Refactored project structure; Caching util; process_clang_output.py provides Python API now
This commit is contained in:
Maximilian Schmeller
parent
71fe4626f7
commit
dc689174c0
10 changed files with 906 additions and 722 deletions
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@ -1,439 +0,0 @@
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import functools
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import json
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import os
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import pickle
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import re
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from dataclasses import dataclass
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from typing import Tuple, List, Literal, Iterable
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import numpy as np
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import pandas as pd
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import termcolor
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IN_DIR = "/home/max/Projects/llvm-project/clang-tools-extra/ros2-internal-dependency-checker/output"
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SRC_DIR = "/home/max/Projects/autoware/src"
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OUT_NAME = "clang_objects.pkl"
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def SRC_FILE_NAME(in_file_name: str):
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return os.path.join(SRC_DIR, in_file_name.replace("-", "/").replace(".json", ".cpp"))
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ignored_idfs = set()
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class SetEncoder(json.JSONEncoder):
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def default(self, o):
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if isinstance(o, set):
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return list(o)
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match o:
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case set():
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return list(o)
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case list() | dict() | int() | float() | str():
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return json.JSONEncoder.default(self, o)
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case np.int64:
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return json.JSONEncoder.default(self, int(o))
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return json.JSONEncoder.default(self, o)
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def fuse_fields(f1, f2):
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if f1 is None:
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return f2
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if f2 is None:
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return f1
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if f1 == f2:
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return f1
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raise ValueError(f"Inconsistent fields {f1=} and {f2=} cannot be fused")
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def fuse_objects(o1, o2):
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field_names = o1.__dataclass_fields__.keys()
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for f in field_names:
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setattr(o1, f, fuse_fields(getattr(o1, f), getattr(o2, f)))
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return o1
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@dataclass
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class SourceRange:
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start_file: str
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start_line: int | None
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start_col: int | None
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end_file: str
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end_line: int | None
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end_col: int | None
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def __init__(self, json_obj):
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begin = json_obj["begin"].split(":")
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end = json_obj["end"].split(":")
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self.start_file = os.path.realpath(begin[0])
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self.start_line = int(begin[1]) if len(begin) > 1 else None
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self.start_col = int(begin[2].split(" ")[0]) if len(begin) > 2 else None
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self.end_file = os.path.realpath(end[0])
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self.end_line = int(end[1]) if len(end) > 1 else None
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self.end_col = int(end[2].split(" ")[0]) if len(end) > 2 else None
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def __hash__(self):
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return hash((self.start_file, self.start_line, self.start_col,
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self.end_file, self.end_line, self.end_col))
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@dataclass
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class Node:
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id: int
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qualified_name: str
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source_range: 'SourceRange'
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field_ids: List[int] | None
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method_ids: List[int] | None
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def __init__(self, json_obj):
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self.id = json_obj['id']
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self.qualified_name = json_obj['id']
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self.source_range = SourceRange(json_obj['source_range'])
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self.field_ids = list(map(lambda obj: obj['id'], json_obj['fields'])) if 'fields' in json_obj else None
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self.method_ids = list(map(lambda obj: obj['id'], json_obj['methods'])) if 'methods' in json_obj else None
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def __hash__(self):
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return hash(self.id)
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@dataclass
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class Method:
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id: int
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qualified_name: str
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source_range: 'SourceRange'
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return_type: str | None
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parameter_types: List[str] | None
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def __init__(self, json_obj):
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self.id = json_obj['id']
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self.qualified_name = json_obj['qualified_name']
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self.source_range = SourceRange(json_obj['source_range'])
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self.return_type = json_obj['signature']['return_type'] if 'signature' in json_obj else None
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self.parameter_types = json_obj['signature']['parameter_types'] if 'signature' in json_obj else None
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def __hash__(self):
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return hash(self.id)
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@dataclass
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class Field:
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id: int
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qualified_name: str
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source_range: 'SourceRange'
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def __init__(self, json_obj):
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self.id = json_obj['id']
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self.qualified_name = json_obj['qualified_name']
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self.source_range = SourceRange(json_obj['source_range'])
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def __hash__(self):
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return hash(self.id)
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@dataclass
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class MemberRef:
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type: Literal["read", "write", "call", "arg", "pub"] | None
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member_chain: List[int]
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method_id: int | None
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node_id: int | None
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source_range: 'SourceRange'
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def __init__(self, json_obj):
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access_type = json_obj['context']['access_type']
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if access_type == 'none':
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access_type = None
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self.type = access_type
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self.member_chain = list(map(lambda obj: obj['id'], json_obj['member'][::-1]))
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self.method_id = json_obj['context']['method']['id'] if 'method' in json_obj['context'] else None
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self.node_id = json_obj['context']['node']['id'] if 'node' in json_obj['context'] else None
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self.source_range = SourceRange(json_obj['context']['statement']['source_range'])
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def __hash__(self):
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return self.source_range.__hash__()
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@dataclass
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class Subscription:
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topic: str | None
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callback_id: int | None
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source_range: 'SourceRange'
