xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

0ee4a5d0ab3d83e9785962d718d4dbd60517468b

36

py

Python

project/__init__.py

gunater/calculation-of-energy-levels

587aef1c138e77bde52bb9df20b74bd970ad2adf

[ "MIT" ]

null

project/__init__.py

gunater/calculation-of-energy-levels

587aef1c138e77bde52bb9df20b74bd970ad2adf

[ "MIT" ]

null

project/__init__.py

gunater/calculation-of-energy-levels

587aef1c138e77bde52bb9df20b74bd970ad2adf

[ "MIT" ]

null

def __version__(): return '0.1'

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7

0efcc78335f8edce1c003674830623823ed09499

501

py

Python

Print/printResiResnNameB4ResiX.py

MooersLab/jupyterlabpymolpysnipsplus

b886750d63372434df53d4d6d7cdad6cb02ae4e7

[ "MIT" ]

null

Print/printResiResnNameB4ResiX.py

MooersLab/jupyterlabpymolpysnipsplus

b886750d63372434df53d4d6d7cdad6cb02ae4e7

[ "MIT" ]

null

Print/printResiResnNameB4ResiX.py

MooersLab/jupyterlabpymolpysnipsplus

b886750d63372434df53d4d6d7cdad6cb02ae4e7

[ "MIT" ]

null

# Description: Print resn, resi, atom name, and b-factor. # Source: placeHolder """ cmd.do('Bfac_dict = { "Bfactors3" : [] };cmd.iterate("(${1:resi 133})","Bfactors3.append((resn,resi,name, b))", space=Bfac_dict); for i,j,k,l in Bfac_dict["Bfactors3"]: print("%s %s %s %.2f" % (i,j,k,l));') """ cmd.do('Bfac_dict = { "Bfactors3" : [] ;cmd.iterate("(resi 133)","Bfactors3.append((resn,resi,name, b))", space=Bfac_dict); for i,j,k,l in Bfac_dict["Bfactors3"]: print("%s %s %s %.2f" % (i,j,k,l));')

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8

1607c250189f354a39a4f3ea4437d491e337d430

964

py

Python

episode-3-comparison-subtraction/comparison-test.py

nickelcarbide/arbitrary-precision-arithmetic-demo

7f9576ff7401c0d638553e7e7412e275569d6fd9

[ "Unlicense" ]

null

episode-3-comparison-subtraction/comparison-test.py

nickelcarbide/arbitrary-precision-arithmetic-demo

7f9576ff7401c0d638553e7e7412e275569d6fd9

[ "Unlicense" ]

null

episode-3-comparison-subtraction/comparison-test.py

nickelcarbide/arbitrary-precision-arithmetic-demo

7f9576ff7401c0d638553e7e7412e275569d6fd9

[ "Unlicense" ]

null

from biguint import BigUInt x = BigUInt() x.from_py_int(5_000_000_000_000) print("x =", x) print("x.digits =", x.digits) y = BigUInt() y.from_py_int(123_456_789) print("y =", y) print("y.digits =", y.digits) x.compare(y) print("comparison =", x.compare(y)) print() x.from_py_int(555_555) print("x =", x) print("x.digits =", x.digits) y.from_py_int(8_132_129_309_329_813_280_982) print("y =", y) print("y.digits =", y.digits) x.compare(y) print("comparison =", x.compare(y)) print() x.from_py_int(2_000_000_000) print("x =", x) print("x.digits =", x.digits) y.from_py_int(6_000_000_000) print("y =", y) print("y.digits =", y.digits) x.compare(y) print("comparison =", x.compare(y)) print() x.from_py_int(9_999_999_999_999) print("x =", x) print("y.digits =", x.digits) y.from_py_int(9_999_999_999_999) print("y =", y) print("y.digits =", y.digits) x.compare(y) print("comparison =", x.compare(y))

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964

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7

162874e033caf08ca8e56ec619c25e859083ec0a

34,024

py

Python

infoblox_netmri/api/broker/v3_8_0/if_setting_broker.py

infobloxopen/infoblox_netmri

aa1c744df7e439dbe163bb9edd165e4e85a9771b

[ "Apache-2.0" ]

