When I went to run examples/quantum_transformer/Qtransformer-torch.ipynb, an error occurred

When executed !pip install --editable .
Here's the bug report：
Obtaining file:///E:/torchquantum-main/examples/quantum_transformer/torchquantum
  Preparing metadata (setup.py): started
  Preparing metadata (setup.py): finished with status 'done'
Requirement already satisfied: dill==0.3.4 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from torchquantum==0.1.8) (0.3.4)
Requirement already satisfied: matplotlib>=3.3.2 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from torchquantum==0.1.8) (3.8.0)
Collecting nbsphinx (from torchquantum==0.1.8)
  Obtaining dependency information for nbsphinx from https://files.pythonhosted.org/packages/f0/27/0aa888e25132542181350e38cb89467ad309ff369b10f6fbe8b57ca2a1a9/nbsphinx-0.9.4-py3-none-any.whl.metadata
  Using cached nbsphinx-0.9.4-py3-none-any.whl.metadata (2.1 kB)
Requirement already satisfied: numpy>=1.19.2 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from torchquantum==0.1.8) (1.26.0)
Requirement already satisfied: opt_einsum in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from torchquantum==0.1.8) (3.3.0)
Requirement already satisfied: pathos>=0.2.7 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from torchquantum==0.1.8) (0.2.8)
Requirement already satisfied: pylatexenc>=2.10 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from torchquantum==0.1.8) (2.10)
Collecting pyscf>=2.0.1 (from torchquantum==0.1.8)
  Using cached pyscf-2.5.0.tar.gz (8.7 MB)
  Preparing metadata (setup.py): started
  Preparing metadata (setup.py): finished with status 'done'
Collecting qiskit<1.0.0,>=0.39.0 (from torchquantum==0.1.8)
  Obtaining dependency information for qiskit<1.0.0,>=0.39.0 from https://files.pythonhosted.org/packages/84/fe/ff6942d73e5d0f84f21557f5f43916dec01cf62eca8428f11e9c0375a4f6/qiskit-0.46.1-py3-none-any.whl.metadata
  Using cached qiskit-0.46.1-py3-none-any.whl.metadata (12 kB)
Collecting recommonmark (from torchquantum==0.1.8)
  Obtaining dependency information for recommonmark from https://files.pythonhosted.org/packages/c6/77/ed589c75db5d02a77a1d5d2d9abc63f29676467d396c64277f98b50b79c2/recommonmark-0.7.1-py2.py3-none-any.whl.metadata
  Using cached recommonmark-0.7.1-py2.py3-none-any.whl.metadata (463 bytes)
Collecting qiskit_ibm_runtime==0.20.0 (from torchquantum==0.1.8)
  Obtaining dependency information for qiskit_ibm_runtime==0.20.0 from https://files.pythonhosted.org/packages/c8/b5/f7a974f2f2888a4e317c67aee5b4b8afbecbe892d29fcc349ac7db0edf5c/qiskit_ibm_runtime-0.20.0-py3-none-any.whl.metadata
  Using cached qiskit_ibm_runtime-0.20.0-py3-none-any.whl.metadata (18 kB)
Collecting qiskit-aer==0.13.3 (from torchquantum==0.1.8)
  Obtaining dependency information for qiskit-aer==0.13.3 from https://files.pythonhosted.org/packages/4a/a9/c8da78031030b73c3cd8d7844091a5edb57df488db6e4151eb609911d865/qiskit_aer-0.13.3-cp39-cp39-win_amd64.whl.metadata
  Using cached qiskit_aer-0.13.3-cp39-cp39-win_amd64.whl.metadata (6.2 kB)
Requirement already satisfied: scipy>=1.5.2 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from torchquantum==0.1.8) (1.11.3)
Requirement already satisfied: setuptools>=52.0.0 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from torchquantum==0.1.8) (68.0.0)
Collecting tensorflow>=2.4.1 (from torchquantum==0.1.8)
  Obtaining dependency information for tensorflow>=2.4.1 from https://files.pythonhosted.org/packages/f1/92/fdc0b7f5123342dc0a3bc883d76ec4f0de1f58a6a6869d06c3c38d319b9b/tensorflow-2.16.1-cp39-cp39-win_amd64.whl.metadata
  Using cached tensorflow-2.16.1-cp39-cp39-win_amd64.whl.metadata (3.5 kB)
Requirement already satisfied: torch>=1.8.0 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from torchquantum==0.1.8) (2.1.0)
Collecting torchdiffeq>=0.2.3 (from torchquantum==0.1.8)
  Obtaining dependency information for torchdiffeq>=0.2.3 from https://files.pythonhosted.org/packages/2c/9b/b9c3e17f261e30f630511390e0dd33fc529073f1f2db222a1f09dc49a1ae/torchdiffeq-0.2.3-py3-none-any.whl.metadata
  Using cached torchdiffeq-0.2.3-py3-none-any.whl.metadata (488 bytes)
Requirement already satisfied: torchpack>=0.3.0 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from torchquantum==0.1.8) (0.3.1)
Requirement already satisfied: torchvision>=0.9.0.dev20210130 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from torchquantum==0.1.8) (0.16.0)
Requirement already satisfied: tqdm>=4.56.0 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from torchquantum==0.1.8) (4.66.1)
Requirement already satisfied: psutil>=5 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from qiskit-aer==0.13.3->torchquantum==0.1.8) (5.9.0)
Requirement already satisfied: requests>=2.19 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from qiskit_ibm_runtime==0.20.0->torchquantum==0.1.8) (2.31.0)
Requirement already satisfied: requests-ntlm>=1.1.0 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from qiskit_ibm_runtime==0.20.0->torchquantum==0.1.8) (1.2.0)
Requirement already satisfied: urllib3>=1.21.1 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from qiskit_ibm_runtime==0.20.0->torchquantum==0.1.8) (2.0.7)
Requirement already satisfied: python-dateutil>=2.8.0 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from qiskit_ibm_runtime==0.20.0->torchquantum==0.1.8) (2.8.2)
Requirement already satisfied: websocket-client>=1.5.1 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from qiskit_ibm_runtime==0.20.0->torchquantum==0.1.8) (1.6.4)
Collecting ibm-platform-services>=0.22.6 (from qiskit_ibm_runtime==0.20.0->torchquantum==0.1.8)
  Using cached ibm_platform_services-0.53.6-py3-none-any.whl
Requirement already satisfied: contourpy>=1.0.1 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from matplotlib>=3.3.2->torchquantum==0.1.8) (1.1.1)
Requirement already satisfied: cycler>=0.10 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from matplotlib>=3.3.2->torchquantum==0.1.8) (0.12.1)
Requirement already satisfied: fonttools>=4.22.0 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from matplotlib>=3.3.2->torchquantum==0.1.8) (4.43.1)
Requirement already satisfied: kiwisolver>=1.0.1 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from matplotlib>=3.3.2->torchquantum==0.1.8) (1.4.5)
Requirement already satisfied: packaging>=20.0 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from matplotlib>=3.3.2->torchquantum==0.1.8) (23.1)
Requirement already satisfied: pillow>=6.2.0 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from matplotlib>=3.3.2->torchquantum==0.1.8) (10.0.1)
Requirement already satisfied: pyparsing>=2.3.1 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from matplotlib>=3.3.2->torchquantum==0.1.8) (3.1.1)
Requirement already satisfied: importlib-resources>=3.2.0 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from matplotlib>=3.3.2->torchquantum==0.1.8) (6.1.0)
Requirement already satisfied: multiprocess>=0.70.12 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from pathos>=0.2.7->torchquantum==0.1.8) (<IP_ADDRESS>)
Requirement already satisfied: pox>=0.3.0 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from pathos>=0.2.7->torchquantum==0.1.8) (0.3.3)
Requirement already satisfied: ppft>=<IP_ADDRESS> in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from pathos>=0.2.7->torchquantum==0.1.8) (<IP_ADDRESS>)
Requirement already satisfied: h5py>=2.7 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from pyscf>=2.0.1->torchquantum==0.1.8) (3.10.0)
Collecting qiskit-terra==0.46.1 (from qiskit<1.0.0,>=0.39.0->torchquantum==0.1.8)
  Obtaining dependency information for qiskit-terra==0.46.1 from https://files.pythonhosted.org/packages/b5/37/7d13b99eb9259446d438a93be173222ef0069808f0f340522d352c0e58e0/qiskit_terra-0.46.1-cp38-abi3-win_amd64.whl.metadata
  Using cached qiskit_terra-0.46.1-cp38-abi3-win_amd64.whl.metadata (12 kB)
Requirement already satisfied: rustworkx>=0.13.0 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from qiskit-terra==0.46.1->qiskit<1.0.0,>=0.39.0->torchquantum==0.1.8) (0.13.2)
Requirement already satisfied: ply>=3.10 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from qiskit-terra==0.46.1->qiskit<1.0.0,>=0.39.0->torchquantum==0.1.8) (3.11)
Requirement already satisfied: sympy>=1.3 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from qiskit-terra==0.46.1->qiskit<1.0.0,>=0.39.0->torchquantum==0.1.8) (1.12)
Requirement already satisfied: stevedore>=3.0.0 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from qiskit-terra==0.46.1->qiskit<1.0.0,>=0.39.0->torchquantum==0.1.8) (5.1.0)
Requirement already satisfied: typing-extensions in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from qiskit-terra==0.46.1->qiskit<1.0.0,>=0.39.0->torchquantum==0.1.8) (4.7.1)
Collecting tensorflow-intel==2.16.1 (from tensorflow>=2.4.1->torchquantum==0.1.8)
  Obtaining dependency information for tensorflow-intel==2.16.1 from https://files.pythonhosted.org/packages/58/84/34b960a5f6b8f6dc410661ced371773065d7485e35c97ee28986e7df65f3/tensorflow_intel-2.16.1-cp39-cp39-win_amd64.whl.metadata
  Using cached tensorflow_intel-2.16.1-cp39-cp39-win_amd64.whl.metadata (5.0 kB)
Requirement already satisfied: absl-py>=1.0.0 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from tensorflow-intel==2.16.1->tensorflow>=2.4.1->torchquantum==0.1.8) (2.0.0)
Collecting astunparse>=1.6.0 (from tensorflow-intel==2.16.1->tensorflow>=2.4.1->torchquantum==0.1.8)
