v1 v2 ham Go until jurong point, crazy.. Available only in bugis n great world la e buffet... Cine there got amore wat... ham Ok lar... Joking wif u oni... spam Free entry in 2 a wkly comp to win FA Cup final tkts 21st May 2005. Text FA to 87121 to receive entry question(std txt rate)T&C's apply 08452810075over18's ham U dun say so early hor... U c already then say... ham Nah I don't think he goes to usf, he lives around here though spam FreeMsg Hey there darling it's been 3 week's now and no word back! I'd like some fun you up for it still? Tb ok! XxX std chgs to send, 螢1.50 to rcv ham Even my brother is not like to speak with me. They treat me like aids patent. ham As per your request 'Melle Melle (Oru Minnaminunginte Nurungu Vettam)' has been set as your callertune for all Callers. Press *9 to copy your friends Callertune spam WINNER!! As a valued network customer you have been selected to receivea 螢900 prize reward! To claim call 09061701461. Claim code KL341. Valid 12 hours only. spam Had your mobile 11 months or more? U R entitled to Update to the latest colour mobiles with camera for Free! Call The Mobile Update Co FREE on 08002986030 ham I'm gonna be home soon and i don't want to talk about this stuff anymore tonight, k? I've cried enough today. spam SIX chances to win CASH! From 100 to 20,000 pounds txt> CSH11 and send to 87575. Cost 150p/day, 6days, 16+ TsandCs apply Reply HL 4 info 以上格式的数据有3000条，运用朴素贝叶斯模型对以上格式的垃圾邮件进行分析，并写出详细代码

Create a simple console application allowing users to "make a sandwich" within a set caloric range. A list of available sandwich ingredients, along with their associated calories, is provided in the starter code. A user should be prompted to enter the minimum and maximum calories. The program will respond by creating and outputting a sandwich within the given calorie range. If the user enters a calorie range that makes it impossible to create a sandwich, the program should respond appropriately. In addition to the calorie range restriction, the program should also consider these requirements: Every sandwich must have exactly two slices of bread at the start and end of the sandwich. You may have multiple copies of ingredients, but they may not be adjacent. Example: {"Bread", "Ham", "Ham", "Lettuce", "Bread"} is NOT okay. Example: {"Bread", "Ham", "Lettuce", "Ham", "Bread"} IS okay. Every sandwich should use at least the minimum number of calories within the given range. Every sandwich should use, at most, the maximum number of calories within the given range without going over.

Here's a sample code in Python that can create a sandwich within a given calorie range: python import random # sandwich ingredients and their associated calories ingredients = { "Bread": 100, ...

def Ham_yy(N = 12,g2=2.0): Ilist = [sigmai] * N Ham_yy = 0.0 for loopi in range(N-1): Ilist[loopi] = g2sigmay Ilist[loopi+1] = sigmay Ham_yy = kron(Ilist)+Ham_yy Ilist = [sigmai] N return Ham_yy sigmax = np.array([[0, 1], [1, 0]]) sigmay = np.array([[0, -1j], [1j, 0]]) sigmaz = np.array([[1, 0j], [0, -1]]) sigmai = np.array([[1, 0j], [0, 1]])代码的作用

这段代码的作用是生成一个量子哈密顿量，其中包含了 N 个量子比特，每个量子比特的哈密顿量由 sigmay 和 sigmai 组成，其中 sigmay 是一个 Pauli Y 矩阵，sigmai 是一个单位矩阵。生成的哈密顿量是通过 kron 函数对...

解释这段代码def Ham_yy(N = 12,g2=2.0): Ilist = [sigmai] * N Ham_yy = 0.0 for loopi in range(N-1): Ilist[loopi] = g2sigmay Ilist[loopi+1] = sigmay Ham_yy = kron(Ilist)+Ham_yy Ilist = [sigmai] N return Ham_yy sigmax = np.array([[0, 1], [1, 0]]) sigmay = np.array([[0, -1j], [1j, 0]]) sigmaz = np.array([[1, 0j], [0, -1]]) sigmai = np.array([[1, 0j], [0, 1]])

具体来说，这个函数生成了一个由 N 个量子比特组成的哈密顿量，其中每个量子比特都可以处于基态或激发态，而哈密顿量则描述了这些量子比特之间的相互作用。在这个函数中，使用了 sigmax、sigmay、sigmaz 和 sigmai ...

