Added perfbd.py and block device performance sampling in bench-runner

Based loosely on Linux's perf tool, perfbd.py uses trace output with
backtraces to aggregate and show the block device usage of all functions
in a program, propagating block devices operation cost up the backtrace
for each operation.

This combined with --trace-period and --trace-freq for
sampling/filtering trace events allow the bench-runner to very
efficiently record the general cost of block device operations with very
little overhead.

Adopted this as the default side-effect of make bench, replacing
cycle-based performance measurements which are less important for
littlefs.

scripts/summary.py

@@ -15,15 +15,12 @@
 import collections as co
 import csv
 import functools as ft
-import glob
 import itertools as it
 import math as m
 import os
 import re
 
 
-CSV_PATHS = ['*.csv']
-
 # supported merge operations
 #
 # this is a terrible way to express these
@@ -548,14 +545,14 @@ def table(Result, results, diff_results=None, *,
             line[-1]))
 
 
-def openio(path, mode='r'):
+def openio(path, mode='r', buffering=-1):
     if path == '-':
         if mode == 'r':
-            return os.fdopen(os.dup(sys.stdin.fileno()), 'r')
+            return os.fdopen(os.dup(sys.stdin.fileno()), mode, buffering)
         else:
-            return os.fdopen(os.dup(sys.stdout.fileno()), 'w')
+            return os.fdopen(os.dup(sys.stdout.fileno()), mode, buffering)
     else:
-        return open(path, mode)
+        return open(path, mode, buffering)
 
 def main(csv_paths, *,
         by=None,
@@ -605,20 +602,8 @@ def main(csv_paths, *,
         ops.update(ops_)
 
     # find CSV files
-    paths = []
-    for path in csv_paths:
-        if os.path.isdir(path):
-            path = path + '/*.csv'
-
-        for path in glob.glob(path):
-            paths.append(path)
-
-    if not paths:
-        print("error: no .csv files found in %r?" % csv_paths)
-        sys.exit(-1)
-
     results = []
-    for path in paths:
+    for path in csv_paths:
         try:
             with openio(path) as f:
                 reader = csv.DictReader(f, restval='')
@@ -721,9 +706,7 @@ if __name__ == "__main__":
     parser.add_argument(
         'csv_paths',
         nargs='*',
-        default=CSV_PATHS,
-        help="Description of where to find *.csv files. May be a directory "
-            "or list of paths. Defaults to %r." % CSV_PATHS)
+        help="Input *.csv files.")
     parser.add_argument(
         '-q', '--quiet',
         action='store_true',