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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·åååå表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¯åå个æ°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¢å段ä¸åå°å段73 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¯å段å±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(): # 该è¡ä¸å¨ç®æ 表ä¸ï¼æ¤è¡æ°æ®å¯è½ä¸¢å¤±105 if len(resTable.getPrimarykey()) > 0: # 主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): # 说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: # 表为è§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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