conversations listlengths 2 2 |
|---|
[
{
"from": "human",
"value": "Test an Accelerate configuration file"
},
{
"from": "gpt",
"value": "accelerate test --config_file path/to/config.yaml"
}
] |
[
{
"from": "human",
"value": "Run a model on CPU with Accelerate"
},
{
"from": "gpt",
"value": "accelerate launch path/to/script.py --cpu"
}
] |
[
{
"from": "human",
"value": "Run a model on multi-GPU with Accelerate, with 2 machines"
},
{
"from": "gpt",
"value": "accelerate launch path/to/script.py --multi_gpu --num_machines 2"
}
] |
[
{
"from": "human",
"value": "Execute a code snippet"
},
{
"from": "gpt",
"value": "ngs -e \"echo('ngs is executed')\""
}
] |
[
{
"from": "human",
"value": "Execute a script"
},
{
"from": "gpt",
"value": "ngs path/to/script.ngs"
}
] |
[
{
"from": "human",
"value": "Display version"
},
{
"from": "gpt",
"value": "ngs --version"
}
] |
[
{
"from": "human",
"value": "Install project dependencies from `package-lock.json` or `npm-shrinkwrap.json`"
},
{
"from": "gpt",
"value": "npm ci"
}
] |
[
{
"from": "human",
"value": "Install project dependencies but skip the specified dependency type"
},
{
"from": "gpt",
"value": "npm ci --omit=dev|optional|peer"
}
] |
[
{
"from": "human",
"value": "Install project dependencies without running any pre-/post-scripts defined in `package.json`"
},
{
"from": "gpt",
"value": "npm ci --ignore-scripts"
}
] |
[
{
"from": "human",
"value": "View documentation for `gcc`"
},
{
"from": "gpt",
"value": "tldr gcc"
}
] |
[
{
"from": "human",
"value": "Install a module globally"
},
{
"from": "gpt",
"value": "yarn global add module_name"
}
] |
[
{
"from": "human",
"value": "Install all dependencies referenced in the `package.json` file (the `install` is optional)"
},
{
"from": "gpt",
"value": "yarn install"
}
] |
[
{
"from": "human",
"value": "Install a module and save it as a dependency to the `package.json` file (add `--dev` to save as a dev dependency)"
},
{
"from": "gpt",
"value": "yarn add module_name@version"
}
] |
[
{
"from": "human",
"value": "Uninstall a module and remove it from the `package.json` file"
},
{
"from": "gpt",
"value": "yarn remove module_name"
}
] |
[
{
"from": "human",
"value": "Interactively create a `package.json` file"
},
{
"from": "gpt",
"value": "yarn init"
}
] |
[
{
"from": "human",
"value": "Identify whether a module is a dependency and list other modules that depend upon it"
},
{
"from": "gpt",
"value": "yarn why module_name"
}
] |
[
{
"from": "human",
"value": "Copy an image from source to target"
},
{
"from": "gpt",
"value": "gcrane [cp|copy] source target"
}
] |
[
{
"from": "human",
"value": "Set the maximum number of concurrent copies, defaults to 20"
},
{
"from": "gpt",
"value": "gcrane copy source target [-j|--jobs] nr_of_copies"
}
] |
[
{
"from": "human",
"value": "Whether to recurse through repositories"
},
{
"from": "gpt",
"value": "gcrane copy source target [-r|--recursive]"
}
] |
[
{
"from": "human",
"value": "Display help"
},
{
"from": "gpt",
"value": "gcrane copy [-h|--help]"
}
] |
[
{
"from": "human",
"value": "Stack the planes of the specified PAM images in the specified order"
},
{
"from": "gpt",
"value": "pamstack path/to/image1.pam path/to/image2.pam ... > path/to/output.pam"
}
] |
[
{
"from": "human",
"value": "Specify the tuple type name of the output PAM file (maximum of 255 characters)"
},
{
"from": "gpt",
"value": "pamstack [-t|-tupletype] tuple_type path/to/image1.pam path/to/image2.pam ... > path/to/output.pam"
}
] |
[
{
"from": "human",
"value": "Update the local index"
},
{
"from": "gpt",
"value": "bpkg update"
}
] |
[
{
"from": "human",
"value": "Install a package globally"
},
{
"from": "gpt",
"value": "bpkg install --global package"
}
] |
[
{
"from": "human",
"value": "Install a package in a subdirectory of the current directory"
},
{
"from": "gpt",
"value": "bpkg install package"
}
] |
[
{
"from": "human",
"value": "Install a specific version of a package globally"
},
{
"from": "gpt",
"value": "bpkg install package@version -g"
}
] |
[
{
"from": "human",
"value": "Show details about a specific package"
},
{
"from": "gpt",
"value": "bpkg show package"
}
] |
[
{
"from": "human",
"value": "Run a command, optionally specifying its arguments"
},
{
"from": "gpt",
"value": "bpkg run command argument1 argument2 ..."
