我正在尝试创建自己的anaconda软件包，经过多次尝试，我终于设法从我的package中创建了一个conda可用的code。 （它取决于haasad频道中的软件包，因此应这样安装：
conda install -c monomonedula sten -c haasad。
当我尝试在同一环境中安装名为stellargraph的软件包时出现问题：
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: \
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
failed
UnsatisfiableError: The following specifications were found to be incompatible with each other:
Output in format: Requested package -> Available versions
这里最令人沮丧的部分是缺少哪些软件包实际发生冲突的输出。为什么它为空？我该如何解决？
UPD。 在另一台机器上，它突然显示出哪些依赖关系实际上是冲突的，但是仍然很难理解。那么，我该如何解决呢？
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: \
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
failed
UnsatisfiableError: The following specifications were found to be incompatible with each other:
Output in format: Requested package -> Available versions
Package numpy conflicts for:
stellargraph -> gensim[version='>=3.4.0'] -> numpy[version='>=1.11.3,<2.0a0|>=1.16.5,<2.0a0|>=1.14.6,<2.0a0|>=1.13.3,<2.0a0|>=1.12.1,<2.0a0|>=1.15.1,<2.0a0|>=1.9.3,<2.0a0']
stellargraph -> numpy[version='>=1.14']
Package scipy conflicts for:
stellargraph -> scipy[version='>=1.1.0']
stellargraph -> gensim[version='>=3.4.0'] -> scipy[version='>=0.18.1']
Package numpy-base conflicts for:
sten -> numpy -> numpy-base[version='1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.17.2.*|1.17.3.*|1.17.4.*|1.18.1.*|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|>=1.9.3,<2.0a0|1.17.0|1.17.0|1.17.0|1.17.0',build='py36h2f8d375_0|py37h2f8d375_0|py37hde5b4d6_0|py36hdbf6ddf_6|py27hdbf6ddf_7|py27h2b20989_7|py37h2b20989_7|py27h2b20989_7|py37hdbf6ddf_7|py37hdbf6ddf_8|py27hdbf6ddf_8|py35hdbf6ddf_8|py37h7cdd4dd_9|py37h3dfced4_9|py36h3dfced4_9|py35h3dfced4_9|py37h81de0dd_9|py27h74e8950_9|py35h74e8950_9|py37h74e8950_9|py27h81de0dd_9|py27h74e8950_10|py36h74e8950_10|py35h81de0dd_10|py37h2f8d375_10|py27h2f8d375_11|py36hde5b4d6_11|py37hde5b4d6_11|py37h2f8d375_12|py27h2f8d375_12|py37hde5b4d6_12|py36hde5b4d6_12|py38hde5b4d6_12|py38h2f8d375_12|py36h9be14a7_1|py27h2b20989_0|py36h2b20989_0|py27hdbf6ddf_0|py36hdbf6ddf_0|py36h2b20989_0|py27h2b20989_0|py36hdbf6ddf_0|py35hdbf6ddf_0|py36h2b20989_1|py37hdbf6ddf_1|py36h2b20989_2|py36hdbf6ddf_2|py27h2b20989_3|py27h2b20989_4|py27hdbf6ddf_4|py36h2b20989_4|py36hdbf6ddf_4|py35h2b20989_4|py36h2f8d375_4|py27h2f8d375_4|py37h81de0dd_4|py36h81de0dd_4|py37h2f8d375_5|py37hde5b4d6_5|py37h7cdd4dd_0|py35h7cdd4dd_0|py27h3dfced4_0|py37h3dfced4_0|py36h74e8950_0|py36h81de0dd_0|py27h81de0dd_0|py36h2f8d375_0|py37h2f8d375_0|py37h2f8d375_0|py36h2f8d375_0|py36h81de0dd_0|py27h2f8d375_1|py37h81de0dd_1|py37h2f8d375_1|py36h2f8d375_0|py37h2f8d375_0|py27h81de0dd_0|py36h81de0dd_0|py37h2f8d375_0|py36h2f8d375_0|py36h81de0dd_0|py27h81de0dd_0|py27hde5b4d6_0|py37hde5b4d6_0|py37hde5b4d6_0|py36h