Keno Consecutive Clustering Analyzer

Input Keno Draws

Number of Draws to Fetch

Please enter a number between 1 and 100.

Draws to Skip from Latest

Please enter a non-negative number.

Minimum Cluster Size

Please enter a number ≥ 2.

Minimum Cluster Frequency

Please enter a number ≥ 1.

Keno Draws (one per line, 20 comma-separated numbers)

5,8,9,14,15,18,19,31,34,38,39,45,50,59,61,65,66,70,72,78
2,3,5,14,15,17,19,20,24,27,32,35,36,48,49,58,69,75,77,78
12,18,23,30,31,36,40,42,44,51,53,56,57,61,63,67,69,73,74,78
5,12,15,19,21,22,23,27,29,31,35,37,40,43,57,67,68,73,75,76
2,3,6,7,10,16,20,23,36,40,43,44,45,46,54,59,66,70,71,75
8,15,21,25,29,43,46,47,51,55,57,59,60,64,69,70,72,73,77,80
6,12,16,21,25,28,29,31,33,35,43,44,53,55,56,61,64,66,72,73
3,5,6,9,21,23,25,26,28,31,33,41,45,47,52,58,69,71,76,80
15,20,21,24,30,33,35,41,43,44,46,48,60,62,63,68,69,75,79,80
5,11,12,13,14,17,18,19,24,29,32,36,38,40,42,44,53,57,58,61
3,4,5,6,14,15,26,27,37,40,48,49,51,53,62,67,70,72,74,78
8,12,18,21,30,32,33,34,36,42,54,57,61,65,67,71,72,75,77,79
7,8,9,11,12,14,20,22,25,35,39,48,51,54,55,58,59,67,73,75
4,5,6,10,11,18,21,24,25,28,32,36,40,44,45,51,59,60,64,69
4,6,10,11,13,16,25,32,36,43,44,46,47,49,58,63,64,69,73,80
2,4,5,11,14,17,21,22,29,31,36,48,50,58,60,61,63,64,67,71
3,5,6,16,18,19,29,32,33,37,41,51,58,59,61,63,71,72,73,79
9,12,20,22,23,27,32,34,41,42,43,46,49,53,54,58,61,62,73,76
5,7,8,15,17,19,22,34,37,41,43,47,51,53,58,66,71,75,79,80
1,2,3,4,8,12,18,25,31,34,38,48,51,52,61,66,70,71,74,80

Please provide valid draws with 20 numbers each.

Consecutive Clustering Results

Cluster Frequencies

Cluster [14, 15]: 3 times (Draws: 0, 1, 10)

Cluster [43, 44]: 3 times (Draws: 6, 8, 14)

Cluster [2, 3]: 2 times (Draws: 1, 4)

Cluster [5, 6]: 2 times (Draws: 7, 16)

Cluster [10, 11]: 2 times (Draws: 13, 14)

Cluster [18, 19]: 2 times (Draws: 0, 16)

Cluster [46, 47]: 2 times (Draws: 5, 14)

Cluster [48, 49]: 2 times (Draws: 1, 10)

Cluster [58, 59]: 2 times (Draws: 12, 16)

Cluster [59, 60]: 2 times (Draws: 5, 13)

Cluster [63, 64]: 2 times (Draws: 14, 15)

Cluster [70, 71]: 2 times (Draws: 4, 19)

Cluster [72, 73]: 2 times (Draws: 5, 6)

Cluster [79, 80]: 2 times (Draws: 8, 18)

Cluster [1, 2, 3, 4]: 1 times (Draws: 19)

Cluster [3, 4, 5, 6]: 1 times (Draws: 10)

Cluster [4, 5]: 1 times (Draws: 15)

Cluster [4, 5, 6]: 1 times (Draws: 13)

Cluster [6, 7]: 1 times (Draws: 4)

Cluster [7, 8]: 1 times (Draws: 18)

Cluster [7, 8, 9]: 1 times (Draws: 12)

Cluster [8, 9]: 1 times (Draws: 0)

Cluster [11, 12]: 1 times (Draws: 12)

Cluster [11, 12, 13, 14]: 1 times (Draws: 9)

Cluster [17, 18, 19]: 1 times (Draws: 9)

Cluster [19, 20]: 1 times (Draws: 1)

Cluster [20, 21]: 1 times (Draws: 8)

Cluster [21, 22]: 1 times (Draws: 15)

Cluster [21, 22, 23]: 1 times (Draws: 3)

Cluster [22, 23]: 1 times (Draws: 17)

Cluster [24, 25]: 1 times (Draws: 13)

Cluster [25, 26]: 1 times (Draws: 7)

Cluster [26, 27]: 1 times (Draws: 10)

Cluster [28, 29]: 1 times (Draws: 6)

Cluster [30, 31]: 1 times (Draws: 2)

Cluster [32, 33]: 1 times (Draws: 16)

Cluster [32, 33, 34]: 1 times (Draws: 11)

Cluster [35, 36]: 1 times (Draws: 1)

Cluster [38, 39]: 1 times (Draws: 0)

Cluster [41, 42, 43]: 1 times (Draws: 17)

Cluster [43, 44, 45, 46]: 1 times (Draws: 4)

Cluster [44, 45]: 1 times (Draws: 13)

Cluster [51, 52]: 1 times (Draws: 19)

Cluster [53, 54]: 1 times (Draws: 17)

Cluster [54, 55]: 1 times (Draws: 12)

Cluster [55, 56]: 1 times (Draws: 6)

Cluster [56, 57]: 1 times (Draws: 2)

Cluster [57, 58]: 1 times (Draws: 9)

Cluster [60, 61]: 1 times (Draws: 15)

Cluster [61, 62]: 1 times (Draws: 17)

Cluster [62, 63]: 1 times (Draws: 8)

Cluster [65, 66]: 1 times (Draws: 0)

Cluster [67, 68]: 1 times (Draws: 3)

Cluster [68, 69]: 1 times (Draws: 8)

Cluster [69, 70]: 1 times (Draws: 5)

Cluster [71, 72]: 1 times (Draws: 11)

Cluster [71, 72, 73]: 1 times (Draws: 16)

Cluster [73, 74]: 1 times (Draws: 2)

Cluster [75, 76]: 1 times (Draws: 3)

Cluster [77, 78]: 1 times (Draws: 1)

Clusters by Draw

Draw 1: [8, 9], [14, 15], [18, 19], [38, 39], [65, 66]

Draw 2: [2, 3], [14, 15], [19, 20], [35, 36], [48, 49], [77, 78]

Draw 3: [30, 31], [56, 57], [73, 74]

Draw 4: [21, 22, 23], [67, 68], [75, 76]

Draw 5: [2, 3], [6, 7], [43, 44, 45, 46], [70, 71]

Draw 6: [46, 47], [59, 60], [69, 70], [72, 73]

Draw 7: [28, 29], [43, 44], [55, 56], [72, 73]

Draw 8: [5, 6], [25, 26]

Draw 9: [20, 21], [43, 44], [62, 63], [68, 69], [79, 80]

Draw 10: [11, 12, 13, 14], [17, 18, 19], [57, 58]

Draw 11: [3, 4, 5, 6], [14, 15], [26, 27], [48, 49]

Draw 12: [32, 33, 34], [71, 72]

Draw 13: [7, 8, 9], [11, 12], [54, 55], [58, 59]

Draw 14: [4, 5, 6], [10, 11], [24, 25], [44, 45], [59, 60]

Draw 15: [10, 11], [43, 44], [46, 47], [63, 64]

Draw 16: [4, 5], [21, 22], [60, 61], [63, 64]

Draw 17: [5, 6], [18, 19], [32, 33], [58, 59], [71, 72, 73]

Draw 18: [22, 23], [41, 42, 43], [53, 54], [61, 62]

Draw 19: [7, 8], [79, 80]

Draw 20: [1, 2, 3, 4], [51, 52], [70, 71]

Range Summary

1-10: 14 clusters

11-20: 10 clusters

21-30: 8 clusters

31-40: 4 clusters

41-50: 10 clusters

51-60: 11 clusters

61-70: 10 clusters

71-80: 9 clusters

Summary

Total Clusters: 76

Average Clusters per Draw: 3.8

Cluster Sizes: Size 2: 65 clusters; Size 3: 7 clusters; Size 4: 4 clusters;

Draws with Clusters: 20 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19)

Draws without Clusters: 0 ()

