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References updated for 2024 #351

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Apr 1, 2024
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References updated for 2024 #351

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12 changes: 6 additions & 6 deletions tests/energy_efficiency.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@
from datetime import datetime
import gettext
import tests.energy_efficiency_carbon_percentiles as energy_efficiency_carbon_percentiles
import tests.energy_efficiency_carbon_percentiles2021 as energy_efficiency_carbon_percentiles_2021
import tests.energy_efficiency_carbon_percentiles2022 as energy_efficiency_carbon_percentiles_2022
from tests.performance_lighthouse import run_test as lighthouse_perf_run_test
from models import Rating
_local = gettext.gettext
Expand Down Expand Up @@ -51,8 +51,8 @@ def cleaner_than(co2, year='current'):
# from the database once a month, that is then loaded in this file.

percentiles = False
if year == '2021':
percentiles = energy_efficiency_carbon_percentiles_2021.get_percentiles()
if year == '2022':
percentiles = energy_efficiency_carbon_percentiles_2022.get_percentiles()
else:
percentiles = energy_efficiency_carbon_percentiles.get_percentiles()
position = 0
Expand Down Expand Up @@ -103,7 +103,7 @@ def run_test(global_translation, lang_code, url):
result_dict['co2'] = co2

cleaner = cleaner_than(co2) * 100
cleaner_2021 = cleaner_than(co2, '2021') * 100
cleaner_2022 = cleaner_than(co2, '2022') * 100
result_dict['cleaner_than'] = cleaner

review = ''
Expand All @@ -128,8 +128,8 @@ def run_test(global_translation, lang_code, url):
review += local_translation("TEXT_GRAMS_OF_CO2").format(round(co2, 2))
review += local_translation("TEXT_BETTER_THAN").format(int(cleaner),
energy_efficiency_carbon_percentiles.get_generated_date())
review += local_translation("TEXT_BETTER_THAN").format(int(cleaner_2021),
energy_efficiency_carbon_percentiles_2021.get_generated_date())
review += local_translation("TEXT_BETTER_THAN").format(int(cleaner_2022),
energy_efficiency_carbon_percentiles_2022.get_generated_date())

transfer_info = format_bytes(transfer_bytes)
review += local_translation("TEXT_TRANSFER_SIZE").format(transfer_info[0], transfer_info[1]
Expand Down
204 changes: 102 additions & 102 deletions tests/energy_efficiency_carbon_percentiles.py
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Original file line number Diff line number Diff line change
@@ -1,116 +1,116 @@
# This array was last generated with carbon-rating.py on 2022-12-16
# This array was last generated with carbon-rating.py on 2024-03-31
def get_generated_date():
return '2022-12-16'
return '2024-03-31'

