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ljp.py

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+# 1. 输出 "Hello" 每个字符的 ASCII 码
+text = "Hello"
+print([ord(c) for c in text])
+
+# 2. chr() 验证 65 = A
+print(chr(65))
+
+# 3. 向量运算
+A = (3, 4)
+B = (1, 2)
+print("A+B =", (A[0]+B[0], A[1]+B[1]))
+print("2*A =", (2*A[0], 2*A[1]))
+print("A的模长 =", (A[0]**2 + A[1]**2)**0.5)
+
+# 4. 点积与余弦相似度
+import math
+A = [1,2,3]
+B = [4,5,6]
+dot = sum(a*b for a,b in zip(A,B))
+print("点积 =", dot)
+
+normA = math.sqrt(sum(x**2 for x in A))
+normB = math.sqrt(sum(x**2 for x in B))
+cos_sim = dot / (normA * normB)
+print("余弦相似度 =", round(cos_sim, 4))
+
+# 垂直向量余弦相似度
+A2, B2 = [1,0], [0,1]
+dot2 = sum(a*b for a,b in zip(A2,B2))
+normA2 = math.sqrt(sum(x**2 for x in A2))
+normB2 = math.sqrt(sum(x**2 for x in B2))
+cos_sim2 = dot2 / (normA2 * normB2)
+print("垂直向量余弦相似度 =", cos_sim2)
+
+# 5. 词袋模型向量
+vocab = ['java','python','编程','语言']
+doc1 = [0,1,1,1]
+doc2 = [1,0,1,1]
+doc3 = [0,3,0,0]
+print("词表:", vocab)
+print("Doc1:", doc1)
+print("Doc2:", doc2)
+print("Doc3:", doc3)