  Obtaining dependency information for astunparse>=1.6.0 from https://files.pythonhosted.org/packages/2b/03/13dde6512ad7b4557eb792fbcf0c653af6076b81e5941d36ec61f7ce6028/astunparse-1.6.3-py2.py3-none-any.whl.metadata
  Using cached astunparse-1.6.3-py2.py3-none-any.whl.metadata (4.4 kB)
Collecting flatbuffers>=23.5.26 (from tensorflow-intel==2.16.1->tensorflow>=2.4.1->torchquantum==0.1.8)
  Obtaining dependency information for flatbuffers>=23.5.26 from https://files.pythonhosted.org/packages/41/f0/7e988a019bc54b2dbd0ad4182ef2d53488bb02e58694cd79d61369e85900/flatbuffers-24.3.25-py2.py3-none-any.whl.metadata
  Using cached flatbuffers-24.3.25-py2.py3-none-any.whl.metadata (850 bytes)
Collecting gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1 (from tensorflow-intel==2.16.1->tensorflow>=2.4.1->torchquantum==0.1.8)
  Obtaining dependency information for gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1 from https://files.pythonhosted.org/packages/fa/39/5aae571e5a5f4de9c3445dae08a530498e5c53b0e74410eeeb0991c79047/gast-0.5.4-py3-none-any.whl.metadata
  Using cached gast-0.5.4-py3-none-any.whl.metadata (1.3 kB)
Collecting google-pasta>=0.1.1 (from tensorflow-intel==2.16.1->tensorflow>=2.4.1->torchquantum==0.1.8)
  Obtaining dependency information for google-pasta>=0.1.1 from https://files.pythonhosted.org/packages/a3/de/c648ef6835192e6e2cc03f40b19eeda4382c49b5bafb43d88b931c4c74ac/google_pasta-0.2.0-py3-none-any.whl.metadata
  Using cached google_pasta-0.2.0-py3-none-any.whl.metadata (814 bytes)
Collecting libclang>=13.0.0 (from tensorflow-intel==2.16.1->tensorflow>=2.4.1->torchquantum==0.1.8)
  Obtaining dependency information for libclang>=13.0.0 from https://files.pythonhosted.org/packages/0b/2d/3f480b1e1d31eb3d6de5e3ef641954e5c67430d5ac93b7fa7e07589576c7/libclang-18.1.1-py2.py3-none-win_amd64.whl.metadata
  Using cached libclang-18.1.1-py2.py3-none-win_amd64.whl.metadata (5.3 kB)
Collecting ml-dtypes~=0.3.1 (from tensorflow-intel==2.16.1->tensorflow>=2.4.1->torchquantum==0.1.8)
  Obtaining dependency information for ml-dtypes~=0.3.1 from https://files.pythonhosted.org/packages/38/3c/5d058a50340759423b25cb99f930cb3691fc30ebe86d53fdf1bff55c2d71/ml_dtypes-0.3.2-cp39-cp39-win_amd64.whl.metadata
  Using cached ml_dtypes-0.3.2-cp39-cp39-win_amd64.whl.metadata (20 kB)
Requirement already satisfied: protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from tensorflow-intel==2.16.1->tensorflow>=2.4.1->torchquantum==0.1.8) (4.23.4)
Requirement already satisfied: six>=1.12.0 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from tensorflow-intel==2.16.1->tensorflow>=2.4.1->torchquantum==0.1.8) (1.16.0)
Requirement already satisfied: termcolor>=1.1.0 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from tensorflow-intel==2.16.1->tensorflow>=2.4.1->torchquantum==0.1.8) (2.3.0)
Collecting wrapt>=1.11.0 (from tensorflow-intel==2.16.1->tensorflow>=2.4.1->torchquantum==0.1.8)
  Obtaining dependency information for wrapt>=1.11.0 from https://files.pythonhosted.org/packages/74/f2/96ed140b08743f7f68d5bda35a2a589600781366c3da96f056043d258b1a/wrapt-1.16.0-cp39-cp39-win_amd64.whl.metadata
  Using cached wrapt-1.16.0-cp39-cp39-win_amd64.whl.metadata (6.8 kB)
Requirement already satisfied: grpcio<2.0,>=1.24.3 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from tensorflow-intel==2.16.1->tensorflow>=2.4.1->torchquantum==0.1.8) (1.59.2)
Collecting tensorboard<2.17,>=2.16 (from tensorflow-intel==2.16.1->tensorflow>=2.4.1->torchquantum==0.1.8)
  Obtaining dependency information for tensorboard<2.17,>=2.16 from https://files.pythonhosted.org/packages/3a/d0/b97889ffa769e2d1fdebb632084d5e8b53fc299d43a537acee7ec0c021a3/tensorboard-2.16.2-py3-none-any.whl.metadata
  Using cached tensorboard-2.16.2-py3-none-any.whl.metadata (1.6 kB)
Collecting keras>=3.0.0 (from tensorflow-intel==2.16.1->tensorflow>=2.4.1->torchquantum==0.1.8)
  Obtaining dependency information for keras>=3.0.0 from https://files.pythonhosted.org/packages/8d/44/c604ecc5c9993b6574a681f2f505e980725871a89cfd9e48597b12ccb506/keras-3.3.3-py3-none-any.whl.metadata
  Using cached keras-3.3.3-py3-none-any.whl.metadata (5.7 kB)
Collecting tensorflow-io-gcs-filesystem>=0.23.1 (from tensorflow-intel==2.16.1->tensorflow>=2.4.1->torchquantum==0.1.8)
  Obtaining dependency information for tensorflow-io-gcs-filesystem>=0.23.1 from https://files.pythonhosted.org/packages/7f/a7/5cf33981539f8bb8d50e5743d82435e09b387583f48ca40c211a9bf3ea3c/tensorflow_io_gcs_filesystem-0.31.0-cp39-cp39-win_amd64.whl.metadata
  Using cached tensorflow_io_gcs_filesystem-0.31.0-cp39-cp39-win_amd64.whl.metadata (14 kB)
Requirement already satisfied: filelock in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from torch>=1.8.0->torchquantum==0.1.8) (3.13.1)
Requirement already satisfied: networkx in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from torch>=1.8.0->torchquantum==0.1.8) (3.1)
Requirement already satisfied: jinja2 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from torch>=1.8.0->torchquantum==0.1.8) (3.1.2)
Requirement already satisfied: fsspec in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from torch>=1.8.0->torchquantum==0.1.8) (2023.10.0)
Requirement already satisfied: loguru in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from torchpack>=0.3.0->torchquantum==0.1.8) (0.7.2)
Requirement already satisfied: multimethod in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from torchpack>=0.3.0->torchquantum==0.1.8) (1.10)
Requirement already satisfied: pyyaml in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from torchpack>=0.3.0->torchquantum==0.1.8) (6.0.1)
Requirement already satisfied: tensorpack in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from torchpack>=0.3.0->torchquantum==0.1.8) (0.11)
Requirement already satisfied: toml in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from torchpack>=0.3.0->torchquantum==0.1.8) (0.10.2)
Requirement already satisfied: colorama in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from tqdm>=4.56.0->torchquantum==0.1.8) (0.4.6)
Collecting docutils>=0.18.1 (from nbsphinx->torchquantum==0.1.8)
  Obtaining dependency information for docutils>=0.18.1 from https://files.pythonhosted.org/packages/8f/d7/9322c609343d929e75e7e5e6255e614fcc67572cfd083959cdef3b7aad79/docutils-0.21.2-py3-none-any.whl.metadata
  Using cached docutils-0.21.2-py3-none-any.whl.metadata (2.8 kB)
Collecting nbconvert!=5.4,>=5.3 (from nbsphinx->torchquantum==0.1.8)
  Obtaining dependency information for nbconvert!=5.4,>=5.3 from https://files.pythonhosted.org/packages/b8/bb/bb5b6a515d1584aa2fd89965b11db6632e4bdc69495a52374bcc36e56cfa/nbconvert-7.16.4-py3-none-any.whl.metadata
  Using cached nbconvert-7.16.4-py3-none-any.whl.metadata (8.5 kB)
Requirement already satisfied: traitlets>=5 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from nbsphinx->torchquantum==0.1.8) (5.7.1)
Collecting nbformat (from nbsphinx->torchquantum==0.1.8)
  Obtaining dependency information for nbformat from https://files.pythonhosted.org/packages/a9/82/0340caa499416c78e5d8f5f05947ae4bc3cba53c9f038ab6e9ed964e22f1/nbformat-5.10.4-py3-none-any.whl.metadata
  Using cached nbformat-5.10.4-py3-none-any.whl.metadata (3.6 kB)
Collecting sphinx>=1.8 (from nbsphinx->torchquantum==0.1.8)
  Obtaining dependency information for sphinx>=1.8 from https://files.pythonhosted.org/packages/b4/fa/130c32ed94cf270e3d0b9ded16fb7b2c8fea86fa7263c29a696a30c1dde7/sphinx-7.3.7-py3-none-any.whl.metadata
  Using cached sphinx-7.3.7-py3-none-any.whl.metadata (6.0 kB)
Collecting commonmark>=0.8.1 (from recommonmark->torchquantum==0.1.8)
  Obtaining dependency information for commonmark>=0.8.1 from https://files.pythonhosted.org/packages/b1/92/dfd892312d822f36c55366118b95d914e5f16de11044a27cf10a7d71bbbf/commonmark-0.9.1-py2.py3-none-any.whl.metadata
  Using cached commonmark-0.9.1-py2.py3-none-any.whl.metadata (5.7 kB)
Collecting ibm-cloud-sdk-core<4.0.0,>=3.19.2 (from ibm-platform-services>=0.22.6->qiskit_ibm_runtime==0.20.0->torchquantum==0.1.8)
  Using cached ibm_cloud_sdk_core-3.20.0-py3-none-any.whl
Requirement already satisfied: zipp>=3.1.0 in c:\users\qian\.conda\envs\quamtumtorch\lib\site-packages (from importlib-resources>=3.2.0->matplotlib>=3.3.2->torchquantum==0.1.8) (3.11.0)
Collecting beautifulsoup4 (from nbconvert!=5.4,>=5.3->nbsphinx->torchquantum==0.1.8)
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Using cached qiskit_terra-0.46.1-cp38-abi3-win_amd64.whl (5.2 MB)
Using cached tensorflow-2.16.1-cp39-cp39-win_amd64.whl (2.1 kB)
Using cached tensorflow_intel-2.16.1-cp39-cp39-win_amd64.whl (376.9 MB)
Using cached torchdiffeq-0.2.3-py3-none-any.whl (31 kB)
Using cached nbsphinx-0.9.4-py3-none-any.whl (31 kB)
Using cached recommonmark-0.7.1-py2.py3-none-any.whl (10 kB)
Using cached commonmark-0.9.1-py2.py3-none-any.whl (51 kB)
Using cached docutils-0.21.2-py3-none-any.whl (587 kB)
Using cached nbconvert-7.16.4-py3-none-any.whl (257 kB)
Using cached nbformat-5.10.4-py3-none-any.whl (78 kB)
Using cached sphinx-7.3.7-py3-none-any.whl (3.3 MB)
Using cached tensorboard-2.16.2-py3-none-any.whl (5.5 MB)
Using cached alabaster-0.7.16-py3-none-any.whl (13 kB)
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Building wheels for collected packages: pyscf
  Building wheel for pyscf (setup.py): started
  Building wheel for pyscf (setup.py): finished with status 'error'
  Running setup.py clean for pyscf
Failed to build pyscf
  error: subprocess-exited-with-error