12

2016-02-19T12:37:54.000Z

2022-03-04T20:11:08.000Z

infoblox_netmri/api/broker/v3_8_0/if_setting_broker.py

azinfoblox/infoblox-netmri

02372c5231e2677ab6299cb659a73c9a41b4b0f4

[ "Apache-2.0" ]

18

2015-11-12T18:37:00.000Z

2021-05-19T07:59:55.000Z

infoblox_netmri/api/broker/v3_8_0/if_setting_broker.py

azinfoblox/infoblox-netmri

02372c5231e2677ab6299cb659a73c9a41b4b0f4

[ "Apache-2.0" ]

18

2016-01-07T12:04:34.000Z

2022-03-31T11:05:41.000Z

from ..broker import Broker class IfSettingBroker(Broker): controller = "if_settings" def index(self, **kwargs): """Lists the available if settings. Any of the inputs listed may be be used to narrow the list; other inputs will be ignored. Of the various ways to query lists, using this method is most efficient. **Inputs** | ``api version min:`` 2.3 | ``api version max:`` 2.4 | ``required:`` False | ``default:`` None :param DeviceID: The internal NetMRI identifier for device. :type DeviceID: Integer | ``api version min:`` 2.5 | ``api version max:`` None | ``required:`` False | ``default:`` None :param DeviceID: The internal NetMRI identifier for device. :type DeviceID: Array of Integer | ``api version min:`` 2.3 | ``api version max:`` 2.4 | ``required:`` False | ``default:`` None :param id: The internal NetMRI identifier for interface setting. :type id: Integer | ``api version min:`` 2.5 | ``api version max:`` None | ``required:`` False | ``default:`` None :param id: The internal NetMRI identifier for interface setting. :type id: Array of Integer | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` 0 :param start: The record number to return in the selected page of data. It will always appear, although it may not be the first record. See the :limit for more information. :type start: Integer | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` 1000 :param limit: The size of the page of data, that is, the maximum number of records returned. The limit size will be used to break the data up into pages and the first page with the start record will be returned. So if you have 100 records and use a :limit of 10 and a :start of 10, you will get records 10-19. The maximum limit is 10000. :type limit: Integer | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` id :param sort: The data field(s) to use for sorting the output. Default is id. Valid values are id, DeviceID, ifIndex, InterfaceID, CollectionInd, created_at, updated_at, SPMExcludedInd. :type sort: Array of String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` asc :param dir: The direction(s) in which to sort the data. Default is 'asc'. Valid values are 'asc' and 'desc'. :type dir: Array of String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param select: The list of attributes to return for each IfSetting. Valid values are id, DeviceID, ifIndex, InterfaceID, CollectionInd, created_at, updated_at, SPMExcludedInd. If empty or omitted, all attributes will be returned. :type select: Array | ``api version min:`` 2.8 | ``api version max:`` None | ``required:`` False | ``default:`` None :param goto_field: The field name for NIOS GOTO that is used for locating a row position of records. :type goto_field: String | ``api version min:`` 2.8 | ``api version max:`` None | ``required:`` False | ``default:`` None :param goto_value: The value of goto_field for NIOS GOTO that is used for locating a row position of records. :type goto_value: String **Outputs** | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :return if_settings: An array of the IfSetting objects that match the specified input criteria. :rtype if_settings: Array of IfSetting """ return self.api_list_request(self._get_method_fullname("index"), kwargs) def search(self, **kwargs): """Lists the available if settings matching the input criteria. This method provides a more flexible search interface than the index method, but searching using this method is more demanding on the system and will not perform to the same level as the index method. The input fields listed below will be used as in the index method, to filter the result, along with the optional query string and XML filter described below. **Inputs** | ``api version min:`` 2.3 | ``api version max:`` 2.4 | ``required:`` False | ``default:`` None :param DeviceID: The internal NetMRI identifier for device. :type DeviceID: Integer | ``api version min:`` 2.5 | ``api version max:`` None | ``required:`` False | ``default:`` None :param DeviceID: The internal NetMRI identifier for device. :type DeviceID: Array of Integer | ``api version min:`` 2.3 | ``api version max:`` 2.4 | ``required:`` False | ``default:`` None :param ifIndex: The index of interface. :type ifIndex: Integer | ``api version min:`` 2.5 | ``api version max:`` None | ``required:`` False | ``default:`` None :param ifIndex: The index of interface. :type ifIndex: Array of Integer | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` 0 :param start: The record number to return in the selected page of data. It will always appear, although it may not be the first record. See the :limit for more information. :type start: Integer | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` 1000 :param limit: The size of the page of data, that is, the maximum number of records returned. The limit size will be used to break the data up into pages and the first page with the start record will be returned. So if you have 100 records and use a :limit of 10 and a :start of 10, you will get records 10-19. The maximum limit is 10000. :type limit: Integer | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` id :param sort: The data field(s) to use for sorting the