那些遇到过的问题

ruamel_yaml.constructor.ConstructorError：无法确定“<unicode string>”中标签“tag:yaml.org,2002:python/tuple”的构造函数

Mon*_*lal 8 python yaml conda ruamel.yaml

我正在尝试下载 Kinetics-600 数据集进行活动识别，为此我遵循此存储库中的说明：https://github.com/activitynet/ActivityNet

但是，在这一步conda env create -f environment.yml我收到此错误：

ruamel_yaml.constructor.ConstructorError：无法确定“”第 2 行第 11 列中标签“tag:yaml.org,2002:python/tuple”的构造函数：通道：!!python/tuple

我应该如何修复这个错误？

错误的完整报告是：

(base) /mnt/disks/mona/ActivityNet/Crawler/Kinetics$ conda env create -f environment.yml

# >>>>>>>>>>>>>>>>>>>>>> ERROR REPORT <<<<<<<<<<<<<<<<<<<<<<

    Traceback (most recent call last):
      File "/opt/conda/lib/python3.7/site-packages/conda/exceptions.py", line 1079, in __call__
        return func(*args, **kwargs)
      File "/opt/conda/lib/python3.7/site-packages/conda_env/cli/main.py", line 80, in do_call
        exit_code = getattr(module, func_name)(args, parser)
      File "/opt/conda/lib/python3.7/site-packages/conda_env/cli/main_create.py", line 87, in execute
        spec = specs.detect(name=name, filename=filename, directory=os.getcwd())
      File "/opt/conda/lib/python3.7/site-packages/conda_env/specs/__init__.py", line 43, in detect
        if spec.can_handle():
      File "/opt/conda/lib/python3.7/site-packages/conda_env/specs/yaml_file.py", line 18, in can_handle
        self._environment = env.from_file(self.filename)
      File "/opt/conda/lib/python3.7/site-packages/conda_env/env.py", line 160, in from_file
        return from_yaml(yamlstr, filename=filename)
      File "/opt/conda/lib/python3.7/site-packages/conda_env/env.py", line 141, in from_yaml
        data = yaml_safe_load(yamlstr)
      File "/opt/conda/lib/python3.7/site-packages/conda/common/serialize.py", line 67, in yaml_safe_load
        return yaml.safe_load(string, version="1.2")
      File "/opt/conda/lib/python3.7/site-packages/ruamel_yaml/main.py", line 980, in safe_load
        return load(stream, SafeLoader, version)
      File "/opt/conda/lib/python3.7/site-packages/ruamel_yaml/main.py", line 935, in load
        return loader._constructor.get_single_data()
      File "/opt/conda/lib/python3.7/site-packages/ruamel_yaml/constructor.py", line 108, in get_single_data
        return self.construct_document(node)
      File "/opt/conda/lib/python3.7/site-packages/ruamel_yaml/constructor.py", line 118, in construct_document
        for _dummy in generator:
      File "/opt/conda/lib/python3.7/site-packages/ruamel_yaml/constructor.py", line 691, in construct_yaml_map
        value = self.construct_mapping(node)
      File "/opt/conda/lib/python3.7/site-packages/ruamel_yaml/constructor.py", line 418, in construct_mapping
        return BaseConstructor.construct_mapping(self, node, deep=deep)
      File "/opt/conda/lib/python3.7/site-packages/ruamel_yaml/constructor.py", line 242, in construct_mapping
        value = self.construct_object(value_node, deep=deep)
      File "/opt/conda/lib/python3.7/site-packages/ruamel_yaml/constructor.py", line 164, in construct_object
        data = constructor(self, node)
      File "/opt/conda/lib/python3.7/site-packages/ruamel_yaml/constructor.py", line 711, in construct_undefined
        node.start_mark,
    ruamel_yaml.constructor.ConstructorError: could not determine a constructor for the tag 'tag:yaml.org,2002:python/tuple'
      in "<unicode string>", line 2, column 11:
        channels: !!python/tuple
                  ^ (line: 2)

