Skip to content

Commit

Permalink
[MNT] Auto-fixing linting issues (#4317)
Browse files Browse the repository at this point in the history
Towards #4182

Some linting fixes: 

- Fix End of Files
- Trim Trailing Whitespace
- isort
  • Loading branch information
SamiAlavi committed Mar 14, 2023
1 parent ddc8343 commit 80e0fd6
Show file tree
Hide file tree
Showing 5 changed files with 4 additions and 5 deletions.
2 changes: 1 addition & 1 deletion .github/ISSUE_TEMPLATE/bug_report.md
Expand Up @@ -38,7 +38,7 @@ Add any other context about the problem here.

<!--
Please run the following code snippet and paste the output here:
from sktime import show_versions; show_versions()
-->

Expand Down
2 changes: 1 addition & 1 deletion sktime/datasets/data/ACSF1/ACSF1_TEST.ts
Expand Up @@ -2,7 +2,7 @@
#
#The dataset is compiled from ACS-F1, the first version of the database of appliance consumption signatures. The dataset contains the power consumption of typical appliances. The recordings are characterized by long idle periods and some high bursts of enery consumption when the appliance is active.
#
#The classes correspond to 10 categories of home appliances: mobile phones (via chargers), coffee machines, computer stations (including monitor), fridges and freezers, Hi-Fi systems (CD players), lamp (CFL), laptops (via chargers), microwave ovens, printers, and televisions (LCD or LED).
#The classes correspond to 10 categories of home appliances: mobile phones (via chargers), coffee machines, computer stations (including monitor), fridges and freezers, Hi-Fi systems (CD players), lamp (CFL), laptops (via chargers), microwave ovens, printers, and televisions (LCD or LED).
#
#Train size: 100
#
Expand Down
2 changes: 1 addition & 1 deletion sktime/datasets/data/ACSF1/ACSF1_TRAIN.ts
Expand Up @@ -2,7 +2,7 @@
#
#The dataset is compiled from ACS-F1, the first version of the database of appliance consumption signatures. The dataset contains the power consumption of typical appliances. The recordings are characterized by long idle periods and some high bursts of enery consumption when the appliance is active.
#
#The classes correspond to 10 categories of home appliances: mobile phones (via chargers), coffee machines, computer stations (including monitor), fridges and freezers, Hi-Fi systems (CD players), lamp (CFL), laptops (via chargers), microwave ovens, printers, and televisions (LCD or LED).
#The classes correspond to 10 categories of home appliances: mobile phones (via chargers), coffee machines, computer stations (including monitor), fridges and freezers, Hi-Fi systems (CD players), lamp (CFL), laptops (via chargers), microwave ovens, printers, and televisions (LCD or LED).
#
#Train size: 100
#
Expand Down
2 changes: 1 addition & 1 deletion sktime/datasets/data/GunPoint/GunPoint_TRAIN.arff
Expand Up @@ -202,4 +202,4 @@
