Test your AI Agents with the all-new Agent to Agent Testing Platform.Learn More

How to use is_less_than_or_equal_to method in assertpy

Best Python code snippet using assertpy_python

filter.py

Source:filter.py

1# coding: utf-82# Copyright (c) 2016, 2020, Oracle and/or its affiliates.  All rights reserved.3# This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license.4from oci.util import formatted_flat_dict, NONE_SENTINEL, value_allowed_none_or_none_sentinel  # noqa: F4015from oci.decorators import init_model_state_from_kwargs6@init_model_state_from_kwargs7class Filter(object):8    """9    Query builder filter action to apply edit to queryString.10    """11    #: A constant which can be used with the operator property of a Filter.12    #: This constant has a value of "CLEAR"13    OPERATOR_CLEAR = "CLEAR"14    #: A constant which can be used with the operator property of a Filter.15    #: This constant has a value of "REPLACE"16    OPERATOR_REPLACE = "REPLACE"17    #: A constant which can be used with the operator property of a Filter.18    #: This constant has a value of "EQUALS"19    OPERATOR_EQUALS = "EQUALS"20    #: A constant which can be used with the operator property of a Filter.21    #: This constant has a value of "NOT_EQUALS"22    OPERATOR_NOT_EQUALS = "NOT_EQUALS"23    #: A constant which can be used with the operator property of a Filter.24    #: This constant has a value of "STARTS_WITH"25    OPERATOR_STARTS_WITH = "STARTS_WITH"26    #: A constant which can be used with the operator property of a Filter.27    #: This constant has a value of "DOES_NOT_START_WITH"28    OPERATOR_DOES_NOT_START_WITH = "DOES_NOT_START_WITH"29    #: A constant which can be used with the operator property of a Filter.30    #: This constant has a value of "ENDS_WITH"31    OPERATOR_ENDS_WITH = "ENDS_WITH"32    #: A constant which can be used with the operator property of a Filter.33    #: This constant has a value of "DOES_NOT_END_WITH"34    OPERATOR_DOES_NOT_END_WITH = "DOES_NOT_END_WITH"35    #: A constant which can be used with the operator property of a Filter.36    #: This constant has a value of "CONTAINS"37    OPERATOR_CONTAINS = "CONTAINS"38    #: A constant which can be used with the operator property of a Filter.39    #: This constant has a value of "DOES_NOT_CONTAIN"40    OPERATOR_DOES_NOT_CONTAIN = "DOES_NOT_CONTAIN"41    #: A constant which can be used with the operator property of a Filter.42    #: This constant has a value of "IS_LESS_THAN"43    OPERATOR_IS_LESS_THAN = "IS_LESS_THAN"44    #: A constant which can be used with the operator property of a Filter.45    #: This constant has a value of "IS_LESS_THAN_OR_EQUAL_TO"46    OPERATOR_IS_LESS_THAN_OR_EQUAL_TO = "IS_LESS_THAN_OR_EQUAL_TO"47    #: A constant which can be used with the operator property of a Filter.48    #: This constant has a value of "IS_GREATER_THAN"49    OPERATOR_IS_GREATER_THAN = "IS_GREATER_THAN"50    #: A constant which can be used with the operator property of a Filter.51    #: This constant has a value of "IS_GREATER_THAN_OR_EQUAL_TO"52    OPERATOR_IS_GREATER_THAN_OR_EQUAL_TO = "IS_GREATER_THAN_OR_EQUAL_TO"53    #: A constant which can be used with the operator property of a Filter.54    #: This constant has a value of "IS_BETWEEN"55    OPERATOR_IS_BETWEEN = "IS_BETWEEN"56    #: A constant which can be used with the operator property of a Filter.57    #: This constant has a value of "IS_NOT_BETWEEN"58    OPERATOR_IS_NOT_BETWEEN = "IS_NOT_BETWEEN"59    #: A constant which can be used with the operator property of a Filter.60    #: This constant has a value of "ADD_SUBQUERY"61    OPERATOR_ADD_SUBQUERY = "ADD_SUBQUERY"62    #: A constant which can be used with the operator property of a Filter.63    #: This constant has a value of "CLEAR_SUBQUERY"64    OPERATOR_CLEAR_SUBQUERY = "CLEAR_SUBQUERY"65    def __init__(self, **kwargs):66        """67        Initializes a new Filter object with values from keyword arguments.68        The following keyword arguments are supported (corresponding to the getters/setters of this class):69        :param field_name:70            The value to assign to the field_name property of this Filter.71        :type field_name: str72        :param values:73            The value to assign to the values property of this Filter.74        :type values: list[object]75        :param