The lfg-parser is a parser for the Lexical Functional Grammar formalism developed as part of my MA dissertation. For more information you can contact me at pminos at gmail dot com. Standalone Archive (Linux / Mac OS X / Unix) lfg-parser-gui-1.0.0-unix.tar.gz.
If you are not controlling the liquids at your landfill, your landfill gas collection system may be flooded and may not be running at maximum efficiency. This webinar will discuss best practices for managing liquids in LFG wells and condensate sumps and case histories from sites that have improved gas collection by as much as 200%. This webinar will provide a basic primer on landfill gas collection today and discuss the benefits of LFG well dewaterng systems to help the landfill run at peak efficiency.
Win+G it with Xbox Game Bar, the customizable, gaming overlay built into Windows 10. Xbox Game Bar works with most PC games, giving you instant access to widgets for screen capture and sharing, finding new teammates with LFG, and chatting with Xbox friends across Xbox console, mobile, and PC—all without leaving your game. The LFG range starts with the LFG, which supports capture from one of four composite/ monochrome sources or one S-Video. At the top of the range is the LFG4, which can simultaneously capture four from a total of sixteen composite/monochrome inputs or alternatively four S-Video inputs. Mobile - Transfer Data from Android to Mac. Learn how to use, update, maintain and troubleshoot your LG devices and appliances. To properly experience our LG.com website, you will need to use an alternate browser or upgrade to a newer version of internet Explorer (IE10 or greater).
Presentation Will Include:
• Why is landfill gas collection becoming so popular around the world?
• Why collect landfill gas?
• How is landfill gas collected and used?
• What affects gas well efficiencies?
• How can LFG well pumping systems improve gas flows and well integrity?
• Economic benefits of dedicated LFG pumping systems.
Who Should Attend?
• Facility Environmental Managers
• Engineers
• Environmental Specialists
• Plant Utility Workers
• Engineering Firms
• Operating Firms
• Consultants and Regulators
Price: NO CHARGE
Speaker: David Kaminski is Senior Vice President of QED Environmental Systems and is a frequent presenter on groundwater sampling technology to organizations, universitites, and regulatory agencies worldwide. He has been awarded four U.S. patents for developing new devices and methods for groundwater sampling applications and is an instructor at the Princeton Groundwater Pollution & Hydrology course (www.princeton-groundwater.com). Over the past 30 years he has published several papers on groundwater sampling practices and sampling system design and has presented these topics at over a hundred conferences, seminars and site based courses.
About QED
QED Environmental Systems is a leading manufacturer of engineered systems for environmental monitoring, landfill pumping systems and remediation equipment since 1982. QED is an international supplier of air-powered and electric submersible pumping systems for landfill leachate procurement, LFG well dewatering, groundwater sampling, groundwater remediation, and air strippers for landfill leachate pretreatment VOC removal from contaminated waters and drinking water treatment. QED is a Graco company
Attention Mac Users: As of November 15, GoToWebinar requires Mac users to run Mac OS X 10.8 (Mountain Lion) or higher in order to start and join sessions from their desktops. To ensure uninterrupted service, please upgrade your Mac OX 10.7 (Lion) operating system today. In many cases, you will be able to upgrade your Mac to Apple’s latest operating system, Mac OS X 10.10 (Yosemite), for no charge. See www.apple.com/osx/how-to-upgrade for more details.
Git is a distributed version control system, meaning the entire history of the repository is transferred to the client during the cloning process. For projects containing large files, particularly large files that are modified regularly, this initial clone can take a huge amount of time, as every version of every file has to be downloaded by the client. Git LFS (Large File Storage) is a Git extension developed by Atlassian, GitHub, and a few other open source contributors, that reduces the impact of large files in your repository by downloading the relevant versions of them lazily. Specifically, large files are downloaded during the checkout process rather than during cloning or fetching.
Git LFS does this by replacing large files in your repository with tiny pointer files. During normal usage, you'll never see these pointer files as they are handled automatically by Git LFS:
When you add a file to your repository, Git LFS replaces its contents with a pointer, and stores the file contents in a local Git LFS cache.
When you push new commits to the server, any Git LFS files referenced by the newly pushed commits are transferred from your local Git LFS cache to the remote Git LFS store tied to your Git repository.
When you checkout a commit that contains Git LFS pointers, they are replaced with files from your local Git LFS cache, or downloaded from the remote Git LFS store.
Git LFS is seamless: in your working copy you'll only see your actual file content. This means you can use Git LFS without changing your existing Git workflow; you simply git checkout
, edit, git add
, and git commit
as normal. git clone
and git pull
operations will be significantly faster as you only download the versions of large files referenced by commits that you actually check out, rather than every version of the file that ever existed.
To use Git LFS, you will need a Git LFS aware host such as Bitbucket Cloud or Bitbucket Server. Repository users will need to have the Git LFS command-line client installed, or a Git LFS aware GUI client such as Sourcetree. Fun fact: Steve Streeting, the Atlassian developer who invented Sourcetree, is also a major contributor to the Git LFS project, so Sourcetree and Git LFS work together rather well.
What is Git LFS?
