setup
Depending on your system/platform, the setup may need to be modified to include appropriate hooks. PIDs work differently on computer systems too so if you're getting a specific error, check what kind of PID interface you're using. The default is for more of a Linux type of system. If you need windows, you'll have to alter the PID channel accordingly AFTER setup.
"""
Copyright (C) 2020 New Entity Operations Inc.
ALL RIGHTS RESERVED
setup contains package meta-data
"""
# Imports: Standard
from distutils.core import setup
from os.path import (
dirname, join
)
## ReadMe location
README = 'DOCUMENTATION/README.ds'
## Meta-data
def read(README):
return open(join(dirname(__file__), README)).read()
setup(
name="C.ORE (Cognitive Operations Resource Enclave)",
author="New Entity Operations Inc.",
author_email="Operator@NewEntityOperations.com",
maintainer="Ryan McKenna",
maintainer_email="Operator@NewEntityOperations.com",
url="https://www.NewEntityOperations.com/CORE/",
license="NEW ENTITY LICENSE VERSION 1 (NELV1)",
version="1.0",
packages=[
'ACCESS', 'IDENTITY', 'RING',
'CORE',
'core_add', 'core_alerts', 'core_architect', 'core_build', 'core_config',
'core_count', 'core_creator', 'core_FRONTEND', 'core_gatekeeper', 'core_gather',
'core_hash', 'core_graphics', 'core_hash', 'core_interface', 'core_modify',
'core_navigator', 'core_operations', 'core_seeker', 'core_server', 'core_settings',
'core_transmitter', 'core_url', 'core_view', 'constructed_class', 'fetch_ORE',
'ingest_commands',
'CONFIG',
'DATA',
'DOCUMENTATION',
'FILTER',
'HARDWARE',
'LEARNING',
'LICENSES',
'OPENPACKAGER'
],
provides=[
'ACCESS', 'IDENTITY', 'RING',
'CORE',
'core_add', 'core_alerts', 'core_architect', 'core_build', 'core_config',
'core_count', 'core_creator', 'core_FRONTEND', 'core_gatekeeper', 'core_gather',
'core_hash', 'core_graphics', 'core_hash', 'core_interface', 'core_modify',
'core_navigator', 'core_operations', 'core_seeker', 'core_server', 'core_settings',
'core_transmitter', 'core_url', 'core_view', 'constructed_class', 'fetch_ORE',
'ingest_commands',
'CONFIG',
'DATA',
'DOCUMENTATION',
'FILTER',
'HARDWARE',
'LEARNING',
'LICENSES',
'OPENPACKAGER'
],
keywords=[
"IPDVS",
"C.ORE", "CORE", "COGNITIVE ORE", "CORE.HOST",
"AIREP", "OPENPACKAGER", "BROWSEMEH",
"REMINDME",
"entity", 'datascript',
"new entity", "new entity operations",
"python", "python3", "python3.8",
"pandas","dataframe", "csv","json",
"processing engine", "meta-vetting",
"abstraction","framework", "generator", "image browser", "image viewer",
"meta", "browser", "lockerlinks"
],
classifiers=[
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Natural Language :: English",
"Operating System :: Posix",
"License :: New Entity License Version 2 :: proprietary"
],
description=[
"C.ORE (COGNITIVE ORE) is a meta-vetting and disccovery engine " \
"for entity-centric systems.\n" \
"This full-program adds a functional data-layer to your machine " \
"that is easy to extend, audit, and use for user-generated " \
"model inspection.\n" \
"ORE: ORE stands for (Operations Resource Enclave).\n"\
"C.ORE can be used to organize large quantities of both " \
"structured and raw data types according to preset control methods.\n" \
"C.ORE can also be used to replace most basic system interface " \
"functions with custom built, silo-based and programatically " \
"controlled and user-defined operations. The system also comes with " \
"stock-built or preset modes to utilize for various purposes.\n" \
"A C.ORE operator can collect information from many " \
"public or private sources.\n" \
"These sources can be from various modern file formats " \
"and structures, and are able to be sorted in " \
"C.ORE defined file-types that map data to methods " \
"and then can be formatted in various ways and reformatted " \
"at any time.\n" \
"The resulting mapping is that of a custom type in C.ORE that " \
"involves two file types. A descriptor file .entity and a " \
"data container file .ds.\n" \
".ds files can be formats of traditional and custom types. " \
"These types can be stored privately or publically as a storage" \
"of record on CORE.HOST: Index, customized, and republished.\n" \
"Both private and public .ds/.entity pairings can be accessed " \
"according to various rule sets that user-generated " \
"or community sourced. These stored listings are " \
"active within the system and can be accessed at a later time too.\n" \
"These storage locations can also be reposted and updated on " \
"CORE.HOST at any time." \
"Overall, the goal is to take mostly any legacy file format " \
"and convert it into a dynamic and functional system interface "\
"that activates your data in a .entity/.ds mapping-format.\n" \
"This mapping is built to be cross compatiable with legacy " \
"Entity-based file formats too.\n"
],
long_description= read(README),
#requires=[
# Mode: FRONTEND ->Required
# pillow
#"pillow"
## Mode: SELFSERVER-> Optional
# flask
#"flask",
#"flask_migrate",
#"flask_login",
#"flask_mail",
#"flask_moment",
#"flask_pagedown",
#"flask_httpauth",
#"flask_wtf",
## Safety: Validators
## Email-validator
# "email_validator",
## Safety: Sanitizers
## Html-sanitizer
#"bleach",
## Extras: Text enhancements
#"markdown",
## Extras: Gather and Science extensions
# "pandas",
## Mode: Gateway interface
#"uwsgi"
#],
platforms=[
"macOS", "Linux", "Windows 32-64"
]
)
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