`$ /opt/conda/bin/conda-env create -f environment.yml`

  environment variables:
            BINARIES_PATH=/opt/deeplearning/binaries
                 CIO_TEST=<not set>
  CONDA_AUTO_UPDATE_CONDA=false
        CONDA_DEFAULT_ENV=base
                CONDA_EXE=/opt/conda/bin/conda
CONDA_MKL_INTERFACE_LAYER_BACKUP=
             CONDA_PREFIX=/opt/conda
    CONDA_PROMPT_MODIFIER=(base)
         CONDA_PYTHON_EXE=/opt/conda/bin/python
               CONDA_ROOT=/opt/conda
              CONDA_SHLVL=1
           CURL_CA_BUNDLE=<not set>
              DL_BIN_PATH=/opt/deeplearning/bin
         DL_METADATA_PATH=/opt/deeplearning/metadata
                  DL_PATH=/opt/deeplearning
        ENV_URI_FILE_PATH=/opt/deeplearning/metadata/env_uri
    ENV_VERSION_FILE_PATH=/opt/deeplearning/metadata/env_version
      FRAMEWORK_FILE_PATH=/opt/deeplearning/metadata/framework
                 INFOPATH=/home/linuxbrew/.linuxbrew/share/info:
        JUPYTER_DEPS_PATH=/opt/deeplearning/jupyter
          LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/nccl2/lib:/usr/local/cuda/extras/CUPT
                          I/lib64
                  MANPATH=/home/linuxbrew/.linuxbrew/share/man:
                     PATH=/opt/conda/bin:/home/linuxbrew/.linuxbrew/bin:/home/linuxbrew/.linuxbr
                          ew/sbin:/usr/local/cuda/bin:/opt/conda/bin:/opt/conda/condabin:/usr/lo
                          cal/bin:/usr/bin:/bin:/usr/local/games:/usr/games
               PYTHONPATH=/mnt/disks/mona/SlowFast/slowfast:
       REQUESTS_CA_BUNDLE=<not set>
RESTRICTION_TYPE_FILE_PATH=/opt/deeplearning/restriction
                 SRC_PATH=/opt/deeplearning/src
            SSL_CERT_FILE=<not set>
          TITLE_FILE_PATH=/opt/deeplearning/metadata/title
           TUTORIALS_PATH=/opt/deeplearning/workspace/tutorials
        VERSION_FILE_PATH=/opt/deeplearning/metadata/version
           WORKSPACE_PATH=/opt/deeplearning/workspace

     active environment : base
    active env location : /opt/conda
            shell level : 1
       user config file : /home/mona/.condarc
 populated config files : /opt/conda/.condarc
          conda version : 4.9.2
    conda-build version : not installed
         python version : 3.7.8.final.0
       virtual packages : __cuda=11.0=0
                          __glibc=2.28=0
                          __unix=0=0
                          __archspec=1=x86_64
       base environment : /opt/conda  (writable)
           channel URLs : https://conda.anaconda.org/conda-forge/linux-64
                          https://conda.anaconda.org/conda-forge/noarch
                          https://repo.anaconda.com/pkgs/main/linux-64
                          https://repo.anaconda.com/pkgs/main/noarch
                          https://repo.anaconda.com/pkgs/r/linux-64
                          https://repo.anaconda.com/pkgs/r/noarch
          package cache : /opt/conda/pkgs
                          /home/mona/.conda/pkgs
       envs directories : /opt/conda/envs
                          /home/mona/.conda/envs
               platform : linux-64
             user-agent : conda/4.9.2 requests/2.24.0 CPython/3.7.8 Linux/4.19.0-13-cloud-amd64 debian/10 glibc/2.28
                UID:GID : 1016:1017
             netrc file : None
           offline mode : False


An unexpected error has occurred. Conda has prepared the above report.

If submitted, this report will be used by core maintainers to improve
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[y/N]: y
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by running

