[NFC] Remove some trailing whitespace and a few other weirdly-placed whitespaces

Author: ldionne

lnt/external/stats/stats.py

@@ -6,10 +6,10 @@
 # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 # copies of the Software, and to permit persons to whom the Software is
 # furnished to do so, subject to the following conditions:
-# 
+#
 # The above copyright notice and this permission notice shall be included in
 # all copies or substantial portions of the Software.
-# 
+#
 # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
@@ -20,7 +20,7 @@
 #
 # Comments and/or additions are welcome (send e-mail to:
 # [email protected]).
-# 
+#
 """
 stats.py module
 
@@ -134,7 +134,7 @@
                     ksprob
                     fprob
                     betacf
-                    gammln 
+                    gammln
                     betai
 
 ANOVA FUNCTIONS:  F_oneway
@@ -960,7 +960,7 @@ def lkendalltau(x, y):
 
 def llinregress(x, y):
     """
-Calculates a regression line on x,y pairs.  
+Calculates a regression line on x,y pairs.
 
 Usage:   llinregress(x,y)      x,y are equal-length lists of x-y coordinates
 Returns: slope, intercept, r, two-tailed prob, sterr-of-estimate
@@ -1255,7 +1255,7 @@ def lkruskalwallish(*args):
 The Kruskal-Wallis H-test is a non-parametric ANOVA for 3 or more
 groups, requiring at least 5 subjects in each group.  This function
 calculates the Kruskal-Wallis H-test for 3 or more independent samples
-and returns the result.  
+and returns the result.
 
 Usage:   lkruskalwallish(*args)
 Returns: H-statistic (corrected for ties), associated p-value
@@ -1394,7 +1394,7 @@ def lerfcc(x):
 def lzprob(z):
     """
 Returns the area under the normal curve 'to the left of' the given z value.
-Thus, 
+Thus,
     for z<0, zprob(z) = 1-tail probability
     for z>0, 1.0-zprob(z) = 1-tail probability
     for any z, 2.0*(1.0-zprob(abs(z))) = 2-tail probability
@@ -1847,7 +1847,7 @@ def lfindwithin (data):
 Returns an integer representing a binary vector, where 1=within-
 subject factor, 0=between.  Input equals the entire data 2D list (i.e.,
 column 0=random factor, column -1=measured values (those two are skipped).
-Note: input data is in |Stat format ... a list of lists ("2D list") with 
+Note: input data is in |Stat format ... a list of lists ("2D list") with
 one row per measured value, first column=subject identifier, last column=
 score, one in-between column per factor (these columns contain level
 designations on each factor).  See also stats.anova.__doc__.
@@ -2234,7 +2234,7 @@ def atmean(a,limits=None,inclusive=(1, 1)):
  def atvar(a,limits=None,inclusive=(1, 1)):
      """
 Returns the sample variance of values in an array, (i.e., using N-1),
-ignoring values strictly outside the sequence passed to 'limits'.  
+ignoring values strictly outside the sequence passed to 'limits'.
 Note: either limit in the sequence, or the value of limits itself,
 can be set to None.  The inclusive list/tuple determines whether the lower
 and upper limiting bounds (respectively) are open/exclusive (0) or
@@ -2387,8 +2387,8 @@ def avariation(a,dimension=None):
     return 100.0*asamplestdev(a, dimension)/amean(a, dimension)
 