  python setup.py bdist_wheel did not run successfully.
  exit code: 1

  [5 lines of output]
  running bdist_wheel
  running build
  running build_py
  cmake -SC:\Users\qian\AppData\Local\Temp\pip-install-pbd6ple2\pyscf_abe21b53b61a4cbe95d4d6a24429da22\pyscf\lib -Bbuild\temp.win-amd64
  error: command 'cmake' failed: None
  [end of output]

  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for pyscf
ERROR: Could not build wheels for pyscf, which is required to install pyproject.toml-based projects.

My computer is Windows 10，Use the command line of the conda window to open the program with a jupyter notebook，I would like to ask what is causing this and what can I do to fix this?

Hi, I'll go ahead and take a look into this! For reference though, can you directly install pyscf (either through pip or conda) or does that throw a similar error?

Hi @GenericP3rson, I am getting the same issue when downloading pyscf. Any idea of what it could be?

Hi, sorry about the delay! It seems to be a Windows issue and can be resolved when using WSL. Check out this thread for more details: https://github.com/pyscf/pyscf/issues/1857


WIP: Add flake-parts module

I'm opening a draft PR (instead of waiting for full implementation) just to get something working, as well as to get any early feedback. The commits in this PR can be squash merged (or I can rebase them if necessary) once ready.
This PR adds a flake-parts module for working with treefmt in the most ergonomic way. It also adds a flake check to test in CI that the source tree is formatted. You can see a demo here: https://github.com/srid/haskell-template/pull/75
Resolves #1

[ ] Can the types.raw be replaced with appropriate types? See also: https://github.com/numtide/treefmt-nix/issues/2
[ ] Add documentation

Maybe I should read more of the treefmt implementation, but I'm confused by the supposed submodule-ish options in this PR. Doesn't treefmt already do its things in modules, that just need to be imported?

The module options are spread across several files. They are passed to evalModules here: https://github.com/numtide/treefmt-nix/blob/4230552f8a71c510d222f1804e42184e106aafd7/default.nix#L23-L25
Is there a straightforward way to "merge" them to produce a single submodule for use in flake-parts options?

Is there a straightforward way to "merge" them to produce a single submodule for use in flake-parts options?

imports = [ ], or submoduleWith { modules = [ ... ]; } instead of submodule.
Another trick is you could use (<<treefmt>>.evalModule foo {}).type, which is a submodule type with all treefmt stuff in it. This doesn't show intent like it should, so perhaps it's better to refactor lib.nix a bit to extract the logic leading up to lib.evalModules into a function. Then you can do submoduleWith { modules = <<treefmt>>.prepareModule foo bar; }. It's the same thing, but less likely to be accidentally broken.

@roberth Is flake-parts supposed to work with NixOS modules, in theory? Because this approach:

imports = [ ], or submoduleWith { modules = [ ... ]; } instead of submodule.

gives me:
error: The option `build.wrapper' is defined multiple times.

