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How to use test_transactions method in pytest-django

Best Python code snippet using pytest-django_python

split_data_8-1-1_sample_item.py

Source:split_data_8-1-1_sample_item.py

1#!/bin/python2import pandas as pd3import numpy as np4from time import gmtime, strftime567def now():8    return strftime("%Y-%m-%d %H:%M:%S", gmtime())910ratings_train = pd.DataFrame()11ratings_test = pd.DataFrame()12ratings_train_80 = pd.DataFrame()13ratings_test_10 = pd.DataFrame()14test_input = pd.DataFrame()15test_eval = pd.DataFrame()16test_input_10 = pd.DataFrame()17test_eval_10 = pd.DataFrame()1819print now(), 'start clean'20ratings = pd.read_csv('../cleaned_rating.dat', header=None, sep=' ', names=['u', 'i', 'r'])21users = (ratings['u'].unique())22print now(), 'splitting train-test'23for user in users:24    # 90-1025    items = ratings[ratings['u'] == user]['i'].unique()26    items = np.random.permutation(items)27    k = int(round(items.shape[0] * 0.9))28    train_items = items[:k]29    test_items = items[k:]30    ratings_train = ratings_train.append(ratings[(ratings['u'] == user) & (ratings['i'].isin(train_items))])31    test_transactions = ratings[(ratings['u'] == user) & (ratings['i'].isin(test_items))]32    ratings_test = ratings_test.append(test_transactions)33    # splitting test34    n = test_transactions.shape[0]35    k = int(round(n / 2.0))36    test_input = test_input.append(test_transactions.iloc[:k, :])37    test_eval = test_eval.append(test_transactions.iloc[k:, :])38    # 80-10 in 9039    k = int(round((8 / 9.0) * train_items.shape[0]))40    train_items_80 = train_items[:k]41    test_items_10 = train_items[k:]42    ratings_train_80 = ratings_train_80.append(ratings[(ratings['u'] == user) & (ratings['i'].isin(train_items_80))])43    test_transactions = ratings[(ratings['u'] == user) & (ratings['i'].isin(test_items_10))]44    ratings_test_10 = ratings_test_10.append(test_transactions)45    # splitting test46    n = test_transactions.shape[0]47    k = int(round(n / 2.0))48    test_input_10 = test_input_10.append(test_transactions.iloc[:k, :])49    test_eval_10 = test_eval_10.append(test_transactions.iloc[k:, :])5051ratings_train.to_csv('./ratings_train.dat', header=False, sep=' ', index=False)52ratings_train_iuv = ratings_train[['i', 'u', 'r']]53ratings_train_iuv.to_csv('./ratings_train_iuv.dat', header=False, sep=' ', index=False)5455ratings_train_80.to_csv('./ratings_train_80.dat', header=False, sep=' ', index=False)56ratings_train_80_iuv = ratings_train_80[['i', 'u', 'r']]57ratings_train_80_iuv.to_csv('./ratings_train_80_iuv.dat', header=False, sep=' ', index=False)5859test_input = test_input[['u', 'i', 'r']].astype(int)60test_eval = test_eval[['u', 'i', 'r']].astype(int)6162test_input_10 = test_input_10[['u', 'i', 'r']].astype(int)63test_eval_10 = test_eval_10[['u', 'i', 'r']].astype(int)6465test_input.to_csv('./ratings_test_input.dat', header=False, sep=' ', index=False)66test_eval.to_csv('./ratings_test_eval.dat', header=False, sep=' ', index=False)6768test_input_10.to_csv('./ratings_train_input.dat', header=False, sep=' ', index=False)69test_eval_10.to_csv('./ratings_train_eval.dat', header=False, sep=' ', index=False)7071pd.DataFrame(test_eval['u'].unique()).to_csv('./target_users.dat', header=False, sep=' ', index=False)72pd.DataFrame(test_eval_10['u'].unique()).to_csv('./train_target_users.dat', header=False, sep=' ', index=False)
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split_data_6-2-2_sample_item.py

