The version constraint == will introduce the risk of dependency conflicts because the scope of dependencies is too strict.
The version constraint No Upper Bound and * will introduce the risk of the missing API Error because the latest version of the dependencies may remove some APIs.
After further analysis, in this project,
The version constraint of dependency botocore can be changed to >=0.23.0,<=1.12.253.
The version constraint of dependency Django can be changed to >=1.7,<=1.11.29.
The version constraint of dependency django-extensions can be changed to >=0.7,<=3.1.5.
The version constraint of dependency gensim can be changed to >=0.9.0,<=0.13.2.
The version constraint of dependency matplotlib can be changed to >=1.3.0,<=3.0.3.
The version constraint of dependency pandas can be changed to >=0.20.0,<=0.24.2.
The version constraint of dependency requests can be changed to >=0.2.1,<=0.2.3.
The version constraint of dependency requests can be changed to >=0.7.0,<=2.24.0.
The version constraint of dependency requests can be changed to ==2.26.0.
The version constraint of dependency scipy can be changed to >=0.12.0,<=0.17.1.
The version constraint of dependency pyLDAvis can be changed to >=1.0.0,<=1.3.2.
The version constraint of dependency pyLDAvis can be changed to >=1.3.4,<=3.2.2.
The above modification suggestions can reduce the dependency conflicts as much as possible,
and introduce the latest version as much as possible without calling Error in the projects.
The invocation of the current project includes all the following methods.
Hi, In moviegeek, inappropriate dependency versioning constraints can cause risks.
Below are the dependencies and version constraints that the project is using
The version constraint == will introduce the risk of dependency conflicts because the scope of dependencies is too strict. The version constraint No Upper Bound and * will introduce the risk of the missing API Error because the latest version of the dependencies may remove some APIs.
After further analysis, in this project, The version constraint of dependency botocore can be changed to >=0.23.0,<=1.12.253. The version constraint of dependency Django can be changed to >=1.7,<=1.11.29. The version constraint of dependency django-extensions can be changed to >=0.7,<=3.1.5. The version constraint of dependency gensim can be changed to >=0.9.0,<=0.13.2. The version constraint of dependency matplotlib can be changed to >=1.3.0,<=3.0.3. The version constraint of dependency pandas can be changed to >=0.20.0,<=0.24.2. The version constraint of dependency requests can be changed to >=0.2.1,<=0.2.3. The version constraint of dependency requests can be changed to >=0.7.0,<=2.24.0. The version constraint of dependency requests can be changed to ==2.26.0. The version constraint of dependency scipy can be changed to >=0.12.0,<=0.17.1. The version constraint of dependency pyLDAvis can be changed to >=1.0.0,<=1.3.2. The version constraint of dependency pyLDAvis can be changed to >=1.3.4,<=3.2.2.
The above modification suggestions can reduce the dependency conflicts as much as possible, and introduce the latest version as much as possible without calling Error in the projects.
The invocation of the current project includes all the following methods.
The calling methods from the botocore
The calling methods from the Django
The calling methods from the django-extensions
The calling methods from the gensim
The calling methods from the matplotlib
The calling methods from the pandas
The calling methods from the requests
The calling methods from the scipy
The calling methods from the pyLDAvis
The calling methods from the all methods
@developer Could please help me check this issue? May I pull a request to fix it? Thank you very much.