mantaray py

Mantaray data structure in Python

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Description

With this package you can manipulate and interpret mantaray data via MantarayNode and MantarayFork abstractions.

Installation

• Install using pip

  pip install mantaray_py
  

Usage

Construct Mantaray

from mantaray_py import MantarayNode, MantarayFork, init_manifest_node, gen_32_bytes

node = init_manifest_node()
address1 = gen_32_bytes()
address2 = gen_32_bytes()
address3 = gen_32_bytes()
address4 = gen_32_bytes()
address5 = gen_32_bytes()
address6 = gen_32_bytes()

path1 = "path1/valami/elso".encode()
path2 = "path1/valami/masodik".encode()
path3 = "path1/valami/masodik.ext".encode()
path4 = "path1/valami".encode()
path5 = "path2".encode()
path6 = "path3/haha".encode()

node.add_fork(path1, address1, { "vmi": "elso" })
node.add_fork(path2, address2)
node.add_fork(path3, address3)
node.add_fork(path4, address4, {"vmi": "negy"})
node.add_fork(path5, address5)
node.add_fork(path6, address6, {"vmi": "haha"})
node.remove_path(path3)

print(node)

Mantaray Storage Operations

from mantaray_py import MantarayNode

node = MantarayNode()
"""
here `reference` parameter is a `Reference` type which can be a 32 or 64 of bytes
and `load_function` is a [load_function: (address: bytes): bytes] typed function
that returns the serialised raw data of a MantarayNode of the given reference. See tests/integration/test_int.py file for reference.
"""
node.load(load_function, reference)

# Manipulate `node` object then save it again
# (...)

# save into the storage with a storage handler [save_function: (data: bytes): Reference]
# See tests/integration/test_int.py file for reference.
reference = node.save(save_function)