output. Default is id. Valid values are id, DeviceID, ifIndex, InterfaceID, CollectionInd, created_at, updated_at, SPMExcludedInd. :type sort: Array of String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` asc :param dir: The direction(s) in which to sort the data. Default is 'asc'. Valid values are 'asc' and 'desc'. :type dir: Array of String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param select: The list of attributes to return for each IfSetting. Valid values are id, DeviceID, ifIndex, InterfaceID, CollectionInd, created_at, updated_at, SPMExcludedInd. If empty or omitted, all attributes will be returned. :type select: Array | ``api version min:`` 2.8 | ``api version max:`` None | ``required:`` False | ``default:`` None :param goto_field: The field name for NIOS GOTO that is used for locating a row position of records. :type goto_field: String | ``api version min:`` 2.8 | ``api version max:`` None | ``required:`` False | ``default:`` None :param goto_value: The value of goto_field for NIOS GOTO that is used for locating a row position of records. :type goto_value: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param query: This value will be matched against if settings, looking to see if one or more of the listed attributes contain the passed value. You may also surround the value with '/' and '/' to perform a regular expression search rather than a containment operation. Any record that matches will be returned. The attributes searched are: CollectionInd, DeviceID, InterfaceID, SPMExcludedInd, created_at, id, ifIndex, updated_at. :type query: String | ``api version min:`` 2.3 | ``api version max:`` None | ``required:`` False | ``default:`` None :param xml_filter: A SetFilter XML structure to further refine the search. The SetFilter will be applied AFTER any search query or field values, but before any limit options. The limit and pagination will be enforced after the filter. Remind that this kind of filter may be costly and inefficient if not associated with a database filtering. :type xml_filter: String **Outputs** | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :return if_settings: An array of the IfSetting objects that match the specified input criteria. :rtype if_settings: Array of IfSetting """ return self.api_list_request(self._get_method_fullname("search"), kwargs) def find(self, **kwargs): """Lists the available if settings matching the input specification. This provides the most flexible search specification of all the query mechanisms, enabling searching using comparison operations other than equality. However, it is more complex to use and will not perform as efficiently as the index or search methods. In the input descriptions below, 'field names' refers to the following fields: CollectionInd, DeviceID, InterfaceID, SPMExcludedInd, created_at, id, ifIndex, updated_at. **Inputs** | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param op_CollectionInd: The operator to apply to the field CollectionInd. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. CollectionInd: A flag indicating if data collection enabled on this interface. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values. :type op_CollectionInd: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param val_f_CollectionInd: If op_CollectionInd is specified, the field named in this input will be compared to the value in CollectionInd using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_CollectionInd must be specified if op_CollectionInd is specified. :type val_f_CollectionInd: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param val_c_CollectionInd: If op_CollectionInd is specified, this value will be compared to the value in CollectionInd using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_CollectionInd must be specified if op_CollectionInd is specified. :type val_c_CollectionInd: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param op_DeviceID: The operator to apply to the field DeviceID. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DeviceID: The internal NetMRI identifier for device. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values. :type op_DeviceID: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param val_f_DeviceID: If op_DeviceID is specified, the field named in this input will be compared to the value in DeviceID using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DeviceID must be specified if op_DeviceID is specified. :type val_f_DeviceID: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param val_c_DeviceID: If op_DeviceID is specified, this value will be compared to the value in DeviceID using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DeviceID must be specified if op_DeviceID is specified. :type val_c_DeviceID: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param op_InterfaceID: The operator to apply to the field InterfaceID. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. InterfaceID: The internal NetMRI identifier for interface. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values. :type op_InterfaceID: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param val_f_InterfaceID: If op_InterfaceID is specified, the field named in this input will be compared to the value in InterfaceID using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_InterfaceID must be specified if op_InterfaceID is specified. :type val_f_InterfaceID: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param val_c_InterfaceID: If op_InterfaceID is specified, this value will be compared to the value in InterfaceID using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_InterfaceID must be specified if op_InterfaceID is specified. :type val_c_InterfaceID: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param op_SPMExcludedInd: The operator to apply to the field SPMExcludedInd. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. SPMExcludedInd: A flag indicating if interface excluded from Switch Port Management. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values. :type op_SPMExcludedInd: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param val_f_SPMExcludedInd: If op_SPMExcludedInd is specified, the field named in this input will be compared to the value in SPMExcludedInd using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_SPMExcludedInd must be specified if op_SPMExcludedInd is specified. :type val_f_SPMExcludedInd: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param val_c_SPMExcludedInd: If op_SPMExcludedInd is specified, this value will be compared to the value in SPMExcludedInd using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_SPMExcludedInd must be specified if op_SPMExcludedInd is specified. :type val_c_SPMExcludedInd: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param op_created_at: The operator to apply to the field created_at. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. created_at: The date and time the record was initially created in NetMRI. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values. :type op_created_at: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param val_f_created_at: If op_created_at is specified, the field named in this input will be compared to the value in created_at using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_created_at must be specified if op_created_at is specified. :type val_f_created_at: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param val_c_created_at: If op_created_at is specified, this value will be compared to the value in created_at using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_created_at must be specified if op_created_at is specified. :type val_c_created_at: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param op_id: The operator to apply to the field id. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. id: The internal NetMRI identifier for interface setting. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values. :type op_id: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param val_f_id: If op_id is specified, the field named in this input will be compared to the value in id using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_id must be specified if op_id is specified. :type val_f_id: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param val_c_id: If op_id is specified, this value will be compared to the value in id using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_id must be specified if op_id is specified. :type val_c_id: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param op_ifIndex: The operator to apply to the field ifIndex. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. ifIndex: The index of interface. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values. :type op_ifIndex: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param val_f_ifIndex: If op_ifIndex is specified, the field named in this input will be compared to the value in ifIndex using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_ifIndex must be specified if op_ifIndex is specified. :type val_f_ifIndex: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param val_c_ifIndex: If op_ifIndex is specified, this value will be compared to the value in ifIndex using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_ifIndex must be specified if op_ifIndex is specified. :type val_c_ifIndex: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param op_updated_at: The operator to apply to the field updated_at. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. updated_at: The date and time the record was last modified in NetMRI. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values. :type op_updated_at: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param val_f_updated_at: If op_updated_at is specified, the field named in this input will be compared to the value in updated_at using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_updated_at must be specified if op_updated_at is specified. :type val_f_updated_at: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param val_c_updated_at: If op_updated_at is specified, this value will be compared to the value in updated_at using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_updated_at must be specified if op_updated_at is specified. :type val_c_updated_at: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` 0 :param start: The record number to return in the selected page of data. It will always appear, although it may not be the first record. See the :limit for more information. :type start: Integer | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` 1000 :param limit: The size of the page of data, that is, the maximum number of records returned. The limit size will be used to break the data up into pages and the first page with the start record will be returned. So if you have 100 records and use a :limit of 10 and a :start of 10, you will get records 10-19. The maximum limit is 10000. :type limit: Integer | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` id :param sort: The data field(s) to use for sorting the output. Default is id. Valid values are id, DeviceID, ifIndex, InterfaceID, CollectionInd, created_at, updated_at, SPMExcludedInd. :type