namespace SandwichCalories { class Program { static void Main(string[] args) { // sandwich ingredients and their associated calories Dictionary<string, int> ingredients = new Dictionary<string, int>() { { "Bread", 100 }, { "Ham", 150 }, { "Lettuce", 10 }, { "Tomato", 20 }, { "Mayonnaise", 50 }, { "Cheese", 120 } }; // prompt user for calorie range Console.Write("Enter minimum calories: "); int min_calories = int.Parse(Console.ReadLine()); Console.Write("Enter maximum calories: "); int max_calories = int.Parse(Console.ReadLine()); // calculate the minimum and maximum calories for the sandwich int min_sandwich_calories = 2 * ingredients["Bread"] + ingredients.Values.Min() * 2; int max_sandwich_calories = 2 * ingredients["Bread"] + ingredients.Values.Max() * 2; // check if the calorie range is valid if (max_calories < min_sandwich_calories) { Console.WriteLine("Sorry, it is impossible to create a sandwich within the given calorie range."); } else { // create the sandwich List<string> sandwich = new List<string> { "Bread", "Bread" }; int sandwich_calories = 2 * ingredients["Bread"]; while (sandwich_calories < min_calories) { // add random ingredient string ingredient = ingredients.Keys.ElementAt(new Random().Next(ingredients.Count)); sandwich.Add(ingredient); sandwich_calories += ingredients[ingredient]; } while (sandwich_calories <= max_calories) { // add random ingredient string ingredient = ingredients.Keys.ElementAt(new Random().Next(ingredients.Count)); // check if the ingredient is the same as the previous one if (sandwich.Count >= 3 && ingredient == sandwich[sandwich.Count - 2]) { continue; } sandwich.Add(ingredient); sandwich_calories += ingredients[ingredient]; // check if the sandwich is already at the maximum calorie limit if (sandwich_calories == max_sandwich_calories) { break; } } // add the last slice of bread sandwich.Add("Bread"); // print the sandwich and its total calories Console.WriteLine("Your sandwich: " + string.Join(", ", sandwich)); Console.WriteLine("Total calories: " + sandwich_calories); } } } } 改进代码

// add ingredients until minimum calorie limit is reached while (sandwichCalories ) { Ingredient randomIngredient = GetRandomIngredient(ingredients); sandwich.Add(randomIngredient.Name); ...

不使用LINQ查询和操作集合改进代码 namespace SandwichCalories { class Program { static void Main(string[] args) { // sandwich ingredients and their associated calories Dictionary<string, int> ingredients = new Dictionary<string, int>() { { "Bread", 100 }, { "Ham", 150 }, { "Lettuce", 10 }, { "Tomato", 20 }, { "Mayonnaise", 50 }, { "Cheese", 120 } }; // prompt user for calorie range Console.Write("Enter minimum calories: "); int min_calories = int.Parse(Console.ReadLine()); Console.Write("Enter maximum calories: "); int max_calories = int.Parse(Console.ReadLine()); // calculate the minimum and maximum calories for the sandwich int min_sandwich_calories = 2 * ingredients["Bread"] + ingredients.Values.Min() * 2; int max_sandwich_calories = 2 * ingredients["Bread"] + ingredients.Values.Max() * 2; // check if the calorie range is valid if (max_calories < min_sandwich_calories) { Console.WriteLine("Sorry, it is impossible to create a sandwich within the given calorie range."); } else { // create the sandwich List<string> sandwich = new List<string> { "Bread", "Bread" }; int sandwich_calories = 2 * ingredients["Bread"]; while (sandwich_calories < min_calories) { // add random ingredient string ingredient = ingredients.Keys.ElementAt(new Random().Next(ingredients.Count)); sandwich.Add(ingredient); sandwich_calories += ingredients[ingredient]; } while (sandwich_calories <= max_calories) { // add random ingredient string ingredient = ingredients.Keys.ElementAt(new Random().Next(ingredients.Count)); // check if the ingredient is the same as the previous one if (sandwich.Count >= 3 && ingredient == sandwich[sandwich.Count - 2]) { continue; } sandwich.Add(ingredient); sandwich_calories += ingredients[ingredient]; // check if the sandwich is already at the maximum calorie limit if (sandwich_calories == max_sandwich_calories) { break; } } // add the last slice of bread sandwich.Add("Bread"); // print the sandwich and its total calories Console.WriteLine("Your sandwich: " + string.Join(", ", sandwich)); Console.WriteLine("Total calories: " + sandwich_calories); } } } }

One possible way to improve the code without using LINQ and manipulating collections is to simplify the while loop that adds random ingredients to the sandwich. Instead of generating a random index ...

