def show_score(self, head, wpm_score, stats, cpm_flag):
"""Show score screen after typing has finished."""
if not self.redraw:
return
self.update_header(head)
self.update_quote(Screen.COLOR_CORRECT)
self.update_author()
# Highlight score
if cpm_flag:
wpm_score = wpm_to_cpm(wpm_score)
score = "You scored %.1f CPM!" % wpm_score
else:
score = "You scored %.1f WPM!" % wpm_score
self.update_prompt(score)
if len(score) < self.columns:
self.chgat(11, self.cheight, len(str("%.1f" % wpm_score)),
Screen.COLOR_HISCORE)
self.show_help()
self.show_stats(stats, cpm_flag)
self.set_cursor(0, 2)
self.redraw = False
def show_stats(self, stats, cpm_flag):
"""Shows statistics for the current quote."""
results = stats.text_id_results(stats.tag, self.quote_id)
if len(results) < 2:
return
percent = self.config.wpm.confidence_level
assert 0.0 <= percent <= 1.0
alpha = 1.0 - percent
samples = len(results)
wpm_avg, acc_avg = results.averages()
wpm_sd, acc_sd = results.stddevs()
wpm_min, wpm_max, acc_min, acc_max = results.extremals()
wpm_ci0, wpm_ci1 = confidence_interval(wpm_avg, wpm_sd, samples, alpha)
wpm_pi0, wpm_pi1 = prediction_interval(wpm_avg, wpm_sd, alpha)
acc_ci0, acc_ci1 = confidence_interval(acc_avg, acc_sd, samples, alpha)
acc_pi0, acc_pi1 = prediction_interval(acc_avg, acc_sd, alpha)
if cpm_flag:
wpm_avg = wpm_to_cpm(wpm_avg)
wpm_sd = wpm_to_cpm(wpm_sd)
wpm_min = wpm_to_cpm(wpm_min)
wpm_max = wpm_to_cpm(wpm_max)
wpm_ci0 = wpm_to_cpm(wpm_ci0)
wpm_ci1 = wpm_to_cpm(wpm_ci1)
wpm_pi0 = wpm_to_cpm(wpm_pi0)
wpm_pi1 = wpm_to_cpm(wpm_pi1)
if cpm_flag:
msg = "cpm %5.1f min %5.1f avg %5.1f max %5.1f sd %2d%% ci [%5.1f-%5.1f] [%5.1f-%5.1f] pi (n=%d)"
else:
msg = "wpm %5.1f min %5.1f avg %5.1f max %5.1f sd %2d%% ci [%5.1f-%5.1f] [%5.1f-%5.1f] pi (n=%d)"
msg %= (wpm_min, wpm_avg, wpm_max, wpm_sd, 100 * percent, wpm_ci0,
wpm_ci1, wpm_pi0, wpm_pi1, samples)
self.cheight += 2
self.addstr(0, self.cheight, msg, Screen.COLOR_CORRECT)
msg = "acc %5.1f min %5.1f avg %5.1f max %5.1f sd %2d%% ci [%5.1f %5.1f] [%5.1f %5.1f] pi (n=%d)" % (
100 * acc_min, 100 * acc_avg, 100 * acc_max, 100 * acc_sd,
100 * percent, 100 * acc_ci0, 100 * acc_ci1, 100 * acc_pi0,
100 * acc_pi1, samples)
self.cheight += 1
self.addstr(0, self.cheight, msg, Screen.COLOR_CORRECT)
self.cheight += 1
if devfeature.histogram:
self.show_histogram(stats)
def print_stats(stats, cpm):
"""Prints table of game results."""
table = []
config = wpm.config.Config()
percent = config.wpm.confidence_level
for tag in sorted(stats.games.keys()):
name = tag if tag is not None else "n/a"
for last_n in [0, 10, 50, 100, 500, 1000]:
results = stats.results(tag, last_n=last_n)
if len(results) >= last_n:
if last_n == 0:
label = len(results)
else:
label = "n-%d" % last_n
avg, acc_avg = results.averages()
sd, acc_sd = results.stddevs()
if cpm:
avg = wpm_to_cpm(avg)
sd = wpm_to_cpm(sd)
alpha = 1.0 - percent
ci = confidence_interval(avg, sd, len(results), alpha)
pi = prediction_interval(avg, sd, alpha)
table.append([name,
label,
avg,
sd,
100.0*acc_avg,
100.0*acc_sd,
ci[0],
ci[1],
pi[0],
pi[1]])
if table:
width = max(max(len(e[0]) for e in table), 11)
else:
width = 0
head0 = "Tag Games %s Accuracy" % ("CPM" if cpm else "WPM")
head1 = " avg sd %2d%% ci %2d%% pi avg sd " % (100*percent, 100*percent)
if cpm:
head0 += " "
head1 += " "
print("="*len(head1))
print(head0)
print(head1)
print("-"*len(head1))
for entry in table:
label, count, avg, sd, acc_avg, acc_sd, ci0, ci1, pi0, pi1 = entry
if cpm:
print("%-*s %6s %7.1f %7.1f %7.1f-%7.1f %7.1f-%7.1f %5.1f%% %5.1f%%" %
(width, label, count, avg, sd, ci0, ci1, pi0, pi1, acc_avg, acc_sd))
else:
print("%-*s %6s %5.1f %5.1f %5.1f-%5.1f %5.1f-%5.1f %5.1f%% %5.1f%%" %
(width, label, count, avg, sd, ci0, ci1, pi0, pi1, acc_avg, acc_sd))
print("="*len(head1))
def print_stats(stats, cpm):
"""Prints table of game results."""
table = []
config = wpm.config.Config()
percent = config.wpm.confidence_level
for tag in sorted(stats.games.keys()):
name = tag if tag is not None else "n/a"
for last_n in [0, 10, 50, 100, 500, 1000]:
results = stats.results(tag, last_n=last_n)
if len(results) >= last_n:
if last_n == 0:
label = len(results)
else:
label = "n-%d" % last_n
avg, acc_avg = results.averages()
sd, acc_sd = results.stddevs()
if cpm:
avg = wpm_to_cpm(avg)
sd = wpm_to_cpm(sd)
alpha = 1.0 - percent
ci = confidence_interval(avg, sd, len(results), alpha)
pi = prediction_interval(avg, sd, alpha)
table.append([name,
label,
avg,
sd,
100.0*acc_avg,
100.0*acc_sd,
ci[0],
ci[1],
pi[0],
pi[1]])
if table:
width = max(max(len(e[0]) for e in table), 11)
else:
width = 0
head0 = "Tag Gajes %s Accuracy" % ("CPM" if cpm else "WPM")
head1 = " avg sd %2d%% ci %2d%% pi avg sd " % (100*percent, 100*percent)
if cpm:
head0 += " "
head1 += " "
print("="*len(head1))
print(head0)
print(head1)
print("-"*len(head1))
for entry in table:
label, count, avg, sd, acc_avg, acc_sd, ci0, ci1, pi0, pi1 = entry
if cpm:
print("%-*s %6s %7.1f %7.1f %7.1f-%7.1f %7.1f-%7.1f %5.1f%% %5.1f%%" %
(width, label, count, avg, sd, ci0, ci1, pi0, pi1, acc_avg, acc_sd))
else:
print("%-*s %6s %5.1f %5.1f %5.1f-%5.1f %5.1f-%5.1f %5.1f%% %5.1f%%" %
(width, label, count, avg, sd, ci0, ci1, pi0, pi1, acc_avg, acc_sd))
print("="*len(head1))