[TF-TRT] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory

System information

Have I written custom code (as opposed to using a stock example script provided in TensorFlow): yes
OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Jetson AGX Xavier Jetpack Version 4.5.1 ubuntu 18.04
Mobile device (e.g. iPhone 8, Pixel 2, Samsung Galaxy) if the issue happens on mobile device:
TensorFlow installed from (source or binary): nvidia container install
TensorFlow version (use command below): 7.1.3
Python version: 3.6.9
Bazel version (if compiling from source):
GCC/Compiler version (if compiling from source):
CUDA/cuDNN version: CUDA 10.2 cuDNN 8.0
GPU model and memory: Jetson AGX Xavier, 16GB

Describe the current behavior
Hi, while using TF-TRT, always I faced on an error 2021-10-04 00:54:11.478005: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory. when I called converter.build(input_fn=my_input_fn) method. (either the error raised at runtime when not call build() method for pre-build engine.)
(image : trials, parameter tuning minimum_segment_size and so on.)

But any of them couldn't remove that error message.
My entire source code wasn't different with any other example source codes.
# memory growing mode (already tried fixed gpu memory mode either.)
gpus = tf.config.experimental.list_physical_devices('GPU')
tf.config.experimental.set_memory_growth(gpus[0], True)

#https://github.com/tensorflow/tensorrt/issues/195
#https://github.com/tensorflow/tensorrt/issues/200
env = os.environ.get('TF_DEBUG_TRT_ALLOW_INEFFICIENT_TRANSPOSE')
new_env = os.environ['TF_DEBUG_TRT_ALLOW_INEFFICIENT_TRANSPOSE'] = "1"
print(f'Setting environment variable... TF_DEBUG_TRT_ALLOW_INEFFICIENT_TRANSPOSE={new_env}... (before {env})')

# Conversion Parameters
conversion_params = trt.TrtConversionParams(
    precision_mode=QUANTIZATION_MODE, # 'INT8' or 'FP16'
    max_workspace_size_bytes=MAX_GPU_TRTENGINE_SIZE_MB<<20, # 2048 ... etc.
    minimum_segment_size=MINIMUM_SEGMENT_SIZE, # 10 ... etc.
    maximum_cached_engines=MAXIMUM_CACHED_ENGINE, # 20 ... etc.
    use_calibration=True # This argument is ignored if precision_mode is not INT8.
    )

converter = trt.TrtGraphConverterV2(
    input_saved_model_dir=SAVED_MODEL_DIR,
    input_saved_model_tags=SAVED_MODEL_TAG_SET,
    input_saved_model_signature_key=SAVED_MODEL_SIGNATURE_DEF,
    conversion_params=conversion_params
    )

if QUANTIZATION_MODE.lower() == 'int8':
    print('Convert with calibration')
    converter.convert(
        calibration_input_fn=lambda:input_fn(args) # args : my command line input
        # input_fn returns numpy array [1, 320, 320, 3] shaped.
        ) # Maybe converter.convert() works fine...?
else:
    print('Convert without calibration')
    converter.convert()

print('[Info] Convert complete.')
print('[Info] Now prebuild trt-engine.')
converter.build(input_fn=lambda:input_fn(args)) # here raises error message, but process doesn't shut down.

optimized_saved_model_fulldir = parse_tftrt_path(args)

# Save the model to the disk
converter.save(optimized_saved_model_fulldir)
print('[Info] writing savedmodel complete.')

I found that optimized model does not improving model inference speed, so I guess the error is not just a warning. Maybe It's a bug.
Thanks!

Describe the expected behavior

no warning
inference speed improvement

Contributing

Do you want to contribute a PR? (yes/no): no
Briefly describe your candidate solution(if contributing):

Standalone code to reproduce the issue
Provide a reproducible test case that is the bare minimum necessary to generate
the problem. If possible, please share a link to Colab/Jupyter/any notebook.
COLAB's TF-TRT is unstable.
Other info / logs Include any logs or source code that would be helpful to
diagnose the problem. If including tracebacks, please include the full
traceback. Large logs and files should be attached.
model signature
==============================
2021-10-07 12:58:34.474165: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudart.so.10.2
The given SavedModel contains the following tag-sets:
'serve'

2021-10-07 12:59:08.535907: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudart.so.10.2
The given SavedModel MetaGraphDef contains SignatureDefs with the following keys:
SignatureDef key: "__saved_model_init_op"
SignatureDef key: "serving_default"

2021-10-07 12:59:41.622920: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudart.so.10.2
The given SavedModel SignatureDef contains the following input(s):
  inputs['input_1'] tensor_info:
      dtype: DT_FLOAT
      shape: (-1, -1, -1, 3)
      name: serving_default_input_1:0
The given SavedModel SignatureDef contains the following output(s):
  outputs['softmax'] tensor_info:
      dtype: DT_FLOAT
      shape: (-1, -1, -1, 9)
      name: StatefulPartitionedCall:0
Method name is: tensorflow/serving/predict
==============================

Entire program log description below
2021-10-07 12:58:32.487612: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcuda.so.1
2021-10-07 12:58:32.513042: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1001] ARM64 does not support NUMA - returning NUMA node zero
2021-10-07 12:58:32.513711: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1734] Found device 0 with properties:
pciBusID: 0000:00:00.0 name: Xavier computeCapability: 7.2
coreClock: 1.377GHz coreCount: 8 deviceMemorySize: 31.17GiB deviceMemoryBandwidth: 82.08GiB/s
2021-10-07 12:58:32.514587: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudart.so.10.2
2021-10-07 12:58:32.515218: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcublas.so.10
2021-10-07 12:58:32.515752: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcublasLt.so.10
2021-10-07 12:58:32.516480: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcufft.so.10
2021-10-07 12:58:32.522466: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcurand.so.10
2021-10-07 12:58:32.535133: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcusolver.so.10
2021-10-07 12:58:32.543363: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcusparse.so.10
2021-10-07 12:58:32.546243: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudnn.so.8
2021-10-07 12:58:32.546781: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1001] ARM64 does not support NUMA - returning NUMA node zero
2021-10-07 12:58:32.547194: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1001] ARM64 does not support NUMA - returning NUMA node zero
2021-10-07 12:58:32.547471: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1872] Adding visible gpu devices: 0

Setting environment variable... TF_DEBUG_TRT_ALLOW_INEFFICIENT_TRANSPOSE=1... (before None)
2021-10-07 13:00:15.205272: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libnvinfer.so.7
Convert with calibration
2021-10-07 13:01:31.023349: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1001] ARM64 does not support NUMA - returning NUMA node zero
2021-10-07 13:01:31.023722: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1734] Found device 0 with properties:
pciBusID: 0000:00:00.0 name: Xavier computeCapability: 7.2
coreClock: 1.377GHz coreCount: 8 deviceMemorySize: 31.17GiB deviceMemoryBandwidth: 82.08GiB/s
2021-10-07 13:01:31.024083: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1001] ARM64 does not support NUMA - returning NUMA node zero
2021-10-07 13:01:31.024338: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1001] ARM64 does not support NUMA - returning NUMA node zero
2021-10-07 13:01:31.024470: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1872] Adding visible gpu devices: 0
2021-10-07 13:01:31.025038: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudart.so.10.2
2021-10-07 13:01:36.768804: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1258] Device interconnect StreamExecutor with strength 1 edge matrix:
2021-10-07 13:01:36.768996: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1264]      0
2021-10-07 13:01:36.769069: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1277] 0:   N
2021-10-07 13:01:36.769398: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1001] ARM64 does not support NUMA - returning NUMA node zero
2021-10-07 13:01:36.769747: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1001] ARM64 does not support NUMA - returning NUMA node zero
2021-10-07 13:01:36.769976: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1001] ARM64 does not support NUMA - returning NUMA node zero
2021-10-07 13:01:36.770180: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1418] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 18830 MB memory) -> physical GPU (device: 0, name: Xavier, pci bus id: 0000:00:00.0, compute capability: 7.2)
2021-10-07 13:06:42.865817: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1001] ARM64 does not support NUMA - returning NUMA node zero
2021-10-07 13:06:42.866173: I tensorflow/core/grappler/devices.cc:69] Number of eligible GPUs (core count >= 8, compute capability >= 0.0): 1
2021-10-07 13:06:42.866754: I tensorflow/core/grappler/clusters/single_machine.cc:357] Starting new session
2021-10-07 13:06:42.870918: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1001] ARM64 does not support NUMA - returning NUMA node zero
2021-10-07 13:06:42.871261: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1734] Found device 0 with properties:
pciBusID: 0000:00:00.0 name: Xavier computeCapability: 7.2
coreClock: 1.377GHz coreCount: 8 deviceMemorySize: 31.17GiB deviceMemoryBandwidth: 82.08GiB/s
2021-10-07 13:06:42.871593: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1001] ARM64 does not support NUMA - returning NUMA node zero
2021-10-07 13:06:42.871875: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1001] ARM64 does not support NUMA - returning NUMA node zero
2021-10-07 13:06:42.872000: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1872] Adding visible gpu devices: 0
2021-10-07 13:06:42.872134: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1258] Device interconnect StreamExecutor with strength 1 edge matrix:
2021-10-07 13:06:42.872198: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1264]      0
2021-10-07 13:06:42.872245: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1277] 0:   N
2021-10-07 13:06:42.872483: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1001] ARM64 does not support NUMA - returning NUMA node zero
2021-10-07 13:06:42.872836: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1001] ARM64 does not support NUMA - returning NUMA node zero
2021-10-07 13:06:42.873158: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1418] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 18830 MB memory) -> physical GPU (device: 0, name: Xavier, pci bus id: 0000:00:00.0, compute capability: 7.2)
2021-10-07 13:06:42.874915: I tensorflow/core/platform/profile_utils/cpu_utils.cc:114] CPU Frequency: 31250000 Hz
2021-10-07 13:06:47.236124: I tensorflow/core/grappler/optimizers/meta_optimizer.cc:1171] Optimization results for grappler item: graph_to_optimize
  function_optimizer: Graph size after: 1216 nodes (901), 1824 edges (1509), time = 176.228ms.
  function_optimizer: function_optimizer did nothing. time = 2.022ms.

