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How to use getStructure method in fMBT

Best Python code snippet using fMBT_python

backpropagation.py

Source:backpropagation.py

...44            lastProgressUpdate = 045            totalTrainingCost = 046            for miniBatch in range(int(self.__inputSize / self.__miniBatchSize)):47                deltaSum = [np.array([0])]48                for layerSize in self.__network.getStructure()[1:]:49                    deltaSum.append(np.zeros(layerSize))50                grads = []51                for layer in range(len(self.__network.getStructure())-1):52                    grads.append(np.zeros((self.__network.getStructure()[layer+1], self.__network.getStructure()[layer])))5354                for trainingExample in range(self.__miniBatchSize):55                    currentIndex = miniBatch * self.__miniBatchSize + trainingExample56                    percentProgress = currentIndex / (int(self.__inputSize / self.__miniBatchSize) * self.__miniBatchSize)57                    if percentProgress > lastProgressUpdate + 0.005:58                        self.__UIelements.updateProgressBar(percentProgress*100)59                        lastProgressUpdate = percentProgress60                    61                    # forward calculation62                    trainingImage, actualLabel = self.__getTrainingExample(trainingIndices[currentIndex])63                    exampleCost = self.__exampleCost(trainingImage.reshape(784), actualLabel)64                    totalTrainingCost += exampleCost6566                    # back propagation of errors67                    deltas = [np.array([0])]68                    for layerSize in self.__network.getStructure()[1:]:69                        deltas.append(np.zeros(layerSize))70                    targetOutputActivations = np.zeros(self.__network.getStructure()[-1])71                    targetOutputActivations[actualLabel] = 172                    outputActivations = self.__network.getNeuronActivation(len(self.__network.getStructure())-1, range(self.__network.getStructure()[-1]))73                    deltas[len(self.__network.getStructure())-1] = (outputActivations - targetOutputActivations) * (outputActivations) * (1 - outputActivations)74                    for layer in range(len(self.__network.getStructure())-1,0,-1):75                        layerActivation = self.__network.getNeuronActivation(layer-1, range(self.__network.getStructure()[layer-1]))76                        deltas[layer-1] = (np.transpose(self.__network.getConnectionWeights(layer-1)) @ deltas[layer]) * (layerActivation) * (1 - layerActivation)77                    78                    # accumulators79                    for layer in range(len(self.__network.getStructure())-1):80                        deltaSum[layer+1] += deltas[layer+1]81                        grads[layer] += deltas[layer+1].reshape(len(deltas[layer+1]),1) * self.__network.getNeuronActivation(layer, range(self.__network.getStructure()[layer]))82                    83                # gradient descent84                for layer in range(len(self.__network.getStructure())-1):85                    weights = self.__network.getConnectionWeights(layer)86                    weights -= (self.__learningRate / self.__miniBatchSize) * grads[layer] + self.__regularisationConst * weights87                    self.__network.setConnectionWeights(layer, weights)88                    89                    biases = self.__network.getNeuronBias(layer+1, range(self.__network.getStructure()[layer+1]))90                    biases -= (self.__learningRate / self.__miniBatchSize) * deltaSum[layer+1]91                    self.__network.setNeuronBias(layer+1, range(self.__network.getStructure()[layer+1]), biases)9293            lossHistoryTrainer.append(totalTrainingCost / self.__inputSize)94            95            # Validation (random subset of test set)96            np.random.shuffle(validationIndices)97            totalValidationCost = 098            totalErrors = 099            validationSetSize = max(int(self.__inputSize/60), 500)100            for validationIndex in range(validationSetSize):101                validationImage, actualLabel = self.__getValidationExample(validationIndices[validationIndex])102                testImageCost = self.__exampleCost(validationImage.reshape(784), actualLabel)103                totalValidationCost += testImageCost104                if actualLabel != np.argmax(self.__network.getNeuronActivation(len(self.__network.getStructure())-1, range(self.__network.getStructure()[-1]))):105                    totalErrors += 1106            lossHistoryValidation.append(totalValidationCost / validationSetSize)107            errorHistory.append(10 * totalErrors / validationSetSize)108            109            self.__UIelements.drawGraphs(lossHistoryTrainer, lossHistoryValidation, errorHistory)110            self.__UIelements.writeToLog('done.\n')111            112            if 'saveIntervals' in kwargs and 'saveFileRoot' in kwargs:113                if kwargs['saveFileRoot'].endswith('.nn'):114                    fileRoot = kwargs['saveFileRoot'][:-len('.nn')]115                else:116                    fileRoot = kwargs['saveFileRoot']117                indexLength = int(np.ceil(np.log10(max(kwargs['saveIntervals'])+1)))118                if epoch+1 in kwargs['saveIntervals']:119                    saveFile = fileRoot + '{:0{}d}.nn'.format(epoch+1, indexLength)120                    nn.saveNetwork(self.__network, saveFile)121    122    def __exampleCost(self, inputLayer, desiredOutput):123        self.__network.setNeuronActivation(0, range(self.__network.getStructure()[0]), inputLayer)124        self.__network.evaluate()125        target = np.zeros(self.__network.getStructure()[-1])126        target[desiredOutput] = 1127        return np.sum((self.__network.getNeuronActivation(len(self.__network.getStructure())-1, range(self.__network.getStructure()[-1]))-target)**2)128    129    def setTrainingSet(self, trainingSetImages, trainingSetLabels):130        self.__trainingSetImages = trainingSetImages131        self.__trainingSetLabels = trainingSetLabels132        self.__trainingLoaded = True133        134    def __getTrainingExample(self, indices):135        images = self.__trainingSetImages[indices]136        labels = self.__trainingSetLabels[indices]137        return images, labels138    139    def setValidationSet(self, validationSetImages, validationSetLabels):140        self.__validationSetImages = validationSetImages141        self.__validationSetLabels = validationSetLabels
...