2f8d375_0|py27hde5b4d6_0|py37h2f8d375_1|py27h2f8d375_1|py37hde5b4d6_1|py27hde5b4d6_1|py36hde5b4d6_1|py36h2f8d375_0|py37hde5b4d6_0|py27hde5b4d6_0|py27h2f8d375_1|py37h2f8d375_1|py37hde5b4d6_1|py36hde5b4d6_1|py27hde5b4d6_1|py37h2f8d375_0|py36h2f8d375_0|py37hde5b4d6_0|py27hde5b4d6_0|py37h2f8d375_0|py36h2f8d375_0|py37hde5b4d6_0|py27hde5b4d6_0|py36h2f8d375_0|py37h2f8d375_0|py37hde5b4d6_0|py27hde5b4d6_0|py36h2f8d375_0|py37h2f8d375_0|py27hde5b4d6_0|py37hde5b4d6_0|py37h2f8d375_0|py36h2f8d375_0|py37hde5b4d6_0|py38h2f8d375_0|py27hde5b4d6_0|py27h2f8d375_0|py38hde5b4d6_0|py36hde5b4d6_0|py36hde5b4d6_0|py27h2f8d375_0|py36hde5b4d6_0|py27h2f8d375_0|py36hde5b4d6_0|py27h2f8d375_0|py36hde5b4d6_0|py27h2f8d375_0|py36h2f8d375_1|py36hde5b4d6_0|py27h2f8d375_0|py37h2f8d375_0|py36h2f8d375_1|py36hde5b4d6_0|py37h2f8d375_0|py27h2f8d375_0|py36hde5b4d6_0|py37h81de0dd_0|py27h2f8d375_0|py37h81de0dd_0|py27h2f8d375_0|py36h81de0dd_1|py27h81de0dd_1|py36h2f8d375_1|py35h2f8d375_0|py35h81de0dd_0|py27h81de0dd_0|py37h81de0dd_0|py27h2f8d375_0|py27h2f8d375_0|py35h2f8d375_0|py35h81de0dd_0|py37h81de0dd_0|py37h74e8950_0|py27h74e8950_0|py35h74e8950_0|py35h3dfced4_0|py36h3dfced4_0|py36h7cdd4dd_0|py27h7cdd4dd_0|py36hde5b4d6_5|py27hde5b4d6_5|py27h2f8d375_5|py36h2f8d375_5|py38hde5b4d6_4|py38h2f8d375_4|py35h81de0dd_4|py27h81de0dd_4|py35h2f8d375_4|py37h2f8d375_4|py35hdbf6ddf_4|py37hdbf6ddf_4|py37h2b20989_4|py27hdbf6ddf_3|py36hdbf6ddf_3|py37hdbf6ddf_3|py37h2b20989_3|py36h2b20989_3|py37hdbf6ddf_2|py27hdbf6ddf_2|py37h2b20989_2|py27h2b20989_2|py27h2b20989_1|py36hdbf6ddf_1|py27hdbf6ddf_1|py37h2b20989_1|py27hdbf6ddf_0|py35hdbf6ddf_0|py35h2b20989_0|py35h9be14a7_1|py27h9be14a7_1|py35h0ea5e3f_1|py27h0ea5e3f_1|py36h0ea5e3f_1|py27hde5b4d6_12|py36h2f8d375_12|py27hde5b4d6_11|py36h2f8d375_11|py37h2f8d375_11|py35h2f8d375_10|py27h2f8d375_10|py36h2f8d375_10|py36h81de0dd_10|py37h81de0dd_10|py27h81de0dd_10|py35h74e8950_10|py37h74e8950_10|py35h81de0dd_9|py36h74e8950_9|py36h81de0dd_9|py27h3dfced4_9|py27h7cdd4dd_9|py3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stellargraph -> numpy[version='>=1.14'] -> numpy-base[version='1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.17.2.*|1.17.3.*|1.17.4.*|1.18.1.*|1.17.0|1.17.0|1.17.0|1.17.0',build='py36h2f8d375_0|py37h2f8d375_0|py37hde5b4d6_0|py36h9be14a7_1|py27h2b20989_0|py36h2b20989_0|py27hdbf6ddf_0|py36hdbf6ddf_0|py36h2b20989_0|py27h2b20989_0|py36hdbf6ddf_0|py35hdbf6ddf_0|py36h2b20989_1|py37hdbf6ddf_1|py36h2b20989_2|py36hdbf6ddf_2|py27h2b20989_3|py27h2b20989_4|py27hdbf6ddf_4|py36h2b20989_4|py36hdbf6ddf_4|py35h2b20989_4|py36h2f8d375_4|py27h2f8d375_4|py37h81de0dd_4|py36h81de0dd_4|py37h2f8d375_5|py37hde5b4d6_5|py37h7cdd4dd_0|py35h7cdd4dd_0|py27h3dfced4_0|py37h3dfced4_0|py36h74e8950_0|py36h81de0dd_0|py27h81de0dd_0|py36h2f8d375_0|py