2021-10-07 13:07:39.201871: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1001] ARM64 does not support NUMA - returning NUMA node zero
2021-10-07 13:07:39.202299: I tensorflow/core/grappler/devices.cc:69] Number of eligible GPUs (core count >= 8, compute capability >= 0.0): 1
2021-10-07 13:07:39.202699: I tensorflow/core/grappler/clusters/single_machine.cc:357] Starting new session
2021-10-07 13:07:39.210304: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1001] ARM64 does not support NUMA - returning NUMA node zero
2021-10-07 13:07:39.210650: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1734] Found device 0 with properties:
pciBusID: 0000:00:00.0 name: Xavier computeCapability: 7.2
coreClock: 1.377GHz coreCount: 8 deviceMemorySize: 31.17GiB deviceMemoryBandwidth: 82.08GiB/s
2021-10-07 13:07:39.211093: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1001] ARM64 does not support NUMA - returning NUMA node zero
2021-10-07 13:07:39.211425: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1001] ARM64 does not support NUMA - returning NUMA node zero
2021-10-07 13:07:39.211551: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1872] Adding visible gpu devices: 0
2021-10-07 13:07:39.211696: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1258] Device interconnect StreamExecutor with strength 1 edge matrix:
2021-10-07 13:07:39.211766: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1264]      0
2021-10-07 13:07:39.211813: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1277] 0:   N
2021-10-07 13:07:39.212127: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1001] ARM64 does not support NUMA - returning NUMA node zero
2021-10-07 13:07:39.212488: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1001] ARM64 does not support NUMA - returning NUMA node zero
2021-10-07 13:07:39.212722: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1418] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 18830 MB memory) -> physical GPU (device: 0, name: Xavier, pci bus id: 0000:00:00.0, compute capability: 7.2)
2021-10-07 13:07:45.495807: I tensorflow/compiler/tf2tensorrt/segment/segment.cc:790] There are 30 ops of 8 different types in the graph that are not converted to TensorRT: Identity, ResizeNearestNeighbor, Placeholder, NoOp, Mul, Shape, DataFormatVecPermute, StridedSlice, (For more information see https://docs.nvidia.com/deeplearning/frameworks/tf-trt-user-guide/index.html#supported-ops).
2021-10-07 13:07:46.085000: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:759] Number of TensorRT candidate segments: 6
2021-10-07 13:07:46.227369: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:853] Replaced segment 0 consisting of 424 nodes by TRTEngineOp_0_0.
2021-10-07 13:07:46.232840: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:853] Replaced segment 1 consisting of 22 nodes by StatefulPartitionedCall/model/TRTEngineOp_0_1.
2021-10-07 13:07:46.234022: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:853] Replaced segment 2 consisting of 22 nodes by StatefulPartitionedCall/model/TRTEngineOp_0_2.
2021-10-07 13:07:46.234935: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:853] Replaced segment 3 consisting of 22 nodes by StatefulPartitionedCall/model/TRTEngineOp_0_3.
2021-10-07 13:07:46.236717: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:853] Replaced segment 4 consisting of 22 nodes by StatefulPartitionedCall/model/TRTEngineOp_0_4.
2021-10-07 13:07:46.237427: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:853] Replaced segment 5 consisting of 27 nodes by TRTEngineOp_0_5.
2021-10-07 13:07:47.073017: I tensorflow/core/grappler/optimizers/meta_optimizer.cc:1171] Optimization results for grappler item: tf_graph
  constant_folding: Graph size after: 558 nodes (-624), 1200 edges (-624), time = 554.18ms.
  layout: Graph size after: 595 nodes (37), 1237 edges (37), time = 328.333ms.
  constant_folding: Graph size after: 587 nodes (-8), 1229 edges (-8), time = 230.304ms.
  TensorRTOptimizer: Graph size after: 54 nodes (-533), 62 edges (-1167), time = 975.276ms.
  constant_folding: Graph size after: 54 nodes (0), 62 edges (0), time = 21.947ms.
Optimization results for grappler item: StatefulPartitionedCall/model/TRTEngineOp_0_1_native_segment
  constant_folding: Graph size after: 26 nodes (0), 25 edges (0), time = 26.112ms.
  layout: Graph size after: 26 nodes (0), 25 edges (0), time = 42.376ms.
  constant_folding: Graph size after: 26 nodes (0), 25 edges (0), time = 31.746ms.
  TensorRTOptimizer: Graph size after: 26 nodes (0), 25 edges (0), time = 5.574ms.
  constant_folding: Graph size after: 26 nodes (0), 25 edges (0), time = 22.56ms.
Optimization results for grappler item: StatefulPartitionedCall/model/TRTEngineOp_0_2_native_segment
  constant_folding: Graph size after: 26 nodes (0), 25 edges (0), time = 6.176ms.
  layout: Graph size after: 26 nodes (0), 25 edges (0), time = 9.286ms.
  constant_folding: Graph size after: 26 nodes (0), 25 edges (0), time = 8.636ms.
  TensorRTOptimizer: Graph size after: 26 nodes (0), 25 edges (0), time = 0.877ms.
  constant_folding: Graph size after: 26 nodes (0), 25 edges (0), time = 6.713ms.
Optimization results for grappler item: StatefulPartitionedCall/model/TRTEngineOp_0_4_native_segment
  constant_folding: Graph size after: 26 nodes (0), 25 edges (0), time = 4.232ms.
  layout: Graph size after: 26 nodes (0), 25 edges (0), time = 4.541ms.
  constant_folding: Graph size after: 26 nodes (0), 25 edges (0), time = 4.265ms.
  TensorRTOptimizer: Graph size after: 26 nodes (0), 25 edges (0), time = 0.405ms.
  constant_folding: Graph size after: 26 nodes (0), 25 edges (0), time = 4.41ms.
Optimization results for grappler item: TRTEngineOp_0_5_native_segment
  constant_folding: Graph size after: 29 nodes (0), 40 edges (0), time = 4.414ms.
  layout: Graph size after: 29 nodes (0), 40 edges (0), time = 4.662ms.
  constant_folding: Graph size after: 29 nodes (0), 40 edges (0), time = 4.751ms.
  TensorRTOptimizer: Graph size after: 29 nodes (0), 40 edges (0), time = 0.367ms.
  constant_folding: Graph size after: 29 nodes (0), 40 edges (0), time = 4.544ms.
Optimization results for grappler item: StatefulPartitionedCall/model/TRTEngineOp_0_3_native_segment
  constant_folding: Graph size after: 26 nodes (0), 25 edges (0), time = 4.687ms.
  layout: Graph size after: 26 nodes (0), 25 edges (0), time = 7.218ms.
  constant_folding: Graph size after: 26 nodes (0), 25 edges (0), time = 4.93ms.
  TensorRTOptimizer: Graph size after: 26 nodes (0), 25 edges (0), time = 0.535ms.
  constant_folding: Graph size after: 26 nodes (0), 25 edges (0), time = 4.577ms.
Optimization results for grappler item: TRTEngineOp_0_0_native_segment
  constant_folding: Graph size after: 431 nodes (0), 440 edges (0), time = 57.452ms.
  layout: Graph size after: 431 nodes (0), 440 edges (0), time = 88.399ms.
  constant_folding: Graph size after: 431 nodes (0), 440 edges (0), time = 70.943ms.
  TensorRTOptimizer: Graph size after: 431 nodes (0), 440 edges (0), time = 8.772ms.
  constant_folding: Graph size after: 431 nodes (0), 440 edges (0), time = 66.01ms.

