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The file format behind TACO.

Project description

The Tortilla Reader

What is Tortilla?

TODO

Specification

Read the full specification here.

Installation

You can install the Tortilla reader using pip:

pip install pytortilla

Usage

The tortilla reader only support four methods: create, edit, load, and compile.

Create

Create a Tortilla file from a list of local files.

import pytortilla

files = ["path/to/local/A.tif", "path/to/local/B.tif", "path/to/local/C.tif"]

tortilla_file = pytortilla.create(
    files=files,
    output= "path/to/local/demo.tortilla"
)

Load

Load local and remote Tortilla files. For remote files, the server must support the HTTP Range header method.

import pytortilla

# either local or remote you can load a Tortilla file with the same function

## local
tortilla_file = pytortilla.load(
    file="path/to/local/demo.tortilla"
)

## remote
tortilla_file = pytortilla.load(
    file="https://huggingface.co/datasets/tacofoundation/example/resolve/main/soy_una.tortilla"
)

Compile

Create small subsets of the Tortilla file. For instance, if you have a Tortilla file with 1000 items, you can create a new Tortilla file with only the first 100 items.

import pytortilla

# Load a Tortilla file
metadata = pytortilla.load(file="https://huggingface.co/datasets/tacofoundation/example/resolve/main/soy_una.tortilla")


# Create a new Tortilla file
subset = pytortilla.compile(
    dataset=metadata.iloc[40:50],
    output="soy_una_feliz.tortilla"
)

Project details


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