def test_programming_project_input_line(self):
Input = 'programmer person-days: 10~12@50usd; analyst person-days: 11~45@45usd; software package: [email protected]'
Result = [{u'programmer person-days':
{'max_units': u'12',
'min_units': u'10',
'price_unit': u'usd',
'f_units': '',
'min_price': u'50',
'f_price': '',
'max_price': u'50'}
},
{u'analyst person-days':
{'max_units': u'45',
'min_units': u'11',
'price_unit': u'usd',
'f_units': '',
'min_price': u'45',
'f_price': '',
'max_price': u'45'}
},
{u'software package':
{'max_units': u'1',
'min_units': u'1',
'price_unit': u'usd',
'f_units': '',
'min_price': u'159.99',
'f_price': '', 'max_price': u'159.99'}}]
self.assertEqual(stepio.parse(Input), Result)
def test_construction_project_output_line(self):
Output = 'complete solar assembly drawings: 0~1; solar cell assemblies: 1~2[exp(x)]@5.5~5.9[beta(2,2)((x-a)/(b-a))]h'
Result = [{u'complete solar assembly drawings':
{'max_units': u'1',
'min_units': u'0',
'price_unit': u'',
'f_units': '',
'min_price': u'',
'f_price': u'',
'max_price': u''}},
{u'solar cell assemblies':
{'max_units': u'2',
'min_units': u'1',
'price_unit': u'h',
'f_units': u'exp(x)',
'min_price': u'5.5',
'f_price': u'beta(2,2)((x-a)/(b-a))',
'max_price': u'5.9'}}]
self.assertEqual(stepio.parse(Output), Result)
from datetime import timedelta
from plandf import settings
import pandas
import copy
# local app?
import stepio
"""Make one DataFrame from a list of StepIO items."""
make_df = lambda l: pandas.DataFrame.from_records([
pandas.Series(data=map(lambda x: x[list(x.keys())[0]], stepio.parse(s)),
index=list(zip(*stepio.parse(s)))[0]) for s in l
])
"""
Examples:
>>> make_df(
['sandwitch: [email protected]',
'scrambled egg servings: [email protected]',
'cup of coffee: [email protected]'])
>>>
cup of coffee sandwitch scrambled egg servings
0 NaN {u'max_units': u'1', u'min_units': u'1'
1 NaN NaN {u'max_units': u'1', u
2 {u'max_units': u'1.5', u'min_units': u'1', u'p... N
"""
def plandf(plan_tuples):
"""
Makes two tables with groups of columns ['input', 'output']
from datetime import timedelta
from . import settings
import pandas
import copy
# local app?
import stepio
"""Make one DataFrame from a list of StepIO items."""
make_df = lambda l: pandas.DataFrame.from_records([
pandas.Series(data=[x[list(x.keys())[0]] for x in stepio.parse(s)],
index=zip(*stepio.parse(s))[0]) for s in l
])
"""
Examples:
>>> make_df(
['sandwitch: [email protected]',
'scrambled egg servings: [email protected]',
'cup of coffee: [email protected]'])
>>>
cup of coffee sandwitch scrambled egg servings
0 NaN {u'max_units': u'1', u'min_units': u'1'
1 NaN NaN {u'max_units': u'1', u
2 {u'max_units': u'1.5', u'min_units': u'1', u'p... N
"""
def plandf(plan_tuples):
"""
Makes two tables with groups of columns ['input', 'output']
from datetime import timedelta
import settings
import pandas
import copy
# local app?
import stepio
"""Make one DataFrame from a list of StepIO items."""
make_df = lambda l: pandas.DataFrame.from_records([
pandas.Series(data=map(lambda x: x[x.keys()[0]],
stepio.parse(s)),
index=zip(*stepio.parse(s))[0])
for s in l])
"""
Examples:
>>> make_df(
['sandwitch: [email protected]',
'scrambled egg servings: [email protected]',
'cup of coffee: [email protected]'])
>>>
cup of coffee sandwitch scrambled egg servings
0 NaN {u'max_units': u'1', u'min_units': u'1'
1 NaN NaN {u'max_units': u'1', u
2 {u'max_units': u'1.5', u'min_units': u'1', u'p... N
"""
def plandf(plan_tuples):
"""
