Create a test using python that can run the template matching binary in cisTEM.
Use the README in the project folder at /scripts/testing/programs for general information and to get an idea for what input data and parameters are needed, as well as their location in the development container.
The test should behave similarly to the file test_apofferitin.py using the same data set.
The only important output image is the mip which we want to save to a temporary folder /tmp with a name that is unique and includes a suffix that indicates a replicate number.
The test should run the match_template_gpu binary 3 times producing three replicates.
The test should then read in each of the 3 replicate mip images using the python package mrcfile.
Using numpy, we then want to measure how similar each pixel is for the replicates.
Create a test using python that can run the template matching binary in cisTEM.
Use the README in the project folder at /scripts/testing/programs for general information and to get an idea for what input data and parameters are needed, as well as their location in the development container.
The test should behave similarly to the file test_apofferitin.py using the same data set.
The only important output image is the mip which we want to save to a temporary folder /tmp with a name that is unique and includes a suffix that indicates a replicate number.
The test should run the match_template_gpu binary 3 times producing three replicates.
The test should then read in each of the 3 replicate mip images using the python package mrcfile.
Using numpy, we then want to measure how similar each pixel is for the replicates.