}
] |
[
{
"from": "human",
"value": "Display the path to the binary in the default toolchain"
},
{
"from": "gpt",
"value": "rustup which command"
}
] |
[
{
"from": "human",
"value": "Display the path to the binary in the specified toolchain (see `rustup help toolchain` for more information)"
},
{
"from": "gpt",
"value": "rustup which --toolchain toolchain command"
}
] |
[
{
"from": "human",
"value": "Start the daemon required to run other commands"
},
{
"from": "gpt",
"value": "ollama serve"
}
] |
[
{
"from": "human",
"value": "Run a model and chat with it"
},
{
"from": "gpt",
"value": "ollama run model"
}
] |
[
{
"from": "human",
"value": "Run a model with a single prompt"
},
{
"from": "gpt",
"value": "ollama run model prompt"
}
] |
[
{
"from": "human",
"value": "List downloaded models"
},
{
"from": "gpt",
"value": "ollama list"
}
] |
[
{
"from": "human",
"value": "Pull/Update a specific model"
},
{
"from": "gpt",
"value": "ollama pull model"
}
] |
[
{
"from": "human",
"value": "List running models"
},
{
"from": "gpt",
"value": "ollama ps"
}
] |
[
{
"from": "human",
"value": "Delete a model"
},
{
"from": "gpt",
"value": "ollama rm model"
}
] |
[
{
"from": "human",
"value": "Create a model from a `Modelfile`"
},
{
"from": "gpt",
"value": "ollama create new_model_name [-f|--file] path/to/Modelfile"
}
] |
[
{
"from": "human",
"value": "Update the database to a specified migration"
},
{
"from": "gpt",
"value": "dotnet ef database update migration"
}
] |
[
{
"from": "human",
"value": "Drop the database"
},
{
"from": "gpt",
"value": "dotnet ef database drop"
}
] |
[
{
"from": "human",
"value": "List available `DbContext` types"
},
{
"from": "gpt",
"value": "dotnet ef dbcontext list"
}
] |
[
{
"from": "human",
"value": "Generate code for a `DbContext` and entity types for a database"
},
{
"from": "gpt",
"value": "dotnet ef dbcontext scaffold connection_string provider"
}
] |
[
{
"from": "human",
"value": "Add a new migration"
},
{
"from": "gpt",
"value": "dotnet ef migrations add name"
}
] |
[
{
"from": "human",
"value": "Remove the last migration, rolling back the code changes that were done for the latest migration"
},
{
"from": "gpt",
"value": "dotnet ef migrations remove"
}
] |
[
{
"from": "human",
"value": "List available migrations"
},
{
"from": "gpt",
"value": "dotnet ef migrations list"
}
] |
[
{
"from": "human",
"value": "Generate an SQL script from migrations range"
},
{
"from": "gpt",
"value": "dotnet ef migrations script from_migration to_migration"
}
] |
[
{
"from": "human",
"value": "Produce a request summarizing the changes between the v1.1 release and a specified branch"
},
{
"from": "gpt",
"value": "git request-pull v1.1 https://example.com/project branch_name"
}
] |
[
{
"from": "human",
"value": "Produce a request summarizing the changes between the v0.1 release on the `foo` branch and the local `bar` branch"
},
{
"from": "gpt",
"value": "git request-pull v0.1 https://example.com/project foo:bar"
}
] |
[
{
"from": "human",
"value": "Interactively input lines into an array"
},
{
"from": "gpt",
"value": "readarray array_name"
}
] |
[
{
"from": "human",
"value": "Read lines from a file and insert them in an array"
},
{
"from": "gpt",
"value": "readarray array_name < path/to/file.txt"
}
] |
[
{
"from": "human",
"value": "Remove trailing deliminators (newline by default)"
},
{
"from": "gpt",
"value": "readarray -t array_name < path/to/file.txt"
}
] |
[
{
"from": "human",
"value": "Copy at most `n` lines"
},
{
"from": "gpt",
"value": "readarray -n n array_name < path/to/file.txt"
}
] |
[
{
"from": "human",
"value": "Display help"
},
{
"from": "gpt",
"value": "help mapfile"
}
] |
[
{
"from": "human",
"value": "Render a static image directly in the terminal"
