| Platform | Free? | Tip | |----------|-------|-----| | arXiv (papers [2] & [4]) | ✅ | Use the “Download PDF” button; the source code for the experiments is in the associated GitHub repo (links are in the paper’s abstract). | | JOSS (paper [3]) | ✅ | JOSS publishes the full manuscript under a CC‑BY‑4.0 license; you can also clone the repository from https://github.com/JuliaNearestNeighbors/NearestNeighbors.jl. | | IEEE Xplore (papers [1] & [5]) | ❌ (paywall) | Many universities provide institutional access; otherwise you can request a free copy via [ResearchGate] or the authors’ personal pages. | | GitHub Benchmarks (supplement to [5]) | ✅ | https://github.com/julia‑ann‑bench – contains the exact scripts used for the 10 M‑point benchmark. |
We all love a good story, but we also have a responsibility to:
An ordinary resident can suddenly become the focus of unwanted attention, privacy invasions, and even harassment.
Neighbourhoods that were once quiet can become a hotbed of suspicion, with residents questioning each other's motives and watching each other’s doors a little more closely. julia ann neighbor affair
If a legitimate journalist were to report on an actual "Julia Ann neighbor affair," a well-researched article would follow this structure:
Title: The Julia Ann Neighbor Affair: Unpacking the Claims and Facts
Introduction: Briefly state what is alleged (e.g., “Julia Ann, a 45-year-old accountant from Ohio, has been at the center of a neighborhood controversy following claims of an inappropriate relationship with a married neighbor, Michael T., 50.”). Note that all parties deny or have not commented as of publication. | Platform | Free
Background: Who is Julia Ann? Provide verified biographical details—her job, family status, length of time in the neighborhood. Avoid irrelevant personal history.
The Allegation: Describe the rumors neutrally. Example: “Neighbors told [local paper] that they observed Julia Ann and the neighbor spending late evenings together on her porch over several weeks in June. No photographic or video evidence has emerged.”
The Neighbor’s Side: If the named neighbor and his spouse have spoken, quote them. If not, state that they declined to comment or could not be reached. We all love a good story, but we
Legal or Social Fallout: Has anyone filed a restraining order, divorce papers, or a defamation lawsuit? Have HOA rules been invoked? Stick to public records.
Conclusion: Summarize what is known versus what remains rumor. End with a note about respecting privacy pending further confirmation.
| Item | Status | |------|--------| | Residence of Julia Ann | Confirmed: She lives in the Maple Ridge complex. | | Identity of the “neighbor” | Unconfirmed: No reputable outlet has verified the person’s name or marital status. | | Existence of a romantic relationship | Unverified: No direct statement from either party, nor any legal documents (e.g., divorce filings) supporting the claim. | | Legal action | None reported as of the date of this write‑up. |
using Pkg
Pkg.add(["NearestNeighbors", "JuliaANN", "FAISS"])
# 1️⃣ KD‑tree (exact) -------------------------------------------------
using NearestNeighbors
data = rand(Float32, 128, 1_000_000) # 128‑dim, 1 M points
kdtree = KDTree(data; leafsize=10)
idx, dist = knn(kdtree, rand(Float32, 128), 10) # 10‑NN query
# 2️⃣ HNSW (approx.) -------------------------------------------------
using JuliaANN # wrapper around the original HNSW C++ code
hnsw = HNSWIndex(data; M=16, efConstruction=200)
build!(hnsw) # builds the graph
idx, dist = search_knn(hnsw, rand(Float32, 128), 10; efSearch=64)
# 3️⃣ FAISS (GPU‑accelerated) ----------------------------------------
using FAISS
index = IndexFlatL2(128) # exact brute‑force (GPU if available)
add!(index, data')
D, I = search(index, rand(Float32, 128)', 10) # D = distances, I = indices
All three snippets are taken directly from the code‑examples in the papers listed above (see [3], [4], [5] for the full benchmarking methodology).