qheath c8523a2716 various minor bugfixes + warningfixes (#2878)
* fix unclosed file descriptors

* remove various compiler warnings

sometimes it was only ambiguous indentation, sometimes bugs were fixed:

- forgotten `break;` instructions or `fallthrough` annotations:
  - src/ANT/ANTChannel.cpp
  - src/Charts/CriticalPowerWindow.cpp
  - src/Charts/MUPlot.cpp
  - src/Core/DataFilter.cpp
  - src/FileIO/RideFileCache.cpp
  - src/FileIO/RideFileCommand.cpp
  - src/Train/DialWindow.cpp
- forgotten braces:
  - lmfit/lmmin.c
  - src/FileIO/XDataDialog.cpp
- test on the wrong variables:
  - src/Gui/Pages.cpp
- wrong parenthesis
  - src/Charts/CPPlot.cpp
- missing macro argument
  - src/Cloud/WithingsDownload.cpp
- missing `return;` statement
  - src/Cloud/Xert.cpp
- unused variables
  - src/Gui/DiarySidebar.cpp
- unclear indentation
  - src/Core/RideItem.cpp
  - src/FileIO/BinRideFile.cpp
  - src/Metrics/PaceZones.cpp
  - src/Metrics/RideMetadata.cpp
  - src/Metrics/Zones.cpp

* remove unnecessary Leaf::Parameters enum value from data filters

lists of parameters don't exist as such outside of the parser, and have
no business using the same type `Leaf` as complete terms anyway

* remove unnecessary argument

`leaf1.print(leaf2,...)` would print `leaf2` and completely ignore
`leaf1`, so now `leaf2.print(...)` is used instead
2018-05-30 13:33:02 +01:00
2018-02-12 13:44:32 +00:00
2018-05-16 14:41:49 +01:00
2015-09-18 08:49:39 +01:00
2017-03-02 07:34:24 +01:00
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2018-02-15 15:25:54 +00:00
2018-03-31 12:44:47 +01:00
2018-03-17 16:38:36 +01:00
2015-11-14 21:53:15 +00:00
2015-11-25 19:48:42 +00:00
2017-10-27 20:32:21 -04:00
2017-02-25 14:07:54 +01:00
2017-11-07 21:38:24 -05:00

GoldenCheetah

About

GoldenCheetah is an open-source data analysis tool primarily written in C++ with Qt for cyclists and triathletes with support for training as well.

GoldenCheetah can connect with indoor trainers and cycling equipment such as cycling computers and power meters to import data.

In addition, GoldenCheetah can connect to cloud services.

It can then manipulate and view the data, as well as analyze it.

Installing

Golden Cheetah install and build instructions are documented for each platform;

INSTALL-WIN32 For building on Microsoft Windows

INSTALL-LINUX For building on Linux

INSTALL-MAC For building on Apple OS X

OSX: Build Status

Windows: Build status

Coverity Status

Alternatively, official builds are available from http://www.goldencheetah.org

whilst the latest developer builds are available from https://github.com/GoldenCheetah/GoldenCheetah/releases

Languages
Standard ML 68.3%
C++ 28.1%
C 2.7%
Yacc 0.2%
QMake 0.2%
Other 0.1%