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def __init__(self, json_obj):
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self.topic = json_obj['topic'] if 'topic' in json_obj else None
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self.callback_id = json_obj['callback']['id'] if 'callback' in json_obj else None
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self.source_range = SourceRange(json_obj['source_range'])
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def __hash__(self):
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return self.source_range.__hash__()
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@dataclass
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class Publisher:
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topic: str | None
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member_id: int | None
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source_range: 'SourceRange'
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def update(self, t2: 'Timer'):
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return self
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def __init__(self, json_obj):
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self.topic = json_obj['topic'] if 'topic' in json_obj else None
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self.member_id = json_obj['member']['id'] if 'member' in json_obj else None
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self.source_range = SourceRange(json_obj['source_range'])
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def __hash__(self):
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return self.source_range.__hash__()
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@dataclass
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class Timer:
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callback_id: int | None
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source_range: 'SourceRange'
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def __init__(self, json_obj):
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self.callback_id = json_obj['callback']['id'] if 'callback' in json_obj else None
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self.source_range = SourceRange(json_obj['source_range'])
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def __hash__(self):
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return self.source_range.__hash__()
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def find_data_deps(nodes: Iterable[Node], pubs: Iterable[Publisher], subs: Iterable[Subscription],
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timers: Iterable[Timer], fields, methods, accesses: Iterable[MemberRef]):
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writes = set()
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reads = set()
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publications = set()
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for member_ref in accesses:
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member_id = member_ref.member_chain[0] if member_ref.member_chain else None
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if member_id is None:
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print(f"[WARN ] MemberRef without any members in chain @ {member_ref.source_range}")
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continue
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dep_tuple = (member_ref.method_id, member_id)
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match member_ref.type:
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case "write":
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writes.add(dep_tuple)
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case "read":
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reads.add(dep_tuple)
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case "call" | "arg":
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writes.add(dep_tuple)
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reads.add(dep_tuple)
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case "pub":
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publications.add(dep_tuple)
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reads = pd.DataFrame.from_records(list(reads), columns=['method_id', 'member_id'])
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writes = pd.DataFrame.from_records(list(writes), columns=['method_id', 'member_id'])
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pub_dict = {method: set() for method, _ in publications}
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for method, member in publications:
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pub_dict[method].add(member)
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deps = {}
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for reading_method in reads["method_id"].unique().tolist():
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deps[reading_method] = set()
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read_members = reads[reads['method_id'] == reading_method]["member_id"].unique().tolist()
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for read_member in read_members:
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writing_methods = writes[writes['member_id'] == read_member]['method_id'].unique().tolist()
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deps[reading_method].update(writing_methods)
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deps[reading_method].discard(reading_method) # Remove reflexive dependencies
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return publications, deps
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def dedup(elems):
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hash_map = {}
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for e in elems:
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if e.__hash__() not in hash_map:
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hash_map[e.__hash__()] = []
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hash_map[e.__hash__()].append(e)
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ret_list = []
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for hash, elems in hash_map.items():
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if len(elems) == 1:
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ret_list += elems
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continue
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elem = functools.reduce(fuse_objects, elems[1:], elems[0])
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ret_list.append(elem)
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print(f"Fused {len(elems)} {type(elem)}s")
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return ret_list
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def definitions_from_json(cb_dict):
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nodes = []
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pubs = []
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subs = []
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timers = []
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accesses = []
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fields = []
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methods = []
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if "nodes" in cb_dict:
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for node in cb_dict["nodes"]:
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nodes.append(Node(node))
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for field in node["fields"]:
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fields.append(Field(field))
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for method in node["methods"]:
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methods.append(Method(method))
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if "publishers" in cb_dict:
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for publisher in cb_dict["publishers"]:
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pubs.append(Publisher(publisher))
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if "subscriptions" in cb_dict:
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for subscription in cb_dict["subscriptions"]:
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subs.append(Subscription(subscription))
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if "timers" in cb_dict:
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for timer in cb_dict["timers"]:
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timers.append(Timer(timer))
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if "accesses" in cb_dict:
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for access_type in cb_dict["accesses"]:
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for access in cb_dict["accesses"][access_type]:
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accesses.append(MemberRef(access))
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nodes = dedup(nodes)
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pubs = dedup(pubs)
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subs = dedup(subs)
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timers = dedup(timers)
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fields = dedup(fields)
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methods = dedup(methods)
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return nodes, pubs, subs, timers, fields, methods, accesses
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def highlight(substr: str, text: str):
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regex = r"(?<=\W)({substr})(?=\W)|^({substr})$"
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return re.sub(regex.format(substr=substr), termcolor.colored(r"\1\2", 'magenta', attrs=['bold']), text)
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def prompt_user(file: str, cb: str, idf: str, text: str) -> Tuple[str, bool, bool]:
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print('\n' * 5)
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print(f"{file.rstrip('.cpp').rstrip('.hpp')}\n->{cb}:")
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print(highlight(idf.split('::')[-1], text))
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answer = input(f"{highlight(idf, idf)}\n"
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f"write (w), read (r), both (rw), ignore future (i) exit and save (q), undo (z), skip (Enter): ")
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if answer not in ["", "r", "w", "rw", "q", "z", "i"]:
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print(f"Invalid answer '{answer}', try again.")