-0.61464,-0.61499,-0.61479,-0.61404,-0.61314,-0.61239,-0.61086,-0.60812,-0.6061,-0.60311,-0.60395,-0.60357,-0.60725,-0.61079,-0.61514,-0.61483,-0.61051,-0.60244,-0.59514,-0.58937,-0.58645,-0.58769,-0.59247,-0.59472,-0.59933,-0.59942,-0.59599,-0.59464,-0.58685,-0.57972,-0.57113,-0.56169,-0.54904,-0.53355,-0.51876,-0.50482,-0.51005,-0.51178,-0.53173,-0.56144,-0.58705,-0.59165,-0.57205,-0.55741,-0.55198,-0.54977,-0.50706,-0.41555,-0.25365,-0.071631,0.15835,0.402,0.62449,0.84227,1.0439,1.2298,1.4123,1.5846,1.7259,1.7988,1.8036,1.8066,1.81,1.8122,1.8167,1.8202,1.8225,1.8258,1.8265,1.8297,1.842,1.8483,1.8454,1.8497,1.8446,1.8446,1.8446,1.8435,1.8421,1.8355,1.8316,1.8176,1.8054,1.7708,1.6976,1.5905,1.4621,1.2957,1.1038,0.92037,0.72853,0.56059,0.3885,0.2282,0.07079,-0.071016,-0.20347,-0.31356,-0.39424,-0.44855,-0.48505,-0.51149,-0.53254,-0.55842,-0.57903,-0.59466,-0.6044,-0.61106,-0.62,-0.62656,-0.62642,-0.62351,-0.62285,-0.62568,-0.62749,-0.62774,-0.62637,-0.62301,-0.62273,-0.62827,-0.63163,-0.6422,-0.66019,-0.68164,-0.70906,-0.73971,-0.76092,-0.77622,-0.78967,-0.80303,-0.81388,-0.82265,-0.82506,-0.82465,-0.8213,-0.81015,-0.79356,-0.78691,-0.77781,-0.7738,-0.77607,-0.78471,-0.79662,-0.80465,-0.80037,-0.79783,-0.79508,-0.79704,-0.80128,-0.80836,1
-0.77913,-0.77838,-0.77574,-0.77625,-0.77317,-0.77388,-0.76896,-0.76205,-0.75863,-0.75558,-0.74829,-0.74474,-0.7394,-0.73748,-0.73211,-0.7288,-0.72499,-0.72197,-0.71743,-0.7147,-0.7111,-0.71048,-0.71123,-0.71224,-0.71015,-0.71222,-0.71263,-0.71648,-0.71751,-0.71799,-0.71834,-0.71793,-0.71721,-0.71666,-0.71495,-0.71247,-0.71044,-0.7025,-0.69806,-0.68871,-0.68753,-0.68591,-0.68495,-0.68521,-0.68722,-0.68347,-0.66694,-0.623,-0.53329,-0.40316,-0.18226,-2.3692,0.16732,-0.8415,0.5169,0.68623,0.76491,0.89838,1.0403,1.2154,1.3877,1.5181,1.6615,1.7312,1.745,1.7495,1.7561,1.7681,1.7702,1.7762,1.7705,1.7702,1.785,1.7845,1.7775,1.7747,1.7747,1.773,1.7681,1.771,1.7662,1.7604,1.7568,1.7445,1.7327,1.7254,1.7071,1.6791,1.5968,1.5051,1.4018,1.2737,1.1717,1.0426,0.92565,0.82074,0.7821,0.52741,0.44066,0.24082,-0.034898,-0.16803,-0.32261,-0.4994,-0.60413,-0.67618,-0.71966,-0.73853,-0.73307,-0.7093,-0.67441,-0.63836,-0.6076,-0.58273,-0.57497,-0.56793,-0.56404,-0.56232,-0.5578,-0.5497,-0.54054,-0.5337,-0.53461,-0.52776,-0.52143,-0.5186,-0.51439,-0.50992,-0.50954,-0.51249,-0.51424,-0.513,-0.51596,-0.51494,-0.51681,-0.51373,-0.51482,-0.51156,-0.51063,-0.50862,-0.51214,-0.51271,-0.51012,-0.51187,-0.51188,-0.50718,-0.50696,-0.50501,-0.50373,-0.50438,2
-0.70303,-0.70262,-0.7025,-0.70136,-0.70045,-0.70056,-0.70097,-0.70113,-0.70218,-0.70177,-0.70215,-0.70309,-0.70231,-0.70208,-0.70098,-0.7006,-0.69995,-0.69847,-0.69863,-0.69977,-0.69925,-0.69749,-0.69596,-0.69521,-0.69438,-0.69338,-0.69194,-0.69144,-0.69198,-0.69052,-0.69041,-0.69014,-0.68912,-0.68001,-0.65143,-0.62239,-0.59857,-0.60047,-0.60545,-0.61995,-0.63402,-0.6319,-0.60964,-0.58932,-0.58083,-0.57346,-0.53587,-0.46168,-0.32498,-0.13517,0.074279,0.33624,0.59023,0.82326,1.0587,1.3079,1.5335,1.7226,1.8053,1.83,1.8364,1.838,1.8417,1.8426,1.8447,1.843,1.845,1.8448,1.8481,1.8484,1.8447,1.8444,1.842,1.8415,1.8388,1.8358,1.8358,1.836,1.8343,1.8264,1.8238,1.8054,1.7819,1.7286,1.6499,1.5329,1.3929,1.2249,1.0467,0.86937,0.69747,0.54554,0.38931,0.20672,0.035792,-0.090926,-0.2287,-0.34491,-0.43918,-0.50599,-0.54243,-0.56875,-0.58658,-0.59899,-0.60012,-0.60231,-0.60391,-0.60818,-0.6079,-0.60699,-0.60523,-0.59475,-0.57329,-0.54547,-0.51833,-0.48512,-0.44188,-0.41488,-0.40864,-0.42688,-0.45623,-0.50398,-0.55318,-0.60512,-0.64878,-0.68814,-0.71272,-0.72431,-0.72823,-0.72739,-0.72803,-0.7238,-0.71407,-0.70227,-0.68975,-0.67662,-0.6646,-0.6534,-0.64165,-0.63983,-0.64013,-0.64071,-0.6398,-0.63955,-0.63783,-0.6392,-0.64026,-0.64113,-0.64141,-0.64211,1
