Repository navigation
Expand file tree
/
Copy pathbm25.py
More file actions
177 lines (153 loc) · 8 KB
/
Copy pathbm25.py
File metadata and controls
177 lines (153 loc) · 8 KB
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
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
from rank_bm25 import BM25Okapi
from multiprocessing import Pool
from collections import defaultdict
from typing import List
from datasets import CodeBlock
from functools import partial
import math
import logging
logging.basicConfig(format='%(asctime)s - %(levelname)s - %(name)s - %(message)s', datefmt='%m/%d/%Y %H:%M:%S', level=logging.INFO)
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
def split_into_smaller_blocks(code_block, enable_fixed_block):
"""
Split large blocks of code into smaller ones, each containing no more than 12 non-empty lines.
"""
smaller_blocks = []
if enable_fixed_block:
lines = [line for line in code_block.code_content.split('\n') if line.strip() != '']
for i in range(0, min(len(lines),5000), 12):
start_line_offset = i
end_line_offset = min(i + 12, len(lines))
block_content = '\n'.join(lines[start_line_offset:end_line_offset])
smaller_blocks.append(CodeBlock(code_block.file_path,
f"file path: {code_block.file_path}\nlines: {start_line_offset}-{end_line_offset - 1}",
block_content,
code_block.language,
'fixed_block'))
else:
# Split the code by spaces, then reassemble it into blocks.
mini_blocks = []
current_block = []
for line in code_block.code_content.splitlines():
if line.strip() == '':
if current_block:
mini_blocks.append(current_block)
current_block = []
else:
current_block.append(line)
if current_block:
mini_blocks.append(current_block)
max_len = 15
temp_mini_blocks = []
for mini_block in mini_blocks:
if len(mini_block) > max_len:
for idx in range(0, len(mini_block), max_len):
temp_mini_blocks.append(mini_block[idx: idx+max_len])
else:
temp_mini_blocks.append(mini_block)
mini_blocks = temp_mini_blocks
current_content = []
total_lines = 0
for block in mini_blocks:
if total_lines >= 5000:
break
if len(current_content) + len(block) <= 15:
current_content.extend(block)
total_lines += len(block)
else:
if current_content:
smaller_blocks.append(CodeBlock(code_block.file_path,
f"file path: {code_block.file_path}\nlines: {total_lines-len(current_content)+1}-{total_lines}",
'\n'.join(current_content),
code_block.language,
'mini_block'))
current_content = block
total_lines += len(block)
if current_content:
smaller_blocks.append(CodeBlock(code_block.file_path,
f"file path: {code_block.file_path}\nlines: {total_lines-len(current_content)+1}-{total_lines}",
'\n'.join(current_content),
code_block.language,
'mini_block'))
return smaller_blocks
class TaskSpecificBM25:
def __init__(self, examples, args):
self.bm25_indices = {}
self.code_blocks = {}
self._build_indices(examples, args)
self.args = args
def _build_indices(self, examples, args):
num_processes = 32
num_examples_per_batch = math.ceil(len(examples) / num_processes)
example_batches = [examples[i:i + num_examples_per_batch] for i in range(0, len(examples), num_examples_per_batch)]
with Pool(processes=num_processes) as pool:
# results = pool.map(self._process_batch, example_batches, args.enable_fixed_block)
# results = pool.map(lambda batch: self._process_batch(batch, args.enable_fixed_block), example_batches)
from functools import partial
partial_process_batch = partial(self._process_batch, enable_fixed_block=args.enable_fixed_block)
results = pool.map(partial_process_batch, example_batches)
for batch_result in results:
for task_id, code_blocks, bm25_index in batch_result:
self.bm25_indices[task_id] = bm25_index
self.code_blocks[task_id] = code_blocks
block_len = 0
block_num = 0
for task_id, code_blocks in self.code_blocks.items():
block_num += len(code_blocks)
for code_block in code_blocks:
block_len += len(code_block.code_content.splitlines())
logger.info(f'Block avg line: {round(block_len / block_num, 2)}')
@staticmethod
def _process_batch(batch, enable_fixed_block):
batch_result = []
for example in batch:
code_blocks = []
for code_block in example.related_files:
code_blocks.extend(split_into_smaller_blocks(code_block, enable_fixed_block))
bm25_index = None
if len(code_blocks) != 0:
bm25_index = BM25Okapi([code_block.code_content.lower().split() for code_block in code_blocks])
batch_result.append((example.task_id, code_blocks, bm25_index))
return batch_result
def query(self, task_ids: List[int], queries: List[str], topk: int):
results = []
for task_id, query in zip(task_ids, queries):
bm25_index = self.bm25_indices.get(task_id)
if bm25_index:
query_tokens = query.split()
scores = bm25_index.get_scores(query_tokens)
# topk_indices = sorted(range(len(scores)), key=lambda i: scores[i], reverse=True)[:topk]
# task_results = [self.code_blocks[task_id][i] for i in topk_indices]
# results.append(task_results)
# ||
# \||/
# \/
sorted_indices = sorted(range(len(scores)), key=lambda i: scores[i], reverse=True)
fixed_block_indices = []
signature_block_indices = []
full_func_block_indices = []
mini_block_indices = []
for i in sorted_indices:
block = self.code_blocks[task_id][i]
if block._type == "fixed_block":
fixed_block_indices.append(i)
elif block._type == "signature_block":
signature_block_indices.append(i)
elif block._type == "full_func_block":
full_func_block_indices.append(i)
elif block._type == "mini_block":
mini_block_indices.append(i)
topk_fixed_blocks = [self.code_blocks[task_id][i] for i in fixed_block_indices[:topk]]
# topk_signature_blocks = [self.code_blocks[task_id][i] for i in signature_block_indices[:topk]]
# topk_full_func_blocks = [self.code_blocks[task_id][i] for i in full_func_block_indices[:topk]]
topk_mini_blocks = [self.code_blocks[task_id][i] for i in mini_block_indices[:topk]]
if self.args.enable_fixed_block:
task_results = topk_fixed_blocks
else:
task_results = topk_mini_blocks
results.append(task_results)
else:
results.append([])
#results.append([CodeBlock("__init__.py", 0, 0, "") for _ in range(topk+1)])
return results