chrisk314 / pystreamline Goto Github PK

Enable integration of streamline for chosen vector variable through the dataset

• Allows arbitrary location of seed point for streamline
• Allows arbitrary collection of named datasets to be chosen for streamline calculation
• Streamline integration terminates in the following cases with a flag stored to indicate the reason:
  1. reached dataset limits
  2. reached termination speed threshold
  3. reached maximum integration time

Enable addition of variables to StreamlineIntegrator which can be chosen for calculating the path of the streamline. All variables added to the integrator will be interpolated at each point along the streamline.

• Enable addition of scalar variables to StreamlineIntegrator
• Enable setting of 3 scalar variables to use as x, y, z components in streamline integration
• Enable querying of variable metadata from Python layer

Enable weighted interpolation of any variables stored in the integrator at arbitrary points within the domain covered by the point data set.

• Arbitrary point and named dataset can be specified with interpolated value returned

Segfault occurs when running pytest. This may be due to sharing arrays between numpy and c++ class.

python -m pytest

The below is included in the stacktrace:

*** Error in `python': malloc(): smallbin double linked list corrupted: 0x00000000027d2a90 ***

• Try to reproduce the issue outside of pytest
• Identify source of memory issue and fix

Implement the Streamline object which will store the coordinates of the points along the streamline and the interpolated values of all variable fields added to the StreamlineIntegrator

• stores ordered list of coordinates along streamline
• stores ordered list of integrated values for all variables in StreamlineIntegrator
• stores integration time variable
• stores reason for termination
• provides method to determine if the streamline is still "alive" during integration