From 62780c81dd815a92dabf4bbe829f6ada82e89f09 Mon Sep 17 00:00:00 2001 From: paxtonfitzpatrick Date: Fri, 29 Sep 2023 14:02:33 -0400 Subject: [PATCH 01/20] some additional wording updates to section 3 --- paper/main.tex | 15 ++++++--------- 1 file changed, 6 insertions(+), 9 deletions(-) diff --git a/paper/main.tex b/paper/main.tex index 587aab1..6c203fe 100644 --- a/paper/main.tex +++ b/paper/main.tex @@ -818,8 +818,8 @@ \section{Illustrative Example}\label{sec:illustrative-example} Next, in lines 31--33, we change the \texttt{pip} executable Davos uses to install smuggled packages (see Sec.~\ref{subsec:config}), storing the default executable's path in a variable before doing so. When Davos's project system is disabled, using a \texttt{pip} executable from a particular Python environment will cause smuggled packages to be installed into (and subsequently loaded from) that environment. The default \texttt{pip\_executable} will install packages into the environment used to run the IPython kernel. -Here, the new value assigned to \texttt{davos.pip\_executable} in line 33 is the output of running ``\texttt{command -v pip}'' as a \texttt{!}-prefixed IPython system shell command in line 32 (``\texttt{command -v}'' outputs the path to an executable, similar to ``\texttt{which}'' but more portable). -Since IPython system shell command are always executed in the notebook server environment, this command's output will be the path to that environment's \texttt{pip} executable---which may or may not be different from the kernel environment's. +Here, the new value assigned to \texttt{davos.pip\_executable} in line 33 is the output of running ``\texttt{command -v pip}'' as a \mbox{\texttt{!}-prefixed} IPython system shell command in line 32 (``\texttt{command -v}'' outputs the path to an executable, similar to ``\texttt{which}'' but more portable). +IPython system shell command are always executed in the notebook server's environment---which may or may not be different from the kernel's environment---so this command's output will be the path to the server environment's \texttt{pip} executable. After smuggling the \texttt{widgetsnbextension} package in line 34, we use the \texttt{davos.use\_default\_project()} function in line 35 to revert to installing package into the notebook's project directory, restore the default value of \texttt{davos.pip\_executable} in line 36, and \texttt{smuggle} the specified version of \texttt{ipywidgets} in line 37. With these two packages now installed @@ -829,18 +829,15 @@ \section{Illustrative Example}\label{sec:illustrative-example} to enable more aesthetically pleasing progress bars that are displayed via \texttt{ipywidgets}, if that package is installed and importable. Therefore, to take advantage of this feature, it was -important to \texttt{smuggle} \texttt{tqdm} after ensuring the -\texttt{ipywidgets} package was available. - -\stoppedhere +important to first ensure ensure that both \texttt{ipywidgets} and \texttt{widgetsnbextension} were available. Next, we load in the reformatted dataset (line 33) and pre-trained model (line 35) that we wish to use in our analysis. In our hypothetical example, we can suppose that the model was provided as a \texttt{scikit-learn} \texttt{Pipeline} object that passes data through two pretrained models in succession. First, a trained \texttt{CountVectorizer} -instance converts text data to an array of word counts. Second, the -word counts are passed to a topic model~\cite{BleiEtal03} using a +instance converts text data to an array of word counts. The +word counts are then passed to a topic model~\cite{BleiEtal03} using a pretrained \texttt{LatentDirichletAllocation} instance. \begin{center} \includegraphics[width=0.9\textwidth]{figs/example8} @@ -854,7 +851,7 @@ \section{Illustrative Example}\label{sec:illustrative-example} the \texttt{Pipeline} object was created using \texttt{scikit-learn} v0.21.3. In that version of \texttt{scikit-learn}, the \texttt{LatentDirichletAllocation} class was defined in -\texttt{sklearn.decomposition.online\_lda}. However, in version +the \texttt{sklearn.decomposition.online\_lda} module. However, in version 0.22.0, that module was renamed to \texttt{\_online\_lda}, and in version 0.22.1, it was again renamed to \texttt{\_lda}. 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Davos uses +\mbox{\texttt{!}-pre}\-fixed shell commands and \mbox{\texttt{\%}-pre}\-fixed ``magic'' commands. Davos uses this same process to invisibly transform \texttt{smuggle} statements into syntactically valid Python code. The Davos parser uses a regular expression to match lines of code containing \texttt{smuggle} @@ -634,8 +634,6 @@ \section{Illustrative Example}\label{sec:illustrative-example} \label{fig:illustrative-example} \end{figure} -%The example code throughout Section \ref{subsec:onion} illustrates how Davos is most typically used: -%By including a series of \texttt{smuggle} statements and onion comments with version specifiers or other options in an IPython notebook, researchers can share their code and its dependencies in a single file that can be easily run without any additional tools or setup, creates and manages its own isolated environment, automatically installs its required packages at runtime, and ensures that the package versions with which it is run do not change unexpectedly. The example code throughout Section \ref{subsec:onion} illustrates a typical use case that we envision for Davos: a series of smuggle statements and onion comments with version specifiers or other options collectively describes and automatically constructs a reproducible environment for running the code that follows it. When added to the top of a Jupyter notebook, this allows researchers to bundle their code and its dependencies into a single file that can be easily shared and run without any additional tools or setup, automatically installs its required packages at runtime, isolates them from the user's main Python environment, and ensures their versions do not change unexpectedly over time. In this section, we have contrived a more complex scenario to highlight some of Davos's more advanced features, and illustrate how they may be used to handle certain challenges that can arise when writing, running, and sharing reproducible scientific code. @@ -667,7 +665,6 @@ \section{Illustrative Example}\label{sec:illustrative-example} The example provided in Figure~\ref{fig:illustrative-example} demonstrates how Davos can be used to circumvent these incompatibilities by temporarily switching between different versions of the same package within a single runtime. -%carefully controlling which versions of each package are used in different parts of the notebook. The example shows how a dataset and model that require now-incompatible components of the \texttt{pandas} and \texttt{scikit-learn}~\cite{PedrEtal11} libraries can be loaded in (using older @@ -680,7 +677,6 @@ \section{Illustrative Example}\label{sec:illustrative-example} After installing and importing Davos (lines 1--2), we first use the \texttt{davos.require\_\-python()} function to constrain the Python version used to run the notebook (see Sec.~\ref{subsec:toplevel}). As described above, the example code in Figure \ref{fig:illustrative-example} loads two different versions of the \texttt{pandas} library: first, an older version needed to access a dataset saved in an outmoded format, then a newer one to use throughout the remainder of the notebook. We therefore want to make sure upfront (in line 6) that the notebook's Python version falls within the range of versions that both of these two versions of \texttt{pandas} support. -%Line 6 therefore ensures upfront that the notebook's Python version falls within the overlap between the ranges of Python versions that these two versions of \texttt{pandas} support. If it does not, the function in line 6 will raise an error that includes a message to this effect (lines 4--5). \begin{center} \includegraphics[width=0.9\textwidth]{figs/example1} @@ -726,7 +722,6 @@ \section{Illustrative Example}\label{sec:illustrative-example} The \texttt{joblib} package has an optional dependency on \texttt{NumPy} for memoizing and parallelizing array operations, and will \texttt{import numpy} internally to enable these features if the package is available. If the user already has \texttt{NumPy} installed in their Python environment when \texttt{joblib} is smuggled in line 9, their installed version is different from the one specified in the onion comment on line 12, and there were changes made to \texttt{NumPy}'s C extensions between those two versions, then Davos will automatically restart the kernel and re-run the lines above. The newly smuggled version would then be used both in the notebook itself and by \texttt{joblib} internally. -% (Note that outside the context of an illustrative example, one could avoid a kernel restart here altogether simply by smuggling \texttt{NumPy} before \texttt{joblib}.) The primary reason for enabling the \texttt{auto\_rerun} option, however, is to manage the installation of \texttt{pandas} in the next lines: \begin{center} @@ -798,11 +793,8 @@ \section{Illustrative Example}\label{sec:illustrative-example} officially released. Targeting specific VCS references (e.g., commits, tags, etc.) can also provide even finer-grained control over smuggled package versions than is possible with traditional version specifiers. In lines 30--37, we demonstrate another aspect of Davos's functionality that supports more advanced installation scenarios. -%The \texttt{ipywidgets}~\cite{FredEtal15} package (also known as Jupyter Widgets) provides a Python API for creating various JavaScript widgets within a notebook, and the \texttt{widgetsnbextension} package provides the JavaScript machinery needed by the the notebook frontend to display them. The \texttt{ipywidgets}~\cite{FredEtal15} package (also known as Jupyter Widgets) provides a Python API for creating interactive JavaScript widgets within a notebook. It depends on the \texttt{widgetsnbextension} package, which provides the JavaScript machinery needed by the notebook frontend to display these widgets. -%A complication is that, while \texttt{ipywidgets} must be installed in a location that is accessible from the IPython kernel (i.e., the Python runtime of the notebook itself), \texttt{widgetsnbextension} must be made accessible to the Jupyter notebook server, which is a separate Python runtime. -%A complication is that, while \texttt{ipywidgets} must be installed in an environment accessible from the IPython kernel (i.e., importable into the notebook itself), \texttt{widgetsnbextension} must be installed in the environment that houses the Jupyter notebook server. A complication is that \texttt{ipywidgets} must be installed in a location that is accessible from the IPython kernel (i.e., the Python runtime within the notebook itself), while \texttt{widgetsnbextension} must be installed in the environment that houses the Jupyter notebook server (a separate Python runtime that serves and manages the notebook frontend client). In many basic setups, the IPython kernel and notebook server exist in the same environment. However, a common ``advanced'' approach entails running the notebook server from a base environment, with additional environments each providing their own separate, interchangeable IPython kernels. @@ -812,7 +804,6 @@ \section{Illustrative Example}\label{sec:illustrative-example} \includegraphics[width=0.9\textwidth]{figs/example7} \end{center} First, in line 30, we set the \texttt{davos.project} attribute to \texttt{None} to temporarily -%disable Davos's project isolation system and allow installing smuggled packages outside of the notebook's project directory. As noted in Section \ref{subsec:projects}, this is typically discouraged, as doing so can risk interfering with the user's Python environment if existing package versions are overwritten. In this particular case, however, a combination of factors make this relatively safe and inconsequential. @@ -873,8 +864,6 @@ \section{Illustrative Example}\label{sec:illustrative-example} \textit{analyze} and manipulate the data and model output using the latest approaches and implementations. -\todo{mention notebook reproducibility, cell order, multiple package versions re: reviewer's comment; note importance of running lines 14--19 \& 38--40 in single cell} - \section{Impact} From ec2bab1cff899ed127abfbe38552b3bff873380d Mon Sep 17 00:00:00 2001 From: paxtonfitzpatrick Date: Sat, 30 Sep 2023 16:20:09 -0400 Subject: [PATCH 12/20] teletype Davos throughout (except Fig 1 caption bold text) --- paper/main.pdf | Bin 1629277 -> 1631637 bytes paper/main.tex | 328 ++++++++++++++++++++++++------------------------- 2 files changed, 164 insertions(+), 164 deletions(-) diff --git a/paper/main.pdf b/paper/main.pdf index 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zxSSY8@okuMG!q9Wd^w0IJuJseRS;YqR!bicY`@zM z6tiz)XR|EDDlm^B25g_#NmxuBR7Z9O-5?X|>Q!dnKG z=y#jppZXiJ$)J%4;(b#=qmq zcU8Pqgt6S~_CNb%H~TGu2@JP|89e}Y5g?f!*j0y6D)>wWVE}HnONg8Ja9H-)_^~H) b1K5@?rb@Fu#3X=W=U``oCL}, -Davos will ensure that \texttt{

    } is included in the module search path (i.e., +\texttt{Davos} will ensure that \texttt{} is included in the module search path (i.e., \texttt{sys.path}), prepending it if necessary, so the package can be loaded. @@ -399,61 +399,61 @@ \subsubsection{Projects}\label{subsec:projects} For example, running a notebook that installs its dependencies via system shell commands (prefixed with ``\texttt{!}'') or IPython magic commands (prefixed with ``\texttt{\%}'') may cause other existing packages in the user's environment to be replaced with alternate versions. This can lead to incompatibilities between installed packages, affect the behavior of the user's other scripts or notebooks, or even interfere with system applications. -To prevent Davos-enhanced notebooks from having unwanted side effects on the user's environment, any packages installed via \texttt{smuggle} statements are automatically isolated using a custom, virtual environment-like system called ``projects.'' -Davos projects are similar to standard Python virtual environments (e.g., created with the standard library's \texttt{venv} module or a third-party tool like \texttt{virtualenv}~\cite{BickEtal07}) but with a few noteworthy differences that make them generally lighter-weight and simpler to use. -Like a standard virtual environment, a Davos project consists of a directory (within a hidden \texttt{.davos} folder in the user's home directory) that houses third-party packages needed for a particular Python project, workflow, or task. -However, unlike standard virtual environments, Davos projects do not need to be manually created, activated, or deactivated, and they function to \textit{extend} the user's existing Python environment rather than replace it. +To prevent \texttt{Davos}-enhanced notebooks from having unwanted side effects on the user's environment, any packages installed via \texttt{smuggle} statements are automatically isolated using a custom, virtual environment-like system called ``projects.'' +\texttt{Davos} projects are similar to standard Python virtual environments (e.g., created with the standard library's \texttt{venv} module or a third-party tool like \texttt{virtualenv}~\cite{BickEtal07}) but with a few noteworthy differences that make them generally lighter-weight and simpler to use. +Like a standard virtual environment, a \texttt{Davos} project consists of a directory (within a hidden \texttt{.davos} folder in the user's home directory) that houses third-party packages needed for a particular Python project, workflow, or task. +However, unlike standard virtual environments, \texttt{Davos} projects do not need to be manually created, activated, or deactivated, and they function to \textit{extend} the user's existing Python environment rather than replace it. -When Davos is imported into a notebook, a project directory for that notebook is automatically created (if it does not exist already). +When \texttt{Davos} is imported into a notebook, a project directory for that notebook is automatically created (if it does not exist already). When \texttt{smuggle} statements within that notebook are executed, any packages (or specific versions of packages) that are not already available in the user's Python environment are installed into the notebook's project directory (along with any missing dependencies of those