目标：安装并运行带有MLEM代码的Python脚本。
遵循库文档中的此安装指南；CCD_ 1就足够了。
代码：
from mlem.api import import_object
# ...
追溯：
$ python3 app/deployment-poc/mlem.py
Traceback (most recent call last):
File "/home/me/BitBucket/project/app/deployment-poc/mlem.py", line 1, in <module>
from mlem.api import import_object
File "/home/me/BitBucket/project/app/deployment-poc/mlem.py", line 1, in <module>
from mlem.api import import_object
ModuleNotFoundError: No module named 'mlem.api'; 'mlem' is not a package
我已经通过pip和conda安装了这两个。
$ which mlem
/home/me/miniconda3/envs/venv/bin/mlem
$ mlem --version
MLEM Version: 0.4.1
$ conda list
# packages in environment at /home/me/miniconda3/envs/venv:
#
# Name Version Build Channel
fastapi 0.89.1 pypi_0 pypi
mlem 0.4.1 pypi_0 pypi
(venv) me@laptop:~/BitBucket/project$ pip install mlem --no-dependencies
Requirement already satisfied: mlem in /home/me/miniconda3/envs/venv/lib/python3.10/site-packages (0.4.1)
(venv) me@laptop:~/BitBucket/project$ pip show mlem
Name: mlem
Version: 0.4.1
Summary: Version and deploy your models following GitOps principles
Home-page: https://mlem.ai
Author: Mikhail Sveshnikov
Author-email: mike0sv@iterative.ai
License: Apache License 2.0
Location: /home/me/miniconda3/envs/venv/lib/python3.10/site-packages
Requires: aiohttp, aiohttp-swagger, cached-property, click, cloudpickle, dill, entrypoints, flatdict, fsspec, gitpython, importlib-metadata, isort, iterative-telemetry, Jinja2, pydantic, pyparsing, python-gitlab, python-multipart, requests, rich, typer
Required-by:
请求信誉良好的会员创建新标签：mlem
您有一个脚本/home/me/BitBucket/project/app/deployment-poc/mlem.py，它隐藏了可导入的包mlem。有了这样一个脚本，脚本中的import mlem尝试从该脚本中导入，而不是从包中导入。
将mlem.py重命名为其他名称。
最重要的是：永远不要将脚本命名为可导入的包。从来没有email.py或pip install mlem0等