Result for 015D098426FB6D67087782DABDA8EDB19C9D7BCD

Query result

Key Value
FileName./usr/lib/python2.7/site-packages/celery/tests/events/test_state.pyo
FileSize24053
MD58AA76AEAEDE5AB4CEE80FD1C6E09C1A6
SHA-1015D098426FB6D67087782DABDA8EDB19C9D7BCD
SHA-256C5B4A44B93CF6C86F24D68FF8ACEB2C9EF3C0383ACA945B85C10C8F3638BD349
SSDEEP384:iakZNE7+ztwSHxGbNxXQlfg61zWdrLLVtoqdyBP4zhwswpy/J:mEKacRz16RLLYqGPqwmB
TLSHT1C7B29C80B3E68A4FD6A41136A2F4232BE9B5F4F766017B5111BC943D2DD8369C86E3C7
hashlookup:parent-total3
hashlookup:trust65

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Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD53ADB92A768A8D5E030BF31F155B21B58
PackageArchnoarch
PackageDescriptionAn open source asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. The execution units, called tasks, are executed concurrently on one or more worker nodes using multiprocessing, Eventlet or gevent. Tasks can execute asynchronously (in the background) or synchronously (wait until ready). Celery is used in production systems to process millions of tasks a day. Celery is written in Python, but the protocol can be implemented in any language. It can also operate with other languages using webhooks. The recommended message broker is RabbitMQ, but limited support for Redis, Beanstalk, MongoDB, CouchDB and databases (using SQLAlchemy or the Django ORM) is also available.
PackageMaintainerFedora Project
PackageNamepython-celery
PackageRelease4.fc23
PackageVersion3.1.9
SHA-13C7FDFD4F67F27FD72F3DC4D9DAE6F3DF4A3F8B9
SHA-256E88D8FD0E7EA7D01436FD3A6A324515CFE654560CD0A393BDF154956E165E2EE
Key Value
MD55B80AD979CF836B674A7D6735C12BCAB
PackageArchnoarch
PackageDescriptionAn open source asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. The execution units, called tasks, are executed concurrently on one or more worker nodes using multiprocessing, Eventlet or gevent. Tasks can execute asynchronously (in the background) or synchronously (wait until ready). Celery is used in production systems to process millions of tasks a day. Celery is written in Python, but the protocol can be implemented in any language. It can also operate with other languages using webhooks. The recommended message broker is RabbitMQ, but limited support for Redis, Beanstalk, MongoDB, CouchDB and databases (using SQLAlchemy or the Django ORM) is also available.
PackageMaintainerFedora Project
PackageNamepython-celery
PackageRelease4.fc23
PackageVersion3.1.9
SHA-1C97185ACFD5327C8ECA353CA36D9B94B07E66670
SHA-2567B33BA996E10938E117A588924A9C1C70E947256022E179981FC2A1FE53E2799
Key Value
MD58BF659EC1BE47E624F476EE71B35173F
PackageArchnoarch
PackageDescriptionAn open source asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. The execution units, called tasks, are executed concurrently on one or more worker nodes using multiprocessing, Eventlet or gevent. Tasks can execute asynchronously (in the background) or synchronously (wait until ready). Celery is used in production systems to process millions of tasks a day. Celery is written in Python, but the protocol can be implemented in any language. It can also operate with other languages using webhooks. The recommended message broker is RabbitMQ, but limited support for Redis, Beanstalk, MongoDB, CouchDB and databases (using SQLAlchemy or the Django ORM) is also available.
PackageMaintainerFedora Project
PackageNamepython-celery
PackageRelease4.fc23
PackageVersion3.1.9
SHA-1AFA49ABA28324F8AE9E3DD82866C50DD3D0DF23A
SHA-25610D43CC290A443B2A116732B21180B1C7D83AB3281787AA34851BCBF121F0ABE