packages). -During each \texttt{smuggle} statement's execution, Davos also temporarily prepends the notebook's project directory to the module search path so that these project-installed packages are visible when searching for smuggled packages locally, and prioritized over those in the user's main environment. +During each \texttt{smuggle} statement's execution, \texttt{Davos} also temporarily prepends the notebook's project directory to the module search path so that these project-installed packages are visible when searching for smuggled packages locally, and prioritized over those in the user's main environment. -Thus, rather than constructing fully separate Python environments from scratch, Davos projects work by supplementing the user's runtime environment with any additional packages (or specific package versions) needed to satisfy the dependencies of their corresponding notebooks. +Thus, rather than constructing fully separate Python environments from scratch, \texttt{Davos} projects work by supplementing the user's runtime environment with any additional packages (or specific package versions) needed to satisfy the dependencies of their corresponding notebooks. In some cases, this might include every package smuggled into a notebook (e.g., if the notebook is run inside a freshly created, empty virtual environment). In other cases, the user's environment may already provide all required packages, and the notebook's project directory will go unused (in which case it will be deleted automatically when the notebook kernel is shut down). -Regardless of the extent to which the existing environment is augmented, Davos's project system ensures that all smuggled packages are installed locally and loaded successfully at runtime, while the contents of the user's Python environment are never altered. +Regardless of the extent to which the existing environment is augmented, \texttt{Davos}'s project system ensures that all smuggled packages are installed locally and loaded successfully at runtime, while the contents of the user's Python environment are never altered. Additionally, because \texttt{smuggle} statements in a given notebook are evaluated every time the notebook is run, this design ensures that the notebook's requirements will remain satisfied even if the user's Python environment changes. -For example, suppose a user has \texttt{NumPy}~\cite{HarrEtal20} v1.24.3 installed in their current Python environment and runs a Davos-enhanced notebook that smuggles \texttt{NumPy} with ``\texttt{numpy==1.24.3}'' specified in an onion comment (see Sec.~\ref{subsec:onion}). -Since the user's existing version of the package satisfies this requirement, Davos will load it into the notebook. -But if the user later upgrades their environment's \texttt{NumPy} version to v1.25.0 (perhaps as a result of installing a different package that depends on it) and subsequently re-runs this notebook, the local version will longer satisfy this requirement, so Davos will install \texttt{NumPy} v1.24.3 into the notebook's project directory and load that version instead. -From then on, any further changes to the user's \texttt{Numpy} installation would have no effect on Davos's behavior in this particular notebook, as a satisfactory version now exists in its project directory. -(If the version specified in the onion comment were changed, Davos would update the version installed in the project directory accordingly.) -For efficiency, Davos projects will generally not duplicate dependencies already satisfied by the user's Python environment. -However, if desired, adding \texttt{pip}'s \texttt{--ignore-installed} flag to an onion comment in the notebook will cause Davos to install the smuggled package into the project directory whether or not it already exists locally. - -By default, each Davos-enhanced notebook will create and use its own notebook-specific project named for the absolute path to the notebook file. +For example, suppose a user has \texttt{NumPy}~\cite{HarrEtal20} v1.24.3 installed in their current Python environment and runs a \texttt{Davos}-enhanced notebook that smuggles \texttt{NumPy} with ``\texttt{numpy==1.24.3}'' specified in an onion comment (see Sec.~\ref{subsec:onion}). +Since the user's existing version of the package satisfies this requirement, \texttt{Davos} will load it into the notebook. +But if the user later upgrades their environment's \texttt{NumPy} version to v1.25.0 (perhaps as a result of installing a different package that depends on it) and subsequently re-runs this notebook, the local version will longer satisfy this requirement, so \texttt{Davos} will install \texttt{NumPy} v1.24.3 into the notebook's project directory and load that version instead. +From then on, any further changes to the user's \texttt{Numpy} installation would have no effect on \texttt{Davos}'s behavior in this particular notebook, as a satisfactory version now exists in its project directory. +(If the version specified in the onion comment were changed, \texttt{Davos} would update the version installed in the project directory accordingly.) +For efficiency, \texttt{Davos} projects will generally not duplicate dependencies already satisfied by the user's Python environment. +However, if desired, adding \texttt{pip}'s \texttt{--ignore-installed} flag to an onion comment in the notebook will cause \texttt{Davos} to install the smuggled package into the project directory whether or not it already exists locally. + +By default, each \texttt{Davos}-enhanced notebook will create and use its own notebook-specific project named for the absolute path to the notebook file. However, before smuggling its required packages, a notebook may be set to instead use an arbitrarily named, notebook-agnostic project by assigning any (non-empty) string to \texttt{davos.project} (see Sec.~\ref{subsec:config}). -This provides a convenient way for multiple related notebooks that share a common set of requirements to use the same Davos project, by setting \texttt{davos.project} to the same string in each one. -It is also possible (though typically not recommended) to disable Davos's project system and instead install smuggled packages directly into the user's Python environment by setting \texttt{davos.project} to \texttt{None}. +This provides a convenient way for multiple related notebooks that share a common set of requirements to use the same \texttt{Davos} project, by setting \texttt{davos.project} to the same string in each one. +It is also possible (though typically not recommended) to disable \texttt{Davos}'s project system and instead install smuggled packages directly into the user's Python environment by setting \texttt{davos.project} to \texttt{None}. When accessed (unless its value has been set to \texttt{None}), \texttt{davos.project} will evaluate to a \texttt{Project} object that represents the project used by the current notebook (strings assigned to \texttt{davos.project} are converted to \texttt{Project}s internally). This object supports methods for interacting with the current project, including locating its directory within the file system, listing all installed packages' names and versions, changing the project's name, and deleting its contents. -\texttt{Project} instances can also be created and managed programmatically, and Davos provides additional utilities for viewing and working with all existing projects (see Secs.~\ref{subsec:config} and \ref{subsec:toplevel}). +\texttt{Project} instances can also be created and managed programmatically, and \texttt{Davos} provides additional utilities for viewing and working with all existing projects (see Secs.~\ref{subsec:config} and \ref{subsec:toplevel}). -\subsubsection{Configuring and querying Davos}\label{subsec:config} +\subsubsection{Configuring and querying \texttt{Davos}}\label{subsec:config} -After importing Davos into a notebook, the top-level \texttt{davos} module exposes a set of attributes whose values determine various aspects of Davos's behavior. -The majority of these are writeable options that can be modified to customize how, where, and when Davos installs smuggled packages (see Sec.~\ref{sec:illustrative-example} for an illustrative example). +After importing \texttt{Davos} into a notebook, the top-level \texttt{davos} module exposes a set of attributes whose values determine various aspects of \texttt{Davos}'s behavior. +The majority of these are writeable options that can be modified to customize how, where, and when \texttt{Davos} installs smuggled packages (see Sec.~\ref{sec:illustrative-example} for an illustrative example). These include: \begin{itemize} \item \texttt{.active}: This attribute controls whether support for \texttt{smuggle} statements and onion comments is enabled (\texttt{True}) or - disabled (\texttt{False}). When Davos is first imported, + disabled (\texttt{False}). When \texttt{Davos} is first imported, \texttt{davos.active} is set to \texttt{True} (see Sec.~\ref{subsec:implementation} for implementation details and additional information). \item \texttt{.auto\_rerun}: This attribute controls how - Davos behaves when attempting to \texttt{smuggle} a new + \texttt{Davos} behaves when attempting to \texttt{smuggle} a new version of a package that was previously loaded (via an \texttt{import} or \texttt{smuggle} statement) and cannot be reloaded. This can happen if the package includes extension modules that dynamically link C or C++ objects to the Python interpreter, and the code that generates those objects was changed between the previously loaded and to-be-smuggled versions. If this attribute - is set to \texttt{True}, Davos will automatically restart + is set to \texttt{True}, \texttt{Davos} will automatically restart the notebook kernel and re-run all code up to (and including) the current \texttt{smuggle} statement. If set to \texttt{False} (the default), - Davos will instead issue a warning, pause execution, and + \texttt{Davos} will instead issue a warning, pause execution, and prompt the user to either restart and re-run the notebook, or continue running with the previously loaded package version until the next time the kernel is restarted manually. Note that, as of @@ -461,10 +461,10 @@ \subsubsection{Configuring and querying Davos}\label{subsec:config} supported in Google Colaboratory notebooks. \item \texttt{.confirm\_install}: If set to \texttt{True} (default: - \texttt{False}), Davos will require user confirmation + \texttt{False}), \texttt{Davos} will require user confirmation before installing a smuggled package that is not already available locally. This is primarily useful if the user has disabled - Davos's ``project'' system for isolating smuggled packages (see + \texttt{Davos}'s ``project'' system for isolating smuggled packages (see Sec.~\ref{subsec:projects}) but still wants to carefully control what packages are installed into their main Python environment. @@ -474,7 +474,7 @@ \subsubsection{Configuring and querying Davos}\label{subsec:config} disabled. Note that in non-interactive mode, the \texttt{confirm\_install} option is set to \texttt{False}. If \texttt{auto\_rerun} is set to \texttt{False} while in non-interactive - mode, Davos will raise an exception if a smuggled package + mode, \texttt{Davos} will raise an exception if a smuggled package cannot be reloaded, rather than prompting the user. \item \texttt{.pip\_executable}: This attribute's value specifies the @@ -483,16 +483,16 @@ \subsubsection{Configuring and querying Davos}\label{subsec:config} environment and falls back to \texttt{ -m pip} if no executable can be found. -\item \texttt{.project}: This attribute's value is a \texttt{Project} instance representing the Davos project associated with the current notebook. - As described in Section~\ref{subsec:projects}, Davos projects serve to isolate packages installed by \texttt{smuggle} statements from the user's main Python environment, and the \texttt{Project} class provides an interface for inspecting and managing projects at runtime. +\item \texttt{.project}: This attribute's value is a \texttt{Project} instance representing the \texttt{Davos} project associated with the current notebook. + As described in Section~\ref{subsec:projects}, \texttt{Davos} projects serve to isolate packages installed by \texttt{smuggle} statements from the user's main Python environment, and the \texttt{Project} class provides an interface for inspecting and managing projects at runtime. This attribute's default value is a notebook-specific project named for the absolute path to the notebook file. To change the project used in the current notebook (e.g., in order to use the same project in multiple related notebooks), this attribute may be assigned a different \texttt{Project} instance or, for simplicity, the name of the desired project as a string or \texttt{pathlib.Path} (either of which will be converted to a \texttt{Project} on assignment). - Alternatively, setting \texttt{davos.project} to \texttt{None} will disable project-based isolation for the current notebook and cause Davos to install any missing packages directly into the main Python environment. + Alternatively, setting \texttt{davos.project} to \texttt{None} will disable project-based isolation for the current notebook and cause \texttt{Davos} to install any missing packages directly into the main Python environment. This attribute can be reset to its default value using the top-level \texttt{use\_default\_project()} function (see Sec.~\ref{subsec:toplevel}). - For more information about Davos projects, see Section \ref{subsec:projects}. + For more information about \texttt{Davos} projects, see Section \ref{subsec:projects}. \item \texttt{.suppress\_stdout}: If this attribute is set to - \texttt{True} (default: \texttt{False}), Davos suppresses + \texttt{True} (default: \texttt{False}), \texttt{Davos} suppresses printed (console) outputs from both itself and the installer program. This can be useful when smuggling packages that require installing many dependencies and/or generate extensive output when built from source @@ -503,19 +503,19 @@ \subsubsection{Configuring and querying Davos}\label{subsec:config} \end{itemize} \noindent The attributes above can be modified directly or via the \texttt{davos.configure()} function, which allows setting multiple options simultaneously (see Sec.~\ref{subsec:toplevel} for more information or Sec.~\ref{sec:illustrative-example} for example usage). -In addition to these writeable options, the top-level \texttt{davos} module also provides several read-only attributes that can be displayed in the notebook or checked programmatically at runtime, and contain potentially useful information about the notebook environment or Davos's internal state: +In addition to these writeable options, the top-level \texttt{davos} module also provides several read-only attributes that can be displayed in the notebook or checked programmatically at runtime, and contain potentially useful information about the notebook environment or \texttt{Davos}'s internal state: \begin{itemize} -\item \texttt{.all\_projects}: This attribute contains a list of all Davos projects that exist on the user's local system (see Sec.~\ref{subsec:projects} for more information about Davos projects). +\item \texttt{.all\_projects}: This attribute contains a list of all \texttt{Davos} projects that exist on the user's local system (see Sec.~\ref{subsec:projects} for more information about \texttt{Davos} projects). Each item in this list is either a \texttt{Project} or \texttt{AbstractProject} instance. \texttt{Abstract\-Project}s represent notebook-specific projects whose associated notebooks no longer exist. - They support the same functionality as \texttt{Project} objects (including methods for inspecting, renaming, and deleting them) and serve primarily to help users identify and clean up extraneous projects left behind after deleting Davos-enhanced notebooks (e.g., see Sec.~\ref{subsec:toplevel}). + They support the same functionality as \texttt{Project} objects (including methods for inspecting, renaming, and deleting them) and serve primarily to help users identify and clean up extraneous projects left behind after deleting \texttt{Davos}-enhanced notebooks (e.g., see Sec.