<html><body>
<p>1 new commit in yt:</p>
<p><a href="https://bitbucket.org/yt_analysis/yt/commits/d18f33211199/">https://bitbucket.org/yt_analysis/yt/commits/d18f33211199/</a> Changeset: d18f33211199 Branch: yt User: ngoldbaum Date: 2016-03-31 18:28:04+00:00 Summary: Merged in migueldvb/yt (pull request #2073)</p>
<p>Update latex commands in yt cheatsheet Affected #: 1 file</p>
<p>diff -r 4cb2ccc2ff3c145dd52c8405d3894dc1a15bcebb -r d18f33211199f71e2fac4d927307b015d513a328 doc/cheatsheet.tex --- a/doc/cheatsheet.tex +++ b/doc/cheatsheet.tex @@ -7,12 +7,12 @@</p>
<pre>% To make this come out properly in landscape mode, do one of the following
% 1.</pre>
<p>-% pdflatex latexsheet.tex +% pdflatex cheatsheet.tex</p>
<pre>%
% 2.</pre>
<p>-% latex latexsheet.tex -% dvips -P pdf -t landscape latexsheet.dvi -% ps2pdf latexsheet.ps +% latex cheatsheet.tex +% dvips -P pdf -t landscape cheatsheet.dvi +% ps2pdf cheatsheet.ps</p>
<pre>% If you're reading this, be prepared for confusion. Making this was</pre>
<p>@@ -45,7 +45,7 @@</p>
<pre>% Turn off header and footer
\pagestyle{empty}</pre>
<p>– +</p>
<pre>% Redefine section commands to use less space
\makeatletter</pre>
<p>@@ -117,26 +117,26 @@</p>
<pre>including a list of the available flags.
\texttt{iyt}\textemdash\ Load yt and IPython. \\</pre>
<p>-\texttt{yt load} {\it dataset} \textemdash\ Load a single dataset. \\ +\texttt{yt load} \textit{dataset} \textemdash\ Load a single dataset. \\</p>
<pre>\texttt{yt help} \textemdash\ Print yt help information. \\</pre>
<p>-\texttt{yt stats} {\it dataset} \textemdash\ Print stats of a dataset. \\ +\texttt{yt stats} \textit{dataset} \textemdash\ Print stats of a dataset. \\</p>
<pre>\texttt{yt update} \textemdash\ Update yt to most recent version.\\
\texttt{yt update --all} \textemdash\ Update yt and dependencies to most recent version. \\
\texttt{yt version} \textemdash\ yt installation information. \\
\texttt{yt notebook} \textemdash\ Run the IPython notebook server. \\</pre>
<p>-\texttt{yt upload\_image} {\it image.png} \textemdash\ Upload PNG image to imgur.com. \\ -\texttt{yt upload\_notebook} {\it notebook.nb} \textemdash\ Upload IPython notebook to hub.yt-project.org.\\ -\texttt{yt plot} {\it dataset} \textemdash\ Create a set of images.\\ -\texttt{yt render} {\it dataset} \textemdash\ Create a simple +\texttt{yt upload\_image} \textit{image.png} \textemdash\ Upload PNG image to imgur.com. \\ +\texttt{yt upload\_notebook} \textit{notebook.nb} \textemdash\ Upload IPython notebook to hub.yt-project.org.\\ +\texttt{yt plot} \textit{dataset} \textemdash\ Create a set of images.\\ +\texttt{yt render} \textit{dataset} \textemdash\ Create a simple</p>
<pre>volume rendering. \\</pre>
<p>-\texttt{yt mapserver} {\it dataset} \textemdash\ View a plot/projection in a Gmaps-like +\texttt{yt mapserver} \textit{dataset} \textemdash\ View a plot/projection in a Gmaps-like</p>
<pre>interface. \\</pre>
<p>-\texttt{yt pastebin} {\it text.out} \textemdash\ Post text to the pastebin at</p>
<ul><li><p>paste.yt-project.org. \\</p></li></ul>
<p>-\texttt{yt pastebin\_grab} {\it identifier} \textemdash\ Print content of pastebin to +\texttt{yt pastebin} \textit{text.out} \textemdash\ Post text to the pastebin at + paste.yt-project.org. \\ +\texttt{yt pastebin\_grab} \textit{identifier} \textemdash\ Print content of pastebin to</p>
<pre> STDOUT. \\
\texttt{yt bugreport} \textemdash\ Report a yt bug. \\</pre>
<p>-\texttt{yt hop} {\it dataset} \textemdash\ Run hop on a dataset. \\ +\texttt{yt hop} \textit{dataset} \textemdash\ Run hop on a dataset. \\</p>
<pre>\subsection{yt Imports}
In order to use yt, Python must load the relevant yt modules into memory.</pre>
<p>@@ -144,15 +144,15 @@</p>
<pre>used as part of a script.
