From 7a48dc1e36989330775ab02fa053c2f9fb65b2b3 Mon Sep 17 00:00:00 2001
From: 2509165020 <2509165020@student.edu.cn>
Date: Thu, 16 Apr 2026 15:37:34 +0800
Subject: [PATCH] =?UTF-8?q?=E5=AE=8C=E6=88=90=E4=BD=9C=E4=B8=9A?=
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---
 260416+2509165020/test1.py | 19 +++++++++++++++++++
 260416+2509165020/test2.py | 20 ++++++++++++++++++++
 260416+2509165020/test3.py | 11 +++++++++++
 260416+2509165020/test4.py | 18 ++++++++++++++++++
 4 files changed, 68 insertions(+)
 create mode 100644 260416+2509165020/test1.py
 create mode 100644 260416+2509165020/test2.py
 create mode 100644 260416+2509165020/test3.py
 create mode 100644 260416+2509165020/test4.py

diff --git a/260416+2509165020/test1.py b/260416+2509165020/test1.py
new file mode 100644
index 0000000..236ad4f
--- /dev/null
+++ b/260416+2509165020/test1.py
@@ -0,0 +1,19 @@
+import numpy as np
+print(np.__version__)
+import numpy as np
+image = np.array([
+    [100, 150, 200],
+    [80,  120, 180],
+    [60,  90,  140]
+], dtype=np.uint8)
+print("原图：")
+print(image)
+image_dark = image - 20
+print("\n1. 变暗20后：")
+print(image_dark)
+image_crop = image[0:2, 0:2]
+print("\n2. 裁剪左上角后：")
+print(image_crop)
+image_flip = np.fliplr(image)
+print("\n3. 水平翻转后：")
+print(image_flip)
\ No newline at end of file
diff --git a/260416+2509165020/test2.py b/260416+2509165020/test2.py
new file mode 100644
index 0000000..a7c9b12
--- /dev/null
+++ b/260416+2509165020/test2.py
@@ -0,0 +1,20 @@
+import numpy as np
+
+img = np.array([
+    [255, 255, 0, 0],
+    [255, 255, 0, 0],
+    [0, 0, 255, 255],
+    [0, 0, 255, 255]
+], dtype=np.uint8)
+
+white_count = np.sum(img == 255)
+black_count = np.sum(img == 0)
+print(f"1. 白色像素(255)数量：{white_count}，黑色像素(0)数量：{black_count}")
+
+img_flip = np.fliplr(img)
+print("\n2. 水平翻转后：")
+print(img_flip)
+
+img_rot90 = np.flipud(img.T)
+print("\n3. 逆时针旋转90度后：")
+print(img_rot90)
\ No newline at end of file
diff --git a/260416+2509165020/test3.py b/260416+2509165020/test3.py
new file mode 100644
index 0000000..f612b19
--- /dev/null
+++ b/260416+2509165020/test3.py
@@ -0,0 +1,11 @@
+import numpy as np
+feature_map1 = np.array([[1, 0, 1], [0, 1, 0], [1, 0, 1]])
+feature_map2 = np.array([[1, 1, 1], [1, 0, 0], [1, 0, 0]])
+vector1 = feature_map1.flatten()  
+vector2 = feature_map2.flatten()  
+print("vector1:", vector1)
+print("vector2:", vector2)
+euclidean_dist = np.linalg.norm(vector1 - vector2)
+print(f"\n1. 欧几里得距离：{euclidean_dist:.4f}")
+cos_similarity = np.dot(vector1, vector2) / (np.linalg.norm(vector1) * np.linalg.norm(vector2))
+print(f"2. 余弦相似度：{cos_similarity:.4f}")
\ No newline at end of file
diff --git a/260416+2509165020/test4.py b/260416+2509165020/test4.py
new file mode 100644
index 0000000..dc18d2c
--- /dev/null
+++ b/260416+2509165020/test4.py
@@ -0,0 +1,18 @@
+import numpy as np
+corpus = [
+    "我 喜欢 编程",
+    "我 喜欢 学习 Python",
+    "编程 是 有趣 的"
+]
+vocab = sorted(list(set(" ".join(corpus).split())))
+print("词汇表：", vocab)
+
+def text_to_vector(text, vocab):
+    words = text.split()
+    vector = np.zeros(len(vocab), dtype=int)
+    for i, word in enumerate(vocab):
+        vector[i] = words.count(word)
+    return vector
+vectors = np.array([text_to_vector(text, vocab) for text in corpus])
+print("\n文本向量化结果：")
+print(vectors)
\ No newline at end of file