~\ref{subsec:toplevel}). -\item \texttt{.environment}: This attribute's value is a string denoting the set of environment-dependent ``helper functions'' used by Davos in the current notebook. - As described in Section \ref{sec:architecture}, Davos internally chooses between interchangeable implementations of certain core features based on various properties of the notebook's frontend and IPython kernel. +\item \texttt{.environment}: This attribute's value is a string denoting the set of environment-dependent ``helper functions'' used by \texttt{Davos} in the current notebook. + As described in Section \ref{sec:architecture}, \texttt{Davos} internally chooses between interchangeable implementations of certain core features based on various properties of the notebook's frontend and IPython kernel. As of this writing, three unique combinations of helper functions are required to support existing notebook environments, ergo this attribute has three possible values: \texttt{"IPython<7.0"}, \texttt{"IPython>=7.0"}, or \texttt{"Colaboratory"}. - However, this attribute could take on additional values in the future as new notebook interfaces are created and IPython's internals are updated, and as additional versions of helper functions are added to Davos to support them. + However, this attribute could take on additional values in the future as new notebook interfaces are created and IPython's internals are updated, and as additional versions of helper functions are added to \texttt{Davos} to support them. \item \texttt{.ipython\_shell}: This attribute contains the global IPython \texttt{InteractiveShell} instance underlying the notebook kernel session. @@ -528,9 +528,9 @@ \subsubsection{Configuring and querying Davos}\label{subsec:config} \noindent The current values of all \texttt{davos} attributes may be viewed at once within a notebook by printing the \texttt{davos.config} object. -\subsubsection{Other top-level Davos functions}\label{subsec:toplevel} +\subsubsection{Other top-level \texttt{Davos} functions}\label{subsec:toplevel} -The Davos package also provides a handful of functions available in the top-level \texttt{davos} namespace. +The \texttt{Davos} package also provides a handful of functions available in the top-level \texttt{davos} namespace. Some of these functions serve primarily as conveniences, while others provide additional functionality: \begin{itemize} @@ -539,51 +539,51 @@ \subsubsection{Other top-level Davos functions}\label{subsec:toplevel} The function accepts attribute names as keyword-only arguments to which their desired values are passed. If any of the options passed are incompatible (e.g., both \texttt{confirm\_install=True} and \texttt{noninteractive=True} are passed) or assignment to any of the specified attributes fails for any reason, none of the given options will be modified. -\item \texttt{get\_project(project\_name, create=False)}: This function can be passed the name of a Davos project (\texttt{project\_name}) to get the \texttt{Project} or \texttt{AbstractProject} instance representing it. +\item \texttt{get\_project(project\_name, create=False)}: This function can be passed the name of a \texttt{Davos} project (\texttt{project\_name}) to get the \texttt{Project} or \texttt{AbstractProject} instance representing it. The optional \texttt{create} argument determines the function's behavior when no project with the given name exists: if \texttt{create=False} (the default), the function will return \texttt{None}; if \texttt{create=True}, a project with the given name will be created and returned. -\item \texttt{prune\_projects(yes=False)}: This function allows users to quickly ``clean up'' their local Davos projects by deleting notebook-specific projects whose corresponding notebooks no longer exist (i.e., \texttt{AbstractProject}s). +\item \texttt{prune\_projects(yes=False)}: This function allows users to quickly ``clean up'' their local \texttt{Davos} projects by deleting notebook-specific projects whose corresponding notebooks no longer exist (i.e., \texttt{AbstractProject}s). As with standard virtual environments, periodically removing unused project directories can be useful for reclaiming disk space from dependencies of code that is no longer in use. By default, this function will interactively display a list of all unused projects and allow the user to choose whether or not to delete each one. Alternatively, passing \texttt{yes=True} will immediately remove all unused projects without prompting for confirmation. - Note that if Davos's non-interactive mode is enabled (see Sec.~\ref{subsec:config}), \texttt{yes=True} must be explicitly passed, otherwise the function will raise an exception. + Note that if \texttt{Davos}'s non-interactive mode is enabled (see Sec.~\ref{subsec:config}), \texttt{yes=True} must be explicitly passed, otherwise the function will raise an exception. This serves as a safeguard against accidentally deleting projects, since non-interactive mode disables all user input and confirmation. Also note that this function will not delete notebook-agnostic projects (i.e., manually created projects whose names are not notebook filepaths), as they are not linked to specific notebooks whose existence determines whether or not they are still needed. These (and any) projects may be deleted individually by calling their \texttt{Project} objects' \texttt{.remove()} method. -\item \texttt{require\_python(version\_spec, warn=False, extra\_msg=None, pre\-re\-leases=\\None)}: Through \texttt{smuggle} statements and onion comments, Davos can automatically ensure that all Python packages needed to run a notebook are installed, and that the same versions of those packages are used no matter when or by whom the notebook is run. - However, because Davos operates at runtime, one thing it cannot do automatically is install and switch to a specific version of Python itself. +\item \texttt{require\_python(version\_spec, warn=False, extra\_msg=None, pre\-re\-leases=\\None)}: Through \texttt{smuggle} statements and onion comments, \texttt{Davos} can automatically ensure that all Python packages needed to run a notebook are installed, and that the same versions of those packages are used no matter when or by whom the notebook is run. + However, because \texttt{Davos} operates at runtime, one thing it cannot do automatically is install and switch to a specific version of Python itself. Distributing shared code along with a precise Python version for running it requires a heavier-weight solution, such as a Conda environment or Docker container (see Fig.~\ref{fig:code-sharing}). - Yet a Davos-enhanced notebook may still \texttt{smuggle} certain packages that depend on users having a particular Python version or range of versions (e.g., even just within the standard library, the \texttt{dataclass} module was first added in Python 3.7 \cite{Smit17} and at least 19 modules are slated for removal in Python 3.13 \cite{HeimCann19}). - The \texttt{davos.require\_python()} function can be added to the top of a Davos-enhanced notebook to communicate to users that the notebook's code should be run with a specific or constrained Python version (see Sec.~\ref{sec:illustrative-example} for example usage). + Yet a \texttt{Davos}-enhanced notebook may still \texttt{smuggle} certain packages that depend on users having a particular Python version or range of versions (e.g., even just within the standard library, the \texttt{dataclass} module was first added in Python 3.7 \cite{Smit17} and at least 19 modules are slated for removal in Python 3.13 \cite{HeimCann19}). + The \texttt{davos.require\_python()} function can be added to the top of a \texttt{Davos}-enhanced notebook to communicate to users that the notebook's code should be run with a specific or constrained Python version (see Sec.~\ref{sec:illustrative-example} for example usage). The function may be passed a version identifier (e.g., \texttt{"3.10.5"}) or any valid version specifier \cite{CoghStuf13} (e.g., \texttt{"\raisebox{0.5ex}{\texttildelow}=3.11"}, \texttt{">=3.9;<3.12"}, etc.) and will raise an exception if the user's Python version is incompatible. Alternatively, a ``soft'' or suggested constraint can be imposed by passing \texttt{warn=True} to issue a warning rather than raise an error. Additional information can be added to the default error/warning message (e.g., the specific reason for this requirement) via the \texttt{extra\_msg} argument, and the optional \texttt{prereleases} argument can be used to explicitly allow (\texttt{True}) or disallow (\texttt{False}) pre-release versions (by default, the policy is determined by the value of \texttt{version\_spec}). -\item \texttt{use\_default\_project()}: By default, each Davos-enhanced notebook will create and use a notebook-specific project named based on its absolute path. +\item \texttt{use\_default\_project()}: By default, each \texttt{Davos}-enhanced notebook will create and use a notebook-specific project named based on its absolute path. If a user manually changes the project used by the current notebook (i.e., by setting the value of the \texttt{davos.project} attribute; see Sec.~\ref{subsec:config}), this function can be called to switch back to using the notebook's default project and reset \texttt{davos.project} to its default value. - See Section \ref{subsec:projects} for more information about Davos projects and Section \ref{sec:illustrative-example} for an illustrative example. + See Section \ref{subsec:projects} for more information about \texttt{Davos} projects and Section \ref{sec:illustrative-example} for an illustrative example. \end{itemize} \subsection{Implementation details}\label{subsec:implementation} -Although Davos is designed to \textit{appear} to add a new +Although \texttt{Davos} is designed to \textit{appear} to add a new keyword to Python's vocabulary, this illusion is actually created through several ``hacks'' that make use of the notebook's IPython backend for processing and executing users' code. Specifically, when -Davos is first imported, or when it is activated after having been +\texttt{Davos} is first imported, or when it is activated after having been set to an inactive state, two actions are triggered. First, the \texttt{smuggle()} function is injected into the IPython user -namespace. Second, the Davos parser is registered as a +namespace. Second, the \texttt{Davos} parser is registered as a custom IPython input transformer. IPython preprocesses all executed code as plain text before it is sent to the Python compiler, in order to handle special constructs like -\mbox{\texttt{!}-pre}\-fixed shell commands and \mbox{\texttt{\%}-pre}\-fixed ``magic'' commands. Davos uses +\mbox{\texttt{!}-pre}\-fixed shell commands and \mbox{\texttt{\%}-pre}\-fixed ``magic'' commands. \texttt{Davos} uses this same process to invisibly transform \texttt{smuggle} statements into -syntactically valid Python code. The Davos parser uses a +syntactically valid Python code. The \texttt{Davos} parser uses a regular expression to match lines of code containing \texttt{smuggle} statements (and, optionally, onion comments), extract relevant information from their text, and replace them with equivalent calls to @@ -597,16 +597,16 @@ \subsection{Implementation details}\label{subsec:implementation} \includegraphics[width=0.9\textwidth]{figs/snippet7} \end{center} The call to the \texttt{smuggle()} function carries out -Davos's central logic by determining whether the smuggled +\texttt{Davos}'s central logic by determining whether the smuggled package must be installed, carrying out the installation if necessary, and subsequently loading it into the namespace. This process is outlined in Figure~\ref{fig:flow-chart}. Because the \texttt{smuggle()} function is defined in the notebook namespace, it is also possible (though never necessary) to call it -directly. Deactivating Davos will delete the name +directly. Deactivating \texttt{Davos} will delete the name ``\texttt{smuggle}'' from the namespace, unless its value has been overwritten and no longer refers to the \texttt{smuggle()} -function. It will also deregister the Davos parser from the +function. It will also deregister the \texttt{Davos} parser from the set of input transformers run when each notebook cell is executed. @@ -615,10 +615,10 @@ \subsection{Implementation details}\label{subsec:implementation} \includegraphics[width=\textwidth]{figs/flow_chart} \caption{\small \textbf{\texttt{smuggle()} function algorithm.} At a high level, the \texttt{smuggle()} function may be conceptualized as - following two basic steps. First (left), Davos ensures that the + following two basic steps. First (left), \texttt{Davos} ensures that the correct version of the desired package is available locally, installing it automatically (into the notebook's project directory) if needed. Second (right), - Davos loads the package into the notebook and updates the current + \texttt{Davos} loads the package into the notebook and updates the current runtime environment.} \label{fig:flow-chart} \end{figure} @@ -628,15 +628,15 @@ \section{Illustrative Example}\label{sec:illustrative-example} \begin{figure}[tp] \centering \includegraphics[width=\textwidth]{figs/illustrative_example} -\caption{\small \textbf{Example use case for Davos.} +\caption{\small \textbf{Example use case for \texttt{Davos}.} Snippets from this example are also excerpted in the main text of Section~\ref{sec:illustrative-example}.} \label{fig:illustrative-example} \end{figure} -The example code throughout Section \ref{subsec:onion} illustrates a typical use case that we envision for Davos: a series of smuggle statements and onion comments with version specifiers or other options collectively describes and automatically constructs a reproducible environment for running the code that follows it. +The example code throughout Section \ref{subsec:onion} illustrates a typical use case that we envision for \texttt{Davos}: a series of smuggle statements and onion comments with version specifiers or other options collectively describes and automatically constructs a reproducible environment for running the code that follows it. When added to the top of a Jupyter notebook, this allows researchers to bundle their code and its dependencies into a single file that can be easily shared and run without any additional tools or setup, automatically installs its required packages at runtime, isolates them from the user's main Python environment, and ensures their versions do not change unexpectedly over time. -In this section, we have contrived a more complex scenario to highlight some of Davos's more advanced features, and illustrate how they may be used to handle certain challenges that can arise when writing, running, and sharing reproducible scientific code. +In this section, we have contrived a more complex scenario to highlight some of \texttt{Davos}'s more advanced features, and illustrate how they may be used to handle certain challenges that can arise when writing, running, and sharing reproducible scientific code. Across different versions of a given package, various modules, functions, and other objects may be updated, removed, renamed, or otherwise altered. In @@ -663,7 +663,7 @@ \section{Illustrative Example}\label{sec:illustrative-example} packages. The example provided in Figure~\ref{fig:illustrative-example} demonstrates how -Davos can be used to circumvent these incompatibilities by +\texttt{Davos} can be used to circumvent these incompatibilities by temporarily switching between different versions of the same package within a single runtime. The example shows how a dataset and model that require now-incompatible components of the \texttt{pandas} and @@ -674,7 +674,7 @@ \section{Illustrative Example}\label{sec:illustrative-example} ensures that these objects will be loaded successfully and analyzed using the same set of package versions no matter when or by whom the notebook is run. -After installing and importing Davos (lines 1--2), we first use the \texttt{davos.require\_\-python()} function to constrain the Python version used to run the notebook (see Sec.~\ref{subsec:toplevel}). +After installing and importing \texttt{Davos} (lines 1--2), we first use the \texttt{davos.require\_\-python()} function to constrain the Python version used to run the notebook (see Sec.