\newlength{\MyLen}
\settowidth{\MyLen}{\texttt{letterpaper}/\texttt{a4paper} \ }</pre>
<p>-\texttt{import yt} \textemdash\ +\texttt{import yt} \textemdash\</p>
<pre>Load yt. \\</pre>
<p>-\texttt{from yt.config import ytcfg} \textemdash\ +\texttt{from yt.config import ytcfg} \textemdash\</p>
<pre>Used to set yt configuration options.
If used, must be called before importing any other module.\\</pre>
<p>-\texttt{from yt.analysis\_modules.\emph{halo\_finding}.api import \textasteriskcentered} \textemdash\ +\texttt{from yt.analysis\_modules.\emph{halo\_finding}.api import \textasteriskcentered} \textemdash\</p>
<pre>Load halo finding modules. Other modules</pre>
<p>-are loaded in a similar way by swapping the -{\em emphasized} text. +are loaded in a similar way by swapping the +\emph{emphasized} text.</p>
<pre>See the \textbf{Analysis Modules} section for a listing and short descriptions of each.
\subsection{YTArray}</pre>
<p>@@ -163,32 +163,32 @@</p>
<pre>very brief list of some useful ones.
\settowidth{\MyLen}{\texttt{multicol} }\\
\texttt{v = a.in\_cgs()} \textemdash\ Return the array in CGS units \\</pre>
<p>-\texttt{v = a.in\_units('Msun/pc**3')} \textemdash\ Return the array in solar masses per cubic parsec \\ +\texttt{v = a.in\_units('Msun/pc**3')} \textemdash\ Return the array in solar masses per cubic parsec \\</p>
<pre>\texttt{v = a.max(), a.min()} \textemdash\ Return maximum, minimum of \texttt{a}. \\
\texttt{index = a.argmax(), a.argmin()} \textemdash\ Return index of max,
min value of \texttt{a}.\\</pre>
<p>-\texttt{v = a[}{\it index}\texttt{]} \textemdash\ Select a single value from \texttt{a} at location {\it index}.\\ -\texttt{b = a[}{\it i:j}\texttt{]} \textemdash\ Select the slice of values from +\texttt{v = a[}\textit{index}\texttt{]} \textemdash\ Select a single value from \texttt{a} at location \textit{index}.\\ +\texttt{b = a[}\textit{i:j}\texttt{]} \textemdash\ Select the slice of values from</p>
<pre>\texttt{a} between</pre>
<p>-locations {\it i} to {\it j-1} saved to a new Numpy array \texttt{b} with length {\it j-i}. \\ +locations \textit{i} to \textit{j-1} saved to a new Numpy array \texttt{b} with length \textit{j-i}. \\</p>
<pre>\texttt{sel = (a > const)} \textemdash\ Create a new boolean Numpy array
\texttt{sel}, of the same shape as \texttt{a},
that marks which values of \texttt{a > const}. Other operators (e.g. \textless, !=, \%) work as well.\\
\texttt{b = a[sel]} \textemdash\ Create a new Numpy array \texttt{b} made up of
elements from \texttt{a} that correspond to elements of \texttt{sel}</pre>
<p>-that are {\it True}. In the above example \texttt{b} would be all elements of \texttt{a} that are greater than \texttt{const}.\\ -\texttt{a.write\_hdf5({\it filename.h5})} \textemdash\ Save \texttt{a} to the hdf5 file {\it filename.h5}.\\ +that are \textit{True}. In the above example \texttt{b} would be all elements of \texttt{a} that are greater than \texttt{const}.\\ +\texttt{a.write\_hdf5(\textit{filename.h5})} \textemdash\ Save \texttt{a} to the hdf5 file \textit{filename.h5}.\\</p>
<pre>\subsection{IPython Tips}
\settowidth{\MyLen}{\texttt{multicol} }
These tips work if IPython has been loaded, typically either by invoking
\texttt{iyt} or \texttt{yt load} on the command line, or using the IPython notebook (\texttt{yt notebook}).