I'll try the other approach, but now I remember that I have already tried before something like that in vain: https://github.com/Platonic-Systems/treefmt-flake/pull/6/files#diff-0549e7a291dba4b0c8148bb5c499a14bb7c1cd0aa61e74e31623467004ad2b6fR23

Made some progress:
              config = mkOption {
                description = "treefmt-nix configuration";
                # type = types.raw; # TODO: Should use module-options.nix
                type =
                  let
                    mod = lib.evalModules {
                      modules = (import ./.).all-modules pkgs;
                    };
                  in
                  types.submodule {
                    options = builtins.removeAttrs mod.options [
                      "_module"
                    ];
                    config = mod.config;
                  };
              };

But this now throws:
error: The option `perSystem.aarch64-darwin.treefmt.config.programs.cabal-fmt.enable' has conflicting definition values:
       - In `/nix/store/d7538jxb7zw3hawcrwp67g9rvqdgcmp5-source/flake-module.nix': false
       - In `<unknown-file>, via option perSystem': true

Yes, at the use site cabal-fmt.enable is set to true ... but somehow that triggres a conflict with flake-parts only.

error: The option `build.wrapper' is defined multiple times.

Actually, I found a solution to this: need to move the wrapper definition from "config" to under "options" (as default). Why is that? 🤷🏿 I wish Nix had Haskell-like type system ...

This is ready for review!
@zimbatm Let me know what decide about the type of the programs option.

Made a PR to add it to flake.parts if that's ok.
Not sure about the naming. The repo is treefmt-nix but the tool and option names are treefmt. What do you think?

https://github.com/hercules-ci/flake.parts-website/pull/65

I'll add a link to the rendered docs there.

How can I access treefmt itself for interactive usage?

perSystem { config }: = {
     packages.treefmt = config.treefmt.build.wrapper;
};

Would it make sense to add this output?

https://github.com/numtide/treefmt-nix/pull/18

@Mic92 Does https://flake.parts/debug.html help?
I feel like unconditionally adding packages.treefmt (#18) is unnecessary in most cases. It can also feel intrusive; for example, I don't want packages.treefmt showing up CI jobs of every project of mine using this flake module. Perhaps it can be made conditional based on an enable option?

I think instead of a package it could also become module documentation (i.e. an example that adds the wrapped treefmt to a devshell) but just now it is not very visible without digging into the code how one can access treefmt otherwise.


Deleting unused code in segment upload

After the refactor of segment upload, there remains some unused code the old segment upload path took. Removing

Codecov Report

Merging #3221 into master will increase coverage by 0.17%.
The diff coverage is n/a.

@@             Coverage Diff              @@
##             master    #3221      +/-   ##
============================================
+ Coverage     70.16%   70.33%   +0.17%
  Complexity        4        4
============================================
  Files           957      957
  Lines         44344    44211     -133
  Branches       5979     5957      -22
============================================
- Hits          31112    31094      -18
+ Misses        11163    11050     -113
+ Partials       2069     2067       -2

Impacted Files
Coverage Δ
Complexity Δ

...i/resources/PinotSegmentUploadRestletResource.java
60% <ø> (+23.6%)
0 <0> (ø)
:arrow_down:

...a/manager/realtime/RealtimeSegmentDataManager.java
50% <0%> (-25%)
0% <0%> (ø)

...pinot/controller/validation/ValidationManager.java
72.51% <0%> (-14.04%)
0% <0%> (ø)

...pinot/core/operator/docidsets/OrBlockDocIdSet.java
84.9% <0%> (-9.44%)
0% <0%> (ø)

...impl/dictionary/DoubleOnHeapMutableDictionary.java
75.55% <0%> (-6.67%)
0% <0%> (ø)

...nsport/netty/PooledNettyClientResourceManager.java
85.41% <0%> (-4.17%)
0% <0%> (ø)

...inot/transport/netty/NettyTCPClientConnection.java
82.31% <0%> (-3.41%)
0% <0%> (ø)

...mpl/dictionary/DoubleOffHeapMutableDictionary.java
70.9% <0%> (-1.82%)
0% <0%> (ø)

...not/common/metadata/segment/SegmentZKMetadata.java
78% <0%> (-1.34%)
0% <0%> (ø)

...ebalance/ReplicaGroupRebalanceSegmentStrategy.java
82.62% <0%> (-0.85%)
0% <0%> (ø)

... and 11 more

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 980544c...44adedd. Read the comment docs.


Support Author-namedspaced Thumbnails and Revamp building_map_generator

Unify building_map_generator

This PR unifies all building_map_generators into a single one and implements argparse command line argument handling.
Additionally, the gazebo generator will call pit_crew  to obtain missing models automatically when generating .world files.

Support Author-namespaced Thumbnails

Additionally, the thumbnail generators have been revamped to support the new author-namedspaced thumbnail directory structure as shown in https://github.com/osrf/traffic_editor_assets/pull/2
Lastly, output_dir for crop.py has been set by default to the ~/.traffic_editor/assets/thumbnails/images/cropped/ directory, for parity with the automatic clone on build of traffic_editor of traffic_editor_assets

Notes

A new package dependency for traffic_editor has been added. Specifically for building_map_tools, in order to ensure that traffic_editor has access to the pit_crew dependency.

Request for test: I can't test the traffic_editor thumbnail generation pipeline due to having a different version of OpenCV (4.0.0), could someone test it out?

Oh, whoops!
Output dir should be optional, I'll update the readme accordingly.

Oh, whoops!
Output dir should be optional, I'll update the readme accordingly.

here
https://github.com/methylDragon/traffic_editor/blob/ch3/author-namespaced-thumbnails/traffic_editor/thumbnail_generator/scripts/crop.py#L84

Yep! When you have - and -- in argparse, it specifies an optional argument

Or do you mean the model file?

Clarification:
Specifying an output directory is optional, if you want to specify one, -o or --output_dir should be specified

:+1:  I can't merge it due to no write access though haha


Localize contributor cheatsheet in Italian

Contributor cheatsheet content in the below link:
https://github.com/kubernetes/community/tree/master/contributors/guide/contributor-cheatsheet
Translation result will needs to be put into the community repo as well.
/kind feature
/language it
/cc @kubernetes/sig-docs-it-owners

checkin
/remove-lifecycle stale

ping @kubernetes/sig-docs-it-owners

We're working on including additional Italian people to speed up these kind of issues.

ok, sounds good.

/priority backlog
/kind feature

/remove-lifecycle stale

@sftim @chenrui333  could you kindly help me in understanding what is required here?
Only changes to https://github.com/kubernetes/community/ or something on the web site as well?

/assign
/lifecycle active

These changes only apply to https://github.com/kubernetes/community/
There are already, for example:

https://github.com/kubernetes/community/blob/master/contributors/guide/contributor-cheatsheet/README-ko.md
https://github.com/kubernetes/community/blob/master/contributors/guide/contributor-cheatsheet/README-uk.md

This issue is done if you create https://github.com/kubernetes/community/blob/master/contributors/guide/contributor-cheatsheet/README-it.md and it is a good localization of the English original.

@sftim thanks! PR in flight


Gephi networkgraph not interactive on touchscreen as exported from 0.9.2 plugin

As exported from the current sigmajs plugin (updated earlier this year) in Gephi 0.9.2, the network graphs are not interactive on touch devices- the graph displays but cannot be searched, zoomed, or have nodes selected. The current sigmajs site says the graphs should be interactive on browsers and touch devices, and the example given on the main page (sigmajs.org) does allow nodes to be selected from a touch device. Is the version of sigmajs currently in the plugin not current enough to have that feature, and if so, is there a way to update the files generated by the exporter?

If I remember correctly the exporter uses a very old version of sigma and never updated it. I have no control over the exporter.

If I remember correctly the exporter uses a very old version of sigma and never updated it. I have no control over the exporter.

ok- thank you for getting back so quickly!

It it possible to update to a newer version or in an other way get compatibility with smaller devices?


Cache Snyk binaries in snyk-security workflow

Trello card
Closes #1108
Updates the snyk-security workflow to cache the Snyk binary (and the /usr/local/bin/snyk wrapper script) between runs of the Snyk workflow.
We don't want to cache the Snyk binary for more than say 1 day, otherwise we'll end up running an old version indefinitely. The actions/cache action doesn't allow you to specify an expiry time, so we instead include the current date in the cache key.
We include the runner OS in the cache key because the path to the Snyk binary varies depending on OS. For example, on Linux, the Snyk binary lives at /usr/local/bin/snyk-linux.
Tested in a repo on my own account: example cache miss, example cache hit

@sengi The docs seem to suggest that workflow runs on PRs are supposed to be able to reuse the cache from the main branch, but we'll see if that's what happens in practice 🤞


Feature: Ability to seek track to specific millisecond

For shorter audio tracks, it can be useful to give the ability to seek to milliseconds (rather than seconds) so that the user has more granular control. Seeking to seconds on a very short audio track (such as a voice-recorded chat message which lasts only for a few seconds) can cause sliders which update based on the track's playback point to appear jumpy. Seeking to milliseconds instead allows for such UI interactions to be much smoother.

