Files
katrain-qt/katrain/core/utils.py
T
2020-12-29 11:06:24 +01:00

92 lines
2.5 KiB
Python

import os
import struct
import sys
from typing import List, Tuple, TypeVar
try:
import importlib.resources as pkg_resources
except ImportError:
import importlib_resources as pkg_resources
T = TypeVar("T")
def var_to_grid(array_var: List[T], size: Tuple[int, int]) -> List[List[T]]:
"""convert ownership/policy to grid format such that grid[y][x] is for move with coords x,y"""
ix = 0
grid = [[]] * size[1]
for y in range(size[1] - 1, -1, -1):
grid[y] = array_var[ix : ix + size[0]]
ix += size[0]
return grid
def evaluation_class(points_lost: float, eval_thresholds: List[float]):
i = 0
while i < len(eval_thresholds) - 1 and points_lost < eval_thresholds[i]:
i += 1
return i
def check_thread(tb=False): # for checking if draws occur in correct thread
import threading
print("build in ", threading.current_thread().ident)
if tb:
import traceback
traceback.print_stack()
PATHS = {}
def find_package_resource(path, silent_errors=False):
global PATHS
if path.startswith("katrain"):
if not PATHS.get("PACKAGE"):
try:
with pkg_resources.path("katrain", "gui.kv") as p:
PATHS["PACKAGE"] = os.path.split(str(p))[0]
except (ModuleNotFoundError, FileNotFoundError, ValueError) as e:
print(f"Package path not found, installation possibly broken. Error: {e}", file=sys.stderr)
return f"FILENOTFOUND/{path}"
return os.path.join(PATHS["PACKAGE"], path.replace("katrain\\", "katrain/").replace("katrain/", ""))
else:
return os.path.abspath(os.path.expanduser(path)) # absolute path
def pack_floats(float_list):
if float_list is None:
return b""
return struct.pack(f"{len(float_list)}e", *float_list)
def unpack_floats(str, num):
if not str:
return None
return struct.unpack(f"{num}e", str)
def format_visits(n):
if n < 1000:
return str(n)
if n < 1e5:
return f"{n/1000:.1f}k"
if n < 1e6:
return f"{n/1000:.0f}k"
return f"{n/1e6:.0f}k"
def json_truncate_arrays(data, lim=20):
if isinstance(data, list):
if data and isinstance(data[0], dict):
return [json_truncate_arrays(d) for d in data]
if len(data) > lim:
data = [f"{len(data)} x {type(data[0]).__name__}"]
return data
elif isinstance(data, dict):
return {k: json_truncate_arrays(v) for k, v in data.items()}
else:
return data