Mata da Estrela Private Natural Heritage Reserve

Mata da Estrela Private Natural Heritage Reserve (Portuguese: Reserva Particular do Patrimônio Natural Mata da Estrela) is a private natural heritage reserve in the state of Rio Grande do Norte, Brazil.

Mata da Estrela Private Natural Heritage Reserve
Reserva Particular do Patrimônio Natural Mata da Estrela
Mata Estrela Reserve
Nearest cityBaía Formosa, Rio Grande do Norte
Coordinates6°24′25″S 34°59′28″W
Area2,039.93 hectares (5,040.8 acres)
DesignationPrivate natural heritage reserve
Created30 March 2000

Location

The reserve is in the municipality of Baía Formosa in Rio Grande do Norte, and covers 2,039.93 hectares (5,040.8 acres). It is owned by Destilaria Baía Formosa and is part of the 7,897 hectares (19,510 acres) Fazenda Pedrosa in the municipality of Baía Formosa, Rio Grande do Norte.[1] The reserve was created on 30 March 2000 by Marilia Marreco Cerqueira, President of the Brazilian Institute of Environment and Renewable Natural Resources (IBAMA).[2] It takes its name Mata da Estrela (Star Forest) from its shape.[3] The forest is beside the sea on dunes.[4]

Environment

The reserve holds a remnant of Atlantic Forest in an area that was largely deforested to make way for sugar cane plantations. The forest is open to visitors who wish to experience the varied flora and fauna. A local guide will interpret the environment. The reserve holds the Lagoa Araraquara, also called the Coca-Cola Lagoon due to its dark colour.[3] Pau-Brasil (Caesalpinia echinata) is native to the forest. There are Gameleira trees (of the family Moraceae) with a diameter equal to 8 men holding hands. The fauna and flora of the forest are being mapped and described by NGOs and universities authorized by the owner.[4]

Notes
    1. RPPN Mata Estrela – ICMBio.
    2. Marilia Marreco Cerqueira 2000.
    3. Mata Estrela e Lagoa – baiaformosa.com.br.
    4. RPPN – Mata Estrela – Grupo Farias.

    Sources
    • Marilia Marreco Cerqueira (30 March 2000), Portaria No 20, de 30 de Marco de 2000 (PDF) (in Portuguese), retrieved 2016-05-18
    • "Mata Estrela e Lagoa", baiaformosa.com.br (in Portuguese), retrieved 2016-05-18
    • RPPN – Mata Estrela (in Portuguese), Grupo Farias, retrieved 2016-05-18
    • RPPN Mata Estrela (in Portuguese), ICMBio, retrieved 2016-05-18
    gollark: I didn't do any horrible homoglyph hacks with THAT.
    gollark: It uses the function, yes.
    gollark: So, I finished that to highly dubious demand. I'd like to know how #11 and such work.
    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.
    This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.