Found 30 files belonging to 1 classes.
2021-10-07 13:40:34.221298: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:176] None of the MLIR Optimization Passes are enabled (registered 2)
step 1/30, image shape : (1, 320, 320, 3)
2021-10-07 13:40:35.773429: I tensorflow/compiler/tf2tensorrt/common/utils.cc:58] Linked TensorRT version: 7.1.3
2021-10-07 13:40:35.773914: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libnvinfer.so.7
2021-10-07 13:40:35.773981: I tensorflow/compiler/tf2tensorrt/common/utils.cc:60] Loaded TensorRT version: 7.1.3
2021-10-07 13:40:35.785002: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libnvinfer_plugin.so.7
2021-10-07 13:41:56.956338: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudnn.so.8
2021-10-07 13:41:56.964140: I tensorflow/stream_executor/cuda/cuda_dnn.cc:380] Loaded cuDNN version 8000
2021-10-07 13:42:03.715476: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcublas.so.10
step 2/30, image shape : (1, 320, 320, 3)
step 3/30, image shape : (1, 320, 320, 3)
step 4/30, image shape : (1, 320, 320, 3)
step 5/30, image shape : (1, 320, 320, 3)
step 6/30, image shape : (1, 320, 320, 3)
step 7/30, image shape : (1, 320, 320, 3)
step 8/30, image shape : (1, 320, 320, 3)
step 9/30, image shape : (1, 320, 320, 3)
step 10/30, image shape : (1, 320, 320, 3)
step 11/30, image shape : (1, 320, 320, 3)
step 12/30, image shape : (1, 320, 320, 3)
step 13/30, image shape : (1, 320, 320, 3)
step 14/30, image shape : (1, 320, 320, 3)
step 15/30, image shape : (1, 320, 320, 3)
step 16/30, image shape : (1, 320, 320, 3)
step 17/30, image shape : (1, 320, 320, 3)
step 18/30, image shape : (1, 320, 320, 3)
step 19/30, image shape : (1, 320, 320, 3)
step 20/30, image shape : (1, 320, 320, 3)
step 21/30, image shape : (1, 320, 320, 3)
step 22/30, image shape : (1, 320, 320, 3)
step 23/30, image shape : (1, 320, 320, 3)
step 24/30, image shape : (1, 320, 320, 3)
step 25/30, image shape : (1, 320, 320, 3)
step 26/30, image shape : (1, 320, 320, 3)
step 27/30, image shape : (1, 320, 320, 3)
step 28/30, image shape : (1, 320, 320, 3)
step 29/30, image shape : (1, 320, 320, 3)
step 30/30, image shape : (1, 320, 320, 3)
[Info] Convert complete.
[Info] Now prebuild trt-engine.
Found 30 files belonging to 1 classes.
step 1/30, image shape : (1, 320, 320, 3)
2021-10-07 14:21:54.501273: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
2021-10-07 14:21:54.518895: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
2021-10-07 14:21:54.520264: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
2021-10-07 14:21:54.521836: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
2021-10-07 14:21:54.523049: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
2021-10-07 14:21:54.525338: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
step 2/30, image shape : (1, 320, 320, 3)
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2021-10-07 14:21:54.848015: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
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2021-10-07 14:21:54.890036: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
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step 15/30, image shape : (1, 320, 320, 3)
2021-10-07 14:21:55.049957: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
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step 18/30, image shape : (1, 320, 320, 3)
2021-10-07 14:21:55.142622: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
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step 26/30, image shape : (1, 320, 320, 3)
2021-10-07 14:21:55.347076: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
2021-10-07 14:21:55.348356: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
2021-10-07 14:21:55.351511: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
2021-10-07 14:21:55.354776: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
2021-10-07 14:21:55.357402: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
2021-10-07 14:21:55.358476: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
step 27/30, image shape : (1, 320, 320, 3)
2021-10-07 14:21:55.378031: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
2021-10-07 14:21:55.383370: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
2021-10-07 14:21:55.386487: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
2021-10-07 14:21:55.387798: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
2021-10-07 14:21:55.393018: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
2021-10-07 14:21:55.395249: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
step 28/30, image shape : (1, 320, 320, 3)
2021-10-07 14:21:55.426818: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
2021-10-07 14:21:55.431675: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
2021-10-07 14:21:55.434095: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
2021-10-07 14:21:55.436594: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
2021-10-07 14:21:55.437868: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
2021-10-07 14:21:55.438853: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
step 29/30, image shape : (1, 320, 320, 3)
2021-10-07 14:21:55.454118: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
2021-10-07 14:21:55.455327: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
2021-10-07 14:21:55.456274: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
2021-10-07 14:21:55.460399: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
2021-10-07 14:21:55.461846: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
2021-10-07 14:21:55.462862: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
step 30/30, image shape : (1, 320, 320, 3)
2021-10-07 14:21:55.475968: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
2021-10-07 14:21:55.477193: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
2021-10-07 14:21:55.478811: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
2021-10-07 14:21:55.479840: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
2021-10-07 14:21:55.480687: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
2021-10-07 14:21:55.481721: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:42] DefaultLogger INVALID_ARGUMENT: Cannot set empty memory.
[Info] writing savedmodel complete.

Hi,
Thank you for opening this issue. Since this issue has been open for a long time, the code/debug information for this issue may not be relevant with the current state of the code base.
The Tensorflow team is constantly improving the framework by fixing bugs and adding new features. We suggest you try the latest TensorFlow version with the latest compatible hardware configuration which could potentially resolve the issue. If you are still facing the issue, please create a new GitHub issue with your latest findings, with all the debugging information which could help us investigate.
Please follow the release notes to stay up to date with the latest developments which are happening in the Tensorflow space.


Update Readme

My apologies, this is the most smoothbrained issue I've ever created, but I can't for the love of god figure out what this plugin is supposed to do.
What information does it send (clan text messages)? Where can I e.g. enter the URL of the webhook? What usecases would the plugin have?

Thank you very much for the explanation. Looks very cool and I 100% look forward to using this in my clan as well!
It would be great if the clan leaders could also set up certain logic to filter out the chat messages before they're posted; e.g. different loot cut-off values for discord than for ingame, tracking unique drops for boss of the week etc!

Thank you for your input! :) would love to hear more suggestions if you have any!

I'd have to use the plugin for my own clan to check for other functionality that'd be nice to have, so if you'd like to, you can ping me on github or on discord (/whois in the RL discord) when the plugin is available for other servers as well. :)
For now I'd say most nice to have functionality can be done by having:

A robust and extensive filtering system so clan leaders can decide what gets posted on discord and in what channel by using the filters.
Different ways of formatting messages using variables (e.g. {user} {dropname} {dropvalue} {skill} {lvl} {diaryname} {petname} {petduplicate} {collectionlogslotname} {amountcollectionlogslots} etc.)  so clan leaders can decide on what message types they like. Integration with filters would be nice, so you could e.g. set different messages based on {dropvalue} etc.
Potentially google sheets integration, but I don't think this is possible with discord webhooks. This might allow for easier tracking for events such as skill or boss of the week (pets, uniques etc.)

I really like the possibilities and ideas mentioned. Like YvesW said, the option to whitelist specific items would be sweet, especially for bingo's. A spot for players to add a codeword + screenshot option might be nice too.
If this plugin can be connected to google spreadsheets I will be forever thankful !

Hi!
I don't want to add screenshots & keep the plugin itself lightweight but allowing it to be connected to google spreadsheets is very much possible :)
I will get back to working on the plugin pretty soon and a bingo mode sounds like a great addition!
Thank you for your feedback

I am quite frankly astounded with this plugin/website combo!
This is exactly what our clan has been looking for.
I hope development goes well, if you are looking for clans to test run a beta whenever it would be ready we are a clan with 130~ members that would love to give this a spin.
//Salt
{RSN: Idkbruh}
-Clan: Infuse

Any update on this project? Very excited for the concept.

Hey has this plug in updated at all? Wondering what's the use? Above seems like a great idea but how do I get it to work?

Hey has this plug in updated at all? Wondering what's the use? Above seems like a great idea but how do I get it to work?

Hi 👋
I think I’ll release a version where you can set the server url on your own, I never expected it to be this widespread and my 10$ server wont be able to hold all the demand.
After that version is out you’d have to write the server and handle the api endpoints that the client is sending the data to.

Is there any chance of getting in contact with you via discord?


