Merge pull request #2657 from chaoss/deps-update-33

Dependencies Updated

README.md

@@ -1,4 +1,4 @@
-# Augur NEW Release v0.60.2
+# Augur NEW Release v0.60.5
 
 [![first-timers-only](https://img.shields.io/badge/first--timers--only-friendly-blue.svg?style=flat-square)](https://www.firsttimersonly.com/) We follow the [First Timers Only](https://www.firsttimersonly.com/) philosophy of tagging issues for first timers only, and walking one newcomer through the resolution process weekly. [You can find these issues tagged with "first timers only" on our issues list.](https://github.com/chaoss/augur/labels/first-timers-only).
 
@@ -7,7 +7,7 @@
 ## NEW RELEASE ALERT!
 ### [If you want to jump right in, updated docker build/compose and bare metal installation instructions are available here](docs/new-install.md)
 
-Augur is now releasing a dramatically improved new version to the main branch. It is also available here: https://github.com/chaoss/augur/releases/tag/v0.60.2
+Augur is now releasing a dramatically improved new version to the main branch. It is also available here: https://github.com/chaoss/augur/releases/tag/v0.60.5
 - The `main` branch is a stable version of our new architecture, which features:
   - Dramatic improvement in the speed of large scale data collection (100,000+ repos). All data is obtained for 100k+ repos within 2 weeks.
   - A new job management architecture that uses Celery and Redis to manage queues, and enables users to run a Flower job monitoring dashboard

augur/tasks/data_analysis/clustering_worker/setup.py

@@ -29,11 +29,11 @@ def read(filename):
         'psycopg2-binary==2.9.3',
         #'sklearn==0.0.0',
         'scikit-learn==1.1.3',
-        'numpy==1.22.0',
+        'numpy==1.26.0',
         'nltk==3.6.6',
         'seaborn==0.11.1',
         'pandas==1.5.3',
-        'matplotlib==3.5.1'
+        'matplotlib>=3.5.1'
     ],
     classifiers=[
         'Development Status :: 2 - Pre-Alpha',

augur/tasks/data_analysis/discourse_analysis/setup.py

@@ -28,13 +28,13 @@ def read(filename):
         'requests==2.28.0',
         'psycopg2-binary==2.9.3',
         'click==8.0.3', 
-        'scipy==1.10.0',
+        'scipy>=1.10.0',
         'nltk==3.6.6',
         'pandas==1.5.3',
         'scikit-learn==1.1.3',
         'textblob==0.15.3', 
-        'python-crfsuite==0.9.8',
-        'sklearn-crfsuite==0.3.6',
+        'python-crfsuite>=0.9.8',
+        'sklearn-crfsuite>=0.3.6',
         'tabulate==0.8.9'
     ], # python-crfsuite-0.9.8 sklearn-crfsuite-0.3.6 tabulate-0.8.9
     entry_points={

augur/tasks/data_analysis/insight_worker/setup.py

@@ -29,9 +29,9 @@ def read(filename):
         'requests==2.28.0',
         'psycopg2-binary==2.9.3',
         'click==8.0.3',
-        'scipy>=1.7.3',
+        'scipy>=1.10.0',
         'sklearn==0.0',
-        'numpy==1.22.0', 
+        'numpy==1.26.0', 
     ],
     entry_points={
         'console_scripts': [

augur/tasks/data_analysis/message_insights/setup.py

@@ -30,22 +30,22 @@ def read(filename):
         'requests==2.28.0',
         'psycopg2-binary==2.9.3',
         'click==8.0.3',
-        'scipy==1.10.0',
+        'scipy>=1.10.0',
         'scikit-learn==1.1.3', #0.24.2',
-        'numpy==1.22.0',
+        'numpy==1.26.0',
         'nltk==3.6.6',
         'pandas==1.5.3',
         'emoji==1.2.0',
-        'Keras==2.13.1',
+        'keras>=2.15.0',
         'Keras-Preprocessing',
-        'tensorflow==2.13.1',
+        'tensorflow==2.15.0',
         'h5py==3.10.0',
         'scikit-image==0.19.1',
         'joblib==1.2.0',
         'xgboost',
         'bs4==0.0.1',
         'xlrd==2.0.1',
-        'gensim==4.2.0'
+        'gensim>=4.2.0'
     ],
     classifiers=[
         'Development Status :: 3 - Alpha',

augur/tasks/data_analysis/pull_request_analysis_worker/setup.py

@@ -29,12 +29,12 @@ def read(filename):
         'psycopg2-binary==2.9.3',
         'sklearn==0.0',
         'nltk==3.6.6',
-        'numpy==1.22.0',
+        'numpy==1.26.0',
         'pandas==1.5.3',
         'emoji==1.2.0',
         'joblib==1.2.0',
         'xgboost==1.4.2',
-        'scipy==1.10.0'
+        'scipy>=1.10.0'
     ],
     classifiers=[
         'Development Status :: 2 - Pre-Alpha',

setup.py

@@ -49,7 +49,7 @@
         "Flask-Login==0.5.0",
         "Flask-WTF==1.0.0",
         "pandas==1.5.3", # 1.4.3
-        "numpy==1.22", # 1.23.2
+        "numpy==1.26.0", # 1.23.2
         "requests==2.28.0", # 2.28.1
         "psycopg2-binary==2.9.3", #2.9.3 what is pscopg-binary 3.0.16
         "click==8.0.3", # 8.1.3
@@ -66,7 +66,7 @@
         "distributed >= 2021.03.0", # 2022.8.1
         "nltk==3.6.6", # 3.7
         "h5py==3.10.0", # 3.7
-        "scipy==1.10.0", # 1.9.0
+        "scipy>=1.10.0", # 1.9.0
         "blinker==1.4", # 1.5
         "protobuf<3.22", # 4.21.5
         "slack==0.0.2", # 0.0.2