Debug: Raw Draws

Number of draws: 20

['5,8,9,14,15,18,19,31,34,38,39,45,50,59,61,65,66,70,72,78',
 '2,3,5,14,15,17,19,20,24,27,32,35,36,48,49,58,69,75,77,78',
 '12,18,23,30,31,36,40,42,44,51,53,56,57,61,63,67,69,73,74,78',
 '5,12,15,19,21,22,23,27,29,31,35,37,40,43,57,67,68,73,75,76',
 '2,3,6,7,10,16,20,23,36,40,43,44,45,46,54,59,66,70,71,75',
 '8,15,21,25,29,43,46,47,51,55,57,59,60,64,69,70,72,73,77,80',
 '6,12,16,21,25,28,29,31,33,35,43,44,53,55,56,61,64,66,72,73',
 '3,5,6,9,21,23,25,26,28,31,33,41,45,47,52,58,69,71,76,80',
 '15,20,21,24,30,33,35,41,43,44,46,48,60,62,63,68,69,75,79,80',
 '5,11,12,13,14,17,18,19,24,29,32,36,38,40,42,44,53,57,58,61',
 '3,4,5,6,14,15,26,27,37,40,48,49,51,53,62,67,70,72,74,78',
 '8,12,18,21,30,32,33,34,36,42,54,57,61,65,67,71,72,75,77,79',
 '7,8,9,11,12,14,20,22,25,35,39,48,51,54,55,58,59,67,73,75',
 '4,5,6,10,11,18,21,24,25,28,32,36,40,44,45,51,59,60,64,69',
 '4,6,10,11,13,16,25,32,36,43,44,46,47,49,58,63,64,69,73,80',
 '2,4,5,11,14,17,21,22,29,31,36,48,50,58,60,61,63,64,67,71',
 '3,5,6,16,18,19,29,32,33,37,41,51,58,59,61,63,71,72,73,79',
 '9,12,20,22,23,27,32,34,41,42,43,46,49,53,54,58,61,62,73,76',
 '5,7,8,15,17,19,22,34,37,41,43,47,51,53,58,66,71,75,79,80',
 '1,2,3,4,8,12,18,25,31,34,38,48,51,52,61,66,70,71,74,80']

Versions

Installed Packages

Current Site Packages Directory:

