High-Performance and Thread-Safe C/C++ library for parsing binary output files and key files of LS Dyna (d3plot, binout, input deck) with bindings for python.
You can find a Wiki with API Documentation for python.
from dynareadout import Binout
bin_file = None
try:
# This library also supports opening multiple binout files at once by globing them
bin_file = Binout("path/to/your/binout*")
except RuntimeError as e:
print("Failed to open binout: {}".format(e))
exit(1)
# Print the children of the binout
children = bin_file.read()
for (i, child) in enumerate(children):
print("Child {}: {}".format(i, child))
# Read some data. This method can read variables of all different types
node_ids = bin_file.read("nodout/ids")
for i in range(len(node_ids)):
print("Node ID {}: {}".format(i, node_ids[i]))
# You can also find out if a variable exists
node_ids_exist = bin_file.variable_exists("nodout/ids")
# Get the number of time steps in the binout
nodout_timesteps = bin_file.get_num_timesteps("nodout")
# The time steps can vary inside the binout
rcforc_timesteps = bin_file.get_num_timesteps("rcforc")
# If you want to read "timed" data (x_displacement, x_force, etc.) you can do so also with the read method
x_displacement = bin_file.read("nodout/x_displacement")
for (t, time_step) in enumerate(x_displacement):
for (n, x_disp) in enumerate(time_step):
print("X Displacement time_step={}, node_id={}: {}".format(t, node_ids[n], x_displacement[t][n]))from dynareadout import D3plot
plot_file = None
try:
# Just give it the first d3plot file and it opens all of them
plot_file = D3plot("path/to/your/d3plot")
except RuntimeError as e:
print("Failed to open: {}".format(e))
exit(1)
# Read the title
title = plot_file.read_title()
print("Title: {}".format(title))
# Read node ids
node_ids = plot_file.read_node_ids()
print("Nodes: {}".format(len(node_ids)))
for (i, nid) in enumerate(node_ids):
print("Node {}: {}".format(i, nid))
# Read node coordinates of time step 10
node_coords = plot_file.read_node_coordinates(10)
for i in range(len(node_coords)):
print("Node Coords {}: ({:.2f}, {:.2f}, {:.2f})".format(i, node_coords[i][0], node_coords[i][1], node_coords[i][2]))from dynareadout import key_file_parse
keywords = key_file_parse("path/to/your/input.k")
# Parse all nodes
node_keywords = keywords["NODE"]
# Loop over all *NODE keywords
for i in range(len(node_keywords)):
# Loop over all cards of each *NODE keyword
for j in range(len(node_keywords[i])):
node = node_keywords[i][j]
# Then you can parse the variables of each card as integers and floats
# The list of integers holds all the widths of each variable in the card in characters
nid, x, y, z = node.parse_whole([8, 16, 16, 16])
print(f"NODE {nid:d}: ({x:.3f}; {y:.3f}; {z:.3f})")This library is also available for C and C++ this version can be found here.
python -m pip install dynareadout-
Make sure that the dynareadout submodule has the correct version
-
Update the version in
setup.pyandpyproject.toml. Also check if new source files have been added -
Publish a new release
-
Create source distribution
python setup.py sdist- Upload to
test.pypi.org
python -m twine upload --repository testpypi dist/*Then insert __token__ as username and the token as password.
- Install package from
test.pypi.orgto test it
python -m pip install --upgrade --no-build-isolation --index-url https://test.pypi.org/simple/ dynareadout-
If it works upload it to
pypi.org -
Create windows wheel
python -m build-
Upload windows wheel to
test.pypi.organd test it. -
If it works upload it to
pypi.org
python -m twine upload dist/*
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