\texttt{Tab complete} \textemdash\ IPython will attempt to auto-complete a</pre>
<p>-variable or function name when the \texttt{Tab} key is pressed, e.g. {\it HaloFi}\textendash\texttt{Tab} would auto-complete -to {\it HaloFinder}. This also works with imports, e.g. {\it from numpy.random.}\textendash\texttt{Tab} +variable or function name when the \texttt{Tab} key is pressed, e.g. \textit{HaloFi}\textendash\texttt{Tab} would auto-complete +to \textit{HaloFinder}. This also works with imports, e.g. \textit{from numpy.random.}\textendash\texttt{Tab}</p>
<pre>would give you a list of random functions (note the trailing period before hitting \texttt{Tab}).\\
\texttt{?, ??} \textemdash\ Appending one or two question marks at the end of any object gives you</pre>
<p>-detailed information about it, e.g. {\it variable\_name}?.\\ +detailed information about it, e.g. \textit{variable\_name}?.\\</p>
<pre>Below a few IPython ``magics'' are listed, which are IPython-specific shortcut commands.\\
\texttt{\%paste} \textemdash\ Paste content from the system clipboard into the IPython shell.\\
\texttt{\%hist} \textemdash\ Print recent command history.\\</pre>
<p>@@ -204,40 +204,40 @@</p>
<pre>\subsection{Load and Access Data}
The first step in using yt is to reference a simulation snapshot.</pre>
<p>-After that, simulation data is generally accessed in yt using {\it Data Containers} which are Python objects +After that, simulation data is generally accessed in yt using \textit{Data Containers} which are Python objects</p>
<pre>that define a region of simulation space from which data should be selected.
\settowidth{\MyLen}{\texttt{multicol} }</pre>
<p>-\texttt{ds = yt.load(}{\it dataset}\texttt{)} \textemdash\ Reference a single snapshot.\\ +\texttt{ds = yt.load(}\textit{dataset}\texttt{)} \textemdash\ Reference a single snapshot.\\</p>
<pre>\texttt{dd = ds.all\_data()} \textemdash\ Select the entire volume.\\</pre>
<p>-\texttt{a = dd[}{\it field\_name}\texttt{]} \textemdash\ Copies the contents of {\it field} into the +\texttt{a = dd[}\textit{field\_name}\texttt{]} \textemdash\ Copies the contents of \textit{field} into the</p>
<pre>YTArray \texttt{a}. Similarly for other data containers.\\
\texttt{ds.field\_list} \textemdash\ A list of available fields in the snapshot. \\
\texttt{ds.derived\_field\_list} \textemdash\ A list of available derived fields
in the snapshot. \\
\texttt{val, loc = ds.find\_max("Density")} \textemdash\ Find the \texttt{val}ue of
the maximum of the field \texttt{Density} and its \texttt{loc}ation. \\</pre>
<p>-\texttt{sp = ds.sphere(}{\it cen}\texttt{,}{\it radius}\texttt{)} \textemdash\ Create a spherical data -container. {\it cen} may be a coordinate, or ``max'' which -centers on the max density point. {\it radius} may be a float in -code units or a tuple of ({\it length, unit}).\\ +\texttt{sp = ds.sphere(}\textit{cen}\texttt{,}\textit{radius}\texttt{)} \textemdash\ Create a spherical data +container. \textit{cen} may be a coordinate, or ``max'' which +centers on the max density point. \textit{radius} may be a float in +code units or a tuple of (\textit{length, unit}).\\</p>
