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How to use setattr method in hypothesis

Best Python code snippet using hypothesis

irsg_querygen.py

Source:irsg_querygen.py

...19    words = query_str.split()20    if len(words) != 3: return None21    22    sub_struct = siom.mat_struct()23    sub_struct.__setattr__('names', words[0])24    25    obj_struct = siom.mat_struct()26    obj_struct.__setattr__('names', words[2])27    28    rel_struct = siom.mat_struct()29    rel_struct.__setattr__('subject', 0)30    rel_struct.__setattr__('predicate', words[1])31    rel_struct.__setattr__('object', 1)32    33    det_list = np.array([sub_struct, obj_struct], dtype=np.object)34    query_struct = siom.mat_struct()35    query_struct.__setattr__('objects', det_list)36    query_struct.__setattr__('unary_triples', np.array([]))37    query_struct.__setattr__('binary_triples', rel_struct)38    39    return query_struct40def gen_asro(query_str):41    words = query_str.split()42    if len(words) != 4: return None43    44    sub_attr_struct = siom.mat_struct()45    sub_attr_struct.__setattr__('subject', 0)46    sub_attr_struct.__setattr__('predicate', 'is')47    sub_attr_struct.__setattr__('object', words[0])48    49    query_struct = gen_sro(' '.join([words[1], words[2], words[3]]))50    query_struct.__setattr__('unary_triples', sub_attr_struct)51    52    return query_struct53def gen_srao(query_str):54    words = query_str.split()55    if len(words) != 4: return None56    57    obj_attr_struct = siom.mat_struct()58    obj_attr_struct.__setattr__('subject', 1)59    obj_attr_struct.__setattr__('predicate', 'is')60    obj_attr_struct.__setattr__('object', words[2])61    62    query_struct = gen_sro(' '.join([words[0], words[1], words[3]]))63    query_struct.__setattr__('unary_triples', obj_attr_struct)64    65    return query_struct66def gen_asrao(query_str):67    words = query_str.split()68    if len(words) != 5: return None69    70    obj_attr_struct = siom.mat_struct()71    obj_attr_struct.__setattr__('subject', 1)72    obj_attr_struct.__setattr__('predicate', 'is')73    obj_attr_struct.__setattr__('object', words[3])74    75    query_struct = gen_asro(' '.join([words[0], words[1], words[2], words[4]]))76    query_struct.__setattr__('unary_triples', obj_attr_struct)77    78    return query_struct79"""80    dog_walker holding leash attached_to dog81    ob1        rel1    ob2   rel2        ob382"""83def gen_two_rel_chain(query_str):84    words = query_str.split()85    if len(words) != 5: return None86    87    # generate the object list88    ob1_struct = siom.mat_struct()89    ob1_struct.__setattr__('names', words[0])90    91    ob2_struct = siom.mat_struct()92    ob2_struct.__setattr__('names', words[2])93    94    ob3_struct = siom.mat_struct()95    ob3_struct.__setattr__('names', words[4])96    97    ob_list = np.array([ob1_struct, ob2_struct, ob3_struct])98    99    # generate the first relation100    rel1_struct = siom.mat_struct()101    rel1_struct.__setattr__('subject', 0)102    rel1_struct.__setattr__('predicate', words[1])103    rel1_struct.__setattr__('object', 1)104    105    #rel1_objs = np.array([ob1_struct, ob2_struct], dtype=np.object)106    107    # generate the second relation108    rel2_struct = siom.mat_struct()109    rel2_struct.__setattr__('subject', 1)110    rel2_struct.__setattr__('predicate', words[3])111    rel2_struct.__setattr__('object', 2)112    113    #rel2_objs = np.array([ob2_struct, ob3_struct], dtype=np.object)114    115    # store the objects and relations116    rel_list = np.array([rel1_struct, rel2_struct])117    118    query_struct = siom.mat_struct()119    query_struct.__setattr__('objects', ob_list)120    query_struct.