KaneAI - World’s First E2E Software Testing Agent.Book a Demo Join TestMu Conference

How to use test_percentile method in locust

Best Python code snippet using locust

ADSw6FindPercentile.py

Source:ADSw6FindPercentile.py

...73            k -= count_discarded74        else:           # k is in right part75            a_len = i76            b_len = j77def test_percentile(test_arr1, test_arr2, test_p, answer):78    random.seed(int(time.time()))79    percentile_result = find_percentile(test_arr1, test_arr2, test_p)80    error_str = 'Test failed!\nInput: {0}, {1}, {2}\nOutput: {3}\nCorrect output: {4}'81    assert percentile_result == answer, error_str.format(test_arr1, test_arr2, test_p, percentile_result, answer)82def run_unit_test():83    test_percentile([15, 15, 15], [12, 12, 12, 12], 50, 12)84    test_percentile([101, 118, 138, 175], [7, 11, 21, 45, 65], 91, 175)85    test_percentile([1], [], 50, 1)86    test_percentile([], [1], 50, 1)87    test_percentile([1], [0], 50, 0)88    test_percentile([1], [2, 3], 50, 2)89    test_percentile([2, 3], [1], 50, 2)90    test_percentile([], [1, 2, 3], 50, 2)91    test_percentile([1, 2, 7, 8, 10], [6, 12], 50, 7)92    test_percentile([15, 20, 35, 40, 50], [], 30, 20)93    test_percentile([15, 20], [25, 40, 50], 40, 20)94    test_percentile([55], [25, 40, 50], 20, 25)95    test_percentile([15], [25, 40, 50], 5, 15)96    test_percentile([15, 20], [25, 40, 50], 70, 40)97    test_percentile([15, 20, 55], [12, 25, 40, 50], 100, 55)98    test_percentile([15, 20, 55], [12, 25, 40, 50], 1, 12)99    print("Unit tests passed!")100def get_random_test(test_size1, test_size2, max_int1):101    a = []102    b = []103    if test_size1 == 0 and test_size2 == 0:  # don't need to test 0,0104        return [1], [1], 1105    else:106        for i in range(test_size1):107            a.append(random.randint(0, max_int1))108        for i in range(test_size2):109            b.append(random.randint(0, max_int1))110        return sorted(a), sorted(b), random.randint(1, 100)111def partition(arr, l, r):112    x = arr[r]113    i = l114    for j in range(l, r):115        if arr[j] <= x:116            arr[i], arr[j] = arr[j], arr[i]117            i += 1118    arr[i], arr[r] = arr[r], arr[i]119    return i120def kthSmallest(arr, l, r, k):121    if k > 0 and k <= r - l + 1:122        index = partition(arr, l, r)123        if index - l == k - 1:124            return arr[index]125        if index - l > k - 1:126            return kthSmallest(arr, l, index - 1, k)127        return kthSmallest(arr, index + 1, r,128                           k - index + l - 1)129    print("Index out of bound")130def run_stress_test(max_test_size=20, max_attempts=10, max_right_border=10):131    # random.seed(100)132    random.seed(int(time.time()))133    for test_size1 in range(0, max_test_size):134        for test_size2 in range(max_test_size, -1, -1):135            print('test_size = ', test_size1, test_size2)136            for right_border in range(0, max_right_border):137                for attempt in range(max_attempts):138                    a, b, p = get_random_test(test_size1, test_size2, 200)139                    k_float = p / 100 * (len(a) + len(b))  # ordinal rank140                    if k_float.is_integer():141                        k = int(k_float)142                    else:143                        k = math.floor(k_float) + 1144                    test_percentile(a, b, p, kthSmallest(a+b, 0, len(a+b)-1, k))145    print('Stress test passed!')146# Array a len: 1000000 Array b len: 1000000 Max int in both arrays: 42147# find_percentile runs in  0.000995 seconds148def run_max_test():149    # random.seed(100)150    random.seed(int(time.time()))151    a, b, p = get_random_test(1000, 1000, 100000000)152    k_float = p / 100 * (len(a) + len(b))  # ordinal rank153    if k_float.is_integer():154        k = int(k_float)155    else:156        k = math.floor(k_float) + 1157    test_percentile(a, b, p, kthSmallest(a + b, 0, len(a + b) - 1, k))158    print('Max test passed!')159    # measure time160    a, b, p = get_random_test(1000000, 1000000, 100000000)161    print('Array a len:', len(a), 'Array b len:', len(b), 'Max int in both arrays:', p)162    start = time.time()163    answer = find_percentile(a, b, p)164    end = time.time()165    difference = end - start166    print("find_percentile runs % f seconds" % difference)167def main():168    run_unit_test()169    run_stress_test()170    run_max_test()171# some test code...

