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Nov 05, 2025 — Nov 05, 2026
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------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 1454. (THEORY and FEATURE) Computational Geometric Integer Factorization - Python 3.11.5 + PySpark 3.5.0 Upgrade - Single node clustering benchmark - related to 498,601,1226,1259,1303,1319,1321,1323,1324,1325,1355,1365,1366,1369,1379,1381,1384,1385,1401,1419 and all sections on Integer Factorization (DMRC MapReduce PySpark and NC HPC Rust implementations),Computational Geometry,Set Partitions-to-Tile Cover reduction by Lagranges Four Square Theorem and ILP,Primality Testing,RSA Semiprimes,Almost-Square Bounding Boxes in Large Scale Visual Recognition,Pell's Equation,Brahmagupta's Chakravala,Approximate Factoring by Newton-Raphson Rayshooting queries,Algebraic Geometry of Computational Geometric Factorization,Quantum computation and Derandomization of BQP Factorization by Condorcet Jury Theorem Majority-BQPVoterSAT boolean composition - 7 October 2023 ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 1454.1 Spark Python version has been upgraded to 3.5.0 by "pip3.11 install pyspark" which installs pyspark 3.5.0 directly without necessity for commandline spark-submit and env variables (PYSPARK_DRIVER_PYTHON and PYSPARK_PYTHON). For local clustering benchmarks pyspark can be directly invoked without Spark submit commandline. 1454.2 Semiprime 2137458620009 in 1324.9 has been factorized by "python3.11 DiscreteHyperbolicFactorizationUpperbound_TileSearch_Optimized.py 2137458620009 5 False False all False 2>&1 > testlogs/DiscreteHyperbolicFactorizationUpperbound_TileSearch_Optimized.Python3.11.5Upgrade.7October2023" in 50 seconds compared to 108 seconds for 3.10.4 (1324.7.3 - testlogs/DiscreteHyperbolicFactorizationUpperbound_TileSearch_Optimized.log3.12October2022) - Logs at testlogs/DiscreteHyperbolicFactorizationUpperbound_TileSearch_Optimized.Python3.11.5Upgrade.7October2023: Factor point located : [ 1462001 , 1462009 ] nanoseconds elapsed so far in finding all factors: 50076500370 1454.3 Python 3.11 is a major rewrite for improved dictionary performance.
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Updated Section 1413
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Section 1451 updated
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Updated index.rst
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Section 1342 updated
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Section 1342 updated
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Section 1342 updated
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Section 1288 updated
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Section 1288 updated
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Section 1288 updated
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Section 1443 updated
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Section 1443 updated - Meltdown and Spectre
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Section 1443 updated
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Section 1443 updated
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Section 1443 updated
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1426.18 - Typo error correction
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Section 1426 updated
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Section 1451 updated
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Section 1255 updated
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Section 1255 updated
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1452. (THEORY and FEATURE) People Analytics - Social Network Analysis - enhancements to GitHub Code Search REST API statistics and support for regular expression search of repository clones - related to 14,365,626,711,727,753,876,1127,1128,1129,1130,1204,1263,1269,1427,1442 and all sections on People Analytics, Intrinsic Merit Versus Fame Equilibrium, BKS Conjecture, Stability and Noise Sensitivity of Interview LTF/PTF,Peres Theorem,Unique Identification,Talent Analytics,HR Analytics and Automated Recruitment,Question-Answering,Majority Voting,Condorcet Jury Theorem Variants,Margulis-Ruzzo Thresholds,Novelty Detection,Recommender Systems,AI Question-Answering, Partial Ordered Ranking, Fame-Merit equilibrium, Intrinsic Merit as Query Complexity,Software Analytics-Mythical Manmonth-CathedralAndBazaar - 15 September 2023
