parallel code improved, env improved

quacc/environment.py

@@ -1,5 +1,7 @@
 from contextlib import contextmanager
 
+import numpy as np
+import quapy as qp
 import yaml
 
 
@@ -42,8 +44,14 @@ class environ:
     def __setdict(self, d: dict):
         for k, v in d.items():
             super().__setattr__(k, v)
+            match k:
+                case "SAMPLE_SIZE":
+                    qp.environ["SAMPLE_SIZE"] = v
+                case "_R_SEED":
+                    qp.environ["_R_SEED"] = v
+                    np.random.seed(v)
 
-    def __getdict(self) -> dict:
+    def to_dict(self) -> dict:
         return {k: self.__getattribute__(k) for k in environ._keys}
 
     @property
@@ -52,16 +60,22 @@ class environ:
 
     @contextmanager
     def load(self, conf):
-        __current = self.__getdict()
+        __current = self.to_dict()
-        if conf is not None:
+        __np_random_state = np.random.get_state()
-            if isinstance(conf, dict):
+
-                self.__setdict(conf)
+        if conf is None:
-            elif isinstance(conf, environ):
+            conf = {}
-                self.__setdict(conf.__getdict())
+
+        if isinstance(conf, environ):
+            conf = conf.to_dict()
+
+        self.__setdict(conf)
+
         try:
             yield
         finally:
             self.__setdict(__current)
+            np.random.set_state(__np_random_state)
 
     def load_confs(self):
         for c in self.confs:

quacc/utils.py

@@ -9,7 +9,8 @@ import pandas as pd
 from joblib import Parallel, delayed
 from tqdm import tqdm
 
-from quacc.environment import env
+from quacc import logger
+from quacc.environment import env, environ
 
 
 def combine_dataframes(dfs, df_index=[]) -> pd.DataFrame:
@@ -77,16 +78,31 @@ def download_file(url: str, downloaded_path: Path):
         urlretrieve(url, filename=downloaded_path, reporthook=t.update_to)
 
 
-def parallel(func, args, n_jobs, seed=None):
+def parallel(
-    """
+    func,
-    A wrapper of multiprocessing:
+    f_args=None,
+    parallel: Parallel = None,
+    n_jobs=1,
+    verbose=0,
+    _env: environ | dict = None,
+    seed=None,
+):
+    f_args = f_args or []
 
-    >>> Parallel(n_jobs=n_jobs)(
+    if _env is None:
-    >>>      delayed(func)(args_i) for args_i in args
+        _env = {}
-    >>> )
+    elif isinstance(_env, environ):
+        _env = _env.to_dict()
 
-    that takes the `quapy.environ` variable as input silently.
+    def wrapper(*args):
-    Seeds the child processes to ensure reproducibility when n_jobs>1
+        if seed is not None:
-    """
+            nonlocal _env
+            _env = _env | dict(_R_SEED=seed)
 
-    return Parallel(n_jobs=n_jobs, verbose=1)(delayed(func)(_args) for _args in args)
+        with env.load(_env):
+            return func(*args)
+
+    parallel = (
+        Parallel(n_jobs=n_jobs, verbose=verbose) if parallel is None else parallel
+    )
+    return parallel(delayed(wrapper)(*_args) for _args in f_args)