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FILE: asset/share.js function r (line 23) | function r(e,t){if(e instanceof Array){for(var n=0,r=e.length;n getDictionary() { method main (line 59) | public static void main(String[] args) { FILE: docs/Algorithm/DataStructure/Summarization/python_base.py class Dict (line 284) | class Dict(dict): method __missing__ (line 285) | def __missing__(self, key): function func (line 419) | def func(): class Employee (line 424) | class Employee(object): function myfunc (line 476) | def myfunc(): # 函数定义 function add (line 712) | def add(x,y):return x + y class C1 (line 807) | class C1(C2, C3): method __init__ (line 809) | def __init__(self, name): # 函数属性:构造函数 method __del__ (line 811) | def __del__(self): # 函数属性:析构函数 method __init__ (line 880) | def __init__(self, name): method __str__ (line 882) | def __str__(self): class FirstClass (line 816) | class FirstClass(object): method test (line 817) | def test(self, string): method test (line 819) | def test(self): # 此时类中只有一个test函数 即后者test(self) 它覆盖掉前者带... class Manager (line 823) | class Manager(Person): method giveRaise (line 824) | def giveRaise(self, percent, bonus = .10): class method (line 841) | class.method(instance, arg...) function action (line 848) | def action(self): class Super (line 852) | class Super(metaclass = ABCMeta): method action (line 854) | def action(self): pass class A (line 858) | class A(B): class wrapper (line 866) | class wrapper(object): method __init__ (line 867) | def __init__(self, object): method __getattr (line 869) | def __getattr(self, attrname): class C1 (line 879) | class C1(object): method __init__ (line 809) | def __init__(self, name): # 函数属性:构造函数 method __del__ (line 811) | def __del__(self): # 函数属性:析构函数 method __init__ (line 880) | def __init__(self, name): method __str__ (line 882) | def __str__(self): class Spam (line 890) | class Spam(object): method doit (line 891) | def doit(self, message): class Student (line 915) | class Student(object): method __getattr__ (line 1061) | def __getattr__(self, attr): # 定义当获取类的属性时的返回值 method __call__ (line 1070) | def __call__(self): # 也可以带参数 function set_age (line 919) | def set_age(self, age): # 定义一个函数作为实例方法 class A (line 930) | class A(B, C): class FooParent (line 937) | class FooParent(object): method __init__ (line 938) | def __init__(self, a): method bar (line 941) | def bar(self, message): class FooChild (line 943) | class FooChild(FooParent): method __init__ (line 944) | def __init__(self, a): method bar (line 947) | def bar(self, message): class Methods (line 954) | class Methods(object): method imeth (line 955) | def imeth(self, x): print(self, x) # 实例方法：传入的是实例和数据，操作的是实例的属性 method smeth (line 956) | def smeth(x): print(x) # 静态方法：只传入数据 不传入实例，操作的是类的属性而不是... method cmeth (line 957) | def cmeth(cls, x): print(cls, x) # 类方法：传入的是类对象和数据 function smeth (line 970) | def smeth(x): print(x) function smeth (line 972) | def smeth(x): print(x) function cmeth (line 976) | def cmeth(cls, x): print(x) function cmeth (line 978) | def cmeth(cls, x): print(x) function decorator (line 982) | def decorator(aClass):..... class Student (line 990) | class Student(object): method __getattr__ (line 1061) | def __getattr__(self, attr): # 定义当获取类的属性时的返回值 method __call__ (line 1070) | def __call__(self): # 也可以带参数 class C (line 998) | class C(object): method __init__ (line 999) | def __init__(self): method getx (line 1002) | def getx(self): method setx (line 1004) | def setx(self, value): method delx (line 1006) | def delx(self): function x (line 1017) | def x(self): function x (line 1020) | def x(self, value): function x (line 1023) | def x(self): class Fib (line 1034) | class Fib(object): method __init__ (line 1035) | def __init__(self): method __iter__ (line 1037) | def __iter__(self): method next (line 1039) | def next(self): class Indexer (line 1047) | class Indexer(object): method __init__ (line 1048) | def __init__(self): method __getitem__ (line 1050) | def __getitem__(self, n): # 定义getitem方法 method __setitem__ (line 1053) | def __setitem__(self, key, value): # 定义setitem方法 class Student (line 1060) | class Student(object): method __getattr__ (line 1061) | def __getattr__(self, attr): # 定义当获取类的属性时的返回值 method __call__ (line 1070) | def __call__(self): # 也可以带参数 class