<p>-\texttt{re = ds.region({\it cen}, {\it left edge}, {\it right edge})} \textemdash\ Create a -rectilinear data container. {\it cen} is required but not used. -{\it left} and {\it right edge} are coordinate values that define the region. +\texttt{re = ds.region(\textit{cen}, \textit{left edge}, \textit{right edge})} \textemdash\ Create a +rectilinear data container. \textit{cen} is required but not used. +\textit{left} and \textit{right edge} are coordinate values that define the region.</p>
<p>-\texttt{di = ds.disk({\it cen}, {\it normal}, {\it radius}, {\it height})} \textemdash\ -Create a cylindrical data container centered at {\it cen} along the -direction set by {\it normal},with total length</p>
<ul><li><p>2$\times${\it height} and with radius {\it radius}. \\</p></li></ul>
<p>– -\texttt{ds.save\_object(sp, {\it ``sp\_for\_later''})} \textemdash\ Save an object (\texttt{sp}) for later use.\\ -\texttt{sp = ds.load\_object({\it ``sp\_for\_later''})} \textemdash\ Recover a saved object.\\ +\texttt{di = ds.disk(\textit{cen}, \textit{normal}, \textit{radius}, \textit{height})} \textemdash\ +Create a cylindrical data container centered at \textit{cen} along the +direction set by \textit{normal},with total length + 2$\times$\textit{height} and with radius \textit{radius}. \\ + +\texttt{ds.save\_object(sp, \textit{``sp\_for\_later''})} \textemdash\ Save an object (\texttt{sp}) for later use.\\ +\texttt{sp = ds.load\_object(\textit{``sp\_for\_later''})} \textemdash\ Recover a saved object.\\</p>
<pre>\subsection{Defining New Fields}</pre>
<p>-\texttt{yt} expects on-disk fields, fields generated on-demand and in-memory. +\texttt{yt} expects on-disk fields, fields generated on-demand and in-memory.</p>
<pre>Field can either be created before a dataset is loaded using \texttt{add\_field}:</pre>
<p>-\texttt{def \_metal\_mass({\it field},{\it data})}\\ +\texttt{def \_metal\_mass(\textit{field},\textit{data})}\\</p>
<pre>\texttt{\hspace{4 mm} return data["metallicity"]*data["cell\_mass"]}\\
\texttt{add\_field("metal\_mass", units='g', function=\_metal\_mass)}\\
Or added to an existing dataset using \texttt{ds.add\_field}:</pre>
<p>@@ -245,34 +245,34 @@</p>
<pre>\subsection{Slices and Projections}
\settowidth{\MyLen}{\texttt{multicol} }</pre>
<p>-\texttt{slc = yt.SlicePlot(ds, {\it axis or normal vector}, {\it field}, {\it center=}, {\it width=}, {\it weight\_field=}, {\it additional parameters})} \textemdash\ Make a slice plot -perpendicular to {\it axis} (specified via ‘x’, ‘y’, or ‘z’) or a normal vector for an off-axis slice of {\it field} weighted by {\it weight\_field} at (code-units) {\it center} with -{\it width} in code units or a (value, unit) tuple. Hint: try {\it yt.SlicePlot?} in IPython to see additional parameters.\\ -\texttt{slc.save({\it file\_prefix})} \textemdash\ Save the slice to a png with name prefix {\it file\_prefix}. +\texttt{slc = yt.SlicePlot(ds, \textit{axis or normal vector}, \textit{field}, \textit{center=}, \textit{width=}, \textit{weight\_field=}, \textit{additional parameters})} \textemdash\ Make a slice plot +perpendicular to \textit{axis} (specified via ‘x’, ‘y’, or ‘z’) or a normal vector for an off-axis slice of \textit{field} weighted by \textit{weight\_field} at (code-units) \textit{center} with +\textit{width} in code units or a (value, unit) tuple. Hint: try \textit{yt.SlicePlot?} in IPython to see additional parameters.\\ +\texttt{slc.save(\textit{file\_prefix})} \textemdash\ Save the slice to a png with name prefix \textit{file\_prefix}.</p>
