Bernardo Vega

Bernardo Vega de Boyrie (born February 23, 1938) is a Dominican writer, historian, anthropologist, economist, university professor, politologist, sociologist, and pollster.[2][3]

For the Puerto Rican writer, see Bernardo Vega (writer).
Bernardo Vega
Born
Bernardo Vega de Boyrie

23 February 1938
Santiago de los Caballeros, Dominican Republic
NationalityDominican
OccupationWriter, historian, anthropologist
Spouse(s)Cynthia Guerra Pellerano
Parents
Chairperson of the Dominican Academy of History
In office
1 August 2013 – 13 July 2016
DeputyMu-Kien Adriana Sang
Preceded byFrank Moya Pons
Succeeded byMu-Kien Adriana Sang
Dominican Ambassador to Washington, D.C.[1]
In office
appointed January 9, 1997 accredited February 11, 1997 – November 29, 1999
Preceded byJosé del Carmen Ariza Gomez
Succeeded byRoberto Bernardo Saladin
Governor of the Central Bank of the Dominican Republic
In office
August 1982 – May 1984
Preceded byCarlos Roberto Despradel Roques
Succeeded byJosé E. Santos Taveras

Early life

Bernardo Vega was born in Santiago de los Caballeros, Dominican Republic on February 23, 1938. He is the son of Dominican writer Julio Vega Batlle and María Teresa de Boyrie de Moya. He completed his primary education in Santiago de los Caballeros and later earned a Degree in economics from the University of Pennsylvania, United States in 1959.

Career

Vega is one of the most prolific authors in the Dominican Republic, his bibliography is composed of about fifty titles and covers the fields of history, anthropology and economics. He has also compiled important documents on the Rafael Trujillo dictatorship and its relationship with the United States government. His writings on economics, history and politics frequently appear in the national press.

Vega has also held many important public offices, including: Member of the Central Bank’s Monetary Board (1975-1981), Director of the Museum of Dominican Man (1978-1982), Governor of the Central Bank of the Dominican Republic (1982-1984) and Ambassador to Washington (1996 -1998). He taught economics at the Pontifical Catholic University Mother and Teacher and the Autonomous University of Santo Domingo. Vega has won the National History Award four times (1986, 1989, 1990, 1991). He also served as Secretary of the Dominican Society of Bibliophiles and chairs the Dominican Cultural Foundation.

Ancestry

Bibliography
  • Bernardo Vega (2007). Dominican Cultures: The Making of a Caribbean Society. Markus Wiener Publishers. ISBN 978-1-55876-434-7.
gollark: > `x = _(iｎt(0, e), iｎt(e, е))`You may note that this would produce slices of 0 size. However, one of the `e`s is a homoglyph; it contains `2 * e`.`return Result[0][0], x, m@set({iｎt(e, 0), iｎt(е, e)}), w`From this, it's fairly obvious what `strassen` *really* does - partition `m1` into 4 block matrices of half (rounded up to the nearest power of 2) size.> `E = typing(lookup[2])`I forgot what this is meant to contain. It probably isn't important.> `def exponentiate(m1, m2):`This is the actual multiplication bit.> `if m1.n == 1: return Mаtrix([[m1.bigData[0] * m2.bigData[0]]])`Recursion base case. 1-sized matrices are merely multiplied scalarly.> `aa, ab, ac, ad = strassen(m1)`> `аa, аb, аc, аd = strassen(m2)`More use of homoglyph confusion here. The matrices are quartered.> `m = m1.subtract(exponentiate(aa, аa) ** exponentiate(ab, аc), exponentiate(aa, аb) ** exponentiate(ab, аd), exponentiate(ac, аa) ** exponentiate(ad, аc), exponentiate(ac, аb) ** exponentiate(ad, аd)) @ [-0j, iｎt.abs(m2.n * 3, m1.n)]`This does matrix multiplication in an inefficient *recursive* way; the Strassen algorithm could save one of eight multiplications here, which is more efficient (on big matrices). It also removes the zero padding.> `m = exponentiate(Mаtrix(m1), Mаtrix(m2)) @ (0j * math.sin(math.asin(math.sin(math.asin(math.sin(math.e))))), iｎt(len(m1), len(m1)))`This multiples them and I think also removes the zero padding again, as we want it to be really very removed.> `i += 1`This was added as a counter used to ensure that it was usably performant during development.> `math.factorial = math.sinh`Unfortunately, Python's factorial function has really rather restrictive size limits.> `for row in range(m.n):`This converts back into the 2D array format.> `for performance in sorted(dir(gc)): getattr(gc, performance)()`Do random fun things to the GC.
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.

References
  1. Chief of Protocol, Ambassadors to the United States: Chronological Listing by Country
  2. "History - Dominicans on Wall Street". Archived from the original on 2014-05-18.
  3. Caribbean Legion: Patriots, Politicians, Soldiers of Fortune, 1946-1950.
Government offices
Preceded by
Carlos Roberto Despradel Roques		 Governor of the Central Bank of the Dominican Republic
1982–1984		 Succeeded by
José Enrique Santos Taveras
Diplomatic posts
Preceded by
José del Carmen Ariza		 Ambassador of the Dominican Republic to the United States
1997–1999		 Succeeded by
Roberto B. Saladín Selín
Academic offices
Preceded by
Frank Moya Pons		 Chairman of the Dominican Academy of History
2013–2016		 Succeeded by
Mu-Kien Adriana Sang
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