详解def Ham_z(N=12,g1=1.0): Ilist = [sigmai]N Ham_z = np.zeros((2N,2N),dtype=np.complex128) for loopi in range(N): Ilist[loopi] = g1sigmaz Ham_z = kron(Ilist)+Ham_z Ilist = [sigmai] * N return Ham_z

这是一个关于哈密顿量的 Python 函数，用于计算一个由 N 个自旋组成的系统的哈密顿量，其中 g1 是一个常数，sigmai 和 sigmaz 是泡利矩阵。函数使用了 numpy 库中的 kron 函数来计算 Kronecker 积。

不使用LINQ查询和操作集合改进代码 namespace SandwichCalories { class Program { static void Main(string[] args) { // sandwich ingredients and their associated calories Dictionary<string, int> ingredients = new Dictionary<string, int>() { { "Bread", 66 }, { "Ham", 72 }, { "Bologna", 57 }, { "Chicken", 17 }, { "Corned Beef", 53 }, { "Salami", 40 }, { "Cheese, American", 104 }, { "Cheese, Cheddar", 113 }, { "Cheese, Havarti", 105 }, { "Mayonnaise", 94 }, { "Mustard", 10 }, { "Butter", 102 }, { "Garlic Aioli", 100 }, { "Sriracha", 15 }, { "Dressing, Ranch", 73 }, { "Dressing, 1000 Island", 59 }, { "Lettuce", 5 }, { "Tomato", 4 }, { "Cucumber", 4 }, { "Banana Pepper", 10 }, { "Green Pepper", 3 }, { "Red Onion", 6 }, { "Spinach", 7 }, { "Avocado", 64 } }; // prompt user for calorie range Console.Write("Enter minimum calories: "); int min_calories = int.Parse(Console.ReadLine()); Console.Write("Enter maximum calories: "); int max_calories = int.Parse(Console.ReadLine()); // calculate the minimum and maximum calories for the sandwich int min_sandwich_calories = 2 * ingredients["Bread"] + ingredients.Values.Min() * 2; int max_sandwich_calories = 2 * ingredients["Bread"] + ingredients.Values.Max() * 2; // check if the calorie range is valid if (max_calories < min_sandwich_calories) { Console.WriteLine("Sorry, it is impossible to create a sandwich within the given calorie range."); } else { // create the sandwich List<string> sandwich = new List<string> { "Bread" }; int sandwich_calories = 1 * ingredients["Bread"]; while (sandwich_calories < min_calories) { // add random ingredient string ingredient = ingredients.Keys.ElementAt(new Random().Next(ingredients.Count)); sandwich.Add(ingredient); sandwich_calories += ingredients[ingredient]; } while (sandwich_calories <= max_calories) { // add random ingredient string ingredient = ingredients.Keys.ElementAt(new Random().Next(ingredients.Count)); // check if the ingredient is the same as the previous one if (sandwich.Count >= 3 && ingredient == sandwich[sandwich.Count - 2]) { continue; } sandwich.Add(ingredient); sandwich_calories += ingredients[ingredient]; // check if the sandwich is already at the maximum calorie limit if (sandwich_calories == max_sandwich_calories) { break; } } // add the last slice of bread sandwich.Add("Bread"); // print the sandwich and its total calories Console.WriteLine("Your sandwich: " + string.Join(", ", sandwich)); Console.WriteLine("Total calories: " + sandwich_calories); } } } }

{ "Ham", 72 }, { "Bologna", 57 }, { "Chicken", 17 }, { "Corned Beef", 53 }, { "Salami", 40 }, { "Cheese, American", 104 }, { "Cheese, Cheddar", 113 }, { "Cheese, Havarti", 105 }, { ...