<pre>\texttt{.save()} works similarly for the commands below.\\
</pre>
<p>-\texttt{prj = yt.ProjectionPlot(ds, {\it axis}, {\it field}, {\it addit. params})} \textemdash\ Make a projection. \\ -\texttt{prj = yt.OffAxisProjectionPlot(ds, {\it normal}, {\it fields}, {\it center=}, {\it width=}, {\it depth=},{\it north\_vector=},{\it weight\_field=})} \textemdash Make an off axis projection. Note this takes an array of fields. \\ +\texttt{prj = yt.ProjectionPlot(ds, \textit{axis}, \textit{field}, \textit{addit. params})} \textemdash\ Make a projection. \\ +\texttt{prj = yt.OffAxisProjectionPlot(ds, \textit{normal}, \textit{fields}, \textit{center=}, \textit{width=}, \textit{depth=},\textit{north\_vector=},\textit{weight\_field=})} \textemdash Make an off axis projection. Note this takes an array of fields. \\</p>
<pre>\subsection{Plot Annotations}
\settowidth{\MyLen}{\texttt{multicol} }</pre>
<p>-Plot callbacks are functions itemized in a registry that is attached to every plot object. They can be accessed and then called like \texttt{ prj.annotate\_velocity(factor=16, normalize=False)}. Most callbacks also accept a {\it plot\_args} dict that is fed to matplotlib annotator. \\ -\texttt{velocity({\it factor=},{\it scale=},{\it scale\_units=}, {\it normalize=})} \textemdash\ Uses field “x-velocity” to draw quivers\\ -\texttt{magnetic\_field({\it factor=},{\it scale=},{\it scale\_units=}, {\it normalize=})} \textemdash\ Uses field “Bx” to draw quivers\\ -\texttt{quiver({\it field\_x},{\it field\_y},{\it factor=},{\it scale=},{\it scale\_units=}, {\it normalize=})} \\ -\texttt{contour({\it field=},{\it ncont=},{\it factor=},{\it clim=},{\it take\_log=}, {\it additional parameters})} \textemdash Plots a number of contours {\it ncont} to interpolate {\it field} optionally using {\it take\_log}, upper and lower {\it c}ontour{\it lim}its and {\it factor} number of points in the interpolation.\\ -\texttt{grids({\it alpha=}, {\it draw\_ids=}, {\it periodic=}, {\it min\_level=}, {\it max\_level=})} \textemdash Add grid boundaries. \\ -\texttt{streamlines({\it field\_x},{\it field\_y},{\it factor=},{\it density=})}\\ -\texttt{clumps({\it clumplist})} \textemdash\ Generate {\it clumplist} using the clump finder and plot. \\ -\texttt{arrow({\it pos}, {\it code\_size})} Add an arrow at a {\it pos}ition. \\ -\texttt{point({\it pos}, {\it text})} \textemdash\ Add text at a {\it pos}ition. \\ -\texttt{marker({\it pos}, {\it marker=})} \textemdash\ Add a matplotlib-defined marker at a {\it pos}ition. \\ -\texttt{sphere({\it center}, {\it radius}, {\it text=})} \textemdash\ Draw a circle and append {\it text}.\\ -\texttt{hop\_circles({\it hop\_output}, {\it max\_number=}, {\it annotate=}, {\it min\_size=}, {\it max\_size=}, {\it font\_size=}, {\it print\_halo\_size=}, {\it fixed\_radius=}, {\it min\_mass=}, {\it print\_halo\_mass=}, {\it width=})} \textemdash\ Draw a halo, printing it's ID, mass, clipping halos depending on number of particles ({\it size}) and optionally fixing the drawn circle radius to be constant for all halos.