From 27e8a8a4d8e9a6886472faa8dff5a01e622e0c13 Mon Sep 17 00:00:00 2001
From: araison <adrien.raison@xlim.fr>
Date: Sun, 12 Feb 2023 12:58:22 +0100
Subject: [PATCH] Adding XGWT method

---
 .../config/explainer_config/xgwt_config.py    | 169 ++++++++++++++++++
 1 file changed, 169 insertions(+)
 create mode 100644 explaining_framework/config/explainer_config/xgwt_config.py

diff --git a/explaining_framework/config/explainer_config/xgwt_config.py b/explaining_framework/config/explainer_config/xgwt_config.py
new file mode 100644
index 0000000..a62b257
--- /dev/null
+++ b/explaining_framework/config/explainer_config/xgwt_config.py
@@ -0,0 +1,169 @@
+import functools
+import inspect
+import logging
+import os
+import shutil
+import warnings
+from collections.abc import Iterable
+from dataclasses import asdict
+from typing import Any
+
+import torch_geometric.graphgym.register as register
+from torch_geometric.data.makedirs import makedirs
+
+try:  # Define global config object
+    from yacs.config import CfgNode as CN
+
+    xgwt_cfg = CN()
+except ImportError:
+    xgwt_cfg = None
+    warnings.warn(
+        "Could not define global config object. Please install "
+        "'yacs' for using the GraphGym experiment manager via "
+        "'pip install yacs'."
+    )
+
+
+def set_xgwt_cfg(xgwt_cfg):
+    r"""
+    This function sets the default config value.
+    1) Note that for an experiment, only part of the arguments will be used
+    The remaining unused arguments won't affect anything.
+    So feel free to register any argument in graphgym.contrib.config
+    2) We support *at most* two levels of configs, e.g., xgwt_cfg.dataset.name
+    :return: configuration use by the experiment.
+    """
+    if xgwt_cfg is None:
+        return xgwt_cfg
+
+    xgwt_cfg.wav_approx = False
+    xgwt_cfg.wav_passband = "heat"
+    xgwt_cfg.wav_normalization = True
+    xgwt_cfg.num_candidates = 30
+    xgwt_cfg.num_samples = 10
+    xgwt_cfg.c_procedure = "auto"
+    xgwt_cfg.pred_thres_strat = "regular"
+    xgwt_cfg.CI_threshold = 0.05
+    xgwt_cfg.mixing = "uniform"
+    xgwt_cfg.scales = [3]
+    xgwt_cfg.pred_thres = 0.1
+    xgwt_cfg.incl_prob = 0.4
+    xgwt_cfg.top_k = 5
+
+
+def assert_cfg(xgwt_cfg):
+    r"""Checks config values, do necessary post processing to the configs
+    TODO
+
+    """
+    # if xgwt_cfg. not in ["node", "edge", "graph", "link_pred"]:
+    # raise ValueError(
+    # "Task {} not supported, must be one of node, "
+    # "edge, graph, link_pred".format(xgwt_cfg.dataset.task)
+    # )
+    # xgwt_cfg.run_dir = xgwt_cfg.out_dir
+
+
+def dump_cfg(xgwt_cfg, path):
+    r"""
+    TODO
+    Dumps the config to the output directory specified in
+    :obj:`xgwt_cfg.out_dir`
+    Args:
+        xgwt_cfg (CfgNode): Configuration node
+    """
+    makedirs(xgwt_cfg.out_dir)
+    xgwt_cfg_file = os.path.join(xgwt_cfg.out_dir, xgwt_cfg.xgwt_cfg_dest)
+    with open(xgwt_cfg_file, "w") as f:
+        xgwt_cfg.dump(stream=f)
+
+
+def load_cfg(xgwt_cfg, args):
+    r"""
+    Load configurations from file system and command line
+    Args:
+        xgwt_cfg (CfgNode): Configuration node
+        args (ArgumentParser): Command argument parser
+    """
+    xgwt_cfg.merge_from_file(args.xgwt_cfg_file)
+    xgwt_cfg.merge_from_list(args.opts)
+    assert_xgwt_cfg(xgwt_cfg)
+
+
+def makedirs_rm_exist(dir):
+    if os.path.isdir(dir):
+        shutil.rmtree(dir)
+    os.makedirs(dir, exist_ok=True)
+
+
+def get_fname(fname):
+    r"""
+    Extract filename from file name path
+    Args:
+        fname (string): Filename for the yaml format configuration file
+    """
+    fname = fname.split("/")[-1]
+    if fname.endswith(".yaml"):
+        fname = fname[:-5]
+    elif fname.endswith(".yml"):
+        fname = fname[:-4]
+    return fname
+
+
+def set_out_dir(out_dir, fname):
+    r"""
+    Create the directory for full experiment run
+    Args:
+        out_dir (string): Directory for output, specified in :obj:`xgwt_cfg.out_dir`
+        fname (string): Filename for the yaml format configuration file
+    """
+    fname = get_fname(fname)
+    xgwt_cfg.out_dir = os.path.join(out_dir, fname)
+    # Make output directory
+    if xgwt_cfg.train.auto_resume:
+        os.makedirs(xgwt_cfg.out_dir, exist_ok=True)
+
+
+def set_run_dir(out_dir):
+    r"""
+    Create the directory for each random seed experiment run
+    Args:
+        out_dir (string): Directory for output, specified in :obj:`xgwt_cfg.out_dir`
+        fname (string): Filename for the yaml format configuration file
+    """
+    xgwt_cfg.run_dir = os.path.join(out_dir, str(xgwt_cfg.seed))
+    # Make output directory
+    if xgwt_cfg.train.auto_resume:
+        os.makedirs(xgwt_cfg.run_dir, exist_ok=True)
+
+
+set_xgwt_cfg(xgwt_cfg)
+
+
+def from_config(func):
+    if inspect.isclass(func):
+        params = list(inspect.signature(func.__init__).parameters.values())[1:]
+    else:
+        params = list(inspect.signature(func).parameters.values())
+
+    arg_names = [p.name for p in params]
+    has_defaults = [p.default != inspect.Parameter.empty for p in params]
+
+    @functools.wraps(func)
+    def wrapper(*args, xgwt_cfg: Any = None, **kwargs):
+        if xgwt_cfg is not None:
+            xgwt_cfg = (
+                dict(xgwt_cfg) if isinstance(xgwt_cfg, Iterable) else asdict(xgwt_cfg)
+            )
+
+            iterator = zip(arg_names[len(args) :], has_defaults[len(args) :])
+            for arg_name, has_default in iterator:
+                if arg_name in kwargs:
+                    continue
+                elif arg_name in xgwt_cfg:
+                    kwargs[arg_name] = xgwt_cfg[arg_name]
+                elif not has_default:
+                    raise ValueError(f"'xgwt_cfg.{arg_name}' undefined")
+        return func(*args, **kwargs)
+
+    return wrapper