__setattr__('unary_triples', np.array([]))121    query_struct.__setattr__('binary_triples', rel_list)122    123    return query_struct124"""125    0          1       2     3           4   5    6126    dog_walker holding leash attached_to dog near dog_walker127    ob1        rel1    ob2   rel2        ob3 rel3 ob1128    129    expects this exact order of objects and relationships130"""131def gen_three_obj_loop(query_str):132    words = query_str.split()133    134    if len(words) != 7: return None135    if words[0] != words[6]: return None136    137    # generate the object list138    ob1_struct = siom.mat_struct()139    ob1_struct.__setattr__('names', words[0])140    141    ob2_struct = siom.mat_struct()142    ob2_struct.__setattr__('names', words[2])143    144    ob3_struct = siom.mat_struct()145    ob3_struct.__setattr__('names', words[4])146    147    ob_list = np.array([ob1_struct, ob2_struct, ob3_struct])148    149    # generate the first relation150    rel1_struct = siom.mat_struct()151    rel1_struct.__setattr__('subject', 0)152    rel1_struct.__setattr__('predicate', words[1])153    rel1_struct.__setattr__('object', 1)154    155    # generate the second relation156    rel2_struct = siom.mat_struct()157    rel2_struct.__setattr__('subject', 1)158    rel2_struct.__setattr__('predicate', words[3])159    rel2_struct.__setattr__('object', 2)160    161    # generate the third relation162    rel3_struct = siom.mat_struct()163    rel3_struct.__setattr__('subject', 2)164    rel3_struct.__setattr__('predicate', words[5])165    rel3_struct.__setattr__('object', 0)166    # store the objects and relations167    rel_list = np.array([rel1_struct, rel2_struct, rel3_struct])168    169    query_struct = siom.mat_struct()170    query_struct.__setattr__('objects', ob_list)171    query_struct.__setattr__('unary_triples', np.array([]))172    query_struct.__setattr__('binary_triples', rel_list)173    174    return query_struct175"""176    obj1, obj2, ... , objN; 1 relationship_str 2, ... , x relationship_str y177    178    player, player, table, net; 1 playing_pingpong_with 2, 1 at 3, 2 at 3, 4 on 3179"""180def gen_split_spec(query_str):181    object_rel_split = query_str.split(';')182    objects = object_rel_split[0]183    relationships = object_rel_split[1]184    185    obj_nodes = []186    for obj in objects.split(','):187        obj_mat_struct = siom.mat_struct()188        obj_mat_struct.__setattr__('names', obj.strip())189        obj_nodes.append(obj_mat_struct)190    191    ob_list = np.array(obj_nodes)192    193    rel_nodes = []194    for three_part_rel in relationships.split(','):195        rel_components = three_part_rel.strip().split(' ')196        rel_struct = siom.mat_struct()197        rel_struct.__setattr__('subject', int(rel_components[0].strip()))198        rel_struct.__setattr__('predicate', rel_components[1].strip())199        rel_struct.__setattr__('object', int(rel_components[2].strip()))200        rel_nodes.append(rel_struct)201    202    rel_list = np.array(rel_nodes)203    204    query_struct = siom.mat_struct()205    query_struct.__setattr__('objects', ob_list)206    query_struct.__setattr__('unary_triples', np.array([]))207    query_struct.__setattr__('binary_triples', rel_list)208    209    return query_struct210querygen_fns = {211    'sro': gen_sro,212    'asro' : gen_asro,213    'srao': gen_srao,214    'asrao' : gen_asrao,215    'two_rel_chain' : gen_two_rel_chain, # e.g. dog_walker holding leash attached_to dog216    'two_rel_loop' : gen_three_obj_loop, # e.g. dog_walker holding leash attached_to dog near dog_walker217    'split_spec' : gen_split_spec # e.g. dog_walker, dog; 1 walking 2...