},
{
"from": "gpt",
"value": "pixterm path/to/file"
}
] |
[
{
"from": "human",
"value": "Use the image's original aspect ratio"
},
{
"from": "gpt",
"value": "pixterm -s 2 path/to/file"
}
] |
[
{
"from": "human",
"value": "Specify a custom aspect ratio using a specific number of [t]erminal [r]ows and [c]olumns"
},
{
"from": "gpt",
"value": "pixterm -tr 24 -tc 80 path/to/file"
}
] |
[
{
"from": "human",
"value": "Filter the output with a [m]atte background color and character [d]ithering"
},
{
"from": "gpt",
"value": "pixterm -m 000000 -d 2 path/to/file"
}
] |
[
{
"from": "human",
"value": "View documentation for the original command"
},
{
"from": "gpt",
"value": "tldr nm"
}
] |
[
{
"from": "human",
"value": "Launch ranger"
},
{
"from": "gpt",
"value": "ranger"
}
] |
[
{
"from": "human",
"value": "Show only directories"
},
{
"from": "gpt",
"value": "ranger --show-only-dirs"
}
] |
[
{
"from": "human",
"value": "Change the configuration directory"
},
{
"from": "gpt",
"value": "ranger --confdir=path/to/directory"
}
] |
[
{
"from": "human",
"value": "Change the data directory"
},
{
"from": "gpt",
"value": "ranger --datadir=path/to/directory"
}
] |
[
{
"from": "human",
"value": "Print CPU usage statistics on exit"
},
{
"from": "gpt",
"value": "ranger --profile"
}
] |
[
{
"from": "human",
"value": "Convert an XPM image to a PPM image"
},
{
"from": "gpt",
"value": "xpmtoppm path/to/input_file.xpm > path/to/output_file.ppm"
}
] |
[
{
"from": "human",
"value": "Store the transparency mask of the input image in the specified file"
},
{
"from": "gpt",
"value": "xpmtoppm [-a|--alphaout] path/to/alpha_file.pbm path/to/input_file.xpm > path/to/output_file.ppm"
}
] |
[
{
"from": "human",
"value": "Capture traffic of all interfaces"
},
{
"from": "gpt",
"value": "ngrep -d any"
}
] |
[
{
"from": "human",
"value": "Capture traffic of a specific interface"
},
{
"from": "gpt",
"value": "ngrep -d eth0"
}
] |
[
{
"from": "human",
"value": "Capture traffic crossing port 22 of interface eth0"
},
{
"from": "gpt",
"value": "ngrep -d eth0 port 22"
}
] |
[
{
"from": "human",
"value": "Capture traffic from or to a host"
},
{
"from": "gpt",
"value": "ngrep host www.example.com"
}
] |
[
{
"from": "human",
"value": "Filter keyword 'User-Agent:' of interface eth0"
},
{
"from": "gpt",
"value": "ngrep -d eth0 'User-Agent:'"
}
] |
[
{
"from": "human",
"value": "Log in interactively"
},
{
"from": "gpt",
"value": "az login"
}
] |
[
{
"from": "human",
"value": "Log in with a service principal using a client secret"
},
{
"from": "gpt",
"value": "az login --service-principal --username http://azure-cli-service-principal --password secret --tenant someone.onmicrosoft.com"
}
] |
[
{
"from": "human",
"value": "Log in with a service principal using a client certificate"
},
{
"from": "gpt",
"value": "az login --service-principal --username http://azure-cli-service-principal --password path/to/cert.pem --tenant someone.onmicrosoft.com"
}
] |
[
{
"from": "human",
"value": "Log in using a VM's system assigned identity"
},
{
"from": "gpt",
"value": "az login --identity"
}
] |
[
{
"from": "human",
"value": "Log in using a VM's user assigned identity"
},
{
"from": "gpt",
"value": "az login --identity --username /subscriptions/subscription_id/resourcegroups/my_rg/providers/Microsoft.ManagedIdentity/userAssignedIdentities/my_id"
}
] |
[
{
"from": "human",
"value": "Add a reference to the project in the current directory"
},
{
"from": "gpt",
"value": "dotnet add reference path/to/reference.csproj"
}
] |
[
{
"from": "human",
"value": "Add multiple references to the project in the current directory"
},
{
"from": "gpt",
"value": "dotnet add reference path/to/reference1.csproj path/to/reference2.csproj ..."