Source:split_data_6-2-2_sample_item.py

1#!/bin/python2import pandas as pd3import numpy as np4from time import gmtime, strftime567def now():8    return strftime("%Y-%m-%d %H:%M:%S", gmtime())910ratings_train = pd.DataFrame()11ratings_test = pd.DataFrame()12ratings_train_80 = pd.DataFrame()13ratings_test_10 = pd.DataFrame()14test_input = pd.DataFrame()15test_eval = pd.DataFrame()16test_input_10 = pd.DataFrame()17test_eval_10 = pd.DataFrame()1819print now(), 'start clean'20ratings = pd.read_csv('../cleaned_rating.dat', header=None, sep=' ', names=['u', 'i', 'r'])21users = (ratings['u'].unique())22print now(), 'splitting train-test'23for user in users:24    # 90-1025    items = ratings[ratings['u'] == user]['i'].unique()26    items = np.random.permutation(items)27    k = int(round(items.shape[0] * 0.8))28    train_items = items[:k]29    test_items = items[k:]30    ratings_train = ratings_train.append(ratings[(ratings['u'] == user) & (ratings['i'].isin(train_items))])31    test_transactions = ratings[(ratings['u'] == user) & (ratings['i'].isin(test_items))]32    ratings_test = ratings_test.append(test_transactions)33    # splitting test34    n = test_transactions.shape[0]35    k = int(round(n / 2.0))36    test_input = test_input.append(test_transactions.iloc[:k, :])37    test_eval = test_eval.append(test_transactions.iloc[k:, :])38    # 80-10 in 9039    k = int(round((6 / 8.0) * train_items.shape[0]))40    train_items_80 = train_items[:k]41    test_items_10 = train_items[k:]42    ratings_train_80 = ratings_train_80.append(ratings[(ratings['u'] == user) & (ratings['i'].isin(train_items_80))])43    test_transactions = ratings[(ratings['u'] == user) & (ratings['i'].isin(test_items_10))]44    ratings_test_10 = ratings_test_10.append(test_transactions)45    # splitting test46    n = test_transactions.shape[0]47    k = int(round(n / 2.0))48    test_input_10 = test_input_10.append(test_transactions.iloc[:k, :])49    test_eval_10 = test_eval_10.append(test_transactions.iloc[k:, :])5051ratings_train.to_csv('./ratings_train.dat', header=False, sep=' ', index=False)52ratings_train_iuv = ratings_train[['i', 'u', 'r']]53ratings_train_iuv.to_csv('./ratings_train_iuv.dat', header=False, sep=' ', index=False)5455ratings_train_80.to_csv('./ratings_train_80.dat', header=False, sep=' ', index=False)56ratings_train_80_iuv = ratings_train_80[['i', 'u', 'r']]57ratings_train_80_iuv.to_csv('./ratings_train_80_iuv.dat', header=False, sep=' ', index=False)5859test_input = test_input[['u', 'i', 'r']].astype(int)60test_eval = test_eval[['u', 'i', 'r']].astype(int)6162test_input_10 = test_input_10[['u', 'i', 'r']].astype(int)63test_eval_10 = test_eval_10[['u', 'i', 'r']].astype(int)6465test_input.to_csv('./ratings_test_input.dat', header=False, sep=' ', index=False)66test_eval.to_csv('./ratings_test_eval.dat', header=False, sep=' ', index=False)6768test_input_10.to_csv('./ratings_train_input.dat', header=False, sep=' ', index=False)69test_eval_10.to_csv('./ratings_train_eval.dat', header=False, sep=' ', index=False)7071pd.DataFrame(test_eval['u'].unique()).to_csv('./target_users.dat', header=False, sep=' ', index=False)72pd.DataFrame(test_eval_10['u'].unique()).to_csv('./train_target_users.dat', header=False, sep=' ', index=False)
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pipelines_test.py

Source:pipelines_test.py

1"""Tests for the Machine Learning Helpers."""2# pylint: disable=missing-docstring3from beancount.parser import parser4from smart_importer.pipelines import AttrGetter5TEST_DATA, _, __ = parser.parse_string(6    """72016-01-01 open Assets:US:BofA:Checking USD82016-01-01 open Expenses:Food:Groceries USD92016-01-01 open Expenses:Food:Coffee USD102016-01-06 * "Farmer Fresh" "Buying groceries"11  Assets:US:BofA:Checking  -10.00 USD122016-01-07 * "Starbucks" "Coffee"13  Assets:US:BofA:Checking  -4.00 USD14  Expenses:Food:Coffee152016-01-07 * "Farmer Fresh" "Groceries"16  Assets:US:BofA:Checking  -11.20 USD17  Expenses:Food:Groceries182016-01-08 * "Gimme Coffee" "Coffee"19  Assets:US:BofA:Checking  -3.50 USD20  Expenses:Food:Coffee21"""22)23TEST_TRANSACTIONS = TEST_DATA[3:]24TEST_TRANSACTION = TEST_TRANSACTIONS[0]25def test_get_payee():26    assert AttrGetter("payee").transform(TEST_TRANSACTIONS) == [27        "Farmer Fresh",28        "Starbucks",29        "Farmer Fresh",30        "Gimme Coffee",31    ]32def test_get_narration():33    assert AttrGetter("narration").transform(TEST_TRANSACTIONS) == [34        "Buying groceries",35        "Coffee",36        "Groceries",37        "Coffee",38    ]39def test_get_metadata():40    txn = TEST_TRANSACTION41    txn.meta["attr"] = "value"42    assert AttrGetter("meta.attr").transform([txn]) == ["value"]43    assert AttrGetter("meta.attr", "default").transform(TEST_TRANSACTIONS) == [44        "value",45        "default",46        "default",47        "default",48    ]49def test_get_day_of_month():...

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