/home/keno/keno/venv-3.12.11/lib64/python3.9/site-packages

Package	Version	Homepage	Summary
apricot-select	0.6.1	http://pypi.python.org/pypi/apricot-select/	apricot is a package for submodular selection of representative sets for machine learning models.
apricot-select	0.6.1	http://pypi.python.org/pypi/apricot-select/	apricot is a package for submodular selection of representative sets for machine learning models.
arbiter	1.1.2	https://github.com/rastern/arbiter	Lightweight Data Handling Library
arbiter	1.1.2	https://github.com/rastern/arbiter	Lightweight Data Handling Library
blinker	1.9.0	None	Fast, simple object-to-object and broadcast signaling
blinker	1.9.0	None	Fast, simple object-to-object and broadcast signaling
certifi	2024.12.14	https://github.com/certifi/python-certifi	Python package for providing Mozilla's CA Bundle.
certifi	2024.12.14	https://github.com/certifi/python-certifi	Python package for providing Mozilla's CA Bundle.
charset-normalizer	3.3.2	https://github.com/Ousret/charset_normalizer	The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet.
charset-normalizer	3.3.2	https://github.com/Ousret/charset_normalizer	The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet.
click	8.1.8	None	Composable command line interface toolkit
click	8.1.8	None	Composable command line interface toolkit
contourpy	1.3.0	None	Python library for calculating contours of 2D quadrilateral grids
contourpy	1.3.0	None	Python library for calculating contours of 2D quadrilateral grids
cycler	0.12.1	None	Composable style cycles
cycler	0.12.1	None	Composable style cycles
daemon	1.2	None	None
daemon	1.2	None	None
distlib	0.3.8	https://github.com/pypa/distlib	Distribution utilities
distlib	0.3.8	https://github.com/pypa/distlib	Distribution utilities
dominate	2.9.1	None	Dominate is a Python library for creating and manipulating HTML documents using an elegant DOM API.
dominate	2.9.1	None	Dominate is a Python library for creating and manipulating HTML documents using an elegant DOM API.
duckdb	1.4.3	None	DuckDB in-process database
duckdb	1.4.3	None	DuckDB in-process database
exceptiongroup	1.3.1	None	Backport of PEP 654 (exception groups)
exceptiongroup	1.3.1	None	Backport of PEP 654 (exception groups)
filelock	3.13.1	None	A platform independent file lock.
filelock	3.13.1	None	A platform independent file lock.
Flask	3.1.2	None	A simple framework for building complex web applications.
Flask	3.1.2	None	A simple framework for building complex web applications.
Flask-Bootstrap	3.3.7.1	http://github.com/mbr/flask-bootstrap	An extension that includes Bootstrap in your project, without any boilerplate code.
Flask-Bootstrap	3.3.7.1	http://github.com/mbr/flask-bootstrap	An extension that includes Bootstrap in your project, without any boilerplate code.
Flask-DebugToolbar	0.16.0	None	A toolbar overlay for debugging Flask applications.
Flask-DebugToolbar	0.16.0	None	A toolbar overlay for debugging Flask applications.
Flask-WTF	1.2.2	None	Form rendering, validation, and CSRF protection for Flask with WTForms.
Flask-WTF	1.2.2	None	Form rendering, validation, and CSRF protection for Flask with WTForms.
fonttools	4.60.1	http://github.com/fonttools/fonttools	Tools to manipulate font files
fonttools	4.60.1	http://github.com/fonttools/fonttools	Tools to manipulate font files
fsspec	2024.12.0	None	File-system specification
fsspec	2024.12.0	None	File-system specification
gunicorn	23.0.0	None	WSGI HTTP Server for UNIX
gunicorn	23.0.0	None	WSGI HTTP Server for UNIX
hmmlearn	0.3.3	None	Hidden Markov Models in Python with scikit-learn like API
hmmlearn	0.3.3	None	Hidden Markov Models in Python with scikit-learn like API
idna	3.6	None	Internationalized Domain Names in Applications (IDNA)
idna	3.6	None	Internationalized Domain Names in Applications (IDNA)
importlib_metadata	8.7.0	None	Read metadata from Python packages
importlib_metadata	8.7.0	None	Read metadata from Python packages
importlib_resources	6.5.2	None	Read resources from Python packages
importlib_resources	6.5.2	None	Read resources from Python packages
iniconfig	2.0.0	None	brain-dead simple config-ini parsing
iniconfig	2.0.0	None	brain-dead simple config-ini parsing
itsdangerous	2.2.0	None	Safely pass data to untrusted environments and back.
itsdangerous	2.2.0	None	Safely pass data to untrusted environments and back.
Jinja2	3.1.5	None	A very fast and expressive template engine.
Jinja2	3.1.5	None	A very fast and expressive template engine.
joblib	1.4.2	None	Lightweight pipelining with Python functions
joblib	1.4.2	None	Lightweight pipelining with Python functions
kiwisolver	1.4.7	None	A fast implementation of the Cassowary constraint solver
kiwisolver	1.4.7	None	A fast implementation of the Cassowary constraint solver
linkify-it-py	2.0.3	None	Links recognition library with FULL unicode support.
linkify-it-py	2.0.3	None	Links recognition library with FULL unicode support.
llvmlite	0.43.0	http://llvmlite.readthedocs.io	lightweight wrapper around basic LLVM functionality
llvmlite	0.43.0	http://llvmlite.readthedocs.io	lightweight wrapper around basic LLVM functionality
markdown-it-py	3.0.0	None	Python port of markdown-it. Markdown parsing, done right!
markdown-it-py	3.0.0	None	Python port of markdown-it. Markdown parsing, done right!
MarkupSafe	3.0.2	None	Safely add untrusted strings to HTML/XML markup.
MarkupSafe	3.0.2	None	Safely add untrusted strings to HTML/XML markup.
matplotlib	3.9.4	None	Python plotting package
matplotlib	3.9.4	None	Python plotting package
mdit-py-plugins	0.4.2	None	Collection of plugins for markdown-it-py
mdit-py-plugins	0.4.2	None	Collection of plugins for markdown-it-py
mdurl	0.1.2	None	Markdown URL utilities
mdurl	0.1.2	None	Markdown URL utilities
mpmath	1.3.0	http://mpmath.org/	Python library for arbitrary-precision floating-point arithmetic
mpmath	1.3.0	http://mpmath.org/	Python library for arbitrary-precision floating-point arithmetic
multimethod	1.11.2	None	Multiple argument dispatching.
multimethod	1.11.2	None	Multiple argument dispatching.
mysql	0.0.3	https://github.com/valhallasw/virtual-mysql-pypi-package	Virtual package for MySQL-python
mysql	0.0.3	https://github.com/valhallasw/virtual-mysql-pypi-package	Virtual package for MySQL-python
mysql-connector-python	8.3.0	http://dev.mysql.com/doc/connector-python/en/index.html	MySQL driver written in Python
mysql-connector-python	8.3.0	http://dev.mysql.com/doc/connector-python/en/index.html	MySQL driver written in Python
mysqlclient	2.2.4	None	Python interface to MySQL
mysqlclient	2.2.4	None	Python interface to MySQL
networkx	3.2	None	Python package for creating and manipulating graphs and networks
networkx	3.2	None	Python package for creating and manipulating graphs and networks
nose	1.3.7	http://readthedocs.org/docs/nose/	nose extends unittest to make testing easier
nose	1.3.7	http://readthedocs.org/docs/nose/	nose extends unittest to make testing easier
numba	0.60.0	https://numba.pydata.org	compiling Python code using LLVM
numba	0.60.0	https://numba.pydata.org	compiling Python code using LLVM
numpy	1.26.4	https://numpy.org	Fundamental package for array computing in Python
numpy	1.26.4	https://numpy.org	Fundamental package for array computing in Python
nvidia-cublas-cu12	12.1.3.1	https://developer.nvidia.com/cuda-zone	CUBLAS native runtime libraries
nvidia-cublas-cu12	12.1.3.1	https://developer.nvidia.com/cuda-zone	CUBLAS native runtime libraries
nvidia-cuda-cupti-cu12	12.1.105	https://developer.nvidia.com/cuda-zone	CUDA profiling tools runtime libs.
nvidia-cuda-cupti-cu12	12.1.105	https://developer.nvidia.com/cuda-zone	CUDA profiling tools runtime libs.
nvidia-cuda-nvrtc-cu12	12.1.105	https://developer.nvidia.com/cuda-zone	NVRTC native runtime libraries
nvidia-cuda-nvrtc-cu12	12.1.105	https://developer.nvidia.com/cuda-zone	NVRTC native runtime libraries
nvidia-cuda-runtime-cu12	12.1.105	https://developer.nvidia.com/cuda-zone	CUDA Runtime native Libraries
nvidia-cuda-runtime-cu12	12.1.105	https://developer.nvidia.com/cuda-zone	CUDA Runtime native Libraries
nvidia-cudnn-cu12	8.9.2.26	https://developer.nvidia.com/cuda-zone	cuDNN runtime libraries
nvidia-cudnn-cu12	8.9.2.26	https://developer.nvidia.com/cuda-zone	cuDNN runtime libraries
nvidia-cufft-cu12	11.0.2.54	https://developer.nvidia.com/cuda-zone	CUFFT native runtime libraries
nvidia-cufft-cu12	11.0.2.54	https://developer.nvidia.com/cuda-zone	CUFFT native runtime libraries
nvidia-curand-cu12	10.3.2.106	https://developer.nvidia.com/cuda-zone	CURAND native runtime libraries
nvidia-curand-cu12	10.3.2.106	https://developer.nvidia.com/cuda-zone	CURAND native runtime libraries
nvidia-cusolver-cu12	11.4.5.107	https://developer.nvidia.com/cuda-zone	CUDA solver native runtime libraries
nvidia-cusolver-cu12	11.4.5.107	https://developer.nvidia.com/cuda-zone	CUDA solver native runtime libraries
nvidia-cusparse-cu12	12.1.0.106	https://developer.nvidia.com/cuda-zone	CUSPARSE native runtime libraries
nvidia-cusparse-cu12	12.1.0.106	https://developer.nvidia.com/cuda-zone	CUSPARSE native runtime libraries
nvidia-nccl-cu12	2.19.3	https://developer.nvidia.com/cuda-zone	NVIDIA Collective Communication Library (NCCL) Runtime
nvidia-nccl-cu12	2.19.3	https://developer.nvidia.com/cuda-zone	NVIDIA Collective Communication Library (NCCL) Runtime
nvidia-nvjitlink-cu12	12.9.86	https://developer.nvidia.com/cuda-zone	Nvidia JIT LTO Library
nvidia-nvjitlink-cu12	12.9.86	https://developer.nvidia.com/cuda-zone	Nvidia JIT LTO Library
nvidia-nvtx-cu12	12.1.105	https://developer.nvidia.com/cuda-zone	NVIDIA Tools Extension
nvidia-nvtx-cu12	12.1.105	https://developer.nvidia.com/cuda-zone	NVIDIA Tools Extension
packaging	25.0	None	Core utilities for Python packages
packaging	25.0	None	Core utilities for Python packages
pandas	2.3.3	None	Powerful data structures for data analysis, time series, and statistics
pandas	2.3.3	None	Powerful data structures for data analysis, time series, and statistics
patsy	0.5.6	https://github.com/pydata/patsy	A Python package for describing statistical models and for building design matrices.