from sklearn.naive_bayes import BernoulliNB,MultinomialNB from sklearn.feature_extraction.text import CountVectorizer from sklearn.model_selection import train_test_split import pandas as pd path = 'E:/Python_file/zuoye/SMSSpamCollection.txt' Cnames=['labels','messages'] data = pd.read_csv(path,sep='\t', header=None, names=Cnames) #读取数据集，分隔符是\t data=data.replace({'ham':0,'spam':1}) #替换标签值 print('数据集展示：') print(data) print('\n----------------------------------\n') X=data['messages'] y=data['labels'] x_train,x_test,y_train,y_test=train_test_split(X,y,train_size=0.8,random_state=123) vector_nomial=CountVectorizer() #实现词袋模型 vector_bernou=CountVectorizer() #多项式模型分类垃圾短信 train_matrix=vector_nomial.fit_transform(x_train) test_matrix=vector_nomial.transform(x_test) polynomial=MultinomialNB() clm_nomial=polynomial.fit(train_matrix,y_train) result_nomial=clm_nomial.predict(test_matrix) #伯努利模型分类垃圾短信 train_matrix=vector_bernou.fit_transform(x_train) test_matrix=vector_bernou.transform(x_test) Bernoulli=BernoulliNB() clm_bernoulli=Bernoulli.fit(train_matrix,y_train) result_bernou=clm_bernoulli.predict(test_matrix) print('多项式模型的预测结果,类型，长度：') print(result_nomial,type(result_nomial),result_nomial.shape) print('多项式模型的前一百个预测结果：') print(result_nomial[0:100]) print('多项式模型模型R²评分：'+ str(clm_nomial.score(test_matrix,y_test))) print('\n----------------------------------\n') print('伯努利模型的预测结果,类型，长度：') print(result_bernou,type(result_bernou),result_bernou.shape) print('伯努利模型的前一百个预测结果：') print(result_bernou[0:100]) print('伯努利模型R²评分：'+ str(clm_bernoulli.score(test_matrix,y_test)))

print('\n----------------------------------\n') print('伯努利模型的预测结果,类型，长度：') print(result_bernou, type(result_bernou), result_bernou.shape) print('伯努利模型的前一百个预测结果：') print...

df = pd.read_csv('./spam.csv', encoding="latin-1") df=df[['class','message']] df['label'] = df['class'].map({'ham': 0, 'spam': 1}) df.head() #%% #构造训练集和测试集 X = df['message'] y = df['label'] cv = CountVectorizer() X = cv.fit_transform(X) X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=42) #朴素贝叶斯分类器 clf = MultinomialNB() clf.fit(X_train,y_train) clf.score(X_test,y_test) y_pred = clf.predict(X_test) print(classification_report(y_test, y_pred))解释上述代码

3. 将“class”列中的“ham”和“spam”标签映射为数字0和1，并将结果存储到一个新列“label”中。 4. 对“message”列中的文本内容进行向量化处理，使用CountVectorizer函数将文本数据转换为数字向量。 5. 将数据...

import random # sandwich ingredients and their associated calories ingredients = { "Bread": 100, "Ham": 150, "Lettuce": 10, "Tomato": 20, "Mayonnaise": 50, "Cheese": 120 } # prompt user for calorie range min_calories = int(input("Enter minimum calories: ")) max_calories = int(input("Enter maximum calories: ")) # calculate the minimum and maximum calories for the sandwich min_sandwich_calories = 2 * ingredients["Bread"] + min(ingredients.values()) * 2 max_sandwich_calories = 2 * ingredients["Bread"] + max(ingredients.values()) * 2 # check if the calorie range is valid if max_calories < min_sandwich_calories: print("Sorry, it is impossible to create a sandwich within the given calorie range.") else: # create the sandwich sandwich = ["Bread", "Bread"] sandwich_calories = 2 * ingredients["Bread"] while sandwich_calories < min_calories: # add random ingredient ingredient = random.choice(list(ingredients.keys())) sandwich.append(ingredient) sandwich_calories += ingredients[ingredient] while sandwich_calories <= max_calories: # add random ingredient ingredient = random.choice(list(ingredients.keys())) # check if the ingredient is the same as the previous one if len(sandwich) >= 3 and ingredient == sandwich[-2]: continue sandwich.append(ingredient) sandwich_calories += ingredients[ingredient] # check if the sandwich is already at the maximum calorie limit if sandwich_calories == max_sandwich_calories: break # add the last slice of bread sandwich.append("Bread") # print the sandwich and its total calories print("Your sandwich:", sandwich) print("Total calories:", sandwich_calories)

{ "Ham", 150 }, { "Lettuce", 10 }, { "Tomato", 20 }, { "Mayonnaise", 50 }, { "Cheese", 120 } }; // prompt user for calorie range Console.Write("Enter minimum calories: "); int min_calories =...

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详解def Ham_z(N=12,g1=1.0): Ilist = [sigmai]*N Ham_z = np.zeros((2**N,2**N),dtype=np.complex128) for loopi in range(N): Ilist[loopi] = g1*sigmaz Ham_z = kron(Ilist)+Ham_z Ilist = [sigmai] * N return Ham_z

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详解def Ham_z(N=12,g1=1.0): Ilist = [sigmai]N Ham_z = np.zeros((2N,2N),dtype=np.complex128) for loopi in range(N): Ilist[loopi] = g1sigmaz Ham_z = kron(Ilist)+Ham_z Ilist = [sigmai] * N return Ham_z

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前端在json文件里写模板，可以换行有空格现在在文本框的时候