mirror of
https://github.com/wassname/scikit-image.git
synced 2026-06-29 14:56:02 +08:00
Kyle Mandli
72 lines
2.1 KiB
Python
72 lines
2.1 KiB
Python
#!/usr/bin/env python
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import sys
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import os
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import csv
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# Parameters
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missing_string = ":missing:`Not Implemented`"
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page_title = "Coverage Tables"
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table_names = ["Image Display and Exploration","Image File I/O"]
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def table_seperator(cols,lengths,character="-"):
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output = "+"
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output += '+'.join([character*(length+2) for length in lengths])
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output += "+"
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return output
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def table_row(data,lengths,num_columns=None):
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if num_columns is None:
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num_columns = len(data)
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output = "|"
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for i in xrange(num_columns):
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if len(data)-1 >= i:
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entry = data[i]
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else:
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entry = missing_string
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output += " " + entry + " "*(lengths[i] - len(entry)) + " |"
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return output
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def generate_table(reader,column_titles=["Functionality","Matlab","Scipy"]):
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# Find number of columns and column widths, base number of columns is
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# determined by the headers
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num_columns = 3
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data = [column_titles]
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for row in reader:
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if len(row) == 0:
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break
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data.append([entry.expandtabs() for entry in row])
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num_columns = max(num_columns,len(row))
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column_lengths = [len(missing_string)]*num_columns
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for row in data:
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for i in xrange(len(row)):
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column_lengths[i] = max(column_lengths[i],len(row[i]))
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output = table + "\n"
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output += "-"*len(table)+"\n\n"
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output += table_seperator(num_columns,column_lengths,character="-") + "\n"
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output += table_row(data[0],column_lengths,num_columns) + "\n"
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output += table_seperator(num_columns,column_lengths,character="=") + "\n"
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for row in data[1:]:
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output += table_row(row,column_lengths,num_columns) + "\n"
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output += table_seperator(num_columns,column_lengths,character='-') + "\n"
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output += "\n\n"
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return output
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if __name__ == "__main__":
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if len(sys.argv) > 1:
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csv_path = os.path.abspath(sys.argv[1])
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else:
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csv_path = './coverage.csv'
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reader = csv.reader(open(csv_path,'r'),delimiter=',',quotechar='"')
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print page_title
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print "="*len(page_title)
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print
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print ".. role:: missing"
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print
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for table in table_names:
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print generate_table(reader)
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