Update macOs images for CI (#54)

* Update macOs images for CI

* Format files

azure-pipelines.yaml

@@ -13,10 +13,10 @@ stages:
  strategy:
  matrix:
  mac_38:
- imageName: 'macOS-10.15'
+ imageName: 'macOS-12'
  python.version: '3.8'
  mac_37:
- imageName: 'macOS-10.15'
+ imageName: 'macOS-12'
  python.version: '3.7'
  linux_py38:
  imageName: 'ubuntu-20.04'
@@ -37,7 +37,7 @@ stages:
  echo $(node -v)
  npm install --global yarn
  displayName: 'Install NodeJS and yarn'
- condition: eq(variables['imageName'], 'macOS-10.15')
+ condition: eq(variables['imageName'], 'macOS-12')
 
  - script: |
  sudo apt-get install curl

pybabylonjs/args.py

@@ -55,7 +55,6 @@
 
 
 def check_point_cloud_args(mode, point_cloud_args_in):
-
  if mode == "time":
  raise ValueError("This mode will be implemented soon")
  if mode == "classes":
@@ -89,7 +88,6 @@ def check_point_cloud_args(mode, point_cloud_args_in):
 
 
 def check_point_cloud_data_dict(mode, data):
-
  for var in ["X", "Y", "Z", "Red", "Green", "Blue"]:
  if not var in data:
  raise ValueError("Data dictionary does not contain " + var)
@@ -119,7 +117,6 @@ def check_point_cloud_data_dict(mode, data):
 
 
 def check_point_cloud_data_local(mode, uri, point_cloud_args):
-
  if os.path.isdir(uri) == False:
  raise ValueError("uri: " + uri + " does not exist.")
  if not "bbox" in point_cloud_args:
@@ -131,7 +128,6 @@ def check_point_cloud_data_local(mode, uri, point_cloud_args):
 
 
 def check_point_cloud_data_cloud(streaming, uri, point_cloud_args):
-
  if not "token" in point_cloud_args:
  token = os.getenv("TILEDB_REST_TOKEN")
  if token == None:

pybabylonjs/data.py

@@ -10,7 +10,6 @@
 
 
 def create_point_cloud(mode, array_uri: str, bbox):
-
  if mode == "time":
  attrs = ["Red", "Green", "Blue", "GpsTime"]
  elif mode == "classes":

pybabylonjs/show.py

@@ -89,7 +89,6 @@ def from_dict(
  uri: Optional[str] = None,
  **kwargs,
  ):
-
  source = "dict"
 
  if time:
@@ -150,7 +149,6 @@ def __init__(self):
  self.height = None
 
  def _ipython_display_(self):
-
  kwargs = check_point_cloud_args("default", {})
 
  kwargs["source"] = "dict"