It would seem that I have far too much time on my hands. After the post about a Star Trek "test", I started wondering if there could be any data to back it up and... well here we go:
Those Old Scientists
Name |
Total Lines |
Percentage of Lines |
KIRK |
8257 |
32.89 |
SPOCK |
3985 |
15.87 |
MCCOY |
2334 |
9.3 |
SCOTT |
912 |
3.63 |
SULU |
634 |
2.53 |
UHURA |
575 |
2.29 |
CHEKOV |
417 |
1.66 |
The Next Generation
Name |
Total Lines |
Percentage of Lines |
PICARD |
11175 |
20.16 |
RIKER |
6453 |
11.64 |
DATA |
5599 |
10.1 |
LAFORGE |
3843 |
6.93 |
WORF |
3402 |
6.14 |
TROI |
2992 |
5.4 |
CRUSHER |
2833 |
5.11 |
WESLEY |
1285 |
2.32 |
Deep Space Nine
Name |
Total Lines |
Percentage of Lines |
SISKO |
8073 |
13.0 |
KIRA |
5112 |
8.23 |
BASHIR |
4836 |
7.79 |
O'BRIEN |
4540 |
7.31 |
ODO |
4509 |
7.26 |
QUARK |
4331 |
6.98 |
DAX |
3559 |
5.73 |
WORF |
1976 |
3.18 |
JAKE |
1434 |
2.31 |
GARAK |
1420 |
2.29 |
NOG |
1247 |
2.01 |
ROM |
1172 |
1.89 |
DUKAT |
1091 |
1.76 |
EZRI |
953 |
1.53 |
Voyager
Name |
Total Lines |
Percentage of Lines |
JANEWAY |
10238 |
17.7 |
CHAKOTAY |
5066 |
8.76 |
EMH |
4823 |
8.34 |
PARIS |
4416 |
7.63 |
TUVOK |
3993 |
6.9 |
KIM |
3801 |
6.57 |
TORRES |
3733 |
6.45 |
SEVEN |
3527 |
6.1 |
NEELIX |
2887 |
4.99 |
KES |
1189 |
2.06 |
Enterprise
Name |
Total Lines |
Percentage of Lines |
ARCHER |
6959 |
24.52 |
T'POL |
3715 |
13.09 |
TUCKER |
3610 |
12.72 |
REED |
2083 |
7.34 |
PHLOX |
1621 |
5.71 |
HOSHI |
1313 |
4.63 |
TRAVIS |
1087 |
3.83 |
SHRAN |
358 |
1.26 |
Discovery
Important Note: As the source material is incomplete for Discovery, the following table only includes line counts from seasons 1 and 4 along with a single episode of season 2.
Name |
Total Lines |
Percentage of Lines |
BURNHAM |
2162 |
22.92 |
SARU |
773 |
8.2 |
BOOK |
586 |
6.21 |
STAMETS |
513 |
5.44 |
TILLY |
488 |
5.17 |
LORCA |
471 |
4.99 |
TARKA |
313 |
3.32 |
TYLER |
300 |
3.18 |
GEORGIOU |
279 |
2.96 |
CULBER |
267 |
2.83 |
RILLAK |
205 |
2.17 |
DETMER |
186 |
1.97 |
OWOSEKUN |
169 |
1.79 |
ADIRA |
154 |
1.63 |
COMPUTER |
152 |
1.61 |
ZORA |
151 |
1.6 |
VANCE |
101 |
1.07 |
CORNWELL |
101 |
1.07 |
SAREK |
100 |
1.06 |
T'RINA |
96 |
1.02 |
If anyone is interested, here's the (rather hurried, don't judge me) Python used:
#!/usr/bin/env python
#
# This script assumes that you've already downloaded all the episode lines from
# the fantastic chakoteya.net:
#
# wget --accept=html,htm --relative --wait=2 --include-directories=/STDisco17/ http://www.chakoteya.net/STDisco17/episodes.html -m
# wget --accept=html,htm --relative --wait=2 --include-directories=/Enterprise/ http://www.chakoteya.net/Enterprise/episodes.htm -m
# wget --accept=html,htm --relative --wait=2 --include-directories=/Voyager/ http://www.chakoteya.net/Voyager/episode_listing.htm -m
# wget --accept=html,htm --relative --wait=2 --include-directories=/DS9/ http://www.chakoteya.net/DS9/episodes.htm -m
# wget --accept=html,htm --relative --wait=2 --include-directories=/NextGen/ http://www.chakoteya.net/NextGen/episodes.htm -m
# wget --accept=html,htm --relative --wait=2 --include-directories=/StarTrek/ http://www.chakoteya.net/StarTrek/episodes.htm -m
#
# Then you'll probably have to convert the following files to UTF-8 as they
# differ from the rest:
#
# * Voyager/709.htm
# * Voyager/515.htm
# * Voyager/416.htm
# * Enterprise/41.htm
#
import re
from collections import defaultdict
from pathlib import Path
EPISODE_REGEX = re.compile(r"^\d+\.html?$")
LINE_REGEX = re.compile(r"^(?P<name>[A-Z']+): ")
EPISODES = Path("www.chakoteya.net")
DISCO = EPISODES / "STDisco17"
ENT = EPISODES / "Enterprise"
TNG = EPISODES / "NextGen"
TOS = EPISODES / "StarTrek"
DS9 = EPISODES / "DS9"
VOY = EPISODES / "Voyager"
NAMES = {
TOS.name: "Those Old Scientists",
TNG.name: "The Next Generation",
DS9.name: "Deep Space Nine",
VOY.name: "Voyager",
ENT.name: "Enterprise",
DISCO.name: "Discovery",
}
class CharacterLines:
def __init__(self, path: Path) -> None:
self.path = path
self.line_count = defaultdict(int)
def collect(self) -> None:
for episode in self.path.glob("*.htm*"):
if EPISODE_REGEX.match(episode.name):
for line in episode.read_text().split("\n"):
if m := LINE_REGEX.match(line):
self.line_count[m.group("name")] += 1
@property
def as_tablular_data(self) -> tuple[tuple[str, int, float], ...]:
total = sum(self.line_count.values())
r = []
for k, v in self.line_count.items():
percentage = round(v * 100 / total, 2)
if percentage > 1:
r.append((str(k), v, percentage))
return tuple(reversed(sorted(r, key=lambda _: _[2])))
def render(self) -> None:
print(f"\n\n# {NAMES[self.path.name]}\n")
print("| Name | Total Lines | Percentage of Lines |")
print("| ---------------- | :---------: | ------------------: |")
for character, total, pct in self.as_tablular_data:
print(f"| {character:16} | {total:11} | {pct:19} |")
if __name__ == "__main__":
for series in (TOS, TNG, DS9, VOY, ENT, DISCO):
counter = CharacterLines(series)
counter.collect()
counter.render()
Hey there friend. You need to learn to park or stop driving. Seriously, you're endangering lives for your convenience. You get the whole damned road while everyone else is allocated the slightest fraction to safeguard ourselves from drunks, assholes, and morons pushing two tonnes of steel and glass at 60mph while they stare at their phones and you think it's ok to push kids on bikes into that channel of death because you can't be bothered to look for a legit parking spot? I get that your employer is pressuring you for better times, but you're literally breaking the law and that law exists for a reason.
Every one of the 4 of the drivers I saw that day were parking on the cycle lane when they had multiple more reasonable options available to them:
What you're doing is lazy, selfish, and dangerous. Those cycle lanes are barely safe as they are without constantly being blocked by selfish people who think that they double as a parking space. You already have nearly the entirety of the city for your vehicle. Leave these alone.