[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
2i2c-org · Nov 13, 2023 · 2eda5c2 · 2eda5c2
1 parent f11b824
commit 2eda5c2
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Showing 5 changed files with 101 additions and 101 deletions.
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
@@ -2,7 +2,6 @@
 
 ## Setting up a dev environment
 
-
 ### Setting up `minikube`
 
 Currently, these instructions only work with [minikube](https://minikube.sigs.k8s.io/docs/start/)
@@ -61,4 +60,4 @@ but can be adapted to work with any other local kubernetes setup.
 
    ```bash
    jupyterhub
-   ```
+   ```
diff --git a/binderhub_config.py b/binderhub_config.py
@@ -1,9 +1,8 @@
-
 c.BinderHub.debug = True
 
 # Just leave the built image in the node, so our hub can launch it
 c.BinderHub.use_registry = False
 
 c.BinderHub.base_url = "/services/binder/"
 
-c.BinderHub.enable_api_only_mode = True
+c.BinderHub.enable_api_only_mode = True
diff --git a/dev-requirements.txt b/dev-requirements.txt
@@ -1,3 +1,3 @@
+git+https://github.com/jupyterhub/binderhub.git@main
 jupyterhub
 jupyterhub-kubespawner
-git+https://github.com/jupyterhub/binderhub.git@main
diff --git a/jupyterhub_config.py b/jupyterhub_config.py
@@ -1,5 +1,6 @@
-import socket
 import os
+import socket
+
 c = get_config()  # noqa
 
 from jupyterhub.auth import DummyAuthenticator
@@ -10,6 +11,7 @@
 # c.DummyAuthenticator.password = "your_password"
 
 from kubespawner.spawner import KubeSpawner
+
 c.JupyterHub.spawner_class = KubeSpawner
 
 c.Spawner.cmd = ["jupyterhub-singleuser"]
@@ -18,13 +20,13 @@
 # the hub to be able to restart without losing user containers
 c.JupyterHub.cleanup_servers = False
 c.JupyterHub.services = [
-   {
-       "name": "binder",
-       "url": "http://localhost:8585",
-       "command": ["python", "-m", "binderhub", "-f", "binderhub_config.py"],
-       # Pass on environment variables required for binderhub to find where the docker image is
-       "environment": os.environ.copy()
-   }
+    {
+        "name": "binder",
+        "url": "http://localhost:8585",
+        "command": ["python", "-m", "binderhub", "-f", "binderhub_config.py"],
+        # Pass on environment variables required for binderhub to find where the docker image is
+        "environment": os.environ.copy(),
+    }
 ]
 
 # Find the IP of the machine that minikube is most likely able to talk to
@@ -37,97 +39,97 @@
 c.JupyterHub.hub_connect_ip = host_ip
 
 from jupyterhub_fancy_profiles import setup_ui
+
 setup_ui(c)
 