 
- def askew(a,dimension=None): 
-    """ 
+ def askew(a,dimension=None):
+    """
 Returns the skewness of a distribution (normal ==> 0.0; >0 means extra
 weight in left tail).  Use askewtest() to see if it's close enough.
 Dimension can equal None (ravel array first), an integer (the
@@ -2704,7 +2704,7 @@ def asamplevar (inarray,dimension=None,keepdims=0):
         mn = amean(inarray, dimension)[:, N.NewAxis]
     else:
         mn = amean(inarray, dimension, keepdims=1)
-    deviations = inarray - mn 
+    deviations = inarray - mn
     if isinstance(dimension, list):
         n = 1
         for d in dimension:
@@ -3357,7 +3357,7 @@ def attest_ind (a, b, dimension=None, printit=0, name1='Samp1', name2='Samp2',wr
         probs = N.reshape(probs, t.shape)
     if probs.shape == (1,):
         probs = probs[0]
-        
+
     if printit != 0:
         if isinstance(t, N.ndarray):
             t = t[0]
@@ -3782,7 +3782,7 @@ def aerfcc(x):
  def azprob(z):
     """
 Returns the area under the normal curve 'to the left of' the given z value.
-Thus, 
+Thus,
     for z<0, zprob(z) = 1-tail probability
     for z>0, 1.0-zprob(z) = 1-tail probability
     for any z, 2.0*(1.0-zprob(abs(z))) = 2-tail probability
@@ -4373,7 +4373,7 @@ def afindwithin(data):
                       (acumfreq, (N.ndarray,)) )
  relfreq = Dispatch ( (lrelfreq, (list, tuple)),
                       (arelfreq, (N.ndarray,)) )
- 
+
 ## VARIABILITY:
  obrientransform = Dispatch ( (lobrientransform, (list, tuple)),
                               (aobrientransform, (N.ndarray,)) )
@@ -4394,14 +4394,14 @@ def afindwithin(data):
                 (az, (N.ndarray,)) )
  zs = Dispatch ( (lzs, (list, tuple)),
                  (azs, (N.ndarray,)) )
- 
+
 ## TRIMMING FCNS:
  threshold = Dispatch( (athreshold, (N.ndarray,)),)
  trimboth = Dispatch ( (ltrimboth, (list, tuple)),
                        (atrimboth, (N.ndarray,)) )
  trim1 = Dispatch ( (ltrim1, (list, tuple)),
                     (atrim1, (N.ndarray,)) )
- 
+
 ## CORRELATION FCNS:
  paired = Dispatch ( (lpaired, (list, tuple)),
                      (apaired, (N.ndarray,)) )
@@ -4417,7 +4417,7 @@ def afindwithin(data):
                          (akendalltau, (N.ndarray,)) )
  linregress = Dispatch ( (llinregress, (list, tuple)),
                          (alinregress, (N.ndarray,)) )
- 
+
 ## INFERENTIAL STATS:
  ttest_1samp = Dispatch ( (lttest_1samp, (list, tuple)),
                           (attest_1samp, (N.ndarray,)) )
@@ -4441,7 +4441,7 @@ def afindwithin(data):
                              (akruskalwallish, (N.ndarray,)) )
  friedmanchisquare = Dispatch ( (lfriedmanchisquare, (list, tuple)),
                                 (afriedmanchisquare, (N.ndarray,)) )
- 
+
 ## PROBABILITY CALCS:
  chisqprob = Dispatch ( (lchisqprob, (int, float)),
                         (achisqprob, (N.ndarray,)) )
@@ -4459,7 +4459,7 @@ def afindwithin(data):
                     (aerfcc, (N.ndarray,)) )
  gammln = Dispatch ( (lgammln, (int, float)),
                      (agammln, (N.ndarray,)) )
- 
+
 ## ANOVA FUNCTIONS:
  F_oneway = Dispatch ( (lF_oneway, (list, tuple)),
                        (aF_oneway, (N.ndarray,)) )

lnt/server/db/testsuite.py

@@ -237,8 +237,9 @@ def __json__(self):
 class FieldMixin(object):
     @property
     def title(self):
-        """ Return a title for the given field by replacing all _ with
-            spaces and that has every word capitalized.
+        """
+        Return a title for the given field by replacing all _ with
+        spaces and that has every word capitalized.
         """
         return self.name.replace("_", " ").title()
 

lnt/server/ui/app.py

@@ -190,7 +190,8 @@ def internal_server_error(e):
 
     @staticmethod
     def create_standalone(config_path, log_file=None):
-        """ Create an instance of a lnt Flask application from a config file.
+        """
+        Create an instance of a lnt Flask application from a config file.
 
         :param config_path: path to lnt config (directory or config file).
 

lnt/server/ui/views.py

@@ -974,7 +974,7 @@ def load_geomean_data(field, machine, limit, xaxis_date, revision_cache=None):
 
 @v4_route("/tableau")
 def v4_tableau():
-    """ Tableau WDC."""
+    """Tableau WDC."""
     return render_template("v4_tableau.html")
 
 

lnt/tests/nt.py

@@ -213,7 +213,7 @@ def llvm_source_version(self):
 
     @property
     def qemu_user_mode_command(self):
-        """ The command used for qemu user mode """
+        """The command used for qemu user mode """
         assert self.qemu_user_mode
         qemu_cmd_line = [self.qemu_user_mode] + list(self.qemu_flags)
         if self.qemu_string:
@@ -222,7 +222,7 @@ def qemu_user_mode_command(self):
 
     @property
     def generate_report_script(self):
-        """ The path to the report generation script. """
+        """The path to the report generation script. """
         return os.path.join(self.test_suite_root, "GenerateReport.pl")
 
     def build_report_path(self, iteration):

tests/server/ui/test_api.py

@@ -182,15 +182,15 @@ def test_run_api(self):
         check_json(client, 'api/db_default/v4/nts/runs/100', expected_code=404)
 
     def test_order_api(self):
-        """ Check /orders/n returns the expected order information."""
+        """Check /orders/n returns the expected order information."""
         client = self.client
         j = check_json(client, 'api/db_default/v4/nts/orders/1')
         self.assertEqual(j['orders'][0], order_expected_response)
         self._check_response_is_well_formed(j)
         check_json(client, 'api/db_default/v4/nts/orders/100', expected_code=404)
 
     def test_single_sample_api(self):
-        """ Check /samples/n returns the expected sample information."""
+        """Check /samples/n returns the expected sample information."""
         client = self.client
         j = check_json(client, 'api/db_default/v4/nts/samples/1')
         self._check_response_is_well_formed(j)