File size: 7,282 Bytes
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import binascii
import csv
import json
import math
import shutil
import struct
import zlib
from pathlib import Path
from typing import Any, Iterable
REPO_ROOT = Path(__file__).resolve().parents[1]
def ensure_dir(path: str | Path) -> Path:
out = Path(path)
out.mkdir(parents=True, exist_ok=True)
return out
def read_json(path: str | Path) -> Any:
with Path(path).open("r", encoding="utf-8") as f:
return json.load(f)
def write_json(path: str | Path, obj: Any) -> None:
path = Path(path)
ensure_dir(path.parent)
with path.open("w", encoding="utf-8") as f:
json.dump(obj, f, indent=2, sort_keys=True)
f.write("\n")
def read_jsonl(path: str | Path) -> list[dict[str, Any]]:
rows: list[dict[str, Any]] = []
with Path(path).open("r", encoding="utf-8") as f:
for line_no, line in enumerate(f, start=1):
line = line.strip()
if not line:
continue
try:
rows.append(json.loads(line))
except json.JSONDecodeError as exc:
raise ValueError(f"Invalid JSONL at {path}:{line_no}: {exc}") from exc
return rows
def write_jsonl(path: str | Path, rows: Iterable[dict[str, Any]]) -> None:
path = Path(path)
ensure_dir(path.parent)
with path.open("w", encoding="utf-8") as f:
for row in rows:
f.write(json.dumps(row, sort_keys=True))
f.write("\n")
def write_csv(path: str | Path, rows: list[dict[str, Any]], fieldnames: list[str] | None = None) -> None:
path = Path(path)
ensure_dir(path.parent)
if fieldnames is None:
keys: list[str] = []
for row in rows:
for key in row:
if key not in keys:
keys.append(key)
fieldnames = keys
with path.open("w", encoding="utf-8", newline="") as f:
writer = csv.DictWriter(f, fieldnames=fieldnames)
writer.writeheader()
for row in rows:
writer.writerow(row)
def _table_fieldnames(rows: list[dict[str, Any]], fieldnames: list[str] | None = None) -> list[str]:
if fieldnames is not None:
return fieldnames
keys: list[str] = []
for row in rows:
for key in row:
if key not in keys:
keys.append(key)
return keys
def write_markdown_table(path: str | Path, rows: list[dict[str, Any]], fieldnames: list[str] | None = None) -> None:
path = Path(path)
ensure_dir(path.parent)
fieldnames = _table_fieldnames(rows, fieldnames)
with path.open("w", encoding="utf-8") as f:
f.write("| " + " | ".join(fieldnames) + " |\n")
f.write("| " + " | ".join(["---"] * len(fieldnames)) + " |\n")
for row in rows:
f.write("| " + " | ".join(str(row.get(name, "")) for name in fieldnames) + " |\n")
def _latex_escape(value: Any) -> str:
text = str(value)
return (
text.replace("\\", "\\textbackslash{}")
.replace("&", "\\&")
.replace("%", "\\%")
.replace("$", "\\$")
.replace("#", "\\#")
.replace("_", "\\_")
.replace("{", "\\{")
.replace("}", "\\}")
)
def write_latex_table(
path: str | Path,
rows: list[dict[str, Any]],
fieldnames: list[str] | None = None,
caption: str = "Table-ready experiment results.",
label: str = "tab:cmevs_results",
) -> None:
path = Path(path)
ensure_dir(path.parent)
fieldnames = _table_fieldnames(rows, fieldnames)
align = "l" * len(fieldnames)
with path.open("w", encoding="utf-8") as f:
f.write("\\begin{table}[t]\n")
f.write("\\centering\n")
f.write(f"\\caption{{{_latex_escape(caption)}}}\n")
safe_label = str(label).replace("{", "").replace("}", "")
f.write(f"\\label{{{safe_label}}}\n")
f.write(f"\\begin{{tabular}}{{{align}}}\n")
f.write("\\toprule\n")
f.write(" & ".join(_latex_escape(name) for name in fieldnames) + " \\\\\n")
f.write("\\midrule\n")
for row in rows:
f.write(" & ".join(_latex_escape(row.get(name, "")) for name in fieldnames) + " \\\\\n")
f.write("\\bottomrule\n")
f.write("\\end{tabular}\n")
f.write("\\end{table}\n")
def copy_file(src: str | Path, dst: str | Path) -> None:
dst = Path(dst)
ensure_dir(dst.parent)
shutil.copy2(src, dst)
def candidate_by_id(candidates: Iterable[dict[str, Any]]) -> dict[str, dict[str, Any]]:
return {str(row["candidate_id"]): row for row in candidates}
def valid_candidates(candidates: Iterable[dict[str, Any]]) -> list[dict[str, Any]]:
return [row for row in candidates if bool(row.get("valid", True))]
def cell_set(candidate: dict[str, Any]) -> set[str]:
return {str(cell) for cell in candidate.get("covered_cells", [])}
def universe_cells(candidates: Iterable[dict[str, Any]]) -> set[str]:
cells: set[str] = set()
for candidate in candidates:
if bool(candidate.get("valid", True)):
cells.update(cell_set(candidate))
return cells
def selected_ids(selected_doc: dict[str, Any]) -> list[str]:
return [str(row["candidate_id"]) for row in selected_doc.get("selected_viewpoints", [])]
def safe_div(num: float, den: float) -> float:
return 0.0 if den == 0 else num / den
def pearson(xs: list[float], ys: list[float]) -> float:
if len(xs) != len(ys) or len(xs) < 2:
return float("nan")
mx = sum(xs) / len(xs)
my = sum(ys) / len(ys)
num = sum((x - mx) * (y - my) for x, y in zip(xs, ys))
vx = sum((x - mx) ** 2 for x in xs)
vy = sum((y - my) ** 2 for y in ys)
if vx <= 0.0 or vy <= 0.0:
return float("nan")
return num / math.sqrt(vx * vy)
def _png_chunk(kind: bytes, payload: bytes) -> bytes:
return (
struct.pack(">I", len(payload))
+ kind
+ payload
+ struct.pack(">I", binascii.crc32(kind + payload) & 0xFFFFFFFF)
)
def write_solid_png(path: str | Path, width: int, height: int, rgb: tuple[int, int, int]) -> None:
path = Path(path)
ensure_dir(path.parent)
raw = bytearray()
row = bytes(rgb) * width
for _ in range(height):
raw.append(0)
raw.extend(row)
ihdr = struct.pack(">IIBBBBB", width, height, 8, 2, 0, 0, 0)
data = zlib.compress(bytes(raw), level=9)
with path.open("wb") as f:
f.write(b"\x89PNG\r\n\x1a\n")
f.write(_png_chunk(b"IHDR", ihdr))
f.write(_png_chunk(b"IDAT", data))
f.write(_png_chunk(b"IEND", b""))
def write_npy_f4(path: str | Path, height: int, width: int, value: float) -> None:
path = Path(path)
ensure_dir(path.parent)
header = "{'descr': '<f4', 'fortran_order': False, 'shape': (%d, %d), }" % (height, width)
header_bytes = header.encode("latin1")
prefix_len = 6 + 2 + 2
padding = 16 - ((prefix_len + len(header_bytes) + 1) % 16)
header_bytes += b" " * padding + b"\n"
row = struct.pack("<" + "f" * width, *([float(value)] * width))
with path.open("wb") as f:
f.write(b"\x93NUMPY")
f.write(b"\x01\x00")
f.write(struct.pack("<H", len(header_bytes)))
f.write(header_bytes)
for _ in range(height):
f.write(row)
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