sort: Array of String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` asc :param dir: The direction(s) in which to sort the data. Default is 'asc'. Valid values are 'asc' and 'desc'. :type dir: Array of String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param select: The list of attributes to return for each IfSetting. Valid values are id, DeviceID, ifIndex, InterfaceID, CollectionInd, created_at, updated_at, SPMExcludedInd. If empty or omitted, all attributes will be returned. :type select: Array | ``api version min:`` 2.8 | ``api version max:`` None | ``required:`` False | ``default:`` None :param goto_field: The field name for NIOS GOTO that is used for locating a row position of records. :type goto_field: String | ``api version min:`` 2.8 | ``api version max:`` None | ``required:`` False | ``default:`` None :param goto_value: The value of goto_field for NIOS GOTO that is used for locating a row position of records. :type goto_value: String | ``api version min:`` 2.3 | ``api version max:`` None | ``required:`` False | ``default:`` None :param xml_filter: A SetFilter XML structure to further refine the search. The SetFilter will be applied AFTER any search query or field values, but before any limit options. The limit and pagination will be enforced after the filter. Remind that this kind of filter may be costly and inefficient if not associated with a database filtering. :type xml_filter: String **Outputs** | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :return if_settings: An array of the IfSetting objects that match the specified input criteria. :rtype if_settings: Array of IfSetting """ return self.api_list_request(self._get_method_fullname("find"), kwargs) def show(self, **kwargs): """Shows the details for the specified if setting. **Inputs** | ``api version min:`` None | ``api version max:`` None | ``required:`` True | ``default:`` None :param id: The internal NetMRI identifier for interface setting. :type id: Integer **Outputs** | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :return if_setting: The if setting identified by the specified id. :rtype if_setting: IfSetting """ return self.api_request(self._get_method_fullname("show"), kwargs) def create(self, **kwargs): """Creates a new if setting. **Inputs** | ``api version min:`` None | ``api version max:`` None | ``required:`` True | ``default:`` None :param DeviceID: The internal NetMRI identifier for device. :type DeviceID: Integer | ``api version min:`` None | ``api version max:`` None | ``required:`` True | ``default:`` None :param ifIndex: The index of interface. :type ifIndex: Integer | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` 1 :param CollectionInd: A flag indicating if data collection enabled on this interface. :type CollectionInd: Boolean | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` 0 :param SPMExcludedInd: A flag indicating if interface excluded from Switch Port Management. :type SPMExcludedInd: Boolean **Outputs** | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :return id: The id of the newly created if setting. :rtype id: Integer | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :return model: The class name of the newly created if setting. :rtype model: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :return uri: A URI that may be used to retrieve the newly created if setting. :rtype uri: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :return if_setting: The newly created if setting. :rtype if_setting: IfSetting """ return self.api_request(self._get_method_fullname("create"), kwargs) def update(self, **kwargs): """Updates an existing if setting. **Inputs** | ``api version min:`` None | ``api version max:`` None | ``required:`` True | ``default:`` None :param id: The internal NetMRI identifier for interface setting. :type id: Integer | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param DeviceID: The internal NetMRI identifier for device. If omitted, this field will not be updated. :type DeviceID: Integer | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param ifIndex: The index of interface. If omitted, this field will not be updated. :type ifIndex: Integer | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` 1 :param CollectionInd: A flag indicating if data collection enabled on this interface. If omitted, this field will be updated to the default value. :type CollectionInd: Boolean | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` 0 :param SPMExcludedInd: A flag indicating if interface excluded from Switch Port Management. If omitted, this field will be updated to the default value. :type SPMExcludedInd: Boolean **Outputs** | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :return id: The id of the updated if setting. :rtype id: Integer | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :return model: The class name of the updated if setting. :rtype model: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :return uri: A URI that may be used to retrieve the updated if setting. :rtype uri: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :return if_setting: The updated if setting. :rtype if_setting: IfSetting """ return self.api_request(self._get_method_fullname("update"), kwargs) def destroy(self, **kwargs): """Deletes the specified if setting from NetMRI. **Inputs** | ``api version min:`` None | ``api version max:`` None | ``required:`` True | ``default:`` None :param id: The internal NetMRI identifier for interface setting. :type id: Integer **Outputs** """ return self.api_request(self._get_method_fullname("destroy"), kwargs)