    $ conda config --set report_errors true


$ conda config --set report_errors true

$ conda env create -f environment.yml

# >>>>>>>>>>>>>>>>>>>>>> ERROR REPORT <<<<<<<<<<<<<<<<<<<<<<

    Traceback (most recent call last):
      File "/opt/conda/lib/python3.7/site-packages/conda/exceptions.py", line 1079, in __call__
        return func(*args, **kwargs)
      File "/opt/conda/lib/python3.7/site-packages/conda_env/cli/main.py", line 80, in do_call
        exit_code = getattr(module, func_name)(args, parser)
      File "/opt/conda/lib/python3.7/site-packages/conda_env/cli/main_create.py", line 87, in execute
        spec = specs.detect(name=name, filename=filename, directory=os.getcwd())
      File "/opt/conda/lib/python3.7/site-packages/conda_env/specs/__init__.py", line 43, in detect
        if spec.can_handle():
      File "/opt/conda/lib/python3.7/site-packages/conda_env/specs/yaml_file.py", line 18, in can_handle
        self._environment = env.from_file(self.filename)
      File "/opt/conda/lib/python3.7/site-packages/conda_env/env.py", line 160, in from_file
        return from_yaml(yamlstr, filename=filename)
      File "/opt/conda/lib/python3.7/site-packages/conda_env/env.py", line 141, in from_yaml
        data = yaml_safe_load(yamlstr)
      File "/opt/conda/lib/python3.7/site-packages/conda/common/serialize.py", line 67, in yaml_safe_load
        return yaml.safe_load(string, version="1.2")
      File "/opt/conda/lib/python3.7/site-packages/ruamel_yaml/main.py", line 980, in safe_load
        return load(stream, SafeLoader, version)
      File "/opt/conda/lib/python3.7/site-packages/ruamel_yaml/main.py", line 935, in load
        return loader._constructor.get_single_data()
      File "/opt/conda/lib/python3.7/site-packages/ruamel_yaml/constructor.py", line 108, in get_single_data
        return self.construct_document(node)
      File "/opt/conda/lib/python3.7/site-packages/ruamel_yaml/constructor.py", line 118, in construct_document
        for _dummy in generator:
      File "/opt/conda/lib/python3.7/site-packages/ruamel_yaml/constructor.py", line 691, in construct_yaml_map
        value = self.construct_mapping(node)
      File "/opt/conda/lib/python3.7/site-packages/ruamel_yaml/constructor.py", line 418, in construct_mapping
        return BaseConstructor.construct_mapping(self, node, deep=deep)
      File "/opt/conda/lib/python3.7/site-packages/ruamel_yaml/constructor.py", line 242, in construct_mapping
        value = self.construct_object(value_node, deep=deep)
      File "/opt/conda/lib/python3.7/site-packages/ruamel_yaml/constructor.py", line 164, in construct_object
        data = constructor(self, node)
      File "/opt/conda/lib/python3.7/site-packages/ruamel_yaml/constructor.py", line 711, in construct_undefined
        node.start_mark,
    ruamel_yaml.constructor.ConstructorError: could not determine a constructor for the tag 'tag:yaml.org,2002:python/tuple'
      in "<unicode string>", line 2, column 11:
        channels: !!python/tuple
                  ^ (line: 2)

`$ /opt/conda/bin/conda-env create -f environment.yml`

  environment variables:
            BINARIES_PATH=/opt/deeplearning/binaries
                 CIO_TEST=<not set>
  CONDA_AUTO_UPDATE_CONDA=false
        CONDA_DEFAULT_ENV=base
                CONDA_EXE=/opt/conda/bin/conda
CONDA_MKL_INTERFACE_LAYER_BACKUP=
             CONDA_PREFIX=/opt/conda
    CONDA_PROMPT_MODIFIER=(base)
         CONDA_PYTHON_EXE=/opt/conda/bin/python
               CONDA_ROOT=/opt/conda
              CONDA_SHLVL=1
           CURL_CA_BUNDLE=<not set>
              DL_BIN_PATH=/opt/deeplearning/bin
         DL_METADATA_PATH=/opt/deeplearning/metadata
                  DL_PATH=/opt/deeplearning
        ENV_URI_FILE_PATH=/opt/deeplearning/metadata/env_uri
    ENV_VERSION_FILE_PATH=/opt/deeplearning/metadata/env_version
      FRAMEWORK_FILE_PATH=/opt/deeplearning/metadata/framework
                 INFOPATH=/home/linuxbrew/.linuxbrew/share/info:
        JUPYTER_DEPS_PATH=/opt/deeplearning/jupyter
          LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/nccl2/lib:/usr/local/cuda/extras/CUPT
                          I/lib64
                  MANPATH=/home/linuxbrew/.linuxbrew/share/man:
                     PATH=/opt/conda/bin:/home/linuxbrew/.linuxbrew/bin:/home/linuxbrew/.linuxbr
                          ew/sbin:/usr/local/cuda/bin:/opt/conda/bin:/opt/conda/condabin:/usr/lo
                          cal/bin:/usr/bin:/bin:/usr/local/games:/usr/games
               PYTHONPATH=/mnt/disks/mona/SlowFast/slowfast:
       REQUESTS_CA_BUNDLE=<not set>
RESTRICTION_TYPE_FILE_PATH=/opt/deeplearning/restriction
                 SRC_PATH=/opt/deeplearning/src
            SSL_CERT_FILE=<not set>
          TITLE_FILE_PATH=/opt/deeplearning/metadata/title
           TUTORIALS_PATH=/opt/deeplearning/workspace/tutorials
        VERSION_FILE_PATH=/opt/deeplearning/metadata/version
           WORKSPACE_PATH=/opt/deeplearning/workspace