operator:76            The value to assign to the operator property of this Filter.77            Allowed values for this property are: "CLEAR", "REPLACE", "EQUALS", "NOT_EQUALS", "STARTS_WITH", "DOES_NOT_START_WITH", "ENDS_WITH", "DOES_NOT_END_WITH", "CONTAINS", "DOES_NOT_CONTAIN", "IS_LESS_THAN", "IS_LESS_THAN_OR_EQUAL_TO", "IS_GREATER_THAN", "IS_GREATER_THAN_OR_EQUAL_TO", "IS_BETWEEN", "IS_NOT_BETWEEN", "ADD_SUBQUERY", "CLEAR_SUBQUERY"78        :type operator: str79        """80        self.swagger_types = {81            'field_name': 'str',82            'values': 'list[object]',83            'operator': 'str'84        }85        self.attribute_map = {86            'field_name': 'fieldName',87            'values': 'values',88            'operator': 'operator'89        }90        self._field_name = None91        self._values = None92        self._operator = None93    @property94    def field_name(self):95        """96        Gets the field_name of this Filter.97        Field filter references when inserting filter into the query string. Field must be a valid logging analytics out-of-the-box field, virtual field calculated in the query or a user defined field.98        :return: The field_name of this Filter.99        :rtype: str100        """101        return self._field_name102    @field_name.setter103    def field_name(self, field_name):104        """105        Sets the field_name of this Filter.106        Field filter references when inserting filter into the query string. Field must be a valid logging analytics out-of-the-box field, virtual field calculated in the query or a user defined field.107        :param field_name: The field_name of this Filter.108        :type: str109        """110        self._field_name = field_name111    @property112    def values(self):113        """114        Gets the values of this Filter.115        Field values that will be inserted into the query string for the specified fieldName. Please note all values should reflect the fields data type otherwise the insert is subject to fail.116        :return: The values of this Filter.117        :rtype: list[object]118        """119        return self._values120    @values.setter121    def values(self, values):122        """123        Sets the values of this Filter.124        Field values that will be inserted into the query string for the specified fieldName. Please note all values should reflect the fields data type otherwise the insert is subject to fail.125        :param values: The values of this Filter.126        :type: list[object]127        """128        self._values = values129    @property130    def operator(self):131        """132        **[Required]** Gets the operator of this Filter.133        Operator to apply when editing the query string.134        Allowed values for this property are: "CLEAR", "REPLACE", "EQUALS", "NOT_EQUALS", "STARTS_WITH", "DOES_NOT_START_WITH", "ENDS_WITH", "DOES_NOT_END_WITH", "CONTAINS", "DOES_NOT_CONTAIN", "IS_LESS_THAN", "IS_LESS_THAN_OR_EQUAL_TO", "IS_GREATER_THAN", "IS_GREATER_THAN_OR_EQUAL_TO", "IS_BETWEEN", "IS_NOT_BETWEEN", "ADD_SUBQUERY", "CLEAR_SUBQUERY"135        :return: The operator of this Filter.136        :rtype: str137        """138        return self._operator139    @operator.setter140    def operator(self, operator):141        """142        Sets the operator of this Filter.143        Operator to apply when editing the query string.144        :param operator: The operator of this Filter.145        :type: str146        """147        allowed_values = ["CLEAR", "REPLACE", "EQUALS", "NOT_EQUALS", "STARTS_WITH", "DOES_NOT_START_WITH", "ENDS_WITH", "DOES_NOT_END_WITH", "CONTAINS", "DOES_NOT_CONTAIN", "IS_LESS_THAN", "IS_LESS_THAN_OR_EQUAL_TO", "IS_GREATER_THAN", "IS_GREATER_THAN_OR_EQUAL_TO", "IS_BETWEEN", "IS_NOT_BETWEEN", "ADD_SUBQUERY", "CLEAR_SUBQUERY"]148        if not value_allowed_none_or_none_sentinel(operator, allowed_values):149            raise ValueError(150                "Invalid value for `operator`, must be None or one of {0}"151                .format(allowed_values)152            )153        self._operator = operator154    def __repr__(self):155        return formatted_flat_dict(self)156    def __eq__(self, other):157        if other is None:158            return False159        return self.__dict__ == other.__dict__160    def __ne__(self, other):...

