pysal · Ziqi-Li · Nov 8, 2021 · Nov 7, 2021 · Nov 7, 2021 · Nov 8, 2021
diff --git a/.ci/37.yaml b/.ci/37.yaml
@@ -0,0 +1,17 @@
+name: test
+channels:
+  - conda-forge
+dependencies:
+  - python=3.7
+  - libpysal
+  - numpy>=1.3
+  - pandas>=1
+  - scikit-learn>=0.22
+  - scipy>=1.0
+  - spglm
+  - spreg
+  # testing
+  - codecov
+  - coverage
+  - pytest
+  - pytest-cov
diff --git a/.ci/38.yaml b/.ci/38.yaml
@@ -0,0 +1,17 @@
+name: test
+channels:
+  - conda-forge
+dependencies:
+  - python=3.8
+  - libpysal
+  - numpy>=1.3
+  - pandas>=1
+  - scikit-learn>=0.22
+  - scipy>=1.0
+  - spglm
+  - spreg
+  # testing
+  - codecov
+  - coverage
+  - pytest
+  - pytest-cov
diff --git a/.ci/39-DEV.yaml b/.ci/39-DEV.yaml
@@ -0,0 +1,18 @@
+name: test
+channels:
+  - conda-forge
+dependencies:
+  - python=3.9
+  - libpysal
+  - shapely
+  - numpy>=1.3
+  - pandas>=1
+  - scikit-learn>=0.22
+  - scipy>=1.0
+  - spglm
+  - spreg
+  # testing
+  - codecov
+  - coverage
+  - pytest
+  - pytest-cov
diff --git a/.ci/39.yaml b/.ci/39.yaml
@@ -0,0 +1,17 @@
+name: test
+channels:
+  - conda-forge
+dependencies:
+  - python=3.9
+  - libpysal
+  - numpy>=1.3
+  - pandas>=1
+  - scikit-learn>=0.22
+  - scipy>=1.0
+  - spglm
+  - spreg
+  # testing
+  - codecov
+  - coverage
+  - pytest
+  - pytest-cov
diff --git a/.github/workflows/unittest.yml b/.github/workflows/unittest.yml
@@ -0,0 +1,61 @@
+ on:
+   push:
+     branches:
+     - '*'
+   pull_request:
+     branches:
+     - '*'
+   schedule:
+     - cron: '59 23 * * *'
+
+ jobs:
+   unittests:
+     name: ${{ matrix.os }}, ${{ matrix.environment-file }}
+     runs-on: ${{ matrix.os }}
+     timeout-minutes: 30 
+     strategy:
+       matrix:
+         os: ['macos-latest', 'ubuntu-latest', 'windows-latest']
+         environment-file: [.ci/37.yaml, .ci/38.yaml, .ci/39.yaml]
+         include:
+           - environment-file: .ci/39-DEV.yaml
+             os: ubuntu-latest
+
+     steps:
+       - name: checkout repo
+         uses: actions/checkout@v2
+
+       - name: setup micromamba
+         uses: mamba-org/provision-with-micromamba@main
+         with:
+           environment-file: ${{ matrix.environment-file }}
+           micromamba-version: 'latest'
+       - name: install spglm via pip
+         shell: bash -l {0}
+         run: pip install spglm 
+
+       - name: install spreg via pip
+         shell: bash -l {0}
+         run: pip install spreg 
+
+       - name: install bleeding edge libpysal (only Ubuntu / Python 3.9)
+         shell: bash -l {0}
+         run: pip install git+https://github.com/pysal/libpysal.git@master
+         if: matrix.os == 'ubuntu-latest' && contains(matrix.environment-file, 'DEV')
+
+       - name: run tests - bash
+         shell: bash -l {0}
+         run: pytest -v mgwr --cov=mgwr --cov-report=xml
+         if: matrix.os != 'windows-latest'
+
+       - name: run tests - powershell
+         shell: powershell
+         run: pytest -v mgwr --cov=mgwr --cov-report=xml
+         if: matrix.os == 'windows-latest'
+
+       - name: codecov
+         uses: codecov/codecov-action@v2
+         with:
+           token: ${{ secrets.CODECOV_TOKEN }}
+           file: ./coverage.xml
+           name: spot-codecov
diff --git a/.travis.yml b/.travis.yml
diff --git a/mgwr/gwr.py b/mgwr/gwr.py
@@ -231,6 +231,10 @@ def __init__(self, coords, y, X, bw, family=Gaussian(), offset=None,
         self.hat_matrix = hat_matrix
 
     def _build_wi(self, i, bw):
+
+        if bw == np.inf:
+            wi = np.ones((self.n))
+            return wi
 
         try:
             wi = Kernel(i, self.coords, bw, fixed=self.fixed,

diff --git a/mgwr/search.py b/mgwr/search.py
@@ -5,8 +5,7 @@
 import numpy as np
 from copy import deepcopy
 
-
-def golden_section(a, c, delta, function, tol, max_iter, int_score=False,
+def golden_section(a, c, delta, function, tol, max_iter, bw_max, int_score=False,
                    verbose=False):
     """
     Golden section search routine
@@ -43,14 +42,19 @@ def golden_section(a, c, delta, function, tol, max_iter, int_score=False,
     output          : list of tuples
                       searching history
     """
-    b = a + delta * np.abs(c - a)
-    d = c - delta * np.abs(c - a)
-    score = 0.0
+    if c == np.inf:
+        b = a + delta * np.abs(n - a)
+        d = n - delta * np.abs(n - a)
+    else:
+        b = a + delta * np.abs(c - a)
+        d = c - delta * np.abs(c - a)
+
+    opt_score = np.inf
     diff = 1.0e9
     iters = 0
     output = []
     dict = {}
-    while np.abs(diff) > tol and iters < max_iter:
+    while np.abs(diff) > tol and iters < max_iter and a != np.inf:
         iters += 1
         if int_score:
             b = np.round(b)
@@ -96,6 +100,19 @@ def golden_section(a, c, delta, function, tol, max_iter, int_score=False,
 
         diff = score_b - score_d
         score = opt_score
+
+
+    if a == np.inf or bw_max == np.inf:
+        score_ols = function(np.inf)
+        output.append((np.inf, score_ols))
+
+        if score_ols <= opt_score:
+            opt_score = score_ols
+            opt_val = np.inf
+
+        if verbose:
+            print("Bandwidth: ", np.inf, ", score: ",
+                    "{0:.2f}".format(score_ols[0]))
 
     return opt_val, opt_score, output
 

diff --git a/mgwr/sel_bw.py b/mgwr/sel_bw.py
@@ -335,7 +335,7 @@ def _bw(self):
                                       self.constant)
             delta = 0.38197  #1 - (np.sqrt(5.0)-1.0)/2.0
             self.bw = golden_section(a, c, delta, gwr_func, self.tol,
-                                     self.max_iter, self.int_score,
+                                     self.max_iter, self.bw_max, self.int_score,
                                      self.verbose)
         elif self.search_method == 'interval':
             self.bw = equal_interval(self.bw_min, self.bw_max, self.interval,
@@ -432,7 +432,7 @@ def _init_section(self, X_glob, X_loc, coords, constant):
 
         if self.bw_min is not None:
             a = self.bw_min
-        if self.bw_max is not None:
+        if self.bw_max is not None and self.bw_max is not np.inf:
             c = self.bw_max
 
         return a, c