✨🔖 [minor] Added new check empty for torch.Tensor.

Author: bybatkhuu

.editorconfig

@@ -12,7 +12,7 @@ indent_size = 4
 
 [*.{yml,yaml}]
 indent_style = space
-indent_size = 4
+indent_size = 2
 
 [*.{js,json,sh}]
 indent_style = tab

.vscode/settings.json

@@ -1,47 +1,41 @@
 {
+	"workbench.iconTheme": "material-icon-theme",
 	"workbench.editor.highlightModifiedTabs": true,
 	"explorer.autoReveal": false,
 	"explorer.openEditors.visible": 0,
 	"git.autofetch": true,
+	"git.autofetchPeriod": 120,
 	"diffEditor.ignoreTrimWhitespace": false,
 	"editor.fontWeight": "500",
 	"editor.renderWhitespace": "all",
-	"editor.renderControlCharacters": true,
+	"editor.wordWrap": "on",
+	"editor.smoothScrolling": true,
 	"editor.detectIndentation": false,
 	"editor.insertSpaces": false,
-	"editor.tabSize": 4,
 	"[markdown]":
 	{
 		"editor.insertSpaces": true,
-		"editor.tabSize": 4
 	},
 	"[python]":
 	{
 		"editor.insertSpaces": true,
 		"editor.tabSize": 4
 	},
-	"[yaml]":
-	{
-		"editor.insertSpaces": true,
-		"editor.tabSize": 4
-	},
 	"[yml]":
 	{
 		"editor.insertSpaces": true,
-		"editor.tabSize": 4
-	},
-	"[pug]":
-	{
-		"editor.insertSpaces": false,
-		"editor.tabSize": 4
+		"editor.tabSize": 2
 	},
 	"files.eol": "\n",
 	"files.trimTrailingWhitespace": true,
 	"files.associations":
 	{
 		"*.env.*": "dotenv",
 		"*.json.example": "json",
-		"requirements*.txt": "pip-requirements"
+		"requirements*.txt": "pip-requirements",
+		"*Dockerfile*": "dockerfile",
+		".dockerignore": "ignore",
+		"*.py.bak": "python"
 	},
 	"files.watcherExclude":
 	{
@@ -52,73 +46,83 @@
 		"**/.hg/**": true,
 		"**/.hg/store/**": true,
 		"**/CVS/**": true,
+		"**/node_modules/*/**": true,
+		"**/bower_components/**": true,
 		"**/.vscode-server/**": true,
 		"**/.idea": true,
-		"**/node_modules/**": true,
-		"**/bower_components/**": true,
 		"**/env/**": true,
 		"**/venv/**": true,
 		"**/envs/**": true,
 		"**/__pycache__/**": true,
 		"**/dist/**": true,
 		"**/sdist/**": true,
+		"**/build/**": true,
+		"**/builds/**": true,
 		"**/log/**": true,
 		"**/logs/**": true,
 		"**/backup/**": true,
 		"**/backups/**": true,
 		"**/data/**": true,
+		"**/dataset/**": true,
+		"**/datasets/**": true,
 		"**/db/**": true,
 		"**/tmp/**": true,
+		"**/archive/**": true,
 		"**/*.pyc": true,
 		"**/*.log": true,
 		"**/*.out": true,
 		"**/*.bak": true,
 		"**/.bak.*": true,
-		"**/.DS_Store": true
+		"**/.DS_Store": true,
+		"**/Thumbs.db": true
 	},
 	"files.exclude":
 	{
 		"**/.git": false,
 		"**/.svn": false,
 		"**/.hg": false,
 		"**/CVS": false,
-		"**/.DS_Store": false
+		"**/.DS_Store": false,
+		"**/Thumbs.db": false
 	},
 	"search.exclude":
 	{
 		"**/.git": true,
 		"**/.svn": true,
 		"**/.hg": true,
 		"**/CVS": true,
+		"**/node_modules": true,
+		"**/bower_components": true,
+		"**/*.code-search": true,
 		"**/.vscode": true,
 		"**/.vscode-server": true,
-		"**/*.code-search": true,
 		"**/.idea": true,
-		"**/node_modules": true,
-		"**/bower_components": true,
 		"**/env": true,
 		"**/venv": true,
 		"**/envs": true,
 		"**/__pycache__": true,
 		"**/dist": true,
 		"**/sdist": true,
+		"**/build": true,
+		"**/builds": true,
 		"**/log": true,
 		"**/logs": true,
 		"**/backup": true,
 		"**/backups": true,
 		"**/data": true,
+		"**/dataset": true,
+		"**/datasets": true,
 		"**/db": true,
 		"**/tmp": true,
+		"**/archive": true,
 		"**/*.pyc": true,
 		"**/*.log": true,
 		"**/*.out": true,
 		"**/*.bak": true,
 		"**/.bak.*": true,
-		"**/.DS_Store": true
+		"**/.DS_Store": true,
+		"**/Thumbs.db": true
 	},
-	"git-graph.maxDepthOfRepoSearch": 4,
-	"javascript.suggest.autoImports": false,
-	"typescript.suggest.autoImports": false,
 	"python.languageServer": "Pylance",
-	"python.pythonPath": "${env:HOME}/workspaces/runtimes/miniconda3/envs/py38/bin/python"
+	"git-graph.maxDepthOfRepoSearch": 4
 }