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null

0

1

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1

0

8

162a08d6f43ad28ba907b0f023d761992eadd58d

115

py

Python

utils.py

AhmedAlaa2024/Heal-and-Cure

c5db8f0e87cfe2f7394bc7f84c9ef490ceedf7b4

[ "MIT" ]

1

2022-01-16T16:37:53.000Z

utils.py

AhmedAlaa2024/Heal-and-Cure

c5db8f0e87cfe2f7394bc7f84c9ef490ceedf7b4

[ "MIT" ]

null

utils.py

AhmedAlaa2024/Heal-and-Cure

c5db8f0e87cfe2f7394bc7f84c9ef490ceedf7b4

[ "MIT" ]

null

from datetime import datetime def get_time_now_as_text(): return datetime.now().strftime("%m/%d/%Y, %H:%M:%S")

28.75

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7

162e3097de09eb43e801b12bade676ee7e177327

16,200

py

Python

panoptic_benchmark/engine/combine_methods.py

RAPNet/RAP

83662d8d44190f2f32cb2a455881b74a76e782c0

[ "MIT" ]

4

2020-03-22T12:29:45.000Z

2022-01-30T03:27:50.000Z

panoptic_benchmark/engine/combine_methods.py

RAPNet/RAP

83662d8d44190f2f32cb2a455881b74a76e782c0

[ "MIT" ]

null

panoptic_benchmark/engine/combine_methods.py

RAPNet/RAP

83662d8d44190f2f32cb2a455881b74a76e782c0

[ "MIT" ]

