Diogenes Analytics DiogenesAnalytics

## Dockerfile
# ref: https://www.jeffgeerling.com/blog/2023/testing-coral-tpu-accelerator-m2-or-pcie-docker
# base image
FROM debian:10

# setting workdir
WORKDIR /home

# setting home var
ENV HOME=/home

## coral-ai-pcie-edge-tpu-raspberrypi-5-setup
#!/bin/bash

cd /

sudo apt update

echo "deb https://packages.cloud.google.com/apt coral-edgetpu-stable main" | sudo tee /etc/apt/sources.list.d/coral-edgetpu.list

curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | sudo apt-key add -

## rename_clips.py
import os
import re
from datetime import datetime

# Directory containing the files
directory = "."

# Compile a regex to match the date string within the filename
filename_regex = re.compile(r"Clip \((June \d+ \d+ at \d+ [APM]+)\)\.mp4")

## lognormal_distribution_example.ipynb

      
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              June 5, 2024 13:49
            
              
                Log-normal distribution example
              
          
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## country-codes.csv

          
            Country
            ISO2
            ISO3

            
              Afghanistan
              AF
              AFG

            
              Albania
              AL
              ALB

            
              Algeria
              DZ
              DZA

            
              Andorra
              AD
              AND

            
              Angola
              AO
              AGO

            
              Antigua and Barbuda
              AG
              ATG

            
              Argentina
              AR
              ARG

            
              Armenia
              AM
              ARM

            
              Australia
              AU
              AUS

## pop_us_state_2024.csv

          
            Rank in states & territories 2020
            Rank in states & territories 2010
            State
            Census population April 1 2020
            Census population April 1 2010
            Percent change 2010–2020
            Absolute change 2010-2020
            Total seats in the U.S. House of Representatives 2023–2033
            Census population per electoral vote
            Census population per House seat
            Percent of the total U.S. population 2020

            
              1
              1
              California
              39538223
              37253956
              6.1
              2284267
              52
              732189
              760350
              11.80

            
              2
              2
              Texas
              29145505
              25145561
              15.9
              3999944
              38
              728638
              766987
              8.70

            
              3
              4
              Florida
              21538187
              18801310
              14.6
              2736877
              28
              717940
              769221
              6.43

            
              4
              3
              New York
              20201249
              19378102
              4.2
              823147
              26
              721473
              776971
              6.03

            
              5
              6
              Pennsylvania
              13002700
              12702379
              2.4
              300321
              17
              684353
              764865
              3.88

            
              6
              5
              Illinois
              12812508
              12830632
              −0.1
              −18124
              17
              674343
              753677
              3.82

            
              7
              7
              Ohio
              11799448
              11536504
              2.3
              262944
              15
              694085
              786630
              3.52

            
              8
              9
              Georgia
              10711908
              9687653
              10.6
              1024255
              14
              669494
              765136
              3.20

            
              9
              10
              North Carolina
              10439388
              9535483
              9.5
              903905
              14
              652462
              745671
              3.12

## housing_median_data_2024.csv

          
            State rank
            State or territory
            Median home price in US$

            
              1
              Hawaii
              839013

            
              2
              California
              765197

            
              —
              District of Columbia
              610548

            
              3
              Massachusetts
              596410

            
              4
              Washington
              575894

            
              5
              Colorado
              539151

            
              6
              Utah
              509433

            
              7
              New Jersey
              503432

            
              8
              Oregon
              487244

## 2_35000.txt
1121626442617525638896469365204664247501599960310398038627990792596284687698743380622957
2209779188677188609150030608307967172253122239294586767384591202483591042846633577530824
0829901428881306806240345858146070760165464394277349438425259295985184033811932887512921
8874371253216938692354667898460679828857322845279172293050149627602996509432031528555129
0948951887436577983062851277410469745608567139909366579565288243103466469746111413792212
4711144924293674736658788279678045689527359272010093601818695480904492084305860025585377
8562784953961347444734826024699272536356963629620054217295680350211955074974059938429585
3505234086766542419121570129395853535498039722171718942708085014958104044477266404590953
5280346967027244804097593515797784038047871347787155300686957877243716606005943688292750
0572287609615343699498050300689672513862196215363250794576355157541984075414988216121807

## convert_2_mp4.sh
for file in *.webm; do
    # Generate output file name with mp4 extension
    output_file="${file%.webm}.mp4"

