fix:两个数组的交集

00-chartgpt/chainlit/nohup.out

+2023-06-25 11:27:36 - WARNING! engine is not default parameter.
+                    engine was transferred to model_kwargs.
+                    Please confirm that engine is what you intended.
+2023-06-25 11:27:36 - Your app is available at http://localhost:8000

00-chartgpt/chainlit/test_01.py

@@ -2,11 +2,10 @@ import os
 from langchain import PromptTemplate, OpenAI, LLMChain
 import chainlit as cl
 
-# os.environ["OPENAI_API_KEY"] = "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"
-os.environ["OPENAI_API_KEY"] = "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"
-
+os.environ["http_proxy"] = "http://localhost:7890"
+os.environ["https_proxy"] = "http://localhost:7890"
+os.environ["OPENAI_API_KEY"] = "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"
 template = """Question: {question}
-
 Answer: Let's think step by step."""
 
 
@@ -14,5 +13,4 @@ Answer: Let's think step by step."""
 def factory():
     prompt = PromptTemplate(template=template, input_variables=["question"])
     llm_chain = LLMChain(prompt=prompt, llm=OpenAI(temperature=0), verbose=True)
-
     return llm_chain

00-chartgpt/chainlit/test_app.py

 import openai
 import chainlit as cl
 
-openai.api_key = "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"
+openai.proxy = 'http://127.0.0.1:7890'
+# 道英
+# openai.api_key = "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"
+
+# 我的key
+openai.api_key = "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"
 # model_name = "text-davinci-003"
 model_name = "gpt-3.5-turbo"
 settings = {
@@ -25,14 +30,11 @@ def start_chat():
 async def main(message: str):
     message_history = cl.user_session.get("message_history")
     message_history.append({"role": "user", "content": message})
-
     msg = cl.Message(content="")
-
     async for stream_resp in await openai.ChatCompletion.acreate(
             model=model_name, messages=message_history, stream=True, **settings
     ):
         token = stream_resp.choices[0]["delta"].get("content", "")
         await msg.stream_token(token)
-
     message_history.append({"role": "assistant", "content": msg.content})
     await msg.send()

00-chartgpt/chainlit/test_app_01.py

 import openai
 import chainlit as cl
 
+openai.proxy = 'http://127.0.0.1:7890'
+
 openai.api_key = "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"
 model_name = "text-davinci-003"
 settings = {
@@ -11,6 +13,7 @@ settings = {
     "presence_penalty": 0,
     "stop": ["```"],
 }
+
 prompt = """Answer the following question:
 {question}
 """

14_刷题/day03/problem_solving_19_01.py

+"""
+两个数组的交集
+给定两个数组 nums1 和 nums2 ，返回 它们的交集 。输出结果中的每个元素一定是 唯一 的。我们可以 不考虑输出结果的顺序 。
+"""
+from typing import List
+
+
+class Solution:
+    def intersection(self, nums1: List[int], nums2: List[int]) -> List[int]:
+        return list(set(nums1).intersection(nums2))
+
+
+if __name__ == '__main__':
+    result = Solution().intersection([1, 2, 2, 1], [2, 2])
+    print(result)

14_刷题/day03/problem_solving_19_02.py

+"""
+两个数组的交集
+给定两个数组 nums1 和 nums2 ，返回 它们的交集 。输出结果中的每个元素一定是 唯一 的。我们可以 不考虑输出结果的顺序 。
+"""
+from typing import List
+
+
+class Solution:
+    def intersection(self, nums1: List[int], nums2: List[int]) -> List[int]:
+        list1 = set(nums1)
+        list2 = set(nums2)
+        return list(list1 & list2)
+
+
+if __name__ == '__main__':
+    result = Solution().intersection([1, 2, 2, 1], [2, 2])
+    print(result)

14_刷题/day03/problem_solving_19_03.py

+"""
+两个数组的交集
+给定两个数组 nums1 和 nums2 ，返回 它们的交集 。输出结果中的每个元素一定是 唯一 的。我们可以 不考虑输出结果的顺序 。
+"""
+from typing import List
+
+
+class Solution:
+    def intersection(self, nums1: List[int], nums2: List[int]) -> List[int]:
+        result = []
+        for i in nums1:
+            if i in nums2 and i not in result:
+                result.append(i)
+        return result
+
+
+if __name__ == '__main__':
+    result = Solution().intersection([1, 2, 2, 1], [2, 2])
+    print(result)