metrics.py

Source:metrics.py

...53    key_for_send_to_dynatrace: Text54    def __init__(self, **kwargs):55        key = kwargs.get("key", "")56        value = kwargs.get("value", "").replace("label:", "")57        object.__setattr__(self, "key_for_get_func_create_entity_id", value)58        object.__setattr__(self, "key_for_create_entity_id", (value.replace("resource.labels.", "") or key))59        object.__setattr__(self, "key_for_fetch_metric", value or f'metric.labels.{key}')60        object.__setattr__(self, "key_for_send_to_dynatrace", key) # or 'resource|metric.labels.{key}' from response used by lib.metric_ingest.create_dimensions will use last part of source/value, as this is how this worked before - no breaking changes allowed61@dataclass(frozen=True)62class Metric:63    """Represents singular metric to be ingested."""64    name: str65    google_metric: Text66    google_metric_kind: Text67    dynatrace_name: Text68    dynatrace_metric_type: Text69    unit: Text70    dimensions: List[Dimension]71    ingest_delay: timedelta72    sample_period_seconds: timedelta73    value_type: str74    metric_type: str75    def __init__(self, **kwargs):76        gcp_options = kwargs.get("gcpOptions", {})77        object.__setattr__(self, "name", kwargs.get("name", ""))78        object.__setattr__(self, "metric_type", kwargs.get("type", ""))79        object.__setattr__(self, "google_metric", kwargs.get("value", "").replace("metric:", ""))80        object.__setattr__(self, "google_metric_kind", gcp_options.get("metricKind", ""))81        object.__setattr__(self, "dynatrace_name", kwargs.get("key", "").replace(":", "."))82        object.__setattr__(self, "dynatrace_metric_type", kwargs.get("type", ""))83        object.__setattr__(self, "unit", kwargs.get("gcpOptions", {}).get("unit", None))84        object.__setattr__(self, "value_type", gcp_options.get("valueType", ""))85        object.__setattr__(self, "dimensions", [Dimension(**x) for x in kwargs.get("dimensions", {})])86        ingest_delay = kwargs.get("gcpOptions", {}).get("ingestDelay", None)87        if ingest_delay:88            object.__setattr__(self, "ingest_delay", timedelta(seconds=ingest_delay))89        else:90            object.__setattr__(self, "ingest_delay", timedelta(seconds=60))91        sps = kwargs.get("gcpOptions", {}).get("samplePeriod", None)92        if sps:93            object.__setattr__(self, "sample_period_seconds", timedelta(seconds=sps))94        else:95            object.__setattr__(self, "sample_period_seconds", timedelta(seconds=60))96@dataclass(frozen=True)97class GCPService:98    """Describes singular GCP service to ingest data from."""99    name: Text100    technology_name: Text101    feature_set: Text102    dimensions: List[Dimension]103    metrics = List[Metric]104    monitoring_filter: Text105    activation: Dict[Text, Any]106    def __init__(self, **kwargs):107        object.__setattr__(self, "name", kwargs.get("service", ""))108        object.__setattr__(self, "feature_set", kwargs.get("featureSet", ""))109        object.__setattr__(self, "technology_name", kwargs.get("tech_name", "N/A"))110        object.__setattr__(self, "dimensions", [Dimension(**x) for x in kwargs.get("dimensions", {})])111        object.__setattr__(self, "metrics", [112            Metric(**x)113            for x114            in kwargs.get("metrics", {})115            if x.get("gcpOptions", {}).get("valueType", "").upper() != "STRING"116        ])117        object.__setattr__(self, "activation", kwargs.get("activation", {}))118        monitoring_filter = kwargs.get("gcpMonitoringFilter", "")119        if self.activation:120            for var_key, var_value in (self.activation.get("vars", {}) or {}).items():121                monitoring_filter = monitoring_filter.replace(f'{{{var_key}}}', var_value)\122                    .replace(f'var:{var_key}', var_value)123        # remove not matched variables124        monitoring_filter = VARIABLE_BRACKETS_PATTERN.sub('', monitoring_filter)125        monitoring_filter = VARIABLE_VAR_PATTERN.sub('', monitoring_filter)126        object.__setattr__(self, "monitoring_filter", monitoring_filter)127DISTRIBUTION_VALUE_KEY = 'distributionValue'128BOOL_VALUE_KEY = 'boolValue'129DOUBLE_VALUE_KEY = 'doubleValue'130INT_VALUE_KEY = 'int64Value'131TYPED_VALUE_KEY_MAPPING = {132    'INT64': INT_VALUE_KEY,133    'DOUBLE': DOUBLE_VALUE_KEY,134    'BOOL': BOOL_VALUE_KEY,135    'DISTRIBUTION': DISTRIBUTION_VALUE_KEY...