Please resolve the conflicts and then I'll review the changes

Sorry, my personal laptop broke and I've just had no time to do this, but sure, I'll do it as soon as I can get around to it.


Error installing typing definitions

Hi, as a newcomer to JS and Angular i can not dive deep into the problem.
Though i found some error's in the installation guide:
The command "typings install --save --ambient firebase" should probably be changed to "typings install --save --global dt~firebase".
I got it to work after reading this comment:
https://github.com/typings/typings/issues/463#issuecomment-220048703
Hope you have enough info!

Hey @eelcowen!
We ship AngularFire with the Firebase 3.0 typings now. Check the getting started guide for more.
All you need to do is add the typings to your tsconfig.json file in the files section:
"files": [
  "node_modules/angularfire2/firebase3.d.ts"
]

Hey @davideast
The file you mentioned does not exist in angularfire2 "node_modules/angularfire2/firebase3.d.ts"
There another firebase.d.ts in a different location
"node_modules/angularfire2/node_modules/firebase/firebase.d.ts"
adding "node_modules/angularfire2/node_modules/firebase/firebase.d.ts" to tsconfig.json OR the non-existent "node_modules/angularfire2/firebase3.d.ts" doesn't resolve issue.
Unable to load transpiler to transpile http://localhost:3000/node_modules/angularfire2/angularfire2.js
Error loading http://localhost:3000/node_modules/angularfire2/angularfire2.js as "angularfire2" from http://localhost:3000/app/main.js


Revert "[FLINK-4913][yarn] include user jars in system class loader"

In general, a very good fix imo, but it is part of RC1 for 1.1.4. It might be better to exclude it for the bug fix release since it changes class loading behaviour between minor version. This could possibly lead to hard to debug Cannot cast class A to A exceptions if a user relies on loading classes via the user code loader which are available via the system class loader with this commit.

Thanks for the PR @uce! Could you explain how the user would retrieve the user class loader to load classes during runtime? Is the user class loader exposed to the user?

Hey Max! I was also not aware of this issue but Stephan pointed it out to me. You can access the user code loader in rich functions via
getRuntimeContext().getUserCodeClassLoader()

I think it's very good that we changed it for 1.2, but just to make sure that there are no surprises (although unlikely) for users upgrading within the 1.1 series.

Thanks. +1 for reverting then!

I also was very torn when it came to this change.
In the end, I lean towards keeping user behavior in 1.1.4 consistent. The fix is in 1.2, which is not too far away, and there it is great!

That's completely reasonable. For 1.2, should we change the way getRuntimeContext().getUserCodeClassLoader() works for per-job Yarn clusters? Should it return the system class loader there?

Rebased this on latest release branch and going to merge later today after Travis.

+1

Rebased and pushed to travis again: https://travis-ci.org/rmetzger/flink/builds/178664750

Merging ...

@uce can you close the PR? I forgot that pushes to a branch different then master don't close a PR.


0.10.2 | Can't turn TV off

Describe The Bug:

Hi, I just updated to 0.10.2, and now I cannot turn my TV off.
I turned it on using HomeKit. Now if I use HomeKit or the TV IR remote to turn the TV off it just turns itself on again after about one second.
So I unplugged the TV. After connecting it again, it turned itself on again. Now I was able to turn the TV off using the TV remote.
If I turn the TV on using the TV remote, I am able to turn the TV off.
For some other reasons I have trouble turning the TV off using HomeKit, if I turned it on using the remote.
Logs:
.6.2021, 14:57:18 [PhilipsAndroidTV] [TV] TV has been turned off.                              //by TV remote
4.6.2021, 14:57:18 [PhilipsAndroidTV] [TV] TV volume has been changed to 0%.
4.6.2021, 14:57:23 [PhilipsAndroidTV] [TV] TV has been turn on.                                //I didn't do that
4.6.2021, 14:57:23 [PhilipsAndroidTV] [TV] TV volume has been changed to 28%.

Environment:

Plugin Version: 0.10.2
Homebridge Version: 1.3.3
Node.js Version: 14.17.0
NPM Version: 3.3.5
Operating System: Raspbian

10.0.3 should fix it.

Using 0.10.6. It works as expected


Instructions to set up solidity judge

I think this needs ganache, which is not part of the installation instructions.

There is a hint.
PROVIDER: An Ethereum provider like ganache-cli. Needed by SolidityJudge


[cjson] fix windows-static for don't export symbols

/* export symbols by default, this is necessary for copy pasting the C and header file */
#if !defined(CJSON_HIDE_SYMBOLS) && !defined(CJSON_IMPORT_SYMBOLS) && !defined(CJSON_EXPORT_SYMBOLS)
#define CJSON_EXPORT_SYMBOLS
#endif

All features are tested pass in x86-windows, x64-windows and x64-windows-static.

Thanks for the PR!


Add OpenRV build container

OpenRV should have its own build container

In progress in PR #207
Prep work to build Qt6 with wtwebengine and qtmultimedia and build expat as Conan package already done.


Regression bug: data inside component differs from the view

Hi,
here is one more bug (working with latest, but broken in edge):
http://jsfiddle.net/eq75y264/6/
This is another case where the model/data drifts apart from the view. What's inside the component always appear to be wrong/unchanged, even when calling update().

Looks like active is set for the component, but not reflected in template.

It looks like this is fixed in edge now. @dagnelies can you confirm?

It looks like this boils down to the same issue as most of the other outstanding observer issues: triggering a runloop from an observer where some fragments are already marked dirty in the outer runloop causes things to get skipped. I'm not really sure what the best solution to this is at this point. I don't think it will be as simple as always adding the fragments to the batch on bubble regardless of their dirty state. I have an idea to try out when I get some more time, but I'm afraid it may be too ugly.

If #2239 is correct, then the fix was a lot simpler than I thought it would be.

great, thanks


Concurrency

Abhishek/Chun,
Can one of you review the changes?
Rahul

Can you split this into two PRs? One for framework change, and one for adding new tests. As I mentioned in my comments to your last PR, let's have a discussion on the framework change.


make early-stopped appear as valid for Stable Diffusion

We marked benchmark stopped by the early-stopping (> 64 images, > 10 mins) with different color. For Stable Diffusion, which runs quite long, we want to mark as valid (no different color).

If Valid with Early Stopping ( 10 min and at least 64 samples), then visualize the output to be Valid if it is the Stable Diffusion Benchmark only the UI @anhappdev

Implemented in the PR https://github.com/mlcommons/mobile_app_open/pull/903

https://github.com/mlcommons/mobile_app_open/blob/e0efbd3c29c41684cb626d142d2568f599f10575/flutter/lib/benchmark/performance_result_validity.dart#L51-L73


Display pagination data from endpoint with IGListKit

New issue checklist

[ ] I have reviewed the README and documentation
[ ] I have searched existing issues and this is not a duplicate

General information

IGListKit version:
iOS version(s):
CocoaPods/Carthage version:
Xcode version:
Devices/Simulators affected:
Reproducible in the demo project? (Yes/No):
Related issues:

Hi, firstly thank you for great work on this library!
This is rather a question than an issue, I have to display json data that returned from an endpoint with page/max parameter support, new page data is loading as user scroll, pretty much like many feed page of social apps so I think it should be common case but I cannot figure out how to do this from the example. Can anyone help point the right direction use this greate library to work with pagination endpoint?

Sure thing @twentyseven! We do exactly this in Instagram, using a cursor for the "next page" of data, sending a request w/ that cursor, then loading the data in the feed.
Take a look at the Load More example we included. In Instagram we do something really similar where our tail-load spinner is actually a section controller. When the feed is loading, we append it, when its not, we don't include it. Notice how we check the loading state in the data source method so there's not much to track.
As far as order of operations go, I would:

Keep an immutable collection of objects: [IGListDiffable] for your feed
Track loading state in a var loading: Bool somewhere
In objects(for listAdapter:) return objects

If loading == true append an object representing your tail loader

Match objects and section controllers in your data source
Attach an object to listAdapter.scrollViewDelegate
When scrolling will end, calculate the distance from the bottom of the screen

If within a distance, trigger a "next page load" network request
Check out our example logic as a place to get started

When networking finishes:

Update your objects objects = objects + responseObjects or w/e
Call listAdapter.performUpdates(animated: true)

Hopefully that gives you some place to start?