utils.py

Source:utils.py

1"""2@File: utils.py3@Author: Jared Galloway4This file will include some helpful functions5for the phippery package CLI. The primary6data struct we put counts data into is7So far it includes functions to"8* compile tsv files into a phip dataset9* TODO check phip_dataset attributed10"""11# dependencies12import pandas as pd13import numpy as np14import xarray as xr15import scipy.stats as st16# built-in python317import os18import copy19import itertools20from functools import reduce21def get_all_sample_metadata_factors(ds, feature):22    """23    return a list of all available factors in24    a sample table column25    """26    all_exp = ds.sample_table.loc[:, feature]27    return [x for x in set(all_exp.values) if x == x]28def get_all_peptide_metadata_factors(ds, feature):29    """30    return a list of all available factors in31    a peptide table column32    """33    all_exp = ds.peptide_table.loc[:, feature]34    return [x for x in set(all_exp.values) if x == x]35def iter_sample_groups(ds, groupby):36    """37    returns an iterator yeilding subsets of the provided dataset,38    grouped by an item on the sample metadata coodinate.39    """40    sample_table = ds.sample_table.to_pandas().reset_index()41    for group, group_st in sample_table.groupby(groupby):42        group_ds = ds.loc[dict(sample_id=list(group_st["sample_id"].values))]43        yield group, group_ds44def iter_peptide_groups(ds, groupby):45    """46    returns an iterator yeilding subsets of the provided dataset,47    grouped by an item on the peptide metadata coodinate.48    """49    peptide_table = ds.peptide_table.to_pandas()50    for group, group_st in peptide_table.groupby(groupby):51        group_ds = ds.loc[dict(peptide_id=list(group_st.index.values))]52        yield group, group_ds53# This could be generalized to do some helpful things with the enirchment tables54def id_coordinate_subset(55    ds,56    where,57    table="sample_table",58    is_equal_to=None,59    is_not_equal_to=None,60    is_greater_than=None,61    is_greater_than_or_equal_to=None,62    is_less_than=None,63    is_less_than_or_equal_to=None,64    is_in=None,65    is_valid=None,66):67    """68    a general function to compute the coordinate dimensions given some conditions.69    """70    if table not in ["sample_table", "peptide_table"]:71        raise ValueError(72            f"{table} is not a valid data table for {ds}\n Available data tables are: 'sample_table' or 'peptide_table'"73        )74    if table == "sample_table":75        metadata = "sample_metadata"76        metadata_features = ds[metadata]77        coord = "sample_id"78    else:79        metadata = "peptide_metadata"80        metadata_features = ds[metadata]81        coord = "peptide_id"82    if where not in metadata_features:83        raise ValueError(84            f"{where} is not in the sample metadata\n Available options are: {metadata_features.values}"85        )86    num_kw_args = [87        0 if arg is None else 188        for arg in [89            is_equal_to,90            is_not_equal_to,91            is_greater_than,92            is_greater_than_or_equal_to,93            is_less_than,94            is_less_than_or_equal_to,95            is_in,96            is_valid,97        ]98    ]99    if sum(num_kw_args) != 1:100        raise ValueError(101            "You must provide exactly one of the keyword conditional arguments"102        )103    table = ds[table]104    dim = table.loc[{metadata: where}]105    coordinate_ids = ds[coord]106    if is_equal_to is not None:107        return coordinate_ids[dim == is_equal_to].values108    elif is_not_equal_to is not None:109        return coordinate_ids[dim != is_not_equal_to].values110    elif is_greater_than is not None:111        return coordinate_ids[dim > is_greater_than].values112    elif is_greater_than_or_equal_to is not None:113        return coordinate_ids[dim >= is_greater_than_or_equal_to].values114    elif is_less_than is not None:115        return coordinate_ids[dim < is_less_than].values116    elif is_less_than_or_equal_to is not None:117        return coordinate_ids[dim <= is_less_than_or_equal_to].values118    elif is_in is not None:119        return coordinate_ids[dim.isin(is_in)].values120    else:121        return coordinate_ids[dim == dim].values122def sample_id_coordinate_subset(ds, where, **kwargs):123    return id_coordinate_subset(ds, where, "sample_table", **kwargs)124def peptide_id_coordinate_subset(ds, where, **kwargs):...

test_fixture.py

Source:test_fixture.py

...12        value = self.fixture(int)13        assert_that(value).is_greater_than_or_equal_to(0)14    def test_fixture_should_create_integer_range(self):15        value = self.fixture(int, fixture_range=(10, 20))16        assert_that(value).is_less_than_or_equal_to(20)17        assert_that(value).is_greater_than_or_equal_to(10)18    def test_fixture_should_create_email(self):19        value = self.fixture(Email)20        validate_email(value, check_deliverability=False)21    def test_fixture_should_create_floating_point_number(self):22        value = self.fixture(float)23        assert_that(value).is_greater_than_or_equal_to(0)24        assert_that(value).is_less_than_or_equal_to(1)25    def test_fixture_should_create_floating_point_number_range(self):26        value = self.fixture(float, fixture_range=(5, 10))27        assert_that(value).is_greater_than_or_equal_to(5)28        assert_that(value).is_less_than_or_equal_to(10)29    def test_fixture_should_create_datetime(self):30        value = self.fixture(datetime)31        assert_that(value).is_type_of(datetime)32        assert_that(value.tzinfo).is_equal_to(FixtureTest._utc())33        assert_that(value.year).is_greater_than_or_equal_to(1970)34        assert_that(value.year).is_less_than_or_equal_to(2100)35    def test_fixture_should_create_date(self):36        value = self.fixture(date)37        assert_that(value).is_type_of(date)38        assert_that(value.year).is_greater_than_or_equal_to(1970)39        assert_that(value.year).is_less_than_or_equal_to(2100)40    def test_fixture_return_one_of_values(self):41        value = self.fixture.one_of('one', 'two')42        assert_that(value).is_in('one', 'two')43    @classmethod44    def _utc(cls):45        try:46            from datetime import timezone47        except ImportError:48            import pytz as timezone...

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.