Lakshmi Kalyanam (2007 film)

Lakshmi Kalyanam is a 2007 Indian Telugu-language romantic action film directed by Teja. Nandamuri Kalyan Ram and Kajal Aggarwal played the lead roles. The film was released on 15 February 2007 and was declared an Average at the box office.[1] The film was dubbed into Hindi as Meri Saugandh (2011) and into Tamil as Machakaalai. This film was Kajal's Tollywood debut.

Lakshmi Kalyanam
Movie Poster
Directed byTeja
Produced byAllu Aravind, Naveen Varadarajan (Line Producer)
Starring
Music by
Release date
15 February 2007
CountryIndia
LanguageTelugu

Plot

Two feuding villages form the backdrop of this story, with Ramu (Kalyan Ram) and Lakshmi (Kajal Aggarwal) belonging to one village and villain Giridhar (Ajay) to another. Lakshmi and Ramu are cousins, who grow up to love each other, which is not appreciated by Lakshmi's father, who is also the village head.

Meanwhile, Giridhar's evil eye falls upon Lakshmi when he chances upon her in college. He writes on her back in blood that he would marry her. This enrages Ramu who confronts Giridhar only to be taunted to prove his love towards Lakshmi by opening the doors of the temple, which is the bone of contention between the two villages.

Cast

Music
Lakshmi Kalyanam
Soundtrack album to Lakshmi Kalyanam by
R. P. Patnaik
Released26 January 2007
Recorded2007
GenreFeature film soundtrack
Length30:07
LanguageTelugu
LabelMadhura Entertainment
ProducerR. P. Patnaik

Audio of Lakshmi Kalyanam was released on 26 January 2007 at Big 92.7 FM radio station in Hyderabad. Big FM station director Ashwin launched the audio and gave the first unit to music director RP Patnaik. This function was also graced by Swapna (programming director of BIG FM), Jeethi (producer), Nihal, Pranathi and Malavika. Madhura Entertainment bought the audio rights.[2]

Track listing
No.TitleLyricsArtist(s)Length
1."Avva Avva"Chinni CharanKarthik, Malavika04:39
2."Bava Bava"Ramajogayya SastryShankar Mahadevan, Sujatha Mohan04:38
3."Aligava"Ramajogayya SastryNihal, Pranavi04:06
4."Chinni Chintakaya"Ramajogayya SastryMaster Rohith04:24
5."Gunde Gontulo"Ramajogayya SastryK.K.04:38
6."Labjanaka"Ramajogayya SastryR. P. Patnaik, Ravi Varma, Raghu Babu, Harsha, Kondavalasa, Duvvasi, Geetha Madhuri04:58
7."Rathi Gunde"Ramajogayya SastryVandemataram Srinivas02:44
Total length:30:07
gollark: https://aphyr.com/posts/342-typing-the-technical-interview
gollark: If this worked as expected, in theory you could do```pythonraise quibble("abcd")```but alas, no.
gollark: But which runs much faster.
gollark: ```pythonfrom requests_futures.sessions import FuturesSessionimport concurrent.futures as futuresimport randomtry: import cPickle as pickleexcept ImportError: import pickletry: words_to_synonyms = pickle.load(open(".wtscache")) synonyms_to_words = pickle.load(open(".stwcache"))except: words_to_synonyms = {} synonyms_to_words = {}def add_to_key(d, k, v): d[k] = d.get(k, set()).union(set(v))def add_synonyms(syns, word): for syn in syns: add_to_key(synonyms_to_words, syn, [word]) add_to_key(words_to_synonyms, word, syns)def concat(list_of_lists): return sum(list_of_lists, [])def add_words(words): s = FuturesSession(max_workers=100) future_to_word = {s.get("https://api.datamuse.com/words", params={"ml": word}): word for word in words} future_to_word.update({s.get("https://api.datamuse.com/words", params={"ml": word, "v": "enwiki"}): word for word in words}) for future in futures.as_completed(future_to_word): word = future_to_word[future] try: data = future.result().json() except Exception as exc: print(f"{exc} fetching {word}") else: add_synonyms([w["word"] for w in data], word)def getattr_hook(obj, key): results = list(synonyms_to_words.get(key, set()).union(words_to_synonyms.get(key, set()))) if len(results) > 0: return obj.__getattribute__(random.choice(results)) else: raise AttributeError(f"Attribute {key} not found.")def wrap(obj): add_words(dir(obj)) obj.__getattr__ = lambda key: getattr_hook(obj, key)wrap(__builtins__)print(words_to_synonyms["Exception"])```New version which tends to reduce weirder output.
gollark: https://github.com/joelgrus/fizz-buzz-tensorflow/blob/master/Fizz%20Buzz%20in%20Tensorflow.ipynb

References
  1. "Lakshmi Kalyanam completes 50 days". indiaglitz.com. Retrieved 18 August 2015.
  2. "Lakshmi Kalyanam audio launch - Telugu cinema function - Kalyan Ram & Kajol". idlebrain.com. Retrieved 18 August 2015.

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