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  1. .gitattributes +1 -0
  2. ast.txt +3 -0
  3. embed_arr.npy +3 -0
  4. server_embed.py +123 -0
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ ast.txt filter=lfs diff=lfs merge=lfs -text
ast.txt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:32075dd1929d18fe6cad3e7d9f0ad9346dea43530bcc374210316b03213e6c23
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+ size 99276292
embed_arr.npy ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:6b370e9bfaa79c0bd4f7204ef4a2eb6889404726b0c71244a9aabf1888c648d4
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+ size 2293915776
server_embed.py ADDED
@@ -0,0 +1,123 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ import os
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+ import functools
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+ import numpy as np
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+
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+ import fastapi
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+ import voyageai
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+ vo = voyageai.Client(os.environ['VOYAGE_API_KEY'])
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+
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+ theorems = [
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+ theorem.split('--ast--\n')
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+ for theorem in open('ast.txt').read().split('----ast----\n')[1:]
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+ ]
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+ embed = np.load('embed_arr.npy')
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+
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+ app = fastapi.FastAPI()
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+
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+ top_n = 50
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+
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+ @functools.lru_cache(maxsize=2*1024*1024*1024//(80 + top_n*8))
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+ def lru_search(query):
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+ query_embed = vo.embed([query], model="voyage-large-2-instruct", input_type="query").embeddings[0]
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+ similarities = np.dot(embed, query_embed)
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+
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+ top = np.argpartition(similarities, -top_n)[-top_n:]
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+ top = top[np.argsort(similarities[top])][::-1]
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+ sim = similarities[top]
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+ return top, sim
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+
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+ @app.get("/search")
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+ def search(query: str):
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+ # if query is too long, throw an error
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+ if len(query) > 80:
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+ raise fastapi.HTTPException(status_code=400, detail="Query is too long")
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+ top, sim = lru_search(query)
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+
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+ results = []
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+ for i, similarity in zip(top, sim):
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+ module, name, typ, comment = theorems[i]
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+ results.append({
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+ "module": module,
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+ "name": name,
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+ "type": typ,
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+ "comment": comment,
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+ "similarity": similarity
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+ })
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+ return results
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+
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+ @app.get("/")
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+ def read_root():
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+ # HTML
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+ return fastapi.responses.HTMLResponse(
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+ content="""
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+ <html>
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+ <head>
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+ <title>Search</title>
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+ <!-- tailwind css -->
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+ <script src="https://cdn.jsdelivr.net/npm/marked/marked.min.js"></script>
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+ <link href="https://cdn.jsdelivr.net/npm/tailwindcss@2.2.19/dist/tailwind.min.css" rel="stylesheet">
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+ </head>
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+ <body class="mx-24 my-8 text-lg flex flex-col">
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+ <h1 class="text-3xl">Search Mathlib</h1>
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+ <form onsubmit="search(); return false;" class="flex gap-2 mt-2 mb-3">
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+ <input autofocus type="text" name="query" class="grow border p-2 w-full rounded-lg focus:outline-none border-gray-300 focus:ring-1 focus:ring-gray-100">
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+ <button type="submit" class="bg-green-700 text-white p-2 w-24 rounded-lg">Search</button>
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+ </form>
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+ <ul id="results" class="list-disc">
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+ </ul>
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+ <script>
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+ function removeFirstWord(str) {
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+ return str.split(' ').slice(1).join(' ')
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+ }
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+ // https://leanprover-community.github.io/mathlib4_docs/Mathlib/Tactic.Widget.SelectPanelUtils.html#def%20mkSelectionPanelRPC.match_1
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+
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+ async function search() {
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+ const query = document.querySelector('input[name="query"]').value
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+ const response = await fetch(`/search?query=${query}`)
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+ if (!response.ok) {
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+ alert('Error: ' + (await response.json())['detail'])
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+ return
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+ }
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+ const results = await response.json()
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+
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+ const resultsDiv = document.querySelector('#results')
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+ resultsDiv.innerHTML = ''
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+
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+ for (const result of results) {
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+ const resultDiv = document.createElement('li')
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+ const link = "https://leanprover-community.github.io/mathlib4_docs/" + removeFirstWord(result.module).replaceAll('.', '/') + ".html#" + removeFirstWord(result.name)
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+ resultDiv.innerHTML = `
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+ <div class="flex gap-1">
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+ <a href="${link}"
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+ class="text-xl mr-4 text-green-800 hover:text-green-600
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+ ">${result.name}</a>
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+ <div class="flex-grow"></div>
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+ <p class="text-gray-800">Similarity: ${result.similarity.toFixed(3)}</p>
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+ </div>
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+ <div class="flex flex-col">
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+ <p class="font-mono">: ${result.type}</p>
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+ <p class="text-gray-800 mt-1">${result.module}</p>
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+ <p id="comment"></p>
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+ </div>
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+
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+ <div class="border my-1 border-gray-200"></div>
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+ `
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+ if (result.comment.trim() !== '') {
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+ const comment = resultDiv.querySelector('#comment')
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+ comment.innerHTML = marked.marked(`/-- ${result.comment.trim()} -/`)
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+ comment.classList.add('bg-gray-50', 'text-gray-900', 'px-2', 'py-1', 'mt-0.5', 'rounded-lg')
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+ }
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+ resultsDiv.appendChild(resultDiv)
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+ }
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+ }
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+ </script>
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+ </body>
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+ </html>
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+ """
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+ )
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+
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+ '''
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+ to run this with auto-reload, use the following command:
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+ cd data
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+ uvicorn test_embed:app --reload
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+ '''