Student (line 1069) | class Student(object): method __getattr__ (line 1061) | def __getattr__(self, attr): # 定义当获取类的属性时的返回值 method __call__ (line 1070) | def __call__(self): # 也可以带参数 function __len__ (line 1076) | def __len__(self): class MyBad (line 1136) | class MyBad(Exception): method __str__ (line 1137) | def __str__(self): class FormatError (line 1145) | class FormatError(Exception): method __init__ (line 1146) | def __init__(self, line ,file): method __init__ (line 1156) | def __init__(self, line ,file): method logger (line 1159) | def logger(self): class FormatError (line 1154) | class FormatError(Exception): method __init__ (line 1146) | def __init__(self, line ,file): method __init__ (line 1156) | def __init__(self, line ,file): method logger (line 1159) | def logger(self): class MyDict (line 1307) | class MyDict(dict): method __setitem__ (line 1308) | def __setitem__(self, key, value): # 该函数不做任何改动 这里只是为了输出 method __getitem__ (line 1311) | def __getitem__(self, item): # 主要技巧在该函数 FILE: src/py2.x/TreeRecursionIterator.py class Node (line 4) | class Node(): method __init__ (line 5) | def __init__(self, value, left=None, right=None): function midRecusion (line 10) | def midRecusion(node): function midIterator (line 17) | def midIterator(node): FILE: src/py2.x/list2iteration.py function calculate (line 10) | def calculate(l): function calculate2 (line 18) | def calculate2(l): FILE: src/py3.x/DataStructure/BinarySearch.py function binary_search (line 26) | def binary_search(nums, data): FILE: src/py3.x/DataStructure/BubbleSort.py function bubble_sort (line 14) | def bubble_sort(nums): FILE: src/py3.x/DataStructure/InsertionSort.py function insertion_sort (line 8) | def insertion_sort(nums): FILE: src/py3.x/DataStructure/MergeSort.py function MergeSort (line 4) | def MergeSort(nums): function Merge (line 17) | def Merge(left, right): FILE: src/py3.x/DataStructure/QuickSort.py function quick_sort (line 3) | def quick_sort(nums, start, end): FILE: src/py3.x/DataStructure/RadixSort.py function radix_sort_nums (line 4) | def radix_sort_nums(L): function get_num_pos (line 17) | def get_num_pos(num, pos): function radix_sort (line 20) | def radix_sort(L): FILE: src/py3.x/DataStructure/SelectionSort.py function selection_sort (line 8) | def selection_sort(nums): FILE: src/py3.x/DataStructure/ShellSort.py function insert_sort (line 4) | def insert_sort(l, start, increment): function shell_sort (line 12) | def shell_sort(l, increment): FILE: src/py3.x/TreeRecursionIterator.py class Node (line 4) | class Node(): method __init__ (line 5) | def __init__(self, value, left=None, right=None): function midRecusion (line 10) | def midRecusion(node): function midIterator (line 17) | def midIterator(node): FILE: src/py3.x/kaggle/featured/mercari-price-suggestion-challenge/script.py function rmsle (line 27) | def rmsle(y, y0): function split_cat (line 31) | def split_cat(text): function handle_missing_inplace (line 35) | def handle_missing_inplace(dataset): function cutting (line 43) | def cutting(dataset): function to_categorical (line 54) | def to_categorical(dataset): function main (line 61) | def main(): FILE: src/py3.x/kaggle/getting-started/digit-recognizer/cnn_pytorch-python3.6.py class CustomedDataSet (line 25) | class CustomedDataSet(Dataset): method __init__ (line 26) | def __init__(self, train=True): method __getitem__ (line 46) | def __getitem__(self, index): method __len__ (line 53) | def __len__(self): class CNN (line 67) | class CNN(nn.Module): method __init__ (line 68) | def __init__(self): method forward (line 91) | def forward(self, x): FILE: src/py3.x/kaggle/getting-started/digit-recognizer/knn-python3.6.py function opencsv (line 22) | def opencsv(): function dRPCA (line 34) | def dRPCA(x_train, x_test, COMPONENT_NUM): function trainModel (line 57) | def trainModel(trainData, trainLabel): function saveResult (line 63) | def saveResult(result, csvName): function dRecognition_knn (line 75) | def dRecognition_knn(): FILE: src/py3.x/kaggle/getting-started/digit-recognizer/rf-python3.6.py function opencsv (line 26) | def opencsv(): function dRPCA (line 37) | def dRPCA(data, COMPONENT_NUM=100): function trainModel (line 59) | def trainModel(X_train, y_train): function printAccuracy (line 80) | def