🎉

@twentyseven - Let us know if this help! 😄

Yay, I see where to go now, thanks so much great guys!

Hello @rnystrom
You said:
"When scrolling will end, calculate the distance from the bottom of the screen
If within a distance, trigger a "next page load" network request"
Is it possible to do something to trigger that before? I mean, load more data when you are close the bottom, so the user experience would be better.
Is this related with workingRangeSize in IGListAdapter?
Thanks for suggestions.

Hey @Ricardo1980. When I talked about

When scrolling will end, calculate the distance from the bottom of the screen. If within a distance, trigger a "next page load" network request"

I mean use what we'd call a threshold and calculate when your scrollview is within that threshold before firing the request. For instance, if you're within 1 "screen" height of the bottom, fire the request. That way ideally you're never hitting the bottom as you scroll.
We don't have any mechanism built in for this yet (and working ranges are for prefetching content).
In Instagram, we do something similar to how AsyncDisplayKit tail loads (which I actually wrote 😄)

@rnystrom I have to develop an application related to Tail Loading, I love the examples from IGL. I just wanted to know how to use my model object in place of items array. My Model is Codable.! Please help.

@harishprabhakaran please open another issue with much more description and we might be able to help. Make sure you try a few things first too 😉
Sent with GitHawk


Make sure backup source list is escaped

I noticed #120 also fixes that, so if there is progress there, we can probably skip this.


Request textDocument/documentLink failed with message: c is not iterable

basic
switch editor file to *.vue, show this error
don't exists call stack info
[Error - 10:30:47] Request textDocument/documentLink failed.
  Message: Request textDocument/documentLink failed with message: c is not iterable
  Code: -32603

env
vscode
版本: 1.74.2 (user setup)
提交: e8a3071ea4344d9d48ef8a4df2c097372b0c5161
日期: 2022-12-20T10:29:14.590Z
Electron: 19.1.8
Chromium: 102.0.5005.167
Node.js: 16.14.2
V8: <IP_ADDRESS>-electron.0
OS: Windows_NT x64 10.0.22621
沙盒化: No
Vue Language Features
名称: Vue Language Features (Volar)
ID: Vue.volar
说明: Language support for Vue 3
版本: 1.0.12
发布者: Vue
VS Marketplace 链接: https://marketplace.visualstudio.com/items?itemName=Vue.volar

Please update your extension version, the latest version is v1.0.22.

update to 1.0.22 and restart vscode, this error still exists
名称: Vue Language Features (Volar)
ID: Vue.volar
说明: Language support for Vue 3
版本: 1.0.22
发布者: Vue
VS Marketplace 链接: https://marketplace.visualstudio.com/items?itemName=Vue.volar

@johnsoncodehk

What do I need to do to get more information

What do I need to do to get more information

Do you have setup vueCompilerOptions.plugins in tsconfig?

my tsconfig.json
{
    "compilerOptions": {
        "outDir": "./build",
        "target": "es6",
        "module": "es2020",
        "moduleResolution": "node",
        "strict": true,
        "jsx": "preserve",
        "importHelpers": true,
        "experimentalDecorators": true,
        "skipLibCheck": true,
        "esModuleInterop": true,
        "allowSyntheticDefaultImports": true,
        "noImplicitAny": false,
        "sourceMap": true,
        "types": [
            "webpack-env"
        ],
        "lib": [
            "esnext",
            "dom",
            "dom.iterable",
            "scripthost"
        ]
    },
    "include": [
        "src/**/*.ts",
        "src/**/*.tsx",
        "src/**/*.vue",
        "tests/**/*.ts",
        "tests/**/*.tsx"
    ],
    "exclude": [
        "node_modules"
    ],
    "vueCompilerOptions": {
        "target": 2,
        "extensions": [
            ".vue"
        ],
    }
}

Since the release version is minify, I can't know what variable c is. I pack this non-minify version, can you try it and tell me the error message again?
volar-1.0.22-6168c509.vsix.zip

[Error - 19:26:26] Request textDocument/documentLink failed.
  Message: Request textDocument/documentLink failed with message: failedLookupLocations is not iterable
  Code: -32603
[Error - 19:26:26] Request textDocument/documentLink failed.
  Message: Request textDocument/documentLink failed with message: failedLookupLocations is not iterable
  Code: -32603
[Error - 19:26:36] Request textDocument/documentLink failed.
  Message: Request textDocument/documentLink failed with message: failedLookupLocations is not iterable
  Code: -32603

What's your project typescript version? (You can see it at status bar)

Sorry, network failure. Just recovered

tsc --version
Version 4.9.3

project package.json devDependencies
"typescript": "~3.9.3",
node_modules/typescript/package.json
"version": "3.9.10",

Can you try this version and still have problems?
volar-1.0.22-8e28d05b.vsix.zip

it's right, not create message window, only print a log
thanks
[volar] failedLookupLocations not exists, ts: 5.0.0-dev.20221209
[volar] failedLookupLocations not exists, ts: 5.0.0-dev.20221209
[volar] failedLookupLocations not exists, ts: 5.0.0-dev.20221209
[volar] failedLookupLocations not exists, ts: 5.0.0-dev.20221209
[volar] failedLookupLocations not exists, ts: 5.0.0-dev.20221209
[volar] failedLookupLocations not exists, ts: 5.0.0-dev.20221209


Touch Screen on mobiles not working?

Hi Sergei,
I noticed that on your demo page, the slider is unresponsive on mobile.
Even with the options set to:
startEvent: ['mousedown', 'touchstart', 'pointerdown'],
moveEvent: ['mousemove', 'touchmove', 'pointermove'],
endEvent: ['mouseup', 'touchend', 'pointerup'],
Any ideas to rectify this?
Thanks
Denzil

No ideas, everything works fine on Nexus 5 and Chrome (with touch device emulation). Could you tell which device and browser have such issue, please?
Thanks

Hi Sergei,
Thanks for the reply, it allowed me to investigated this issue further.
It seems that libraries such as 'Swiftclick.js & FastClick.js' was conflicting with the touch enabled feature on mobile phones.
Once these were refactored or removed on the specific page the touch feature worked fine.
Thanks

Would you mind if I close this issue?


[W6.5][T11-B4]Prian Kuhanandan

@pkuhanan Accepting this PR with minimal review and I found no important issue.


Re-link training material to s4f's own YouTube channel.

@philipcardiff in case you missed notifications from this, I think it's ready to merge.

Great, thanks! I will merge now.


services/horizon: Update Docker Compose flow to work with latest stable Stellar-Core

What
Updates the Docker-Compose YAML files to be compatible with the latest version of Stellar-Core.
Why
Running Core+Horizon via the compose workflow will cause issues:

the core container will fail because force scp is deprecated
the upgrade container will use P15 which is outdated
stellar/stellar-core:latest defines an ENTRYPOINT which is incompatible with the compose command

Known limitations
#3764 still applies.

Upon further investigation, this is just one of a handful of issues facing the current Docker Compose situation. I think we need a deeper look & refactor into this (especially considering that we don't recommend running standalone Watcher Core yet... do exactly that here) than this mild adjustment.

Reopened @ #3774 now that #3773 is in.


Upgrade to React 18

ALICE is using React 16, but the latest version is React 18. Upgrading will involve:

Conversion of unit tests from enzyme --> RTL https://github.com/zooniverse/alice/issues/422
Handling a Storybook upgrade alongside React dependency bump and unit test conversion https://github.com/zooniverse/alice/issues/871
Consideration for how to eject react-scripts from the app https://github.com/zooniverse/alice/issues/637
Refactoring defaultProps in favor of default params https://github.com/zooniverse/alice/issues/874
Change import React from 'react’ which could be refactored to import the hooks individually

Change import React from 'react’ which could be refactored to import the hooks individually

There's a codemod for this, which I've used previously to remove the React global from packages in the Zooniverse front-end monorepo.