README.md

@@ -8,7 +8,7 @@ Cerberus and validator-collection based custom validator package (garlic_validat
 * Cerberus schema validation - [https://pypi.org/project/Cerberus](https://pypi.org/project/Cerberus)
 * Pydantic validation - [https://pypi.org/project/pydantic](https://pypi.org/project/pydantic)
 * Custom validator module
-* is_empty, is_numpy, is_float, is_truthy, is_falsy, is_bool, is_attr_empty
+* is_empty, is_numpy, is_tensor, is_float, is_truthy, is_falsy, is_bool, is_attr_empty
 
 ---
 

examples/requirements.txt

@@ -1 +1 @@
-garlic-validator==1.0.0
+garlic-validator==1.0.1

garlic_validator/__init__.py

@@ -1,8 +1,6 @@
 # -*- coding: utf-8 -*-
 
 try:
-    from garlic_validator.validator import validators, checkers, errors
-    from garlic_validator.__version__ import __version__
+    from garlic_validator.validator import validators, checkers, errors, __version__
 except ImportError:
-    from .validator import validators, checkers, errors
-    from .__version__ import __version__
+    from .validator import validators, checkers, errors, __version__

garlic_validator/__version__.py

@@ -1,3 +1,3 @@
 # -*- coding: utf-8 -*-
 
-__version__ = '1.0.0'
+__version__ = '1.0.1'

garlic_validator/validator.py

@@ -5,6 +5,8 @@
 from pydantic import validate_arguments
 from validator_collection import validators, checkers, errors
 
+from .__version__ import __version__
+
 logger = logging.getLogger(__name__)
 
 
@@ -30,6 +32,7 @@ def is_empty(value, trim_str: bool=False):
 
         if value == '':
             return True
+
     elif isinstance(value, list) or isinstance(value, dict) or isinstance(value, tuple) or isinstance(value, range) or isinstance(value, set):
         if len(value) == 0:
             return True
@@ -38,6 +41,10 @@ def is_empty(value, trim_str: bool=False):
         if value.size == 0:
             return True
 
+    if is_tensor(value):
+        if value.nelement() == 0:
+            return True
+
     return False
 
 
@@ -58,6 +65,23 @@ def is_numpy(value):
     return False
 
 
+@validate_arguments
+def is_tensor(value):
+    """Check 'value' is torch.Tensor or not.
+
+    Args:
+        value (any, required): The value to check.
+
+    Returns:
+        bool: True if 'value' is valid, False if it is not.
+    """
+
+    if f"{type(value).__module__}.{type(value).__name__}" == 'torch.Tensor':
+        return True
+
+    return False
+
+
 @validate_arguments
 def is_float(value, minimum=None, maximum=None, **kwargs):
     """Check 'value' is a float or not.
@@ -191,6 +215,7 @@ def is_attr_empty(obj: object, attr_name: str):
 
 checkers.is_empty = is_empty
 checkers.is_numpy = is_numpy
+checkers.is_tensor = is_tensor
 checkers.is_float = is_float
 checkers.is_truthy = is_truthy
 checkers.is_falsy = is_falsy