printAccuracy(y_test, y_predict): function storeModel (line 90) | def storeModel(model, filename): function getModel (line 97) | def getModel(filename): function saveResult (line 104) | def saveResult(result, csvName): function trainRF (line 115) | def trainRF(): function preRF (line 145) | def preRF(): FILE: src/py3.x/kaggle/getting-started/digit-recognizer/svm-python3.6.py function opencsv (line 27) | def opencsv(): function dRCsv (line 39) | def dRCsv(x_train, x_test, preData, COMPONENT_NUM): function trainModel (line 65) | def trainModel(trainData, trainLabel): function saveResult (line 73) | def saveResult(result, csvName): function analyse_data (line 85) | def analyse_data(dataMat): function getOptimalAccuracy (line 122) | def getOptimalAccuracy(trainData, trainLabel, preData): function storeModel (line 173) | def storeModel(model, filename): function getModel (line 180) | def getModel(filename): function trainDRSVM (line 186) | def trainDRSVM(): function preDRSVM (line 202) | def preDRSVM(): function dataVisulization (line 219) | def dataVisulization(data, labels): FILE: src/py3.x/kaggle/getting-started/house-prices/base-model_lasso_python3.6.py function opencsv (line 18) | def opencsv(): function saveResult (line 26) | def saveResult(result): function ridgeRegression (line 31) | def ridgeRegression(trainData, trainLabel, df_test): function dataProcess (line 41) | def dataProcess(df_train, df_test): function Regression_ridge (line 51) | def Regression_ridge(): FILE: src/py3.x/kaggle/getting-started/house-prices/deeplearning_method.py function load_data (line 13) | def load_data(train_path, test_path): function pre_process_data (line 34) | def pre_process_data(df): function mini_batches (line 46) | def mini_batches(train_set, train_labels, mini_batch_size): function create_placeholders (line 74) | def create_placeholders(input_size, output_size): function forward_propagation (line 89) | def forward_propagation(x, parameters, keep_prob=1.0, hidden_activation=... function linear_activation_forward (line 114) | def linear_activation_forward(a_prev, w, b, activation): function initialize_parameters (line 140) | def initialize_parameters(layer_dims): function compute_cost (line 159) | def compute_cost(z3, y): function predict (line 171) | def predict(data, parameters): function rmse (line 190) | def rmse(predictions, labels): function rmsle (line 204) | def rmsle(predictions, labels): function l2_regularizer (line 218) | def l2_regularizer(cost, l2_beta, parameters, n_layers): function build_submission_name (line 237) | def build_submission_name(layers_dims, num_epochs, lr_decay, function plot_model_cost (line 271) | def plot_model_cost(train_costs, validation_costs, submission_name): function model (line 288) | def model(train_set, train_labels, validation_set, validation_labels, la... FILE: src/py3.x/kaggle/getting-started/house-prices/housePredice_335.py function ignore_warn (line 16) | def ignore_warn(*args, **kwargs): function rmsle_cv (line 200) | def rmsle_cv(model): class AveragingModels (line 274) | class AveragingModels(BaseEstimator, RegressorMixin, TransformerMixin): method __init__ (line 275) | def __init__(self, models): method fit (line 279) | def fit(self, X, y): method predict (line 289) | def predict(self, X): class StackingAveragedModels (line 302) | class StackingAveragedModels(BaseEstimator, RegressorMixin, TransformerM... method __init__ (line 303) | def __init__(self, base_models, meta_model, n_folds=5): method fit (line 309) | def fit(self, X, y): method predict (line 331) | def predict(self, X): function rmsle (line 347) | def rmsle(y, y_pred): FILE: src/py3.x/kaggle/getting-started/house-prices/jiangheng_houseprice.py function create_feature (line 86) | def create_feature(data): function processing (line 100) | def processing(data): FILE: src/py3.x/kaggle/getting-started/titanic/introduction-to-ensemblingStacking-in-python.py function get_title (line 76) | def get_title(name): function saveTmpTrainFile (line 123) | def saveTmpTrainFile(tmpFile,csvName): function saveTmpTestFile (line 146) | def saveTmpTestFile(tmpFile,csvName): class SklearnHelper (line 193) | class SklearnHelper(object): method __init__ (line 194) | def __init__(self, clf, seed=0, params=None): method train (line 198) | def