Added function to get block info

.github/azure-pipelines.yaml

@@ -1,19 +1,20 @@
 trigger:
-- master
+  - master
 
 pr:
-- master
+  - master
 
 resources:
   repositories:
-  - repository: azure_template
-    type: github
-    name: mdolab/.github
-    endpoint: mdolab
+    - repository: azure_template
+      type: github
+      name: mdolab/.github
+      endpoint: mdolab
 
 extends:
   template: azure/azure_template.yaml@azure_template
   parameters:
     REPO_NAME: cgnsutilities
     GCC_CONFIG: config/defaults/config.LINUX_GFORTRAN.mk
     INTEL_CONFIG: config/defaults/config.LINUX_INTEL.mk
+    COVERAGE: true

.github/build_real.sh

@@ -2,4 +2,4 @@
 set -e
 cp $CONFIG_FILE config/config.mk
 make
-pip install .
+pip install -e .

.github/test_real.sh

@@ -2,7 +2,7 @@
 set -e
 
 # Run tests
-testflo -v -n 1 .
+testflo -v -n 1 --coverage --coverpkg cgnsutilities
 
 # Check that we can run the command line script
 cd $HOME

.gitignore

@@ -4,6 +4,7 @@
 *.mod
 *.o
 *.so
+*.out
 
 # auto generated files
 src/libcgns_utils-f2pywrappers2.f90

README.md

@@ -1,5 +1,6 @@
 # cgnsUtilities
 [![Build Status](https://dev.azure.com/mdolab/Public/_apis/build/status/mdolab.cgnsutilities?repoName=mdolab%2Fcgnsutilities&branchName=master)](https://dev.azure.com/mdolab/Public/_build/latest?definitionId=30&repoName=mdolab%2Fcgnsutilities&branchName=master)
+[![codecov](https://codecov.io/gh/mdolab/cgnsutilities/branch/master/graph/badge.svg?token=ZCO3MR2LNL)](https://codecov.io/gh/mdolab/cgnsutilities)
 
 This repository contains a single program called `cgns_utils` that
 provides many useful functions for working with cgns grids. 

cgnsutilities/cgnsutilities.py

@@ -65,8 +65,8 @@ def getTotalCellsNodes(self):
         totalCells = 0
         totalNodes = 0
         for blk in self.blocks:
-            totalCells += (blk.dims[0] - 1) * (blk.dims[1] - 1) * (blk.dims[2] - 1)
-            totalNodes += blk.dims[0] * blk.dims[1] * blk.dims[2]
+            totalCells += blk.getNumCells()
+            totalNodes += blk.getNumNodes()
 
         return totalCells, totalNodes
 
@@ -127,26 +127,49 @@ def printInfo(self):
         print("Wall Boundary Cells:", boundaryCells)
         print("Wall Boundary Nodes:", boundaryNodes)
 
-    def printBlockInfo(self):
-        """Print some information on each block to screen.
-        This info can be helpful assessing overset meshes"""
+    def getBlockInfo(self):
+        """Get the number of nodes, number of cells, BCs, and
+        the dimensions for each block. This info can be helpful
+        for assessing overset meshes."""
 
-        totalCells = 0
-        totalNodes = 0
         counter = 1
+        allBlocksInfo = {}
+
         for blk in self.blocks:
-            nCells = (blk.dims[0] - 1) * (blk.dims[1] - 1) * (blk.dims[2] - 1)
-            nNodes = blk.dims[0] * blk.dims[1] * blk.dims[2]
-            print("Block Number:", counter)
-            print("Number of Cells:", nCells)
-            print("Number of Nodes:", nNodes)
-            print("Block dimensions:", list(blk.dims))
-            totalCells += nCells
-            totalNodes += nNodes
+            blockInfo = {}
+            blockInfo["nCells"] = blk.getNumCells()
+            blockInfo["nNodes"] = blk.getNumNodes()
+            blockInfo["dims"] = list(blk.dims)
+            blockInfo["BCs"] = [boco.type for boco in blk.bocos]
+            allBlocksInfo[f"{counter}"] = blockInfo
             counter += 1
-        print("Total Zones:", len(self.blocks))
-        print("Total Cells:", totalCells)
-        print("Total Nodes:", totalNodes)
+
+        totalCells, totalNodes = self.getTotalCellsNodes()
+
+        allBlocksInfo["totalZones"] = len(self.blocks)
+        allBlocksInfo["totalCells"] = totalCells
+        allBlocksInfo["totalNodes"] = totalNodes
+
+        return allBlocksInfo
+
+    def printBlockInfo(self):
+        """Print the number of nodes, number of cells, and
+        the dimensions for each block. This info can be helpful
+        for assessing overset meshes."""
+
+        allBlocksInfo = self.getBlockInfo()
+
+        for i in range(len(self.blocks)):
+            blockNumber = str(i + 1)
+            print("Block Number:", blockNumber)
+            blockInfo = allBlocksInfo[blockNumber]
+            print("Number of Cells:", blockInfo["nCells"])
+            print("Number of Nodes:", blockInfo["nNodes"])
+            print("Block dimensions:", blockInfo["dims"])
+
+        print("Total Zones:", allBlocksInfo["totalZones"])
+        print("Total Cells:", allBlocksInfo["totalCells"])
+        print("Total Nodes:", allBlocksInfo["totalNodes"])
 
     def addBlock(self, blk):
 
@@ -2262,6 +2285,14 @@ def getFaceCoords(self, blockID):
 
         return libcgns_utils.utils.computefacecoords(self.coords, nFace, blockID)
 
