Use context managers to open files

antarctica_today/compute_mean_climatology.py

@@ -247,9 +247,8 @@ def read_daily_sum_melt_averages_picklefile(
             )
 
     logger.debug(f"Reading {daily_sum_picklefile}")
-    f = open(daily_sum_picklefile, "rb")
-    array, dt_dict = pickle.load(f)
-    f.close()
+    with open(daily_sum_picklefile, "rb") as f:
+        array, dt_dict = pickle.load(f)
 
     return array, dt_dict
 

antarctica_today/generate_antarctica_today_map.py

@@ -548,9 +548,8 @@ def _generate_new_baseline_map_figure(
 
         if save_to_picklefile:
             fname = map_picklefile_dictionary[(map_type_lower, region_number)]
-            f = open(fname, "wb")
-            pickle.dump(fig, f)
-            f.close()
+            with open(fname, "wb") as f:
+                pickle.dump(fig, f)
             logger.debug(f"Wrote {fname}")
 
         return fig, ax
@@ -571,9 +570,9 @@ def _read_baseline_map_picklefile(self, map_type="daily", region_number=0):
         logger.debug(f"Reading {fname}")
 
         # Read the picklefile
-        f = open(fname, "rb")
-        fig = pickle.load(f)
-        f.close()
+        with open(fname, "rb") as f:
+            fig = pickle.load(f)
+
         # Get the axes, should just be one panel here.
         ax = fig.axes[0]
         # Set the current axes to ax

antarctica_today/update_data.py

@@ -310,9 +310,8 @@ def update_everything_to_latest_date(
             dt_dict[dt] = previous_melt_array.shape[2] + i
 
         if overwrite:
-            f = open(tb_file_data.model_results_picklefile, "wb")
-            pickle.dump((melt_array_updated, dt_dict), f)
-            f.close()
+            with open(tb_file_data.model_results_picklefile, "wb") as f:
+                pickle.dump((melt_array_updated, dt_dict), f)
 
         logger.info(f"Wrote {tb_file_data.model_results_picklefile}")
 

antarctica_today/write_flat_binary.py

@@ -36,35 +36,34 @@ def write_array_to_binary(
         byteorder = "big"
 
     # Open the output file name.
-    f = open(bin_filename, "wb")
-
-    # Convert the number of bytes into the correct numpy array datatype.
-    if signed:
-        n_dtype = {1: numpy.int8, 2: numpy.int16, 4: numpy.int32, 8: numpy.int64}[
-            int(numbytes)
-        ]
-    else:
-        n_dtype = {1: numpy.uint8, 2: numpy.uint16, 4: numpy.uint32, 8: numpy.uint64}[
-            int(numbytes)
-        ]
-
-    # Converte the array into the appropriate data type, and multiply by the multiplier
-    out_array = numpy.array(array * multiplier, dtype=n_dtype)
-
-    # Flatten the array.
-    out_array = out_array.flatten()
-
-    for value in out_array:
-        f.write(
-            int.to_bytes(
-                int(value), length=numbytes, byteorder=byteorder, signed=signed
+    with open(bin_filename, "wb") as f:
+        # Convert the number of bytes into the correct numpy array datatype.
+        if signed:
+            n_dtype = {1: numpy.int8, 2: numpy.int16, 4: numpy.int32, 8: numpy.int64}[
+                int(numbytes)
+            ]
+        else:
+            n_dtype = {
+                1: numpy.uint8,
+                2: numpy.uint16,
+                4: numpy.uint32,
+                8: numpy.uint64,
+            }[int(numbytes)]
+
+        # Converte the array into the appropriate data type, and multiply by the multiplier
+        out_array = numpy.array(array * multiplier, dtype=n_dtype)
+
+        # Flatten the array.
+        out_array = out_array.flatten()
+
+        for value in out_array:
+            f.write(
+                int.to_bytes(
+                    int(value), length=numbytes, byteorder=byteorder, signed=signed
+                )
             )
-        )
-
-    f.close()
 
     logger.debug(f"Wrote {os.path.split(bin_filename)[-1]}")
-
     return bin_filename