fix: lint errors

Author: Jaysukh-409

lib/node_modules/@stdlib/stats/base/dists/planck/pmf/test/fixtures/python/runner.py

@@ -1,5 +1,5 @@
-#!/usr/bin/env python
-
+# !/usr/bin/env python
+#
 # @license Apache-2.0
 #
 # Copyright (c) 2024 The Stdlib Authors.
@@ -16,11 +16,18 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+"""
+This script generates fixture data for the Planck distribution's probability mass function (PMF).
+
+It writes the generated data to JSON files for large and small lambda values.
+"""
+
 import os
 import json
 import numpy as np
 from scipy.stats import planck
 
+
 def gen(x, lam, name):
     """
     Generate fixture data and write to file.
@@ -29,7 +36,7 @@ def gen(x, lam, name):
     ----------
     x : ndarray
         Input values.
-    lambda : ndarray
+    lam : ndarray
         Shape parameter.
     name : str
         Output filename.
@@ -54,22 +61,23 @@ def gen(x, lam, name):
     filepath = os.path.join(dir_path, name)
 
     # Write the data to the output filepath as JSON:
-    with open(filepath, "w") as outfile:
+    with open(filepath, "w", encoding='utf-8') as outfile:
         json.dump(data, outfile)
-    
+
     # Include trailing newline
-    with open(filepath, "a") as outfile:
+    with open(filepath, "a", encoding='utf-8') as outfile:
         outfile.write("\n")
 
+
 # Get the directory in which this file resides:
 dir_path = os.path.dirname(os.path.abspath(__file__))
 
 # Large success probability:
-x = np.round(np.random.rand(1000) * 10.0)
-lam = (np.random.rand(1000) * 10) + 10
-gen(x, lam, "large_lambda.json")
+x_ = np.round(np.random.rand(1000) * 10.0)
+lam_ = (np.random.rand(1000) * 10) + 10
+gen(x_, lam_, "large_lambda.json")
 
 # Small success probability:
-x = np.round(np.random.rand(1000) * 10.0)
-lam = np.random.rand(1000) * 0.5
-gen(x, lam, "small_lambda.json")
+x_ = np.round(np.random.rand(1000) * 10.0)
+lam_ = np.random.rand(1000) * 0.5
+gen(x_, lam_, "small_lambda.json")