How to use lazy_function method in lettuce_webdriver

Best Python code snippet using lettuce_webdriver_python

test_lazy_function.py

Source:test_lazy_function.py Github

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...9 assert isinstance(f(1, 2), thunk)10def test_not_decorator():11 def g(a, b):12 return a - b13 g = lazy_function(g)14 assert isinstance(g(1, 2), thunk)15def test_lazy_call():16 called = False17 @lazy_function18 def g():19 nonlocal called20 called = True21 result = g()22 assert not called23 strict(result)24 assert called25def test_is():26 @lazy_function27 def g():28 return 1 is 129 a = g()30 assert isinstance(a, thunk)31 assert strict(a)32 @lazy_function33 def h(a):34 return a is None35 b = h(None)36 assert isinstance(b, thunk)37 assert strict(b)38 c = h('not none')39 assert isinstance(c, thunk)40 assert not strict(c)41def test_not():42 @lazy_function43 def g():44 return not 145 a = g()46 assert isinstance(a, thunk)47 assert not strict(a)48 @lazy_function49 def h(a):50 return not a51 b = h(False)52 assert isinstance(b, thunk)53 assert strict(b)54 c = h(True)55 assert isinstance(c, thunk)56 assert not strict(c)57@pytest.mark.parametrize('f,val', (58 (lambda: 1, 1),59 (lambda: 'a', 'a'),60 (lambda: (1, 2), (1, 2)),61 (lambda: b'a', b'a'),62))63def test_const(f, val):64 f = strict(lazy_function(f))65 assert isinstance(f(), thunk)66 assert f() == val67def test_dict_literal():68 @strict69 @lazy_function70 def f():71 return {'a': 1, 'b': 2}72 assert isinstance(f(), thunk)73 assert f() == {'a': 1, 'b': 2}74 assert isinstance(f()['a'], thunk)75def test_dict_comprehension():76 @strict77 @lazy_function78 def f():...

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averageplot.py

Source:averageplot.py Github

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1import csv2from collections import Counter 3from heapq import nlargest4import numpy as np5import matplotlib.pyplot as plt67########## Should scrub empty keys in dictionary, even nested dictionaries... Which this turns into after sorting8def tlc_scrub(noluv):9 if type(noluv) is dict:10 return dict((lefteye, tlc_scrub(kandi)) for lefteye, kandi in noluv.items() if kandi and tlc_scrub(kandi))11 else:12 return noluv1314keys = []15values = []16############################################################ Main Function to extrapolate the frequency of the items inside columns17def average_fighter(index):1819 record_words = []20 with open('stats.csv', 'r') as csvfile:21 reader = csv.reader(csvfile)22 next_reader = next(reader)23 col_name = next_reader[index]24 print('\n--------------------------\nSorted Freq for Top ' + col_name + ':\n--------------------------')25 for row in reader:26 csv_words = row[index].split(" ")27 for i in csv_words:28 record_words.append(i)2930 avglist_record = []31 for i in record_words:32 x = record_words.count(i)33 avglist_record.append((i,x))3435 36 averages_unique_record = dict(set(avglist_record)) # cast it as a dictionary to use .get() method37 def cleaningcrew(diction):38 return {39 k: v40 for k, v in averages_unique_record.items()41 if v is not None42 }43 aur_empty = cleaningcrew(averages_unique_record)44 items = aur_empty.items()45 for item in items:46 keys.append(item[0])47 values.append(item[1])4849 # aur = sorted(averages_unique_record, key=averages_unique_record.get, reverse=True)50 51 aur_scrubed = tlc_scrub(averages_unique_record)52 aur = nlargest(5, aur_scrubed, key = aur_scrubed.get) 5354 for val in aur:55 print(val, ":", averages_unique_record.get(val)) 5657############################################################ 5859def statcomp(x):60 average_fighter(x)6162############################################################ Because I'm Lazy 63# lazy_function = 36465# while lazy_function <= 15:66# average_fighter(lazy_function)67# lazy_function += 168# if lazy_function == 16:69# print('\n--------------------------\nAll Top Stats Defined.')7071############################################################ 72# ['cap-date', 'name', 'record', 'height', 'weight', 'reach', 'stance', 'dob', 73# 0 1 2 3 4 5 6 7 74#'slpm', 'stracc', 'sapm', 'strdef', 'tdavg', 'tdacc', 'tddef', 'subavg', '']75# 8 9 10 11 12 13 14 1576############################################################ 77 ...

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averagesHalo.py

Source:averagesHalo.py Github

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123import csv4from collections import Counter 5from heapq import nlargest6from halo import Halo78spinner = Halo(text='Loading', text_color='white', spinner='pong')9spinner.start()1011########## Should scrub empty keys in dictionary, even nested dictionaries... Which this turns into after sorting12def tlc_scrub(noluv):13 if type(noluv) is dict:14 return dict((lefteye, tlc_scrub(kandi)) for lefteye, kandi in noluv.items() if kandi and tlc_scrub(kandi))15 else:16 return noluv1718############################################################ Main Function to extrapolate the frequency of the items inside columns19def average_fighter(index):20 record_words = []21 with open('purestats2.csv', 'r') as csvfile:22 reader = csv.reader(csvfile)23 next_reader = next(reader)24 col_name = next_reader[index]25 print('\n--------------------------\nSorted Freq for Top ' + col_name + ':\n--------------------------')26 for row in reader:27 csv_words = row[index].split(" ")28 for i in csv_words:29 record_words.append(i)3031 avglist_record = []32 for i in record_words:33 x = record_words.count(i)34 avglist_record.append((i,x))3536 averages_unique_record = dict(set(avglist_record)) # cast it as a dictionary to use .get() method37 # aur = sorted(averages_unique_record, key=averages_unique_record.get, reverse=True)38 aur_scrubed = tlc_scrub(averages_unique_record)39 aur = nlargest(5, aur_scrubed, key = aur_scrubed.get) 4041 for val in aur:42 spinner.clear()43 print(val, ":", averages_unique_record.get(val)) 4445############################################################ Because I'm Lazy 46lazy_function = 34748while lazy_function <= 15:49 average_fighter(lazy_function)50 lazy_function += 151 if lazy_function == 16:52 print('\n--------------------------\nAll Top Stats Defined.')53 ...

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