cpp_bindings_raises_exception_test.py

Source:cpp_bindings_raises_exception_test.py

1# Copyright (C) 2018 ycmd contributors2#3# This file is part of ycmd.4#5# ycmd is free software: you can redistribute it and/or modify6# it under the terms of the GNU General Public License as published by7# the Free Software Foundation, either version 3 of the License, or8# (at your option) any later version.9#10# ycmd is distributed in the hope that it will be useful,11# but WITHOUT ANY WARRANTY; without even the implied warranty of12# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the13# GNU General Public License for more details.14#15# You should have received a copy of the GNU General Public License16# along with ycmd.  If not, see <http://www.gnu.org/licenses/>.17from __future__ import unicode_literals18from __future__ import print_function19from __future__ import division20from __future__ import absolute_import21# Not installing aliases from python-future; it's unreliable and slow.22from builtins import *  # noqaimport ycm_core23from ycmd.tests.test_utils import ClangOnly24from hamcrest import assert_that, calling, raises25import ycm_core26READONLY_MESSAGE = 'can\'t set attribute'27@ClangOnly28def CppBindings_ReadOnly_test():29  assert_that( calling( ycm_core.CompletionData().__setattr__ )30                 .with_args( 'kind_', ycm_core.CompletionData().kind_ ),31               raises( AttributeError, READONLY_MESSAGE ) )32  assert_that( calling( ycm_core.Location().__setattr__ )33                 .with_args( 'line_number_', 1 ),34               raises( AttributeError, READONLY_MESSAGE ) )35  assert_that( calling( ycm_core.Location().__setattr__ )36                 .with_args( 'column_number_', 1 ),37               raises( AttributeError, READONLY_MESSAGE ) )38  assert_that( calling( ycm_core.Location().__setattr__ )39                 .with_args( 'filename_', 'foo' ),40               raises( AttributeError, READONLY_MESSAGE ) )41  assert_that( calling( ycm_core.Range().__setattr__ )42                 .with_args( 'end_', ycm_core.Range().end_ ),43               raises( AttributeError, READONLY_MESSAGE ) )44  assert_that( calling( ycm_core.Range().__setattr__ )45                 .with_args( 'start_', ycm_core.Range().start_ ),46               raises( AttributeError, READONLY_MESSAGE ) )47  assert_that( calling( ycm_core.FixItChunk().__setattr__ )48                 .with_args( 'range', ycm_core.FixItChunk().range ),49               raises( AttributeError, READONLY_MESSAGE ) )50  assert_that( calling( ycm_core.FixItChunk().__setattr__ )51                 .with_args( 'replacement_text', 'foo' ),52               raises( AttributeError, READONLY_MESSAGE ) )53  assert_that( calling( ycm_core.FixIt().__setattr__ )54                 .with_args( 'chunks', ycm_core.FixIt().chunks ),55               raises( AttributeError, READONLY_MESSAGE ) )56  assert_that( calling( ycm_core.FixIt().__setattr__ )57                 .with_args( 'location', ycm_core.FixIt().location ),58               raises( AttributeError, READONLY_MESSAGE ) )59  assert_that( calling( ycm_core.FixIt().