train(self, x_train, y_train): method predict (line 201) | def predict(self, x): method fit (line 204) | def fit(self,x,y): method feature_importances (line 207) | def feature_importances(self,x,y): function get_oof (line 211) | def get_oof(clf, x_train, y_train, x_test): function saveResult (line 297) | def saveResult(result,csvName): FILE: src/py3.x/kaggle/getting-started/titanic/titanic-python3.6.py function opencsv (line 27) | def opencsv(): function do_DataPreprocessing (line 80) | def do_DataPreprocessing(titanic): function do_FeatureEngineering (line 164) | def do_FeatureEngineering(data, COMPONENT_NUM=0.9): function trainModel (line 192) | def trainModel(trainData, trainLabel): function main (line 327) | def main(): FILE: src/py3.x/kaggle/getting-started/titanic/titanic.py function replace_name (line 35) | def replace_name(x): function fun_scale (line 47) | def fun_scale(df_feature): function set_missing_feature (line 61) | def set_missing_feature(train_for_missingkey, data, info): function set_Cabin_type (line 79) | def set_Cabin_type(df): function fun_test_scale (line 140) | def fun_test_scale(feature_scale, df_feature): FILE: src/py3.x/kaggle/getting-started/word2vec-nlp-tutorial/test.py function review_to_wordlist (line 17) | def review_to_wordlist(review): FILE: src/py3.x/kaggle/playground/dogs-vs-cats/Pytorch-CNN.py class GetData (line 33) | class GetData(data.Dataset): method __init__ (line 34) | def __init__(self, root, transforms=None, train=True, test=Flase): method __len__ (line 101) | def __len__(self): method __getitem__ (line 112) | def __getitem__(self, index): FILE: src/py3.x/kaggle/playground/dogs-vs-cats/main的副本.py function main (line 115) | def main(): function train (line 237) | def train(train_loader, model, criterion, optimizer, epoch): function validate (line 292) | def validate(val_loader, model, criterion): function save_checkpoint (line 340) | def save_checkpoint(state, is_best, filename='checkpoint.pth.tar'): class AverageMeter (line 346) | class AverageMeter(object): method __init__ (line 349) | def __init__(self): method reset (line 352) | def reset(self): method update (line 358) | def update(self, val, n=1): function adjust_learning_rate (line 365) | def adjust_learning_rate(optimizer, epoch): function accuracy (line 372) | def accuracy(output, target, topk=(1, )): FILE: src/py3.x/kaggle/playground/dogs-vs-cats/models/AlexNet.py class AlexNet (line 6) | class AlexNet(BasicModule): method __init__ (line 11) | def __init__(self, num_classes=2): method forward (line 47) | def forward(self, x): FILE: src/py3.x/kaggle/playground/dogs-vs-cats/models/BasicModule.py class BasicModule (line 6) | class BasicModule(t.nn.Module): method __init__ (line 11) | def __init__(self): method load (line 15) | def load(self, path): method save (line 21) | def save(self, name=None): class Flat (line 32) | class Flat(t.nn.Module): method __init__ (line 37) | def __init__(self): method forward (line 41) | def forward(self, x): FILE: src/py3.x/kaggle/playground/dogs-vs-cats/models/ResNet34.py class ResidualBlock (line 6) | class ResidualBlock(nn.Module): method __init__ (line 10) | def __init__(self, inchannel, outchannel, stride=1, shortcut=None): method forward (line 22) | def forward(self, x): class ResNet34 (line 29) | class ResNet34(BasicModule): method __init__ (line 35) | def __init__(self, num_classes=2): method _make_layer (line 55) | def _make_layer(self, inchannel, outchannel, block_num, stride=1): method forward (line 70) | def forward(self, x): FILE: src/py3.x/list2iteration.py function calculate (line 10) | def calculate(l): function calculate2 (line 18) | def calculate2(l): FILE: src/script.py function format_file (line 6) | def format_file(filename, str1, str2): FILE: src/test.py class Solution (line 2) | class Solution(object): method searchInsert (line 3) | def searchInsert(self, nums, target): FILE: src/其他/wangyihuyudierti.java class Main (line 3) | public class Main { method main (line 4) | public static void main(String[] args) { method Helper (line 39) | private static int Helper(String s, int k) { FILE: src/其他/zhaoyinwangluokeji.java class Main (line 3) | public class Main { method main (line 4) | public static void main(String[] args) { method Helper (line 12) | private static void Helper(int n) {