0.535

changelog.md

@@ -1,4 +1,7 @@
 # Changelog
+#### 0.535
+🐞 `AD` hotfix
+
 #### 0.534
 🎉 `store_scrap` is a new way to store on disk and show jupyter cell outputs in other notebooks.  
 Best for presenting complex analyses without worrying about running time-consuming notebooks

nbs/markups.ipynb

@@ -88,6 +88,7 @@
     "def _default(self, obj):\n",
     "    import numpy as np\n",
     "    from datetime import datetime, date\n",
+    "\n",
     "    if isinstance(obj, P):\n",
     "        return str(obj)\n",
     "    if isinstance(obj, (AD, AD2)):\n",
@@ -96,6 +97,7 @@
     "        return list(obj)\n",
     "    try:\n",
     "        import torch\n",
+    "\n",
     "        if isinstance(obj, torch.Tensor):\n",
     "            obj = obj.cpu().detach().numpy()\n",
     "    except:\n",
@@ -107,7 +109,6 @@
     "    return getattr(obj.__class__, \"__json__\", _default.default)(obj)\n",
     "\n",
     "\n",
-    "\n",
     "_default.default = JSONEncoder().default\n",
     "JSONEncoder.default = _default\n",
     "\n",
@@ -215,8 +216,8 @@
     "        else:\n",
     "            return AttrDict(value) if isinstance(value, dict) else value\n",
     "\n",
-    "    __getitem__ = (\n",
-    "        lambda self, x: AttrDict({_x: self[_x] for _x in x})\n",
+    "    __getitem__ = lambda self, x: (\n",
+    "        AttrDict({_x: self[_x] for _x in x})\n",
     "        if isinstance(x, (list, L))\n",
     "        else getattr(self, str(x))\n",
     "    )\n",
@@ -324,7 +325,8 @@
     "\n",
     "    def summary(self, current_path=\"\", depth=0, sep=\"  \", max_items=10):\n",
     "        max_items = int(os.environ.get(\"AD_MAX_ITEMS\", max_items))\n",
-    "        if max_items == -1: max_items = 1e3\n",
+    "        if max_items == -1:\n",
+    "            max_items = 1e3\n",
     "        sep = os.environ.get(\"AD_SEP\", sep)\n",
     "\n",
     "        def format_path(path, key):\n",
@@ -365,6 +367,7 @@
     "                    is_multiline = False\n",
     "                    ogitem = item\n",
     "                    if isinstance(item, (str, P)):\n",
+    "                        item = str(item)\n",
     "                        is_multiline = \"\\n\" in item\n",
     "                        _sep = (\n",
     "                            \" ...\\n...\\n...\\n...\\n... \" if is_multiline else \".........\"\n",
@@ -422,6 +425,7 @@
     "\n",
     "AD = AttrDict\n",
     "\n",
+    "\n",
     "def decompose(i):\n",
     "    print(\n",
     "        AD(\n",
@@ -430,6 +434,7 @@
     "        )\n",
     "    )\n",
     "\n",
+    "\n",
     "def pretty_json(\n",
     "    i, fpath=None, indent=4, print_with_logger=True, return_as_string=False\n",
     "):\n",

settings.ini

@@ -8,7 +8,7 @@ author = Yeshwanth Reddy
 author_email = 1992chinna@gmail.com
 copyright = sizhky
 branch = master
-version = 0.534
+version = 0.535
 min_python = 3.7
 audience = Developers
 language = English

torch_snippets.egg-info/PKG-INFO

@@ -1,6 +1,6 @@
 Metadata-Version: 2.1
 Name: torch_snippets
-Version: 0.534
+Version: 0.535
 Summary: One line functions for common tasks
 Home-page: https://github.com/sizhky/torch_snippets/tree/master/
 Author: Yeshwanth Reddy

torch_snippets/__init__.py

@@ -1,4 +1,4 @@
-__version__ = "0.534"
+__version__ = "0.535"
 from .loader import *
 from .paths import *
 from .markup import *

torch_snippets/markup.py

@@ -22,6 +22,7 @@
 def _default(self, obj):
     import numpy as np
     from datetime import datetime, date
+
     if isinstance(obj, P):
         return str(obj)
     if isinstance(obj, (AD, AD2)):
@@ -30,6 +31,7 @@ def _default(self, obj):
         return list(obj)
     try:
         import torch
+
         if isinstance(obj, torch.Tensor):
             obj = obj.cpu().detach().numpy()
     except:
@@ -41,7 +43,6 @@ def _default(self, obj):
     return getattr(obj.__class__, "__json__", _default.default)(obj)
 
 
-
 _default.default = JSONEncoder().default
 JSONEncoder.default = _default
 
@@ -149,8 +150,8 @@ def _wrap(self, value):
         else:
             return AttrDict(value) if isinstance(value, dict) else value
 
-    __getitem__ = (
-        lambda self, x: AttrDict({_x: self[_x] for _x in x})
+    __getitem__ = lambda self, x: (
+        AttrDict({_x: self[_x] for _x in x})
         if isinstance(x, (list, L))
         else getattr(self, str(x))
     )
@@ -258,7 +259,8 @@ def find_address(self, key, current_path=""):
 
     def summary(self, current_path="", depth=0, sep="  ", max_items=10):
         max_items = int(os.environ.get("AD_MAX_ITEMS", max_items))
-        if max_items == -1: max_items = 1e3
+        if max_items == -1:
+            max_items = 1e3
         sep = os.environ.get("AD_SEP", sep)
 
         def format_path(path, key):
@@ -299,6 +301,7 @@ class Torch:
                     is_multiline = False
                     ogitem = item
                     if isinstance(item, (str, P)):
+                        item = str(item)
                         is_multiline = "\n" in item
                         _sep = (
                             " ...\n...\n...\n...\n... " if is_multiline else "........."
@@ -356,6 +359,7 @@ def fetch(self, addr):
 
 AD = AttrDict
 
+
 def decompose(i):
     print(
         AD(
@@ -364,6 +368,7 @@ def decompose(i):
         )
     )
 
+
 def pretty_json(
     i, fpath=None, indent=4, print_with_logger=True, return_as_string=False
 ):

torch_snippets/markup2.py

@@ -334,6 +334,7 @@ class Torch:
                     is_multiline = False
                     ogitem = item
                     if isinstance(item, (str, P)):
+                        item = str(item)
                         is_multiline = "\n" in item
                         _sep = (
                             " ...\n...\n...\n...\n... " if is_multiline else "........."