__setattr__ )60                 .with_args( 'text', 'foo' ),61               raises( AttributeError, READONLY_MESSAGE ) )62  assert_that( calling( ycm_core.Diagnostic().__setattr__ )63                 .with_args( 'ranges_', ycm_core.Diagnostic().ranges_ ),64               raises( AttributeError, READONLY_MESSAGE ) )65  assert_that( calling( ycm_core.Diagnostic().__setattr__ )66                 .with_args( 'location_', ycm_core.Diagnostic().location_ ),67               raises( AttributeError, READONLY_MESSAGE ) )68  assert_that( calling( ycm_core.Diagnostic().__setattr__ )69                 .with_args( 'location_extent_',70                             ycm_core.Diagnostic().location_extent_ ),71               raises( AttributeError, READONLY_MESSAGE ) )72  assert_that( calling( ycm_core.Diagnostic().__setattr__ )73                 .with_args( 'fixits_', ycm_core.Diagnostic().fixits_ ),74               raises( AttributeError, READONLY_MESSAGE ) )75  assert_that( calling( ycm_core.Diagnostic().__setattr__ )76                 .with_args( 'text_', 'foo' ),77               raises( AttributeError, READONLY_MESSAGE ) )78  assert_that( calling( ycm_core.Diagnostic().__setattr__ )79                 .with_args( 'long_formatted_text_', 'foo' ),80               raises( AttributeError, READONLY_MESSAGE ) )81  assert_that( calling( ycm_core.Diagnostic().__setattr__ )82                 .with_args( 'kind_', ycm_core.Diagnostic().kind_.WARNING ),83               raises( AttributeError, READONLY_MESSAGE ) )84  assert_that( calling( ycm_core.DocumentationData().__setattr__ )85                 .with_args( 'raw_comment', 'foo' ),86               raises( AttributeError, READONLY_MESSAGE ) )87  assert_that( calling( ycm_core.DocumentationData().__setattr__ )88                 .with_args( 'brief_comment', 'foo' ),89               raises( AttributeError, READONLY_MESSAGE ) )90  assert_that( calling( ycm_core.DocumentationData().__setattr__ )91                 .with_args( 'canonical_type', 'foo' ),92               raises( AttributeError, READONLY_MESSAGE ) )93  assert_that( calling( ycm_core.DocumentationData().__setattr__ )94                 .with_args( 'display_name', 'foo' ),95               raises( AttributeError, READONLY_MESSAGE ) )96  assert_that( calling( ycm_core.DocumentationData().__setattr__ )97                 .with_args( 'comment_xml', 'foo' ),98               raises( AttributeError, READONLY_MESSAGE ) )99  db = ycm_core.CompilationDatabase( 'foo' )100  assert_that( calling( db.__setattr__ )101                 .with_args( 'database_directory', 'foo' ),102               raises( AttributeError, READONLY_MESSAGE ) )103  compilation_info = db.GetCompilationInfoForFile( 'foo.c' )104  assert_that( calling( compilation_info.__setattr__ )105                 .with_args( 'compiler_working_dir_', 'foo' ),106               raises( AttributeError, READONLY_MESSAGE ) )107  assert_that( calling( compilation_info.__setattr__ )108                 .with_args( 'compiler_flags_', ycm_core.StringVector() ),109               raises( AttributeError, READONLY_MESSAGE ) )110@ClangOnly111def CppBindings_CompilationInfo_NoInit_test():112  assert_that( calling( ycm_core.CompilationInfoForFile ),113      raises( TypeError, 'ycm_core.CompilationInfoForFile:'...