Pixel pushing  👨🎨  🟥

Some pixel pushing adjustments to revamped UI
Account dropdown now shows the shortened address instead of Connected

Contract change checklist:

[ ] Code reviewed by 2 reviewers. See template and example.
[ ] Unit tests pass
[ ] Slither tests pass with no warning
[ ] Echidna tests pass if PR includes changes to OUSD contract (not automated, run manually on local)

thanks @DanielVF


Issues with modifying Date field in Submission

Describe the bug
When you modify or delete values out of the Date field in the Submission UI, and click "Save" or "Save for Later" you can trigger a 500 error on the backend.  After triggering that error, it's impossible to save any other edits -- you have to click away from your submission and start over.
To Reproduce
Steps to reproduce the behavior:

Create a new submission, adding all mandatory fields, especially the Date of Issue
Click "Save for later"
Now, edit that same submission. remove (or replace) the values in that "Date of Issue" field.
Click "Save for later"...you'll see a 500 error from the PATCH command (if you are watching in Chrome DevTools)
Edit a different field, e.g. Title.  Click "Save for later" again.  Still a 500 error.

Expected behavior
You should be allowed to edit a Date field without corrupting the submission.

@atarix83 : Could you look into this and provide an estimate?  It's seemingly a UI level issue in the Submission UI.

@tdonohue I'm sorry but I can't reproduce the issue. I've test it over main branch and also over #1025 and for both I can't reproduce it

@atarix83 : Thanks for testing. I'll claim this ticket back and re-test on my end.  Maybe I had something misconfigured when I was hitting this error a few days ago.

Closing, as I'm no longer reliably able to reproduce this.  When I have reproduced this, it appears to be a CSRF mismatch issue which seems resolved by ensuring the CSRF token changes less frequently (see https://github.com/DSpace/DSpace/pull/3168).


redis cluster connection timeout or refuse connection

A another server with application would access the redis cluster within docker server.
It is connect timeout without the ENV of IP.
It is refuse connection with the ENV of IP = <IP_ADDRESS>.
It is connect timeout with the ENV of IP = Intranet IP （such as : <IP_ADDRESS>).
The docker server with application would access the redis cluster within docker server.
However, it work well.
How to solve it?

Such as A another server IP : <IP_ADDRESS>, the docker server IP : <IP_ADDRESS>.
It is ok by telneting <IP_ADDRESS> 7000 ~7005, but the application(<IP_ADDRESS>) accessed the redis cluster with <IP_ADDRESS>:7000. It just connect timeout or refuse connetion

redis-cli -h <IP_ADDRESS> -p 7000, it is still ok.

The os is centos7.

docker run -e  IP=<IP_ADDRESS>  -d -p 7000:7000 -p 7001:7001 -p 7002:7002 -p 7003:7003 -p 7004:7004 -p 7005:7005 -p 7006:7006 -p 7007:7007 grokzen/redis-cluster

@godpit Can you print the output of CLUSTER INFO and  CLUSTER SLOTS ?
Usually this container i not intended to be accessed from outside the machine that is running the container. This is a usual problem but not a problem that i really care about solving.

This is a very common scenario that should be supported.

It is stated in the README about the purpose and intent and the limitations of this container and what features it support. I have said before that i will not put in the effort to this container to make it work in any further ways then from the local machine. If you have that use-case please feel free to fork the repo, do the changes that you need to make it work for your case, and if you really want, contribute the changes back here that would extend the current functionality but keep the simple ease of use that it currently has. Production quality redis containers is out there that you can use and build a redis cluster that will work for your use-case and your requirements. This containers main purpose is to have something that you can very easily and quickly spin up to get a cluster that you can reach from your won machine to either demo redis cluster, run redis-cli and test out commands, develop code against, run in CI envrionments.
But the basic problem you are having from the screenshots is that your redis cluster nodes have tracked the internal docker IP address of what you have on the inside of the container. So when a client connects to your cluster then it will use and track these ip addresses and try to connect to each node with <IP_ADDRESS> for example. So that works when you are on the same machine, or if you have "fixed" your network to have that resolvable from another host. That is outside the scope of my container to solve.


Reversed RGB led GPIO in the documentation for the wrover kit ?

Environment

Development Kit:      [ESP32-Wrover-Kit]
Kit version (for WroverKit/PicoKit/DevKitC): [v4.1]
Core (if using chip or module): [ESP32-Wrover]
IDF version (git rev-parse --short HEAD to get the commit id.):
//bd6ea4393c7d2f059fc4decc70f1ec3eb3597268
Development Env:		[other]
Operating System:		[Window]
Power Supply:         [USB]

Problem Description
It seems that the following table in the documentation have reversed led pins
https://docs.espressif.com/projects/esp-idf/en/latest/get-started/get-started-wrover-kit.html#related-documents

In my wrover kit when I put LED_BUILTIN 4 it's the blue led which blinks. and when I put LED_BUILTIN 2
it's the green led which blinks. It seems that in the documentation the blue and green are reversed. I have another question, how to make the LED D7 blinks ?
Code:
#include <Arduino.h>

#ifndef LED_BUILTIN
  // Set LED_BUILTIN if it is not defined by Arduino framework
  #define LED_BUILTIN 4

void setup()
{
  // initialize LED digital pin as an output.
  pinMode(LED_BUILTIN, OUTPUT);
}

void loop()
{
  // turn the LED on (HIGH is the voltage level)
  digitalWrite(LED_BUILTIN, HIGH);
  // wait for a second
  delay(1000);
  // turn the LED off by making the voltage LOW
  digitalWrite(LED_BUILTIN, LOW);
   // wait for a second
  delay(1000);
}

Hi @Navis-Raven,
Thank you for noting this issue. I will correct it in documentation.
The getting started guide you refer to is for V3 of the ESP-WROVER-KIT.
Similar document for V4.1 of the ESP-WROVER-KIT is in review and should be released soon.

excellent


Migrate to .NET 5

Migrate to .NET 5
@GunshipPenguin

@GunshipPenguin
Sorry, looks like it is impossible.
Current UI framework (windows forms) is windows only framework.


Implement resiliency functionalities for HTTP/2 method

Purpose

$subject

Check List

[x] Read the Contributing Guide
[ ] Required Balo version update
[ ] Updated Change Log
[ ] Checked Tooling Support (#)
[ ] Added necessary tests

[ ] Unit Tests
[ ] Spec Conformance Tests
[ ] Integration Tests
[ ] Ballerina By Example Tests

[ ] Increased Test Coverage
[ ] Added necessary documentation

[ ] API documentation
[ ] Module documentation in Module.md files
[ ] Ballerina By Examples

Codecov Report

Merging #15315 into master will not change coverage.
The diff coverage is n/a.

@@            Coverage Diff            @@
##             master   #15315   +/-   ##
=========================================
  Coverage     23.24%   23.24%
- Complexity     5112     5113    +1
=========================================
  Files          1345     1345
  Lines         68207    68207
  Branches       9294     9294
=========================================
  Hits          15853    15853
  Misses        50585    50585
  Partials       1769     1769

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update e000b7b...de91674. Read the comment docs.


Support nicefrac

Please support the command \nicefrac as the one from package nicefrac.
This one allows for much nicer inline fractions (as long as (de)nominator stay short).

Thanks for making a feature request. These kinds of requests usually work best by writing an extension and making a PR to https://github.com/mathjax/MathJax-third-party-extensions.
If you want a starting point, see http://docs.mathjax.org/en/latest/extension-writing.html#more-advanced-extensions and https://github.com/mathjax/MathJax-docs/wiki/Beveled-fraction-like-sfrac,-nicefrac-bfrac for quick workarounds.

Would recommend xfrac instead of nicefrac: http://www.bakoma-tex.com/doc/latex/mh/xfrac.pdf

Note that MathJax only supports a limited number of fonts, and doesn't support mixing fonts, so the font support in xfrac is unlikely to be transferable to MathJax.
On the other hand, you could get something like these macros using MathML's bevelled fractions.  You can use
<script type="text/x-mathjax-config">
MathJax.Hub.Config({
  TeX: {Augment: {
    Definitions: {macros: {xfrac: 'XFrac'}},
    Parse: {prototype: {
      XFrac: function (name) {
        var num = this.ParseArg(name);
        var den = this.ParseArg(name);
        this.Push(MathJax.ElementJax.mml.mfrac(num,den).With({bevelled: true}));
      }
    }}
  }}
});
</script>

just before the script that loads MathJax.js in order to implement a simple bevelled fraction.

This would be really helpful for people on Lyx.
Notify me if it's added :)

Registering interest in an xfrac extension for use with PreTeXt.  We have long-time built-in historical support for an \sfrac macro which has been downgraded before and which I may severly curtail since it is a real headache.  We would gracefully support slanted fractions for authors if such an extension providing \sfrac existed.  Thanks.
(Yes, we had the MathML solution above for some time, and had to remove it.  I forget the exact reason provoking that.)

@rbeezer, v4 adds a units package that includes \nicefrac, which does bevelled fractions.  Perhaps that will fit the bill?

Thanks!  Yes, that could be a workable long-term solution.  I'm just now working on a graceful "regression" that will put a small burden on authors on the LaTeX side.  That will still mean changes on the HTML side, so moving to \nicefrac could mean a clean break, even.
Thanks again, I'll test as we migrate to v4.


Allow capabilities enabled by extensions

Should include some spot check tests for known SPV_KHR extensions, both positive and negative cases.