~\ref{subsec:toplevel}). As described above, the example code in Figure \ref{fig:illustrative-example} loads two different versions of the \texttt{pandas} library: first, an older version needed to access a dataset saved in an outmoded format, then a newer one to use throughout the remainder of the notebook. We therefore want to make sure upfront (in line 6) that the notebook's Python version falls within the range of versions that both of these two versions of \texttt{pandas} support. If it does not, the function in line 6 will raise an error that includes a message to this effect (lines 4--5). @@ -703,24 +703,24 @@ \section{Illustrative Example}\label{sec:illustrative-example} \includegraphics[width=0.9\textwidth]{figs/example2} \end{center} It is worth noting, however, that beyond illustrative purposes, the benefit of specifying only a maximum version for \texttt{joblib} rather than an exact version is relatively minor. -The main advantage to relaxing a version constraint in an onion comment (when a package's behavior does not differ meaningfully between versions) is that doing so increases the likelihood that a satisfactory version will already be available in the user's Python environment, and therefore Davos will not need to install a new copy in the notebook's project directory. +The main advantage to relaxing a version constraint in an onion comment (when a package's behavior does not differ meaningfully between versions) is that doing so increases the likelihood that a satisfactory version will already be available in the user's Python environment, and therefore \texttt{Davos} will not need to install a new copy in the notebook's project directory. For large packages, this can be a worthwhile consideration; however \texttt{joblib} is very lightweight---less than 0.5 MB pre-built, with no required dependencies. Thus a more conservative approach that guarantees an exact version is used would also be reasonable in this case. Line 11 then enables -Davos's \texttt{auto\_rerun} option (see Sec.~\ref{subsec:config}) before smuggling the next +\texttt{Davos}'s \texttt{auto\_rerun} option (see Sec.~\ref{subsec:config}) before smuggling the next two packages: \texttt{NumPy} and \texttt{pandas}. Because these packages rely heavily on custom C data types, loading the particular versions specified in their onion comments may require restarting the notebook kernel if different versions were previously imported during the same interpreter session---including internally by other packages. -Enabling \texttt{auto\_rerun} allows Davos to handle kernel restarts automatically and continue running the code seamlessly without user intervention. +Enabling \texttt{auto\_rerun} allows \texttt{Davos} to handle kernel restarts automatically and continue running the code seamlessly without user intervention. \begin{center} \includegraphics[width=0.9\textwidth]{figs/example3} \end{center} In the case of \texttt{NumPy}, whether or not a kernel restart is necessary will depend on the user's existing Python environment. The \texttt{joblib} package has an optional dependency on \texttt{NumPy} for memoizing and parallelizing array operations, and will \texttt{import numpy} internally to enable these features if the package is available. -If the user already has \texttt{NumPy} installed in their Python environment when \texttt{joblib} is smuggled in line 9, their installed version is different from the one specified in the onion comment on line 12, and there were changes made to \texttt{NumPy}'s C extensions between those two versions, then Davos will automatically restart the kernel and re-run the lines above. +If the user already has \texttt{NumPy} installed in their Python environment when \texttt{joblib} is smuggled in line 9, their installed version is different from the one specified in the onion comment on line 12, and there were changes made to \texttt{NumPy}'s C extensions between those two versions, then \texttt{Davos} will automatically restart the kernel and re-run the lines above. The newly smuggled version would then be used both in the notebook itself and by \texttt{joblib} internally. The primary reason for enabling the \texttt{auto\_rerun} option, however, is to manage the installation of \texttt{pandas} in the next lines: @@ -746,7 +746,7 @@ \section{Illustrative Example}\label{sec:illustrative-example} between that version and v1.3.5, the notebook kernel must be restarted in order to fully unload the old version in favor of the new one. -When Davos automatically does so and re-runs the code above, having now converted the dataset to a CSV file means the old version does not need to be reinstalled (line 14). +When \texttt{Davos} automatically does so and re-runs the code above, having now converted the dataset to a CSV file means the old version does not need to be reinstalled (line 14). Next, line 21 uses the \texttt{davos.configure()} function to disable the \texttt{auto\_rerun} option and simultaneously enable two other @@ -780,7 +780,7 @@ \section{Illustrative Example}\label{sec:illustrative-example} 26 and 28. If the installed and specified versions are the same, these \texttt{smuggle} statements will function like standard \texttt{import} statements to load the packages into the notebook's namespace. If they -differ, Davos will download the requested versions in place +differ, \texttt{Davos} will download the requested versions in place of the installed versions, ensuring that they are used both in the notebook itself and by \texttt{UMAP} internally. \begin{center} \includegraphics[width=0.9\textwidth]{figs/example6} @@ -792,7 +792,7 @@ \section{Illustrative Example}\label{sec:illustrative-example} packages in their code, even if those versions have not been officially released. Targeting specific VCS references (e.g., commits, tags, etc.) can also provide even finer-grained control over smuggled package versions than is possible with traditional version specifiers. -In lines 30--37, we demonstrate another aspect of Davos's functionality that supports more advanced installation scenarios. +In lines 30--37, we demonstrate another aspect of \texttt{Davos}'s functionality that supports more advanced installation scenarios. The \texttt{ipywidgets}~\cite{FredEtal15} package (also known as Jupyter Widgets) provides a Python API for creating interactive JavaScript widgets within a notebook. It depends on the \texttt{widgetsnbextension} package, which provides the JavaScript machinery needed by the notebook frontend to display these widgets. A complication is that \texttt{ipywidgets} must be installed in a location that is accessible from the IPython kernel (i.e., the Python runtime within the notebook itself), while \texttt{widgetsnbextension} must be installed in the environment that houses the Jupyter notebook server (a separate Python runtime that serves and manages the notebook frontend client). @@ -807,12 +807,12 @@ \section{Illustrative Example}\label{sec:illustrative-example} allow installing smuggled packages outside of the notebook's project directory. As noted in Section \ref{subsec:projects}, this is typically discouraged, as doing so can risk interfering with the user's Python environment if existing package versions are overwritten. In this particular case, however, a combination of factors make this relatively safe and inconsequential. -First, the package we need to install directly into the notebook server environment (\texttt{widgetsnbextension}) is smuggled without an accompanying onion comment (line 34), meaning that Davos will not replace any version the user may already have installed. -Second, the package has no dependencies of its own, so if Davos does install it, no other packages will be installed or updated as a side effect. +First, the package we need to install directly into the notebook server environment (\texttt{widgetsnbextension}) is smuggled without an accompanying onion comment (line 34), meaning that \texttt{Davos} will not replace any version the user may already have installed. +Second, the package has no dependencies of its own, so if \texttt{Davos} does install it, no other packages will be installed or updated as a side effect. Third, the package itself provides no functionality outside of rendering Jupyter widgets, so its presence would not alter any other code's expected behavior. -Next, in lines 31--33, we change the \texttt{pip} executable Davos uses to install smuggled packages (see Sec.~\ref{subsec:config}), storing the default executable's path in a variable before doing so. -When Davos's project system is disabled, using a \texttt{pip} executable from a particular Python environment will cause smuggled packages to be installed into (and subsequently loaded from) that environment. +Next, in lines 31--33, we change the \texttt{pip} executable \texttt{Davos} uses to install smuggled packages (see Sec.~\ref{subsec:config}), storing the default executable's path in a variable before doing so. +When \texttt{Davos}'s project system is disabled, using a \texttt{pip} executable from a particular Python environment will cause smuggled packages to be installed into (and subsequently loaded from) that environment. The default \texttt{pip\_executable} will install packages into the environment used to run the IPython kernel. Here, the new value assigned to \texttt{davos.pip\_executable} in line 33 is the output of running ``\texttt{command -v pip}'' as a \mbox{\texttt{!}-prefixed} IPython system shell command in line 32 (``\texttt{command -v}'' outputs the path to an executable, similar to ``\texttt{which}'' but more portable). IPython system shell command are always executed in the notebook server's environment---which may or may not be different from the kernel's environment---so this command's output will be the path to the server environment's \texttt{pip} executable. @@ -858,7 +858,7 @@ \section{Illustrative Example}\label{sec:illustrative-example} the model is loaded and reconstructed in memory from a compatible package version (line 43), we upgrade to a newer version of \texttt{scikit-learn} in line 44. Taken together, the code in -Figure~\ref{fig:illustrative-example} shows how Davos can +Figure~\ref{fig:illustrative-example} shows how \texttt{Davos} can enable users to load in data and models that are incompatible with newer versions of \texttt{pandas} and \texttt{scikit-learn}, but still \textit{analyze} and manipulate the data and model output using the @@ -867,57 +867,57 @@ \section{Illustrative Example}\label{sec:illustrative-example} \section{Impact} -We designed Davos for use in research settings, where code for numerous different tasks---from processing data, to running statistical analyses, to generating figures and tables for publication---is frequently shared among collaborators while working on a project, and eventually with the broader scientific community and general public upon a its completion. +We designed \texttt{Davos} for use in research settings, where code for numerous different tasks---from processing data, to running statistical analyses, to generating figures and tables for publication---is frequently shared among collaborators while working on a project, and eventually with the broader scientific community and general public upon a its completion. In these contexts, ensuring that shared code yields consistent, reproducible outputs across users and over time is crucially important, yet the tools available to researchers for doing so can be complex to set up and challenging to properly use. This has the dual effect of discouraging scientists from sharing their code in a reproducible way (or at all), and making it significantly harder (or impossible) for others to successfully reproduce their results, adopt or extend their methods, and contribute to or build upon their work. Ultimately, the need to install and master additional tools in order to share and run reproducible code can impede progress both on the individual level and on the broader scientific level. -While the Davos package by no means offers a universal solution to this problem, it can, in many cases, provide an effective yet more accessible alternative to existing systems for sharing reproducible Python code, such as virtual environments, containers, and virtual machines (see Fig.~\ref{fig:code-sharing}). +While the \texttt{Davos} package by no means offers a universal solution to this problem, it can, in many cases, provide an effective yet more accessible alternative to existing systems for sharing reproducible Python code, such as virtual environments, containers, and virtual machines (see Fig.~\ref{fig:code-sharing}). For researchers, this can lower barriers to collaborating with peers and contributing to publicly available open science resources. -And by eliminating most of the setup costs of reconstructing the original researchers' computing environment, Davos also lowers barriers to entry for members of the scientific community and the public who seek to run shared code. +And by eliminating most of the setup costs of reconstructing the original researchers' computing environment, \texttt{Davos} also lowers barriers to entry for members of the scientific community and the public who seek to run shared code. -Among common systems for sharing reproducible Python code (see Fig.~\ref{fig:code-sharing}), Davos is most comparable to virtual environments as it similarly provides a lightweight mechanism for specifying and sharing a complete set of packages (and specific package versions) required by a particular project, and installing those packages into an isolated directory on the user's file system. -However, when used in conjunction with Jupyter notebooks, Davos offers a number of advantages over standard virtual environments that make it both easier to use and more effective at ensuring reproducibility of shared code. +Among common systems for sharing reproducible Python code (see Fig.~\ref{fig:code-sharing}), \texttt{Davos} is most comparable to virtual environments as it similarly provides a lightweight mechanism for specifying and sharing a complete set of packages (and specific package versions) required by a particular project, and installing those packages into an isolated directory on the user's file system. +However, when used in conjunction with Jupyter notebooks, \texttt{Davos} offers a number of advantages over standard virtual environments that make it both easier to use and more effective at ensuring reproducibility of shared code. First, \texttt{smuggle} statements and onion comments enable researchers to specify their notebooks' dependencies directly within the code that requires them (see Secs.~\ref{subsec:smuggle} and \ref{subsec:onion}). This eliminates the need to either manually create and maintain separate configuration files or use an additional tool to generate them, and to then distribute these files alongside their primary code base for users to download. -Second, Davos automatically checks for, installs, isolates, and imports any required packages at runtime. -This allows users to download and immediately run a Davos-enhanced notebook without any prerequisite setup (beyond that needed to run a standard Jupyter notebook). +Second, \texttt{Davos} automatically checks for, installs, isolates, and imports any required packages at runtime. +This allows users to download and immediately run a \texttt{Davos}-enhanced notebook without any prerequisite setup (beyond that needed to run a standard Jupyter notebook). By contrast, before running a notebook whose dependencies are managed via a virtual environment, the user would first need to run a series of shell commands to manually create a new environment, populate it with packages from the researcher's configuration file (which the user must also have obtained), and then either use the \texttt{ipykernel} package to register the environment as a Jupyter kernel, or activate and deactivate the environment before and after (respectively) each time the notebook was launched. -Beyond reducing this initial setup cost, Davos's runtime-based approach to dependency management affords a second important benefit. +Beyond reducing this initial setup cost, \texttt{Davos}'s runtime-based approach to dependency management affords a second important benefit. While creating and configuring a virtual environment ensures that a specific set of packages is initially installed, it does not guarantee that they will \textit{remain} installed after that point. For example, a researcher who creates a virtual environment in which to run a set of data analyses---or a different user who later recreates that environment to reproduce them---might at some point install an additional package into the environment after its initial setup (e.g., to implement a new analysis idea). Depending on the requirements of this new package, this could cause one or more initially installed packages to be upgraded or downgraded to a different version. If the individual does not happen to notice this change when it occurs, differences between those packages' expected and installed versions may introduce bugs into previously written code or subtly alter its output when it is next run. -Because \texttt{smuggle} statements and onion comments are evaluated every time a Davos-enhanced notebook is run, they function to ensure that the notebook's dependencies are always satisfied and that any such inadvertent changes would be automatically caught and corrected. +Because \texttt{smuggle} statements and onion comments are evaluated every time a \texttt{Davos}-enhanced notebook is run, they function to ensure that the notebook's dependencies are always satisfied and that any such inadvertent changes would be automatically caught and corrected. -Third, running a shared notebook that uses Davos to manage its dependencies often requires less (but never more) space on the user's system than running an identical notebook inside a virtual environment. -While typical virtual environment directories will contain \textit{all} requirements listed in their configuration files, Davos's isolated project directories (by default; see Sec.