regressive-imagery-dictionary

“The Regressive Imagery Dictionary (RID) is a coding scheme for text analysis that is designed to measure ‘primordial’ and conceptual content. Primordial thought is the kind of free-form, associative thinking involved in fantasy and dreams. Like Freud’s id, I guess. Conceptual (or secondary) thought is logical, reality-based and focused on problem solving.”

via: John Wiseman (http://lemonodor.com/archives/001511.html)

Development Status
- 5 - Production/Stable
Environment
- Web Environment
Intended Audience
- Developers
License
- Public Domain
Operating System
- OS Independent
Programming Language
- Python
Topic
- Utilities

Metadata

Development Status
- 5 - Production/Stable
Environment
- Web Environment
Intended Audience
- Developers
License
- Public Domain
Operating System
- OS Independent
Programming Language
- Python
Topic
- Utilities

Release files for regressive-imagery-dictionary 0.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for regressive-imagery-dictionary 0.2.0
File	Size	Uploaded
regressive-imagery-dictionary-0.2.0.tar.gz	21.1 kB	May 29, 2020	Details

Built distribution (wheel)

Table of built distributions (wheels) for regressive-imagery-dictionary 0.2.0
File	Interpreter	ABI	Platform	Reset
regressive_imagery_dictionary-0.2.0-py2.py3-none-any.whl 21.3 kB May 29, 2020	Python 3, Python 2	none	any	Details

Total release size: 42.5 kB

Release files / regressive-imagery-dictionary-0.2.0.tar.gz

Download URL	regressive-imagery-dictionary-0.2.0.tar.gz
Size	21.1 kB
Tags	Source
SHA-256 checksum How to use checksums	`560f04ee070d4976e6dac90c4257fac38ce5c495232c006f5d820d8e76a7af15`
BLAKE2b-256 checksum How to use checksums	`dfed505ca32416c3d3910f218dc35e298243b2f424660d8c7051201510661b9f`
Upload date	May 29, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`Python-urllib/3.7`

Release files / regressive_imagery_dictionary-0.2.0-py2.py3-none-any.whl

Download URL	regressive_imagery_dictionary-0.2.0-py2.py3-none-any.whl
Size	21.3 kB
Tags	Python 2 Python 3
SHA-256 checksum How to use checksums	`d939d6a6eb14ec52b34f6fb5743f17978a2d4b8881fad2a5bdeeda8b969ecda0`
BLAKE2b-256 checksum How to use checksums	`337fcdedd9c6a9e399b2b807dc9814b00b3c401c8c3d08257a18a7a4cd953ea7`
Upload date	May 29, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`Python-urllib/3.7`