Done in https://github.com/KhronosGroup/SPIRV-Tools/pull/582


TxBalancer / TxSharder

Introduce a feature for CCL offers TxSharder, once transaction is created, on the output there are multiple UTxOs, not just one, when creating a new transaction CCL should remember which inputs are blocked and take other inputs.
Such a feature would allow to send multiple transactions at the same time without leading to UTxO contention issues.
Naturally one can implement this on one's own but it creates unnecessary complexity in the application and developer has to manage this all themselves.

Thanks @matiwinnetou


Issue while testing audio

I have been facing a weird issue while testing. I successfully trained the SEGAN model for 19440 iterations for a batch size of 100. During training at the save_freq the max and min values of the generated sample audios are printed. Here, almost all the audio files vary from +0.55.... to -0.5....
Now, during testing for the same audio file in the training set for the same weights, the output behave like this:
test wave min:-0.42119479179382324  max:0.497093141078949
[*] Reading checkpoints...
[*] Read SEGAN-19440
[*] Load SUCCESS
Cleaning chunk 0 -> 16384
gen wave, max:  [0.96146643] min:  [-0.9862874]
inp wave, max:  0.497093141078949 min:  -0.42119479179382324
canvas w shape:  (16384, 1)
Cleaning chunk 16384 -> 32768
gen wave, max:  [0.9773201] min:  [-0.9757471]
inp wave, max:  0.3213702440261841 min:  -0.2770885229110718
canvas w shape:  (16384, 1)
Cleaning chunk 32768 -> 36480
gen wave, max:  [0.99999225] min:  [-0.9999961]
inp wave, max:  0.04255741834640503 min:  -0.041153550148010254
canvas w shape:  (16384, 1)

The generated wav sounds even noisier than before and the speech segments sound extremely loud and distorted. I have no idea why this would be happening? Need some help please.
Originally posted by @HusainKapadia in https://github.com/santi-pdp/segan/issues/38#issuecomment-432590310

I solved the issue! I had added virtual batch normalization (VBN) for the generator as well... I removed VBN from the last layer of the generator and it worked well.


Rem unused vars and prefer prefix operator for non-primitive type

Travis fails on OSX?

They had some downtime. I retriggered and it should be fine now.


in local how to dynamic configuration flags.

/area runtime

Ask your question here
current, in local, every application run use dapr run --app-id publisher --app-port 3000 --dapr-http-port 3500  go run main.go  command. is it allowed config --app-port --dapr-http-port or other params in yaml file, or flags in init() func.

no, the runtime configs have to passed in with the command line flags in the current implementation.

ok, thanks a lot !


RFM - carotdav

https://chocolatey.org/packages/carotdav/1.9.9

Status: In progress

Waiting to be added as maintainer (request already sent to Chocolatey contact-site admins).
Updated package ready to be published: https://github.com/chtof/chocolatey-packages/tree/master/automatic/carotdav

Status: Review
https://chocolatey.org/packages/carotdav
https://chocolatey.org/packages/carotdav.portable
https://chocolatey.org/packages/carotdav.install

Status: Published

https://chocolatey.org/packages/carotdav
https://chocolatey.org/packages/carotdav.portable
https://chocolatey.org/packages/carotdav.install

Can be closed.


Number of perfect cubes between two given numbers.

Proposal
I would like to add this tool, please assign it to me

Go ahead
Deadline 29 April,2021


Bogus error messages "BUG in SwiftNIO, unleakable promise leaked"

If a user accidentally shuts down the ELG before actually being done, they often get
BUG in SwiftNIO (please report), unleakable promise leaked.:486: Fatal error: leaking promise created at (file: "BUG in SwiftNIO (please report), unleakable promise leaked.", line: 486)

which is both

wrong (in all cases that I've seen)
Misleading

the message should be adjusted to say that it's likely that the EventLoop (which we can actually print!) was likely shut down already (and that it's a bug in NIO if it isn't shut down)

CC @Lukasa

Do we think having this message is pulling its weight at all? We already print a message about shutting down the ELG in most of these cases.

Do we think having this message is pulling its weight at all? We already print a message about shutting down the ELG in most of these cases.

Are you suggesting to delete the message entirely and just making it preconditionFailure()? Fine by me, but I'd probably put something like promise of already-shutdown EventLoop leaked or smth.

I don't have a strong opinion either way, honestly.


Removing SSI from samples/appTop

I think the _environment.shtml files can also be removed

Removed Environment files


Cover git-secrets in security section

https://github.com/awslabs/git-secrets

added as PR to IAM

Fixed in #235


Remove hard-coded value for sys.databases

Description
Previously, both sys.sysdatabases and sys.databases had hardcoded values for their compatibility levels. This commit modifies sys.databases so that it retrieves the compatibility_level through sys.sysdatabases.  This will help reinforce sys.sysdatabases and sys.databases to always have matching information in the compatibility level field.
Task: BABELFISH-528
Signed-off-by: Favian (Ian) Samatha<EMAIL_ADDRESS>Check List

[x] Commits are signed per the DCO using --signoff

By submitting this pull request, I confirm that my contribution is under the terms of the Apache 2.0 and PostgreSQL licenses, and grant any person obtaining a copy of the contribution permission to relicense all or a portion of my contribution to the PostgreSQL License solely to contribute all or a portion of my contribution to the PostgreSQL open source project.
For more information on following Developer Certificate of Origin and signing off your commits, please check here.

Changes look good to me. Please resolve the merge conflict.


Add filter according to Customer name in Customer Grid.

Framework Version: 0.1.2

Framework Version: 0.1.4
Fixed


Escape html in feed summary

That's according to atom spec, html should be escaped there

Deploy preview for openbuildservice ready!
Built with commit 1d9f0cb293d54bd1378b2d6ea872e3065db67f9b
https://deploy-preview-240--openbuildservice.netlify.com

Yeah, jemoji is executed after liquid filters by the look of it, there is no real way to avoid that easily


Something about search

What's the Problem?
First of all please forgive my bad english
When I use the search function, I found that I can only search for files or folders in the same level directory. For example, I have "folder 1" and "folder 2" in the root directory, and I can search for these two folders. , but the files located in the folder cannot be searched
我发现使用搜索功能时，只能搜索同级目录下的文件或文件夹。 比如我根目录下有“文件夹1”和“文件夹2”，可以搜索这两个文件夹。 ，但无法搜索文件夹中的文件
Solution/Idea
如果可以，我希望您能添加对子文件夹或子文件的搜索的支持，谢谢
If you can, I would like you to add support for searching on subfolders or subfiles.Thanks
Alternatives
、
Priorities

Capability
Priority

This proposal will allow developers to accomplish W
Must

This proposal will allow end users to accomplish X
Should

This proposal will allow developers to accomplish Y
Could

This proposal will allow end users to accomplish Z
Won't

Files Version
version: <IP_ADDRESS> OS Version: 10.0.19044.1620
Windows Version
Windows 10  21H2  19044.1620
Comments
I don't know if it's a Bug or the software itself is designed that way, so I'm reporting it here
我不知道这是一个Bug还是软件本身就是这样设计的，所以我在这里反馈它

sorry,bad question


Ds#3192

Coverage remained the same at 88.472% when pulling 9e947ba4c3e440c858d3dd5290e8b6320bbde3be on ds#3192 into 1aed59bc542e92dad8d735f7d99331329d4ddd75 on develop.


squirrel-sql: 4.5.1 -> 4.6.0

Automatic update generated by nixpkgs-update tools. This update was made based on information from https://repology.org/project/squirrel-sql/versions.
meta.description for squirrel-sql is: Universal SQL Client
meta.homepage for squirrel-sql is: http://squirrel-sql.sourceforge.net/
Updates performed

Version update

To inspect upstream changes
Impact

Checks done (click to expand)

built on NixOS
The tests defined in passthru.tests, if any, passed
found 4.6.0 with grep in /nix/store/2pnz26x1wh56r9qb9gg3q5jkx7ddpcc1-squirrel-sql-4.6.0
found 4.6.0 in filename of file in /nix/store/2pnz26x1wh56r9qb9gg3q5jkx7ddpcc1-squirrel-sql-4.6.0

Rebuild report (if merged into master) (click to expand)

1 total rebuild path(s)

1 package rebuild(s)

First fifty rebuilds by attrpath
squirrel-sql

Instructions to test this update (click to expand)

Either download from Cachix:
nix-store -r /nix/store/2pnz26x1wh56r9qb9gg3q5jkx7ddpcc1-squirrel-sql-4.6.0 \
  --option binary-caches 'https://cache.nixos.org/ https://nix-community.cachix.org/' \
  --option trusted-public-keys '
  nix-community.cachix.org-1:mB9FSh9qf2dCimDSUo8Zy7bkq5CX+/rkCWyvRCYg3Fs=
  cache.nixos.org-1:6NCHdD59X431o0gWypbMrAURkbJ16ZPMQFGspcDShjY=
  '

(The Cachix cache is only trusted for this store-path realization.)
For the Cachix download to work, your user must be in the trusted-users list or you can use sudo since root is effectively trusted.
Or, build yourself:
nix-build -A squirrel-sql https://github.com/r-ryantm/nixpkgs/archive/23fc7d64220042d1fd6ef51c3be540f94bb3ac38.tar.gz

After you've downloaded or built it, look at the files and if there are any, run the binaries:
ls -la /nix/store/2pnz26x1wh56r9qb9gg3q5jkx7ddpcc1-squirrel-sql-4.6.0
ls -la /nix/store/2pnz26x1wh56r9qb9gg3q5jkx7ddpcc1-squirrel-sql-4.6.0/bin

Pre-merge build results
We have automatically built all packages that will get rebuilt due to
this change.
This gives evidence on whether the upgrade will break dependent packages.
Note sometimes packages show up as failed to build independent of the
change, simply because they are already broken on the target branch.
Result of nixpkgs-review run on x86_64-linux 1

1 package built:

squirrel-sql

Maintainer pings
cc @khumba for testing.