37h2f8d375_0|py37h2f8d375_0|py36h2f8d375_0|py36h81de0dd_0|py27h2f8d375_1|py37h81de0dd_1|py37h2f8d375_1|py36h2f8d375_0|py37h2f8d375_0|py27h81de0dd_0|py36h81de0dd_0|py37h2f8d375_0|py36h2f8d375_0|py36h81de0dd_0|py27h81de0dd_0|py27hde5b4d6_0|py37hde5b4d6_0|py37hde5b4d6_0|py36h2f8d375_0|py27hde5b4d6_0|py37h2f8d375_1|py27h2f8d375_1|py37hde5b4d6_1|py27hde5b4d6_1|py36hde5b4d6_1|py36h2f8d375_0|py37hde5b4d6_0|py27hde5b4d6_0|py27h2f8d375_1|py37h2f8d375_1|py37hde5b4d6_1|py36hde5b4d6_1|py27hde5b4d6_1|py37h2f8d375_0|py36h2f8d375_0|py37hde5b4d6_0|py27hde5b4d6_0|py37h2f8d375_0|py36h2f8d375_0|py37hde5b4d6_0|py27hde5b4d6_0|py36h2f8d375_0|py37h2f8d375_0|py37hde5b4d6_0|py27hde5b4d6_0|py36h2f8d375_0|py37h2f8d375_0|py27hde5b4d6_0|py37hde5b4d6_0|py37h2f8d375_0|py36h2f8d375_0|py37hde5b4d6_0|py38h2f8d375_0|py27hde5b4d6_0|py27h2f8d375_0|py38hde5b4d6_0|py36hde5b4d6_0|py36hde5b4d6_0|py27h2f8d375_0|py36hde5b4d6_0|py27h2f8d375_0|py36hde5b4d6_0|py27h2f8d375_0|py36hde5b4d6_0|py27h2f8d375_0|py36h2f8d375_1|py36hde5b4d6_0|py27h2f8d375_0|py37h2f8d375_0|py36h2f8d375_1|py36hde5b4d6_0|py37h2f8d375_0|py27h2f8d375_0|py36hde5b4d6_0|py37h81de0dd_0|py27h2f8d375_0|py37h81de0dd_0|py27h2f8d375_0|py36h81de0dd_1|py27h81de0dd_1|py36h2f8d375_1|py35h2f8d375_0|py35h81de0dd_0|py27h81de0dd_0|py37h81de0dd_0|py27h2f8d375_0|py27h2f8d375_0|py35h2f8d375_0|py35h81de0dd_0|py37h81de0dd_0|py37h74e8950_0|py27h74e8950_0|py35h74e8950_0|py35h3dfced4_0|py36h3dfced4_0|py36h7cdd4dd_0|py27h7cdd4dd_0|py36hde5b4d6_5|py27hde5b4d6_5|py27h2f8d375_5|py36h2f8d375_5|py38hde5b4d6_4|py38h2f8d375_4|py35h81de0dd_4|py27h81de0dd_4|py35h2f8d375_4|py37h2f8d375_4|py35hdbf6ddf_4|py37hdbf6ddf_4|py37h2b20989_4|py27hdbf6ddf_3|py36hdbf6ddf_3|py37hdbf6ddf_3|py37h2b20989_3|py36h2b20989_3|py37hdbf6ddf_2|py27hdbf6ddf_2|py37h2b20989_2|py27h2b20989_2|py27h2b20989_1|py36hdbf6ddf_1|py27hdbf6ddf_1|py37h2b20989_1|py27hdbf6ddf_0|py35hdbf6ddf_0|py35h2b20989_0|py35h9be14a7_1|py27h9be14a7_1|py35h0ea5e3f_1|py27h0ea5e3f_1|py36h0ea5e3f_1|py36hde5b4d6_0']
我的程序包中没有太多的依赖项，所以为什么它不起作用对我来说还是个谜
答案 0 :(得分：1)
我暂时不确定您所看到的是什么冲突，或者如何解决您的环境，但是我能够从一个新的，基本的克隆环境中安装stellargraph，sten和mono ...软件包。从头开始构建环境以供其他人使用可能会更有用。这是我使用的命令：
conda create --name monomo --clone base
conda activate monomo
conda install -c monomonedula sten -c haasad
conda install -c stellargraph stellargraph
(monomo) C:\Users\me>conda list
# packages in environment at C:\Users\me\miniconda3\envs\monomo:
#
# Name Version Build Channel
...
gensim 3.8.0 py37hf9181ef_0
...
numpy 1.18.1 py37h93ca92e_0
numpy-base 1.18.1 py37hc3f5095_1
...
python 3.7.6 h60c2a47_2
...
scipy 1.4.1 py37h9439919_0
...
stellargraph 1.1.0 py_0 stellargraph
sten 0.1.0 py_0 monomonedula
...
也许您可以使用列出的版本在一个命令上安装所有这些软件包。
I.E。 康达安装scipy = 1.4.1 = py37h9439919_0 numpy-base = 1.18.1 = py37hc3f5095_1等等...