Code Library | Explore Python and Multi-Language Function Collections

Flair, TextClassifier, Sentence

This function uses a pre-trained sentiment classifier from the Flair library to classify the sentiment of the input text and returns the sentiment label (e.g., positive, negative).

2024-12-16 12:15:40 Text classification 29 views

Fairseq, PyTorch, FairseqDataset, FairseqModel

This function uses Fairseq library's models and datasets for random translation. It first randomly selects a model and corpus, then loads the model and dataset, and finally translates the input sentence.

2024-12-16 12:15:39 The type of code 31 views

pandas

This function randomly selects a row from a given pandas DataFrame based on a specified column name.

2024-12-16 12:15:39 Function 10 views

Fairseq, Dictionary

This function uses Fairseq's Dictionary class to generate a dictionary containing 1000 random words. Each word is unique, formatted as 'word_' followed by its index.

2024-12-16 12:15:39 Fairseq Dictionary Generation 20 views

Marshmallow

This code defines a Marshmallow Schema with a single field of a randomly chosen type. It then attempts to validate the data with the schema, and if the data does not conform to the schema definition, a validation error is raised.

2024-12-16 12:15:39 The type of code 16 views

Panda3D

This function creates a randomly colored cube and adds it to the Panda3D scene. It uses the Panda3D geometry and node system to build the cube and sets the color of the cube.

2024-12-16 12:15:38 Panda3D Application 11 views

OpenCV, NumPy

This function uses the HoughCircles function from the OpenCV library to detect circles in an image. First, the image is converted to grayscale, and GaussianBlur is applied to reduce noise. Then, Hough transform is used to detect circles, and the detected circles are drawn on the original image.

2024-12-16 12:15:38 Image processing 11 views

XGBoost, NumPy, Pandas

This function uses the XGBoost library to train a classification model and evaluates its accuracy on a test set.

2024-12-16 12:15:38 Python Function 18 views

Scrapy, Selector, HtmlResponse, CrawlerProcess

This function uses the Scrapy library to create a simple crawler, parse a simulated HTML response, and extract text from it. It also starts a CrawlerProcess to run a custom crawler.

2024-12-16 12:15:38 Scrapy custom function 26 views

The packages and technologies used in this code include Altair, Pandas, and JSON.

This function generates random charts using the Altair library. It includes various types of charts such as bar charts, line charts, scatter plots, and text charts. The function accepts a Pandas DataFrame as input, randomly selects a chart type, and returns a JSON-formatted chart.

2024-12-16 12:15:37 The type of code 12 views

Code

This function uses a pre-trained sentiment classifier from the Flair library to classify the sentiment of the input text and returns the sentiment label (e.g., positive, negative).

This function uses Fairseq library's models and datasets for random translation. It first randomly selects a model and corpus, then loads the model and dataset, and finally translates the input sentence.

This function randomly selects a row from a given pandas DataFrame based on a specified column name.

This function uses Fairseq's Dictionary class to generate a dictionary containing 1000 random words. Each word is unique, formatted as 'word_' followed by its index.

This code defines a Marshmallow Schema with a single field of a randomly chosen type. It then attempts to validate the data with the schema, and if the data does not conform to the schema definition, a validation error is raised.

This function creates a randomly colored cube and adds it to the Panda3D scene. It uses the Panda3D geometry and node system to build the cube and sets the color of the cube.

This function uses the HoughCircles function from the OpenCV library to detect circles in an image. First, the image is converted to grayscale, and GaussianBlur is applied to reduce noise. Then, Hough transform is used to detect circles, and the detected circles are drawn on the original image.

This function uses the XGBoost library to train a classification model and evaluates its accuracy on a test set.

This function uses the Scrapy library to create a simple crawler, parse a simulated HTML response, and extract text from it. It also starts a CrawlerProcess to run a custom crawler.

This function generates random charts using the Altair library. It includes various types of charts such as bar charts, line charts, scatter plots, and text charts. The function accepts a Pandas DataFrame as input, randomly selects a chart type, and returns a JSON-formatted chart.

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1 . The function takes multiple iterable objects as input and returns an iterator that produces tuples, each containing the next value from each input iterable. If an iterable is exhausted first, the value at that position is filled with the specified `fillvalue`.

2 . This function takes a list as input and then uses the sample method from the random module to shuffle the order of the elements in the list and return it.

3 . This function merges two lists and sorts them using the sorted function

4 . This function calculates the square root of the input number.

5 . This function takes a string argument and returns a dictionary containing the count of each English letter (case insensitive) in the string.

6 . This function takes a list of strings as input and returns all unique palindromes in the list.

7 . This function uses the BeautifulSoup library to extract all links from the given HTML content. It can specify the tag to search for and the attributes to filter the links.

8 . This function combines multiple iterable objects into a tuple. If one of the iterable objects is longer than the others, it fills the remaining positions with `fillvalue`.

9 . The function is used to merge multiple iterable objects into one iterator. If the iterables are of uneven length, the specified value is used to fill in the shorter iterables.

10 . This function first generates a random string of a specified length, then retrieves the current time and current directory, converts the string to JSON format, calculates its MD5 hash, checks if it contains a digit, and finally calculates the length of the string and prints all results.