(And thanks of course!)


Remove extra space below footed

I want to remove the extra space below the footer

Okay , assigned to you.

hey,
I want to contribute to this repo, could you assign it to me?

@iamartyaa The issue of removing extra space below footer was already solved by someone else. So, I'll contribute to the website by adding animation to the main heading AnimePedia

https://user-images.githubusercontent.com/99481336/195975583-3597a0e0-e480-4cea-ac0a-4b9fbd94b765.mp4

Looks cool to me.


Manual integration testing for 0.4.1

[x] check large scale docking  works from Postera molecule set with upload
[x] check small scale docking + MD works from Postera molecule set with upload

Integration tests complete, any further patches will be made on 0.4.1 branch


[flutter_tools] _CastError in WebPlugin.fromYaml

on beta/3.7.0-1.2.pre
_CastError: type 'Null' is not a subtype of type 'String' in type cast
at new WebPlugin.fromYaml(platform_plugins.dart:548)
at new Plugin._fromMultiPlatformYaml(plugins.dart:142)
at new Plugin.fromYaml(plugins.dart:78)
at _pluginFromPackage(flutter_plugins.dart:63)
at findPlugins(flutter_plugins.dart:88)
at <asynchronous gap>(async)
at refreshPluginsList(flutter_plugins.dart:1080)
at <asynchronous gap>(async)
at FlutterProject.ensureReadyForPlatformSpecificTooling(project.dart:357)
at <asynchronous gap>(async)
at PackagesGetCommand.runCommand(packages.dart:179)
at <asynchronous gap>(async)
at FlutterCommand.run.<anonymous closure>(flutter_command.dart:1257)
at <asynchronous gap>(async)
at AppContext.run.<anonymous closure>(context.dart:150)
at <asynchronous gap>(async)
at CommandRunner.runCommand(command_runner.dart:209)
at <asynchronous gap>(async)
at FlutterCommandRunner.runCommand.<anonymous closure>(flutter_command_runner.dart:283)
at <asynchronous gap>(async)
at AppContext.run.<anonymous closure>(context.dart:150)
at <asynchronous gap>(async)
at FlutterCommandRunner.runCommand(flutter_command_runner.dart:229)
at <asynchronous gap>(async)
at run.<anonymous closure>.<anonymous closure>(runner.dart:64)
at <asynchronous gap>(async)
at AppContext.run.<anonymous closure>(context.dart:150)
at <asynchronous gap>(async)
at main(executable.dart:91)
at <asynchronous gap>(async)

I am still getting this error in the latest stable version (v3.7.3) of the Flutter SDK.
Command
flutter pub get

Steps to Reproduce

Open Terminal
Execute flutter pub get command.

Logs
_CastError: (#0      new WebPlugin.fromYaml (package:flutter_tools/src/platform_plugins.dart:548:34))
#0      new WebPlugin.fromYaml (package:flutter_tools/src/platform_plugins.dart:548:34)
#1      new Plugin._fromMultiPlatformYaml (package:flutter_tools/src/plugins.dart:142:21)
#2      new Plugin.fromYaml (package:flutter_tools/src/plugins.dart:78:21)
#3      _pluginFromPackage (package:flutter_tools/src/flutter_plugins.dart:63:17)
#4      findPlugins (package:flutter_tools/src/flutter_plugins.dart:88:28)
<asynchronous suspension>
#5      refreshPluginsList (package:flutter_tools/src/flutter_plugins.dart:1080:32)
<asynchronous suspension>
#6      FlutterProject.ensureReadyForPlatformSpecificTooling (package:flutter_tools/src/project.dart:357:5)
<asynchronous suspension>
#7      PackagesGetCommand.runCommand (package:flutter_tools/src/commands/packages.dart:179:5)
<asynchronous suspension>
#8      FlutterCommand.run.<anonymous closure> (package:flutter_tools/src/runner/flutter_command.dart:1257:27)
<asynchronous suspension>
#9      AppContext.run.<anonymous closure> (package:flutter_tools/src/base/context.dart:150:19)
<asynchronous suspension>
#10     CommandRunner.runCommand (package:args/command_runner.dart:209:13)
<asynchronous suspension>
#11     FlutterCommandRunner.runCommand.<anonymous closure> (package:flutter_tools/src/runner/flutter_command_runner.dart:283:9)
<asynchronous suspension>
#12     AppContext.run.<anonymous closure> (package:flutter_tools/src/base/context.dart:150:19)
<asynchronous suspension>
#13     FlutterCommandRunner.runCommand (package:flutter_tools/src/runner/flutter_command_runner.dart:229:5)
<asynchronous suspension>
#14     run.<anonymous closure>.<anonymous closure> (package:flutter_tools/runner.dart:64:9)

[32m[✓] [39m Flutter (Channel stable, 3.7.3, on macOS 13.2 22D49
    darwin-arm64, locale en-IN)
     [32m• [39m Flutter version 3.7.3 on channel stable at /Users/user/tools/flutter-arm64
     [32m• [39m Upstream repository https://github.com/flutter/flutter.git
     [32m• [39m Framework revision<PHONE_NUMBER> (30 hours ago), 2023-02-08 15:46:04 -0800
     [32m• [39m Engine revision 248290d6d5
     [32m• [39m Dart version 2.19.2
     [32m• [39m DevTools version 2.20.1

 [32m[✓] [39m Android toolchain - develop for Android devices (Android SDK version 33.0.1)
     [32m• [39m Android SDK at /Users/krishh/Library/Android/sdk
     [32m• [39m Platform android-33, build-tools 33.0.1
     [32m• [39m ANDROID_HOME = /Users/krishh/Library/Android/sdk
     [32m• [39m Java binary at: /Users/krishh/Library/ApplicationSupport/JetBrains/Toolbox/apps/AndroidStudio/ch-0/221.6008.13.2211.9514443/AndroidStudio.app/Contents/jre/Contents/Home/bin/java
     [32m• [39m Java version OpenJDK Runtime Environment (build 11.0.15+0-b2043.56-8887301)
     [32m• [39m All Android licenses accepted.

 [32m[✓] [39m Xcode - develop for iOS and macOS (Xcode 14.2)
     [32m• [39m Xcode at /Applications/Xcode.app/Contents/Developer
     [32m• [39m Build 14C18
     [32m• [39m CocoaPods version 1.11.3

 [32m[✓] [39m Chrome - develop for the web
     [32m• [39m Chrome at /Applications/GoogleChrome.app/Contents/MacOS/Google Chrome

 [32m[✓] [39m Android Studio (version 2022.1)
     [32m• [39m Android Studio at /Users/krishh/Library/ApplicationSupport/JetBrains/Toolbox/apps/AndroidStudio/ch-0/221.6008.13.2211.9514443/Android Studio.app/Contents
     [32m• [39m Flutter plugin can be installed from: 🔨 https://plugins.jetbrains.com/plugin/9212-flutter
     [32m• [39m Dart plugin can be installed from: 🔨 https://plugins.jetbrains.com/plugin/6351-dart
     [32m• [39m Java version OpenJDK Runtime Environment (build 11.0.15+0-b2043.56-8887301)

 [32m[✓] [39m Android Studio (version 2022.1)
     [32m• [39m Android Studio at /Users/krishh/Library/ApplicationSupport/JetBrains/Toolbox/apps/AndroidStudio/ch-0/221.6008.13.2211.9477386/Android Studio.app/Contents
     [32m• [39m Flutter plugin can be installed from: 🔨 https://plugins.jetbrains.com/plugin/9212-flutter
     [32m• [39m Dart plugin can be installed from: 🔨 https://plugins.jetbrains.com/plugin/6351-dart
     [32m• [39m Java version OpenJDK Runtime Environment (build 11.0.15+0-b2043.56-8887301)

 [32m[✓] [39m VS Code (version 1.72.1)
     [32m• [39m VS Code at /Applications/Visual Studio Code.app/Contents
     [32m• [39m Flutter extension version 3.52.0

 [32m[✓] [39m Connected device (2 available)
     [32m• [39m macOS (desktop) • macos  • darwin-arm64   • macOS 13.222D49 darwin-arm64
     [32m• [39m Chrome (web)    • chrome • web-javascript • Google Chrome 110.0.5481.77

 [32m[✓] [39m HTTP Host Availability
     [32m• [39m All required HTTP hosts are available

 [32m• [39m No issues found!

