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How to use _titleize method in robotframework-pageobjects

Best Python code snippet using robotframework-pageobjects_python

defaults.py

Source:defaults.py

...44    file_name_sans_ext = re.sub('\..*$', '', file_name)45    name_ndx = out_col_ndx_map['Name']46    name = row[name_ndx]47    if not name:48        name = row[name_ndx] = _titleize(file_name_sans_ext)49    desc_ndx = out_col_ndx_map['Description']50    if not row[desc_ndx]:51        row[desc_ndx] = name52    user_id_ndx = out_col_ndx_map['User Defined ID']53    if not row[user_id_ndx]:54        row[user_id_ndx] = (55            inflection.underscore(file_name_sans_ext).replace(' ', '_')56        )57def _add_reagents_defaults(row, out_col_ndx_map, experiment_type=None):58    """59    Makes default values as necessary for the following required columns:60    * `Name` - derived from the `Analyte Reported` and `Catalog Number`61    * `Catalog Number` - `NA`62    * `User Defined ID` - lower-case `Catalog Number` followed by `_reagent`63    * `Description` copied from `Name`64    """65    cat_nbr_ndx = out_col_ndx_map['Catalog Number']66    cat_nbr = row[cat_nbr_ndx]67    if not cat_nbr:68        cat_nbr = row[cat_nbr_ndx] = 'NA'69    analyte = row[out_col_ndx_map['Analyte Reported']]70    if not analyte:71        raise MungeError("Required Analyte Reported value is missing")72    # The default name is used for both the name and the default73    # user id.74    if cat_nbr.lower() == 'na':75        name_parts = [analyte]76        if experiment_type:77            name_parts.append(experiment_type)78    else:79        name_parts = [cat_nbr]80    name_parts.append('Reagent')81    def_name = ' '.join(name_parts)82    name_ndx = out_col_ndx_map['Name']83    name = row[name_ndx]84    if not name:85        name = row[name_ndx] = def_name86    # The default user id is derived from the name.87    user_id_ndx = out_col_ndx_map['User Defined ID']88    if not row[user_id_ndx]:89        row[user_id_ndx] = _name_to_id(def_name)90    # The default description is the name.91    desc_ndx = out_col_ndx_map['Description']92    if not row[desc_ndx]:93        row[desc_ndx] = name94def _add_treatments_defaults(row, out_col_ndx_map, experiment_type=None):95    """96    Makes default values as necessary for the following required columns:97    * `Name` - derived from the treatment values98    * `User Defined ID` - lower-case, underscored `Name` and `Amount Value`99    * `Use Treatment?` - default is `Yes`100    """101    name_ndx = out_col_ndx_map['Name']102    name = row[name_ndx]103    if not name:104        name = _default_treatment_name(row, out_col_ndx_map)105        if not name:106            raise MungeError("Required Name value could not be inferred from " +107                             "the " + ','.join(attrs) + " attributes")108        row[name_ndx] = name109    user_id_ndx = out_col_ndx_map['User Defined ID']110    if not row[user_id_ndx]:111        row[user_id_ndx] = _name_to_id(name)112    use_treatment_ndx = out_col_ndx_map['Use Treatment?']113    if not row[use_treatment_ndx]:114        row[use_treatment_ndx] = 'Yes'115def _default_treatment_name(row, out_col_ndx_map, experiment_type=None):116    qualifiers = [_treatment_name_qualifier(row, out_col_ndx_map, type)117                  for type in TREATMENT_QUALIFIER_TYPES]118    qualifier_s = ', '.join(filter(None, qualifiers))119    return qualifier_s if qualifier_s else None120def _treatment_name_qualifier(row, out_col_ndx_map, treatment_type):121    value_ndx = out_col_ndx_map[treatment_type + ' Value']122    value = row[value_ndx]123    if value != None:124        unit_ndx = out_col_ndx_map[treatment_type + ' Unit']125        unit = row[unit_ndx]126        if unit != 'Not Specified':127            return ' '.join((value, unit))128def _add_subjectAnimals_defaults(row, out_col_ndx_map):129    """130    Makes default values as necessary for the following required columns:131    * `Age Unit` - `Days`132    * `Age Event` - `Age at infection`133    """134    age_unit_ndx = out_col_ndx_map['Age Unit']135    age_unit = row[age_unit_ndx]136    if not