     active environment : base
    active env location : /opt/conda
            shell level : 1
       user config file : /home/mona/.condarc
 populated config files : /opt/conda/.condarc
                          /home/mona/.condarc
          conda version : 4.9.2
    conda-build version : not installed
         python version : 3.7.8.final.0
       virtual packages : __cuda=11.0=0
                          __glibc=2.28=0
                          __unix=0=0
                          __archspec=1=x86_64
       base environment : /opt/conda  (writable)
           channel URLs : https://conda.anaconda.org/conda-forge/linux-64
                          https://conda.anaconda.org/conda-forge/noarch
                          https://repo.anaconda.com/pkgs/main/linux-64
                          https://repo.anaconda.com/pkgs/main/noarch
                          https://repo.anaconda.com/pkgs/r/linux-64
                          https://repo.anaconda.com/pkgs/r/noarch
          package cache : /opt/conda/pkgs
                          /home/mona/.conda/pkgs
       envs directories : /opt/conda/envs
                          /home/mona/.conda/envs
               platform : linux-64
             user-agent : conda/4.9.2 requests/2.24.0 CPython/3.7.8 Linux/4.19.0-13-cloud-amd64 debian/10 glibc/2.28
                UID:GID : 1016:1017
             netrc file : None
           offline mode : False


An unexpected error has occurred. Conda has prepared the above report.

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这是environment.yml我用来创建 conda 环境的存储库中的文件：

name: kinetics
channels: !!python/tuple
- !!python/unicode
  'defaults'
dependencies:
- joblib=0.9.4=py27_0
- menpo::ffmpeg=3.1.3=0
- mkl=2017.0.1=0
- numpy=1.12.1=py27_0
- openssl=1.0.2k=1
- pandas=0.19.2=np112py27_1
- pip=9.0.1=py27_1
- python=2.7.13=0
- python-dateutil=2.6.0=py27_0
- pytz=2017.2=py27_0
- readline=6.2=2
- setuptools=27.2.0=py27_0
- six=1.10.0=py27_0
- sqlite=3.13.0=0
- tk=8.5.18=0
- wheel=0.29.0=py27_0
- zlib=1.2.8=3
- pip:
  - decorator==4.0.11
  - olefile==0.44
  - youtube-dl==2017.6.5
prefix: /home/cabaf/.conda/envs/kinetics
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fly*_*lyx 4

It seems that the environment.yml was written at a time when conda used yaml.load but it has since switched to yaml.safe_load:

\n
\n

1.1.1 (2019-03-22)

\n

Remove yaml load warnings by using yaml.safe_load instead of yaml.load.\nFix NoneType object is not iterable error when includes is empty.

\n
\n

You can try to remove !!python/tuple (and also !!python/unicode, that doesn\'t do anything) from the environment.yml however it is unclear why it is there in the first place, it may give you another error.

\n

What !!python/tuple does it that it instructs YAML to load the following sequence not as list, but as tuple. One reason why one would do that is when the loaded value will be used in a hashed data structure (dict or set), since tuples are hashable while lists aren\'t. However that is usually done when the value is already used an a mapping within the YAML file, which is not the case here.

\n

出现错误的原因是因为yaml.safe_load使用了安全加载程序，它不会像旧的 \xe2\x80\x9edangerous\xe2\x80\x9c 加载程序那样调用任意构造函数（因为这是一个安全问题）。因此，您不能用它加载元组。

\n

  • 此外，由于 YAML 已有 4 年历史，他们需要添加 **free** 通道（在 **defaults** 之后）。 (2认同)

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