the matrix by row/column means95    shrunk = pd.pivot_table(dat, values='values', index='index',96        columns='columns', aggfunc=partial(shrink, a=a, b=b), fill_value=m)97    new_index = shrunk.index[shrunk.mean(1).argsort()[::-1]]98    new_columns = shrunk.columns[shrunk.mean(0).argsort()[::-1]]99    shrunk = shrunk.reindex_axis(new_index, axis=0)100    shrunk = shrunk.reindex_axis(new_columns, axis=1)101    # compute the numbers of obs. per cell and sort by the same means as above102    annot = pd.crosstab(dat['index'], dat['columns'])103    annot = annot.reindex_axis(new_index, axis=0)104    annot = annot.reindex_axis(new_columns, axis=1)105    # print stuff106    print('SD of row means: {}'.format(shrunk.mean(1).std()))107    print('SD of column means: {}'.format(shrunk.mean(0).std()))108    interaction = shrunk.sub(shrunk.mean(1), axis=0).sub(shrunk.mean(0), axis=1)109    print('SD of row*column interaction: {}'.format(interaction.stack().std()))110    # plot!111    fig, ax = plt.subplots(figsize=figsize)...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.