map_test_student_growth.py

Source:map_test_student_growth.py

1# Copyright (c) 2020, ifitwala and contributors2# For license information, please see license.txt3from __future__ import unicode_literals4import frappe5from frappe import _6def execute(filters=None):7	if not filters:8		filters = {}9	columns = get_columns(filters)10	data = get_data(filters)11	chart = get_chart_data(data)12	return columns, data, None, chart13def get_columns(filters=None):14	columns = [15			{16				"label": _("Test Date"),17				"fieldname": "test_date",18				"fieldtype": "Date",19				"width": 10020			},21			{22				"label": _("Program"),23				"fieldname": "program",24				"fieldtype": "Link",25				"options": "Program",26				"width": 10027			},28			{29				"label": _("Student"),30				"fieldname": "student",31				"fieldtype": "Link",32				"options": "Student",33				"width": 15034			},35			{36				"label": _("Student Name"),37				"fieldname": "student_name",38				"fieldtype": "Data",39				"width": 15040			},41			{42				"label": _("Discipline"),43				"fieldname": "discipline",44				"fieldtype": "Data",45				"width": 15046			},47			{48				"label": _("RIT Score"),49				"fieldname": "test_rit_score",50				"fieldtype": "Data",51				"width": 8052			},53			{54				"label": _("Percentile"),55				"fieldname": "test_percentile",56				"fieldtype": "Data",57				"width": 8058			}59	]60	return columns61def get_data(filters = None):62	data = []63	conditions = get_filter_conditions(filters)64	map_results = frappe.db.sql("""65			SELECT student, student_name, program, test_percentile, test_rit_score, academic_term, test_date, discipline66			FROM `tabMAP Test`67			WHERE68					docstatus = 0 %s69			ORDER BY70					test_date, discipline, test_rit_score""" % (conditions),  as_dict=1)71	for test in map_results:72		data.append({73				'student': test.student,74				'discipline': test.discipline,75				'student_name': test.student_name,76				'program': test.program,77				'test_rit_score': test.test_rit_score,78				'test_percentile': test.test_percentile,79				'test_date': test.test_date,80				'academic_term': test.academic_term81		})82	return data83def get_chart_data(data):84	if not data:85		return None86	labels =  []87	math = []88	reading = []89	language = []90	for entry in data:91		if entry.get("academic_term") not in labels:92			labels.append(entry.get("academic_term"))93		if entry.get("discipline") == "Mathematics":94			math.append(entry.get("test_percentile"))95		if entry.get("discipline") == "Reading":96			reading.append(entry.get("test_percentile"))97		if entry.get("discipline") == "Language":98			language.append(entry.get("test_percentile"))99	return {100		"data": {101			"labels": labels,102			"datasets": [103				{104					"name": _("Math Percentile"),105					"values": math106				},107				{108					"name": _("Reading Percentile"),109					"values": reading110				},111				{112					"name": _("Language Percentile"),113					"values": language114				}115			]116		},117		"type": "line"118	}119def get_filter_conditions(filters):120	conditions = ""121	if filters.get("discipline"):122		conditions += " and discipline = '%s' " % (filters.get("discipline"))123	if filters.get("student"):124		conditions += " and student = '%s' " % (filters.get("student"))...

test_fluorescence.py

Source:test_fluorescence.py

1import unittest2import numpy as np3import pandas as pd4from altFACS.fluorescence  import *5# Define fixings6#Set the random seed to get a reproducible set of pseudorandom data7np.random.seed(1)8# Generate test DataFrame9test_df   = pd.DataFrame()10test_df.loc[:,'FSC-A']    = np.random.normal(0, 1, 1000)11test_df.loc[:,'405nm']    = np.random.normal(0, 1, 1000)12test_df.loc[:,'488nm']    = np.random.normal(0, 1, 1000)13class TestFlourescence(unittest.TestCase):14    15    def test_autothresholdChannel(self):16        17        # Use test_df to generate expected threshold with no kwargs18        threshold_405nm = autothresholdChannel(test_df, '405nm')19        self.assertEqual(threshold_405nm, test_df['405nm'].quantile(0.999), "Threshold should be set at 99.9th percentile .")20        21        # Use test_df to generate expected threshold with percentile kwarg22        test_percentile = 0.523        threshold_405nm = autothresholdChannel(test_df, '405nm', percentile=test_percentile)24        self.assertEqual(threshold_405nm, test_df['405nm'].quantile(test_percentile), "Threshold should be set at 99.9th percentile .")25        26        # Use test_df to generate expected threshold with n_stdevs kwarg27        threshold_405nm = autothresholdChannel(test_df, '405nm', n_stdevs=1)28        self.assertEqual(threshold_405nm, test_df['405nm'].mean() + test_df['405nm'].std(), "Threshold should be set at mean+1*std .")29if __name__ == "__main__":...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.