approx.py

Source:approx.py

2import numpy as np3from general.utility.base_classes import FrozenClass4class Approx(FrozenClass):5    def __init__(self, T, xdim, udim):6        object.__setattr__(self, 'T', T)7        object.__setattr__(self, 'xdim', xdim)8        object.__setattr__(self, 'udim', udim)9        pass10    def set(self, **kwargs):11        pass12    def set_t(self, t, **kwargs):13        pass14class CostApprox(Approx):15    def __init__(self, T, xdim, udim):16        Approx.__init__(self, T, xdim, udim)17        object.__setattr__(self, 'J',   0)18        object.__setattr__(self, 'l',   np.zeros((T,)))19        object.__setattr__(self, 'lx',  np.zeros((T, xdim)))20        object.__setattr__(self, 'lu',  np.zeros((T, udim)))21        object.__setattr__(self, 'lxx', np.zeros((T, xdim, xdim)))22        object.__setattr__(self, 'luu', np.zeros((T, udim, udim)))23        object.__setattr__(self, 'lux', np.zeros((T, udim, xdim)))24    def set_t(self, t, **kwargs):25        self.l[t] = kwargs.pop('l')26        self.lx[t] = kwargs.pop('lx')27        self.lu[t] = kwargs.pop('lu')28        self.lxx[t] = kwargs.pop('lxx')29        self.luu[t] = kwargs.pop('luu')30        self.lux[t] = kwargs.pop('lux')31        self.J += np.sum(self.l[t])32    def __imul__(self, weight):33        weight = float(weight)34        if weight != 1:35            self.J *= weight36            self.l *= weight37            self.lx *= weight38            self.lu *= weight39            self.lxx *= weight40            self.luu *= weight41            self.lux *= weight42        return self43    def __iadd__(self, other):44        assert self.same_shape(other)45        self.J += other.J46        self.l += other.l47        self.lx += other.lx48        self.lu += other.lu49        self.lxx += other.lxx50        self.luu += other.luu51        self.lux += other.lux52        return self53    def same_shape(self, other):54        return \55            self.T == other.T and \56            self.xdim == other.xdim and \57            self.udim == other.udim58class DynamicsApprox(Approx):59    def __init__(self, T, xdim, udim):60        Approx.__init__(self, T, xdim, udim)61        object.__setattr__(self, 'Fx', np.zeros((T, xdim, xdim)))62        object.__setattr__(self, 'Fu', np.zeros((T, xdim, udim)))63        object.__setattr__(self, 'f0', np.zeros((T, xdim)))64    def set_t(self, t, **kwargs):65        self.Fx[t] = kwargs.pop('Fx')66        self.Fu[t] = kwargs.pop('Fu')67        self.f0[t] = kwargs.pop('f0')68class ValueApprox(Approx):69    def __init__(self, T, xdim):70        Approx.__init__(self, T, xdim, None)71        object.__setattr__(self, 'dV',  np.zeros((T, 2)))72        object.__setattr__(self, 'Vx',  np.zeros((T, xdim)))73        object.__setattr__(self, 'Vxx', np.zeros((T, xdim, xdim)))74    def set_t(self, t, **kwargs):75        self.dV[t] = kwargs.pop('dV')76        self.Vx[t] = kwargs.pop('Vx')77        self.Vxx[t] = kwargs.pop('Vxx')78class LocalValueApprox(Approx):79    def __init__(self, T, xdim, udim):80        Approx.__init__(self, T, xdim, udim)81        object.__setattr__(self, 'Qx',  np.zeros((T, xdim)))82        object.__setattr__(self, 'Qu',  np.zeros((T, udim)))83        object.__setattr__(self, 'Qxx', np.zeros((T, xdim, xdim)))84        object.__setattr__(self, 'Quu', np.zeros((T, udim, udim)))85        object.__setattr__(self, 'Qux', np.zeros((T, udim, xdim)))86    def set_t(self, t, **kwargs):87        self.Qx[t] = kwargs.pop('Qx')88        self.Qu[t] = kwargs.pop('Qu')89        self.Qxx[t] = kwargs.pop('Qxx')90        self.Quu[t] = kwargs.pop('Quu')...

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