    # Convert webm to mp4 using ffmpeg, re-encoding the streams
    ffmpeg -i "$file" -c:v libx264 -c:a aac "$output_file"
done

## cut.sh
duration=$(ffprobe -i $1 -show_entries format=duration -v quiet -of csv="p=0")
half_duration=$(echo "$duration / 2" | bc)
ffmpeg -i $1 -map 0 -c copy -f segment -segment_time $half_duration -reset_timestamps 1 output_half%d.mp4
	# ref: https://www.jeffgeerling.com/blog/2023/testing-coral-tpu-accelerator-m2-or-pcie-docker
	# base image
	FROM debian:10

	# setting workdir
	WORKDIR /home

	# setting home var
	ENV HOME=/home
	#!/bin/bash

	cd /

	sudo apt update

	echo "deb https://packages.cloud.google.com/apt coral-edgetpu-stable main" \| sudo tee /etc/apt/sources.list.d/coral-edgetpu.list

	curl https://packages.cloud.google.com/apt/doc/apt-key.gpg \| sudo apt-key add -
	import os
	import re
	from datetime import datetime

	# Directory containing the files
	directory = "."

	# Compile a regex to match the date string within the filename
	filename_regex = re.compile(r"Clip \((June \d+ \d+ at \d+ [APM]+)\)\.mp4")
Country	ISO2	ISO3
Afghanistan	AF	AFG
Albania	AL	ALB
Algeria	DZ	DZA
Andorra	AD	AND
Angola	AO	AGO
Antigua and Barbuda	AG	ATG
Argentina	AR	ARG
Armenia	AM	ARM
Australia	AU	AUS
Rank in states & territories 2020	Rank in states & territories 2010	State	Census population April 1 2020	Census population April 1 2010	Percent change 2010–2020	Absolute change 2010-2020	Total seats in the U.S. House of Representatives 2023–2033	Census population per electoral vote	Census population per House seat	Percent of the total U.S. population 2020
1	1	California	39538223	37253956	6.1	2284267	52	732189	760350	11.80
2	2	Texas	29145505	25145561	15.9	3999944	38	728638	766987	8.70
3	4	Florida	21538187	18801310	14.6	2736877	28	717940	769221	6.43
4	3	New York	20201249	19378102	4.2	823147	26	721473	776971	6.03
5	6	Pennsylvania	13002700	12702379	2.4	300321	17	684353	764865	3.88
6	5	Illinois	12812508	12830632	−0.1	−18124	17	674343	753677	3.82
7	7	Ohio	11799448	11536504	2.3	262944	15	694085	786630	3.52
8	9	Georgia	10711908	9687653	10.6	1024255	14	669494	765136	3.20
9	10	North Carolina	10439388	9535483	9.5	903905	14	652462	745671	3.12
State rank	State or territory	Median home price in US$
1	Hawaii	839013
2	California	765197
—	District of Columbia	610548
3	Massachusetts	596410
4	Washington	575894
5	Colorado	539151
6	Utah	509433
7	New Jersey	503432
8	Oregon	487244
	1121626442617525638896469365204664247501599960310398038627990792596284687698743380622957
	2209779188677188609150030608307967172253122239294586767384591202483591042846633577530824
	0829901428881306806240345858146070760165464394277349438425259295985184033811932887512921
	8874371253216938692354667898460679828857322845279172293050149627602996509432031528555129
	0948951887436577983062851277410469745608567139909366579565288243103466469746111413792212
	4711144924293674736658788279678045689527359272010093601818695480904492084305860025585377
	8562784953961347444734826024699272536356963629620054217295680350211955074974059938429585
	3505234086766542419121570129395853535498039722171718942708085014958104044477266404590953
	5280346967027244804097593515797784038047871347787155300686957877243716606005943688292750
	0572287609615343699498050300689672513862196215363250794576355157541984075414988216121807
	for file in *.webm; do
	# Generate output file name with mp4 extension
	output_file="${file%.webm}.mp4"

	# Convert webm to mp4 using ffmpeg, re-encoding the streams
	ffmpeg -i "$file" -c:v libx264 -c:a aac "$output_file"
	done
	duration=$(ffprobe -i $1 -show_entries format=duration -v quiet -of csv="p=0")
	half_duration=$(echo "$duration / 2" \| bc)
	ffmpeg -i $1 -map 0 -c copy -f segment -segment_time $half_duration -reset_timestamps 1 output_half%d.mp4