There are three easy ways to install Git LFS:
a. Install it using your favorite package manager. git-lfs
packages are available for Homebrew, MacPorts, dnf, and packagecloud; or
b. Download and install Git LFS from the project website; or
c. Install Sourcetree, a free Git GUI client that comes bundled with Git LFS.
Once git-lfs is on your path, run git lfs install to initialize Git LFS (you can skip this step if you installed Sourcetree):
You'll only need to run git lfs install
once. Once initialized for your system, Git LFS will bootstrap itself automatically when you clone a repository containing Git LFS content.
To create a new Git LFS aware repository, you'll need to run git lfs install after you create the repository:
This installs a special pre-push
Git hook in your repository that will transfer Git LFS files to the server when you git push
.
Git LFS is automatically enabled for all Bitbucket Cloud repositories. For Bitbucket Server, you'll need to enable Git LFS in your repository settings:
Once Git LFS is initialized for your repository, you can specify which files to track using git lfs track
.
Once Git LFS is installed, you can clone a Git LFS repository as normal using git clone
. At the end of the cloning process Git will check out the default branch (usually master
), and any Git LFS files needed to complete the checkout process will be automatically downloaded for you. For example:
There are four PNGs
in this repository being tracked by Git LFS. When running git clone, Git LFS files are downloaded one at a time as pointer files are checked out of your repository.
If you're cloning a repository with a large number of LFS files, the explicit git lfs clone
command offers far better performance:
Rather than downloading Git LFS files one at a time, the git lfs clone
command waits until the checkout is complete, and then downloads any required Git LFS files as a batch. This takes advantage of parallelized downloads, and dramatically reduces the number of HTTP requests and processes spawned (which is especially important for improving performance on Windows).
Just like cloning, you can pull from a Git LFS repository using a normal git pull
. Any needed Git LFS files will be downloaded as part of the automatic checkout process once the pull completes:
No explicit commands are needed to retrieve Git LFS content. However, if the checkout fails for an unexpected reason, you can download any missing Git LFS content for the current commit with git lfs pull
:
Like git lfs clone
, git lfs pull
downloads your Git LFS files as a batch. If you know a large number of files have changed since the last time you pulled, you may wish to disable the automatic Git LFS download during checkout, and then batch download your Git LFS content with an explicit git lfs pull
. This can be done by overriding your Git config with the -c
option when you invoke git pull
:
Since that's rather a lot of typing, you may wish to create a simple Git alias to perform a batched Git and Git LFS pull for you:
This will greatly improve performance when a large number of Git LFS files need to be downloaded (again, especially on Windows).
When you add a new type of large file to your repository, you'll need to tell Git LFS to track it by specifying a pattern using the git lfs track
command:
Note that the quotes around '*.ogg'
are important. Omitting them will cause the wildcard to be expanded by your shell, and individual entries will be created for each .ogg
file in your current directory:
The patterns supported by Git LFS are the same as those supported by .gitignore
, for example:
These patterns are relative to the directory in which you ran the git lfs track
command. To keep things simple, it is best to run git lfs track
from the root of your repository. Note that Git LFS does not support negative patterns like .gitignore
does.
After running git lfs track
, you'll notice a new file named .gitattributes
in the directory you ran the command from. .gitattributes
is a Git mechanism for binding special behaviors to certain file patterns. Git LFS automatically creates or updates .gitattributes
files to bind tracked file patterns to the Git LFS filter. However, you will need to commit any changes to the .gitattributes
file to your repository yourself:
For ease of maintenance, it is simplest to keep all Git LFS patterns in a single .gitattributes
file by always running git lfs track
from the root of your repository. However, you can display a list of all patterns that are currently tracked by Git LFS (and the .gitattributes
files they are defined in) by invoking git lfs track
with no arguments:
You can stop tracking a particular pattern with Git LFS by simply removing the appropriate line from your .gitattributes
file, or by running the git lfs untrack
command:
After running git lfs untrack
you will again have to commit the changes to .gitattributes
yourself.
You can commit and push as normal to a repository that contains Git LFS content. If you have committed changes to files tracked by Git LFS, you will see some additional output from git push
as the Git LFS content is transferred to the server:
If transferring the LFS files fails for some reason, the push will be aborted and you can safely try again. Like Git, Git LFS storage is content addressable: content is stored against a key which is a SHA-256 hash of the content itself. This means it is always safe to re-attempt transferring Git LFS files to the server; you can't accidentally overwrite a Git LFS file's contents with the wrong version.
To migrate a Git LFS repository from one hosting provider to another, you can use a combination of git lfs fetch
and git lfs push
with the --all option
specified.
For example, to move all Git and Git LFS repository from a remote named github
to a remote named bitbucket
😉 :
Git LFS typically only downloads the files needed for commits that you actually checkout locally. However, you can force Git LFS to download extra content for other recently modified branches using git lfs fetch --recent
:
This is useful for batch downloading new Git LFS content while you're out at lunch, or if you're planning on reviewing work from your teammates and will not be able to download content later on due to limited internet connectivity. For example, you may wish to run git lfs fetch --recent
before jumping on a plane!