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------------------------------------------------------------------------------------------------------------------------------------------- 1452. (THEORY and FEATURE) People Analytics - Social Network Analysis - enhancements to GitHub Code Search REST API statistics and support for regular expression search of repository clones - related to 14,365,626,711,727,753,876,1127,1128,1129,1130,1204,1263,1269,1427,1442 and all sections on People Analytics, Intrinsic Merit Versus Fame Equilibrium, BKS Conjecture, Stability and Noise Sensitivity of Interview LTF/PTF,Peres Theorem,Unique Identification,Talent Analytics,HR Analytics and Automated Recruitment,Question-Answering,Majority Voting,Condorcet Jury Theorem Variants,Margulis-Ruzzo Thresholds,Novelty Detection,Recommender Systems,AI Question-Answering, Partial Ordered Ranking, Fame-Merit equilibrium, Intrinsic Merit as Query Complexity,Software Analytics-Mythical Manmonth-CathedralAndBazaar - 15 September 2023 ------------------------------------------------------------------------------------------------------------------------------------------- 1452.1 python-src/SocialNetworkAnalysis_PeopleAnalytics.py has been updated to import regular expressions re and sys modules. Function codesearch_statistics(self,opensourceid=None,personalaccesstoken=None,query=None,filepath=None) has been refactored to introduce more arguments (query and filepath) and 3 clauses separately for (*) JSON search results based on "opensourceid" parameter by REST calls with header: Accept: application/vnd.github+json (*) JSON search results based on a complex text-match from "query" parameter by REST calls with header: Accept: application/vnd.github.text-match+json (*) plain regular expression search of locally cloned repository file at "filepath" by "query" parameter which does not depend on GitHub code search. 1452.2 Following are the queries (to search for keyword "FEATURE") to GitHub codesearch REST API and local clones of NeuronRain repository design text files for 3 clauses implemented above for retrieving all FEATUREs: codesearchstats=hranal.codesearch_statistics(opensourceid="shrinivaasanka",personalaccesstoken="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") codesearchstats1=hranal.codesearch_statistics(query="shrinivaasanka+THEORY+and+FEATURE",personalaccesstoken="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") codesearchstats2=hranal.codesearch_statistics(query="FEATURE",filepath="../asfer-docs/AstroInferDesign.txt") codesearchstats2=hranal.codesearch_statistics(query="FEATURE",filepath="../../usb-md64-github-code/USBmd_notes.txt") codesearchstats2=hranal.codesearch_statistics(query="FEATURE",filepath="../../virgo64-linux-github-code/virgo-docs/VirgoDesign.txt") codesearchstats2=hranal.codesearch_statistics(query="FEATURE",filepath="../../kingcobra64-github-code/KingCobraDesignNotes.txt") codesearchstats2=hranal.codesearch_statistics(query="FEATURE",filepath="../../Grafit/course_material/ComputerScienceMiscellaneous/ComputerScienceMiscellaneous_CourseNotes.txt") codesearchstats2=hranal.codesearch_statistics(query="FEATURE",filepath="../../Grafit/course_material/Programming/Python/Python_CourseNotes.txt") codesearchstats2=hranal.codesearch_statistics(query="FEATURE",filepath="../../Grafit/course_material/Programming/Go/Go_CourseNotes.txt") codesearchstats2=hranal.codesearch_statistics(query="FEATURE",filepath="../../Grafit/course_material/Programming/C/C_CourseNotes.txt") codesearchstats2=hranal.codesearch_statistics(query="FEATURE",filepath="../../Grafit/course_material/Programming/C++/CPlusPlus_CourseNotes.txt") codesearchstats2=hranal.codesearch_statistics(query="FEATURE",filepath="../../Grafit/course_material/Programming/C++/code/namefilter.txt") codesearchstats2=hranal.codesearch_statistics(query="FEATURE",filepath="../../Grafit/course_material/Programming/GUI/AngularJS_CourseNotes.txt") codesearchstats2=hranal.codesearch_statistics(query="FEATURE",filepath="../../Grafit/course_material/Programming/GUI/TypeScript_CourseNotes.txt") codesearchstats2=hranal.codesearch_statistics(query="FEATURE",filepath="../../Grafit/course_material/Programming/R/R_CourseNotes.txt") codesearchstats2=hranal.codesearch_statistics(query="FEATURE",filepath="../../Grafit/course_material/Programming/Rust/Rust_CourseNotes.txt") codesearchstats2=hranal.codesearch_statistics(query="FEATURE",filepath="../../Grafit/course_material/Programming/Java/Java_CourseNotes.txt") codesearchstats2=hranal.codesearch_statistics(query="FEATURE",filepath="../../Grafit/course_material/NeuronRain/AdvancedComputerScienceAndMachineLearning/AdvancedComputerScienceAndMachineLearning.txt") codesearchstats2=hranal.codesearch_statistics(query="FEATURE",filepath="../../Grafit/course_material/NeuronRain/LinuxKernelAndCloud/BigdataAnalyticsCloud_CourseNotes.txt") codesearchstats2=hranal.codesearch_statistics(query="FEATURE",filepath="../../Grafit/course_material/NeuronRain/LinuxKernelAndCloud/code/AdvertisementAnalytics_RecommenderSystemsCF.txt") codesearchstats2=hranal.codesearch_statistics(query="FEATURE",filepath="../../Grafit/course_material/NeuronRain/LinuxKernelAndCloud/LinuxKernelAndCloud.txt") 1452.3 Search results (GitHub codesearch and Regular expression local repository clone search) are in testlogs/SocialNetworkAnalysis_PeopleAnalytics.log.15September2023
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Section 1255 updated
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Updated index.rst - HTML generated by txt2html
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Section 1450 updated
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Section 1255 updated
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1451. (THEORY and FEATURE) GIS Weather Analytics and Climate Analytics - 11 September 2023 - Updates to matlplotlib plot nomenclature and N-Body gravitational acceleration analysis of 2 date ranges 5-13 September 2023 and 1-31 October 2023 - related to 148,172,313,445,446,463,1165,1171,1176,1266,1289,1316,1318,1327,1358,1359,1360,1361,1364,1367,1368,1388,1404 and all sections on Correlation between gravitational effects of Mined Celestial N-Body Patterns and terrestrial extreme weather events (or Gravitational effects on climate change), Drone natural obstacle avoidance-Drone autonomous online shopping delivery-Drone Electronic Voting Machine, Artificial Intelligence models for Climate Change, Astronomical algorithms, Multifractals, Timeseries analysis, Sequence Mining-Class Association Rules
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---------------------------------------------------------------------------------------------------------------------------------------- 1451. (THEORY and FEATURE) GIS Weather Analytics and Climate Analytics - 11 September 2023 - Updates to matlplotlib plot nomenclature and N-Body gravitational acceleration analysis of 2 date ranges 5-13 September 2023 and 1-31 October 2023 - related to 148,172,313,445,446,463,1165,1171,1176,1266,1289,1316,1318,1327,1358,1359,1360,1361,1364,1367,1368,1388,1404 and all sections on Correlation between gravitational effects of Mined Celestial N-Body Patterns and terrestrial extreme weather events (or Gravitational effects on climate change), Drone natural obstacle avoidance-Drone autonomous online shopping delivery-Drone Electronic Voting Machine, Artificial Intelligence models for Climate Change, Astronomical algorithms, Multifractals, Timeseries analysis, Sequence Mining-Class Association Rules ---------------------------------------------------------------------------------------------------------------------------------------- 1451.1 python-src/EphemerisSearch.py has been updated to change the file names of pairwise N-Body gravity plots reflecting the date range. Graph plot JPEG files are named with suffix datefrom#dateto. Function plt.clf() has been invoked to prevent overwrites. 