[Bug] Unsupported locale settings

I installed roadmapper via pip and used some example code from the wiki to try out this package. However, I was blocked by the locale settings. When I try to run the script which uses roadmapper, I get the following error.
Traceback (most recent call last):
  File "/home/felixs/GitHub/declarative-planning/roadmapper/roadmap.py", line 7, in <module>
    roadmap.set_timeline(TimelineMode.MONTHLY, "2023-03-15", 8, timeline_locale="en_US")
  File "/home/felixs/GitHub/declarative-planning/roadmapper/env/lib/python3.10/site-packages/roadmapper/roadmap.py", line 305, in set_timeline
    self.timeline.set_draw_position(self.__painter)
  File "/home/felixs/GitHub/declarative-planning/roadmapper/env/lib/python3.10/site-packages/roadmapper/timeline.py", line 143, in set_draw_position
    self.set_locale(self.locale_name)
  File "/home/felixs/GitHub/declarative-planning/roadmapper/env/lib/python3.10/site-packages/roadmapper/timeline.py", line 108, in set_locale
    self.locale_settings = TimelineLocale(locale)
  File "/home/felixs/GitHub/declarative-planning/roadmapper/env/lib/python3.10/site-packages/roadmapper/timelinelocale.py", line 84, in __init__
    locale.setlocale(locale.LC_ALL, locale_name)
  File "/usr/lib/python3.10/locale.py", line 620, in setlocale
    return _setlocale(category, locale)
locale.Error: unsupported locale setting

If I print my locale settings in Python, I get the following settings: ('en_GB', 'UTF-8'). This equals to en_GB.utf8 on my system. roadmapper somehow requires en_US (without utf8). I managed to work around this issue by trying to set the locale settings in a Docker container manually to en_US (without utf8). I selected this setting from a very long list when I ran sudo dpkg-reconfigure locales.
It would be very nice to decouple roadmapper from the locale settings.
FYI: My OS is Ubuntu 22.04 and I performed the mentioned installation steps.
Edit: My Python version is 3.10.6.

Hi, you do not have to enter 'en_US' as a locale. If you are using 'en_GB', you can create a json file containing custom timeline settings. See this code example here: https://github.com/csgoh/roadmapper/wiki/Traditional-Chinese-Roadmap-Code
The code sample shows how to change language, font and locale.

Some additional how-to guide can be found here: https://github.com/csgoh/roadmapper/wiki/How-To#how-to-change-the-timeline-display-format

As my local locale is set to en_GB.utf8, I have to specify this exact locale in the JSON file for changing the timeline. This, indeed, works. However, I also have to specify the settings like year and so on. Otherwise, I will get the following error.
Traceback (most recent call last):
  File "/home/felixs/GitHub/declarative-planning/roadmapper/roadmap.py", line 11, in <module>
    roadmap.set_timeline(TimelineMode.MONTHLY, "2023-03-15", 8, timeline_locale="en_GB.json")
  File "/home/felixs/GitHub/declarative-planning/roadmapper/env/lib/python3.10/site-packages/roadmapper/roadmap.py", line 305, in set_timeline
    self.timeline.set_draw_position(self.__painter)
  File "/home/felixs/GitHub/declarative-planning/roadmapper/env/lib/python3.10/site-packages/roadmapper/timeline.py", line 143, in set_draw_position
    self.set_locale(self.locale_name)
  File "/home/felixs/GitHub/declarative-planning/roadmapper/env/lib/python3.10/site-packages/roadmapper/timeline.py", line 112, in set_locale
    ) = self.locale_settings.get_timeline_locale_settings("year")
  File "/home/felixs/GitHub/declarative-planning/roadmapper/env/lib/python3.10/site-packages/roadmapper/timelinelocale.py", line 100, in get_timeline_locale_settings
    locale_settings = value["settings"]
KeyError: 'settings'

As an easier workaround, it would be nice to specify the locale directly to avoid repeating the boilerplate settings like year, month. I.e. something like roadmap.set_timeline(TimelineMode.MONTHLY, "2023-03-15", 8, timeline_locale="en_GB"). This, however, might require a long list of many locales.
As a user, I definitely do not want to deal with these weird locale settings if I just want to create a roadmap which does not require any specific locale settings like language or special characters. Would it be possible to allow specifying locale settings without requiring them?
Think of a Danish person needing to create a roadmap for a multinational company in English...

Hi, I see your point. I will de-couple the locale from the timeline formatting in the next minor release. It should not take long.

This issue should be resolved in v1.1.1. I have removed the dependency of 'en_US'.

I tested it on my simple example and it now works like a charm.


Navigation Bar Issues

Hi.
I have created a navigation bar that I want to add to an html page.
See: https://codepen.io/anon/pen/NprrMY
However when using with the Milligram CSS the menu hover's stop working for the submenus.
https://codepen.io/anon/pen/ryLMWO

milligram has margins for ul and li:s, you have to reset those with
margin: 0;

to make it work with your menu css
https://codepen.io/anon/pen/ryXVyq
#cssmenu,
#cssmenu ul,
#cssmenu ul li,
#cssmenu ul li a,
#cssmenu #head-mobile {
  border: 0;
  list-style: none;
  line-height: 1;
  display: block;
  position: relative;
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
  text-transform: uppercase;
  margin: 0;
}

@warrenkc Check the above solution and close the issue if its working.

Wow. Nice.


Still having issue with hardened runtime

Platform:
MacOs Mojave 10.14.5
Architecture:
I loaded the newest JDK 11.0.4 +11.4 in hope to finally get my notarization issues resolved.
(also tested with +11.2 and found the same)
Signing the files:
find ${JDK_DIR} -type f -exec codesign --deep --force --timestamp --options runtime --strict --entitlements "${ENTITLEMENTS_DIR}" --sign "${CERT_DEV_ID_APPLICATION}" '{}' \;
I also checked the installed App, the entitlements are there.
codesign --display --entitlements :- MyApp.App
But still when I try to run the Application it fails with
Error occurred during initialization of VM Could not reserve enough space in CodeHeap 'non-nmethods' (2496K)
I also checked entitlements directly on bin/java, also entitlements are successfully attached.
Entitlements file:
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
    <dict>
        <key>com.apple.security.cs.allow-jit</key>
        <true/>
        <key>com.apple.security.cs.allow-unsigned-executable-memory</key>
        <true/>
        <key>com.apple.security.cs.disable-executable-page-protection</key>
        <true/>
        <key>com.apple.security.cs.disable-library-validation</key>
        <true/>
        <key>com.apple.security.cs.allow-dyld-environment-variables</key>
        <true/>
    </dict>
</plist>

Notarization / signing so tagging the main issue for this: https://github.com/AdoptOpenJDK/openjdk-build/issues/1130

@MoxxiManagarm can you verify whether the latest nightly JDK11 builds resolve this please?
https://adoptopenjdk.net/nightly.html?variant=openjdk11

@sxa555 Ok I will try

@sxa555 At least the application is starting now with hardened runtime enabled, the heapspace error does not occure. The functionality will now be tested. Is there any timeline at which time the features of the nightly build will be released?

I'll close this on the basis that it is successfully working in the nightlies. I would hope we'll get it working by the next quarterly release, but I'm not the person working on getting it working so I can't say more than that - as mentioned before #1130 is the place for discussion on it going forwards :-)


Example: make nr logo link open in same tab

Summary
Quick implementation for opening the top left brand logo link in the same tab, while keeping current instrumentation.

Closing in favor of #75


feat: add prettify option to release command

Adds a --prettify option to the release command. When the flag is used, updated package.json files are formatted with Prettier to match the nx workspace's Prettier/.editorconfig config.  This super helpful so that the release command is used, additional file modifications aren't made.
Not sure if making Prettier an optional dependency is the right call. I can see the argument that could be confusing, but could also see it being nice to not make those using nxpm-cli install Prettier if their repo doesn't use it.
Love the tool! The release command is gonna save us so much time.

Hi @gibsonjoshua55 , thanks for your interest in the project and for the PR.
One of the goals was to keep this tool as simple as possible, and I think running changed files through prettier can better be done outside of the tool.
As an example you take a look at how my nxpm-stack apps do this:
https://github.com/nxpm/stack-v4200/blob/main/package.json#L160
The benefit of that approach is that individual commands don't need to manually prettify things, it will automatically get done on commit.
Let me know if this works for you or if I missed something.

Yeah, I think that's fair.  With prettier being installed by default in most NX schematics I was thinking it wouldn't be all that prescriptive to do it in the tool, but you're probably right that it can just as easily be done outside of the cli.
I'll have to look more into the lint-staged tool.  I've used husky before, but that looks like it solves exactly what I'm looking for. Thanks again for the awesome cli and for the feedback.