patsy	0.5.6	https://github.com/pydata/patsy	A Python package for describing statistical models and for building design matrices.
pillow	11.3.0	None	Python Imaging Library (Fork)
pillow	11.3.0	None	Python Imaging Library (Fork)
pip	25.3	None	The PyPA recommended tool for installing Python packages.
pip	25.3	None	The PyPA recommended tool for installing Python packages.
pipenv	2023.12.1	None	Python Development Workflow for Humans.
pipenv	2023.12.1	None	Python Development Workflow for Humans.
platformdirs	4.2.0	None	A small Python package for determining appropriate platform-specific dirs, e.g. a "user data dir".
platformdirs	4.2.0	None	A small Python package for determining appropriate platform-specific dirs, e.g. a "user data dir".
pluggy	1.4.0	https://github.com/pytest-dev/pluggy	plugin and hook calling mechanisms for python
pluggy	1.4.0	https://github.com/pytest-dev/pluggy	plugin and hook calling mechanisms for python
pomegranate	1.1.2	https://github.com/jmschrei/torchegranate	A PyTorch implementation of probabilistic models.
pomegranate	1.1.2	https://github.com/jmschrei/torchegranate	A PyTorch implementation of probabilistic models.
prompt-toolkit	3.0.36	https://github.com/prompt-toolkit/python-prompt-toolkit	Library for building powerful interactive command lines in Python
prompt-toolkit	3.0.36	https://github.com/prompt-toolkit/python-prompt-toolkit	Library for building powerful interactive command lines in Python
pyarrow	21.0.0	None	Python library for Apache Arrow
pyarrow	21.0.0	None	Python library for Apache Arrow
Pygments	2.19.2	None	Pygments is a syntax highlighting package written in Python.
Pygments	2.19.2	None	Pygments is a syntax highlighting package written in Python.
pyparsing	3.2.5	None	pyparsing - Classes and methods to define and execute parsing grammars
pyparsing	3.2.5	None	pyparsing - Classes and methods to define and execute parsing grammars
pyperclip	1.11.0	None	A cross-platform clipboard module for Python. (Only handles plain text for now.)
pyperclip	1.11.0	None	A cross-platform clipboard module for Python. (Only handles plain text for now.)
pytesseract	0.3.10	https://github.com/madmaze/pytesseract	Python-tesseract is a python wrapper for Google's Tesseract-OCR
pytesseract	0.3.10	https://github.com/madmaze/pytesseract	Python-tesseract is a python wrapper for Google's Tesseract-OCR
pytest	8.1.1	None	pytest: simple powerful testing with Python
pytest	8.1.1	None	pytest: simple powerful testing with Python
python-dateutil	2.8.2	https://github.com/dateutil/dateutil	Extensions to the standard Python datetime module
python-dateutil	2.8.2	https://github.com/dateutil/dateutil	Extensions to the standard Python datetime module
pytz	2024.1	http://pythonhosted.org/pytz	World timezone definitions, modern and historical
pytz	2024.1	http://pythonhosted.org/pytz	World timezone definitions, modern and historical
questionary	2.0.1	https://github.com/tmbo/questionary	Python library to build pretty command line user prompts ⭐️
questionary	2.0.1	https://github.com/tmbo/questionary	Python library to build pretty command line user prompts ⭐️
requests	2.31.0	https://requests.readthedocs.io	Python HTTP for Humans.
requests	2.31.0	https://requests.readthedocs.io	Python HTTP for Humans.
rich	14.2.0	None	Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal
rich	14.2.0	None	Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal
rich-click	1.8.5	None	Format click help output nicely with rich
rich-click	1.8.5	None	Format click help output nicely with rich
schedule	1.2.1	https://github.com/dbader/schedule	Job scheduling for humans.
schedule	1.2.1	https://github.com/dbader/schedule	Job scheduling for humans.
scikit-learn	1.6.0	None	A set of python modules for machine learning and data mining
scikit-learn	1.6.0	None	A set of python modules for machine learning and data mining
scipy	1.13.1	https://scipy.org/	Fundamental algorithms for scientific computing in Python
scipy	1.13.1	https://scipy.org/	Fundamental algorithms for scientific computing in Python
setuptools	69.2.0	https://github.com/pypa/setuptools	Easily download, build, install, upgrade, and uninstall Python packages
setuptools	69.2.0	https://github.com/pypa/setuptools	Easily download, build, install, upgrade, and uninstall Python packages
shandy-sqlfmt	0.28.2	None	sqlfmt formats your dbt SQL files so you don't have to.
shandy-sqlfmt	0.28.2	None	sqlfmt formats your dbt SQL files so you don't have to.
six	1.17.0	https://github.com/benjaminp/six	Python 2 and 3 compatibility utilities
six	1.17.0	https://github.com/benjaminp/six	Python 2 and 3 compatibility utilities
sympy	1.14.0	https://sympy.org	Computer algebra system (CAS) in Python
sympy	1.14.0	https://sympy.org	Computer algebra system (CAS) in Python
textual	0.89.1	https://github.com/Textualize/textual	Modern Text User Interface framework
textual	0.89.1	https://github.com/Textualize/textual	Modern Text User Interface framework
textual-fastdatatable	0.12.0	None	A performance-focused reimplementation of Textual's DataTable widget, with a pluggable data storage backend.
textual-fastdatatable	0.12.0	None	A performance-focused reimplementation of Textual's DataTable widget, with a pluggable data storage backend.
textual-textarea	0.15.0	https://github.com/tconbeer/textual-textarea	A text area (multi-line input) with syntax highlighting for Textual
textual-textarea	0.15.0	https://github.com/tconbeer/textual-textarea	A text area (multi-line input) with syntax highlighting for Textual
threadpoolctl	3.6.0	https://github.com/joblib/threadpoolctl	threadpoolctl
threadpoolctl	3.6.0	https://github.com/joblib/threadpoolctl	threadpoolctl
tomli	2.3.0	None	A lil' TOML parser
tomli	2.3.0	None	A lil' TOML parser
tomlkit	0.13.3	None	Style preserving TOML library
tomlkit	0.13.3	None	Style preserving TOML library
torch	2.2.2	https://pytorch.org/	Tensors and Dynamic neural networks in Python with strong GPU acceleration
torch	2.2.2	https://pytorch.org/	Tensors and Dynamic neural networks in Python with strong GPU acceleration
tqdm	4.67.1	None	Fast, Extensible Progress Meter
tqdm	4.67.1	None	Fast, Extensible Progress Meter
tree-sitter	0.23.2	None	Python bindings to the Tree-sitter parsing library
tree-sitter	0.23.2	None	Python bindings to the Tree-sitter parsing library
tree-sitter-bash	0.23.3	None	Bash grammar for tree-sitter
tree-sitter-bash	0.23.3	None	Bash grammar for tree-sitter
tree-sitter-css	0.23.2	None	CSS grammar for tree-sitter
tree-sitter-css	0.23.2	None	CSS grammar for tree-sitter
tree-sitter-go	0.23.4	None	Go grammar for tree-sitter
tree-sitter-go	0.23.4	None	Go grammar for tree-sitter
tree-sitter-html	0.23.2	None	HTML grammar for tree-sitter
tree-sitter-html	0.23.2	None	HTML grammar for tree-sitter
tree-sitter-java	0.23.5	None	Java grammar for tree-sitter
tree-sitter-java	0.23.5	None	Java grammar for tree-sitter
tree-sitter-javascript	0.23.1	None	JavaScript grammar for tree-sitter
tree-sitter-javascript	0.23.1	None	JavaScript grammar for tree-sitter
tree-sitter-json	0.24.8	None	JSON grammar for tree-sitter
tree-sitter-json	0.24.8	None	JSON grammar for tree-sitter
tree-sitter-markdown	0.5.1	None	Markdown grammar for tree-sitter
tree-sitter-markdown	0.5.1	None	Markdown grammar for tree-sitter
tree-sitter-python	0.23.6	None	Python grammar for tree-sitter
tree-sitter-python	0.23.6	None	Python grammar for tree-sitter
tree-sitter-regex	0.24.3	None	Regex grammar for tree-sitter
tree-sitter-regex	0.24.3	None	Regex grammar for tree-sitter
tree-sitter-rust	0.24.0	None	Rust grammar for tree-sitter
tree-sitter-rust	0.24.0	None	Rust grammar for tree-sitter
tree-sitter-sql	0.3.7	None	Tree-sitter Grammar for SQL
tree-sitter-sql	0.3.7	None	Tree-sitter Grammar for SQL
tree-sitter-toml	0.7.0	None	TOML grammar for tree-sitter
tree-sitter-toml	0.7.0	None	TOML grammar for tree-sitter
tree-sitter-xml	0.7.0	None	XML & DTD grammars for tree-sitter
tree-sitter-xml	0.7.0	None	XML & DTD grammars for tree-sitter
tree-sitter-yaml	0.7.0	None	YAML grammar for tree-sitter
tree-sitter-yaml	0.7.0	None	YAML grammar for tree-sitter
triton	2.2.0	https://github.com/openai/triton/	A language and compiler for custom Deep Learning operations
triton	2.2.0	https://github.com/openai/triton/	A language and compiler for custom Deep Learning operations
typing_extensions	4.12.2	None	Backported and Experimental Type Hints for Python 3.8+
typing_extensions	4.12.2	None	Backported and Experimental Type Hints for Python 3.8+
tzdata	2024.1	https://github.com/python/tzdata	Provider of IANA time zone data
tzdata	2024.1	https://github.com/python/tzdata	Provider of IANA time zone data
uc-micro-py	1.0.3	None	Micro subset of unicode data files for linkify-it-py projects.
uc-micro-py	1.0.3	None	Micro subset of unicode data files for linkify-it-py projects.
umsg	1.0.4	UNKNOWN	_msg Library Logging
umsg	1.0.4	UNKNOWN	_msg Library Logging
urllib3	2.2.1	None	HTTP library with thread-safe connection pooling, file post, and more.
urllib3	2.2.1	None	HTTP library with thread-safe connection pooling, file post, and more.
virtualenv	20.25.1	None	Virtual Python Environment builder
virtualenv	20.25.1	None	Virtual Python Environment builder
visidata	3.3	https://visidata.org	terminal interface for exploring and arranging tabular data
visidata	3.3	https://visidata.org	terminal interface for exploring and arranging tabular data
visitor	0.1.3	http://github.com/mbr/visitor	A tiny pythonic visitor implementation.
visitor	0.1.3	http://github.com/mbr/visitor	A tiny pythonic visitor implementation.
wcwidth	0.2.14	https://github.com/jquast/wcwidth	Measures the displayed width of unicode strings in a terminal
wcwidth	0.2.14	https://github.com/jquast/wcwidth	Measures the displayed width of unicode strings in a terminal
Werkzeug	3.1.4	None	The comprehensive WSGI web application library.
Werkzeug	3.1.4	None	The comprehensive WSGI web application library.
WTForms	3.2.1	None	Form validation and rendering for Python web development.
WTForms	3.2.1	None	Form validation and rendering for Python web development.
zipp	3.23.0	None	Backport of pathlib-compatible object wrapper for zip files
zipp	3.23.0	None	Backport of pathlib-compatible object wrapper for zip files