1451.2 python-src/image_pattern_mining/ImageNet/GISWeatherAnalytics.py has been updated to analyze two date ranges 5-13 September 2023 and 1-31 October 2023 for N-Body gravitational effects of two sets of bodies Sun-Mars-Mercury-Venus-Saturn and Venus-Mercury-Sun-Jupiter by climate_analytics() and gaussian_ensemble_forecast_rainfall_timeseries(): climate_analytics(datasource="n-body-analytics",predict_EWE_params={'datefrom':(2023,9,5,17,30,00),'dateto':(2023,9,13,17,30,00),'loc':'@0','bodyconjunctions':"Sun-Mars-Mercury-Venus-Saturn",'angularsepbounds':('0d','180d')}) gaussian_ensemble_forecast_rainfall_timeseries(predEWEparams={'datefrom':(2023,10,1,17,30,00),'dateto':(2023,10,31,17,30,00),'loc':'@0','bodyconjunctions':"Venus-Mercury-Sun-Jupiter",'angularsepbounds':('0d','30d')},days=5,forecast_seasonal_rainfall=10,historic_training_timeseries=nem_rainfall_timeseries) 1451.3 The pairwise gravity plots for dateranges and compressed logs image_pattern_mining/ImageNet/testlogs/GISWeatherAnalytics.log.11September2023.xz below point to a marked fluctuation in Mercury's gravity peaking during 5-13 September 2023 and nosediving in 1-31 October 2023: image_pattern_mining/ImageNet/testlogs/GISWeatherAnalytics.Gravity.Mars-Mercury.2023-9-5#2023-9-13.jpg image_pattern_mining/ImageNet/testlogs/GISWeatherAnalytics.Gravity.Mars-Saturn.2023-9-5#2023-9-13.jpg image_pattern_mining/ImageNet/testlogs/GISWeatherAnalytics.Gravity.Mars-Venus.2023-9-5#2023-9-13.jpg image_pattern_mining/ImageNet/testlogs/GISWeatherAnalytics.Gravity.Mercury-Jupiter.2023-10-1#2023-10-31.jpg image_pattern_mining/ImageNet/testlogs/GISWeatherAnalytics.Gravity.Mercury-Saturn.2023-9-5#2023-9-13.jpg image_pattern_mining/ImageNet/testlogs/GISWeatherAnalytics.Gravity.Mercury-Sun.2023-10-1#2023-10-31.jpg image_pattern_mining/ImageNet/testlogs/GISWeatherAnalytics.Gravity.Mercury-Venus.2023-9-5#2023-9-13.jpg image_pattern_mining/ImageNet/testlogs/GISWeatherAnalytics.Gravity.Sun-Jupiter.2023-10-1#2023-10-31.jpg image_pattern_mining/ImageNet/testlogs/GISWeatherAnalytics.Gravity.Sun-Mars.2023-9-5#2023-9-13.jpg image_pattern_mining/ImageNet/testlogs/GISWeatherAnalytics.Gravity.Sun-Mercury.2023-9-5#2023-9-13.jpg image_pattern_mining/ImageNet/testlogs/GISWeatherAnalytics.Gravity.Sun-Saturn.2023-9-5#2023-9-13.jpg image_pattern_mining/ImageNet/testlogs/GISWeatherAnalytics.Gravity.Sun-Venus.2023-9-5#2023-9-13.jpg image_pattern_mining/ImageNet/testlogs/GISWeatherAnalytics.Gravity.Venus-Jupiter.2023-10-1#2023-10-31.jpg image_pattern_mining/ImageNet/testlogs/GISWeatherAnalytics.Gravity.Venus-Mercury.2023-10-1#2023-10-31.jpg image_pattern_mining/ImageNet/testlogs/GISWeatherAnalytics.Gravity.Venus-Saturn.2023-9-5#2023-9-13.jpg image_pattern_mining/ImageNet/testlogs/GISWeatherAnalytics.Gravity.Venus-Sun.2023-10-1#2023-10-31.jpg image_pattern_mining/ImageNet/testlogs/GISWeatherAnalytics.log.11September2023.xz 1451.4 Steep increase in Mercury's gravity coincided with Marrakesh-Safi earthquake of 6.8 richter (Mercalli intensity 8) on 8 September 2023 - https://en.wikipedia.org/wiki/2023_Marrakesh-Safi_earthquake - and another steep decline in Mercury's gravity during October 2023 coincides with monsoon season in southern India. 1451.5 Following are the matching date ranges for pairwise maximum angular separation of 180 degrees for Sun-Mars-Mercury-Venus-Saturn and 30 degrees for Venus-Mercury-Sun-Jupiter. Date range of 5-12 September 2023 coincides with proximities of Sun+Mars, Sun+Mercury, Sun+Venus, Mars+Mercury,Mercury+Venus and 1-19 October 2023 coincides with Jupiter+Venus which were prominent class association rules from sequence mining of 100 year USGS earthquake dataset in Section 148. Similarly date range of 9-26 October 2023 coincides with Sun+Mercury,5-12 September 2023 coincides with Mercury+Venus, 5-12 September 2023 coincides with Mars+Mercury which were prominent class association rules from sequence mining of HURDAT2 NOAA 100 year hurricane dataset. As mentioned elsewhere, following data establish only a machine-learnt correlation between gravity of celestial bodies and seismic-climate events while a detailed proof might involve experimental verification of ECMWF equations augmented with variable gravity g (Section 1358.7 - substituting g from N-body acceleration data computed): Angular separation of Sun-Mars matches bounds for date: 2023-09-05 17:30:00.000 ... Angular separation of Sun-Mars matches bounds for date: 2023-09-12 17:30:00.000 Angular separation of Sun-Mercury matches bounds for date: 2023-09-05 17:30:00.000 ... Angular separation of Sun-Mercury matches bounds for date: 2023-09-12 17:30:00.000 Angular separation