from json import loads
from os import listdir
-DNAME = "out"
+TITLE = ""
+DNAME = "/home/jiri/phd/measurements/iamcar2_uniform-dist-sampling"
+PNAME = [i for i in range(0, 10)]
+PNAME += [chr(i) for i in range(97, 123)]
+PNAME = [
+ 0,
+ "L1R", "L1E", "L1M", "L1H",
+ "G2R", "G2E", "G2M", "G2H",
+ "T2R", "T2E", "T2M", "T2H",
+ "G3R", "G3E", "G3M", "G3H",
+ "T3R", "T3E", "T3M", "T3H",
+]
+PNAME = [
+ 0,
+ "T3H",
+]
+
+def sort_dict(f):
+ """Sort dict returned by ``f``."""
+ def w(*args, **kwargs):
+ d = f(*args, **kwargs)
+ d = {k: v for k, v in sorted(d.items(), key=lambda i: i[0])}
+ return d
+ return w
def load(fname):
"""Load scenario from file.
"""
if dname is None:
raise ValueError("Directory name as argument needed")
+ global TITLE
+ TITLE = dname
scenarios = []
for d in listdir(dname):
for f in listdir("{}/{}".format(dname, d)):
s = load("{}/{}/{}".format(dname, d, f))
s["dname"] = dname
s["subdname"] = d
- s["fname"] = f
+ s["fname"] = f.split(".json")[0]
scenarios.append(s)
return scenarios
-def grep_all(what="time"):
+def load_multidir(dname=DNAME):
+ """Load scenarios from directories in ``dname``.
+
+ Keyword arguments:
+ dname -- Directory name.
+ """
+ if dname is None:
+ raise ValueError("Directory name as argument needed")
+ global TITLE
+ TITLE = dname
+ s = []
+ if isinstance(dname, list):
+ for d in dname:
+ s += load_dir(d)
+ else:
+ s = load_dir(dname)
+ return s
+
+@sort_dict
+def grep(what="time", grep_all=False):
"""Return the dictionary of ``fname``'s and corresponding list of values.
If ``what`` not present, use ``-1`` instead.
Keyword arguments:
what -- What to filter.
+ grep_all -- Add ``-1`` if ``what`` not in scenario.
"""
filtered = {}
- scenarios = load_dir(DNAME)
+ scenarios = load_multidir(DNAME)
for s in scenarios:
if s["fname"] not in filtered:
filtered[s["fname"]] = []
- if what in s:
+ if what in s and s[what] < 9999:
filtered[s["fname"]].append(s[what])
- else:
+ elif grep_all:
filtered[s["fname"]].append(-1)
return filtered
-def grep(what="time"):
+def greps(what="time", grep_all=False):
"""Return the dictionary of ``fname``'s and corresponding list of values.
+ If ``what`` not present, use ``-1`` instead.
+
Keyword arguments:
what -- What to filter.
+ grep_all -- Add ``-1`` if ``what`` not in scenario.
"""
filtered = {}
- scenarios = load_dir(DNAME)
+ scenarios = load_multidir(DNAME)
for s in scenarios:
if s["fname"] not in filtered:
- filtered[s["fname"]] = []
+ filtered[s["fname"]] = {}
if what in s:
- filtered[s["fname"]].append(s[what])
+ filtered[s["fname"]][int(s["subdname"])] = s[what]
return filtered
+
+def error_rate():
+ """Return the dictionary of ``fname``'s and corresponding error rates."""
+ f = grep("cost", True)
+ e = {}
+ for k, v in f.items():
+ dones = [1 for c in v if c < 9999 and c > 0]
+ e[k] = 100 * (len(v) - len(dones)) / len(v)
+ e2 = {}
+ i = 1
+ for k, v in e.items():
+ e2[PNAME[i]] = v
+ i += 1
+ return [e2]
+
+def time():
+ """Return the dictionary of ``fname``'s and corresponding times."""
+ r = grep("time")
+ r2 = {}
+ i = 1
+ for k, v in r.items():
+ r2[k] = v
+ i += 1
+ r = grep("otime")
+ for k, v in r.items():
+ if len(v) > 0:
+ r2["opt. {}".format(k)] = v
+ return r2
+
+def otime():
+ """Return the dictionary of ``fname``'s and corresponding opt. times."""
+ r = grep("otime")
+ r2 = {}
+ i = 1
+ for k, v in r.items():
+ r2[k] = v
+ i += 1
+ return r2
+
+def cost():
+ """Return the dictionary of ``fname``'s and corresponding costs."""
+ r = grep("cost")
+ r2 = {}
+ i = 1
+ for k, v in r.items():
+ r2[PNAME[i]] = v
+ i += 1
+ return r2
+
+def costs():
+ """Return the dictionary of ``fname``'s and corresponding costs."""
+ r = greps("log_path_cost")
+ r2 = {}
+ M = 0
+ MV = 0
+ it = {}
+ for k, v in r.items():
+ for k2, v2 in v.items():
+ M = max(M, len(v2))
+ for k, v in r.items():
+ for k2, v2 in v.items():
+ if len(v2) == M:
+ it[k2] = v2
+ else:
+ MV = max(MV, M - len(v2))
+ it[k2] = [0 for i in range(M - len(v2))]
+ it[k2].extend(v2)
+ r2[PNAME[1]] = it
+ r = greps("path_cost_before_opt")
+ r3 = {}
+ i = 1
+ for k, v in r.items():
+ r3[PNAME[i]] = v
+ i += 1
+ r = greps("iterations")
+ r4 = {}
+ i = 1
+ for k, v in r.items():
+ r4[PNAME[i]] = v
+ i += 1
+ return [r2, r3, r4]
+
+def orig_cost():
+ """Return the dictionary of ``fname``'s and corresponding orig. costs."""
+ r = grep("orig_path_cost")
+ r2 = {}
+ i = 1
+ for k, v in r.items():
+ r2[PNAME[i]] = v
+ i += 1
+ return r2
+
+def cusp():
+ """Return the dictionary of ``fname``'s and corresponding cusps."""
+ r = grep("cusps-in-path")
+ r2 = {}
+ i = 1
+ for k, v in r.items():
+ r2[PNAME[i]] = v
+ i += 1
+ return r2
+
+def orig_cusp():
+ """Return the dictionary of ``fname``'s and corresponding cusps."""
+ r = grep("orig_cusps-in-path")
+ r2 = {}
+ i = 1
+ for k, v in r.items():
+ r2[PNAME[i]] = v
+ i += 1
+ return r2
+
+def iter():
+ """Return the dictionary of ``fname``'s and number of iterations."""
+ r = grep("iterations")
+ r2 = {}
+ i = 1
+ for k, v in r.items():
+ r2[PNAME[i]] = v
+ i += 1
+ return r2
+
+def log_path_cost():
+ """Return the dictionary of ``fname``'s and logged path costs."""
+ r = grep("log_path_cost")
+ r2 = {}
+ i = 1
+ for k, v in r.items():
+ r2[PNAME[i]] = v
+ i += 1
+ return r2
projects / hubacji1 / iamcar2.git / blobdiff