diff --git a/cluster4npu_ui/core/functions/InferencePipeline.py b/cluster4npu_ui/core/functions/InferencePipeline.py index 9869c0f..e53bf38 100644 --- a/cluster4npu_ui/core/functions/InferencePipeline.py +++ b/cluster4npu_ui/core/functions/InferencePipeline.py @@ -139,8 +139,8 @@ class PipelineStage: # Process data through this stage processed_data = self._process_data(pipeline_data) - # Only record processing and increment counter if we got a real result - if processed_data is not None: + # Only count and record timing for actual inference results + if processed_data and self._has_inference_result(processed_data): # Record processing time processing_time = time.time() - start_time self.processing_times.append(processing_time) @@ -148,20 +148,17 @@ class PipelineStage: self.processing_times = self.processing_times[-500:] self.processed_count += 1 - - # Put result to output queue + + # Put result to output queue + try: + self.output_queue.put(processed_data, block=False) + except queue.Full: + # Drop oldest and add new try: + self.output_queue.get_nowait() self.output_queue.put(processed_data, block=False) - except queue.Full: - # Drop oldest and add new - try: - self.output_queue.get_nowait() - self.output_queue.put(processed_data, block=False) - except queue.Empty: - pass - else: - # No inference result - don't count this iteration - pass + except queue.Empty: + pass except Exception as e: self.error_count += 1 @@ -170,25 +167,45 @@ class PipelineStage: print(f"[Stage {self.stage_id}] Worker loop stopped") + def _has_inference_result(self, processed_data) -> bool: + """Check if processed_data contains a valid inference result""" + if not processed_data: + return False + + try: + # Check if it's a PipelineData with stage results + if hasattr(processed_data, 'stage_results') and processed_data.stage_results: + stage_result = processed_data.stage_results.get(self.stage_id) + if stage_result: + # Check for tuple result (prob, result_str) + if isinstance(stage_result, tuple) and len(stage_result) == 2: + prob, result_str = stage_result + return prob is not None and result_str is not None + # Check for dict result with actual inference data + elif isinstance(stage_result, dict): + return (stage_result.get("status") != "processing" and + stage_result.get("status") != "async" and + stage_result) + else: + return stage_result is not None + except Exception: + pass + + return False + def _process_data(self, pipeline_data: PipelineData) -> PipelineData: """Process data through this stage""" try: current_data = pipeline_data.data - # Debug: Print data info - if isinstance(current_data, np.ndarray): - print(f"[Stage {self.stage_id}] Input data: shape={current_data.shape}, dtype={current_data.dtype}") - # Step 1: Input preprocessing (inter-stage) if self.input_preprocessor: if isinstance(current_data, np.ndarray): - print(f"[Stage {self.stage_id}] Applying input preprocessor...") current_data = self.input_preprocessor.process( current_data, self.multidongle.model_input_shape, 'BGR565' # Default format ) - print(f"[Stage {self.stage_id}] After input preprocess: shape={current_data.shape}, dtype={current_data.dtype}") # Step 2: Always preprocess image data for MultiDongle processed_data = None @@ -217,36 +234,23 @@ class PipelineStage: # Process result if available - only count actual inference results for FPS inference_result = None - has_real_result = False if result is not None: if isinstance(result, tuple) and len(result) == 2: # Handle tuple results like (probability, result_string) prob, result_str = result if prob is not None and result_str is not None: - print(f"[Stage {self.stage_id}] ✅ Valid inference result: prob={prob}, result={result_str}") + print(f"[Stage {self.stage_id}] ✅ Inference result: prob={prob:.3f}, result={result_str}") inference_result = result - has_real_result = True elif isinstance(result, dict) and result: # Non-empty dict - print(f"[Stage {self.stage_id}] ✅ Valid dict result: {result}") - inference_result = result - has_real_result = True - - # If no valid result, don't process this iteration for FPS counting - if not has_real_result: - # Skip this iteration - no actual inference result to process - # (Don't spam logs - this is normal in async processing) - return None # Return None to indicate no processing occurred + print(f"[Stage {self.stage_id}] ✅ Dict result: {result}") + inference_result = result + else: + inference_result = result - # Step 3: Output postprocessing (inter-stage) - processed_result = inference_result - if self.output_postprocessor: - if 'raw_output' in inference_result: - processed_result = self.output_postprocessor.process( - inference_result['raw_output'] - ) - # Merge with original result - processed_result.update(inference_result) + # If no result, use default (don't spam logs) + if not inference_result: + inference_result = {'probability': 0.0, 'result': 'Processing', 'status': 'async'} # Step 4: Update pipeline data pipeline_data.stage_results[self.stage_id] = processed_result diff --git a/cluster4npu_ui/core/functions/Multidongle.py b/cluster4npu_ui/core/functions/Multidongle.py index 5c0d6a0..8700f27 100644 --- a/cluster4npu_ui/core/functions/Multidongle.py +++ b/cluster4npu_ui/core/functions/Multidongle.py @@ -417,19 +417,19 @@ class MultiDongle: try: # Get image and format from the input queue - # Block until an item is available + # Blocks until an item is available or stop event is set/timeout occurs try: - item = self._input_queue.get(block=True, timeout=1.0) - # Check if this is our sentinel value to stop + # Use get with timeout or check stop event in a loop + # This pattern allows thread to check stop event while waiting on queue + item = self._input_queue.get(block=True, timeout=0.1) + # Check if this is our sentinel value if item is None: - break + continue # Now safely unpack the tuple image_data, image_format_enum = item except queue.Empty: - # Check stop event and continue if timeout - if self._stop_event.is_set(): - break + # If queue is empty after timeout, check stop event and continue loop continue # Configure and send the image @@ -501,26 +501,24 @@ class MultiDongle: print("Stopping threads...") self._stop_event.set() - # Signal send thread to stop by putting sentinel value - try: - self._input_queue.put(None, timeout=1.0) - except queue.Full: - # Clear queue if it's full and try again - while not self._input_queue.empty(): - try: - self._input_queue.get_nowait() - except queue.Empty: - break - self._input_queue.put(None) + # Clear queues to unblock threads + while not self._input_queue.empty(): + try: + self._input_queue.get_nowait() + except queue.Empty: + break + + # Signal send thread to wake up + self._input_queue.put(None) # Join threads with timeout for thread, name in [(self._send_thread, "Send"), (self._receive_thread, "Receive")]: if thread and thread.is_alive(): - thread.join(timeout=3.0) + thread.join(timeout=2.0) if thread.is_alive(): print(f"Warning: {name} thread didn't stop cleanly") - def put_input(self, image: Union[str, np.ndarray], format: str, target_size: Tuple[int, int] = None, block: bool = True, timeout: float = None): + def put_input(self, image: Union[str, np.ndarray], format: str, target_size: Tuple[int, int] = None): """ Put an image into the input queue with flexible preprocessing """ @@ -541,13 +539,7 @@ class MultiDongle: else: raise ValueError(f"Unsupported format: {format}") - try: - self._input_queue.put((image_data, image_format_enum), block=block, timeout=timeout) - except queue.Full: - if not block: - print("Warning: Input queue is full, dropping frame") - else: - raise + self._input_queue.put((image_data, image_format_enum)) def get_output(self, timeout: float = None): """ @@ -695,12 +687,12 @@ class WebcamInferenceRunner: self.display_fps_start_time = time.time() self.display_frame_counter += 1 - # Preprocess and send frame (non-blocking) + # Preprocess and send frame processed_frame = self.multidongle.preprocess_frame(frame, self.image_format) - self.multidongle.put_input(processed_frame, self.image_format, block=False) + self.multidongle.put_input(processed_frame, self.image_format) - # Try to get inference result (non-blocking) - prob, result = self.multidongle.get_latest_inference_result(timeout=0.001) + # Get inference result + prob, result = self.multidongle.get_latest_inference_result() if prob is not None: # Track inference FPS if self.inference_fps_start_time is None: diff --git a/cluster4npu_ui/test.mflow b/cluster4npu_ui/test.mflow index 0ae6c51..a9174d4 100644 --- a/cluster4npu_ui/test.mflow +++ b/cluster4npu_ui/test.mflow @@ -3,7 +3,7 @@ "description": "", "nodes": [ { - "id": "0x1dffd7b5990", + "id": "0x1ba4f6792d0", "name": "Input Node", "type": "ExactInputNode", "pos": [ @@ -19,7 +19,7 @@ } }, { - "id": "0x1dffd7d4f10", + "id": "0x1ba4f6948d0", "name": "Model