Python basics of programming

import harpy as hp
import tempfile
from harpy.datasets.registry import get_registry

unit_testing = True
path = None

#The dataset will downloaded from the registry.
#If path is set to None, example data will be downloaded in the default cache folder of your os.
registry = get_registry(path = path)
path_image = registry.fetch(“transcriptomics/resolve/mouse/20272_slide1_A1-1_DAPI.tiff”)
path_coordinates = registry.fetch(“transcriptomics/resolve/mouse/20272_slide1_A1-1_results.txt”)

This is the start of the code of the Harpy pipeline that is used in the spatial training.

Which variable contains a boolean value? Answer the name of the variable.

import harpy as hp
import tempfile
from harpy.datasets.registry import get_registry

unit_testing = True
path = None

#The dataset will downloaded from the registry.
#If path is set to None, example data will be downloaded in the default cache folder of your os.
registry = get_registry(path = path)
path_image = registry.fetch(“transcriptomics/resolve/mouse/20272_slide1_A1-1_DAPI.tiff”)
path_coordinates = registry.fetch(“transcriptomics/resolve/mouse/20272_slide1_A1-1_results.txt”)

This is the start of the code of the Harpy pipeline that is used in the spatial training.

What type is “transcriptomics/resolve/mouse/20272_slide1_A1-1_DAPI.tiff”? Answer the name of the type in Python.

What data type are 0 and 2? Answer the name of the data type in Python. 

import matplotlib.pyplot as plt

plt.figure(figsize=(5,5))
ax = plt.gca()
column = “leiden”
adata = sdata.tables[“table_transcriptomics_clustered”]

cmap = matplotlib.colors.LinearSegmentedColormap.from_list( “new_map”, adata.uns[column + “_colors”], N=len(adata.uns[column + “_colors”]), )
This is code from the Harpy pipeline as shown in the spatial data training.
What will be the result of this piece of code: column + “_colors” ?