Karen Abrahamyan

Karen Abrahamyan (Armenian: Կարեն_Աբրահամյան; born 4 December 1966) is a politician and general, who is the former Minister of Defence of Artsakh.

Karen Abrahamyan
Minister of Defence of Artsakh
In office
14 December 2018  24 February 2020
PresidentBako Sahakyan
Preceded byLevon Mnatsakanyan
Succeeded byJalal Harutyunyan
Personal details
Born
Karen Andranik Abrahamyan

(1966-12-04) 4 December 1966
Hadrut Province, Azerbaijan SSR, Soviet Union
Children2
Military service
Allegiance Soviet Union
 Armenia
 Artsakh
Branch/service Artsakh Defense Army
RankLieutenant General
Battles/warsNagorno-Karabakh War

Biography

He was born in the village of Khcaberd of the Hadrut Province of the Azerbaijan SSR. It was there where he attended the M. Manvelyan Secondary School, of which he graduated from in 1984. In the 6 years after he graduated, he studied at the Institute of National Economy of Armenia with a major in economics. From 1990 to 1992, Abrahamyan worked in Hadrut's Savings Bank as a crediting instructor, chief accountant and then Savings Bank's manager. In the mid-1990s, he began to become more involved in the activities of the newly formed defense army in the Nagorno-Karabakh Republic. During this time, he had assumed various military positions, such as platoon commander, deputy commander, and a chief of staff a regiment. In 1998, entered the Russian Defense Ministry’s Military University and graduated with honours. Once he returned to Armenia in 2001, he spent the next 15 years rising through ranks while serving in essential military positions in the Armenian Armed Forces. In December 2018, by decree of the President Bako Sahakyan, Abrahamyan, who was the military chief of staff at the time, was appointed as the defense minister and commander of the defense army, just 10 days after his 52nd birthday.[1][2][3][4] He was dismissed in February 2020.[5]

gollark: > `globals()[Row + Row] = random.randint(*sys.version_info[:2])`Never actually got used anywhere.> `ε = sys.float_info.epsilon`Also not used. I just like epsilons.> `def __exit__(self, _, _________, _______):`This is also empty, because cleaning up the `_` global would be silly. It'll be overwritten anyway. This does serve a purpose, however, and not just in making it usable as a context manager. This actually swallows all errors, which is used in some places.> `def __pow__(self, m2):`As ever, this is not actual exponentiation. `for i, (ι, 𐌉) in enumerate(zip(self.bigData, m2.bigData)): e.bigData[i] = ι + 𐌉` is in fact just plain and simple addition of two matrices.> `def subtract(forth, 𝕒, polynomial, c, vector_space):`This just merges 4 submatrices back into one matrix.> `with out as out, out, forth:`Apart from capturing the exceptions, this doesn't really do much either. The `_` provided by the context manager is not used.> `_(0j, int(0, 𝕒.n))`Yes, it's used in this line. However, this doesn't actually have any effect whatsoever on the execution of this. So I ignore it. It was merely a distraction.> `with Mаtrix(ℤ(ℤ(4))):`It is used again to swallow exceptions. After this is just some fluff again.> `def strassen(m, x= 3.1415935258989):`This is an interesting part. Despite being called `strassen`, it does not actually implement the Strassen algorithm, which is a somewhat more efficient way to multiply matrices than the naive way used in - as far as I can tell - every entry.> `e = 2 ** (math.ceil(math.log2(m.n)) - 1)`This gets the next power of two in a fairly obvious way. It is used to pad out the matrix to the next power of 2 size.> `with m:`The context manager is used again for nicer lookups.> `Result[0] += [_(0j, int(e, e))]`Weird pythonoquirkiness again. You can append to lists in tuples with `+=`, but it throws an exception as they're sort of immutable.> `typing(lookup[4])(input())`It's entirely possible that this does things.
gollark: > `def __eq__(self, xy): return self.bigData[math.floor(xy.real * self.n + xy.imag)]`This actually gets indices into the matrix. I named it badly for accursedness. It uses complex number coordinates.> `def __matmul__(self, ǫ):`*This* function gets a 2D "slice" of the matrix between the specified coordinates. > `for (fοr, k), (b, р), (whіle, namedtuple) in itertools.product(I(*int.ℝ(start, end)), enumerate(range(ℤ(start.imag), math.floor(end.imag))), (ǫ, ǫ)):`This is really just bizarre obfuscation for the basic "go through every X/Y in the slice" thing.> `out[b * 1j + fοr] = 0`In case the matrix is too big, just pad it with zeros.> `except ZeroDivisionError:`In case of zero divisions, which cannot actually *happen*, we replace 0 with 1 except this doesn't actually work.> `import hashlib`As ever, we need hashlib.> `memmove(id(0), id(1), 27)`It *particularly* doesn't work because we never imported this name.> `def __setitem__(octonion, self, v):`This sets either slices or single items of the matrix. I would have made it use a cool™️ operator, but this has three parameters, unlike the other ones. It's possible that I could have created a temporary "thing setting handle" or something like that and used two operators, but I didn't.> `octonion[sedenion(malloc, entry, 20290, 15356, 44155, 30815, 37242, 61770, 64291, 20834, 47111, 326, 11094, 37556, 28513, 11322)] = v == int(bool, b)`Set each element in the slice. The sharp-eyed may wonder where `sedenion` comes from.> `"""`> `for testing`> `def __repr__(m):`This was genuinely for testing, although the implementation here was more advanced.> `def __enter__(The_Matrix: 2):`This allows use of `Matrix` objects as context managers.> `globals()[f"""_"""] = lambda h, Ĥ: The_Matrix@(h,Ĥ)`This puts the matrix slicing thing into a convenient function accessible globally (as long as the context manager is running). This is used a bit below.
gollark: * desired
gollark: I can write some code for this if desisred.
gollark: Surely you can just pull a particular tag of the container.

References

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