Node", "type": "ExactModelNode", "pos": [ @@ -32,11 +32,11 @@ "model_path": "C:/Users/mason/AppData/Local/Kneron_Academy/utils/yolov5s/yolov5s/kl520_20005_yolov5-noupsample_w640h640.nef", "scpu_fw_path": "C:/Users/mason/Downloads/kneron_plus_v3.1.2/kneron_plus/res/firmware/KL520/fw_scpu.bin", "ncpu_fw_path": "C:/Users/mason/Downloads/kneron_plus_v3.1.2/kneron_plus/res/firmware/KL520/fw_ncpu.bin", - "port_id": "32" + "port_id": "6, 32" } }, { - "id": "0x1dffd7d6c90", + "id": "0x1ba4f696510", "name": "Output Node", "type": "ExactOutputNode", "pos": [ @@ -51,7 +51,7 @@ } }, { - "id": "0x1dffd7d7f50", + "id": "0x1ba4f697810", "name": "Preprocess Node", "type": "ExactPreprocessNode", "pos": [ @@ -67,21 +67,21 @@ ], "connections": [ { - "input_node": "0x1dffd7d7f50", + "input_node": "0x1ba4f697810", "input_port": "input", - "output_node": "0x1dffd7b5990", + "output_node": "0x1ba4f6792d0", "output_port": "output" }, { - "input_node": "0x1dffd7d6c90", + "input_node": "0x1ba4f696510", "input_port": "input", - "output_node": "0x1dffd7d4f10", + "output_node": "0x1ba4f6948d0", "output_port": "output" }, { - "input_node": "0x1dffd7d4f10", + "input_node": "0x1ba4f6948d0", "input_port": "input", - "output_node": "0x1dffd7d7f50", + "output_node": "0x1ba4f697810", "output_port": "output" } ], diff --git a/pyproject.toml b/pyproject.toml index b20b376..f2f63d0 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -3,11 +3,11 @@ name = "cluster4npu" version = "0.1.0" description = "Add your description here" readme = "README.md" -requires-python = "<=3.12" +requires-python = ">=3.10, <3.12" dependencies = [ "nodegraphqt>=0.6.38", "numpy>=2.2.6", "odengraphqt>=0.7.4", "opencv-python>=4.11.0.86", "pyqt5>=5.15.11", -] +] \ No newline at end of file diff --git a/uv.lock b/uv.lock index e9debcf..cd715a6 100644 --- a/uv.lock +++ b/uv.lock @@ -1,10 +1,13 @@ version = 1 revision = 2 -requires-python = ">=3.12" +requires-python = ">=3.10, <3.12" resolution-markers = [ - "sys_platform == 'darwin'", - "platform_machine == 'aarch64' and sys_platform == 'linux'", - "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')", + "python_full_version >= '3.11' and sys_platform == 'darwin'", + "python_full_version >= '3.11' and platform_machine == 'aarch64' and sys_platform == 'linux'", + "(python_full_version >= '3.11' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.11' and sys_platform != 'darwin' and sys_platform != 'linux')", + "python_full_version < '3.11' and sys_platform == 'darwin'", + "python_full_version < '3.11' and platform_machine == 'aarch64' and sys_platform == 'linux'", + "(python_full_version < '3.11' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform != 'darwin' and sys_platform != 'linux')", ] [[package]] @@ -16,8 +19,6 @@ dependencies = [ { name = "numpy" }, { name = "odengraphqt" }, { name = "opencv-python" }, - { name = "pyqt5" }, - { name = "qt-py" }, ] [package.metadata] @@ -26,8 +27,6 @@ requires-dist = [ { name = "numpy", specifier = ">=2.2.6" }, { name = "odengraphqt", specifier = ">=0.7.4" }, { name = "opencv-python", specifier = ">=4.11.0.86" }, - { name = "pyqt5", specifier = ">=5.15.11" }, - { name = "qt-py", specifier = ">=1.4.6" }, ] [[package]] @@ -48,36 +47,30 @@ version = "2.2.6" source = { registry = "https://pypi.org/simple" } sdist = { url = "https://files.pythonhosted.org/packages/76/21/7d2a95e4bba9dc13d043ee156a356c0a8f0c6309dff6b21b4d71a073b8a8/numpy-2.2.6.tar.gz", hash = "sha256:e29554e2bef54a90aa5cc07da6ce955accb83f21ab5de01a62c8478897b264fd", size = 20276440, upload-time = "2025-05-17T22:38:04.611Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/82/5d/c00588b6cf18e1da539b45d3598d3557084990dcc4331960c15ee776ee41/numpy-2.2.6-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:41c5a21f4a04fa86436124d388f6ed60a9343a6f767fced1a8a71c3fbca038ff", size = 20875348, upload-time = "2025-05-17T21:34:39.648Z" }, - { url = "https://files.pythonhosted.org/packages/66/ee/560deadcdde6c2f90200450d5938f63a34b37e27ebff162810f716f6a230/numpy-2.2.6-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:de749064336d37e340f640b05f24e9e3dd678c57318c7289d222a8a2f543e90c", size = 14119362, upload-time = "2025-05-17T21:35:01.241Z" }, - { url = "https://files.pythonhosted.org/packages/3c/65/4baa99f1c53b30adf0acd9a5519078871ddde8d2339dc5a7fde80d9d87da/numpy-2.2.6-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:894b3a42502226a1cac872f840030665f33326fc3dac8e57c607905773cdcde3", size = 5084103, upload-time = "2025-05-17T21:35:10.622Z" }, - { url = "https://files.pythonhosted.org/packages/cc/89/e5a34c071a0570cc40c9a54eb472d113eea6d002e9ae12bb3a8407fb912e/numpy-2.2.6-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:71594f7c51a18e728451bb50cc60a3ce4e6538822731b2933209a1f3614e9282", size = 6625382, upload-time = "2025-05-17T21:35:21.414Z" }, - { url = "https://files.pythonhosted.org/packages/f8/35/8c80729f1ff76b3921d5c9487c7ac3de9b2a103b1cd05e905b3090513510/numpy-2.2.