Resource Usage

Resource	Value
User CPU time	4.751 msec
System CPU time	0.000 msec
Total CPU time	4.751 msec
Elapsed time	4.761 msec
Context switches	0 voluntary, 0 involuntary

HTTP Headers

Key	Value
HTTP_ACCEPT	/
HTTP_ACCEPT_ENCODING	gzip, br, zstd, deflate
HTTP_CONNECTION	close
HTTP_HOST	keno.beallit.com
HTTP_USER_AGENT	Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)
QUERY_STRING
REMOTE_ADDR
REQUEST_METHOD	GET
SCRIPT_NAME
SERVER_NAME	keno.beallit.com
SERVER_PORT	443
SERVER_PROTOCOL	HTTP/1.0
SERVER_SOFTWARE	gunicorn/23.0.0

Request Vars

View information

View Function	kwargs
rest_calls.keno_clustering	None

COOKIES Variables

Variable	Value

SESSION Variables

No SESSION data

GET Variables

Variable	Value

POST Variables

Variable	Value

Config

Key	Value
APPLICATION_ROOT	`'/'`
BOOTSTRAP_CDN_FORCE_SSL	`False`
BOOTSTRAP_LOCAL_SUBDOMAIN	`None`
BOOTSTRAP_QUERYSTRING_REVVING	`True`
BOOTSTRAP_SERVE_LOCAL	`False`
BOOTSTRAP_USE_MINIFIED	`True`
DEBUG	`True`
DEBUG_TB_ENABLED	`True`
DEBUG_TB_HOSTS	`()`
DEBUG_TB_INTERCEPT_REDIRECTS	`True`
DEBUG_TB_PANELS	('flask_debugtoolbar.panels.versions.VersionDebugPanel', 'flask_debugtoolbar.panels.timer.TimerDebugPanel', 'flask_debugtoolbar.panels.headers.HeaderDebugPanel', 'flask_debugtoolbar.panels.request_vars.RequestVarsDebugPanel', 'flask_debugtoolbar.panels.config_vars.ConfigVarsDebugPanel', 'flask_debugtoolbar.panels.template.TemplateDebugPanel', 'flask_debugtoolbar.panels.sqlalchemy.SQLAlchemyDebugPanel', 'flask_debugtoolbar.panels.logger.LoggingPanel', 'flask_debugtoolbar.panels.route_list.RouteListDebugPanel', 'flask_debugtoolbar.panels.profiler.ProfilerDebugPanel', 'flask_debugtoolbar.panels.g.GDebugPanel')
DEBUG_TB_ROUTES_HOST	`None`
EXPLAIN_TEMPLATE_LOADING	`False`
MAX_CONTENT_LENGTH	`None`
MAX_COOKIE_SIZE	`4093`
MAX_FORM_MEMORY_SIZE	`500000`
MAX_FORM_PARTS	`1000`
PERMANENT_SESSION_LIFETIME	`3600`
PREFERRED_URL_SCHEME	`'http'`
PROPAGATE_EXCEPTIONS	`None`
PROVIDE_AUTOMATIC_OPTIONS	`True`
SECRET_KEY	`'f480de0b45a51dedcacb9a6db76bfab81c6ccdd78536d5a4'`
SECRET_KEY_FALLBACKS	`None`
SEND_FILE_MAX_AGE_DEFAULT	`None`
SERVER_NAME	`None`
SESSION_COOKIE_DOMAIN	`None`
SESSION_COOKIE_HTTPONLY	`True`
SESSION_COOKIE_NAME	`'session'`
SESSION_COOKIE_PARTITIONED	`False`
SESSION_COOKIE_PATH	`None`
SESSION_COOKIE_SAMESITE	`None`
SESSION_COOKIE_SECURE	`False`
SESSION_REFRESH_EACH_REQUEST	`True`
SQLALCHEMY_RECORD_QUERIES	`True`
TEMPLATES_AUTO_RELOAD	`None`
TESTING	`False`
TRAP_BAD_REQUEST_ERRORS	`None`
TRAP_HTTP_EXCEPTIONS	`False`
TRUSTED_HOSTS	`None`
USE_X_SENDFILE	`False`

Templates

keno_clustering.html

Variable	Value
clustering_results	{'clusters_per_draw': [[[8, 9], [14, 15], [18, 19], [38, 39], [65, 66]], [[2, 3], [14, 15], [19, 20], [35, 36], [48, 49], [77, 78]], [[30, 31], [56, 57], [73, 74]], [[21, 22, 23], [67, 68], [75, 76]], [[2, 3], [6, 7], [43, 44, 45, 46], [70, 71]], [[46, 47], [59, 60], [69, 70], [72, 73]], [[28, 29], [43, 44], [55, 56], [72, 73]], [[5, 6], [25, 26]], [[20, 21], [43, 44], [62, 63], [68, 69], [79, 80]], [[11, 12, 13, 14], [17, 18, 19], [57, 58]], [[3, 4, 5, 6], [14, 15], [26, 27], [48, 49]], [[32, 33, 34], [71, 72]], [[7, 8, 9], [11, 12], [54, 55], [58, 59]], [[4, 5, 6], [10, 11], [24, 25], [44, 45], [59, 60]], [[10, 11], [43, 44], [46, 47], [63, 64]], [[4, 5], [21, 22], [60, 61], [63, 64]], [[5, 6], [18, 19], [32, 33], [58, 59], [71, 72, 73]], [[22, 23], [41, 42, 43], [53, 54], [61, 62]], [[7, 8], [79, 80]], [[1, 2, 3, 4], [51, 52], [70, 71]]], 'cluster_frequencies': [([14, 15], 3), ([43, 44], 3), ([2, 3], 2), ([5, 6], 2), ([10, 11], 2), ([18, 19], 2), ([46, 47], 2), ([48, 49], 2), ([58, 59], 2), ([59, 60], 2), ([63, 64], 2), ([70, 71], 2), ([72, 73], 2), ([79, 80], 2), ([1, 2, 3, 4], 1), ([3, 4, 5, 6], 1), ([4, 5], 1), ([4, 5, 6], 1), ([6, 7], 1), ([7, 8], 1), ([7, 8, 9], 1), ([8, 9], 1), ([11, 12], 1), ([11, 12, 13, 14], 1), ([17, 18, 19], 1), ([19, 20], 1), ([20, 21], 1), ([21, 22], 1), ([21, 22, 23], 1), ([22, 23], 1), ([24, 25], 1), ([25, 26], 1), ([26, 27], 1), ([28, 29], 1), ([30, 31], 1), ([32, 33], 1), ([32, 33, 34], 1), ([35, 36], 1), ([38, 39], 1), ([41, 42, 43], 1), ([43, 44, 45, 46], 1), ([44, 45], 1), ([51, 52], 1), ([53, 54], 1), ([54, 55], 1), ([55, 56], 1), ([56, 57], 1), ([57, 58], 1), ([60, 61], 1), ([61, 62], 1), ([62, 63], 1), ([65, 66], 1), ([67, 68], 1), ([68, 69], 1), ([69, 70], 1), ([71, 72], 1), ([71, 72, 73], 1), ([73, 74], 1), ([75, 76], 1), ([77, 78], 1)], 'cluster_draws': {'[8, 9]': [0], '[14, 15]': [0, 1, 10], '[18, 19]': [0, 16], '[38, 39]': [0], '[65, 66]': [0], '[2, 3]': [1, 4], '[19, 20]': [1], '[35, 36]': [1], '[48, 49]': [1, 10], '[77, 78]': [1], '[30, 31]': [2], '[56, 57]': [2], '[73, 74]': [2], '[21, 22, 23]': [3], '[67, 68]': [3], '[75, 76]': [3], '[6, 7]': [4], '[43, 44, 45, 46]': [4], '[70, 71]': [4, 19], '[46, 47]': [5, 14], '[59, 60]': [5, 13], '[69, 70]': [5], '[72, 73]': [5, 6], '[28, 29]': [6], '[43, 44]': [6, 8, 14], '[55, 56]': [6], '[5, 6]': [7, 16], '[25, 26]': [7], '[20, 21]': [8], '[62, 63]': [8], '[68, 69]': [8], '[79, 80]': [8, 18], '[11, 12, 13, 14]': [9], '[17, 18, 19]': [9], '[57, 58]': [9], '[3, 4, 5, 6]': [10], '[26, 27]': [10], '[32, 33, 34]': [11], '[71, 72]': [11], '[7, 8, 9]': [12], '[11, 12]': [12], '[54, 55]': [12], '[58, 59]': [12, 16], '[4, 5, 6]': [13], '[10, 11]': [13, 14], '[24, 25]': [13], '[44, 45]': [13], '[63, 64]': [14, 15], '[4, 5]': [15], '[21, 22]': [15], '[60, 61]': [15], '[32, 33]': [16], '[71, 72, 73]': [16], '[22, 23]': [17], '[41, 42, 43]': [17], '[53, 54]': [17], '[61, 62]': [17], '[7, 8]': [18], '[1, 2, 3, 4]': [19], '[51, 52]': [19]}, 'draws_with_clusters': [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], 'draws_without_clusters': [], 'range_summary': {'1-10': 14, '11-20': 10, '21-30': 8, '31-40': 4, '41-50': 10, '51-60': 11, '61-70': 10, '71-80': 9}, 'summary': {'total_clusters': 76, 'cluster_sizes': {2: 65, 3: 7, 4: 4}, 'average_clusters_per_draw': 3.8}}
datetime	<module 'datetime' from '/usr/lib64/python3.9/datetime.py'>
default_min_cluster_size	2
default_min_freq	1
default_num_draws	20
default_num_from_bottom	0
draws	['5,8,9,14,15,18,19,31,34,38,39,45,50,59,61,65,66,70,72,78', '2,3,5,14,15,17,19,20,24,27,32,35,36,48,49,58,69,75,77,78', '12,18,23,30,31,36,40,42,44,51,53,56,57,61,63,67,69,73,74,78', '5,12,15,19,21,22,23,27,29,31,35,37,40,43,57,67,68,73,75,76', '2,3,6,7,10,16,20,23,36,40,43,44,45,46,54,59,66,70,71,75', '8,15,21,25,29,43,46,47,51,55,57,59,60,64,69,70,72,73,77,80', '6,12,16,21,25,28,29,31,33,35,43,44,53,55,56,61,64,66,72,73', '3,5,6,9,21,23,25,26,28,31,33,41,45,47,52,58,69,71,76,80', '15,20,21,24,30,33,35,41,43,44,46,48,60,62,63,68,69,75,79,80', '5,11,12,13,14,17,18,19,24,29,32,36,38,40,42,44,53,57,58,61', '3,4,5,6,14,15,26,27,37,40,48,49,51,53,62,67,70,72,74,78', '8,12,18,21,30,32,33,34,36,42,54,57,61,65,67,71,72,75,77,79', '7,8,9,11,12,14,20,22,25,35,39,48,51,54,55,58,59,67,73,75', '4,5,6,10,11,18,21,24,25,28,32,36,40,44,45,51,59,60,64,69', '4,6,10,11,13,16,25,32,36,43,44,46,47,49,58,63,64,69,73,80', '2,4,5,11,14,17,21,22,29,31,36,48,50,58,60,61,63,64,67,71', '3,5,6,16,18,19,29,32,33,37,41,51,58,59,61,63,71,72,73,79', '9,12,20,22,23,27,32,34,41,42,43,46,49,53,54,58,61,62,73,76', '5,7,8,15,17,19,22,34,37,41,43,47,51,53,58,66,71,75,79,80', '1,2,3,4,8,12,18,25,31,34,38,48,51,52,61,66,70,71,74,80']
error_message	None
g	<flask.g of 'rest_calls'>
get_time_hhmi	<function get_time_hhmi at 0x7f20dbae79d0>
keno	<keno.Keno object at 0x7f20da4fd7c0>
request	<Request 'https://keno.beallit.com/keno_clustering' [GET]>
round	<built-in function round>
session	<SecureCookieSession {}>
str	<class 'str'>