\\ -\texttt{hop\_particles({\it hop\_output},{\it max\_number=},{\it p\_size=},\\ -{\it min\_size},{\it alpha=})} \textemdash\ Draw particle positions for member halos with a certain number of pixels per particle.\\ -\texttt{particles({\it width},{\it p\_size=},{\it col=}, {\it marker=}, {\it stride=}, {\it ptype=}, {\it stars\_only=}, {\it dm\_only=}, {\it minimum\_mass=}, {\it alpha=})} \textemdash\ Draw particles of {\it p\_size} pixels in a slab of {\it width} with {\it col}or using a matplotlib {\it marker} plotting only every {\it stride} number of particles.\\ -\texttt{title({\it text})}\\ +Plot callbacks are functions itemized in a registry that is attached to every plot object. They can be accessed and then called like \texttt{ prj.annotate\_velocity(factor=16, normalize=False)}. Most callbacks also accept a \textit{plot\_args} dict that is fed to matplotlib annotator. \\ +\texttt{velocity(\textit{factor=},\textit{scale=},\textit{scale\_units=}, \textit{normalize=})} \textemdash\ Uses field “x-velocity” to draw quivers\\ +\texttt{magnetic\_field(\textit{factor=},\textit{scale=},\textit{scale\_units=}, \textit{normalize=})} \textemdash\ Uses field “Bx” to draw quivers\\ +\texttt{quiver(\textit{field\_x},\textit{field\_y},\textit{factor=},\textit{scale=},\textit{scale\_units=}, \textit{normalize=})} \\ +\texttt{contour(\textit{field=},\textit{ncont=},\textit{factor=},\textit{clim=},\textit{take\_log=}, \textit{additional parameters})} \textemdash Plots a number of contours \textit{ncont} to interpolate \textit{field} optionally using \textit{take\_log}, upper and lower \textit{c}ontour\textit{lim}its and \textit{factor} number of points in the interpolation.\\ +\texttt{grids(\textit{alpha=}, \textit{draw\_ids=}, \textit{periodic=}, \textit{min\_level=}, \textit{max\_level=})} \textemdash Add grid boundaries. \\ +\texttt{streamlines(\textit{field\_x},\textit{field\_y},\textit{factor=},\textit{density=})}\\ +\texttt{clumps(\textit{clumplist})} \textemdash\ Generate \textit{clumplist} using the clump finder and plot. \\ +\texttt{arrow(\textit{pos}, \textit{code\_size})} Add an arrow at a \textit{pos}ition. \\ +\texttt{point(\textit{pos}, \textit{text})} \textemdash\ Add text at a \textit{pos}ition. \\ +\texttt{marker(\textit{pos}, \textit{marker=})} \textemdash\ Add a matplotlib-defined marker at a \textit{pos}ition. \\ +\texttt{sphere(\textit{center}, \textit{radius}, \textit{text=})} \textemdash\ Draw a circle and append \textit{text}.\\ +\texttt{hop\_circles(\textit{hop\_output}, \textit{max\_number=}, \textit{annotate=}, \textit{min\_size=}, \textit{max\_size=}, \textit{font\_size=}, \textit{print\_halo\_size=}, \textit{fixed\_radius=}, \textit{min\_mass=}, \textit{print\_halo\_mass=}, \textit{width=})} \textemdash\ Draw a halo, printing it's ID, mass, clipping halos depending on number of particles (\textit{size}) and optionally fixing the drawn circle radius to be constant for all halos.