Prichard, West Virginia

Prichard is a census-designated place (CDP) in Wayne County, West Virginia, United States. As of the 2010 census, its population was 527.[2] It is located along the Big Sandy River and U.S. Route 52. It is part of the Huntington–Ashland, WV–KY–OH, Metropolitan Statistical Area (MSA), which had a population of 287,702 according to the US Census (2010).

Prichard, West Virginia
Prichard, West Virginia
Coordinates: 38°14′24″N 82°35′55″W
CountryUnited States
StateWest Virginia
CountyWayne
Area
  Total1.263 sq mi (3.27 km2)
  Land1.107 sq mi (2.87 km2)
  Water0.156 sq mi (0.40 km2)
Elevation
587 ft (179 m)
Population
 (2010)[2]
  Total527
  Density420/sq mi (160/km2)
Time zoneUTC-5 (Eastern (EST))
  Summer (DST)UTC-4 (EDT)
ZIP code
25555
Area code(s)304 & 681
GNIS feature ID1555412[3]

The community was named after one James Pritchard.[4]

Education

Prichard Elementary School opened in 1958, replacing a two-room schoolhouse. It is the lone academic facility in Prichard. Once students reach 6th grade, they attend either Buffalo Middle School, Wayne Middle School, or Fort Gay Middle School. Upon reaching 9th grade, Prichard residents attend either Spring Valley High School, Wayne High School or Tolsia High School.

Economy

With only a limited number of employment opportunities within Prichard, the average work commute for residents was 38.7.

In September 1999, Senator Jay Rockefeller announced that Okuno International would open a hydraulic cylinder plant in Prichard, offering 50 new jobs and eventually expanding to 100.[5]

Aplicare, a manufacturer of topical antiseptic and personal care products, operated a 35,000-square-foot (3,300 m2) facility which, according to their website, manufactured “all of our bottled antiseptics, our personal care product line, and several unit dose products including lubricating jelly and antiseptic hand gel. This facility closed in 2018”[6]

In 2003, Allevard opened a coil spring and stabilizer bar plant in Prichard originally employing approximately 90 people. In May 2008, Allevard announced plans to expand employment to approximately 150 people, but in 2009, due to the slumping economy, had to instead reduce its staff to about 40.[7]

In January 2008, construction began on the Heartland Corridor, a train route that leads from the Virginia coast to Columbus, Ohio. The corridor will offer existing lines the ability to carry more cargo by double-stacking boxcars. An intermodal facility is planned for Prichard, to allow for the cars to be easily transferred between rail, highway, waterway, and airway transportation.[8]

In December 2015, Norfolk Southern Railway opened a new intermodal facility in the center of Prichard to boost employment and economics in Prichard and in the rest of Wayne County. NS began construction on the intermodal facility in 2010 and lasted for 5 years. Still not open.

Government

As an unincorporated community, Prichard has no city government. Law enforcement is provided from the county and state levels.

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.
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

References

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