Unigram | Telegram for Windows

by UnigramDev C# Version: v9.6.4 License: GPL-3.0

X-Ray Key Features Code Snippets(2)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | Unigram Summary

Unigram is a C# library typically used in Telecommunications, Media, Media, Entertainment applications. Unigram has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has medium support. You can download it from GitHub.

The Telegram client optimised for the Windows 10 platform. Download · Insiders Group. Thanks to the Universal Windows Platform, Unigram can run on any Windows 10 device (PC, Xbox One, Holo Lens and Surface Hub), integrated with almost all the new Windows features, it provides a seamless and consistent user experience.

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Quality

Security

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Reuse

Support

Unigram has a medium active ecosystem.

It has 2876 star(s) with 380 fork(s). There are 126 watchers for this library.

It had no major release in the last 12 months.

There are 196 open issues and 2585 have been closed. On average issues are closed in 558 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Unigram is v9.6.4

Quality

Unigram has 0 bugs and 0 code smells.

Security

Unigram has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Unigram code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Unigram is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

Unigram releases are available to install and integrate.

Installation instructions are available. Examples and code snippets are not available.

Unigram saves you 425 person hours of effort in developing the same functionality from scratch.

It has 1115 lines of code, 0 functions and 681 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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Unigram Key Features

No Key Features are available at this moment for Unigram.

Unigram Examples and Code Snippets

Generate a fixed - unigram candidate .

python

Lines of Code : 89

License : Non-SPDX (Apache License 2.0)

Copy

def fixed_unigram_candidate_sampler(true_classes,
                                    num_true,
                                    num_sampled,
                                    unique,
                                    range_max,

Generate a random unigram candidate .

python

Lines of Code : 57

License : Non-SPDX (Apache License 2.0)

Copy

def learned_unigram_candidate_sampler(true_classes, num_true, num_sampled,
                                      unique, range_max, seed=None, name=None):
  """Samples a set of classes from a distribution learned during training.

  This operation ra

Community Discussions

Trending Discussions on Unigram

Python: Find vocabulary of a bigram

Create new boolean fields based on specific bigrams appearing in a tokenized pandas dataframe

how to suppress the memory explosion when importing C funcs into python code using ctypes?

How can I use custom tokenizer in opennmt transformer

how to tackle the python set object operations in C?

Is it possible to create a Bag of Words but word char or substrings?

unigrams in SQL

R Looking for faster alternative for sapply()

How to create a function that scores ngrams before unigrams in Python?

How to vectorize a numpy for loop that has a multiple indexed access

QUESTION

Python: Find vocabulary of a bigram

Asked 2022-Feb-25 at 22:02

I have a list of tweets (tokenized and preprocessed). It's like this:

...

ANSWER

Answered 2022-Feb-25 at 21:51

For single words you would need only set() (without defaultdict)

Source https://stackoverflow.com/questions/71271232

QUESTION

Create new boolean fields based on specific bigrams appearing in a tokenized pandas dataframe

Asked 2022-Feb-16 at 20:47

Looping over a list of bigrams to search for, I need to create a boolean field for each bigram according to whether or not it is present in a tokenized pandas series. And I'd appreciate an upvote if you think this is a good question!

List of bigrams:

...

ANSWER

Answered 2022-Feb-16 at 20:28

You could use a regex and extractall:

Source https://stackoverflow.com/questions/71147799

QUESTION

how to suppress the memory explosion when importing C funcs into python code using ctypes?

Asked 2022-Feb-14 at 12:31

I wrote a python code embedded with C code by using ctypes.
the C code is being called multiple times in a for loop.
the C code is as follows:
test.h

...

ANSWER

Answered 2022-Feb-14 at 12:31

The code in your example doesn't leak:

Source https://stackoverflow.com/questions/71109449

QUESTION

How can I use custom tokenizer in opennmt transformer

Asked 2022-Feb-11 at 09:07

I'm tring to transformer for translation with opennmt-py.
And I already have the tokenizer trained by sentencepiece(unigram).
But I don't know how to use my custom tokenizer in training config yaml.
I'm refering the site of opennmt-docs (https://opennmt.net/OpenNMT-py/examples/Translation.html).
Here are my code and the error .