~\ref{subsec:projects}) contain only those not already available in the user's existing Python environment. -This is another feature made possible by Davos's runtime-based dependency management scheme. -Davos can safely draw from packages in from the user's main environment to satisfy a notebook's dependencies, when possible, because if those packages were to be updated or removed at any point such that they no longer met the notebook's requirements, appropriate versions could (and would) be installed into the project directory the next time the notebook was executed. +Third, running a shared notebook that uses \texttt{Davos} to manage its dependencies often requires less (but never more) space on the user's system than running an identical notebook inside a virtual environment. +While typical virtual environment directories will contain \textit{all} requirements listed in their configuration files, \texttt{Davos}'s isolated project directories (by default; see Sec.~\ref{subsec:projects}) contain only those not already available in the user's existing Python environment. +This is another feature made possible by \texttt{Davos}'s runtime-based dependency management scheme. +\texttt{Davos} can safely draw from packages in from the user's main environment to satisfy a notebook's dependencies, when possible, because if those packages were to be updated or removed at any point such that they no longer met the notebook's requirements, appropriate versions could (and would) be installed into the project directory the next time the notebook was executed. -Finally, neither virtual environments nor Davos-enhanced notebooks can bundle specific versions of Python with which to run shared code. -However, Davos's \texttt{require\_\-python()} function provides a simple mechanism for indicating a required or constrained Python version and alerting the user at runtime (by raising an exception) if their Python version is incompatible. -In terms of Davos's ability to ensure that shared code can be executed reproducibly by other users, this falls short of the capabilities of more complex tools that can provide complete copies of Python (see Fig.~\ref{fig:code-sharing}) and should be preferred over Davos in cases where this is necessary. +Finally, neither virtual environments nor \texttt{Davos}-enhanced notebooks can bundle specific versions of Python with which to run shared code. +However, \texttt{Davos}'s \texttt{require\_\-python()} function provides a simple mechanism for indicating a required or constrained Python version and alerting the user at runtime (by raising an exception) if their Python version is incompatible. +In terms of \texttt{Davos}'s ability to ensure that shared code can be executed reproducibly by other users, this falls short of the capabilities of more complex tools that can provide complete copies of Python (see Fig.~\ref{fig:code-sharing}) and should be preferred over \texttt{Davos} in cases where this is necessary. However, the functionality it provides over what is possible with a standard virtual environment is removing the \textit{expectation} that running a particular notebook will reproduce an expected outcome in situations where this is either impossible or not guaranteed. With this understanding, a user may choose to install a compatible Python version through some other means or elect to still run the code, but will not be surprised by a potential failure to execute successfully or output an expected result. -Beyond research applications, Davos is also useful in +Beyond research applications, \texttt{Davos} is also useful in pedagogical settings. For example, in programming courses, instructors -and students may use the Davos package to ensure their +and students may use the \texttt{Davos} package to ensure their notebooks will run correctly on others' machines. When combined with online notebook-based platforms like Google Colaboratory, -Davos provides a convenient way to manage dependencies within +\texttt{Davos} provides a convenient way to manage dependencies within a notebook without requiring any software (beyond a web browser) to be installed on the students' or instructors' systems. For the same -reasons, Davos also provides an elegant means of sharing +reasons, \texttt{Davos} also provides an elegant means of sharing ready-to-run notebook-based demonstrations or tutorials that install their dependencies automatically. -Since its initial release, Davos has found use in a variety of applications. In +Since its initial release, \texttt{Davos} has found use in a variety of applications. In addition to managing computing environments for multiple prior and ongoing -research studies~\citep{MannEtal23a, OwenMann23, ZimaEtal23}, Davos is being +research studies~\citep{MannEtal23a, OwenMann23, ZimaEtal23}, \texttt{Davos} is being used by both students and instructors in programming and research methods courses such as Storytelling with Data~\cite{Mann21a} (an open course on data science, visualization, and communication), Laboratory in Psychological @@ -930,7 +930,7 @@ \section{Impact} GPT-Neo~\cite{GaoEtal20, BlacEtal21}) to share ready-to-run code that installs dependencies automatically. The 2023 offering of Neuromatch Academy~\cite{vanVEtal21} also included an ``experimental'' module that uses -Davos to manage dependencies related to a large language model-based +\texttt{Davos} to manage dependencies related to a large language model-based tutor~\cite{MannEtal23b}. Our work also has several more subtle ``advanced'' use cases and potential @@ -951,7 +951,7 @@ \section{Impact} A second more subtle impact of our work is in providing a proof-of-concept of how the ability to add new ``keyword-like'' operators to the Python language could be specifically useful to -researchers. With Davos, we accomplish this by leveraging +researchers. With \texttt{Davos}, we accomplish this by leveraging IPython notebooks' internal code parsing and execution machinery. We note that, while other popular packages similarly use these mechanisms to providing notebook-specific functionality (e.g., @@ -960,69 +960,69 @@ \section{Impact} could design a Python package that, when imported, substantially changes the notebook's functionality by adding new \textit{unexpected} keyword-like objects (e.g., based around common typos). We also note -that this implementation approach means Davos's functionality +that this implementation approach means \texttt{Davos}'s functionality is currently restricted to IPython notebook environments. However, there have been early-stage discussions of providing this sort of syntactic customizability as a core feature of the Python language, including a draft proposal~\cite{Shan20}. In addition to enabling -Davos to be extended for use outside of notebooks, this could -lead to exciting new tools that, like Davos, extend the +\texttt{Davos} to be extended for use outside of notebooks, this could +lead to exciting new tools that, like \texttt{Davos}, extend the Python language in useful and more secure ways. \subsection{Pitfalls and limitations} -While Davos enables developers to conveniently specify all project +While \texttt{Davos} enables developers to conveniently specify all project dependencies, there are some edge cases and limitations that are worth considering. First, prior studies on reproducibility of Jupyter notebooks (e.g., \cite{PimeEtal19}) identified a key challenge in the fact that, unlike Python scripts, notebook cells may be manually executed in a non-linear order, which may differ from the order in which they were executed by the notebook's original author. This can result in various ``hidden state'' problems, such as variables referencing different objects than the currently running cell expects them to, given its point in the notebook's execution order. -In theory, using Davos to \texttt{smuggle} different versions of the same package across different notebook cells could exacerbate this issue if a user executed those cells out of their intended order. -Therefore an important consideration when using Davos is that it is perhaps even more important to execute notebook cells in order than would be the case in the standard (non-Davos) setup. +In theory, using \texttt{Davos} to \texttt{smuggle} different versions of the same package across different notebook cells could exacerbate this issue if a user executed those cells out of their intended order. +Therefore an important consideration when using \texttt{Davos} is that it is perhaps even more important to execute notebook cells in order than would be the case in the standard (non-\texttt{Davos}) setup. However, a few ``best practices'' may be adopted to help mitigate this risk. -First, when sharing a Davos-enhanced notebook in a state that is intended to be reproducible, code cells should appear in their intended execution order, such that users can successfully run them top to bottom. +First, when sharing a \texttt{Davos}-enhanced notebook in a state that is intended to be reproducible, code cells should appear in their intended execution order, such that users can successfully run them top to bottom. In a scenario where this is impossible, the intended order should be clearly indicated in code comments and/or markdown cells. -This is already a common practice for notebooks that include system calls to install required packages and dependencies, and the same approach would work well in Davos-enhanced notebooks. -Second, while Davos makes it possible to \texttt{smuggle} multiple versions of a package within the same notebook, users should prefer to split code that requires different versions of the same package into different notebooks. -In addition to mitigating the issue described above, this will also allow Davos to store a single intended version of the package in each notebook's project directory, rather than reinstalling the package each time a different version is smuggled. +This is already a common practice for notebooks that include system calls to install required packages and dependencies, and the same approach would work well in \texttt{Davos}-enhanced notebooks. +Second, while \texttt{Davos} makes it possible to \texttt{smuggle} multiple versions of a package within the same notebook, users should prefer to split code that requires different versions of the same package into different notebooks. +In addition to mitigating the issue described above, this will also allow \texttt{Davos} to store a single intended version of the package in each notebook's project directory, rather than reinstalling the package each time a different version is smuggled. Finally, in situations where it \textit{is} necessary or preferable to temporarily \texttt{smuggle} a different version of a particular package than is used throughout the rest of the notebook (e.g., Fig.~\ref{fig:illustrative-example}), the code to \texttt{smuggle} that temporary version, perform all necessary operations, and (re-)\texttt{smuggle} the ``default'' version should be contained within a single notebook cell, such that (absent any errors in its execution) the same version is always installed and imported before and after the cell is run. For example, in Figure~\ref{fig:illustrative-example}, lines 14--19 should be run within a single cell, and lines 42--44 should be run in a single cell. -A second limitation of Davos relates to how packages are installed and managed. -As of this writing, Davos can install packages using \texttt{pip}, but not +A second limitation of \texttt{Davos} relates to how packages are installed and managed. +As of this writing, \texttt{Davos} can install packages using \texttt{pip}, but not other standard Python package management systems such as \texttt{conda}. Therefore packages that are not installable via \texttt{pip} are currently -unsupported by Davos. We anticipate adding support for other package management +unsupported by \texttt{Davos}. We anticipate adding support for other package management systems, including \texttt{conda} \cite{Anac12}, in a future release. -A third limitation of Davos is that it cannot be used to manage projects that +A third limitation of \texttt{Davos} is that it cannot be used to manage projects that depend on non-Python software. For example, system software or libraries from other languages (e.g., in a mixed Python and R notebook), cannot be -\texttt{smuggle}d by Davos. A notebook that utilizes or depends on non-Python -software would therefore need to use existing non-Davos approaches to managing +\texttt{smuggle}d by \texttt{Davos}. A notebook that utilizes or depends on non-Python +software would therefore need to use existing non-\texttt{Davos} approaches to managing those requirements. -Davos's ``projects'' system (Sec.~\ref{subsec:projects}) provides a safe way +\texttt{Davos}'s ``projects'' system (Sec.~\ref{subsec:projects}) provides a safe way of managing project dependencies without interfering with the user's Python -environment. By default, each Davos-enhanced notebook creates and uses its own +environment. By default, each \texttt{Davos}-enhanced notebook creates and uses its own notebook-specific project directory, which is named based on the notebook's absolute path. However, programmatically determining the path to the currently running notebook may not be possible in some environments. -For example, Davos queries the Jupyter Server API to determine the notebook's name, but some non-browser applications may implement mechanisms for communicating with the IPython kernel without starting a Jupyter server. -As of this writing, Davos fully supports most common notebook environments, including classic Jupyter Notebooks, +For example, \texttt{Davos} queries the Jupyter Server API to determine the notebook's name, but some non-browser applications may implement mechanisms for communicating with the IPython kernel without starting a Jupyter server. +As of this writing, \texttt{Davos} fully supports most common notebook environments, including classic Jupyter Notebooks, JupyterLab, Google Colaboratory, Binder, Kaggle Notebooks, JetBrains IDEs (PyCharm, DataSpell, etc.), and Visual Studio Code, among others. -However, in cases where Davos fails to determine the current notebook's path, it will issue a warning and fall back to using a generic project named ``davos-fallback.'' This project is shared across all such occurrences and exists to ensure that even if some component of Davos's project system fails, smuggling packages will still not affect the user's main Python environment. If this occurs, the user can also manually set Davos to use the ``normal'' default project for the current by setting \texttt{davos.project} to its absolute or relative path. +However, in cases where \texttt{Davos} fails to determine the current notebook's path, it will issue a warning and fall back to using a generic project named ``davos-fallback.'' This project is shared across all such occurrences and exists to ensure that even if some component of \texttt{Davos}'s project system fails, smuggling packages will still not affect the user's main Python environment. If this occurs, the user can also manually set \texttt{Davos} to use the ``normal'' default project for the current by setting \texttt{davos.project} to its absolute or relative path. \section{Conclusions} -The Davos package supports reproducible research by providing +The \texttt{Davos} package supports reproducible research by providing a novel, lightweight system for sharing notebook-based code. It expands on Python's ``batteries included'' philosophy to enable running shared notebooks with no setup required, and defines a simple, self-documenting format for specifying dependencies in the spirit of ``literate programming'' paradigm Jupyter notebooks promote. -But perhaps the most exciting uses of the Davos package are those +But perhaps the most exciting uses of the \texttt{Davos} package are those that we have \textit{not} yet considered or imagined. We hope that the -research and scientific Python communities will find Davos to provide a convenient +research and scientific Python communities will find \texttt{Davos} to provide a convenient means of managing project dependencies to facilitate code sharing and collaboration. We also hope that some of the more advanced applications of our package might lead to new insights or discoveries. 