Team E update
This commit is contained in:
Jakub Rogalski
parent
b5316e3f72
commit
ee8b7385c1
881
dev-0/out.tsv
881
dev-0/out.tsv
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||||
|
@ -11,7 +11,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
"execution_count": 7,
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/",
|
||||
@ -44,13 +44,13 @@
|
||||
{
|
||||
"data": {
|
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"text/html": [
|
||||
"<style>#sk-container-id-1 {color: black;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LinearRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LinearRegression</label><div class=\"sk-toggleable__content\"><pre>LinearRegression()</pre></div></div></div></div></div>"
|
||||
"<style>#sk-container-id-3 {color: black;}#sk-container-id-3 pre{padding: 0;}#sk-container-id-3 div.sk-toggleable {background-color: white;}#sk-container-id-3 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-3 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-3 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-3 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-3 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-3 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-3 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-3 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-3 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-3 div.sk-item {position: relative;z-index: 1;}#sk-container-id-3 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-3 div.sk-item::before, #sk-container-id-3 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-3 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-3 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-3 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-3 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-3 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-3 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-3 div.sk-label-container {text-align: center;}#sk-container-id-3 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-3 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LinearRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" checked><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LinearRegression</label><div class=\"sk-toggleable__content\"><pre>LinearRegression()</pre></div></div></div></div></div>"
|
||||
],
|
||||
"text/plain": [
|
||||
"LinearRegression()"
|
||||
]
|
||||
},
|
||||
"execution_count": 2,
|
||||
"execution_count": 7,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@ -122,7 +122,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 7,
|
||||
"execution_count": 10,
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/"
|
||||
@ -203,18 +203,21 @@
|
||||
"scaler.fit(X1)\n",
|
||||
"dane_normalized = scaler.transform(X1)\n",
|
||||
"wynik = model.predict(dane_normalized)\n",
|
||||
"\n",
|
||||
"wynik_df = pd.DataFrame(wynik)\n",
|
||||
"wynik_df.to_csv('dev-0/out.tsv', sep='\\t', index=False)\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"with open('dev-0/out.tsv', 'r') as file:\n",
|
||||
" lines = file.readlines()\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"lines = lines[1:]\n",
|
||||
"\n",
|
||||
"with open('dev-0/out.tsv', 'w') as file:\n",
|
||||
" file.writelines(lines)\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"#####################################\n",
|
||||
"\n",
|
||||
"dane2 = pd.read_csv('test-A/in.tsv', delimiter='\\t', header=None)\n",
|
||||
@ -252,13 +255,14 @@
|
||||
"scaler.fit(X2)\n",
|
||||
"dane_normalized = scaler.transform(X2)\n",
|
||||
"wynik = model.predict(dane_normalized)\n",
|
||||
"wynik_df = pd.DataFrame(wynik)\n",
|
||||
"wynik_df.to_csv('dev-0/out.tsv', sep='\\t', index=False)\n",
|
||||
"\n",
|
||||
"wynik_df = pd.DataFrame(wynik) \n",
|
||||
"wynik_df.to_csv('test-A/out.tsv', sep='\\t', index=False)\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"with open('test-A/out.tsv', 'r') as file:\n",
|
||||
" lines = file.readlines()\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"lines = lines[1:]\n",
|
||||
"\n",
|
||||
"with open('test-A/out.tsv', 'w') as file:\n",
|
||||
@ -270,7 +274,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 8,
|
||||
"execution_count": 9,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
|
||||
835
test-A/out.tsv
835
test-A/out.tsv
@ -1,417 +1,418 @@
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484591.5512223877
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710249.4722346984
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413857.6012235802
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598050.1525957322
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1182500.4687354276
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760635.5559010281
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874155.4291045206
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505210.2154525395
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878838.2982180062
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||||
777786.5511335769
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||||
806303.5867940298
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||||
792181.5005829938
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||||
534305.8768366969
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663870.0195403505
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652180.9868720592
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833926.380191902
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525351.887101545
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1057841.505960065
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552238.2454766709
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479788.1720267141
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448456.74449760444
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673764.584694476
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||||
520477.5582725151
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||||
514803.11830528977
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586068.7223803146
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||||
863426.4318626887
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410056.13896804315
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311335.54575633537
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469329.0446284852
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638903.7357990824
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1041209.5772645721
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540961.1891111529
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733997.3538023982
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468567.7458678484
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596974.7623009263
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546702.8873152622
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605647.1272629596
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279322.96240079973
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796638.24985305
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661593.4690802953
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||||
619138.2625682062
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||||
832453.1580087355
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1272592.3478380847
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605837.0011882331
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||||
769598.7694213429
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582823.6396634172
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432951.8523462536
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||||
938142.3608750832
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||||
592292.4781948711
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423735.8778705803
|
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491872.4104067354
|
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468690.11121635605
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1654701.1475319248
|
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701065.7901982904
|
||||
498028.205070431
|
||||
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||||
471407.2205011245
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||||
478406.26690825715
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||||
615567.0172591206
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||||
511048.14377839386
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568579.0594592753
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441441.45724856807
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1301955.211881788
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542534.2028377249
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524071.9084862744
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||||
1507761.9234411758
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791778.5257285846
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359650.0025686001
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807074.9597949187
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868298.4343719037
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828802.5613549362
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549750.1227534077
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||||
545411.767779157
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592665.3075489209
|
||||
782870.6431711918
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||||
618374.5071588523
|
||||
774700.6887033825
|
||||
352764.6970403852
|
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765359.3007300129
|
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553847.9766845326
|
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1186336.6059745378
|
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642777.6442055859
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||||
421925.0854537502
|
||||
729306.8068270668
|
||||
673300.3692938081
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||||
1853389.474141867
|
||||
486877.615735529
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||||
534313.697419885
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||||
535150.6317955218
|
||||
744638.5701136544
|
||||
662021.9362916515
|
||||
378374.76486969425
|
||||
913888.1189129701
|
||||
549602.0793693267
|
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442606.5914003309
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||||
1715027.1567422892
|
||||
464596.05754138133
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||||
382182.7600548875
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||||
531955.6249478164
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||||
570423.3988654888
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||||
820741.7209865086
|
||||
452261.13814250287
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||||
815916.8333897857
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||||
1082383.4245054275
|
||||
274754.06671185314
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||||
593170.9192801565
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||||
716390.6413390456
|
||||
1439846.9897855357
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||||
505561.2463167227
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||||
579422.1469817631
|
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594394.0150465863
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1105161.7178441458
|
||||
390423.7129625451
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||||
584234.6431350432
|
||||
531389.7479039595
|
||||
333350.2308554783
|
||||
1714423.9038646682
|
||||
566615.2794562014
|
||||
1365336.1231770935
|
||||
1447222.148166
|
||||
470698.5551879493
|
||||
823781.15644406
|
||||
384902.72353476495
|
||||
430132.1184618097
|
||||
777005.7744107206
|
||||
777005.7744107206
|
||||
1241036.3161320281
|
||||
767574.9424455959
|
||||
498027.7860364417
|
||||
532580.6924268911
|
||||
655659.0913765208
|
||||
462619.1703252661
|
||||
524276.96389744186
|
||||
60433.23425430822
|
||||
557636.3519138608
|
||||
993501.541778626
|
||||
584185.5202043619
|
||||
899429.1780505256
|
||||
595035.4822590658
|
||||
595898.696245125
|
||||
480637.0136303997
|
||||
464846.7918031482
|
||||
1137598.8224256858
|
||||
1867777.8976113899
|
||||
587744.8708378993
|
||||
680453.6767403177
|
||||
586733.3386276695
|
||||
213964.17464409152
|
||||
451865.05993220874
|
||||
410517.03903111734
|
||||
483593.35201051366
|
||||
1266653.518008018
|
||||
1194321.5630886755
|
||||
720837.5131987237
|
||||
|
||||
|
Loading…
Reference in New Issue
Block a user