of Sun-Venus matches bounds for date: 2023-09-05 17:30:00.000 ... Angular separation of Sun-Venus matches bounds for date: 2023-09-12 17:30:00.000 Angular separation of Sun-Saturn matches bounds for date: 2023-09-05 17:30:00.000 ... Angular separation of Sun-Saturn matches bounds for date: 2023-09-12 17:30:00.000 Angular separation of Mars-Mercury matches bounds for date: 2023-09-05 17:30:00.000 ... Angular separation of Mars-Mercury matches bounds for date: 2023-09-12 17:30:00.000 Angular separation of Mars-Venus matches bounds for date: 2023-09-05 17:30:00.000 ... Angular separation of Mars-Venus matches bounds for date: 2023-09-12 17:30:00.000 Angular separation of Mars-Saturn matches bounds for date: 2023-09-05 17:30:00.000 ... Angular separation of Mars-Saturn matches bounds for date: 2023-09-12 17:30:00.000 Angular separation of Mercury-Venus matches bounds for date: 2023-09-05 17:30:00.000 ... Angular separation of Mercury-Venus matches bounds for date: 2023-09-12 17:30:00.000 Angular separation of Mercury-Saturn matches bounds for date: 2023-09-05 17:30:00.000 ... Angular separation of Mercury-Saturn matches bounds for date: 2023-09-12 17:30:00.000 Angular separation of Venus-Saturn matches bounds for date: 2023-09-05 17:30:00.000 ... Angular separation of Venus-Saturn matches bounds for date: 2023-09-12 17:30:00.000 Angular separation of Venus-Jupiter matches bounds for date: 2023-10-01 17:30:00.000 .... Angular separation of Venus-Jupiter matches bounds for date: 2023-10-19 17:30:00.000 Angular separation of Mercury-Sun matches bounds for date: 2023-10-25 17:30:00.000 ... Angular separation of Mercury-Sun matches bounds for date: 2023-10-26 17:30:00.000 Angular separation of Venus-Jupiter matches bounds for date: 2023-10-01 17:30:00.000 ... Angular separation of Venus-Jupiter matches bounds for date: 2023-10-19 17:30:00.000 Angular separation of Mercury-Sun matches bounds for date: 2023-10-09 17:30:00.000 ... Angular separation of Mercury-Sun matches bounds for date: 2023-10-26 17:30:00.000 Angular separation of Venus-Jupiter matches bounds for date: 2023-10-18 17:30:00.000 ... Angular separation of Venus-Jupiter matches bounds for date: 2023-10-19 17:30:00.000 Angular separation of Mercury-Sun matches bounds for date: 2023-10-09 17:30:00.000 ... Angular separation of Mercury-Sun matches bounds for date: 2023-10-26 17:30:00.000 Angular separation of Venus-Jupiter matches bounds for date: 2023-10-01 17:30:00.000 ... Angular separation of Venus-Jupiter matches bounds for date: 2023-10-19 17:30:00.000 Angular separation of Mercury-Sun matches bounds for date: 2023-10-09 17:30:00.000 ... Angular separation of Mercury-Sun matches bounds for date: 2023-10-26 17:30:00.000 Angular separation of Venus-Jupiter matches bounds for date: 2023-10-01 17:30:00.000 ... Angular separation of Venus-Jupiter matches bounds for date: 2023-10-19 17:30:00.000 Angular separation of Mercury-Sun matches bounds for date: 2023-10-09 17:30:00.000 ... Angular separation of Mercury-Sun matches bounds for date: 2023-10-26 17:30:00.000 Angular separation of Venus-Jupiter matches bounds for date: 2023-10-01 17:30:00.000 ... Angular separation of Venus-Jupiter matches bounds for date: 2023-10-19 17:30:00.000 Angular separation of Mercury-Sun matches bounds for date: 2023-10-09 17:30:00.000 ... Angular separation of Mercury-Sun matches bounds for date: 2023-10-26 17:30:00.000 Angular separation of Venus-Jupiter matches bounds for date: 2023-10-01 17:30:00.000 ... Angular separation of Venus-Jupiter matches bounds for date: 2023-10-19 17:30:00.000 Angular separation of Mercury-Sun matches bounds for date: 2023-10-09 17:30:00.000 ... Angular separation of Mercury-Sun matches bounds for date: 2023-10-26 17:30:00.000
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Section 1358 updated
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1450. (THEORY and FEATURE) Astronomical and Archaeological analytics - Space Cone Search and Archaeoastronomical dating by Proper Motion - 6 September 2023 - related to 2,18,714,731,1206,1255,1236 and all sections on Merit of Large Scale Visuals, Archaeology, Text Restoration, Astronomical Datasets, Archaeology, Topological Script Recognition
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