def read_next(self):
self.result = self.cache
self.cache = [
read_csv(file_name_x,
[self.flag, (self.flag + self.range) % self.length]),
read_csv(file_name_y,
[self.flag, (self.flag + self.range) % self.length])
]
return self.result
def test_no_extra_added_offer_status(cursor):
query = r"""
SELECT
status
FROM offer_status
"""
db_data = sql_select(cursor, query)
csv_data = read_csv("offer_status.csv")
# Ensure that the categories in the CSV file and the Postgres DB are the same
assert set(db_data) == set(csv_data)
def test_no_extra_added_category(cursor):
query = r"""
SELECT
id,
name
FROM category
"""
db_data = sql_select(cursor, query)
csv_data = read_csv("categories.csv")
# Ensure that the categories in the CSV file and the Postgres DB are the same
assert set(db_data) == set(csv_data)
db = SQLAlchemy(app)
from app import models
db.init_app(app)
from flask import session
from app.models import Federal_Territory, Party, Constituency, Result, Federal_State
from read_file import read_csv
with app.app_context():
db.drop_all()
db.create_all()
federal_territory = Federal_Territory()
party = Party()
federal_territories = read_csv(federal_territory)
db.session.add(federal_territories)
db.session.commit()
@app.route('/api/federal_states', methods=['GET'])
def federal_states():
data = []
federal_states = Federal_State.query.all()
for fs in federal_states:
data.append({'id': fs.id, 'name': fs.name})
return jsonify({'data': data})
if(existNode != None):
recurseTree(curNode.n2, node, existNode, nodeList, k)
elif(curNode.n2.height < k):
innerList = []
nodeList.append(innerList)
recurseTree(curNode.n2, node, innerList, nodeList, k)
else:
recurseTree(curNode.n2, node, None, nodeList, k)
k = -1
if(len(sys.argv) > 2):
k = float(sys.argv[2])
if(len(sys.argv) == 1 or len(sys.argv) > 3):
print("Usage: py hclustering.py <dataset.csv> [thresh]")
exit()
my_df = rf.read_csv()
#create a dictionary to remember data for points
numToPoint = {}
for i in range(0, len(my_df)):
curRow = my_df.loc[i]
curList = []
for j in range(len(curRow)):
if(curRow.iloc[j] != ' '):
curList.append(curRow.iloc[j])
numToPoint[i] = curList
listNums = list(range(len(my_df)))
minDist = 0
minI = -1
minJ = -1
firstDist = 1
edited = {}