Merge branch 'tony/upload-floderstruct-classification' of https://github.com/roboflow/roboflow-python into tony/upload-floderstruct-classification

Author: tonylampada

CLAUDE.md

@@ -112,4 +112,4 @@ The `roboflow` command line tool (`roboflow/roboflowpy.py`) provides:
 - API keys are stored in `~/.config/roboflow/config.json` (Unix) or `~/roboflow/config.json` (Windows)
 - The SDK supports both hosted inference (Roboflow platform) and local inference (via Roboflow Inference)
 - Pre-commit hooks automatically run formatting and linting checks
-- Test files intentionally excluded from linting: `tests/manual/debugme.py`
+- Test files intentionally excluded from linting: `tests/manual/debugme.py`

tests/datasets/corrosion-singlelabel-classification/README.dataset.txt

@@ -3,4 +3,3 @@ https://universe.roboflow.com/classification/synthetic-corrosion-dataset
 
 Provided by Roboflow
 License: CC BY 4.0
-

tests/test_project.py

@@ -1,5 +1,4 @@
 from unittest.mock import patch
-import os
 
 import requests
 import responses
@@ -462,7 +461,7 @@ def test_classification_dataset_upload(self):
         classification_folder = "tests/datasets/corrosion-singlelabel-classification"
         # Parse with classification flag to get inferred annotations
         parsed_dataset = folderparser.parsefolder(classification_folder, is_classification=True)
-        
+
         # Create a mock project with classification type
         self.project.type = "classification"
         annotation_calls = []
@@ -509,10 +508,18 @@ def test_classification_edge_cases(self):
             {"file": "root_img.jpg", "split": "train", "dirname": "/"},
             {"file": "dot_img.jpg", "split": "train", "dirname": "/."},
             # These should get annotations from folder structure
-            {"file": "nested.jpg", "split": "train", "dirname": "/train/defects/rust/severe", 
-             "annotationfile": {"type": "classification_folder", "classification_label": "severe"}},
-            {"file": "normal.jpg", "split": "train", "dirname": "/train/good",
-             "annotationfile": {"type": "classification_folder", "classification_label": "good"}},
+            {
+                "file": "nested.jpg",
+                "split": "train",
+                "dirname": "/train/defects/rust/severe",
+                "annotationfile": {"type": "classification_folder", "classification_label": "severe"},
+            },
+            {
+                "file": "normal.jpg",
+                "split": "train",
+                "dirname": "/train/good",
+                "annotationfile": {"type": "classification_folder", "classification_label": "good"},
+            },
         ]
         self.project.type = "classification"
         annotation_calls = []

tests/util/test_folderparser.py

@@ -1,6 +1,7 @@
 import json
 import unittest
 from os.path import abspath, dirname
+
 from roboflow.util import folderparser
 
 thisdir = dirname(abspath(__file__))