-1.4357,-1.4323,-1.4329,-1.4316,-1.4326,-1.4323,-1.4335,-1.4324,-1.4333,-1.43,-1.4297,-1.4291,-1.4293,-1.4267,-1.4267,-1.4238,-1.4258,-1.4262,-1.426,-1.4103,-1.3346,-1.2089,-1.0004,-0.75366,-0.46417,-0.19393,0.002154,0.25183,0.40864,0.54003,0.62456,0.68736,0.71154,0.7364,0.73681,0.74539,0.74814,0.7526,0.77412,0.7749,0.77177,0.78379,0.78556,0.78829,0.79079,0.78666,0.78843,0.7867,0.7886,0.79457,0.78568,0.78785,0.79121,0.78589,0.78513,0.79322,0.79275,0.78998,0.79245,0.79109,0.79156,0.79274,0.79131,0.7936,0.79335,0.78447,0.78341,0.78524,0.79024,0.78084,0.78167,0.78368,0.786,0.78779,0.78659,0.78636,0.78636,0.78452,0.78311,0.77928,0.77862,0.77801,0.78166,0.78582,0.78771,0.78849,0.78702,0.78495,0.78601,0.78821,0.78474,0.78613,0.78044,0.78221,0.77781,0.77461,0.77474,0.77869,0.777,0.7711,0.78101,0.77961,0.77281,0.78031,0.77977,0.7843,0.78724,0.78711,0.78391,0.77778,0.75371,0.73034,0.70329,0.66535,0.63723,0.60239,0.54344,0.49439,0.40569,0.28903,0.17029,0.027367,-0.15554,-0.31018,-0.49436,-0.67246,-0.85233,-1.0449,-1.2085,-1.3432,-1.4532,-1.5292,-1.5722,-1.5874,-1.5864,-1.5781,-1.5572,-1.5357,-1.5115,-1.4924,-1.478,-1.4619,-1.4474,-1.4389,-1.4378,-1.4369,-1.4345,-1.4355,-1.4353,-1.4309,2
-1.4357,-1.4323,-1.4329,-1.4316,-1.4326,-1.4323,-1.4335,-1.4324,-1.4333,-1.43,-1.4297,-1.4291,-1.4293,-1.4267,-1.4267,-1.4238,-1.4258,-1.4262,-1.426,-1.4103,-1.3346,-1.2089,-1.0004,-0.75366,-0.46417,-0.19393,0.002154,0.25183,0.40864,0.54003,0.62456,0.68736,0.71154,0.7364,0.73681,0.74539,0.74814,0.7526,0.77412,0.7749,0.77177,0.78379,0.78556,0.78829,0.79079,0.78666,0.78843,0.7867,0.7886,0.79457,0.78568,0.78785,0.79121,0.78589,0.78513,0.79322,0.79275,0.78998,0.79245,0.79109,0.79156,0.79274,0.79131,0.7936,0.79335,0.78447,0.78341,0.78524,0.79024,0.78084,0.78167,0.78368,0.786,0.78779,0.78659,0.78636,0.78636,0.78452,0.78311,0.77928,0.77862,0.77801,0.78166,0.78582,0.78771,0.78849,0.78702,0.78495,0.78601,0.78821,0.78474,0.78613,0.78044,0.78221,0.77781,0.77461,0.77474,0.77869,0.777,0.7711,0.78101,0.77961,0.77281,0.78031,0.77977,0.7843,0.78724,0.78711,0.78391,0.77778,0.75371,0.73034,0.70329,0.66535,0.63723,0.60239,0.54344,0.49439,0.40569,0.28903,0.17029,0.027367,-0.15554,-0.31018,-0.49436,-0.67246,-0.85233,-1.0449,-1.2085,-1.3432,-1.4532,-1.5292,-1.5722,-1.5874,-1.5864,-1.5781,-1.5572,-1.5357,-1.5115,-1.4924,-1.478,-1.4619,-1.4474,-1.4389,-1.4378,-1.4369,-1.4345,-1.4355,-1.4353,-1.4309,2
1 change: 0 additions & 1 deletion sktime/datatypes/_series/_mtypes.py
Expand Up @@ -29,7 +29,6 @@
import numpy as np
import pandas as pd


#########################################################
# methods to infer the machine type subject to a scitype
#########################################################
Expand Down

0 comments on commit 80e0fd6

Please sign in to comment.