matrix.study = "prediabetes"
matrix.size = 1000
matrix.local_file = temp_file
# Optional properties
matrix.sop = "the SOP"
# Annotations are 'computed_from' a 16S trimmed sequence set
matrix.links = { "computed_from": [ "9bb18fe313e7fe94bf243da07e0032e4" ] }
matrix.tags = [ "test", "abundance", "ihmp" ]
matrix.add_tag("matrix")
print(matrix.to_json(indent=2))
if matrix.is_valid():
print("Valid!")
success = matrix.save()
if success:
matrix_id = matrix.id
print("Succesfully saved matrix ID: %s" % matrix_id)
matrix2 = AbundanceMatrix.load(matrix_id)
print(matrix2.to_json(indent=2))
deletion_success = matrix.delete()
if deletion_success:
matrix.size = 1000
matrix.local_file = temp_file
matrix.private_files = False
# Optional properties
matrix.sop = "the SOP"
# Annotations are 'computed_from' a 16S trimmed sequence set
matrix.links = {"computed_from": ["9bb18fe313e7fe94bf243da07e0032e4"]}
matrix.tags = ["test", "abundance", "ihmp"]
matrix.add_tag("matrix")
print(matrix.to_json(indent=2))
if matrix.is_valid():
print("Valid!")
success = matrix.save()
if success:
matrix_id = matrix.id
print("Succesfully saved matrix ID: %s" % matrix_id)
matrix2 = AbundanceMatrix.load(matrix_id)
print(matrix2.to_json(indent=2))
deletion_success = matrix.delete()
if deletion_success:
