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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

...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():...

averageplot.py

Source:averageplot.py

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

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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