}
] |
[
{
"from": "human",
"value": "Add a reference to the specific project"
},
{
"from": "gpt",
"value": "dotnet add path/to/project.csproj reference path/to/reference.csproj"
}
] |
[
{
"from": "human",
"value": "Add multiple references to the specific project"
},
{
"from": "gpt",
"value": "dotnet add path/to/project.csproj reference path/to/reference1.csproj path/to/reference2.csproj ..."
}
] |
[
{
"from": "human",
"value": "Create the documentation"
},
{
"from": "gpt",
"value": "yard"
}
] |
[
{
"from": "human",
"value": "Create the documentation and save it to one file"
},
{
"from": "gpt",
"value": "yard --one-file"
}
] |
[
{
"from": "human",
"value": "List all undocumented objects"
},
{
"from": "gpt",
"value": "yard stats --list-undoc"
}
] |
[
{
"from": "human",
"value": "Open a compressed file"
},
{
"from": "gpt",
"value": "zmore path/to/file.txt.gz"
}
] |
[
{
"from": "human",
"value": "Display the next page of the file"
},
{
"from": "gpt",
"value": "<Space>"
}
] |
[
{
"from": "human",
"value": "Search for a pattern in the file (press `<n>` to go to next match)"
},
{
"from": "gpt",
"value": "</>regular_expression"
}
] |
[
{
"from": "human",
"value": "Exit"
},
{
"from": "gpt",
"value": "<q>"
}
] |
[
{
"from": "human",
"value": "Display interactive command help"
},
{
"from": "gpt",
"value": "<h>"
}
] |
[
{
"from": "human",
"value": "Remove job number 10"
},
{
"from": "gpt",
"value": "atrm 10"
}
] |
[
{
"from": "human",
"value": "Remove many jobs, separated by spaces"
},
{
"from": "gpt",
"value": "atrm 15 17 22"
}
] |
[
{
"from": "human",
"value": "Generate tags for a single file, and output them to a file named \"tags\" in the current directory, overwriting the file if it exists"
},
{
"from": "gpt",
"value": "ctags path/to/file"
}
] |
[
{
"from": "human",
"value": "Generate tags for all files in the current directory, and output them to a specific file, overwriting the file if it exists"
},
{
"from": "gpt",
"value": "ctags -f path/to/file *"
}
] |
[
{
"from": "human",
"value": "Generate tags for all files in the current directory and all subdirectories"
},
{
"from": "gpt",
"value": "ctags --recurse"
}
] |
[
{
"from": "human",
"value": "Generate tags for a single file, and output them with start line number and end line number in JSON format"
},
{
"from": "gpt",
"value": "ctags --fields=+ne --output-format=json path/to/file"
}
] |
[
{
"from": "human",
"value": "Scale up a PAM image by an integer factor"
},
{
"from": "gpt",
"value": "pamstretch n path/to/image.pam > path/to/output.pam"
}
] |
[
{
"from": "human",
"value": "Scale up a PAM image by the specified factors in the horizontal and vertical directions"
},
{
"from": "gpt",
"value": "pamstretch [-x|-xscale] xn [-y|-yscale] yn path/to/image.pam > path/to/output.pam"
}
] |
[
{
"from": "human",
"value": "Show total blame count"
},
{
"from": "gpt",
"value": "git guilt"
}
] |
[
{
"from": "human",
"value": "Calculate the change in blame between two revisions"
},
{
"from": "gpt",
"value": "git guilt first_revision last_revision"
}
] |
[
{
"from": "human",
"value": "Show author emails instead of names"
},
{
"from": "gpt",
"value": "git guilt --email"
}
] |
[
{
"from": "human",
"value": "Ignore whitespace only changes when attributing blame"
},
{
"from": "gpt",
"value": "git guilt --ignore-whitespace"
}
] |
[
{
"from": "human",
"value": "Find blame delta over the last three weeks"
},
{
"from": "gpt",
"value": "git guilt 'git log --until=\"3 weeks ago\" --format=\"%H\" -n 1'"
}
] |
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