...

ANSWER

Answered 2022-Feb-11 at 09:07

I got the answers.

we can use tools/spm_to_vocab in onmt.
train_from argument is the one.

Source https://stackoverflow.com/questions/71062002

QUESTION

how to tackle the python set object operations in C?

Asked 2022-Feb-10 at 14:34

I want to introduce C code in Python and the C code has the following statements:

test.h

...

ANSWER

Answered 2022-Feb-10 at 14:34

The hash match is a red herring. The problem is not using PyDLL so the GIL is held when using the CPython APIs.

test.c

Source https://stackoverflow.com/questions/71062034

QUESTION

Is it possible to create a Bag of Words but word char or substrings?

Asked 2022-Feb-07 at 03:15

Is it possible to create a BoW but instead of searching for words I do it for substrings?

I'm working on a python program were I input an array with various names (instead of full sentences) on it and try to apply BoW on it and the problem is that because BoW is for words in sentences the program treats them as sentences.

Example: If I have the word Farahoka, Csanoha, April, Bas, Phrahonee and I'm looking for the substring aho

How could I do this?

Edit: It seems that my question is not that clear, so I'll try to do my best to explain what is the task and what I need to do.

I have a list of various names on an array, and I'm trying to find a way to vectorize the letters or maybe find a way to separate into syllabes.

Example:

In BoW if I have The sky is blue today it will be separated into [The, sky, is, blue, today], in the problem I have I'm trying to do something similar, separate/find substrings for words.

Using the previous example, I want to take the word todayand search for the substring ay

Is it possible to do it without using things like if 'ay' in today or endswith('ay')?

In theory I need to use an unigram model for this in order to learn wights for a predictor but it seems all I can find online is focused on words and not substrings.

...

ANSWER

Answered 2022-Feb-07 at 03:14

You don't have much choice but to loop over the elements.

The exact output you expect is unclear, but you could do one of the following.

Searching for matches:

Source https://stackoverflow.com/questions/71013028

QUESTION

unigrams in SQL

Asked 2022-Jan-24 at 10:52

I have the following table (tbl)

...

ANSWER

Answered 2022-Jan-24 at 10:37

You can split text as needed into string array,unnest it and use distinct option for count for ids in group by:

Source https://stackoverflow.com/questions/70832148

QUESTION

R Looking for faster alternative for sapply()

Asked 2021-Dec-03 at 14:57

I have written a function that counts the number of words (unigrams) in a sentence:

...

ANSWER

Answered 2021-Dec-03 at 12:54

You can utilize multiple CPU cores by replacing lapply with lfuture_apply:

Source https://stackoverflow.com/questions/70213799

QUESTION

How to create a function that scores ngrams before unigrams in Python?

Asked 2021-Oct-14 at 22:41

Let's assume I would like to score text with a dictionary called dictionary:

...

ANSWER

Answered 2021-Oct-14 at 22:41

I would sort the keywords descendingly by length, so it's guarantee that re would match ngrams before one-gram:

Source https://stackoverflow.com/questions/69573775

QUESTION

How to vectorize a numpy for loop that has a multiple indexed access

Asked 2021-Oct-12 at 04:03

unigram is an array shape (N, M, 100)

I would like to remove the for loop and perform all the calculations.

seq is a 1D array of size M, and the size of M maybe up to 10000.

I would like to remove the for loop and vectorize it for easier computation.

...

ANSWER

Answered 2021-Oct-11 at 22:24

you can use x.flatten() to reshape a 3d array to 1d array (x must be a numpy array )

in your case :

Source https://stackoverflow.com/questions/69532970

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Unigram

We release beta versions outside of the Microsoft Store. To install them just download the latest .appxbundle file from this channel. Remember to follow the instructions in the first message.