+    def getNumCells(self):
+        """Computes and returns the number of cells for this block"""
+        return (self.dims[0] - 1) * (self.dims[1] - 1) * (self.dims[2] - 1)
+
+    def getNumNodes(self):
+        """Computes and returns the number of nodes for this block"""
+        return self.dims[0] * self.dims[1] * self.dims[2]
+
 
 class Boco(object):
 

setup.py

@@ -15,6 +15,7 @@
     packages=["cgnsutilities"],
     package_data={"cgnsutilities": ["*.so"]},
     install_requires=["numpy>=1.16"],
+    extras_require={"testing": ["mdolab-baseclasses>=1.3", "testflo"]},
     classifiers=["Operating System :: Linux", "Programming Language :: Python, Fortran"],
     entry_points={"console_scripts": ["cgns_utils = cgnsutilities.cgns_utils:main"]},
 )

tests/ref/blockInfo.ref

@@ -0,0 +1,184 @@
+{
+    "Block info": {
+        "1": {
+            "BCs": [
+                22,
+                7,
+                16
+            ],
+            "dims": [
+                {
+                    "__ndarray__": 19,
+                    "dtype": "int32",
+                    "shape": []
+                },
+                {
+                    "__ndarray__": 19,
+                    "dtype": "int32",
+                    "shape": []
+                },
+                {
+                    "__ndarray__": 21,
+                    "dtype": "int32",
+                    "shape": []
+                }
+            ],
+            "nCells": {
+                "__ndarray__": 6480,
+                "dtype": "int64",
+                "shape": []
+            },
+            "nNodes": {
+                "__ndarray__": 7581,
+                "dtype": "int32",
+                "shape": []
+            }
+        },
+        "2": {
+            "BCs": [
+                22,
+                7,
+                16
+            ],
+            "dims": [
+                {
+                    "__ndarray__": 3,
+                    "dtype": "int32",
+                    "shape": []
+                },
+                {
+                    "__ndarray__": 19,
+                    "dtype": "int32",
+                    "shape": []
+                },
+                {
+                    "__ndarray__": 21,
+                    "dtype": "int32",
+                    "shape": []
+                }
+            ],
+            "nCells": {
+                "__ndarray__": 720,
+                "dtype": "int64",
+                "shape": []
+            },
+            "nNodes": {
+                "__ndarray__": 1197,
+                "dtype": "int32",
+                "shape": []
+            }
+        },
+        "3": {
+            "BCs": [
+                22,
+                7,
+                16
+            ],
+            "dims": [
+                {
+                    "__ndarray__": 19,
+                    "dtype": "int32",
+                    "shape": []
+                },
+                {
+                    "__ndarray__": 19,
+                    "dtype": "int32",
+                    "shape": []
+                },
+                {
+                    "__ndarray__": 21,
+                    "dtype": "int32",
+                    "shape": []
+                }
+            ],
+            "nCells": {
+                "__ndarray__": 6480,
+                "dtype": "int64",
+                "shape": []
+            },
+            "nNodes": {
+                "__ndarray__": 7581,
+                "dtype": "int32",
+                "shape": []
+            }
+        },
+        "4": {
+            "BCs": [
+                22,
+                7,
+                16
+            ],
+            "dims": [
+                {
+                    "__ndarray__": 3,
+                    "dtype": "int32",
+                    "shape": []
+                },
+                {
+                    "__ndarray__": 19,
+                    "dtype": "int32",
+                    "shape": []
+                },
+                {
+                    "__ndarray__": 21,
+                    "dtype": "int32",
+                    "shape": []
+                }
+            ],
+            "nCells": {
+                "__ndarray__": 720,
+                "dtype": "int64",
+                "shape": []
+            },
+            "nNodes": {
+                "__ndarray__": 1197,
+                "dtype": "int32",
+                "shape": []
+            }
+        },
+        "5": {
+            "BCs": [
+                22,
+                7
+            ],
+            "dims": [
+                {
+                    "__ndarray__": 3,
+                    "dtype": "int32",
+                    "shape": []
+                },
+                {
+                    "__ndarray__": 19,
+                    "dtype": "int32",
+                    "shape": []
+                },
+                {
+                    "__ndarray__": 21,
+                    "dtype": "int32",
+                    "shape": []
+                }
+            ],
+            "nCells": {
+                "__ndarray__": 720,
+                "dtype": "int64",
+                "shape": []
+            },
+            "nNodes": {
+                "__ndarray__": 1197,
+                "dtype": "int32",
+                "shape": []
+            }
+        },
+        "totalCells": {
+            "__ndarray__": 15120,
+            "dtype": "int64",
+            "shape": []
+        },
+        "totalNodes": {
+            "__ndarray__": 18753,
+            "dtype": "int64",
+            "shape": []
+        },
+        "totalZones": 5
+    }
+}

tests/ref/block_getNumCells.ref

@@ -0,0 +1,7 @@
+{
+    "Number of cells": {
+        "__ndarray__": 6480,
+        "dtype": "int64",
+        "shape": []
+    }
+}

tests/ref/block_getNumNodes.ref

@@ -0,0 +1,7 @@
+{
+    "Number of nodes in the first block": {
+        "__ndarray__": 7581,
+        "dtype": "int32",
+        "shape": []
+    }
+}

tests/ref/totalCellsNodes.ref

@@ -0,0 +1,12 @@
+{
+    "Total cells": {
+        "__ndarray__": 15120,
+        "dtype": "int64",
+        "shape": []
+    },
+    "Total nodes": {
+        "__ndarray__": 18753,
+        "dtype": "int64",
+        "shape": []
+    }
+}

tests/ref/wallCellsNodes.ref

@@ -0,0 +1,12 @@
+{
+    "Wall cells": {
+        "__ndarray__": 756,
+        "dtype": "int64",
+        "shape": []
+    },
+    "Wall nodes": {
+        "__ndarray__": 893,
+        "dtype": "int64",
+        "shape": []
+    }
+}