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\texttt{smuggle} statement}\label{subsec:smuggle} Functionally, importing Davos in an IPython notebook enables an additional Python keyword: ``\texttt{smuggle}'' (see Sec.~\ref{subsec:implementation} for details on how this works). -The \texttt{smuggle} keyword-like object can be used as a drop-in +The \texttt{smuggle} keyword can be used as a drop-in replacement for Python's built-in \texttt{import} keyword to load packages, modules, and other objects into the notebook's namespace. However, whereas \texttt{import} will fail if the requested package is @@ -313,7 +313,7 @@ \subsubsection{The \texttt{smuggle} statement}\label{subsec:smuggle} Importantly, packages installed by Davos are made available for use in the notebook without affecting the user's Python environment or existing packages. By default, \texttt{smuggle} statements will install missing packages (and any -missing dependencies of those packages) into a notebook-specific virtual +missing dependencies of those packages) into a notebook-specific, virtual environment-like directory called a ``project'' (see Sec.~\ref{subsec:projects}). In turn, \texttt{smuggle} statements executed in a particular notebook will preferentially load packages from that notebook's @@ -395,17 +395,17 @@ \subsubsection{The onion comment}\label{subsec:onion} \subsubsection{Projects}\label{subsec:projects} Standard approaches to installing packages from within a notebook can alter the local Python environment in potentially unexpected and undesired ways. -For example, running a notebook that installs its dependencies via system shell commands (prefixed with ``\texttt{!}'') or IPython magic commands (prefixed with ``\texttt{\%}'') may cause other existing packages in the user's environment to be uninstalled or replaced with alternate versions. +For example, running a notebook that installs its dependencies via system shell commands (prefixed with ``\texttt{!}'') or IPython magic commands (prefixed with ``\texttt{\%}'') may cause other existing packages in the user's environment to be replaced with alternate versions. This can lead to incompatibilities between installed packages, affect the behavior of the user's other scripts or notebooks, or even interfere with system applications. -To prevent Davos-enhanced notebooks from having unwanted side effects on the user's environment, any packages installed via \texttt{smuggle} statements are automatically isolated using custom virtual environment-like systems called ``projects.'' +To prevent Davos-enhanced notebooks from having unwanted side effects on the user's environment, any packages installed via \texttt{smuggle} statements are automatically isolated using a custom, virtual environment-like system called ``projects.'' Davos projects are similar to standard Python virtual environments (e.g., created with the standard library's \texttt{venv} module or a third-party tool like \texttt{virtualenv}~\cite{BickEtal07}) but with a few noteworthy differences that make them generally lighter-weight and simpler to use. Like a standard virtual environment, a Davos project consists of a directory (within a hidden \texttt{.davos} folder in the user's home directory) that houses third-party packages needed for a particular Python project, workflow, or task. However, unlike standard virtual environments, Davos projects do not need to be manually created, activated, or deactivated, and they function to \textit{extend} the user's existing Python environment rather than replace it. When Davos is imported into a notebook, a project directory for that notebook is automatically created (if it does not exist already). When \texttt{smuggle} statements within that notebook are executed, any packages (or specific versions of packages) that are not already available in the user's Python environment are installed into the notebook's project directory (along with any missing dependencies of those packages). -During each \texttt{smuggle} statement's execution, Davos also temporarily prepends the notebook's project directory to the module search path so that these project-installed packages are visible when searching for smuggled packages locally, and prioritized over those in the runtime environment. +During each \texttt{smuggle} statement's execution, Davos also temporarily prepends the notebook's project directory to the module search path so that these project-installed packages are visible when searching for smuggled packages locally, and prioritized over those in the user's main environment. Thus, rather than constructing fully separate Python environments from scratch, Davos projects work by supplementing the user's runtime environment with any additional packages (or specific package versions) needed to satisfy the dependencies of their corresponding notebooks. In some cases, this might include every package smuggled into a notebook (e.g., if the notebook is run inside a freshly created, empty virtual environment). @@ -707,7 +707,7 @@ \section{Illustrative Example}\label{sec:illustrative-example} \end{center} It is worth noting, however, that beyond illustrative purposes, the benefit of specifying only a maximum version for \texttt{joblib} rather than an exact version is relatively minor. The main advantage to relaxing a version constraint in an onion comment (when a package's behavior does not differ meaningfully between versions) is that doing so increases the likelihood that a satisfactory version will already be available in the user's Python environment, and therefore Davos will not need to install a new copy in the notebook's project directory. -For large packages, this can be a worthwhile consideration; however \texttt{joblib} is very lightweight---less than 0.5 MB pre-built, with no other dependencies. +For large packages, this can be a worthwhile consideration; however \texttt{joblib} is very lightweight---less than 0.5 MB pre-built, with no required dependencies. Thus a more conservative approach that guarantees an exact version is used would also be reasonable in this case. Line 11 then enables @@ -1009,22 +1009,6 @@ \subsection{Pitfalls and limitations} software would therefore need to use existing non-Davos approaches to managing those requirements. -While Davos enables developers to conveniently specify all project -dependencies, there are some edge cases and limitations that are worth -considering. Many Python packages include (in their setup options) additional -dependencies that often carry their own version specifications. Although Davos -will check that the correct version of the requested top-level package is -installed and imported into the workspace, the version numbers of any -\textit{dependencies} of the requested package are not checked. In principle, -this could lead to unexpected behavior, for example if a given package's -dependencies (or dependencies of those dependencies, etc.) were left -under-specified. A developer could mitigate this by explicitly smuggling exact -version numbers of every project dependency (e.g., obtained via pip freeze). -However, for projects where the versions of dependencies of smuggled packages -also need to be precisely controlled, a lockfile or a \texttt{requirements.txt} -file produced by \texttt{pip freeze} (i.e., explicitly specifying \textit{all} packages' -version numbers) may provide a more comprehensive alternative to Davos. - Our Project infrastructure (Sec.~\ref{subsec:projects}) provides a ``safe'' way of managing project dependencies without interfering with the user's Python environment. However, our implementation of this functionality cannot From 14ae786ac6f9a1c55fc9cd7511f657daa757abb5 Mon Sep 17 00:00:00 2001 From: paxtonfitzpatrick Date: Fri, 29 Sep 2023 21:15:34 -0400 Subject: [PATCH 03/20] updates to fig 1 caption --- paper/main.tex | 47 +++++++++++++++++++++++------------------------ 1 file changed, 23 insertions(+), 24 deletions(-) diff --git a/paper/main.tex b/paper/main.tex index 6e47c11..5d8516e 100644 --- a/paper/main.tex +++ b/paper/main.tex @@ -124,10 +124,10 @@ \section{Motivation and significance} \centering \includegraphics[width=0.65\textwidth]{figs/shareable_code_2d} \caption{\small \textbf{Systems for sharing code within the Python - ecosystem.} The $x$-axis denotes the ``burden'' placed on users to + ecosystem.} The $x$-axis denotes the ``burden'' placed on users to install and configure the given system (systems placed further to the right, that fall within the redder shading, impose a higher setup cost on the user). The $y$-axis denotes the degree to which the system guarantees that the code will run - similarly for different users (systems placed higher up, that fall within the bluer shading, support stronger guarantees). + similarly for different users (systems placed higher up, that fall within the bluer shading, offer stronger guarantees). From left to right, bottom to top: plain-text \textbf{Python scripts} (\texttt{.py} files) provide the most basic ``system'' for sharing raw code. Scripts may reference external packages, but @@ -136,38 +136,37 @@ \section{Motivation and significance} those packages were installed must also be performed manually. \textbf{Jupyter notebooks} (\texttt{.ipynb} files) comprise embedded text, executable code, and media (including rendered figures, code - output, etc.). When the \textbf{Davos package} is imported + output, etc.). When the \textbf{Davos package} is imported into a Jupyter notebook, the notebook's functionality is extended to automatically install any required external packages (at their - correct versions, when specified). \textbf{Virtual environments} - allow users to install an isolated copy of Python and all required - dependencies. This typically entails distributing a configuration - file (e.g., a \texttt{pyproject.toml}~\cite{CannEtal16} or - \texttt{environment.yml} file) that specifies all project - dependencies (including version numbers of external packages) - alongside the primary code base. Users can then install a - third-party tool~\cite[e.g.,][]{Anac12, Eust19} to read the file and - build the environment. \textbf{Containers} provide a means of + correct versions, when specified) into an isolated directory kept separate + from the user's existing set of packages. \textbf{Virtual environments} + similarly allow users to install required packages into an isolated + directory, and \textbf{shareable Python environments} extend this to include + a specific version of Python itself. However, both of these systems require + users to create, populate, and manage environments manually. This + typically entails distributing a configuration file (e.g., a + \texttt{requirements.txt}, \texttt{pyproject.toml}~\cite{CannEtal16}, or + \texttt{environment.yml} file) that specifies all project dependencies + (including version numbers) alongside the primary code base. Users can then + install a third-party tool~\cite[e.g.,][]{BickEtal07, Eust19, Anac12} to read + the file and build the environment. \textbf{Containers} provide a means of defining an isolated environment that includes a complete operating system (independent of the user's operating system), in addition to (optionally) specifying a virtual environment or other configurations needed to provide the necessary computing - environment. Containers are typically defined using specification - files (e.g., a plain-text \texttt{Dockerfile}) that instruct the + environment. Containers are typically defined using + specification files (e.g., a plain-text \texttt{Dockerfile}~\cite{Merk14}) that instruct the virtualization engine regarding how to build the containerized - environment. \textbf{Virtual machines} provide a complete + environment. \textbf{Virtual machines} provide a complete hardware-level simulation of the computing environment. In addition to simulating specific hardware, virtual machines (typically specified using binary image files) must also define operating - system-level properties of the computing environment. Systems to - the left of the blue vertical line entail sharing individual files, - with no additional installation or configuration needed to run the - target code. Systems to the right of the red vertical line support - precise control over dependencies and versioning. Notebooks - enhanced using the Davos package are easily shareable and - require minimal setup costs, while also facilitating high - reproducibility by enabling precise control over project - dependencies.} + system-level properties of the computing environment. $\Delta_1$ + represents the increased reproducibility Davos provides over standard + Jupyter notebooks for no greater setup cost. $\Delta_2$ represents + Davos's lower setup cost compared to standard virtual environments + despite more stringently ensuring reproducibility.} \label{fig:code-sharing} \end{figure} From 3e364b71089db1504b20177dd4bc51b2d26a9310 Mon Sep 17 00:00:00 2001 From: paxtonfitzpatrick Date: Fri, 29 Sep 2023 21:17:01 -0400 Subject: [PATCH 04/20] updates to section 1 text --- paper/main.tex | 20 +++++++++++--------- 1 file changed, 11 insertions(+), 9 deletions(-) diff --git a/paper/main.tex b/paper/main.tex index 5d8516e..35cffc9 100644 --- a/paper/main.tex +++ b/paper/main.tex @@ -197,28 +197,30 @@ \section{Motivation and significance} ``isolated'' experience. Although containerized environments do not specify hardware-level operations, they are typically packaged with a complete operating system, in addition to a complete copy of Python -and any relevant package dependencies. Virtual -environments~\cite[e.g.,][]{Anac12, Eust19} also provide a computing +and any relevant package dependencies. Shareable Python +environments~\cite[e.g.,][]{Anac12} also provide a computing environment that is largely separated from the user's main environment. They incorporate a copy of Python and the target -software's dependencies, but virtual environments do not specify or -reproduce an operating system for the runtime environment. Each of -these systems (virtual machines, containers, and virtual environments) +software's dependencies, but do not specify or +reproduce an operating system for the runtime environment. +Virtual environments~\cite[e.g.,][]{BickEtal07, Eust19} work similarly, but +reuse an existing copy of Python rather than bundling their own. +Each of these systems (virtual machines, containers, Python environments, and virtual environments) guarantees (to differing degrees---at the hardware level, operating -system level, and Python environment level, respectively) that the +system level, Python environment level, and package environment level, respectively) that the relevant code will run similarly for different users. However, each of these systems also relies on additional software that can be complex or resource-intensive to install and use, creating potential barriers to both contributing to and taking advantage of open science resources. -We designed Davos to occupy a ``sweet spot'' between these extremes. +We designed Davos to occupy a ``sweet spot'' within this spectrum. Davos is a notebook-installable package that adds functionality to the default notebook experience. Like standard Jupyter notebooks, Davos-enhanced notebooks allow researchers to include text, executable code, and media within a single file. No further setup or installation is -required from the user, beyond what is needed to run standard Jupyter -notebooks. And like virtual environments, Davos provides a convenient +required from the user, beyond what is needed to run a standard Jupyter +notebook. And like virtual environments, Davos provides a convenient mechanism for fully specifying (and installing, as needed) a complete set of Python dependencies, including specific package versions, which are contained and isolated from the rest of the user's system. From 541e45385981c8e856a98e1a06a2599dbfd972da Mon Sep 17 00:00:00 2001 From: paxtonfitzpatrick Date: Sat, 30 Sep 2023 00:56:01 -0400 Subject: [PATCH 05/20] minor updates and fixes throughout --- paper/main.tex | 38 +++++++++++++++++++------------------- 1 file changed, 19 insertions(+), 19 deletions(-) diff --git a/paper/main.tex b/paper/main.tex index 35cffc9..df041e9 100644 --- a/paper/main.tex +++ b/paper/main.tex @@ -37,7 +37,7 @@ ranging from virtual environments, to containers, to virtual machines. Each of these existing solutions requires installing or setting up a system for running the desired code, increasing the - complexity and time cost of sharing or engaging with reproducible + complexity and time cost of both sharing and engaging with reproducible science. Here, we propose a lighter-weight solution: the Davos package. When used in combination with a notebook-based Python project, Davos provides a mechanism @@ -82,7 +82,7 @@ \section*{Current code version} C6 & Software code languages, tools, and services used & Python, JavaScript, PyPI/pip, IPython, Jupyter, ipykernel, PyZMQ.