SQLAlchemy queries

Queries Unavailable

The toolbar was unable to fetch the SQLAlchemy queries for this request. To enable the SQLAlchemy query display, please:

Install required libraries:
- Flask-SQLAlchemy
Configure Flask-SQLAlchemy:

The Flask-SQLAlchemy extension needs to be configured for this application. Please see the Flask-SQLAlchemy documentation for details.

Log Messages

Level	Time	Message	Location
DEBUG	2026-02-14 03:40:52.063154	keno_clustering: Request vars: {'clustering_results': None, 'default_min_cluster_size': 2, 'default_min_freq': 1, 'default_num_draws': 20, 'default_num_from_bottom': 0, 'draws': [], 'error_message': None}	./rest_calls.py:637
DEBUG	2026-02-14 03:40:52.063211	keno_clustering: Handling GET request	./rest_calls.py:640
DEBUG	2026-02-14 03:40:52.063389	setting end_game_num = None	./keno.py:448
DEBUG	2026-02-14 03:40:52.063612	setting tmp_output_file_name=output.csv	./keno.py:427
DEBUG	2026-02-14 03:40:52.063639	test_db_name set to keno_test	./keno.py:376
INFO	2026-02-14 03:40:52.063665	setting num_games_to_process=20	./keno.py:419
DEBUG	2026-02-14 03:40:52.063684	{'self': <keno.Keno object at 0x7f20da4fd4f0>}	./keno.py:328
DEBUG	2026-02-14 03:40:52.063721	{'p_num_games_to_play': 20, 'p_num_from_bottom': 0, 'keno': <keno.Keno object at 0x7f20da4fd4f0>}	./keno_analytics.py:269
DEBUG	2026-02-14 03:40:52.063745	{'self': <keno.Keno object at 0x7f20da4fd4f0>, 'query': '\nSELECT draw_num_1,\n draw_num_2,\n draw_num_3 ,\n draw_num_4,\n draw_num_5,\n draw_num_6,\n draw_num_7,\n draw_num_8,\n draw_num_9,\n draw_num_10,\n draw_num_11,\n draw_num_12,\n draw_num_13,\n draw_num_14,\n draw_num_15,\n draw_num_16,\n draw_num_17,\n draw_num_18,\n draw_num_19,\n draw_num_20\nFROM keno_games_tbl \nWHERE draw_number > (SELECT max(draw_number) - ? FROM keno_games_tbl)\nORDER BY draw_number desc\n', 'return_json': False, 'p_data': (20,)}	./keno.py:661
DEBUG	2026-02-14 03:40:52.063797	Trying to connect to database file: keno_test.db	./utils.py:53
DEBUG	2026-02-14 03:40:52.063952	Download: http://sqlitebrowser.org to view tables	./utils.py:55
DEBUG	2026-02-14 03:40:52.064008	DB path file:///home/keno/keno/keno_test.db	./utils.py:56
DEBUG	2026-02-14 03:40:52.064032	setting parameters to: p_data = (20,)	./keno.py:672
DEBUG	2026-02-14 03:40:52.064440	rows fetched=20	./keno.py:679
DEBUG	2026-02-14 03:40:52.064513	p_num_from_bottom=0 p_num_balls_to_play=20	./keno_analytics.py:276
DEBUG	2026-02-14 03:40:52.064738	Rows [(5, 8, 9, 14, 15, 18, 19, 31, 34, 38, 39, 45, 50, 59, 61, 65, 66, 70, 72, 78), (2, 3, 5, 14, 15, 17, 19, 20, 24, 27, 32, 35, 36, 48, 49, 58, 69, 75, 77, 78), (12, 18, 23, 30, 31, 36, 40, 42, 44, 51, 53, 56, 57, 61, 63, 67, 69, 73, 74, 78), (5, 12, 15, 19, 21, 22, 23, 27, 29, 31, 35, 37, 40, 43, 57, 67, 68, 73, 75, 76), (2, 3, 6, 7, 10, 16, 20, 23, 36, 40, 43, 44, 45, 46, 54, 59, 66, 70, 71, 75), (8, 15, 21, 25, 29, 43, 46, 47, 51, 55, 57, 59, 60, 64, 69, 70, 72, 73, 77, 80), (6, 12, 16, 21, 25, 28, 29, 31, 33, 35, 43, 44, 53, 55, 56, 61, 64, 66, 72, 73), (3, 5, 6, 9, 21, 23, 25, 26, 28, 31, 33, 41, 45, 47, 52, 58, 69, 71, 76, 80), (15, 20, 21, 24, 30, 33, 35, 41, 43, 44, 46, 48, 60, 62, 63, 68, 69, 75, 79, 80), (5, 11, 12, 13, 14, 17, 18, 19, 24, 29, 32, 36, 38, 40, 42, 44, 53, 57, 58, 61), (3, 4, 5, 6, 14, 15, 26, 27, 37, 40, 48, 49, 51, 53, 62, 67, 70, 72, 74, 78), (8, 12, 18, 21, 30, 32, 33, 34, 36, 42, 54, 57, 61, 65, 67, 71, 72, 75, 77, 79), (7, 8, 9, 11, 12, 14, 20, 22, 25, 35, 39, 48, 51, 54, 55, 58, 59, 67, 73, 75), (4, 5, 6, 10, 11, 18, 21, 24, 25, 28, 32, 36, 40, 44, 45, 51, 59, 60, 64, 69), (4, 6, 10, 11, 13, 16, 25, 32, 36, 43, 44, 46, 47, 49, 58, 63, 64, 69, 73, 80), (2, 4, 5, 11, 14, 17, 21, 22, 29, 31, 36, 48, 50, 58, 60, 61, 63, 64, 67, 71), (3, 5, 6, 16, 18, 19, 29, 32, 33, 37, 41, 51, 58, 59, 61, 63, 71, 72, 73, 79), (9, 12, 20, 22, 23, 27, 32, 34, 41, 42, 43, 46, 49, 53, 54, 58, 61, 62, 73, 76), (5, 7, 8, 15, 17, 19, 22, 34, 37, 41, 43, 47, 51, 53, 58, 66, 71, 75, 79, 80), (1, 2, 3, 4, 8, 12, 18, 25, 31, 34, 38, 48, 51, 52, 61, 66, 70, 71, 74, 80)]	./keno_analytics.py:277
DEBUG	2026-02-14 03:40:52.064968	keno_clustering GET: Fetched draws: [(5, 8, 9, 14, 15, 18, 19, 31, 34, 38, 39, 45, 50, 59, 61, 65, 66, 70, 72, 78), (2, 3, 5, 14, 15, 17, 19, 20, 24, 27, 32, 35, 36, 48, 49, 58, 69, 75, 77, 78), (12, 18, 23, 30, 31, 36, 40, 42, 44, 51, 53, 56, 57, 61, 63, 67, 69, 73, 74, 78), (5, 12, 15, 19, 21, 22, 23, 27, 29, 31, 35, 37, 40, 43, 57, 67, 68, 73, 75, 76), (2, 3, 6, 7, 10, 16, 20, 23, 36, 40, 43, 44, 45, 46, 54, 59, 66, 70, 71, 75), (8, 15, 21, 25, 29, 43, 46, 47, 51, 55, 57, 59, 60, 64, 69, 70, 72, 73, 77, 80), (6, 12, 16, 21, 25, 28, 29, 31, 33, 35, 43, 44, 53, 55, 56, 61, 64, 66, 72, 73), (3, 5, 6, 9, 21, 23, 25, 26, 28, 31, 33, 41, 45, 47, 52, 58, 69, 71, 76, 80), (15, 20, 21, 24, 30, 33, 35, 41, 43, 44, 46, 48, 60, 62, 63, 68, 69, 75, 79, 80), (5, 11, 12, 13, 14, 17, 18, 19, 24, 29, 32, 36, 38, 40, 42, 44, 53, 57, 58, 61), (3, 4, 5, 6, 14, 15, 26, 27, 37, 40, 48, 49, 51, 53, 62, 67, 70, 72, 74, 78), (8, 12, 18, 21, 30, 32, 33, 34, 36, 42, 54, 57, 61, 65, 67, 71, 72, 75, 77, 79), (7, 8, 9, 11, 12, 14, 20, 22, 25, 35, 39, 48, 51, 54, 55, 58, 59, 67, 73, 75), (4, 5, 6, 10, 11, 18, 21, 24, 25, 28, 32, 36, 40, 44, 45, 51, 59, 60, 64, 69), (4, 6, 10, 11, 13, 16, 25, 32, 36, 43, 44, 46, 47, 49, 58, 63, 64, 69, 73, 80), (2, 4, 5, 11, 14, 17, 21, 22, 29, 31, 36, 48, 50, 58, 60, 61, 63, 64, 67, 71), (3, 5, 6, 16, 18, 19, 29, 32, 33, 37, 41, 51, 58, 59, 61, 63, 71, 72, 73, 79), (9, 12, 20, 22, 23, 27, 32, 34, 41, 42, 43, 46, 49, 53, 54, 58, 61, 62, 73, 76), (5, 7, 8, 15, 17, 19, 22, 34, 37, 41, 43, 47, 51, 53, 58, 66, 71, 75, 79, 80), (1, 2, 3, 4, 8, 12, 18, 25, 31, 34, 38, 48, 51, 52, 61, 66, 70, 71, 74, 80)]	./rest_calls.py:643