Flutter Application Metadata
Type: app
Creation channel: stable
Creation framework version: f4abaa0735eba4dfd8f33f73363911d63931fe03

I have just upgraded the Flutter SDK from v3.3.7 to v3.7.3. I am still getting this error in the latest stable version (v3.7.3).
Command
flutter pub get

Steps to Reproduce

Open Terminal
Execute flutter pub get command.

Logs
_CastError: (#0 new WebPlugin.fromYaml (package:flutter_tools/src/platform_plugins.dart:548:34))
#0      new WebPlugin.fromYaml (package:flutter_tools/src/platform_plugins.dart:548:34)
#1      new Plugin._fromMultiPlatformYaml (package:flutter_tools/src/plugins.dart:142:21)
#2      new Plugin.fromYaml (package:flutter_tools/src/plugins.dart:78:21)
#3      _pluginFromPackage (package:flutter_tools/src/flutter_plugins.dart:63:17)
#4      findPlugins (package:flutter_tools/src/flutter_plugins.dart:88:28)
<asynchronous suspension>
#5      refreshPluginsList (package:flutter_tools/src/flutter_plugins.dart:1080:32)
<asynchronous suspension>
#6      FlutterProject.ensureReadyForPlatformSpecificTooling (package:flutter_tools/src/project.dart:357:5)
<asynchronous suspension>
#7      PackagesGetCommand.runCommand (package:flutter_tools/src/commands/packages.dart:179:5)
<asynchronous suspension>
#8      FlutterCommand.run.<anonymous closure> (package:flutter_tools/src/runner/flutter_command.dart:1257:27)
<asynchronous suspension>
#9      AppContext.run.<anonymous closure> (package:flutter_tools/src/base/context.dart:150:19)
<asynchronous suspension>
#10     CommandRunner.runCommand (package:args/command_runner.dart:209:13)
<asynchronous suspension>
#11     FlutterCommandRunner.runCommand.<anonymous closure> (package:flutter_tools/src/runner/flutter_command_runner.dart:283:9)
<asynchronous suspension>
#12     AppContext.run.<anonymous closure> (package:flutter_tools/src/base/context.dart:150:19)
<asynchronous suspension>
#13     FlutterCommandRunner.runCommand (package:flutter_tools/src/runner/flutter_command_runner.dart:229:5)
<asynchronous suspension>
#14     run.<anonymous closure>.<anonymous closure> (package:flutter_tools/runner.dart:64:9)

[32m[✓] [39m Flutter (Channel stable, 3.7.3, on macOS 13.2 22D49
    darwin-arm64, locale en-IN)
     [32m• [39m Flutter version 3.7.3 on channel stable at /Users/user/tools/flutter-arm64
     [32m• [39m Upstream repository https://github.com/flutter/flutter.git
     [32m• [39m Framework revision<PHONE_NUMBER> (30 hours ago), 2023-02-08 15:46:04 -0800
     [32m• [39m Engine revision 248290d6d5
     [32m• [39m Dart version 2.19.2
     [32m• [39m DevTools version 2.20.1

 [32m[✓] [39m Android toolchain - develop for Android devices (Android SDK version 33.0.1)
     [32m• [39m Android SDK at /Users/user/Library/Android/sdk
     [32m• [39m Platform android-33, build-tools 33.0.1
     [32m• [39m ANDROID_HOME = /Users/user/Library/Android/sdk
     [32m• [39m Java binary at: /Users/user/Library/ApplicationSupport/JetBrains/Toolbox/apps/AndroidStudio/ch-0/221.6008.13.2211.9514443/AndroidStudio.app/Contents/jre/Contents/Home/bin/java
     [32m• [39m Java version OpenJDK Runtime Environment (build 11.0.15+0-b2043.56-8887301)
     [32m• [39m All Android licenses accepted.

 [32m[✓] [39m Xcode - develop for iOS and macOS (Xcode 14.2)
     [32m• [39m Xcode at /Applications/Xcode.app/Contents/Developer
     [32m• [39m Build 14C18
     [32m• [39m CocoaPods version 1.11.3

 [32m[✓] [39m Chrome - develop for the web
     [32m• [39m Chrome at /Applications/GoogleChrome.app/Contents/MacOS/Google Chrome

 [32m[✓] [39m Android Studio (version 2022.1)
     [32m• [39m Android Studio at /Users/user/Library/ApplicationSupport/JetBrains/Toolbox/apps/AndroidStudio/ch-0/221.6008.13.2211.9514443/Android Studio.app/Contents
     [32m• [39m Flutter plugin can be installed from: 🔨 https://plugins.jetbrains.com/plugin/9212-flutter
     [32m• [39m Dart plugin can be installed from: 🔨 https://plugins.jetbrains.com/plugin/6351-dart
     [32m• [39m Java version OpenJDK Runtime Environment (build 11.0.15+0-b2043.56-8887301)

 [32m[✓] [39m Android Studio (version 2022.1)
     [32m• [39m Android Studio at /Users/user/Library/ApplicationSupport/JetBrains/Toolbox/apps/AndroidStudio/ch-0/221.6008.13.2211.9477386/Android Studio.app/Contents
     [32m• [39m Flutter plugin can be installed from: 🔨 https://plugins.jetbrains.com/plugin/9212-flutter
     [32m• [39m Dart plugin can be installed from: 🔨 https://plugins.jetbrains.com/plugin/6351-dart
     [32m• [39m Java version OpenJDK Runtime Environment (build 11.0.15+0-b2043.56-8887301)

 [32m[✓] [39m VS Code (version 1.72.1)
     [32m• [39m VS Code at /Applications/Visual Studio Code.app/Contents
     [32m• [39m Flutter extension version 3.52.0

 [32m[✓] [39m Connected device (2 available)
     [32m• [39m macOS (desktop) • macos  • darwin-arm64   • macOS 13.222D49 darwin-arm64
     [32m• [39m Chrome (web)    • chrome • web-javascript • Google Chrome 110.0.5481.77

 [32m[✓] [39m HTTP Host Availability
     [32m• [39m All required HTTP hosts are available

 [32m• [39m No issues found!

Flutter Application Metadata
Type: app Creation channel: stable Creation framework version: f4abaa0
For now, I have downgraded to v3.3.10 and it is working fine.

So, the fix for this was merged to master, but has not yet reached stable. However, the "fix", as you can see here: https://github.com/flutter/flutter/pull/117939/files, was just to throw a more specific error. I'm guessing that a plugin is missing the fileName field, and the tool is now being more strict. You can temporarily check out the master channel, run flutter pub get on your app, and have the tool report exactly what you need to fix.


Add automation around keeping in sync with Flux releases

As part of our discussion on vulnerability tracking, we decided it would be valuable to stay in sync with Flux binary and controller releases.
Automation can take several forms. Some ideas:

A new GH issue gets made in the weave-gitops repo when a flux version is released, prompting someone to upgrade wego
A PR is opened with the new flux version "embedded" for review

Some prior research from this issue:

@jpellizzari yes we need to keep the UI in-sync with flux2 release, in the same way we do for terraform provider. Some >examples:

https://github.com/fluxcd/flux2/blob/main/.github/workflows/update.yaml
https://github.com/fluxcd/terraform-provider-flux/blob/main/.github/workflows/update.yaml

Originally posted by @stefanprodan in https://github.com/fluxcd/webui/issues/41#issuecomment-840634274

I need a token with right access so this works well. I created this ticket https://github.com/weaveworks/corp/issues/1976.


openrc init script for alpine

I am using your excellent work on an alpine vm which uses openrc rather than systemd. Perhaps you'd like to include this working init script for others similarly  (Gentoo, etc) situated:

#!/sbin/openrc-run
##/etc/init.d/oink_ddns
name="oink_ddns"
cfgfile="/etc/oink_ddns/config.json"
command="/usr/bin/oink"
pidfile="/run/oink_ddns/oink_ddns.pid"
command_background="yes"
start_pre() {
checkpath --directory --owner root:root --mode 0775
/run/oink_ddns
}

This file and:
rc-update add oink_ddns default
does the job

Thank you for the script! I will try to include it as soon as possible. However, I do not have any experience with openrc or alpine and I have to figure out how to properly package the application and use the init script.

