-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathgenerate.py
97 lines (83 loc) · 3.26 KB
/
generate.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
import os
from itertools import chain, islice
def chunked_even(lst, n):
# type: (list, int) -> list
N = len(lst)
if N < 1:
return []
# Lists are either size `full_size <= n` or `partial_size = full_size - 1`
q, r = divmod(N, n)
num_lists = q + (1 if r > 0 else 0)
q, r = divmod(N, num_lists)
full_size = q + (1 if r > 0 else 0)
partial_size = full_size - 1
num_full = N - partial_size * num_lists
num_partial = num_lists - num_full
chunks = [] # type: (list)
# Append num_full lists of full_size
partial_start_idx = num_full * full_size
if full_size > 0:
chunks += chain(
[
(list(islice(lst, i, i + full_size)))
for i in range(0, partial_start_idx, full_size)
]
)
# Append num_partial lists of partial_size
if partial_size > 0:
chunks += chain(
[
list(islice(lst, i, i + partial_size))
for i in range(
partial_start_idx,
partial_start_idx + (num_partial * partial_size),
partial_size,
)
]
)
return chunks
def extract_words(is_vic20=False):
# type: (bool) -> tuple[list[str], list[str]]
with open("eff_short_wordlist_2_0.txt", "r") as f:
lines = f.read().splitlines()
words = [line.split("\t")[1] for line in lines]
data_lines = []
for row in chunked_even(words, 3 if is_vic20 else 6):
data_lines.append("dA" + ",".join('"%s"' % word for word in row))
return data_lines, words
def read_data_line(words, is_vic20=False, is_x16=False):
# type: (list[str], bool, bool) -> list[str]
if is_vic20 and is_x16:
raise ValueError("Both `is_vic20` and `is_x16` cannot be set to True")
if is_vic20:
return ["0bs=%d:dimo$(bs)" % len(words), "1fori=1tobs:reado$(i):next"]
if is_x16:
return ["0dimo$(%d):fori=1to%d:reado$(i):next" % (len(words), len(words))]
return ["0bksize=%d:dimo$(bksize):fori=1tobksize:reado$(i):next" % len(words)]
if __name__ == "__main__":
data_lines, words = extract_words()
data_lines_vic20, _ = extract_words(is_vic20=True)
partials = [
{"filename": "partial_c64.bas", "lines": []},
{"filename": "partial_c128.bas", "lines": []},
{"filename": "partial_cbm2_pet.bas", "lines": []},
{"filename": "partial_cbm5x0.bas", "lines": []},
{"filename": "partial_plus4.bas", "lines": []},
{"filename": "partial_vic20.bas", "lines": []},
{"filename": "partial_x16.bas", "lines": []},
] # type: list[dict]
for partial in partials:
is_vic20 = partial["filename"] == "partial_vic20.bas"
is_x16 = partial["filename"] == "partial_x16.bas"
with open("internal%s%s" % (os.sep, partial["filename"]), "r") as f:
partial["lines"] = f.read().splitlines()[2:]
with open(
"src%s%s" % (os.sep, partial["filename"].replace("partial_", "")), "w"
) as f:
f.write(
"\n".join(
read_data_line(words, is_vic20, is_x16)
+ partial["lines"]
+ (data_lines_vic20 if is_vic20 else data_lines)
)
)