DEBUG	2026-02-14 03:40:52.065311	keno_clustering GET: Draws for template: ['5,8,9,14,15,18,19,31,34,38,39,45,50,59,61,65,66,70,72,78', '2,3,5,14,15,17,19,20,24,27,32,35,36,48,49,58,69,75,77,78', '12,18,23,30,31,36,40,42,44,51,53,56,57,61,63,67,69,73,74,78', '5,12,15,19,21,22,23,27,29,31,35,37,40,43,57,67,68,73,75,76', '2,3,6,7,10,16,20,23,36,40,43,44,45,46,54,59,66,70,71,75', '8,15,21,25,29,43,46,47,51,55,57,59,60,64,69,70,72,73,77,80', '6,12,16,21,25,28,29,31,33,35,43,44,53,55,56,61,64,66,72,73', '3,5,6,9,21,23,25,26,28,31,33,41,45,47,52,58,69,71,76,80', '15,20,21,24,30,33,35,41,43,44,46,48,60,62,63,68,69,75,79,80', '5,11,12,13,14,17,18,19,24,29,32,36,38,40,42,44,53,57,58,61', '3,4,5,6,14,15,26,27,37,40,48,49,51,53,62,67,70,72,74,78', '8,12,18,21,30,32,33,34,36,42,54,57,61,65,67,71,72,75,77,79', '7,8,9,11,12,14,20,22,25,35,39,48,51,54,55,58,59,67,73,75', '4,5,6,10,11,18,21,24,25,28,32,36,40,44,45,51,59,60,64,69', '4,6,10,11,13,16,25,32,36,43,44,46,47,49,58,63,64,69,73,80', '2,4,5,11,14,17,21,22,29,31,36,48,50,58,60,61,63,64,67,71', '3,5,6,16,18,19,29,32,33,37,41,51,58,59,61,63,71,72,73,79', '9,12,20,22,23,27,32,34,41,42,43,46,49,53,54,58,61,62,73,76', '5,7,8,15,17,19,22,34,37,41,43,47,51,53,58,66,71,75,79,80', '1,2,3,4,8,12,18,25,31,34,38,48,51,52,61,66,70,71,74,80']	./rest_calls.py:648
DEBUG	2026-02-14 03:40:52.065392	keno_clustering: Rendering with draws: ['5,8,9,14,15,18,19,31,34,38,39,45,50,59,61,65,66,70,72,78', '2,3,5,14,15,17,19,20,24,27,32,35,36,48,49,58,69,75,77,78', '12,18,23,30,31,36,40,42,44,51,53,56,57,61,63,67,69,73,74,78', '5,12,15,19,21,22,23,27,29,31,35,37,40,43,57,67,68,73,75,76', '2,3,6,7,10,16,20,23,36,40,43,44,45,46,54,59,66,70,71,75', '8,15,21,25,29,43,46,47,51,55,57,59,60,64,69,70,72,73,77,80', '6,12,16,21,25,28,29,31,33,35,43,44,53,55,56,61,64,66,72,73', '3,5,6,9,21,23,25,26,28,31,33,41,45,47,52,58,69,71,76,80', '15,20,21,24,30,33,35,41,43,44,46,48,60,62,63,68,69,75,79,80', '5,11,12,13,14,17,18,19,24,29,32,36,38,40,42,44,53,57,58,61', '3,4,5,6,14,15,26,27,37,40,48,49,51,53,62,67,70,72,74,78', '8,12,18,21,30,32,33,34,36,42,54,57,61,65,67,71,72,75,77,79', '7,8,9,11,12,14,20,22,25,35,39,48,51,54,55,58,59,67,73,75', '4,5,6,10,11,18,21,24,25,28,32,36,40,44,45,51,59,60,64,69', '4,6,10,11,13,16,25,32,36,43,44,46,47,49,58,63,64,69,73,80', '2,4,5,11,14,17,21,22,29,31,36,48,50,58,60,61,63,64,67,71', '3,5,6,16,18,19,29,32,33,37,41,51,58,59,61,63,71,72,73,79', '9,12,20,22,23,27,32,34,41,42,43,46,49,53,54,58,61,62,73,76', '5,7,8,15,17,19,22,34,37,41,43,47,51,53,58,66,71,75,79,80', '1,2,3,4,8,12,18,25,31,34,38,48,51,52,61,66,70,71,74,80']	./rest_calls.py:706
DEBUG	2026-02-14 03:40:52.066430	keno_clustering: Clustering results: {'cluster_draws': {'[1, 2, 3, 4]': [19], '[10, 11]': [13, 14], '[11, 12, 13, 14]': [9], '[11, 12]': [12], '[14, 15]': [0, 1, 10], '[17, 18, 19]': [9], '[18, 19]': [0, 16], '[19, 20]': [1], '[2, 3]': [1, 4], '[20, 21]': [8], '[21, 22, 23]': [3], '[21, 22]': [15], '[22, 23]': [17], '[24, 25]': [13], '[25, 26]': [7], '[26, 27]': [10], '[28, 29]': [6], '[3, 4, 5, 6]': [10], '[30, 31]': [2], '[32, 33, 34]': [11], '[32, 33]': [16], '[35, 36]': [1], '[38, 39]': [0], '[4, 5, 6]': [13], '[4, 5]': [15], '[41, 42, 43]': [17], '[43, 44, 45, 46]': [4], '[43, 44]': [6, 8, 14], '[44, 45]': [13], '[46, 47]': [5, 14], '[48, 49]': [1, 10], '[5, 6]': [7, 16], '[51, 52]': [19], '[53, 54]': [17], '[54, 55]': [12], '[55, 56]': [6], '[56, 57]': [2], '[57, 58]': [9], '[58, 59]': [12, 16], '[59, 60]': [5, 13], '[6, 7]': [4], '[60, 61]': [15], '[61, 62]': [17], '[62, 63]': [8], '[63, 64]': [14, 15], '[65, 66]': [0], '[67, 68]': [3], '[68, 69]': [8], '[69, 70]': [5], '[7, 8, 9]': [12], '[7, 8]': [18], '[70, 71]': [4, 19], '[71, 72, 73]': [16], '[71, 72]': [11], '[72, 73]': [5, 6], '[73, 74]': [2], '[75, 76]': [3], '[77, 78]': [1], '[79, 80]': [8, 18], '[8, 9]': [0]}, 'cluster_frequencies': [([14, 15], 3), ([43, 44], 3), ([2, 3], 2), ([5, 6], 2), ([10, 11], 2), ([18, 19], 2), ([46, 47], 2), ([48, 49], 2), ([58, 59], 2), ([59, 60], 2), ([63, 64], 2), ([70, 71], 2), ([72, 73], 2), ([79, 80], 2), ([1, 2, 3, 4], 1), ([3, 4, 5, 6], 1), ([4, 5], 1), ([4, 5, 6], 1), ([6, 7], 1), ([7, 8], 1), ([7, 8, 9], 1), ([8, 9], 1), ([11, 12], 1), ([11, 12, 13, 14], 1), ([17, 18, 19], 1), ([19, 20], 1), ([20, 21], 1), ([21, 22], 1), ([21, 22, 23], 1), ([22, 23], 1), ([24, 25], 1), ([25, 26], 1), ([26, 27], 1), ([28, 29], 1), ([30, 31], 1), ([32, 33], 1), ([32, 33, 34], 1), ([35, 36], 1), ([38, 39], 1), ([41, 42, 43], 1), ([43, 44, 45, 46], 1), ([44, 45], 1), ([51, 52], 1), ([53, 54], 1), ([54, 55], 1), ([55, 56], 1), ([56, 57], 1), ([57, 58], 1), ([60, 61], 1), ([61, 62], 1), ([62, 63], 1), ([65, 66], 1), ([67, 68], 1), ([68, 69], 1), ([69, 70], 1), ([71, 72], 1), ([71, 72, 73], 1), ([73, 74], 1), ([75, 76], 1), ([77, 78], 1)], 'clusters_per_draw': [[[8, 9], [14, 15], [18, 19], [38, 39], [65, 66]], [[2, 3], [14, 15], [19, 20], [35, 36], [48, 49], [77, 78]], [[30, 31], [56, 57], [73, 74]], [[21, 22, 23], [67, 68], [75, 76]], [[2, 3], [6, 7], [43, 44, 45, 46], [70, 71]], [[46, 47], [59, 60], [69, 70], [72, 73]], [[28, 29], [43, 44], [55, 56], [72, 73]], [[5, 6], [25, 26]], [[20, 21], [43, 44], [62, 63], [68, 69], [79, 80]], [[11, 12, 13, 14], [17, 18, 19], [57, 58]], [[3, 4, 5, 6], [14, 15], [26, 27], [48, 49]], [[32, 33, 34], [71, 72]], [[7, 8, 9], [11, 12], [54, 55], [58, 59]], [[4, 5, 6], [10, 11], [24, 25], [44, 45], [59, 60]], [[10, 11], [43, 44], [46, 47], [63, 64]], [[4, 5], [21, 22], [60, 61], [63, 64]], [[5, 6], [18, 19], [32, 33], [58, 59], [71, 72, 73]], [[22, 23], [41, 42, 43], [53, 54], [61, 62]], [[7, 8], [79, 80]], [[1, 2, 3, 4], [51, 52], [70, 71]]], 'draws_with_clusters': [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], 'draws_without_clusters': [], 'range_summary': {'1-10': 14, '11-20': 10, '21-30': 8, '31-40': 4, '41-50': 10, '51-60': 11, '61-70': 10, '71-80': 9}, 'summary': {'average_clusters_per_draw': 3.8, 'cluster_sizes': {2: 65, 3: 7, 4: 4}, 'total_clusters': 76}}	./rest_calls.py:707
DEBUG	2026-02-14 03:40:52.066536	setting end_game_num = None	./keno.py:448
DEBUG	2026-02-14 03:40:52.066571	setting tmp_output_file_name=output.csv	./keno.py:427
DEBUG	2026-02-14 03:40:52.066594	test_db_name set to keno_test	./keno.py:376
INFO	2026-02-14 03:40:52.066617	setting num_games_to_process=20	./keno.py:419
DEBUG	2026-02-14 03:40:52.066634	{'self': <keno.Keno object at 0x7f20da4fd7c0>}	./keno.py:328

