isort imports on all Python files

Author: rocky

admin-tools/build_and_check_manifest.py

@@ -1,8 +1,9 @@
 #!/usr/bin/env python
 
-from mathics.builtin import name_is_builtin_symbol, modules, Builtin
 import sys
 
+from mathics.builtin import Builtin, modules, name_is_builtin_symbol
+
 
 def generate_available_builtins_names():
     msg = ""

admin-tools/time-mathmp-sympy-fns.py

@@ -3,9 +3,10 @@
 Program to time mpmath pi vs sympy pi
 """
 
+import math
 from timeit import timeit
+
 import mpmath
-import math
 import sympy
 
 PRECISION = 100

mathics/__init__.py

@@ -1,10 +1,11 @@
 # -*- coding: utf-8 -*-
 
-import sys
 import platform
-import sympy
+import sys
+
 import mpmath
 import numpy
+import sympy
 
 from mathics.version import __version__
 

mathics/algorithm/clusters.py

@@ -1,10 +1,10 @@
 # -*- coding: utf-8 -*-
 
 
-import random
-from itertools import chain, islice
 import bisect
 import math
+import random
+from itertools import chain, islice
 
 from mpmath import fsum
 

mathics/algorithm/integrators.py

@@ -2,18 +2,11 @@
 
 import numpy as np
 
-from mathics.core.number import machine_epsilon
+from mathics.core.atoms import Integer, Integer0, Number
 from mathics.core.expression import Expression
-from mathics.core.atoms import (
-    Integer,
-    Integer0,
-    Number,
-)
-
 from mathics.core.list import ListExpression
+from mathics.core.number import machine_epsilon
 from mathics.core.symbols import Symbol, SymbolPlus, SymbolSequence, SymbolTimes
-
-
 from mathics.core.systemsymbols import (
     SymbolBlank,
     SymbolComplex,

mathics/algorithm/introselect.py

@@ -164,8 +164,8 @@ def introselect(a, k):  # changes a
 
 
 if __name__ == "__main__":
-    import random
     import itertools
+    import random
 
     def test_algorithm(l, r_max, name, f):
         a = [random.randint(-r_max, r_max) for _ in range(l)]

mathics/algorithm/optimizers.py

@@ -3,31 +3,22 @@
 from typing import Optional
 
 from mathics.builtin.scoping import dynamic_scoping
-
-
 from mathics.core.atoms import (
-    String,
     Integer,
     Integer0,
-    IntegerM1,
     Integer1,
     Integer2,
     Integer3,
     Integer10,
+    IntegerM1,
     Number,
     Real,
+    String,
 )
 from mathics.core.convert.python import from_python
 from mathics.core.evaluation import Evaluation
-from mathics.eval.nevaluator import eval_N
 from mathics.core.expression import Expression
-from mathics.core.symbols import (
-    BaseElement,
-    SymbolPlus,
-    SymbolTimes,
-    SymbolTrue,
-)
-
+from mathics.core.symbols import BaseElement, SymbolPlus, SymbolTimes, SymbolTrue
 from mathics.core.systemsymbols import (
     SymbolAutomatic,
     SymbolD,
@@ -37,6 +28,7 @@
     SymbolLog,
     SymbolNone,
 )
+from mathics.eval.nevaluator import eval_N
 
 
 def find_minimum_newton1d(f, x0, x, opts, evaluation) -> (Number, bool):

mathics/algorithm/parts.py

@@ -17,10 +17,9 @@
 )
 from mathics.core.expression import Expression
 from mathics.core.list import ListExpression
+from mathics.core.subexpression import SubExpression
 from mathics.core.symbols import Atom, Symbol, SymbolList
 from mathics.core.systemsymbols import SymbolDirectedInfinity, SymbolInfinity
-from mathics.core.subexpression import SubExpression
-
 
 SymbolNothing = Symbol("Nothing")
 

mathics/algorithm/series.py

@@ -1,16 +1,9 @@
-from mathics.core.symbols import (
-    Atom,
-    Symbol,
-    SymbolPlus,
-    SymbolPower,
-    SymbolTimes,
-)
-
 from mathics.core.atoms import Integer, Integer0, Rational
-from mathics.core.expression import Expression
 from mathics.core.convert.expression import to_mathics_list
+from mathics.core.expression import Expression
 from mathics.core.list import ListExpression
 from mathics.core.rules import Pattern
+from mathics.core.symbols import Atom, Symbol, SymbolPlus, SymbolPower, SymbolTimes
 from mathics.core.systemsymbols import (
     SymbolComplexInfinity,
     SymbolD,

mathics/benchmark.py

@@ -5,20 +5,17 @@
 import time
 from argparse import ArgumentParser
 
-
 try:
-    from statistics import mean
-    from statistics import median_low as median
+    from statistics import mean, median_low as median
 except ImportError:
     mean = lambda l: sum(l) / len(l)
     median = lambda l: sorted(l)[len(l) // 2]
 
 
 import mathics
-from mathics.core.parser import parse, MathicsMultiLineFeeder, MathicsSingleLineFeeder
 from mathics.core.definitions import Definitions
 from mathics.core.evaluation import Evaluation
-
+from mathics.core.parser import MathicsMultiLineFeeder, MathicsSingleLineFeeder, parse
 
 # Default number of times to repeat each benchmark. None -> Automatic
 TESTS_PER_BENCHMARK = None