Format with ruff (#24)

Author: dougthor42

CHANGELOG.md

@@ -5,6 +5,7 @@
 + Pip and wheel are now pinned in CI so that builds don't break
   when things are updated. (#9)
 + CI was migrated to GitHub Actions. (#18, #23)
++ Code was formatted with `ruff`. (#24)
 
 
 ## 1.0.1 (2017-06-22)

pyerf/__about__.py

@@ -29,7 +29,9 @@
 __project_url__ = "https://www.github.com/dougthor42/pyerf"
 __package_name__ = "pyerf"
 
-__description__ = "A pure-Python implementation of the error function and inverse error function."
+__description__ = (
+    "A pure-Python implementation of the error function and inverse error function."
+)
 __long_descr__ = __doc__
 
 # Try to read the README file and use that as our long description.

pyerf/pyerf.py

@@ -2,16 +2,10 @@
 """
 This is the main module for PyErf.
 """
-# ---------------------------------------------------------------------------
-### Imports
-# ---------------------------------------------------------------------------
-# Standard Library
+
 import math
 
 
-# ---------------------------------------------------------------------------
-### Constants
-# ---------------------------------------------------------------------------
 # While some of these are used only in _ndtri, we don't want to
 # calculate them each time a user calls erfinv. So we define them at the
 # module level and they'll only be calculated once.
@@ -23,36 +17,33 @@
 try:
     from math import inf
 except ImportError:
-    inf = float('inf')
+    inf = float("inf")
 
 
-#: Inputs above this value are considered infinity.
+# Inputs above this value are considered infinity.
 MAXVAL = 1e50
 
 
-# ---------------------------------------------------------------------------
-### Functions
-# ---------------------------------------------------------------------------
 def _erf(x):
     """
     Port of cephes ``ndtr.c`` ``erf`` function.
 
     See https://github.com/jeremybarnes/cephes/blob/master/cprob/ndtr.c
     """
     T = [
-        9.60497373987051638749E0,
-        9.00260197203842689217E1,
-        2.23200534594684319226E3,
-        7.00332514112805075473E3,
-        5.55923013010394962768E4,
+        9.60497373987051638749e0,
+        9.00260197203842689217e1,
+        2.23200534594684319226e3,
+        7.00332514112805075473e3,
+        5.55923013010394962768e4,
     ]
 
     U = [
-        3.35617141647503099647E1,
-        5.21357949780152679795E2,
-        4.59432382970980127987E3,
-        2.26290000613890934246E4,
-        4.92673942608635921086E4,
+        3.35617141647503099647e1,
+        5.21357949780152679795e2,
+        4.59432382970980127987e3,
+        2.26290000613890934246e4,
+        4.92673942608635921086e4,
     ]
 
     # Shorcut special cases
@@ -78,45 +69,45 @@ def _erfc(a):
     """
     # approximation for abs(a) < 8 and abs(a) >= 1
     P = [
-        2.46196981473530512524E-10,
-        5.64189564831068821977E-1,
-        7.46321056442269912687E0,
-        4.86371970985681366614E1,
-        1.96520832956077098242E2,
-        5.26445194995477358631E2,
-        9.34528527171957607540E2,
-        1.02755188689515710272E3,
-        5.57535335369399327526E2,
+        2.46196981473530512524e-10,
+        5.64189564831068821977e-1,
+        7.46321056442269912687e0,
+        4.86371970985681366614e1,
+        1.96520832956077098242e2,
+        5.26445194995477358631e2,
+        9.34528527171957607540e2,
+        1.02755188689515710272e3,
+        5.57535335369399327526e2,
     ]
 
     Q = [
-        1.32281951154744992508E1,
-        8.67072140885989742329E1,
-        3.54937778887819891062E2,
-        9.75708501743205489753E2,
-        1.82390916687909736289E3,
-        2.24633760818710981792E3,
-        1.65666309194161350182E3,
-        5.57535340817727675546E2,
+        1.32281951154744992508e1,
+        8.67072140885989742329e1,
+        3.54937778887819891062e2,
+        9.75708501743205489753e2,
+        1.82390916687909736289e3,
+        2.24633760818710981792e3,
+        1.65666309194161350182e3,
+        5.57535340817727675546e2,
     ]
 
     # approximation for abs(a) >= 8
     R = [
-        5.64189583547755073984E-1,
-        1.27536670759978104416E0,
-        5.01905042251180477414E0,
-        6.16021097993053585195E0,
-        7.40974269950448939160E0,
-        2.97886665372100240670E0,
+        5.64189583547755073984e-1,
+        1.27536670759978104416e0,
+        5.01905042251180477414e0,
+        6.16021097993053585195e0,
+        7.40974269950448939160e0,
+        2.97886665372100240670e0,
     ]
 
     S = [
-        2.26052863220117276590E0,
-        9.39603524938001434673E0,
-        1.20489539808096656605E1,
-        1.70814450747565897222E1,
-        9.60896809063285878198E0,
-        3.36907645100081516050E0,
+        2.26052863220117276590e0,
+        9.39603524938001434673e0,
+        1.20489539808096656605e1,
+        1.70814450747565897222e1,
+        9.60896809063285878198e0,
+        3.36907645100081516050e0,
     ]
 