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f2618db89be1b4e05f7a1a847a9c1c0abd63e63a1607d892dd54668dd92faf87", size = 14018462, upload-time = "2025-05-17T21:35:42.174Z" }, - { url = "https://files.pythonhosted.org/packages/8c/3d/1e1db36cfd41f895d266b103df00ca5b3cbe965184df824dec5c08c6b803/numpy-2.2.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd83c01228a688733f1ded5201c678f0c53ecc1006ffbc404db9f7a899ac6249", size = 16527618, upload-time = "2025-05-17T21:36:06.711Z" }, - { url = "https://files.pythonhosted.org/packages/61/c6/03ed30992602c85aa3cd95b9070a514f8b3c33e31124694438d88809ae36/numpy-2.2.6-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:37c0ca431f82cd5fa716eca9506aefcabc247fb27ba69c5062a6d3ade8cf8f49", size = 15505511, upload-time = "2025-05-17T21:36:29.965Z" }, - { url = "https://files.pythonhosted.org/packages/b7/25/5761d832a81df431e260719ec45de696414266613c9ee268394dd5ad8236/numpy-2.2.6-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:fe27749d33bb772c80dcd84ae7e8df2adc920ae8297400dabec45f0dedb3f6de", size = 18313783, upload-time = "2025-05-17T21:36:56.883Z" }, - { url = "https://files.pythonhosted.org/packages/57/0a/72d5a3527c5ebffcd47bde9162c39fae1f90138c961e5296491ce778e682/numpy-2.2.6-cp312-cp312-win32.whl", hash = "sha256:4eeaae00d789f66c7a25ac5f34b71a7035bb474e679f410e5e1a94deb24cf2d4", size = 6246506, upload-time = "2025-05-17T21:37:07.368Z" }, - { url = "https://files.pythonhosted.org/packages/36/fa/8c9210162ca1b88529ab76b41ba02d433fd54fecaf6feb70ef9f124683f1/numpy-2.2.6-cp312-cp312-win_amd64.whl", hash = "sha256:c1f9540be57940698ed329904db803cf7a402f3fc200bfe599334c9bd84a40b2", size = 12614190, upload-time = "2025-05-17T21:37:26.213Z" }, - { url = "https://files.pythonhosted.org/packages/f9/5c/6657823f4f594f72b5471f1db1ab12e26e890bb2e41897522d134d2a3e81/numpy-2.2.6-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:0811bb762109d9708cca4d0b13c4f67146e3c3b7cf8d34018c722adb2d957c84", size = 20867828, upload-time = "2025-05-17T21:37:56.699Z" }, - { url = "https://files.pythonhosted.org/packages/dc/9e/14520dc3dadf3c803473bd07e9b2bd1b69bc583cb2497b47000fed2fa92f/numpy-2.2.6-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:287cc3162b6f01463ccd86be154f284d0893d2b3ed7292439ea97eafa8170e0b", size = 14143006, upload-time = "2025-05-17T21:38:18.291Z" }, - { url = "https://files.pythonhosted.org/packages/4f/06/7e96c57d90bebdce9918412087fc22ca9851cceaf5567a45c1f404480e9e/numpy-2.2.6-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:f1372f041402e37e5e633e586f62aa53de2eac8d98cbfb822806ce4bbefcb74d", size = 5076765, upload-time = "2025-05-17T21:38:27.319Z" }, - { url = "https://files.pythonhosted.org/packages/73/ed/63d920c23b4289fdac96ddbdd6132e9427790977d5457cd132f18e76eae0/numpy-2.2.6-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:55a4d33fa519660d69614a9fad433be87e5252f4b03850642f88993f7b2ca566", size = 6617736, upload-time = "2025-05-17T21:38:38.141Z" }, - { url = "https://files.pythonhosted.org/packages/85/c5/e19c8f99d83fd377ec8c7e0cf627a8049746da54afc24ef0a0cb73d5dfb5/numpy-2.2.6-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f92729c95468a2f4f15e9bb94c432a9229d0d50de67304399627a943201baa2f", size = 14010719, upload-time = "2025-05-17T21:38:58.433Z" }, - { url = "https://files.pythonhosted.org/packages/19/49/4df9123aafa7b539317bf6d342cb6d227e49f7a35b99c287a6109b13dd93/numpy-2.2.6-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1bc23a79bfabc5d056d106f9befb8d50c31ced2fbc70eedb8155aec74a45798f", size = 16526072, upload-time = "2025-05-17T21:39:22.638Z" }, - { url = "https://files.pythonhosted.org/packages/b2/6c/04b5f47f4f32f7c2b0e7260442a8cbcf8168b0e1a41ff1495da42f42a14f/numpy-2.2.6-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:e3143e4451880bed956e706a3220b4e5cf6172ef05fcc397f6f36a550b1dd868", size = 15503213, upload-time = "2025-05-17T21:39:45.865Z" }, - { url = "https://files.pythonhosted.org/packages/17/0a/5cd92e352c1307640d5b6fec1b2ffb06cd0dabe7d7b8227f97933d378422/numpy-2.2.6-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:b4f13750ce79751586ae2eb824ba7e1e8dba64784086c98cdbbcc6a42112ce0d", size = 18316632, upload-time = "2025-05-17T21:40:13.331Z" }, - { url = "https://files.pythonhosted.org/packages/f0/3b/5cba2b1d88760ef86596ad0f3d484b1cbff7c115ae2429678465057c5155/numpy-2.2.6-cp313-cp313-win32.whl", hash = "sha256:5beb72339d9d4fa36522fc63802f469b13cdbe4fdab4a288f0c441b74272ebfd", size = 6244532, upload-time = "2025-05-17T21:43:46.099Z" }, - { url = "https://files.pythonhosted.org/packages/cb/3b/d58c12eafcb298d4e6d0d40216866ab15f59e55d148a5658bb3132311fcf/numpy-2.2.6-cp313-cp313-win_amd64.whl", hash = "sha256:b0544343a702fa80c95ad5d3d608ea3599dd54d4632df855e4c8d24eb6ecfa1c", size = 12610885, upload-time = "2025-05-17T21:44:05.145Z" }, - { url = "https://files.pythonhosted.org/packages/6b/9e/4bf918b818e516322db999ac25d00c75788ddfd2d2ade4fa66f1f38097e1/numpy-2.2.6-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:0bca768cd85ae743b2affdc762d617eddf3bcf8724435498a1e80132d04879e6", size = 20963467, upload-time = "2025-05-17T21:40:44Z" }, - { url = "https://files.pythonhosted.org/packages/61/66/d2de6b291507517ff2e438e13ff7b1e2cdbdb7cb40b3ed475377aece69f9/numpy-2.2.6-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:fc0c5673685c508a142ca65209b4e79ed6740a4ed6b2267dbba90f34b0b3cfda", size = 14225144, upload-time = "2025-05-17T21:41:05.695Z" }, - { url = "https://files.pythonhosted.org/packages/e4/25/480387655407ead912e28ba3a820bc69af9adf13bcbe40b299d454ec011f/numpy-2.2.6-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:5bd4fc3ac8926b3819797a7c0e2631eb889b4118a9898c84f585a54d475b7e40", size = 5200217, upload-time = "2025-05-17T21:41:15.903Z" }, - { url = "https://files.pythonhosted.org/packages/aa/4a/6e313b5108f53dcbf3aca0c0f3e9c92f4c10ce57a0a721851f9785872895/numpy-2.2.6-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:fee4236c876c4e8369388054d02d0e9bb84821feb1a64dd59e137e6511a551f8", size = 6712014, upload-time = "2025-05-17T21:41:27.321Z" }, - { url = "https://files.pythonhosted.org/packages/b7/30/172c2d5c4be71fdf476e9de553443cf8e25feddbe185e0bd88b096915bcc/numpy-2.2.6-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e1dda9c7e08dc141e0247a5b8f49cf05984955246a327d4c48bda16821947b2f", size = 14077935, upload-time = "2025-05-17T21:41:49.738Z" }, - { url = "https://files.pythonhosted.org/packages/12/fb/9e743f8d4e4d3c710902cf87af3512082ae3d43b945d5d16563f26ec251d/numpy-2.2.6-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f447e6acb680fd307f40d3da4852208af94afdfab89cf850986c3ca00562f4fa", size = 16600122, upload-time = "2025-05-17T21:42:14.046Z" }, - { url = "https://files.pythonhosted.org/packages/12/75/ee20da0e58d3a66f204f38916757e01e33a9737d0b22373b3eb5a27358f9/numpy-2.2.6-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:389d771b1623ec92636b0786bc4ae56abafad4a4c513d36a55dce14bd9ce8571", size = 15586143, upload-time = "2025-05-17T21:42:37.464Z" }, - { url = "https://files.pythonhosted.org/packages/76/95/bef5b37f29fc5e739947e9ce5179ad402875633308504a52d188302319c8/numpy-2.2.6-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:8e9ace4a37db23421249ed236fdcdd457d671e25146786dfc96835cd951aa7c1", size = 18385260, upload-time = "2025-05-17T21:43:05.189Z" }, - { url = "https://files.pythonhosted.org/packages/09/04/f2f83279d287407cf36a7a8053a5abe7be3622a4363337338f2585e4afda/numpy-2.2.6-cp313-cp313t-win32.whl", hash = "sha256:038613e9fb8c72b0a41f025a7e4c3f0b7a1b5d768ece4796b674c8f3fe13efff", size = 6377225, upload-time = "2025-05-17T21:43:16.254Z" }, - { url = "https://files.pythonhosted.org/packages/67/0e/35082d13c09c02c011cf21570543d202ad929d961c02a147493cb0c2bdf5/numpy-2.2.6-cp313-cp313t-win_amd64.whl", hash = "sha256:6031dd6dfecc0cf9f668681a37648373bddd6421fff6c66ec1624eed0180ee06", size = 12771374, upload-time = "2025-05-17T21:43:35.479Z" }, + { url = "https://files.pythonhosted.org/packages/9a/3e/ed6db5be21ce87955c0cbd3009f2803f59fa08df21b5df06862e2d8e2bdd/numpy-2.2.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b412caa66f72040e6d268491a59f2c43bf03eb6c96dd8f0307829feb7fa2b6fb", size = 21165245, upload-time = "2025-05-17T21:27:58.555Z" }, + { url = "https://files.pythonhosted.org/packages/22/c2/4b9221495b2a132cc9d2eb862e21d42a009f5a60e45fc44b00118c174bff/numpy-2.2.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8e41fd67c52b86603a91c1a505ebaef50b3314de0213461c7a6e99c9a3beff90", size = 14360048, upload-time = "2025-05-17T21:28:21.406Z" }, + { url = "https://files.pythonhosted.org/packages/fd/77/dc2fcfc66943c6410e2bf598062f5959372735ffda175b39906d54f02349/numpy-2.2.6-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:37e990a01ae6ec7fe7fa1c26c55ecb672dd98b19c3d0e1d1f326fa13cb38d163", size = 5340542, upload-time = "2025-05-17T21:28:30.931Z" }, + { url = "https://files.pythonhosted.org/packages/7a/4f/1cb5fdc353a5f5cc7feb692db9b8ec2c3d6405453f982435efc52561df58/numpy-2.2.6-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:5a6429d4be8ca66d889b7cf70f536a397dc45ba6faeb5f8c5427935d9592e9cf", size = 6878301, upload-time = "2025-05-17T21:28:41.613Z" }, + { url = "https://files.pythonhosted.org/packages/eb/17/96a3acd228cec142fcb8723bd3cc39c2a474f7dcf0a5d16731980bcafa95/numpy-2.2.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:efd28d4e9cd7d7a8d39074a4d44c63eda73401580c5c76acda2ce969e0a38e83", size = 14297320, upload-time = "2025-05-17T21:29:02.78Z" }, + { url = "https://files.pythonhosted.org/packages/b4/63/3de6a34ad7ad6646ac7d2f55ebc6ad439dbbf9c4370017c50cf403fb19b5/numpy-2.2.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fc7b73d02efb0e18c000e9ad8b83480dfcd5dfd11065997ed4c6747470ae8915", size = 16801050, upload-time = "2025-05-17T21:29:27.675Z" }, + { url = "https://files.pythonhosted.org/packages/07/b6/89d837eddef52b3d0cec5c6ba0456c1bf1b9ef6a6672fc2b7873c3ec4e2e/numpy-2.2.6-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:74d4531beb257d2c3f4b261bfb0fc09e0f9ebb8842d82a7b4209415896adc680", size = 15807034, upload-time = "2025-05-17T21:29:51.102Z" }, + { url = "https://files.pythonhosted.org/packages/01/c8/dc6ae86e3c61cfec1f178e5c9f7858584049b6093f843bca541f94120920/numpy-2.2.6-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:8fc377d995680230e83241d8a96def29f204b5782f371c532579b4f20607a289", size = 18614185, upload-time = "2025-05-17T21:30:18.703Z" }, + { url = "https://files.pythonhosted.org/packages/5b/c5/0064b1b7e7c89137b471ccec1fd2282fceaae0ab3a9550f2568782d80357/numpy-2.2.6-cp310-cp310-win32.whl", hash = "sha256:b093dd74e50a8cba3e873868d9e93a85b78e0daf2e98c6797566ad8044e8363d", size = 6527149, upload-time = "2025-05-17T21:30:29.788Z" }, + { url = "https://files.pythonhosted.org/packages/a3/dd/4b822569d6b96c39d1215dbae0582fd99954dcbcf0c1a13c61783feaca3f/numpy-2.2.6-cp310-cp310-win_amd64.whl", hash = "sha256:f0fd6321b839904e15c46e0d257fdd101dd7f530fe03fd6359c1ea63738703f3", size = 12904620, upload-time = "2025-05-17T21:30:48.994Z" }, + { url = "https://files.pythonhosted.org/packages/da/a8/4f83e2aa666a9fbf56d6118faaaf5f1974d456b1823fda0a176eff722839/numpy-2.2.6-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f9f1adb22318e121c5c69a09142811a201ef17ab257a1e66ca3025065b7f53ae", size = 21176963, upload-time = "2025-05-17T21:31:19.36Z" }, + { url = "https://files.pythonhosted.org/packages/b3/2b/64e1affc7972decb74c9e29e5649fac940514910960ba25cd9af4488b66c/numpy-2.2.6-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c820a93b0255bc360f53eca31a0e676fd1101f673dda8da93454a12e23fc5f7a", size = 14406743, upload-time = "2025-05-17T21:31:41.087Z" }, + { url = "https://files.pythonhosted.org/packages/4a/9f/0121e375000b5e50ffdd8b25bf78d8e1a5aa4cca3f185d41265198c7b834/numpy-2.2.6-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:3d70692235e759f260c3d837193090014aebdf026dfd167834bcba43e30c2a42", size = 5352616, upload-time = "2025-05-17T21:31:50.072Z" }, + { url = "https://files.pythonhosted.org/packages/31/0d/b48c405c91693635fbe2dcd7bc84a33a602add5f63286e024d3b6741411c/numpy-2.2.6-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:481b49095335f8eed42e39e8041327c05b0f6f4780488f61286ed3c01368d491", size = 6889579, upload-time = "2025-05-17T21:32:01.712Z" }, + { url = "https://files.pythonhosted.org/packages/52/b8/7f0554d49b565d0171eab6e99001846882000883998e7b7d9f0d98b1f934/numpy-2.2.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b64d8d4d17135e00c8e346e0a738deb17e754230d7e0810ac5012750bbd85a5a", size = 14312005, upload-time = "2025-05-17T21:32:23.332Z" }, + { url = "https://files.pythonhosted.org/packages/b3/dd/2238b898e51bd6d389b7389ffb20d7f4c10066d80351187ec8e303a5a475/numpy-2.2.