Compare.py

Source:Compare.py

...54        return mark, lost_tables_in_ref, lost_tables_in_tar55    def compTablesStructure(self, resTable, tagTable, sequential="1", col_properties="1"):56        if isinstance(resTable, Table) and isinstance(tagTable, Table):57            # è·ååååè¡¨58            resColumns = [structure[0] for structure in resTable.getStructure()]59            tagColumns = [structure[0] for structure in tagTable.getStructure()]60            list_msg = []61            mark = True62            # éªè¯ååä¸ªæ°63            if len(resColumns) != len(tagColumns):64                list_msg.append("table:%s columns:%d != table:%s columns:%d" % (resTable.getName(), len(resColumns),65                                                                                tagTable.getName(), len(tagColumns)))66            else:67                if sequential == "1":68                    for i in range(len(tagColumns)):69                        if tagColumns[i] != resColumns[i]:70                            list_msg.append("target:%s sequential != refence:%s sequential!" % (71                            tagTable.getName(), resTable.getName()))72            # è·åæ°å¢åæ®µä¸åå°åæ®µ73            columns_add = [column for column in tagColumns if column not in resColumns]74            columns_del = [column for column in resColumns if column not in tagColumns]75            if len(columns_add) > 0:76                list_msg.append("Added columns:%s" % ",".join(columns_add))77            if len(columns_del) > 0:78                list_msg.append("Deleted columns:%s" % ",".join(columns_del))79            # éªè¯åæ®µå±æ§80            if col_properties == "1":81                columns_both = [column for column in tagColumns if column in resColumns]82                dict_res = {structure[0]: structure for structure in resTable.getStructure() if83                            structure[0] in columns_both}84                dict_tag = {structure[0]: structure for structure in tagTable.getStructure() if85                            structure[0] in columns_both}86                for col in columns_both:87                    if dict_res[col] != dict_tag[col]:88                        list_msg.append("refrence column-%s:%s != target column-%s:%s" % (col, dict_res[col],89                                                                                          col, dict_tag[col]))90            if len(list_msg) > 0:91                mark = False92            msg = "\n".join(list_msg)93            return mark, msg94    def compareData(self, resTable, tagTable):95        if isinstance(resTable, Table) and isinstance(tagTable, Table):96            # å¼å§å¯¹æ¯æ°æ®97            list_msg = ["FAIL: %s != %s" % (resTable.getInfo(), tagTable.getInfo())]98            if len(resTable.getData()) != len(tagTable.getData()):99                list_msg.append("%s %d rows != %s %d rows" % (100                    resTable.getInfo(), len(resTable.getData()), tagTable.getInfo(), len(tagTable.getData())101                ))102            else:103                for line, resRow in enumerate(resTable.getData()):104                    if resRow not in tagTable.getData():  # è¯¥è¡ä¸å¨ç®æ è¡¨ä¸ï¼æ¤è¡æ°æ®å¯è½ä¸¢å¤±105                        if len(resTable.getPrimarykey()) > 0:  # ä¸»é®ä¸ä¸ºç©ºï¼è¦è¿è¡è¯¦ç»å¯¹æ¯106                            bool_row_status, str_rs = self.