I suspect just making the script available, and mentioning it in Readme.md, is enough. SysV and run it init scripts would be similar. Of course you could create a separate package for every distro - too much work! Thanks again
From: Ricard Lado, PhD @.>
To: RLado/Oink @.>
CC: yknip0 @.>; Author @.>
Date: Jan 1, 2024 3:24:08 AM
Subject: Re: [RLado/Oink] openrc init script for alpine (Issue #2)

Thank you for the script! I will try to include it as soon as possible. However, I do not have any experience with openrc or alpine and I have to figure out how to properly package the application and use the init script.
—
Reply to this email directly, view it on GitHub[https://github.com/RLado/Oink/issues/2#issuecomment-1873263646], or unsubscribe[https://github.com/notifications/unsubscribe-auth/AS6MPLZTFCHQJB6AKFPRJ3DYMKFENAVCNFSM6AAAAABBIPD466VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTQNZTGI3DGNRUGY].
You are receiving this because you authored the thread.
[Tracking image][https://github.com/notifications/beacon/AS6MPLZHD6K6XGGRFLNXECDYMKFENA5CNFSM6AAAAABBIPD466WGG33NNVSW45C7OR4XAZNMJFZXG5LFINXW23LFNZ2KUY3PNVWWK3TUL5UWJTTPU66B4.gif]


Using example project event.type always has value of KeycloakEventType.onReady

Description of the bug
When using the login buttons, I get redirected to the Keycloak login page. After a successful login, the event.type stil has a value of KeycloakEventType.onReady. After I perform a logout, the value of event.type is still KeycloakEventType.onReady.
Steps to reproduce
Open the example application in android studio and attempt to login with valid credentials
Expected behavior
When a login is done, the event.type to have a valye of onAuthSuccess and when a logout is done, for the event.type to have a value of onAuthLogout
Logs
Performing hot restart...
Waiting for connection from debug service on Chrome...
Restarted application in 267ms.
KeycloakEventType.onReady
KeycloakEventType.onReady
KeycloakEventType.onReady
KeycloakEventType.onReady
KeycloakEventType.onReady
KeycloakEventType.onReady

Screenshots
No response
Platform
Windows
Browser
Chrome
Keycloak web version
21.1.2
Keycloak flutter version
0.0.21
Flutter version
3.3
Flutter channel
stable
Additional context
I am new to using flutter and Keycloak is it is possible that I have missed something but I did follow your setup and get as far as being directed to my Keycloak client login page so I am not sure how to move forward here.

I found the issue was that my user had an action it needed to perform on login. I fixed that but now I receive this error on successful login and redirect.
Launching lib\main.dart on Chrome in debug mode...
Waiting for connection from debug service on Chrome...
This app is linked to the debug service: ws://<IP_ADDRESS>:62459/x1tCrafl0jI=/ws
Debug service listening on ws://<IP_ADDRESS>:62459/x1tCrafl0jI=/ws
Debug service listening on ws://<IP_ADDRESS>:62459/x1tCrafl0jI=/ws
KeycloakEventType.onReady
Error: NoSuchMethodError: ''
Dynamic call with too few arguments. Expected: 1 Actual: 0
Receiver: Instance of '(KeycloakError) => Null'
Arguments: []
dart-sdk/lib/_internal/js_dev_runtime/private/ddc_runtime/errors.dart 288:49      throw_
dart-sdk/lib/_internal/js_dev_runtime/private/ddc_runtime/operations.dart 813:3   defaultNoSuchMethod
dart-sdk/lib/_internal/js_dev_runtime/patch/core_patch.dart 64:17                 noSuchMethod
dart-sdk/lib/_internal/js_dev_runtime/private/ddc_runtime/operations.dart 808:31  noSuchMethod
dart-sdk/lib/_internal/js_dev_runtime/private/ddc_runtime/operations.dart 283:12  callNSM
dart-sdk/lib/_internal/js_dev_runtime/private/ddc_runtime/operations.dart 369:10  _checkAndCall
dart-sdk/lib/_internal/js_dev_runtime/private/ddc_runtime/operations.dart 372:39  dcall
js/keycloak.js 1455:47                                                            onreadystatech
```ange

All issues were related to my stupidity in configuring the client. Apologies.


Have script update yum during start mode

Case RE-172: Previously, we would block if yum was not up to date.  This change makes it so that we attempt to update yum for the customer if the script is in start mode and report it back as a blocker if yum is unable to update.
Changelog: Have script update yum during start mode
By submitting pull requests to this repo, I agree to the Contributor License Agreement which can be found at: https://github.com/cpanel/elevate/blob/main/docs/cPanel-CLA.pdf

Discussed with @toddr.  We are going to go in a different direction with this, so I am going to go ahead and close this PR.


Adds exponential_time calculation to autocorr

Currently, autocorr only provides the integrated autocorrelation time. This adds an estimate of the exponential autocorrelation time based on the method proposed in http://www.sciencedirect.com/science/article/pii/S221313371300022X.

Codecov Report

Merging #223 into master will decrease coverage by 0.58%.
The diff coverage is 12.5%.

@@            Coverage Diff             @@
##           master     #223      +/-   ##
==========================================
- Coverage   73.62%   73.04%   -0.59%
==========================================
  Files          10       10
  Lines         834      842       +8
==========================================
+ Hits          614      615       +1
- Misses        220      227       +7

Impacted Files
Coverage Δ

emcee/autocorr.py
72% <12.5%> (-11.34%)
:arrow_down:

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update 692bcc3...ea3f88a. Read the comment docs.

Thanks for the contribution! I don't think that I can merge this because I've done a lot of experiments and I find that (despite what your reference says) this is pretty much never a good estimator for the integrated autocorrelation time. It's not that I don't think that a maximum likelihood estimator is a good idea, but I haven't found any problems where AR(1) is good! It's possible that an AR(2) estimator would be better, but I haven't really done the tests to confirm that. There is some discussion of some updates to the autocorrelation time estimation routine for the v3 release here: http://emcee.readthedocs.io/en/latest/tutorials/autocorr/
Thanks again and sorry for being slow.


Re-Creating Space with evaluate-cli not working

Presumably this error is happening because a Space was already created -- should evaluate-cli handle that situation?
Since I don't remember exactly where evaluate creates these, the error would be more helpful to me if it gave the url of the Space it's trying to create
As-is, the given url shown in the evaluate-cli error (which is thrown from requests/models.py) provides a different url, https://huggingface.co/api/repos/create. Going to that url, all I see it "{"error":"Sorry, we can't find the page you are looking for."}".  Dead-end!
Here's the evaluate-cli error:
(.env) bash-3.2$ evaluate-cli create "npmi" --module_type "measurement"
Traceback (most recent call last):
File "/Users/margaretmitchell/HuggingFace/git/data-measurements-tool/.env/bin/evaluate-cli", line 33, in
sys.exit(load_entry_point('evaluate', 'console_scripts', 'evaluate-cli')())
File "/Users/margaretmitchell/HuggingFace/git/data-measurements-tool/evaluate/src/evaluate/commands/evaluate_cli.py", line 86, in main
create_repo(namespace + "/" + module_slug, repo_type="space", space_sdk="gradio", private=args["private"])
File "/Users/margaretmitchell/HuggingFace/git/data-measurements-tool/.env/lib/python3.9/site-packages/huggingface_hub/utils/_deprecation.py", line 32, in inner_f
return f(*args, **kwargs)
File "/Users/margaretmitchell/HuggingFace/git/data-measurements-tool/.env/lib/python3.9/site-packages/huggingface_hub/hf_api.py", line 1468, in create_repo
raise err
File "/Users/margaretmitchell/HuggingFace/git/data-measurements-tool/.env/lib/python3.9/site-packages/huggingface_hub/hf_api.py", line 1457, in create_repo
_raise_with_request_id(r)
File "/Users/margaretmitchell/HuggingFace/git/data-measurements-tool/.env/lib/python3.9/site-packages/huggingface_hub/utils/_errors.py", line 95, in _raise_with_request_id
raise e
File "/Users/margaretmitchell/HuggingFace/git/data-measurements-tool/.env/lib/python3.9/site-packages/huggingface_hub/utils/_errors.py", line 90, in _raise_with_request_id
request.raise_for_status()
File "/Users/margaretmitchell/HuggingFace/git/data-measurements-tool/.env/lib/python3.9/site-packages/requests/models.py", line 1021, in raise_for_status
raise HTTPError(http_error_msg, response=self)
requests.exceptions.HTTPError: 409 Client Error: Conflict for url: https://huggingface.co/api/repos/create (Request ID: kpt54CtAgUuxffHYa1zE3) - You already created this space repo

Yes, if the space already exists this will fail. We can add extra checks for that! The space is created under your account.
You should see the space here:
https://huggingface.co/meg/

Great! Could we:

Add a check and perhaps a flag to overwrite
Print out the specific url where it's trying to create the space?