Git LFS considers any branch or tag containing a commit newer than seven days as recent. You can configure the number of days considered as recent by setting the lfs.fetchrecentrefsdays
property:
By default, git lfs fetch --recent
will only download Git LFS content for the commit at the tip of a recent branch or tag.
However you can configure Git LFS to download content for earlier commits on recent branches and tags by configuring the lfs.fetchrecentcommitsdays
property:
Use this setting with care: if you have fast moving branches, this can result in a huge amount of data being downloaded. However it can be useful if you need to review interstitial changes on a branch, cherry picking commits across branches, or rewrite history.
As discussed in Moving a Git LFS repository between hosts, you can also elect to fetch all Git LFS content for your repository with git lfs fetch --all
:
You can delete files from your local Git LFS cache with the git lfs prune
command:
This will delete any local Git LFS files that are considered old. An old file is any file not referenced by:
lfs.pruneremotetocheck
is set to)By default, a recent commit is any commit created in the last ten days. This is calculated by adding:
lfs.fetchrecentrefsdays
property discussed in Fetching extra Git LFS history (which defaults to seven); tolfs.pruneoffsetdays
property (which defaults to three)You can configure the prune offset to retain Git LFS content for a longer period:
Unlike Git's built-in garbage collection, Git LFS content is not pruned automatically, so running git lfs prune
on a regular basis is a good idea to keep your local repository size down.
You can test out what effect a prune operation will have with git lfs prune --dry-run
:
And exactly which Git LFS objects will be pruned with git lfs prune --verbose --dry-run
:
The long hexadecimal strings output by --verbose
mode are SHA-256 hashes (also known as Object IDs, or OIDs) of the Git LFS objects to be pruned. You can use the techniques described in Finding paths or commits that reference a Git LFS object to find our more about the objects that will be pruned.
As an additional safety check, you can use the --verify-remote
option to check whether the remote Git LFS store has a copy of your Git LFS objects before they are pruned:
This makes the pruning process significantly slower, but gives you peace of mind knowing that any pruned objects are recoverable from the server. You can enable the --verify-remote
option permanently for your system by configuring the lfs.pruneverifyremotealways
property globally:
Or you can enable remote verification for just the context repository by omitting the --global
option from the command above.
The Git LFS command-line client doesn't support pruning files from the server, so how you delete them depends on your hosting provider.
In Bitbucket Cloud, you can view and delete Git LFS files via Repository Settings > Git LFS:
Note that each Git LFS file is indexed by its SHA-256 OID; the paths that reference each file are not visible via the UI. This is because there could be many different paths at many different commits that may refer to a given object, so looking them up would be a very slow process.
To determine what a given Git LFS file actually contains, you have three options:
If you have a Git LFS SHA-256 OID, you can determine which commits reference it with git log --all -p -S
:
This git log
incantation generates a patch (-p
) from commits on any branch (--all
) that add or remove a line (-S
) containing the specified string (a Git LFS SHA-256 OID).
The patch shows you the commit and the path to the LFS object, as well as who added it, and when it was committed. You can simply checkout the commit, and Git LFS will download the file if needed and place it in your working copy.
If you suspect that a particular Git LFS object is in your current HEAD, or on a particular branch, you can use git grep
to find the file path that references it:
You can replace HEAD
or power-ups
with any ref, commit, or tree that contains the Git LFS object.
In some situations you may want to only download a subset of the available Git LFS content for a particular commit. For example, when configuring a CI build to run unit tests, you may only need your source code, so may want to exclude heavyweight files that aren't necessary to build your code.
You can exclude a pattern or subdirectory using git lfs fetch -X
(or --exclude
):
Alternatively, you may want to only include a particular pattern or subdirectory. For example, an audio engineer could fetch just ogg
and wav
files with git lfs fetch -I
(or --include
):
If you combine includes and excludes, only files that match an include pattern and do not match an exclude pattern will be fetched. For example, you can fetch everything in your Assets directory exceptgifs
with:
Excludes and includes support the same patterns as git lfs track
and .gitignore
. You can make these patterns permanent for a particular repository by setting the lfs.fetchinclude
and lfs.fetchexclude
config properties:
These settings can also be applied to every repository on your system by appending the --global
option.
Unfortunately, there is no easy way of resolving binary merge conflicts. With Git LFS file locking, you can lock files by extension or by file name and prevent binary files from being overwritten during a merge.
In order to take advantage of LFS' file locking feature, you first need to tell Git which type of files are lockable. In the example below, the `--lockable` flag is appended to the `git lfs track` command which both stores PSD files in LFS and marks them as lockable.
Then add the following to your .gitattributes file:
When preparing to make changes to an LFS file, you'll use the lock command in order to register the file as locked on your Git server.
Once you no longer need the file lock, you can remove it using Git LFS' unlock command.
Git LFS file locks can be overridden, similar to git push
, using a --force
flag. Do not use the --force
flag unless you’re absolutely sure you know what you’re doing.
If you're interested in learning more about clean and smudge filters, pre-push hooks, and the other interesting computer science behind Git LFS, check out this presentation from Atlassian on Git LFS at LinuxCon 2016: