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__":...

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