 c.KubeSpawner.profile_list = [
-  {
-    "display_name": "Small",
-    "description": "~2 CPU, ~2G RAM",
-    "profile_options": {
-      "image": {
-        "display_name": "Image",
-        "unlisted_choice": {
-          "enabled": True,
-          "display_name": "Custom image",
-          "validation_regex": "^.+:.+$",
-          "validation_message": "Must be a publicly available docker image, of form <image-name>:<tag>",
-          "display_name_in_choices": "Specify an existing docker image",
-          "description_in_choices": "Use a pre-existing docker image from a public docker registry (dockerhub, quay, etc)",
-          "kubespawner_override": {
-            "image": "{value}"
-          }
-        },
-        "choices": {
-          "pangeo": {
-            "display_name": "Pangeo Notebook Image", "description": "Python image with scientific, dask and geospatial tools",
-            "kubespawner_override": {
-              "image": "pangeo/pangeo-notebook:2023.09.11"
-            }
-          },
-          "geospatial": {
-            "display_name": "Rocker Geospatial",
-            "description": "R image with RStudio, the tidyverse & Geospatial tools",
-            "default": True,
-            "slug": "geospatial",
-            "kubespawner_override": {
-              "image": "rocker/binder:4.3",
-              "default_url": "/rstudio",
-              "working_dir": "/home/rstudio",
-            }
-          },
-          "scipy": {
-            "display_name": "Jupyter SciPy Notebook",
-            "slug": "scipy",
-            "kubespawner_override": {
-              "image": "jupyter/scipy-notebook:2023-06-26"
-            }
-          }
-        }
-      },
-      "resources": {
-        "display_name": "Resource Allocation",
-        "choices": {
-          "mem_2_7": {
-            "display_name": "2.7 GB RAM, upto 3.479 CPUs",
-            "description": "Use this for the workshop on 2023 September",
-            "kubespawner_override": {
-              "mem_guarantee": 1024,
-              "mem_limit": 2904451072,
-              "cpu_guarantee": 0.1,
-              "cpu_limit": 3.479,
+    {
+        "display_name": "Small",
+        "description": "~2 CPU, ~2G RAM",
+        "profile_options": {
+            "image": {
+                "display_name": "Image",
+                "unlisted_choice": {
+                    "enabled": True,
+                    "display_name": "Custom image",
+                    "validation_regex": "^.+:.+$",
+                    "validation_message": "Must be a publicly available docker image, of form <image-name>:<tag>",
+                    "display_name_in_choices": "Specify an existing docker image",
+                    "description_in_choices": "Use a pre-existing docker image from a public docker registry (dockerhub, quay, etc)",
+                    "kubespawner_override": {"image": "{value}"},
+                },
+                "choices": {
+                    "pangeo": {
+                        "display_name": "Pangeo Notebook Image",
+                        "description": "Python image with scientific, dask and geospatial tools",
+                        "kubespawner_override": {
+                            "image": "pangeo/pangeo-notebook:2023.09.11"
+                        },
+                    },
+                    "geospatial": {
+                        "display_name": "Rocker Geospatial",
+                        "description": "R image with RStudio, the tidyverse & Geospatial tools",
+                        "default": True,
+                        "slug": "geospatial",
+                        "kubespawner_override": {
+                            "image": "rocker/binder:4.3",
+                            "default_url": "/rstudio",
+                            "working_dir": "/home/rstudio",
+                        },
+                    },
+                    "scipy": {
+                        "display_name": "Jupyter SciPy Notebook",
+                        "slug": "scipy",
+                        "kubespawner_override": {
+                            "image": "jupyter/scipy-notebook:2023-06-26"
+                        },
+                    },
+                },
             },
-            "default": True
-          },
-          "mem_5_4": {
-            "display_name": "5.4 GB RAM, upto 3.479 CPUs",
-            "kubespawner_override": {
-              "mem_guarantee":1024,
-              "mem_limit": 5808902144,
-              "cpu_guarantee": 0.1,
-              "cpu_limit": 3.479,
-            }
-          },
-          "mem_10_8": {
-            "display_name": "10.8 GB RAM, upto 3.479 CPUs",
-            "kubespawner_override": {
-              "mem_guarantee": 1024,
-              "mem_limit": 11617804288,
-              "cpu_guarantee": 0.1,
-              "cpu_limit": 3.479,
-            }
-          },
-          "mem_21_6": {
-            "display_name": "21.6 GB RAM, upto 3.479 CPUs",
-            "description": "Large amount of RAM, might start slowly",
-            "kubespawner_override": {
-              "mem_guarantee": 1024,
-              "mem_limit": 23235608576,
-              "cpu_guarantee": 0.1,
-              "cpu_limit": 3.479
+            "resources": {
+                "display_name": "Resource Allocation",
+                "choices": {
+                    "mem_2_7": {
+                        "display_name": "2.7 GB RAM, upto 3.479 CPUs",
+                        "description": "Use this for the workshop on 2023 September",
+                        "kubespawner_override": {
+                            "mem_guarantee": 1024,
+                            "mem_limit": 2904451072,
+                            "cpu_guarantee": 0.1,
+                            "cpu_limit": 3.479,
+                        },
+                        "default": True,
+                    },
+                    "mem_5_4": {
+                        "display_name": "5.4 GB RAM, upto 3.479 CPUs",
+                        "kubespawner_override": {
+                            "mem_guarantee": 1024,
+                            "mem_limit": 5808902144,
+                            "cpu_guarantee": 0.1,
+                            "cpu_limit": 3.479,
+                        },
+                    },
+                    "mem_10_8": {
+                        "display_name": "10.8 GB RAM, upto 3.479 CPUs",
+                        "kubespawner_override": {
+                            "mem_guarantee": 1024,
+                            "mem_limit": 11617804288,
+                            "cpu_guarantee": 0.1,
+                            "cpu_limit": 3.479,
+                        },
+                    },
+                    "mem_21_6": {
+                        "display_name": "21.6 GB RAM, upto 3.479 CPUs",
+                        "description": "Large amount of RAM, might start slowly",
+                        "kubespawner_override": {
+                            "mem_guarantee": 1024,
+                            "mem_limit": 23235608576,
+                            "cpu_guarantee": 0.1,
+                            "cpu_limit": 3.479,
+                        },
+                    },
+                },
             },
-          }
-        }
-      }
+        },
     }
-  }
 ]
diff --git a/pyproject.toml b/pyproject.toml
@@ -18,4 +18,4 @@ classifiers = [
 ]
 
 [tool.setuptools_scm]
-version_file = "jupyterhub_fancy_profiles/_version.py"
+version_file = "jupyterhub_fancy_profiles/_version.py"