\\ +\texttt{hop\_particles(\textit{hop\_output},\textit{max\_number=},\textit{p\_size=},\\ +\textit{min\_size},\textit{alpha=})} \textemdash\ Draw particle positions for member halos with a certain number of pixels per particle.\\ +\texttt{particles(\textit{width},\textit{p\_size=},\textit{col=}, \textit{marker=}, \textit{stride=}, \textit{ptype=}, \textit{stars\_only=}, \textit{dm\_only=}, \textit{minimum\_mass=}, \textit{alpha=})} \textemdash\ Draw particles of \textit{p\_size} pixels in a slab of \textit{width} with \textit{col}or using a matplotlib \textit{marker} plotting only every \textit{stride} number of particles.\\ +\texttt{title(\textit{text})}\\</p>
<pre>\subsection{The $\sim$/.yt/ Directory}
\settowidth{\MyLen}{\texttt{multicol} }</pre>
<p>@@ -297,12 +297,12 @@</p>
<pre>\subsection{Parallel Analysis}</pre>
<p>-\settowidth{\MyLen}{\texttt{multicol}} +\settowidth{\MyLen}{\texttt{multicol}}</p>
<pre>Nearly all of yt is parallelized using</pre>
<p>-MPI. The {\it mpi4py} package must be installed for parallelism in yt. To -install {\it pip install mpi4py} on the command line usually works. +MPI\@. The \textit{mpi4py} package must be installed for parallelism in yt. To +install \textit{pip install mpi4py} on the command line usually works.</p>
<pre>Execute python in parallel similar to this:\\</pre>
<p>-{\it mpirun -n 12 python script.py}\\ +\textit{mpirun -n 12 python script.py}\\</p>
<pre>The file \texttt{script.py} must call the \texttt{yt.enable\_parallelism()} to
turn on yt's parallelism. If this doesn't happen, all cores will execute the
same serial yt script. This command may differ for each system on which you use</pre>
<p>@@ -320,12 +320,12 @@</p>
<pre>\texttt{hg clone https://bitbucket.org/yt\_analysis/yt} \textemdash\ Clone a copy of yt. \\
\texttt{hg status} \textemdash\ Files changed in working directory.\\
\texttt{hg diff} \textemdash\ Print diff of all changed files in working directory. \\</pre>
<p>-\texttt{hg diff -r{\it RevX} -r{\it RevY}} \textemdash\ Print diff of all changes between revision {\it RevX} and {\it RevY}.\\ +\texttt{hg diff -r\textit{RevX} -r\textit{RevY}} \textemdash\ Print diff of all changes between revision \textit{RevX} and \textit{RevY}.\\</p>
<pre>\texttt{hg log} \textemdash\ History of changes.\\</pre>
<p>-\texttt{hg cat -r{\it RevX file}} \textemdash\ Print the contents of {\it file} from revision {\it RevX}.\\ +\texttt{hg cat -r\textit{RevX file}} \textemdash\ Print the contents of \textit{file} from revision \textit{RevX}.\\</p>
<pre>\texttt{hg heads} \textemdash\ Print all the current heads. \\</pre>
<p>-\texttt{hg revert -r{\it RevX file}} \textemdash\ Revert {\it file} to revision {\it RevX}. On-disk changed version is -moved to {\it file.orig}. \\ +\texttt{hg revert -r\textit{RevX file}} \textemdash\ Revert \textit{file} to revision \textit{RevX}. On-disk changed version is +moved to \textit{file.orig}. \\</p>
<pre>\texttt{hg commit} \textemdash\ Commit changes to repository. \\
\texttt{hg push} \textemdash\ Push changes to default remote repository. \\
\texttt{hg pull} \textemdash\ Pull changes from default remote repository. \\</pre>
<p>Repository URL: <a href="https://bitbucket.org/yt_analysis/yt/">https://bitbucket.org/yt_analysis/yt/</a></p>
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