__compareRowData(resTable, tagTable, resRow)107                            if not bool_row_status:108                                list_msg.append(str_rs)109                            else:110                                list_msg.append("%s line %d is not found in %s\n(%s)" % (111                                    resTable.getInfo(), line + 1, tagTable.getInfo(),112                                    ",".join(map(lambda col: str(col), resRow))113                                ))114            if len(list_msg) == 1:115                print("*INFO* PASS: %s = %s " % (resTable.getInfo(), tagTable.getInfo()))116            msg = ("\n").join(list_msg)117            return len(list_msg) == 1, msg118    def __compareRowData(self, resTable, tagTable, resRow):119        list_resPri_index = [resTable.getStructure().index(key) for key in resTable.getPrimarykey()]120        list_tagPri_index = [tagTable.getStructure().index(key) for key in tagTable.getPrimarykey()]121        tag_index = []122        if not resTable.getView():123            tag_index = [tagTable.getStructure().index(resCol) for resCol in resTable.getStructure()]124        list_info = []125        for index in list_resPri_index:126            list_info.append("%s=%s" % (resTable.getStructure()[index], resRow[index]))127        line_info = " and ".join(list_info)128        errorMsg = ""129        find_row = False130        for tagRow in tagTable.getDb():131            flag = 0132            for i in xrange(len(list_resPri_index)):133                if resRow[list_resPri_index[i]] == tagRow[list_tagPri_index[i]]:134                    flag += 1135                else:136                    break137            if flag == len(list_resPri_index):  # è¯´ææ¾å°è¯¥è¡ï¼å¼å§å¯¹æ¯æ°æ®138                find_row = True139                list_msg = []140                if not resTable.getView():  # ä¸æ¯è§å¾ï¼ååå¨é¨åå141                    for i in xrange(len(tag_index)):142                        if resRow[i] != tagRow[tag_index[i]]:143                            str_msg = "%s(%s != %s)" % (resTable.getStructure()[i], resRow[i], tagRow[tag_index[i]])144                            list_msg.append(str_msg)145                else:  # è¡¨ä¸ºè§å¾ï¼ååå¯è½ä¸ä¸æ ·ï¼ä½æ¯å¯¹æ¯çæ°æ®ååºä¸ä¸å¯¹åº146                    for i in xrange(len(resRow)):147                        if resRow[i] != tagRow[i]:148                            str_msg = "%s.<%s> != %s.<%s>" % (149                                resTable.getStructure()[i], resRow[i], tagTable.getStructure()[i], tagRow[i])150                            list_msg.append(str_msg)151                if len(list_msg) > 0:152                    errorMsg = "Line %s    mismache columns:%s" % (line_info, "".join(list_msg))153                break  # æ¾å°è¿è¡ï¼éåºå¾ªç¯154        if not find_row:155            errorMsg = "Line %s is not found in %s" % (line_info, tagTable.getInfo())...