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answer = prompt_user(file, cb, idf, text)
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if answer == 'i':
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ignored_idfs.add(idf)
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elif any(x in answer for x in ['r', 'w']):
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ignored_idfs.discard(idf)
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return answer, answer == "q", answer == "z"
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def main(nodes, cbs, fields, methods):
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open_files = {}
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cb_rw_dict = {}
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jobs = []
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for cb_id, cb_dict in cbs.items():
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cb_rw_dict[cb_dict['qualified_name']] = {'reads': set(), 'writes': set()}
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for ref_dict in cb_dict['member_refs']:
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if ref_dict['file'] not in open_files:
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with open(ref_dict['file'], 'r') as f:
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open_files[ref_dict['file']] = f.readlines()
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ln = ref_dict['start_line'] - 1
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text = open_files[ref_dict['file']]
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line = termcolor.colored(text[ln], None, "on_cyan")
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lines = [*text[ln - 3:ln], line, *text[ln + 1:ln + 4]]
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text = ''.join(lines)
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jobs.append((ref_dict['file'], cb_dict['qualified_name'], ref_dict['qualified_name'], text))
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i = 0
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do_undo = False
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while i < len(jobs):
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file, cb, idf, text = jobs[i]
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if do_undo:
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ignored_idfs.discard(idf)
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cb_rw_dict[cb]['reads'].discard(idf)
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cb_rw_dict[cb]['writes'].discard(idf)
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do_undo = False
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if idf in ignored_idfs:
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print("Ignoring", idf)
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i += 1
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continue
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if idf in cb_rw_dict[cb]['reads'] and idf in cb_rw_dict[cb]['writes']:
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print(f"{idf} is already written to and read from in {cb}, skipping.")
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i += 1
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continue
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classification, answ_quit, answ_undo = prompt_user(file, cb, idf, text)
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if answ_quit:
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del cb_rw_dict[file][cb]
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break
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elif answ_undo:
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i -= 1
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do_undo = True
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continue
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if 'r' in classification:
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cb_rw_dict[cb]['reads'].add(idf)
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if 'w' in classification:
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cb_rw_dict[cb]['writes'].add(idf)
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if not any(x in classification for x in ['r', 'w']):
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print(f"Ignoring occurences of {idf} in cb.")
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i += 1
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with open("deps.json", "w") as f:
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json.dump(cb_rw_dict, f, cls=SetEncoder)
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print("Done.")
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if __name__ == "__main__":
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out_dict = {}
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for filename in os.listdir(IN_DIR):
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source_filename = SRC_FILE_NAME(filename)
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print(f"Processing {source_filename}")
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with open(os.path.join(IN_DIR, filename), "r") as f:
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cb_dict = json.load(f)
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if cb_dict is None:
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print(f" [WARN ] Empty tool output detected in {filename}")
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continue
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definitions = definitions_from_json(cb_dict)
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deps, publications = find_data_deps(*definitions)
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(nodes, pubs, subs, timers, fields, methods, accesses) = definitions
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out_dict[source_filename] = {
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"dependencies": deps,
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"publications": publications,
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"nodes": nodes,
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"publishers": pubs,
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"subscriptions": subs,
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"timers": timers,
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"fields": fields,
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"methods": methods
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}
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with open(OUT_NAME, "wb") as f:
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pickle.dump(out_dict, f)
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print("Done.")
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