# Bug in LinearAlgebra + Plots-PyPlot combo on intel i9-9900?

**URL:** <https://discourse.julialang.org/t/bug-in-linearalgebra-plots-pyplot-combo-on-intel-i9-9900/44097>\
**Category:** General Usage\
**Created:** [August 1, 2020, 6:52pm UTC](https://discourse.julialang.org/t/bug-in-linearalgebra-plots-pyplot-combo-on-intel-i9-9900/44097 "2020-08-01T18:52:28Z")\
**Posts on this page:** 6\
**Page:** 2

<div class="post-metadata">

**Author:** ![stevengj](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/stevengj/32/71_2.png) [@stevengj](https://discourse.julialang.org/u/stevengj)\
**Post date:** [August 3, 2020, 1:07pm UTC](https://discourse.julialang.org/t/bug-in-linearalgebra-plots-pyplot-combo-on-intel-i9-9900/44097/21 "2020-08-03T13:07:20Z")

</div>

Are you running the 32-bit Julia?

I’m struggling to understand how there could be a conflict(?) between Julia’s OpenBLAS and NumPy’s BLAS(?) on a 64-bit machine, since on 64-bit machines all of Julia’s OpenBLAS functions have a `64_` suffix (not used by NumPy’s BLAS) precisely to avoid conflicts.

---

<div class="post-metadata">

**Author:** ![BLI](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/bli/32/37206_2.png) [@BLI](https://discourse.julialang.org/u/BLI)\
**Post date:** [August 3, 2020, 1:48pm UTC](https://discourse.julialang.org/t/bug-in-linearalgebra-plots-pyplot-combo-on-intel-i9-9900/44097/22 "2020-08-03T13:48:45Z")

</div>

I’m running latest Windows 10 64bit, with 64bit Julia. Here is the downloaded file from `julialang.org`:  
 ![image](https://global.discourse-cdn.com/julialang/original/3X/2/6/26342692c43b059c5548a247b1e2d69e3caec72c.png)

One of my students who has better IT background than me, suggested that I add a System Environment variable:  
 ![image](https://global.discourse-cdn.com/julialang/original/3X/3/7/37482a6bc353204d26b87f9d397c42b3f677c293.png)

I don’t know if that helped, though.

---

<div class="post-metadata">

**Author:** ![Chong\_Wang](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/chong_wang/32/20307_2.png) [@Chong\_Wang](https://discourse.julialang.org/u/Chong_Wang)\
**Post date:** [August 5, 2020, 2:31am UTC](https://discourse.julialang.org/t/bug-in-linearalgebra-plots-pyplot-combo-on-intel-i9-9900/44097/23 "2020-08-05T02:31:57Z")

</div>

I am using the miniconda installed by Julia and I have no other python distributions installed.

Miniconda installed by julia should be using MKL on my machine.

---

<div class="post-metadata">

**Author:** ![Chong\_Wang](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/chong_wang/32/20307_2.png) [@Chong\_Wang](https://discourse.julialang.org/u/Chong_Wang)\
**Post date:** [August 9, 2020, 1:15am UTC](https://discourse.julialang.org/t/bug-in-linearalgebra-plots-pyplot-combo-on-intel-i9-9900/44097/24 "2020-08-09T01:15:56Z")

</div>

@BLI Can you test this issue on your machine?

[https://github.com/JuliaLang/julia/issues/36976](https://github.com/JuliaLang/julia/issues/36976)

If you can reproduce the above issue, then maybe PyPlot is not related.

---

<div class="post-metadata">

**Author:** ![Chong\_Wang](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/chong_wang/32/20307_2.png) [@Chong\_Wang](https://discourse.julialang.org/u/Chong_Wang)\
**Post date:** [August 9, 2020, 1:35am UTC](https://discourse.julialang.org/t/bug-in-linearalgebra-plots-pyplot-combo-on-intel-i9-9900/44097/25 "2020-08-09T01:35:03Z")

</div>

@BLI. It turns out that issue in the above post can be reproduced by someone else, so it is not related to PyPlot+LinearAlgebra here.

---

<div class="post-metadata">

**Author:** ![BLI](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/bli/32/37206_2.png) [@BLI](https://discourse.julialang.org/u/BLI)\
**Post date:** [August 9, 2020, 9:49pm UTC](https://discourse.julialang.org/t/bug-in-linearalgebra-plots-pyplot-combo-on-intel-i9-9900/44097/26 "2020-08-09T21:49:16Z")

</div>

Hm…

```julia
julia> x=zeros(ComplexF64,10001);

julia> x'*x
0.0 + 0.0im

```

This is while run on Julia 1.4.2, but on one of my i9-9900 machines which gives the buggy `rank` response.

[Previous page](https://discourse.julialang.org/t/bug-in-linearalgebra-plots-pyplot-combo-on-intel-i9-9900/44097.md?page=1)