change a_star to astar

.github/workflows/python-package.yml

@@ -32,7 +32,7 @@ jobs:
         if [ "${{ matrix.python-version }}" != "3.10" ]; then pip install mindspore==1.10.0; fi
     - name: generate astar.so
       run: |
-        python pygmtools/astar/get_astar.py
+        python pygmtools/c_astar/get_c_astar.py
     - name: Lint with flake8
       run: |
         # stop the build if there are Python syntax errors or undefined names
@@ -69,7 +69,7 @@ jobs:
           pip install -r tests/requirements_win_mac.txt
       - name: generate astar.so
         run: |
-          python pygmtools/astar/get_astar.py
+          python pygmtools/c_astar/get_c_astar.py
       - name: Lint with flake8
         run: |
           # stop the build if there are Python syntax errors or undefined names
@@ -101,7 +101,7 @@ jobs:
           python -m pip install -r tests\requirements_win_mac.txt
       - name: generate astar.pyd
         run: |
-          python pygmtools/astar/get_astar.py
+          python pygmtools/c_astar/get_c_astar.py
       - name: Lint with flake8
         run: |
           # stop the build if there are Python syntax errors or undefined names

pygmtools/astar/a_star.pyx → pygmtools/c_astar/c_astar.pyx

@@ -28,7 +28,7 @@ cdef extern from "priority_queue.hpp":
 
 @cython.boundscheck(False)
 @cython.wraparound(False)
-def a_star(
+def c_astar(
         data,
         k,
         vector[long] ns_1,

pygmtools/astar/a_star_setup.py → pygmtools/c_astar/c_astar_setup.py

@@ -2,11 +2,12 @@
 from Cython.Build import cythonize
 import numpy as np
 from glob import glob
+
 setup(
-    name='a-star function',
+    name='c_astar function',
     ext_modules=cythonize(
         Extension(
-            'a_star',
+            'c_astar',
             glob('*.pyx'),
             include_dirs=[np.get_include(),"."],
             extra_compile_args=["-std=c++11"],

pygmtools/astar/get_astar.py → pygmtools/c_astar/get_c_astar.py

@@ -3,12 +3,12 @@
 import shutil
 
 ori_dir = os.getcwd()
-os.chdir('pygmtools/astar')
+os.chdir('pygmtools/c_astar')
 
 try:
-    os.system("python a_star_setup.py build_ext --inplace")
+    os.system("python c_astar_setup.py build_ext --inplace")
 except:
-    os.system("python3 a_star_setup.py build_ext --inplace")
+    os.system("python3 c_astar_setup.py build_ext --inplace")
 
 current_dir = os.getcwd()
 

pygmtools/pytorch_backend.py

@@ -20,7 +20,7 @@
 from .pytorch_astar_modules import GCNConv, AttentionModule, TensorNetworkModule, GraphPair, \
     VERY_LARGE_INT, to_dense_adj, to_dense_batch, default_parameter, check_layer_parameter, node_metric
 from torch import Tensor
-from pygmtools.a_star import a_star
+from pygmtools.c_astar import c_astar
 
 #############################################
 #     Linear Assignment Problem Solvers     #
@@ -930,10 +930,10 @@ def forward(self, data: GraphPair):
                                  data.g1.nodes_num[i], data.g2.nodes_num[i])
             num_nodes_1 = data.g1.nodes_num[i] + 1
             num_nodes_2 = data.g2.nodes_num[i] + 1
-            x_pred[i][:num_nodes_1, :num_nodes_2] = self._a_star(cur_data)
+            x_pred[i][:num_nodes_1, :num_nodes_2] = self._astar(cur_data)
         return x_pred[:, :-1, :-1]
 
-    def _a_star(self, data: GraphPair):
+    def _astar(self, data: GraphPair):
 
         if self.args['cuda']:
             device = "cuda" if torch.cuda.is_available() else "cpu"
@@ -995,7 +995,7 @@ def _a_star(self, data: GraphPair):
 
         self.reset_cache()
 
-        x_pred, _ = a_star(
+        x_pred, _ = c_astar(
             data, k, ns_1.cpu().numpy(), ns_2.cpu().numpy(),
             self.net_prediction_cache,
             self.heuristic_prediction_hun,

setup.py

@@ -52,7 +52,7 @@ def get_property(prop, project):
 
 class BdistWheelCommand(_bdist_wheel):
     def run(self):
-        os.system("python pygmtools/astar/get_astar.py")
+        os.system("python pygmtools/c_astar/get_c_astar.py")
         super().run()
 
     def get_tag(self):
@@ -74,7 +74,7 @@ def get_tag(self):
 class InstallCommand(_install):
     def run(self):
         try:
-            os.system("python pygmtools/astar/get_astar.py")
+            os.system("python pygmtools/c_astar/get_c_astar.py")
         except:
             pass
         _install.run(self)

tests/test_classic_solvers.py

@@ -210,7 +210,7 @@ def _test_classic_solver_on_linear_assignment(num_nodes1, num_nodes2, node_feat_
             last_X = pygm.utils.to_numpy(_X)
 
 
-# The testing function for a_star
+# The testing function for astar
 def _test_astar(graph_num_nodes, node_feat_dim, solver_func, matrix_params, backends):
     if backends[0] != 'pytorch':
         backends.insert(0, 'pytorch') # force pytorch as the reference backend