Sign of lsi_vector

[dnabanita7]

Linux-4.15.0-43-generic-x86_64-with-debian-buster-sid
Python 3.6.5 |Anaconda, Inc.| (default, Apr 29 2018, 16:14:56)
[GCC 7.2.0]
NumPy 1.15.0
SciPy 1.1.0
gensim 3.4.0
FAST_VERSION 1

The notebook is on Similarity_Queries

The original notebook-log of lsi 2nd dim:
2019-01-22 08:49:18,871 : INFO : topic #1(2.542): 0.623*"graph" + 0.490*"trees" + 0.451*"minors" + 0.274*"survey" + -0.167*"system" + -0.141*"eps" + -0.113*"human" + 0.107*"response" + 0.107*"time" + -0.072*"interface"

My notebook-log of lsi 2nd dim:
2019-01-22 08:50:27,166 : INFO : topic #1(2.542): -0.623*"graph" + -0.490*"trees" + -0.451*"minors" + -0.274*"survey" + 0.167*"system" + 0.141*"eps" + 0.113*"human" + -0.107*"response" + -0.107*"time" + 0.072*"interface"

that is why the vector is affected.
the original notebook-log of lsi vector is:
[(0, -0.4618210045327156), (1, -0.07002766527899992)]

while I get the complete opposite:
[(0, 0.46182100453271535), (1, 0.07002766527900031)]

I understand that because the 2nd dim of lsi_vec is complete opposite of my vec. But,it doesn't affect the cosine similarity sims,how?

[menshikh-iv]

the topic just reverse all signs, that's not an issue: cosine_dist(u, v) == cosine_dist(-u, -v)