def problem42():
"""Using words.txt (right click and 'Save Link/Target As...'), a 16K text
file containing nearly two-thousand common English words, how many are
triangle words?"""
dictionary = dict((c, n) for (n, c) in enumerate(string.ascii_uppercase, 1))
words = data.openfile("words.txt").read().replace('"', '').split(",")
return ilen(word for word in words if is_triangle(sum(dictionary[c] for c in word)))
def page():
dataset = openfile('./test/donneeshospitalieres.csv')
data_quotidien = getDataQuotidien(dataset)
moyennes_sexe = getMoyennesParSex(dataset)
return render_template('page.html',
donnees=data_quotidien,
donnees2=moyennes_sexe)
def problem22():
"""What is the total of all the name scores in the file?"""
contents = data.openfile("names.txt").read()
names = sorted(name.strip('"') for name in contents.split(","))
dictionary = dict(
(c, n) for (n, c) in enumerate(string.ascii_uppercase, 1))
return sum(i * sum(dictionary[c] for c in name)
for (i, name) in enumerate(names, 1))
key_idx_length = [tmp_array[0]]
for i in xrange(1,scanned_length):
if scanned_input_data[i] == scanned_input_data[i-1]:
key_idx_length[-1] += tmp_array[i]
else:
key_idx_length.append(tmp_array[i])
#6.2: offset for each key in the whole index
offset = [0 for i in key_idx_length]
for i in xrange(1,len(key_idx_length)):
offset[i] = offset[i-1] + key_idx_length[i-1]
return key_idx_length,offset
'''
if __name__ == '__main__':
path = 'data.txt' #file path
attr_dict,attr_values,attr_value_NO = data.openfile(path)
print attr_dict['worker_class'], attr_value_NO[0]
total_row = len(attr_values[0])
input_data = numpy.array(attr_values[0])
print input_data
length = input_data.shape[0]
rid = numpy.arange(0,length)
#step1 sort
radix_sort.radix_sort(input_data,rid)
print input_data
f1 = open('input_data.txt', 'w')
f1.write(str(list(input_data)))
f2 = open("rid.txt", 'w')
f2.write(str(list(rid)))
key_idx_length = [tmp_array[0]]
for i in xrange(1, scanned_length):
if scanned_input_data[i] == scanned_input_data[i - 1]:
key_idx_length[-1] += tmp_array[i]
else:
key_idx_length.append(tmp_array[i])
#6.2: offset for each key in the whole index
offset = [0 for i in key_idx_length]
for i in xrange(1, len(key_idx_length)):
offset[i] = offset[i - 1] + key_idx_length[i - 1]
return key_idx_length, offset
if __name__ == '__main__':
path = 'data.txt' #file path
attr_dict, attr_values, attr_value_NO = data.openfile(path)
total_row = len(attr_values[0])
input_data = numpy.array(attr_values[0][0:93])
length = input_data.shape[0]
rid = numpy.arange(0, length)
print input_data
#step1 sort
radix_sort.radix_sort(input_data, rid)
print 'rid:\n', rid
literal = numpy.zeros(length, dtype='uint32')
chunk_id = numpy.zeros(length, dtype='int64')
stream = cuda.stream()
d_rid = cuda.to_device(rid, stream)
d_chunk_id = cuda.to_device(chunk_id, stream)
d_literal = cuda.to_device(literal, stream)
#step2 produce chunk_id and literal
def problem22():
"""What is the total of all the name scores in the file?"""
contents = data.openfile("names.txt").read()
names = sorted(name.strip('"') for name in contents.split(","))
dictionary = dict((c, n) for (n, c) in enumerate(string.ascii_uppercase, 1))
return sum(i*sum(dictionary[c] for c in name) for (i, name) in enumerate(names, 1))