\newline Additional tools used for tests: pytest, Selenium, Requests, mypy, GitHub Actions \\ \hline C7 & Compilation requirements, operating environments, and - dependencies & Dependencies:~Python $\geq 3.6$, packaging, setuptools.\newline Supported OSes: MacOS, Linux, Unix-like.\newline Supported IPython environments: Jupyter Notebooks, JupyterLab, Google Colaboratory, Binder, IDE-based notebook editors, IPython shell. \\ + dependencies & Dependencies:~Python $\geq 3.6$, packaging, setuptools.\newline Supported OSes: MacOS, Linux, Unix-like.\newline Supported IPython environments: Jupyter Notebooks, JupyterLab, Google Colaboratory, Binder, Kaggle, IDE-based notebook editors, IPython shell. \\ \hline C8 & Link to developer documentation/manual & \url{https://github.com/ContextLab/davos\#readme} \\ \hline @@ -581,7 +581,7 @@ \subsection{Implementation details}\label{subsec:implementation} IPython preprocesses all executed code as plain text before it is sent to the Python compiler, in order to handle special constructs like -\texttt{!}-prefixed shell commands and \texttt{\%}-prefixed ``magic'' commands. Davos uses +\mbox{\texttt{!}-prefixed} shell commands and \mbox{\texttt{\%}-pre}\-fixed ``magic'' commands. Davos uses this same process to invisibly transform \texttt{smuggle} statements into syntactically valid Python code. The Davos parser uses a regular expression to match lines of code containing \texttt{smuggle} @@ -836,37 +836,37 @@ \section{Illustrative Example}\label{sec:illustrative-example} importable. Therefore, to take advantage of this feature, it was important to first ensure ensure that both \texttt{ipywidgets} and \texttt{widgetsnbextension} were available. -Next, we load in the reformatted dataset (line 33) and pre-trained -model (line 35) that we wish to use in our analysis. In our +Next, we load in the reformatted dataset (line 41) and pre-trained +model (line 43) that we wish to use in our analysis. In our hypothetical example, we can suppose that the model was provided as a \texttt{scikit-learn} \texttt{Pipeline} object that passes data -through two pretrained models in succession. First, a trained \texttt{CountVectorizer} +through two pre-trained models in succession. First, a trained \texttt{CountVectorizer} instance converts text data to an array of word counts. The word counts are then passed to a topic model~\cite{BleiEtal03} using a -pretrained \texttt{LatentDirichletAllocation} instance. +pre-trained \texttt{LatentDirichletAllocation} instance. \begin{center} \includegraphics[width=0.9\textwidth]{figs/example8} \end{center} Let us suppose that the \texttt{Pipeline} object had been saved by its original creator using the \texttt{joblib} package, as -\texttt{scikit-learn}'s documentation recommends \cite{skle22}. Because +\texttt{scikit-learn}'s documentation recommends \cite{skle22}. Because \texttt{joblib} uses the \texttt{pickle} protocol internally, the ability to save and load pre-trained models is not guaranteed across -different \texttt{scikit-learn} versions. For example, suppose that +different \texttt{scikit-learn} versions. For example, suppose that the \texttt{Pipeline} object was created using \texttt{scikit-learn} -v0.21.3. In that version of \texttt{scikit-learn}, the +v0.21.3. In that version (and previous versions) of \texttt{scikit-learn}, the \texttt{LatentDirichletAllocation} class was defined in -the \texttt{sklearn.de\-comp\-o\-si\-tion.online\_lda} module. However, in version -0.22.0, that module was renamed to \texttt{\_online\_lda}, and in -version 0.22.1, it was again renamed to \texttt{\_lda}. +the \texttt{sklearn.de\-comp\-o\-si\-tion.online\_lda} module. However, in version +0.22.0, that module was renamed to ``\texttt{\_online\_lda}'' and in +version 0.22.1, it was again renamed to ``\texttt{\_lda}.'' -In order to correctly load the model that includes the pre-trained -\texttt{LatentDirichlet\-Allocation} instance, in line 34, we first +In order to successfully load the model that includes the pre-trained +\texttt{Latent\-Dirichlet\-Allocation} instance, in line 42, we first \texttt{smuggle} a version of \texttt{scikit-learn} prior to v0.22.0 (i.e., -before the first time the relevant module's name was changed). Once +before the first time the relevant module's name was changed). Once the model is loaded and reconstructed in memory from a compatible -package version (line 35), we upgrade to a newer version of -\texttt{scikit-learn} in line 36. Taken together, the code in +package version (line 43), we upgrade to a newer version of +\texttt{scikit-learn} in line 44. Taken together, the code in Figure~\ref{fig:illustrative-example} shows how Davos can enable users to load in data and models that are incompatible with newer versions of \texttt{pandas} and \texttt{scikit-learn}, but still @@ -923,7 +923,7 @@ \section{Impact} Since its initial release, Davos has found use in a variety of applications. In addition to managing computing environments for multiple prior and ongoing research studies~\citep{MannEtal23a, OwenMann23, ZimaEtal23}, Davos is being -used by both students and instructors in programming and methods courses such +used by both students and instructors in programming and research methods courses such as Storytelling with Data~\cite{Mann21a} (an open course on data science, visualization, and communication), Laboratory in Psychological Science~\cite{Mann22} (an open course on experimental and statistical methods From 777b9447c2299bc566d20ab0fdcaf49eb935c137 Mon Sep 17 00:00:00 2001 From: paxtonfitzpatrick Date: Sat, 30 Sep 2023 00:57:06 -0400 Subject: [PATCH 06/20] implemented some of @jeremymanning's edits -- thank you! --- paper/main.tex | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/paper/main.tex b/paper/main.tex index df041e9..ab72611 100644 --- a/paper/main.tex +++ b/paper/main.tex @@ -214,7 +214,7 @@ \section{Motivation and significance} to both contributing to and taking advantage of open science resources. -We designed Davos to occupy a ``sweet spot'' within this spectrum. +We designed Davos to occupy a ``sweet spot'' within this space. Davos is a notebook-installable package that adds functionality to the default notebook experience. Like standard Jupyter notebooks, Davos-enhanced notebooks allow researchers to include text, executable @@ -509,7 +509,7 @@ \subsubsection{Configuring and querying Davos}\label{subsec:config} \item \texttt{.all\_projects}: This attribute contains a list of all Davos projects that exist on the user's local system (see Sec.~\ref{subsec:projects} for more information about Davos projects). Each item in this list is either a \texttt{Project} or \texttt{AbstractProject} instance. - \texttt{AbstractProject}s represent notebook-specific projects whose associated notebooks no longer exist. + \texttt{Abstract\-Project}s represent notebook-specific projects whose associated notebooks no longer exist. They support the same functionality as \texttt{Project} objects (including methods for inspecting, renaming, and deleting them) and serve primarily to help users identify and clean up extraneous projects left behind after deleting Davos-enhanced notebooks (e.g., see Sec.~\ref{subsec:toplevel}). \item \texttt{.environment}: This attribute's value is a string denoting the set of environment-dependent ``helper functions'' used by Davos in the current notebook. @@ -775,7 +775,7 @@ \section{Illustrative Example}\label{sec:illustrative-example} \includegraphics[width=0.9\textwidth]{figs/example5} \end{center} -After re-enabling these two options (line 24), we next \texttt{smuggle} +After reverting these two options (line 24) to their default values, we next \texttt{smuggle} specific versions of three plotting packages: \texttt{Matplotlib}~\cite{Hunt07}, \texttt{seaborn}~\cite{Wask21}, and \texttt{Quail}~\cite{HeusEtal17} (lines 26--28). Because the first two @@ -817,7 +817,7 @@ \section{Illustrative Example}\label{sec:illustrative-example} As noted in Section \ref{subsec:projects}, this is typically discouraged, as doing so can risk interfering with the user's Python environment if existing package versions are overwritten. In this particular case, however, a combination of factors make this relatively safe and inconsequential. First, the package we need to install directly into the notebook server environment (\texttt{widgetsnbextension}) is smuggled without an accompanying onion comment (line 34), meaning that Davos will not replace any version the user may already have installed. -Second, the package has no dependencies of its own, so if Davos does install it, no other packages could potentially be installed or updated as a side effect. +Second, the package has no dependencies of its own, so if Davos does install it, no other packages will be installed or updated as a side effect. Third, the package itself provides no functionality outside of rendering Jupyter widgets, so its presence would not alter any other code's expected behavior. Next, in lines 31--33, we change the \texttt{pip} executable Davos uses to install smuggled packages (see Sec.~\ref{subsec:config}), storing the default executable's path in a variable before doing so. From 27854cab78f52aefb65333d0a456eafaba2e17f4 Mon Sep 17 00:00:00 2001 From: paxtonfitzpatrick Date: Sat, 30 Sep 2023 01:10:20 -0400 Subject: [PATCH 07/20] rough version of new impact paragraph --- paper/main.tex | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/paper/main.tex b/paper/main.tex index ab72611..17096e2 100644 --- a/paper/main.tex +++ b/paper/main.tex @@ -878,6 +878,14 @@ \section{Illustrative Example}\label{sec:illustrative-example} \section{Impact} +We designed Davos for use in research settings, where code for tasks such as processing and analyzing data or generating figures and tables is frequently shared among teams of collaborators during the research process, as well as with the broader scientific community and general public upon a project's completion. +In such situations, ensuring that shared code yields consistent, reproducible outputs across users and over time can be critically important, while the tools used to achieve this goal can often be complex to set up and challenging to successfully use. +In many cases, Davos can serve as a drop-in replacement for existing tools that are more challenging to set up and use, such as virtual environments, containers, and virtual machines. +For researchers, this can lower barriers to collaborating with peers and contributing to publicly available open science resources. +By eliminating most of the setup costs of reconstructing the original researchers' computing environment, Davos also lowers barriers to entry for members of the scientific community and the public who seek to run shared code. + +Among existing tools for sharing code within the Python ecosystem, Davos is most comparable to virtual environments, as it helps ensure reproducibility by + Like virtual environments, containers, and virtual machines, the Davos package (when used in conjunction with Jupyter notebooks) provides a light\-weight mechanism for sharing code and From 1aa26aec57b0d95e975beffc4e2f676204374f97 Mon Sep 17 00:00:00 2001 From: paxtonfitzpatrick Date: Sat, 30 Sep 2023 15:52:03 -0400 Subject: [PATCH 08/20] big update to impact section --- paper/main.tex | 70 ++++++++++++++++++++++++-------------------------- 1 file changed, 34 insertions(+), 36 deletions(-) diff --git a/paper/main.tex b/paper/main.tex index 17096e2..4f84e99 100644 --- a/paper/main.tex +++ b/paper/main.tex @@ -878,43 +878,41 @@ \section{Illustrative Example}\label{sec:illustrative-example} \section{Impact} -We designed Davos for use in research settings, where code for tasks such as processing and analyzing data or generating figures and tables is frequently shared among teams of collaborators during the research process, as well as with the broader scientific community and general public upon a project's completion. -In such situations, ensuring that shared code yields consistent, reproducible outputs across users and over time can be critically important, while the tools used to achieve this goal can often be complex to set up and challenging to successfully use. -In many cases, Davos can serve as a drop-in replacement for existing tools that are more challenging to set up and use, such as virtual environments, containers, and virtual machines. +We designed Davos for use in research settings, where code for numerous different tasks---from processing data, to running statistical analyses, to generating figures and tables for publication---is frequently shared among collaborators while working on a project, and eventually with the broader scientific community and general public upon a its completion. +In these contexts, ensuring that shared code yields consistent, reproducible outputs across users and over time is crucially important, yet the tools available to researchers for doing so can be complex to set up and challenging to properly use. +This has the dual effect of discouraging scientists from sharing their code in a reproducible way (or at all), and making it significantly harder (or impossible) for others to successfully reproduce their results, adopt or extend their methods, and contribute to or build upon their work. +Ultimately, the need to install and master additional tools in order to share and run reproducible code can impede progress both on the individual level and on the broader scientific level. + +While the Davos package by no means offers a universal solution to this problem, it can, in many cases, provide an effective yet more accessible alternative to existing systems for sharing reproducible Python code, such as virtual environments, containers, and virtual machines (see Fig.~\ref{fig:code-sharing}). For researchers, this can lower barriers to collaborating with peers and contributing to publicly available open science resources. -By eliminating most of the setup costs of reconstructing the original researchers' computing environment, Davos also lowers barriers to entry for members of the scientific community and the public who seek to run shared code. - -Among existing tools for sharing code within the Python ecosystem, Davos is most comparable to virtual environments, as it helps ensure reproducibility by - -Like virtual environments, containers, and virtual machines, the -Davos package (when used in conjunction with Jupyter -notebooks) provides a light\-weight mechanism for sharing code and -ensuring reproducibility across users and computing environments -(Fig.~\ref{fig:code-sharing}). Further, Davos enables users -to fully specify (and install, as needed) any project dependencies -within the same notebook. This provides a system whereby executable -code (along with text and media) \textit{and} code for setting up and -configuring the project dependencies, may be combined within a single -notebook file. - -Although existing notebooks \textit{can} incorporate system calls that install -project requirements, handling project requirements in the general case is -non-trivial (e.g., see Fig.