Richland Mall (Texas)

Richland Mall is a 708,249-square-foot (65,798.5 m2) regional shopping mall in Waco, Texas owned by CBL & Associates Properties located on 77 acres (31 ha). The mall opened in 1980. It has 95 stores with five anchors.[1]

Richland Mall
LocationWaco, Texas, US
Coordinates31.51636°N 97.18863°W / 31.51636; -97.18863
Address6001 West Waco Dr
Opening date1980
OwnerCBL & Associates Properties
No. of stores and services95
No. of anchor tenants6 (4 open, 1 closing, 1 vacant)
Total retail floor area708,249 square feet (65,798.5 m2)
No. of floors1 (2 in main Dillard's)
Parking3884
Websitewww.richlandmall.com

The mall contains two Dillard's stores, one of which was originally H. J. Wilson Co. and later Service Merchandise.[2]

On December 28, 2018, it was announced that Sears would be closing as part of a plan to close 80 stores nationwide. The store closed in March 2019.[3] Dillard's has since renovated the former Sears space and moved one of its store into it. The new store opened in May 2020.[4]

Bealls' parent company announced in September 2019 that it would be converting the Bealls name to Gordmans. However, in May 2020, Gordmans announced that it was filing for Chapter 11 bankruptcy and that it would be closing all locations as the chain is now going out of business.[5]

Anchors
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.

References
  1. "Richland Mall Fact Sheet". CBL Properties. Retrieved December 31, 2010.
  2. Directory of major malls. MJJTM Publications Corp. 1990. p. 621.
  3. Thomas, Lauren (2018-12-28). "Sears is closing 80 more stores in March, faces possible liquidation". CNBC. Retrieved 2018-12-28.
  4. https://www.wacotrib.com/business/malls-musical-chairs-dillards-9-million-store-opening-as-gordmans-gives-up/article_b76e2e16-3caa-57e8-9265-167013dfad07.html
  5. https://www.globenewswire.com/news-release/2020/07/16/2062998/0/en/GOING-OUT-OF-BUSINESS-SALES-ARE-NOW-UNDERWAY-AT-ALL-GORDMANS-STAGE-STORES.html
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