Route List

URL route	Endpoint name	HTTP methods	Is alias	Redirect to
/	home	GET, HEAD, OPTIONS	False	None
/analyze_clustering	analyze_clustering	OPTIONS, POST	False	None
/board/<num_games>	board	GET, HEAD, OPTIONS	False	None
/count_by_day/<num_days_ago>	rest_count_by_day	GET, HEAD, OPTIONS	False	None
/count_by_hours/<num_hours_ago>	rest_count_by_hours	GET, HEAD, OPTIONS	False	None
/create/<first_name>/<last_name>	create	GET, HEAD, OPTIONS	False	None
/get_db_info	get_db_info	GET, HEAD, OPTIONS, POST	False	None
/get_games/	get_games	GET, HEAD, OPTIONS, POST	False	None
/get_json	get_rest_json_data	OPTIONS, POST	False	None
/hello	hello	GET, HEAD, OPTIONS	False	None
/hello2	hello2	GET, HEAD, OPTIONS, POST	False	None
/hot_pairs_triples	hot_pairs_triples	OPTIONS, POST	False	None
/keno_analyzer	keno_analyzer	GET, HEAD, OPTIONS, POST	False	None
/keno_boards	show_keno_boards	GET, HEAD, OPTIONS, POST	False	None
/keno_clustering	keno_clustering	GET, HEAD, OPTIONS, POST	False	None
/keno_home	keno_home	GET, HEAD, OPTIONS	False	None
/keno_transitions	keno_transitions	GET, HEAD, OPTIONS, POST	False	None
/markov	show_markov	GET, HEAD, OPTIONS	False	None
/show_popular_pairs	show_popular_pairs	GET, HEAD, OPTIONS	False	None
/show_popular_seq_pairs	show_popular_seq_pairs	GET, HEAD, OPTIONS	False	None
/static/<path:filename>	static	GET, HEAD, OPTIONS	False	None
/static/bootstrap/<path:filename>	bootstrap.static	GET, HEAD, OPTIONS	False	None
/test	test	GET, HEAD, OPTIONS	False	None
/verify_game_winners/	verify_game_winners	GET, HEAD, OPTIONS, POST	False	None
/verify_game_winners2	formVerifyGameWinners	GET, HEAD, OPTIONS, POST	False	None
/verify_with_games_winners/	verify_with_games_winners	GET, HEAD, OPTIONS, POST	False	None
/winners	get_rest_winners	OPTIONS, POST	False	None
/winnerz/	winnerz	GET, HEAD, OPTIONS, POST	False	None

flask.g content

Key	Value
debug_toolbar	<flask_debugtoolbar.DebugToolbarExtension object at 0x7f20dbad3d90>

Keno Games - Keno Pairs and Triplets Analyzer