~\ref{fig:flow-chart}). Further, Davos -incorporates its own virtual environment system that isolates -notebook-installed packages from the runtime environment -(Sec.~\ref{subsec:projects}). In many setups this feature can eliminate the -need to set up a separate virtual environment or container (e.g., in -conjunction with a \texttt{requirements.txt}, \texttt{project.toml}, or -\texttt{environment.yml} file specifying the project's dependencies). - -We designed Davos for use in research applications. For -example, in many settings, Davos may be used as a drop-in -replacement for more-difficult-to-set-up virtual environments, -containers, and/or virtual machines. For researchers, this lowers -barriers to sharing code. By eliminating most of the setup costs of -reconstructing the original researchers' computing environment, -Davos also lowers barriers to entry for members of the -scientific community and the public who seek to run shared code. +And by eliminating most of the setup costs of reconstructing the original researchers' computing environment, Davos also lowers barriers to entry for members of the scientific community and the public who seek to run shared code. + +Among common systems for sharing reproducible Python code (see Fig.~\ref{fig:code-sharing}), Davos is most comparable to virtual environments as it similarly provides a lightweight mechanism for specifying and sharing a complete set of packages (and specific package versions) required by a particular project, and installing those packages into an isolated directory on the user's file system. +However, when used in conjunction with Jupyter notebooks, Davos offers a number of advantages over standard virtual environments that make it both easier to use and more effective at ensuring reproducibility of shared code. + +First, \texttt{smuggle} statements and onion comments enable researchers to specify their notebooks' dependencies directly within the code that requires them (see Secs.~\ref{subsec:smuggle} and \ref{subsec:onion}). +This eliminates the need to either manually create and maintain separate configuration files or use an additional tool to generate them, and to then distribute these files alongside their primary code base for users to download. + +Second, Davos automatically checks for, installs, isolates, and imports any required packages at runtime. +This allows users to download and immediately run a Davos-enhanced notebook without any prerequisite setup (beyond that needed to run a standard Jupyter notebook). +By contrast, before running a notebook whose dependencies are managed via a virtual environment, the user would first need to run a series of shell commands to manually create a new environment, populate it with packages from the researcher's configuration file (which the user must also have obtained), and then either use the \texttt{ipykernel} package to register the environment as a Jupyter kernel, or activate and deactivate the environment before and after (respectively) each time the notebook was launched. +Beyond reducing this initial setup cost, Davos's runtime-based approach to dependency management affords a second important benefit. +While creating and configuring a virtual environment ensures that a specific set of packages is initially installed, it does not guarantee that they will \textit{remain} installed after that point. +For example, a researcher who creates a virtual environment in which to run a set of data analyses---or a different user who later recreates that environment to reproduce them---might at some point install an additional package into the environment after its initial setup (e.g., to implement a new analysis idea). +Depending on the requirements of this new package, this could cause one or more initially installed packages to be upgraded or downgraded to a different version. +If the individual does not happen to notice this change when it occurs, differences between those packages' expected and installed versions may introduce bugs into previously written code or subtly alter its output when it is next run. +Because \texttt{smuggle} statements and onion comments are evaluated every time a Davos-enhanced notebook is run, they function to ensure that the notebook's dependencies are always satisfied and that any such inadvertent changes would be automatically caught and corrected. + +Third, running a shared notebook that uses Davos to manage its dependencies often requires less (but never more) space on the user's system than running an identical notebook inside a virtual environment. +While typical virtual environment directories will contain \textit{all} requirements listed in their configuration files, Davos's isolated project directories (by default; see Sec.~\ref{subsec:projects}) contain only those not already available in the user's existing Python environment. +This is another feature made possible by Davos's runtime-based dependency management scheme. +Davos can safely draw from packages in from the user's main environment to satisfy a notebook's dependencies, when possible, because if those packages were to be updated or removed at any point such that they no longer met the notebook's requirements, appropriate versions could (and would) be installed into the project directory the next time the notebook was executed. + +Finally, neither virtual environments nor Davos-enhanced notebooks can bundle specific versions of Python with which to run shared code. +However, Davos's \texttt{require\_\-python()} function provides a simple mechanism for indicating a required or constrained Python version and alerting the user at runtime (by raising an exception) if their Python version is incompatible. +In terms of Davos's ability to ensure that shared code can be executed reproducibly by other users, this falls short of the capabilities of more complex tools that can provide complete copies of Python (see Fig.~\ref{fig:code-sharing}) and should be preferred over Davos in cases where this is necessary. +However, the functionality it provides over what is possible with a standard virtual environment is removing the \textit{expectation} that running a particular notebook will reproduce an expected outcome in situations where this is either impossible or not guaranteed. +With this understanding, a user may choose to install a compatible Python version through some other means or elect to still run the code, but will not be surprised by a potential failure to execute successfully or output an expected result. Beyond research applications, Davos is also useful in pedagogical settings. For example, in programming courses, instructors From 7bcaa1b0c8bc07ce85256b487b6886a8d986a10b Mon Sep 17 00:00:00 2001 From: paxtonfitzpatrick Date: Sat, 30 Sep 2023 15:53:03 -0400 Subject: [PATCH 09/20] updates to pitfalls and limitations section --- paper/main.tex | 56 ++++++++++++++++++++++---------------------------- 1 file changed, 25 insertions(+), 31 deletions(-) diff --git a/paper/main.tex b/paper/main.tex index 4f84e99..3e05371 100644 --- a/paper/main.tex +++ b/paper/main.tex @@ -920,7 +920,7 @@ \section{Impact} notebooks will run correctly on others' machines. When combined with online notebook-based platforms like Google Colaboratory, Davos provides a convenient way to manage dependencies within -a notebook, without requiring any software (beyond a web browser) to +a notebook without requiring any software (beyond a web browser) to be installed on the students' or instructors' systems. For the same reasons, Davos also provides an elegant means of sharing ready-to-run notebook-based demonstrations or tutorials that install @@ -984,30 +984,26 @@ \subsection{Pitfalls and limitations} While Davos enables developers to conveniently specify all project dependencies, there are some edge cases and limitations that are worth -considering. First, reproducibility is not solely about dependency management. -In addition to ensuring that project dependencies are satisfied, the user -running a given notebook must also execute the code in the indicated order. For -example, the cells in a notebook may be manually run out of order. If different -cells in a Davos-enhanced notebook made use of different versions of the same -package, this could result in \textit{more} confusion or \textit{greater} -replication failure rates relative to standard Jupyter notebooks. Therefore an -important consideration when using Davos is that it is perhaps even more -important to execute notebook cells in order than would be the case in the -standard (non-Davos) setup. One approach to mitigating this risk for notebooks -that use several versions of the same library would be to include -\texttt{smuggle} statements in the same cell(s) where the library was called. A -second approach would be for developers who wish to use Davos to include notes -regarding which cells must be executed in sequence. This is already a common -practice for notebooks that include system calls to install required packages -and dependencies, and the same approach would work well for Davos-enhanced -notebooks as well. +considering. +First, prior studies on reproducibility of Jupyter notebooks (e.g., \cite{PimeEtal19}) identified a key challenge in the fact that, unlike Python scripts, notebook cells may be manually executed in a non-linear order, which may differ from the order in which they were executed by the notebook's original author. +This can result in various ``hidden state'' problems, such as variables referencing different objects than the currently running cell expects them to, given its point in the notebook's execution order. +In theory, using Davos to \texttt{smuggle} different versions of the same package across different notebook cells could exacerbate this issue if a user executed those cells out of their intended order. +Therefore an important consideration when using Davos is that it is perhaps even more important to execute notebook cells in order than would be the case in the standard (non-Davos) setup. +However, a few ``best practices'' may be adopted to help mitigate this risk. +First, when sharing a Davos-enhanced notebook in a state that is intended to be reproducible, code cells should appear in their intended execution order, such that users can successfully run them top to bottom. +In a scenario where this is impossible, the intended order should be clearly indicated in code comments and/or markdown cells. +This is already a common practice for notebooks that include system calls to install required packages and dependencies, and the same approach would work well in Davos-enhanced notebooks. +Second, while Davos makes it possible to \texttt{smuggle} multiple versions of a package within the same notebook, users should prefer to split code that requires different versions of the same package into different notebooks. +In addition to mitigating the issue described above, this will also allow Davos to store a single intended version of the package in each notebook's project directory, rather than reinstalling the package each time a different version is smuggled. +Finally, in situations where it \textit{is} necessary or preferable to temporarily \texttt{smuggle} a different version of a particular package than is used throughout the rest of the notebook (e.g., Fig.~\ref{fig:illustrative-example}), the code to \texttt{smuggle} that temporary version, perform all necessary operations, and (re-)\texttt{smuggle} the ``default'' version should be contained within a single notebook cell, such that (absent any errors in its execution) the same version is always installed and imported before and after the cell is run. +For example, in Figure~\ref{fig:illustrative-example}, lines 14--19 should be run within a single cell, and lines 42--44 should be run in a single cell. A second limitation of Davos relates to how packages are installed and managed. As of this writing, Davos can install packages using \texttt{pip}, but not other standard Python package management systems such as \texttt{conda}. Therefore packages that are not installable via \texttt{pip} are currently unsupported by Davos. We anticipate adding support for other package management -systems, including \texttt{conda}, in a future release. +systems, including \texttt{conda} \cite{Anac12}, in a future release. A third limitation of Davos is that it cannot be used to manage projects that depend on non-Python software. For example, system software or libraries from @@ -1016,19 +1012,17 @@ \subsection{Pitfalls and limitations} software would therefore need to use existing non-Davos approaches to managing those requirements. -Our Project infrastructure (Sec.~\ref{subsec:projects}) provides a ``safe'' way +Davos's ``projects'' system (Sec.~\ref{subsec:projects}) provides a safe way of managing project dependencies without interfering with the user's Python -environment. However, our implementation of this functionality cannot -anticipate every possible development environment. As of this writing, we -support many common notebook environments, including classic Jupyter Notebooks, -Google Colaboratory, Kaggle Notebooks, Visual Studio Code, among others. -However, some environments (e.g., Visual Studio Code) implement their own -mechanisms for rendering and running notebook code. In cases where our Project -infrastructure is not equipped to handle a particular development or runtime -environment, Davos will fall back to installing packages in a ``default'' -environment that is shared across all notebooks. This enables Davos to protect against -modifying the runtime environment, but it also means that packages may be installed -or overwritten across notebooks that use different versions of those packages. +environment. By default, each Davos-enhanced notebook creates and uses its own +notebook-specific project directory, which is named based on the notebook's absolute +path. However, programmatically determining the path to the currently running +notebook may not be possible in some environments. +For example, Davos queries the Jupyter Server API to determine the notebook's name, but some non-browser applications may implement mechanisms for communicating with the IPython kernel without starting a Jupyter server. +As of this writing, Davos fully supports most common notebook environments, including classic Jupyter Notebooks, +JupyterLab, Google Colaboratory, Binder, Kaggle Notebooks, JetBrains IDEs (PyCharm, DataSpell, etc.), and Visual Studio Code, among others. +However, in cases where Davos fails to determine the current notebook's path, it will issue a warning and fall back to using a generic project named ``davos-fallback.'' This project is shared across all such occurrences and exists to ensure that even if some component of Davos's project system fails, smuggling packages will still not affect the user's main Python environment. If this occurs, the user can also manually set Davos to use the ``normal'' default project for the current by setting \texttt{davos.project} to its absolute or relative path. + \section{Conclusions} From d6ca8ba7565bf1bdc2959515898588dc8e29132a Mon Sep 17 00:00:00 2001 From: paxtonfitzpatrick Date: Sat, 30 Sep 2023 15:53:22 -0400 Subject: [PATCH 10/20] updates to conclusion --- paper/main.tex | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/paper/main.tex b/paper/main.tex index 3e05371..e4c7fea 100644 --- a/paper/main.tex +++ b/paper/main.tex @@ -1027,8 +1027,11 @@ \subsection{Pitfalls and limitations} \section{Conclusions} The Davos package supports reproducible research by providing -a novel, lightweight system for sharing notebook-based code. But -perhaps the most exciting uses of the Davos package are those +a novel, lightweight system for sharing notebook-based code. It +expands on Python's ``batteries included'' philosophy to enable running shared +notebooks with no setup required, and defines a simple, self-documenting format for +specifying dependencies in the spirit of ``literate programming'' paradigm Jupyter notebooks promote. +But perhaps the most exciting uses of the Davos package are those that we have \textit{not} yet considered or imagined. We hope that the research and scientific Python communities will find Davos to provide a convenient means of managing project dependencies to facilitate code sharing and collaboration. 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