     # Shortcut special cases
@@ -188,72 +179,72 @@ def _ndtri(y):
     """
     # approximation for 0 <= abs(z - 0.5) <= 3/8
     P0 = [
-        -5.99633501014107895267E1,
-        9.80010754185999661536E1,
-        -5.66762857469070293439E1,
-        1.39312609387279679503E1,
-        -1.23916583867381258016E0,
+        -5.99633501014107895267e1,
+        9.80010754185999661536e1,
+        -5.66762857469070293439e1,
+        1.39312609387279679503e1,
+        -1.23916583867381258016e0,
     ]
 
     Q0 = [
-        1.95448858338141759834E0,
-        4.67627912898881538453E0,
-        8.63602421390890590575E1,
-        -2.25462687854119370527E2,
-        2.00260212380060660359E2,
-        -8.20372256168333339912E1,
-        1.59056225126211695515E1,
-        -1.18331621121330003142E0,
+        1.95448858338141759834e0,
+        4.67627912898881538453e0,
+        8.63602421390890590575e1,
+        -2.25462687854119370527e2,
+        2.00260212380060660359e2,
+        -8.20372256168333339912e1,
+        1.59056225126211695515e1,
+        -1.18331621121330003142e0,
     ]
 
     # Approximation for interval z = sqrt(-2 log y ) between 2 and 8
     # i.e., y between exp(-2) = .135 and exp(-32) = 1.27e-14.
     P1 = [
-        4.05544892305962419923E0,
-        3.15251094599893866154E1,
-        5.71628192246421288162E1,
-        4.40805073893200834700E1,
-        1.46849561928858024014E1,
-        2.18663306850790267539E0,
-        -1.40256079171354495875E-1,
-        -3.50424626827848203418E-2,
-        -8.57456785154685413611E-4,
+        4.05544892305962419923e0,
+        3.15251094599893866154e1,
+        5.71628192246421288162e1,
+        4.40805073893200834700e1,
+        1.46849561928858024014e1,
+        2.18663306850790267539e0,
+        -1.40256079171354495875e-1,
+        -3.50424626827848203418e-2,
+        -8.57456785154685413611e-4,
     ]
 
     Q1 = [
-        1.57799883256466749731E1,
-        4.53907635128879210584E1,
-        4.13172038254672030440E1,
-        1.50425385692907503408E1,
-        2.50464946208309415979E0,
-        -1.42182922854787788574E-1,
-        -3.80806407691578277194E-2,
-        -9.33259480895457427372E-4,
+        1.57799883256466749731e1,
+        4.53907635128879210584e1,
+        4.13172038254672030440e1,
+        1.50425385692907503408e1,
+        2.50464946208309415979e0,
+        -1.42182922854787788574e-1,
+        -3.80806407691578277194e-2,
+        -9.33259480895457427372e-4,
     ]
 
     # Approximation for interval z = sqrt(-2 log y ) between 8 and 64
     # i.e., y between exp(-32) = 1.27e-14 and exp(-2048) = 3.67e-890.
     P2 = [
-        3.23774891776946035970E0,
-        6.91522889068984211695E0,
-        3.93881025292474443415E0,
-        1.33303460815807542389E0,
-        2.01485389549179081538E-1,
-        1.23716634817820021358E-2,
-        3.01581553508235416007E-4,
-        2.65806974686737550832E-6,
-        6.23974539184983293730E-9,
+        3.23774891776946035970e0,
+        6.91522889068984211695e0,
+        3.93881025292474443415e0,
+        1.33303460815807542389e0,
+        2.01485389549179081538e-1,
+        1.23716634817820021358e-2,
+        3.01581553508235416007e-4,
+        2.65806974686737550832e-6,
+        6.23974539184983293730e-9,
     ]
 
     Q2 = [
-        6.02427039364742014255E0,
-        3.67983563856160859403E0,
-        1.37702099489081330271E0,
-        2.16236993594496635890E-1,
-        1.34204006088543189037E-2,
-        3.28014464682127739104E-4,
-        2.89247864745380683936E-6,
-        6.79019408009981274425E-9,
+        6.02427039364742014255e0,
+        3.67983563856160859403e0,
+        1.37702099489081330271e0,
+        2.16236993594496635890e-1,
+        1.34204006088543189037e-2,
+        3.28014464682127739104e-4,
+        2.89247864745380683936e-6,
+        6.79019408009981274425e-9,
     ]
 
     sign_flag = 1
@@ -266,7 +257,7 @@ def _ndtri(y):
     # between -0.135 and 0.135
     if y > EXP_NEG2:
         y -= 0.5
-        y2 = y ** 2
+        y2 = y**2
         x = y + y * (y2 * _polevl(y2, P0, 4) / _p1evl(y2, Q0, 8))
         x = x * ROOT_2PI
         return x
@@ -275,7 +266,7 @@ def _ndtri(y):
     x0 = x - math.log(x) / x
 
     z = 1.0 / x
-    if x < 8.0:                 # y > exp(-32) = 1.2664165549e-14
+    if x < 8.0:  # y > exp(-32) = 1.2664165549e-14
         x1 = z * _polevl(z, P1, 8) / _p1evl(z, Q1, 8)
     else:
         x1 = z * _polevl(z, P2, 8) / _p1evl(z, Q2, 8)