def get_percentiles():
return [
0.09973231387370034,
0.16080354696745056,
0.20362588258347242,
0.2379187339514261,
0.27656745606072947,
0.30745744090969673,
0.33184973107940746,
0.3529047702283366,
0.37534929773239417,
0.39810352749424055,
0.08354936412472742,
0.13657804459389297,
0.18515692842479328,
0.22692933166886212,
0.2525221250193426,
0.2874776061070385,
0.31191066180402416,
0.344436006239173,
0.36667539186773357,
0.39758132844476496,
# 10 percentile
0.42508327717952193,
0.4389412294057431,
0.4562202545828302,
0.4785825637696777,
0.5068633860716945,
0.5305798920731991,
0.5477266613885061,
0.5661989312880904,
0.579879822949972,
0.5960701396723743,
0.42584487272235566,
0.4464283894000808,
0.46531171471399724,
0.48831765141088984,
0.510851378373918,
0.5317421617470216,
0.5543698387214449,
0.5791470562671542,
0.6028803097745404,
0.6186698679652763,
# 20 percentile
0.6143280318508855,
0.6330070592960808,
0.6498430170875509,
0.6694780148360645,
0.6892955109640024,
0.7101647842215606,
0.7250250909520546,
0.744704218197707,
0.763463341885933,
0.7899220982457044,
0.631780596878333,
0.6463543994801352,
0.6655098084641156,
0.6942654328065225,
0.7170844340597977,
0.7372893775268226,
0.7558947352377232,
0.7787478584792232,
0.8010871503955684,
0.8200965462073219,
# 30 percentile
0.8094173284721329,
0.8283828359315404,
0.8446715276722913,
0.8657136655747891,
0.884027165742591,
0.9072240650011458,
0.9295368189330097,
0.9521169542114716,
0.9772724314796505,
1.0007404016001384,
0.8394079517579637,
0.8574583870709639,
0.8799363854723051,
0.8971731259099208,
0.9300173361049964,
0.9541632124678697,
0.9763189208532217,
0.9938500749687432,
1.0212998279130319,
1.0504173141319773,
# 40 percentile
1.0238258919642773,
1.0471724697959142,
1.0710941779591143,
1.0923557214516215,
1.124570965740073,
1.146183845138899,
1.1746030242659617,
1.1979125622573776,
1.2310768439363453,
1.2515047016501195,
1.0768987260450609,
1.0988630619226023,
1.1215843754201895,
1.1494796192552659,
1.1679330798609882,
1.196162212776602,
1.2189920173166087,
1.2507048967148173,
1.2774594292205759,
1.307289932363783,
# 50 percentile
1.2795522645937627,
1.3061630386311094,
1.3351569502008265,
1.3628026453467552,
1.3917207530507585,
1.4207824624790577,
1.4529408809970128,
1.4915141368433134,
1.5291470606261284,
1.554606947023887,
1.3392636821991764,
1.3570009668838463,
1.38218706954075,
1.411758462603763,
1.4452612874577753,
1.4804685478239554,
1.5103988125680712,
1.5413658552356755,
1.5866408142562025,
1.6249815582929876,
# 60 percentile
1.5936143358412198,
1.6352281140403822,
1.6801844363885348,
1.7187831209532685,
1.7571613991771002,
1.8028394920055058,
1.8599011262235698,
1.905627098350646,
1.9640204546886495,
2.023141995958402,
1.657838934993767,
1.7014340311565435,
1.7496255158773157,
1.7901508147093466,
1.8204601590682286,
1.8672358344797044,
1.9200499443119627,
1.9582236473505616,
2.024268769118678,
2.087484008510713,
# 70 percentile
2.0738455101034607,
2.1401365513315884,
2.2145383168173134,
2.288088527695136,
2.3726603939716004,
2.450417219021078,
2.5282657152636565,
2.5990867940599562,
2.7045361686886635,
2.8158361741732807,
2.159640824487759,
2.228946874949638,
2.3116927446237296,
2.393050343723898,
2.4580033448385072,
2.540090069335118,
2.6137265979916324,
2.6977107944072927,
2.7708533379551255,
2.87857855274051,
# 80 percentile
2.8941146556964497,
3.014464415320265,
3.142870581337029,
3.2905006896879754,
3.43547236961074,
3.6471893352084095,
3.807560159901865,
3.9759314212817936,
4.240359033538238,
4.474958891702117,
2.9831052229901087,
3.0822705451690124,
3.205326033772178,
3.3414577193540285,
3.4742567115516865,
3.662649320810405,
3.824050304002779,
4.022925911478537,
4.2230293800118375,
4.470116463111714,
# 90 percentile
4.721777182758359,
5.040366506351629,
5.525683098755043,
5.968029039437439,
6.511319842356704,
7.102975344301667,
8.126477029148848,
9.81361661188916,
12.361596299821109,
46.09157958511321
4.695625259033334,
4.9861721319525785,
5.365176268398273,
5.774669570875075,
6.345150944315008,
7.2068164399044585,
8.434910226292136,
10.216039042627969,
13.186847352152784,
40.041936754347404
]
116 changes: 116 additions & 0 deletions tests/energy_efficiency_carbon_percentiles2022.py
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Original file line number Diff line number Diff line change
@@ -0,0 +1,116 @@
# This array was last generated with carbon-rating.py on 2022-12-16
def get_generated_date():
return '2022-12-16'

def get_percentiles():
return [
0.09973231387370034,
0.16080354696745056,
0.20362588258347242,
0.2379187339514261,
0.27656745606072947,
0.30745744090969673,
0.33184973107940746,
0.3529047702283366,
0.37534929773239417,
0.39810352749424055,
# 10 percentile
0.42508327717952193,
0.4389412294057431,
0.4562202545828302,
0.4785825637696777,
0.5068633860716945,
0.5305798920731991,
0.5477266613885061,
0.5661989312880904,
0.579879822949972,
0.5960701396723743,
# 20 percentile
0.6143280318508855,
0.6330070592960808,
0.6498430170875509,
0.6694780148360645,
0.6892955109640024,
0.7101647842215606,
0.7250250909520546,
0.744704218197707,
0.763463341885933,
0.7899220982457044,
# 30 percentile
0.8094173284721329,
0.8283828359315404,
0.8446715276722913,
0.8657136655747891,
0.884027165742591,
0.9072240650011458,
0.9295368189330097,
0.9521169542114716,
0.9772724314796505,
1.0007404016001384,
# 40 percentile
1.0238258919642773,
1.0471724697959142,
1.0710941779591143,
1.0923557214516215,
1.124570965740073,
1.146183845138899,
1.1746030242659617,
1.1979125622573776,
1.2310768439363453,
1.2515047016501195,
# 50 percentile
1.2795522645937627,
1.3061630386311094,
1.3351569502008265,
1.3628026453467552,
1.3917207530507585,
1.4207824624790577,
1.4529408809970128,
1.4915141368433134,
1.5291470606261284,
1.554606947023887,
# 60 percentile
1.5936143358412198,
1.6352281140403822,
1.6801844363885348,
1.7187831209532685,
1.7571613991771002,
1.8028394920055058,
1.8599011262235698,
1.905627098350646,
1.9640204546886495,
2.023141995958402,
# 70 percentile
2.0738455101034607,
2.1401365513315884,
2.2145383168173134,
2.288088527695136,
2.3726603939716004,
2.450417219021078,
2.5282657152636565,
2.5990867940599562,
2.7045361686886635,
2.8158361741732807,
# 80 percentile
2.8941146556964497,
3.014464415320265,
3.142870581337029,
3.2905006896879754,
3.43547236961074,
3.6471893352084095,
3.807560159901865,
3.9759314212817936,
4.240359033538238,
4.474958891702117,
# 90 percentile
4.721777182758359,
5.040366506351629,
5.525683098755043,
5.968029039437439,
6.511319842356704,
7.102975344301667,
8.126477029148848,
9.81361661188916,
12.361596299821109,
46.09157958511321
]
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