age_unit:137        row[age_unit_ndx] = 'Days'138    age_event_ndx = out_col_ndx_map['Age Event']139    age_event = row[age_event_ndx]140    if not age_event:141        row[age_event_ndx] = 'Age at infection'142def _add_samples_defaults(row, out_col_ndx_map, experiment_type=None):143    """144    Makes default values as necessary for the following required columns:145    * `Experiment ID` - lower-case, underscored `Experiment Name`146    * `Planned Visit ID` - `Study ID` followed by `d` and the147      `Study Time Collected`148    * `Biosample ID` - lower-case, underscored `Biosample Name`,149      if present, otherwise the `Expsample ID`, if present,150      otherwise derived from the `Subject ID`, `Treatment ID(s)`151      and `Experiment ID`152    * `Expsample ID` - derived from the `Biosample ID`, `Treatment ID`153      and Experiment ID154    """155    experiment_id_ndx = out_col_ndx_map['Experiment ID']156    if not row[experiment_id_ndx]:157        name_ndx = out_col_ndx_map['Experiment Name']158        name = row[name_ndx]159        if not name:160            msg = "Both the Experiment ID and Name values are missing"161            raise MungeError(msg)162        row[experiment_id_ndx] = _name_to_id(name)163    visit_id_ndx = out_col_ndx_map['Planned Visit ID']164    visit_id = row[visit_id_ndx]165    if not visit_id:166        visit_id = _default_visit_id(out_col_ndx_map, 'Study Time Collected',167                                     row)168        row[visit_id_ndx] = visit_id169    biosample_id_ndx = out_col_ndx_map['Biosample ID']170    biosample_id = row[biosample_id_ndx]171    if not biosample_id:172        biosample_id = _default_biosample_id(row, out_col_ndx_map)173        row[biosample_id_ndx] = biosample_id174    expsample_id_ndx = out_col_ndx_map['Expsample ID']175    if not row[expsample_id_ndx]:176        row[expsample_id_ndx] = biosample_id177def _default_biosample_id(row, out_col_ndx_map):178    expsample_id_ndx = out_col_ndx_map['Expsample ID']179    expsample_id = row[expsample_id_ndx]180    if expsample_id:181        return expsample_id182    name_ndx = out_col_ndx_map['Biosample Name']183    name = row[name_ndx]184    if name:185        return _name_to_id(name)186    subject_id_ndx = out_col_ndx_map['Subject ID']187    subject_id = row[subject_id_ndx]188    if not subject_id:189        raise MungeError("The Biosample ID, Expsample ID, Biosample Name" +190                         " and Subject ID values are missing")191    experiment_id_ndx = out_col_ndx_map['Experiment ID']192    experiment_id = row[experiment_id_ndx]193    if not experiment_id:194        raise MungeError("The Biosample ID, Expsample ID, Biosample Name" +195                         " and Experiment ID values are missing")196    time_ndx = out_col_ndx_map['Study Time Collected']197    time = row[time_ndx]198    if not time:199        raise MungeError("The Biosample ID, Expsample ID, Biosample Name" +200                         " and Study Time Collected values are missing")201    time_unit_ndx = out_col_ndx_map['Study Time Collected Unit']202    time_unit = row[time_unit_ndx]203    if not time_unit:204        raise MungeError("The Biosample ID, Expsample ID, Biosample Name" +205                         " and Study Time Collected Unit values are missing")206    treatment_ids_ndx = out_col_ndx_map['Treatment ID(s)']207    treatment_ids = row[treatment_ids_ndx]208    if not treatment_ids:209        raise MungeError("The Biosample ID, Expsample ID, Biosample Name" +210                         " and Treatment ID(s) values are missing")211    return '_'.join((subject_id, re.sub(', *', '_', treatment_ids),212                     time_unit[0].lower() + time, experiment_id))213def _default_visit_id(out_col_ndx_map, study_day_column, row, experiment_type=None):214    """215    :return: the `Study ID` followed by `d` and the study day216    """217    study_id = row[out_col_ndx_map['Study ID']]218    if not study_id:219        raise MungeError("Required Study ID value is missing")220    day = row[out_col_ndx_map[study_day_column]]221    if day == None:222        raise MungeError("Required %s value is missing" % study_day_column)223    day_id = 'd' + str(day)224    return '_'.join((study_id.lower(), day_id))225def _add_assessments_defaults(row, out_col_ndx_map, experiment_type=None):226    """227    Makes default values as necessary for the following required columns:228    * `Planned Visit ID` - `Study ID` followed by `d` and the `Study Day`229    * `Panel Name Reported` - copied from the `Assessment Type`230    * `Assessment Panel ID` - derived from the `Panel Name Reported`231    * `User Defined ID` - derived from the `Subject ID`, `Planned Visit ID`232      and `Component Name Reported`233    """234    visit_id_ndx = out_col_ndx_map['Planned Visit ID']235    visit_id = row[visit_id_ndx]236    if not visit_id:237        visit_id = _default_visit_id(out_col_ndx_map, 'Study Day', row)238        row[visit_id_ndx] = visit_id239    panel_name_ndx = out_col_ndx_map['Panel Name Reported']240    panel_name = row[panel_name_ndx]241    if not panel_name:242        type = row[out_col_ndx_map['Assessment Type']]243        if not type:244            raise MungeError("Neither the Panel Name Reported nor the " +245                             "Assessment Type value is missing")246        panel_name = row[panel_name_ndx] = type247    panel_id_ndx = out_col_ndx_map['Assessment Panel ID']248    panel_id = row[panel_id_ndx]249    if not panel_id:250        panel_id = row[panel_id_ndx] = panel_name.lower().replace(' ', '_')251    user_id_ndx = out_col_ndx_map['User Defined ID']252    if not row[user_id_ndx]:253        subject_id = row[out_col_ndx_map['Subject ID']]254        if not subject_id:255            raise MungeError("Required Subject ID value is missing")256        component_name_ndx = out_col_ndx_map['Component Name Reported']257        component_name = row[component_name_ndx]258        if not component_name:259            raise MungeError("Required Component Name Reported value is missing")260        row[user_id_ndx] = '_'.join((subject_id, visit_id, component_name.lower()))261def _name_to_id(name):262    return re.sub(r'[^\w]', '_', name).lower()263def _titleize(s):264    """265    Tweaks `inflection.titleize` to preserve acronyms.266    >>> print(inflection.titleize('AB_CdeXYZ_Name'))267    Ab Cde Xyz Name268    >>> print(defaults._titleize('AB_CdeXYZ_Name'))269    AB Cde XYZ Name270    """271    acronyms = re.findall('[A-Z][A-Z]+', s)272    recapitalize = {acronym.capitalize(): acronym for acronym in acronyms}273    title = inflection.titleize(s)274    for k, v in recapitalize.items():275        title = title.replace(k, v)276    return title277"""The default callbuck functions."""278DEF_CALLBACKS = dict(protocols=_add_protocols_defaults,279                     treatments=_add_treatments_defaults,280                     reagents=_add_reagents_defaults,281                     subjectAnimals=_add_subjectAnimals_defaults,282                     experimentSamples=_add_samples_defaults,...

slack_webhook.py

Source:slack_webhook.py

...30    Returns:31        str: base64 encoded str32    """33    return b64encode(inp.encode()).decode()34def _titleize(inp: str) -> str:35    """_titleize.36    Args:37        inp (str): inp38    Returns:39        str: titlized str (i.e foo_bar == Foo Bar)40    """41    arr = inp.split("_")42    return " ".join(i.title() for i in arr)43def _json_str(inp: str) -> str:44    """_json_str.45    Args:46        inp (str): inp47    Returns:48        str: json escaped string...

name.py

Source:name.py

...56            return name57        raise RuntimeError(58            "this type is not named, please considering use NewNamedType(<name>, <type>)"59        )60def _titleize(name: str) -> str:61    if not name:62        return name63    name = str(name)64    return "{}{}".format(name[0].upper(), name[1:])65class NameGuesser:66    def __init__(67        self,68        resolver: NameResolver,69        *,70        formatter: t.Callable[[str], str] = _titleize,71        _aliases: t.Optional[t.Dict[object, str]] = None,72        _joiners: t.Optional[73            t.Dict[object, t.Callable[[t.Type[t.Any], t.Tuple[t.Any, ...]], str]]74        ] = None,...

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