Darja Donga
Darja Donga (transl. Royal Thief) is a 1985 Telugu-language action thriller film, produced by R. Ramakrishnam Raju under the Sri Vijayalakshmi Arts banner[2] and directed by Manivannan.[3] It stars Suman and Vijayashanti in the lead roles, Sathyaraj as the main antagonist, Rajendra Prasad in a supporting role, with music composed by Ilaiyaraaja.[4] The film was dubbed into Tamil as Marma Manithan.[5]
Darja Donga | |
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![]() Theatrical release poster | |
Directed by | Manivannan |
Produced by | R. Ramakrishnam Raju |
Written by | Sainath Thotapalli (dialogues) |
Screenplay by | Manivannan |
Story by | Sathyaraj |
Starring | Suman Vijayashanti Sathyaraj Rajendra Prasad |
Music by | Ilaiyaraaja |
Cinematography | Sabhapathi |
Edited by | Kotagiri Venkateswara Rao |
Production company | Sri Vijayalakshmi Arts[1] |
Release date |
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Country | India |
Language | Telugu |
Cast
- Suman
- Vijayashanti
- Sathyaraj
- Rajendra Prasad
- Sarath Babu
- Sridhar
- Manohar
- Deepa
- Silk Smitha
- Anuradha
- Varalakshmi
Soundtrack
Darja Donga | ||||
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Film score by | ||||
Released | 1985 | |||
Genre | Soundtrack | |||
Length | 22:07 | |||
Label | ECHO Audio | |||
Producer | Ilaiyaraaja | |||
Ilaiyaraaja chronology | ||||
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Music was composed by Ilaiyaraaja. Lyrics were written by Veturi Sundararama Murthy. Music released on ECHO Audio Company.
S. No. | Song Title | Singers | length |
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1 | "Chali Chali" | SP Balu, S. Janaki | 4:17 |
2 | "Hello Hello Chalaaki Pilla" | SP Balu | 4:37 |
3 | "Manasula Gusa Gusa" | SP Balu, S. Janaki | 4:29 |
4 | "Naalo Chinukulatho" | SP Balu, S. Janaki | 4:22 |
5 | "Thappu Kaadhuraa" | SP Balu, S. Janaki | 4:22 |
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
- "Darja Donga (Overview)". IMDb.
- "Darja Donga (Producer)". Filmiclub.
- "Darja Donga (Direction)". Spicy Onion.
- "Darja Donga (Cast & Crew)". gomolo.com.
- https://www.youtube.com/watch?v=LoIjoYIRX6I
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