use strict keyword for zip

sandpiper-toolchain · Dec 13, 2024 · 30156f4 · 30156f4
1 parent 019ac9b
commit 30156f4
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Showing 3 changed files with 6 additions and 6 deletions.
diff --git a/deltametrics/io.py b/deltametrics/io.py
@@ -384,7 +384,7 @@ def get_known_coords(self, dimensions):
             # get the coordinates and dimensions from the data
             self.dims = under.dims
             self.coords = [under.coords[dim].data for dim in self.dims]
-            self.dimensions = dict(zip(self.dims, self.coords))
+            self.dimensions = dict(zip(self.dims, self.coords, strict=True))
         # otherwise, check for the arguments passed
         elif not (dimensions is None):
             # if dimensions was passed, it must be a dictionary
@@ -418,7 +418,7 @@ def get_known_coords(self, dimensions):
             self.coords = coords
 
         self.known_coords = self.dims
-        self.dimensions = dict(zip(self.dims, self.coords))
+        self.dimensions = dict(zip(self.dims, self.coords, strict=True))
 
     def connect(self, *args, **kwargs):
         """Connect to the data file.

diff --git a/deltametrics/utils.py b/deltametrics/utils.py
@@ -119,7 +119,7 @@ def _attribute_checker(self, checklist):
 
         log_list = list(att_dict.values())
         log_form = [value for string, value in
-                    zip(log_list, att_dict.keys()) if not string]
+                    zip(log_list, att_dict.keys(), strict=True) if not string]
         if not all(log_list):
             raise RuntimeError('Required attribute(s) not assigned: '
                                + str(log_form))

diff --git a/tests/test_plot.py b/tests/test_plot.py
@@ -790,23 +790,23 @@ def test_one_histogram_with_ax(self):
     def test_multiple_no_sets(self):
         sets = [np.histogram(np.random.normal(lc, s, size=500),
                 bins=self.bins, density=True) for lc, s in
-                zip(self.locs, self.scales)]
+                zip(self.locs, self.scales, strict=True)]
         fig, ax = plt.subplots()
         show_histograms(*sets, ax=ax)
         plt.close()
 
     def test_multiple_no_sets_alphakwarg(self):
         sets = [np.histogram(np.random.normal(lc, s, size=500),
                 bins=self.bins, density=True) for lc, s in
-                zip(self.locs, self.scales)]
+                zip(self.locs, self.scales, strict=True)]
         fig, ax = plt.subplots()
         show_histograms(*sets, ax=ax, alpha=0.4)
         plt.close()
 
     def test_multiple_with_sets(self):
         sets = [np.histogram(np.random.normal(lc, s, size=500),
                 bins=self.bins, density=True) for lc, s in
-                zip(self.locs, self.scales)]
+                zip(self.locs, self.scales, strict=True)]
         fig, ax = plt.subplots()
         show_histograms(*sets, sets=[0, 0, 1, 1, 2], ax=ax)
         plt.close()