fix: Updated fix for testing

filestack/mixins/imagetransformation.py

@@ -155,10 +155,10 @@ def auto_image(self):
 
     def doc_to_images(self, pages=None, engine=None, format=None, quality=None, density=None, hidden_slides=None):
         return self._add_transform_task('doc_to_images', locals())
-    
+
     def smart_crop(self, mode=None, width=None, height=None, fill_color=None, coords=None):
         return self._add_transform_task('smart_crop', locals())
-    
+
     def pdfcreate(self, engine=None):
         return self._add_transform_task('pdfcreate', locals())
 

filestack/uploads/intelligent_ingestion.py

@@ -62,7 +62,7 @@ def upload_part(apikey, filename, filepath, filesize, storage, start_response, p
         payload = payload_base.copy()
         payload.update({
             'size': len(chunk_data),
-            'md5': b64encode(hashlib.md5(chunk_data).digest()).strip().decode('utf-8'),
+            'md5': b64encode(hashlib.md5(chunk_data, usedforsecurity=False).digest()).strip().decode('utf-8'),
             'offset': offset,
             'fii': True
         })

filestack/uploads/multipart.py

@@ -66,7 +66,7 @@ def upload_chunk(apikey, filename, storage, start_response, chunk):
         'apikey': apikey,
         'part': chunk.num,
         'size': len(chunk.bytes),
-        'md5': b64encode(hashlib.md5(chunk.bytes).digest()).strip().decode('utf-8'),
+        'md5': b64encode(hashlib.md5(chunk.bytes, usedforsecurity=False).digest()).strip().decode('utf-8'),
         'uri': start_response['uri'],
         'region': start_response['region'],
         'upload_id': start_response['upload_id'],
@@ -113,10 +113,10 @@ def multipart_upload(apikey, filepath, file_obj, storage, params=None, security=
     chunks = make_chunks(filepath, file_obj, filesize)
     start_response = multipart_request(config.MULTIPART_START_URL, payload, params, security)
     upload_func = partial(upload_chunk, apikey, filename, storage, start_response)
-    
+
     with ThreadPoolExecutor(max_workers=upload_processes) as executor:
         uploaded_parts = list(executor.map(upload_func, chunks))
-    
+
     location_url = start_response.pop('location_url')
     payload.update(start_response)
     payload['parts'] = uploaded_parts