Created
July 22, 2024 08:28
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Get embeddings and calculation similarity
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| from openai import OpenAI | |
| from sklearn.metrics.pairwise import cosine_similarity | |
| import numpy as np | |
| client = OpenAI() | |
| def cal_embedding(text, model="text-embedding-ada-002"): | |
| text = text.replace("\n", " ") | |
| embedding = client.embeddings.create(input = [text], model=model).data[0].embedding | |
| return np.reshape(embedding, (1, -1)) | |
| def similarity(ta, tb): | |
| return cosine_similarity(cal_embedding(ta), cal_embedding(tb))[0][0] | |
| i1 = "def sum(a, b): return a-b" | |
| i2 = "def my_sum(a, b): return a+b" | |
| i3 = "def minus(a, b): return a-b" | |
| a = similarity(i1, i2) | |
| b = similarity(i1, i3) | |
| c = similarity(i3, i2) | |
| print(a) | |
| print('>', b) | |
| print(c) | |
| if max(a, b, c) == b: | |
| print('correct') | |
| else: | |
| print('incorrect') | |
| i1 = ''' | |
| function add1(uint a, uint b) public pure returns(uint){ | |
| return a + b; | |
| } | |
| ''' | |
| i2 = ''' | |
| function add2(uint a, uint b) public pure returns(uint){ | |
| return a - b; | |
| } | |
| ''' | |
| i3 = ''' | |
| function three(uint a, uint b) public pure returns(uint){ | |
| return a + b; | |
| } | |
| ''' | |
| print('*' * 80) | |
| a = similarity(i1, i2) | |
| b = similarity(i1, i3) | |
| c = similarity(i3, i2) | |
| print(a) | |
| print('>', b) | |
| print(c) | |
| if max(a, b, c) == b: | |
| print('correct') | |
| else: | |
| print('incorrect') |
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