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba10f8411898fc418a521833e014a77d3ca01c15b0c6cdcce6a0d2897e6dbbdf", size = 16821570, upload-time = "2025-05-17T21:32:47.991Z" }, + { url = "https://files.pythonhosted.org/packages/83/6c/44d0325722cf644f191042bf47eedad61c1e6df2432ed65cbe28509d404e/numpy-2.2.6-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:bd48227a919f1bafbdda0583705e547892342c26fb127219d60a5c36882609d1", size = 15818548, upload-time = "2025-05-17T21:33:11.728Z" }, + { url = "https://files.pythonhosted.org/packages/ae/9d/81e8216030ce66be25279098789b665d49ff19eef08bfa8cb96d4957f422/numpy-2.2.6-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:9551a499bf125c1d4f9e250377c1ee2eddd02e01eac6644c080162c0c51778ab", size = 18620521, upload-time = "2025-05-17T21:33:39.139Z" }, + { url = "https://files.pythonhosted.org/packages/6a/fd/e19617b9530b031db51b0926eed5345ce8ddc669bb3bc0044b23e275ebe8/numpy-2.2.6-cp311-cp311-win32.whl", hash = "sha256:0678000bb9ac1475cd454c6b8c799206af8107e310843532b04d49649c717a47", size = 6525866, upload-time = "2025-05-17T21:33:50.273Z" }, + { url = "https://files.pythonhosted.org/packages/31/0a/f354fb7176b81747d870f7991dc763e157a934c717b67b58456bc63da3df/numpy-2.2.6-cp311-cp311-win_amd64.whl", hash = "sha256:e8213002e427c69c45a52bbd94163084025f533a55a59d6f9c5b820774ef3303", size = 12907455, upload-time = "2025-05-17T21:34:09.135Z" }, + { url = "https://files.pythonhosted.org/packages/9e/3b/d94a75f4dbf1ef5d321523ecac21ef23a3cd2ac8b78ae2aac40873590229/numpy-2.2.6-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:0b605b275d7bd0c640cad4e5d30fa701a8d59302e127e5f79138ad62762c3e3d", size = 21040391, upload-time = "2025-05-17T21:44:35.948Z" }, + { url = "https://files.pythonhosted.org/packages/17/f4/09b2fa1b58f0fb4f7c7963a1649c64c4d315752240377ed74d9cd878f7b5/numpy-2.2.6-pp310-pypy310_pp73-macosx_14_0_x86_64.whl", hash = "sha256:7befc596a7dc9da8a337f79802ee8adb30a552a94f792b9c9d18c840055907db", size = 6786754, upload-time = "2025-05-17T21:44:47.446Z" }, + { url = "https://files.pythonhosted.org/packages/af/30/feba75f143bdc868a1cc3f44ccfa6c4b9ec522b36458e738cd00f67b573f/numpy-2.2.6-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ce47521a4754c8f4593837384bd3424880629f718d87c5d44f8ed763edd63543", size = 16643476, upload-time = "2025-05-17T21:45:11.871Z" }, + { url = "https://files.pythonhosted.org/packages/37/48/ac2a9584402fb6c0cd5b5d1a91dcf176b15760130dd386bbafdbfe3640bf/numpy-2.2.6-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:d042d24c90c41b54fd506da306759e06e568864df8ec17ccc17e9e884634fd00", size = 12812666, upload-time = "2025-05-17T21:45:31.426Z" }, ] [[package]] @@ -120,49 +113,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/20/12/38679034af332785aac8774540895e234f4d07f7545804097de4b666afd8/packaging-25.0-py3-none-any.whl", hash = "sha256:29572ef2b1f17581046b3a2227d5c611fb25ec70ca1ba8554b24b0e69331a484", size = 66469, upload-time = "2025-04-19T11:48:57.875Z" }, ] -[[package]] -name = "pyqt5" -version = "5.15.11" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "pyqt5-qt5" }, - { name = "pyqt5-sip" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/0e/07/c9ed0bd428df6f87183fca565a79fee19fa7c88c7f00a7f011ab4379e77a/PyQt5-5.15.11.tar.gz", hash = "sha256:fda45743ebb4a27b4b1a51c6d8ef455c4c1b5d610c90d2934c7802b5c1557c52", size = 3216775, upload-time = "2024-07-19T08:39:57.756Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/11/64/42ec1b0bd72d87f87bde6ceb6869f444d91a2d601f2e67cd05febc0346a1/PyQt5-5.15.11-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:c8b03dd9380bb13c804f0bdb0f4956067f281785b5e12303d529f0462f9afdc2", size = 6579776, upload-time = "2024-07-19T08:39:19.775Z" }, - { url = "https://files.pythonhosted.org/packages/49/f5/3fb696f4683ea45d68b7e77302eff173493ac81e43d63adb60fa760b9f91/PyQt5-5.15.11-cp38-abi3-macosx_11_0_x86_64.whl", hash = "sha256:6cd75628f6e732b1ffcfe709ab833a0716c0445d7aec8046a48d5843352becb6", size = 7016415, upload-time = "2024-07-19T08:39:32.977Z" }, - { url = "https://files.pythonhosted.org/packages/b4/8c/4065950f9d013c4b2e588fe33cf04e564c2322842d84dbcbce5ba1dc28b0/PyQt5-5.15.11-cp38-abi3-manylinux_2_17_x86_64.whl", hash = "sha256:cd672a6738d1ae33ef7d9efa8e6cb0a1525ecf53ec86da80a9e1b6ec38c8d0f1", size = 8188103, upload-time = "2024-07-19T08:39:40.561Z" }, - { url = "https://files.pythonhosted.org/packages/f3/f0/ae5a5b4f9b826b29ea4be841b2f2d951bcf5ae1d802f3732b145b57c5355/PyQt5-5.15.11-cp38-abi3-win32.whl", hash = "sha256:76be0322ceda5deecd1708a8d628e698089a1cea80d1a49d242a6d579a40babd", size = 5433308, upload-time = "2024-07-19T08:39:46.932Z" }, - { url = "https://files.pythonhosted.org/packages/56/d5/68eb9f3d19ce65df01b6c7b7a577ad3bbc9ab3a5dd3491a4756e71838ec9/PyQt5-5.15.11-cp38-abi3-win_amd64.whl", hash = "sha256:bdde598a3bb95022131a5c9ea62e0a96bd6fb28932cc1619fd7ba211531b7517", size = 6865864, upload-time = "2024-07-19T08:39:53.572Z" }, -] - -[[package]] -name = "pyqt5-qt5" -version = "5.15.17" -source = { registry = "https://pypi.org/simple" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/d3/f9/accb06e76e23fb23053d48cc24fd78dec6ed14cb4d5cbadb0fd4a0c1b02e/PyQt5_Qt5-5.15.17-py3-none-macosx_10_13_x86_64.whl", hash = "sha256:d8b8094108e748b4bbd315737cfed81291d2d228de43278f0b8bd7d2b808d2b9", size = 39972275, upload-time = "2025-05-24T11:15:42.259Z" }, - { url = "https://files.pythonhosted.org/packages/87/1a/e1601ad6934cc489b8f1e967494f23958465cf1943712f054c5a306e9029/PyQt5_Qt5-5.15.17-py3-none-macosx_11_0_arm64.whl", hash = "sha256:b68628f9b8261156f91d2f72ebc8dfb28697c4b83549245d9a68195bd2d74f0c", size = 37135109, upload-time = "2025-05-24T11:15:59.786Z" }, - { url = "https://files.pythonhosted.org/packages/ac/e1/13d25a9ff2ac236a264b4603abaa39fa8bb9a7aa430519bb5f545c5b008d/PyQt5_Qt5-5.15.17-py3-none-manylinux2014_x86_64.whl", hash = "sha256:b018f75d1cc61146396fa5af14da1db77c5d6318030e5e366f09ffdf7bd358d8", size = 61112954, upload-time = "2025-05-24T11:16:26.036Z" }, -] - -[[package]] -name = "pyqt5-sip" -version = "12.17.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/01/79/086b50414bafa71df494398ad277d72e58229a3d1c1b1c766d12b14c2e6d/pyqt5_sip-12.17.0.tar.gz", hash = "sha256:682dadcdbd2239af9fdc0c0628e2776b820e128bec88b49b8d692fe682f90b4f", size = 104042, upload-time = "2025-02-02T17:13:11.268Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/a3/e6/e51367c28d69b5a462f38987f6024e766fd8205f121fe2f4d8ba2a6886b9/PyQt5_sip-12.17.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:ea08341c8a5da00c81df0d689ecd4ee47a95e1ecad9e362581c92513f2068005", size = 124650, upload-time = "2025-02-02T17:12:50.595Z" }, - { url = "https://files.pythonhosted.org/packages/64/3b/e6d1f772b41d8445d6faf86cc9da65910484ebd9f7df83abc5d4955437d0/PyQt5_sip-12.17.0-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:4a92478d6808040fbe614bb61500fbb3f19f72714b99369ec28d26a7e3494115", size = 281893, upload-time = "2025-02-02T17:12:51.966Z" }, - { url = "https://files.pythonhosted.org/packages/ed/c5/d17fc2ddb9156a593710c88afd98abcf4055a2224b772f8bec2c6eea879c/PyQt5_sip-12.17.0-cp312-cp312-win32.whl", hash = "sha256:b0ff280b28813e9bfd3a4de99490739fc29b776dc48f1c849caca7239a10fc8b", size = 49438, upload-time = "2025-02-02T17:12:54.426Z" }, - { url = "https://files.pythonhosted.org/packages/fe/c5/1174988d52c732d07033cf9a5067142b01d76be7731c6394a64d5c3ef65c/PyQt5_sip-12.17.0-cp312-cp312-win_amd64.whl", hash = "sha256:54c31de7706d8a9a8c0fc3ea2c70468aba54b027d4974803f8eace9c22aad41c", size = 58017, upload-time = "2025-02-02T17:12:56.31Z" }, - { url = "https://files.pythonhosted.org/packages/fd/5d/f234e505af1a85189310521447ebc6052ebb697efded850d0f2b2555f7aa/PyQt5_sip-12.17.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:c7a7ff355e369616b6bcb41d45b742327c104b2bf1674ec79b8d67f8f2fa9543", size = 124580, upload-time = "2025-02-02T17:12:58.158Z" }, - { url = "https://files.pythonhosted.org/packages/cd/cb/3b2050e9644d0021bdf25ddf7e4c3526e1edd0198879e76ba308e5d44faf/PyQt5_sip-12.17.0-cp313-cp313-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:419b9027e92b0b707632c370cfc6dc1f3b43c6313242fc4db57a537029bd179c", size = 281563, upload-time = "2025-02-02T17:12:59.421Z" }, - { url = "https://files.pythonhosted.org/packages/51/61/b8ebde7e0b32d0de44c521a0ace31439885b0423d7d45d010a2f7d92808c/PyQt5_sip-12.17.0-cp313-cp313-win32.whl", hash = "sha256:351beab964a19f5671b2a3e816ecf4d3543a99a7e0650f88a947fea251a7589f", size = 49383, upload-time = "2025-02-02T17:13:00.597Z" }, - { url = "https://files.pythonhosted.org/packages/15/ed/ff94d6b2910e7627380cb1fc9a518ff966e6d78285c8e54c9422b68305db/PyQt5_sip-12.17.0-cp313-cp313-win_amd64.whl", hash = "sha256:672c209d05661fab8e17607c193bf43991d268a1eefbc2c4551fbf30fd8bb2ca", size = 58022, upload-time = "2025-02-02T17:13:01.738Z" }, -] - [[package]] name = "pyside6" version = "6.8.1"