Merge pull request #337 from hameerabbasi/numba-49

Prepare for Numba 0.49.

.gitignore

@@ -69,6 +69,7 @@ target/
 # IDE
 .idea/
 .vscode/
+default.profraw
 
 # Sandbox
 sandbox.py

azure-pipelines.yml

@@ -1,32 +1,32 @@
 jobs:
 - job: Linux
   variables:
-    python_version: '3.5'
+    python_version: '3.6'
   pool:
     vmImage: 'ubuntu-16.04'
   steps:
     - template: ci/azure-steps.yml
   strategy:
     matrix:
+        Python38:
+          python_version: '3.8'
         Python37:
           python_version: '3.7'
         Python36:
           python_version: '3.6'
-        Python35:
-          python_version: '3.5'
         ArrayFunction:
           NUMPY_EXPERIMENTAL_ARRAY_FUNCTION: '1'
           NUMPY_VERSION: '==1.16.2'
 - job: MacOS
   variables:
-    python_version: '3.5'
+    python_version: '3.6'
   pool:
     vmImage: 'macos-10.14'
   steps:
     - template: ci/azure-steps.yml
 - job: Windows
   variables:
-    python_version: '3.5'
+    python_version: '3.6'
   pool:
     vmImage: 'vs2017-win2016'
   steps:

ci/environment-3.8.yml

@@ -0,0 +1,16 @@
+name: py38-sparse-test
+channels:
+  - conda-forge
+dependencies:
+  - python=3.8
+  - pip
+  - pytest
+  - numpy
+  - scipy
+  - pytest-cov
+  - nomkl
+  - numba
+  - black
+  - codecov
+  - pip:
+    - pytest-black

docs/conf.py

@@ -95,6 +95,7 @@
 todo_include_todos = False
 
 autosummary_generate = True
+autosummary_generate_overwrite = False
 
 # -- Options for HTML output ----------------------------------------------
 

requirements.txt

@@ -1,3 +1,3 @@
 numpy
 scipy>=0.19
-numba>=0.45
+numba>=0.49

setup.py

@@ -59,9 +59,9 @@ def parse_requires():
         "License :: OSI Approved :: BSD License",
         "Programming Language :: Python",
         "Programming Language :: Python :: 3",
-        "Programming Language :: Python :: 3.5",
         "Programming Language :: Python :: 3.6",
         "Programming Language :: Python :: 3.7",
+        "Programming Language :: Python :: 3.8",
         "Programming Language :: Python :: 3 :: Only",
         "Intended Audience :: Developers",
         "Intended Audience :: Science/Research",
@@ -74,5 +74,5 @@ def parse_requires():
     entry_points={
         "numba_extensions": ["init = sparse._numba_extension:_init_extension"]
     },
-    python_requires=">=3.5, <4",
+    python_requires=">=3.6, <4",
 )

sparse/_coo/common.py

@@ -1148,7 +1148,7 @@ def _dot_coo_coo_type(dt1, dt2):
     @numba.jit(
         nopython=True,
         nogil=True,
-        locals={"data_curr": numba.numpy_support.from_dtype(dtr)},
+        locals={"data_curr": numba.np.numpy_support.from_dtype(dtr)},
     )
     def _dot_coo_coo(coords1, data1, coords2, data2):  # pragma: no cover
         """

sparse/_coo/numba_extension.py

@@ -14,9 +14,9 @@
     make_attribute_wrapper,
     type_callable,
 )
-from numba.targets.imputils import impl_ret_borrowed, lower_constant, lower_builtin
-from numba.typing.typeof import typeof_impl
-from numba import cgutils, types
+from numba.core.imputils import impl_ret_borrowed, lower_constant, lower_builtin
+from numba.core.typing.typeof import typeof_impl
+from numba.core import cgutils, types
 from sparse._utils import _zero_of_dtype
 import contextlib
 
@@ -83,8 +83,8 @@ def type_COO(context):
     # TODO: accept a fill_value kwarg
     def typer(coords, data, shape):
         return COOType(
-            coords_dtype=numba.numpy_support.as_dtype(coords.dtype),
-            data_dtype=numba.numpy_support.as_dtype(data.dtype),
+            coords_dtype=numba.np.numpy_support.as_dtype(coords.dtype),
+            data_dtype=numba.np.numpy_support.as_dtype(data.dtype),
             ndim=len(shape),
         )