Awesome, good luck @gibsonjoshua55!
I'd also like to point you at this library https://github.com/jscutlery/semver
It seems to do what nxpm release does, but supports things like change log. I need to give it a try but if it works well I might at some point decide to sunset the release option in favor of the library above.
Curious to hear what your thoughts are!


chore(main): release 2.0.19

:robot: I have created a release beep boop
2.0.19 (2024-06-16)
Bug Fixes

deps: update capacitor monorepo to v6.1.0 (#430) (b870c78)
deps: update dependency @capacitor/preferences to v6.0.1 (#440) (a5bea75)
deps: update dependency @ionic/vue to v8.2.2 (#438) (fd1dfd0)
deps: update dependency @ionic/vue-router to v8.2.2 (#439) (8f92c60)
deps: update dependency @vitejs/plugin-vue to v5 (#421) (1077916)
deps: update dependency nuxt to v3.12.1 (#428) (866dd1b)
deps: update dependency vike to v0.4.175 (#426) (865a089)
deps: update dependency vike to v0.4.176 (#434) (97495a8)
deps: update dependency vite to v5 (#422) (e202363)
deps: update dependency vue-router to v4.3.3 (#425) (e95e032)
deps: update vue monorepo to v3.4.28 (#442) (60b18d1)
deps: update vue monorepo to v3.4.29 (#443) (29892e5)

This PR was generated with Release Please. See documentation.

:robot: Created releases:

v2.0.19
:sunflower:


Enhance subset selection capabilities of map GUI view components

Just discovered Folium. It'll probably make it waaay easier to handle these map views in django by taking a lot of the work server side instead of client side.


Breaking change in v0.2.1

When Updating dependency to v0.2.1 the example provided in README does not work anymore:
pkce.NewCodeVerifier() should be changed to pkce.NewCodeVerifier(-1) to make it work with default length.
Cause is this commit from two years ago which did not make it into a release yet: https://github.com/grokify/go-pkce/commit/7464f5748d2a9cb4bce1a7eb0e80c1defdc64bad

Thanks for the issue!


Migration guide from vault access policy to RBAC has hanging sentence

In the above screenshot there is a line that ends with

only at Key Vault resource level, which

The next line is blank and the line after that starts with a capitalized word In so it does not seem like it is the continuation of the earlier sentence.
Is this how the documentation is supposed to read?

Document Details
⚠ Do not edit this section. It is required for docs.microsoft.com ➟ GitHub issue linking.

ID: 9fe2188c-d08d-be91-bf80-9665cac23596
Version Independent ID: e0cf82de-bdf5-97a4-f9e0-f40e8c12b064
Content: Migrate to Azure role-based access control
Content Source: articles/key-vault/general/rbac-migration.md
Service: key-vault
Sub-service: general
GitHub Login: @msmbaldwin
Microsoft Alias: mbaldwin

@bhaugen-abledocs
Thanks for your feedback! We will investigate and update as appropriate.

@bhaugen-abledocs
Thank you for pointing this out! I've created a PR to update the documentation and it's currently waiting for the author to review and sign off.
I will now close out this issue. Please allow some time for the author to review and the changes to reflect.
Thank you for your time and patience!


Expose API to show DS Data Viewer component from external extension

For #12033

[x] Pull request represents a single change (i.e. not fixing disparate/unrelated things in a single PR).
[x] Title summarizes what is changing.
[x] ~Has a news entry file (remember to thank yourself!).~
[x] Appropriate comments and documentation strings in the code.
[x] Has sufficient logging.
[x] ~Has telemetry for enhancements.~
[x] ~Unit tests & system/integration tests are added/updated.~
[x] ~Test plan is updated as appropriate.~
[x] ~package-lock.json has been regenerated by running npm install (if dependencies have changed).~
[x] ~The wiki is updated with any design decisions/details.~

@karthiknadig This is Sergio from our team, so removing external contributor tag. Wasn't sure if you recognized his github name.

@sevillal I added the External Contributor on this by mistake.

@rchiodo I don't have write permission in this repo and I am unable to merge (or edit the PR).
I have asked for permission earlier today and waiting for it to be granted in order to merge :).

No problem. Merged :)


OrderedMerge missing unit tests

OrderedMerge is completely missing unit tests.

I'd like to take this.

@c9952594 Thanks for stepping forward and offering to help with this. Looking forward to your PR.

@atifaziz  While adding tests I think I may have found a bug. The code below shows the current behaviour.
I would expect that first and second would be ordered before the merge is performed, see the lines under OrderedMerge.cs below.
Is the current behaviour correct? If not then I can fix this at the same time.
OrderedMergeTest.cs
[Test]
public void ShowHowItWorks()
{
    var pickedPreferentially = new Version("1.0");
    var first = new[] { pickedPreferentially, new Version("3.0"), new Version("2.0"), new Version("5.0") };

    var discardedPreferentially = new Version("1.0");
    var second = new[] { discardedPreferentially, new Version("4.0"), new Version("3.0"), new Version("2.0") };

    var merged = first.OrderedMerge(second).ToArray();

    var expected = new[] {
        new Version("1.0"),                     // Compare (First)1 and (Second)1
        new Version("3.0"), new Version("2.0"), // Take (First)3 and (First)2 because less than (Second)4
        new Version("4.0"), new Version("5.0"), // Compare (First)5 and (Second)4
        new Version("3.0"), new Version("2.0")  // Take remaining (Second)3 and (Second)2
    };

    Assert.That(merged, Is.EquivalentTo(expected));
    Assert.That(merged.First(), Is.SameAs(pickedPreferentially));

    //var shouldBe = new[] { new Version("1.0"), new Version("2.0"), new Version("3.0"), new Version("4.0"), new Version("5.0") };
    //Assert.That(merged, Is.EquivalentTo(shouldBe));
    //Assert.That(merged.First(), Is.SameAs(pickedPreferentially));
}

OrderedMerge.cs
289: using (var e1 = first.OrderBy(firstKeySelector).GetEnumerator())
290: using (var e2 = second.OrderBy(secondKeySelector).GetEnumerator())

I think I may have found a bug.

Generally, it's best to open a separate issue for that, even if you're looking for confirmation that it's potentially a bug.

If not then I can fix this at the same time.

Again, this would be best done as a separate PR. I wouldn't fix it at the same time.
That all said, the documentation says:

Merges two ordered sequences into one. Where the elements equal in both sequences, the element from the first sequence is returned in the resulting sequence.

The key here is ordered sequences. first and second from your example are not ordered so the behaviour is undefined.


fix: Add mix blend mode to canvas

Argus Stack Details

Name
rainandbare-add-mix-blend-mode

Short Name
evolving-hippo

Base URL
https://evolving-hippo.dev-sc.dev.czi.team

Fixes Issue #1040

Add mix-blend-mode to canvas element in order to view under lying image better

Before:

After:

Re-running smoke tests even though it passed the last time, because the UI Tests seem to be showing non-blend screenshots for whatever reason. But also confirmed that https://evolving-hippo.dev-sc.dev.czi.team/d/super-cool-spatial.cxg/?spatial=true does show the blend mode correctly!

Hmm rerunning the smoke test didn't update the screenshots, so I'll look into it as a separate ticket!
Will save this PR for @rainandbare to merge as a celebration 🎉 !! Fantastic work 👏 👏 👏

I think I might know why the visual testing is not picking up the blend mode change!
So Chromatic currently isn't capable of capturing canvas content at the moment, so in our app, we have a feature flag to manually generate an image of the canvas content, which likely does NOT take the css rules into account. As a result, since blend mode is part of the css rules, the manually generated image doesn't reflect that
So I'll create a ticket to see if there's a way we can generate the image and take the CSS rules into account!


custom header

Example:
selenium.start("addCustomRequestHeaders=true");
selenium.addCustomRequestHeader("HEADER_NAME", "HEADER_VALUE");

How to do it ?

Hi, the addCustomRequestHeaders capability was part of obsolete Selenium RC and is not part of Selenium WebDriver. There is long-standing policy of Selenium project to not manipulate the HTTP protocol itself by Selenium - only focus on emulating user actions. So if you really need this, you must take another approach, like BrowserMob proxy, browser extension etc. See eg. https://github.com/seleniumhq/selenium-google-code-issue-archive/issues/2047


PDE notebooks need to be rerun or re-linked

What I've noticed is that most (I didn't check all of them) PDE notebooks need to be rerun: all cells just display error messages.
E.g.:
http://benchmarks.juliadiffeq.org/html/MOLPDE/allen_cahn_spectral_wpd.html
http://benchmarks.juliadiffeq.org/html/MOLPDE/kdv_spectral_wpd.html

oh haha, yes ApproxFun needs to be added to the Project.toml

These are being re-run on the server right after the next run of Filament.

These are gone, now we just have the website.