test_pipelines_asset.py

Source:test_pipelines_asset.py

...59def test_empty():60    fs = _get_test_fs()61    with mock_fs_scope(fs):62        expected = {}63        assert expected == fs.getStructure('counter')64        _bake_assets(fs)65        expected = {}66        assert expected == fs.getStructure('counter')67def test_one_file():68    fs = (_get_test_fs()69          .withFile('kitchen/assets/something.foo', 'A test file.'))70    with mock_fs_scope(fs):71        expected = {}72        assert expected == fs.getStructure('counter')73        _bake_assets(fs)74        expected = {'something.foo': 'A test file.'}75        assert expected == fs.getStructure('counter')76def test_one_level_dirtyness():77    fs = (_get_test_fs()78          .withFile('kitchen/assets/blah.foo', 'A test file.'))79    with mock_fs_scope(fs):80        _bake_assets(fs)81        expected = {'blah.foo': 'A test file.'}82        assert expected == fs.getStructure('counter')83        mtime = os.path.getmtime(fs.path('/counter/blah.foo'))84        assert abs(time.time() - mtime) <= 285        time.sleep(1)86        _bake_assets(fs)87        assert expected == fs.getStructure('counter')88        assert mtime == os.path.getmtime(fs.path('/counter/blah.foo'))89        time.sleep(1)90        fs.withFile('kitchen/assets/blah.foo', 'A new test file.')91        _bake_assets(fs)92        expected = {'blah.foo': 'A new test file.'}93        assert expected == fs.getStructure('counter')94        assert mtime < os.path.getmtime(fs.path('/counter/blah.foo'))95def test_two_levels_dirtyness():96    plugname = _get_test_plugin_name()97    fs = (_get_test_fs(plugins=[plugname], processors=['foo'])98          .withFile('kitchen/assets/blah.foo', 'A test file.'))99    _create_test_plugin(fs, plugname, foo_exts={'foo': 'bar'})100    with mock_fs_scope(fs):101        _bake_assets(fs)102        expected = {'blah.bar': 'FOO: A test file.'}103        assert expected == fs.getStructure('counter')104        mtime = os.path.getmtime(fs.path('/counter/blah.bar'))105        assert abs(time.time() - mtime) <= 2106        time.sleep(1)107        _bake_assets(fs)108        assert expected == fs.getStructure('counter')109        assert mtime == os.path.getmtime(fs.path('/counter/blah.bar'))110        time.sleep(1)111        fs.withFile('kitchen/assets/blah.foo', 'A new test file.')112        _bake_assets(fs)113        expected = {'blah.bar': 'FOO: A new test file.'}114        assert expected == fs.getStructure('counter')115        assert mtime < os.path.getmtime(fs.path('/counter/blah.bar'))116def test_removed():117    fs = (_get_test_fs()118          .withFile('kitchen/assets/blah1.foo', 'A test file.')119          .withFile('kitchen/assets/blah2.foo', 'Ooops'))120    with mock_fs_scope(fs):121        expected = {122            'blah1.foo': 'A test file.',123            'blah2.foo': 'Ooops'}124        assert expected == fs.getStructure('kitchen/assets')125        _bake_assets(fs)126        assert expected == fs.getStructure('counter')127        time.sleep(1)128        os.remove(fs.path('/kitchen/assets/blah2.foo'))129        expected = {130            'blah1.foo': 'A test file.'}131        assert expected == fs.getStructure('kitchen/assets')132        _bake_assets(fs)133        assert expected == fs.getStructure('counter')134def test_record_version_change():135    plugname = _get_test_plugin_name()136    fs = (_get_test_fs(plugins=[plugname], processors=['foo'])137          .withFile('kitchen/assets/blah.foo', 'A test file.'))138    _create_test_plugin(fs, plugname)139    with mock_fs_scope(fs):140        time.sleep(1)141        _bake_assets(fs)142        time.sleep(0.1)143        mtime = os.path.getmtime(fs.path('counter/blah.foo'))144        time.sleep(1)145        _bake_assets(fs)146        time.sleep(0.1)147        assert mtime == os.path.getmtime(fs.path('counter/blah.foo'))148        MultiRecord.RECORD_VERSION += 1149        try:150            time.sleep(1)151            _bake_assets(fs)152            time.sleep(0.1)153            assert mtime < os.path.getmtime(fs.path('counter/blah.foo'))154        finally:155            MultiRecord.RECORD_VERSION -= 1156@pytest.mark.parametrize('patterns, expected', [157    (['_'],158     {'something.html': 'A test file.'}),159    (['html'],160     {}),161    (['/^_/'],162     {'something.html': 'A test file.',163      'foo': {'_important.html': 'Important!'}})164])165def test_ignore_pattern(patterns, expected):166    fs = (_get_test_fs()167          .withFile('kitchen/assets/something.html', 'A test file.')168          .withFile('kitchen/assets/_hidden.html', 'Shhh')169          .withFile('kitchen/assets/foo/_important.html', 'Important!'))170    fs.withConfig({'pipelines': {'asset': {'ignore': patterns}}})171    with mock_fs_scope(fs):172        assert {} == fs.getStructure('counter')173        _bake_assets(fs)174        assert expected == fs.getStructure('counter')175@pytest.mark.parametrize('names, expected', [176    ('all', ['browserify', 'cleancss', 'compass', 'copy', 'concat', 'less',177             'requirejs', 'sass', 'sitemap', 'uglifyjs', 'pygments_style']),178    ('all -sitemap', ['browserify', 'cleancss', 'copy', 'compass', 'concat',179                      'less', 'requirejs', 'sass', 'uglifyjs',180                      'pygments_style']),181    ('-sitemap -less -sass all', ['browserify', 'cleancss', 'copy', 'compass',182                                  'concat', 'requirejs', 'uglifyjs',183                                  'pygments_style']),184    ('copy', ['copy']),185    ('less sass', ['less', 'sass'])186])187def test_filter_processor(names, expected):188    fs = mock_fs().withConfig()...

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