Rename master branch to main. 🥳

Author: hameerabbasi

.github/workflows/ci.yml

@@ -97,11 +97,11 @@ on:
   # but only for the main branch
   push:
     branches:
-      - master
+      - main
       - vnext
   pull_request:
     branches:
-      - master
+      - main
       - vnext
   # Also trigger on page_build, as well as release created events
   page_build:

.github/workflows/codeql.yml

@@ -2,9 +2,9 @@ name: "CodeQL"
 
 on:
   push:
-    branches: [ "master" ]
+    branches: [ "main" ]
   pull_request:
-    branches: [ "master" ]
+    branches: [ "main" ]
   schedule:
     - cron: "51 22 * * 6"
 

README.rst

@@ -6,7 +6,7 @@ Sparse Multidimensional Arrays
 This library provides multi-dimensional sparse arrays.
 
 * `Documentation <http://sparse.pydata.org/>`_
-* `Contributing <https://github.com/pydata/sparse/blob/master/docs/contributing.rst>`_
+* `Contributing <https://github.com/pydata/sparse/blob/main/docs/contributing.rst>`_
 * `Bug Reports/Feature Requests <https://github.com/pydata/sparse/issues>`_
 
 .. |Build Status| image:: https://github.com/pydata/sparse/actions/workflows/ci.yml/badge.svg
@@ -17,6 +17,6 @@ This library provides multi-dimensional sparse arrays.
    :target: http://sparse.pydata.org/en/latest/?badge=latest
    :alt: Documentation Status
 
-.. |Coverage| image:: https://codecov.io/gh/pydata/sparse/branch/master/graph/badge.svg
+.. |Coverage| image:: https://codecov.io/gh/pydata/sparse/branch/main/graph/badge.svg
    :target: https://codecov.io/gh/pydata/sparse
    :alt: Coverage Report

docs/conf.py

@@ -56,8 +56,8 @@
 # source_suffix = ['.rst', '.md']
 source_suffix = ".rst"
 
-# The master toctree document.
-master_doc = "index"
+# The main toctree document.
+main_doc = "index"
 
 # General information about the project.
 project = "sparse"
@@ -151,13 +151,13 @@
 # Grouping the document tree into LaTeX files. List of tuples
 # (source start file, target name, title,
 #  author, documentclass [howto, manual, or own class]).
-latex_documents = [(master_doc, "sparse.tex", "sparse Documentation", "Sparse Developers", "manual")]
+latex_documents = [(main_doc, "sparse.tex", "sparse Documentation", "Sparse Developers", "manual")]
 
 # -- Options for manual page output ---------------------------------------
 
 # One entry per manual page. List of tuples
 # (source start file, name, description, authors, manual section).
-man_pages = [(master_doc, "sparse", "sparse Documentation", [author], 1)]
+man_pages = [(main_doc, "sparse", "sparse Documentation", [author], 1)]
 
 # -- Options for Texinfo output -------------------------------------------
 
@@ -166,7 +166,7 @@
 #  dir menu entry, description, category)
 texinfo_documents = [
     (
-        master_doc,
+        main_doc,
         "sparse",
         "sparse Documentation",
         author,

docs/contributing.rst

@@ -27,7 +27,7 @@ you open a new issue, please make sure of the following:
 
 * This should go without saying, but make sure what you are requesting is within
   the scope of this project.
-* The bug/feature is still present/missing on the ``master`` branch on GitHub.
+* The bug/feature is still present/missing on the ``main`` branch on GitHub.
 * A similar issue or pull request isn't already open. If one already is, it's better
   to contribute to the discussion there.
 

release-procedure.md

@@ -7,7 +7,7 @@
 
 * Push to github
   ```bash
-  git push pydata master --tags
+  git push pydata main --tags
   ```
 
 * Upload to PyPI

sparse/_common.py

@@ -96,7 +96,7 @@ def tensordot(a, b, axes=2, *, return_type=None):
     from ._compressed import GCXS
 
     # Much of this is stolen from numpy/core/numeric.py::tensordot
-    # Please see license at https://github.com/numpy/numpy/blob/master/LICENSE.txt
+    # Please see license at https://github.com/numpy/numpy/blob/main/LICENSE.txt
     check_zero_fill_value(a, b)
 
     if scipy.sparse.issparse(a):
@@ -623,7 +623,7 @@ def _dot_csr_csr(out_shape, a_data, b_data, a_indices, b_indices, a_indptr, b_in
         """
 
         # much of this is borrowed from:
-        # https://github.com/scipy/scipy/blob/master/scipy/sparse/sparsetools/csr.h
+        # https://github.com/scipy/scipy/blob/main/scipy/sparse/sparsetools/csr.h
 
         # calculate nnz before multiplying so we can use static arrays
         nnz = _csr_csr_count_nnz(out_shape, a_indices, b_indices, a_indptr, b_indptr)
@@ -922,7 +922,7 @@ def _dot_coo_coo(out_shape, a_coords, b_coords, a_data, b_data, a_indptr, b_indp
         """
 
         # much of this is borrowed from:
-        # https://github.com/scipy/scipy/blob/master/scipy/sparse/sparsetools/csr.h
+        # https://github.com/scipy/scipy/blob/main/scipy/sparse/sparsetools/csr.h
 
         n_row, n_col = out_shape
         # calculate nnz before multiplying so we can use static arrays

sparse/_coo/core.py

@@ -1323,7 +1323,7 @@ def _sum_duplicates(self):
         array([6, 7, 2], dtype=uint8)
         """
         # Inspired by scipy/sparse/coo.py::sum_duplicates
-        # See https://github.com/scipy/scipy/blob/master/LICENSE.txt
+        # See https://github.com/scipy/scipy/blob/main/LICENSE.txt
         linear = self.linear_loc()
         unique_mask = np.diff(linear) != 0
 

sparse/_slicing.py

@@ -1,5 +1,5 @@
-# Most of this file is taken from https://github.com/dask/dask/blob/master/dask/array/slicing.py
-# See license at https://github.com/dask/dask/blob/master/LICENSE.txt
+# Most of this file is taken from https://github.com/dask/dask/blob/main/dask/array/slicing.py
+# See license at https://github.com/dask/dask/blob/main/LICENSE.txt
 
 import math
 from collections.abc import Iterable

sparse/_utils.py

@@ -283,7 +283,7 @@ def random(
 
     """
     # Copied, in large part, from scipy.sparse.random
-    # See https://github.com/scipy/scipy/blob/master/LICENSE.txt
+    # See https://github.com/scipy/scipy/blob/main/LICENSE.txt
     from ._coo import COO
 
     if density is not None and nnz is not None:
@@ -445,7 +445,7 @@ def equivalent(x, y):
 
 
 # copied from zarr
-# See https://github.com/zarr-developers/zarr-python/blob/master/zarr/util.py
+# See https://github.com/zarr-developers/zarr-python/blob/main/zarr/util.py
 def human_readable_size(size):
     if size < 2**10:
         return str(size)