null

import os import PIL.Image as Image from pycocotools import mask as COCOmask from ..utils.pan_utils import IdGenerator, id2rgb, save_json import numpy as np import cv2 import copy import torch def combine_to_panoptic_heuristic(cfg, img_info, inst_results, sem_results, id_generator, segmentations_folder): overlap_thr = cfg.MODEL.SEMANTIC.OVERLAP_THR confidence_thr = cfg.MODEL.SEMANTIC.CONFIDENCE_THR stuff_area_limit = cfg.MODEL.SEMANTIC.STUFF_AREA_LIMIT # remove instance with score less than confidence_thr inst_results = [inst for inst in inst_results if not inst["score"] < confidence_thr] # sort instance by score inst_results = sorted(inst_results, key=lambda el: -el['score']) # construct panoptic segmentation image pan_segm_id = np.zeros((img_info['height'], img_info['width']), dtype=np.uint32) used = None annotation = {} try: annotation['image_id'] = int(img_info["id"]) except Exception: annotation['image_id'] = img_info["id"] annotation['file_name'] = img_info["file_name"].replace('.jpg', '.png') segments_info = [] # --- combine instance one by one for ann in inst_results: area = COCOmask.area(ann['segmentation']) if area == 0: continue if used is None: intersect = 0 used = copy.deepcopy(ann['segmentation']) else: intersect = COCOmask.area( COCOmask.merge([used, ann['segmentation']], intersect=True) ) if intersect / area > overlap_thr: continue used = COCOmask.merge([used, ann['segmentation']], intersect=False) mask = COCOmask.decode(ann['segmentation']) == 1 if intersect != 0: mask = np.logical_and(pan_segm_id == 0, mask) #print(ann["id"]) segment_id = id_generator.get_id(ann['label']) pan_segm_id[mask] = segment_id panoptic_ann = {} panoptic_ann['id'] = segment_id panoptic_ann['category_id'] = ann['label'] segments_info.append(panoptic_ann) # --- combine semantic area one by one for ann in sem_results: mask = COCOmask.decode(ann['segmentation']) == 1 mask_left = np.logical_and(pan_segm_id == 0, mask) if mask_left.sum() < stuff_area_limit: continue segment_id = id_generator.get_id(ann['label']) pan_segm_id[mask_left] = segment_id panoptic_ann = {} panoptic_ann['id'] = segment_id panoptic_ann['category_id'] = ann['label'] segments_info.append(panoptic_ann) annotation['segments_info'] = segments_info Image.fromarray(id2rgb(pan_segm_id)).save(os.path.join(segmentations_folder, annotation['file_name'])) return annotation def combine_to_panoptic_RAP(cfg, img_info, inst_results, sem_results, id_generator, segmentations_folder): overlap_thr = cfg.MODEL.SEMANTIC.OVERLAP_THR confidence_thr = cfg.MODEL.SEMANTIC.CONFIDENCE_THR stuff_area_limit = cfg.MODEL.SEMANTIC.STUFF_AREA_LIMIT large_overlap_thr = cfg.MODEL.SEMANTIC.LARGE_OVERLAP_THR # remove instance with score less than confidence_thr inst_results = [inst for inst in inst_results if not inst["score"] < confidence_thr] # sort instance by score inst_results = sorted(inst_results, key=lambda el: -el['score']) # construct panoptic segmentation image pan_segm_id = np.zeros((img_info['height'], img_info['width']), dtype=np.uint32) used_label = np.zeros((img_info['height'], img_info['width']), np.int32) used_relation_vals = np.zeros((img_info['height'], img_info['width']), dtype=np.float32) used_relation_vals[:,:] = float("Inf") annotation = {} try: annotation['image_id'] = int(img_info["id"]) except Exception: annotation['image_id'] = img_info["id"] annotation['file_name'] = img_info["file_name"].replace('.jpg', '.png') segments_info = [] # --- combine instance one by one #inst_count = 0 for ann in inst_results: area = COCOmask.area(ann['segmentation']) mask = COCOmask.decode(ann['segmentation']) == 1 if area == 0: continue intersect_mask = np.logical_and(pan_segm_id > 0, mask) same_label_intersect_mask = np.logical_and(intersect_mask, used_label==ann["label"]) intersect = np.sum(intersect_mask) same_label_intersect = np.sum(same_label_intersect_mask) if same_label_intersect / area > overlap_thr: continue is_valid = True if intersect != 0: intersect_ids = np.unique(pan_segm_id[intersect_mask]) for intersect_id in intersect_ids: id_area = np.sum(pan_segm_id==intersect_id) intersect_id_mask = np.logical_and((pan_segm_id == intersect_id), intersect_mask) intersect_id_area= np.sum(intersect_id_mask) if intersect_id_area/area >= large_overlap_thr and intersect_id_area/id_area >= large_overlap_thr: is_valid = False break mask = np.logical_and(used_relation_vals > ann["relation_val"], mask) if not is_valid: continue if np.sum(mask) / area <= overlap_thr: continue segment_id = id_generator.get_id(ann['label']) pan_segm_id[mask] = segment_id used_label[mask] = ann["label"] used_relation_vals[mask] = ann["relation_val"] panoptic_ann = {} panoptic_ann['id'] = segment_id panoptic_ann['category_id'] = ann['label'] segments_info.append(panoptic_ann) # check if instance still exist refine_segments_info = [] for panoptic_ann in segments_info: segment_id = panoptic_ann['id'] area = np.sum(pan_segm_id == segment_id) if area > 0: refine_segments_info.append(panoptic_ann) segments_info = refine_segments_info # --- combine semantic area one by one for ann in sem_results: mask = COCOmask.decode(ann['segmentation']) == 1 mask_left = np.logical_and(pan_segm_id == 0, mask) if mask_left.sum() < stuff_area_limit: continue segment_id = id_generator.get_id(ann['label']) pan_segm_id[mask_left] = segment_id panoptic_ann = {} panoptic_ann['id'] = segment_id panoptic_ann['category_id'] = ann['label'] segments_info.append(panoptic_ann) annotation['segments_info'] = segments_info Image.fromarray(id2rgb(pan_segm_id)).save(os.path.join(segmentations_folder, annotation['file_name'])) return annotation def combine_to_panoptic_ocfusion(cfg, img_info, inst_results, sem_results, id_generator, segmentations_folder): overlap_thr = cfg.MODEL.SEMANTIC.OVERLAP_THR confidence_thr = cfg.MODEL.SEMANTIC.CONFIDENCE_THR stuff_area_limit = cfg.MODEL.SEMANTIC.STUFF_AREA_LIMIT # remove instance with score less than confidence_thr inst_results = [inst for inst in inst_results if not inst["score"] < confidence_thr] # sort instance by score inst_results = sorted(inst_results, key=lambda el: -el['score']) # construct panoptic segmentation image pan_segm_id = np.zeros((img_info['height'], img_info['width']), dtype=np.uint32) used = np.zeros((img_info['height'], img_info['width']), np.int32) annotation = {} try: annotation['image_id'] = int(img_info["id"]) except Exception: annotation['image_id'] = img_info["id"] annotation['file_name'] = img_info["file_name"].replace('.jpg', '.png') segments_info = [] # --- combine instance one by one for ann in inst_results: area = COCOmask.area(ann['segmentation']) mask = COCOmask.decode(ann['segmentation']) == 1 inst_id = ann["id"] occlusion_val = ann["occlusion_val"] if area == 0: continue intersect_mask = np.logical_and((used > 0), mask) intersect = np.sum(intersect_mask) if intersect != 0: mask = np.logical_and(used==0, mask) intersect_ids = np.unique(used[intersect_mask]) for intersect_id in intersect_ids: id_area = np.sum(used==intersect_id) intersect_id_mask = np.logical_and((used == intersect_id), intersect_mask) intersect_id_area= np.sum(intersect_id_mask) if intersect_id_area/area >= 0.2 or intersect_id_area/id_area >= 0.2: val = occlusion_val[intersect_id-1] if val: mask[intersect_id_mask] = True if np.sum(mask)/area <= overlap_thr: continue segment_id = id_generator.get_id(ann['label']) pan_segm_id[mask] = segment_id used[mask] = inst_id panoptic_ann = {} panoptic_ann['id'] = segment_id panoptic_ann['category_id'] = ann['label'] segments_info.append(panoptic_ann) # check if instance still exist refine_segments_info = [] for panoptic_ann in segments_info: segment_id = panoptic_ann['id'] area = np.sum(pan_segm_id == segment_id) if area > 0: refine_segments_info.append(panoptic_ann) segments_info = refine_segments_info # --- combine semantic area one by one for ann in sem_results: mask = COCOmask.decode(ann['segmentation']) == 1 mask_left = np.logical_and(pan_segm_id == 0, mask) if mask_left.sum() < stuff_area_limit: continue segment_id = id_generator.get_id(ann['label']) pan_segm_id[mask_left] = segment_id panoptic_ann = {} panoptic_ann['id'] = segment_id panoptic_ann['category_id'] = ann['label'] segments_info.append(panoptic_ann) annotation['segments_info'] = segments_info Image.fromarray(id2rgb(pan_segm_id)).save(os.path.join(segmentations_folder, annotation['file_name'])) return annotation def combine_to_panoptic_for_acc(cfg, img_info, inst_results, id_generator, target_relations): overlap_thr = cfg.MODEL.SEMANTIC.OVERLAP_THR confidence_thr = cfg.MODEL.SEMANTIC.CONFIDENCE_THR stuff_area_limit = cfg.MODEL.SEMANTIC.STUFF_AREA_LIMIT large_overlap_thr = cfg.MODEL.SEMANTIC.LARGE_OVERLAP_THR # remove instance with score less than confidence_thr inst_results = [inst for inst in inst_results if not inst["score"] < confidence_thr] # sort instance by score inst_results = sorted(inst_results, key=lambda el: -el['score']) # construct panoptic segmentation image pan_segm_id = np.zeros((img_info['height'], img_info['width']), dtype=np.uint32) used_label = np.zeros((img_info['height'], img_info['width']), np.int32) used_relation_vals = np.zeros((img_info['height'], img_info['width']), dtype=np.float32) used_relation_vals[:,:] = float("Inf") segment_id_to_instance_id = {} segment_id_to_pred_val = {} count = 0 infer_count = 0 acc_num = 0 score_acc_num = 0 # --- combine instance one by one for ann in inst_results: area = COCOmask.area(ann['segmentation']) mask = COCOmask.decode(ann['segmentation']) == 1 if area == 0: continue intersect_mask = np.logical_and(pan_segm_id > 0, mask) same_label_intersect_mask = np.logical_and(intersect_mask, used_label==ann["label"]) intersect = np.sum(intersect_mask) same_label_intersect = np.sum(same_label_intersect_mask) if same_label_intersect / area > overlap_thr: continue is_valid = True if intersect != 0: intersect_ids = np.unique(pan_segm_id[intersect_mask]) for intersect_id in intersect_ids: id_area = np.sum(pan_segm_id==intersect_id) intersect_id_mask = np.logical_and((pan_segm_id == intersect_id), intersect_mask) intersect_id_area= np.sum(intersect_id_mask) if intersect_id_area/area >= large_overlap_thr and intersect_id_area/id_area >= large_overlap_thr: is_valid = False break # calculate acc instance_id1 = segment_id_to_instance_id[intersect_id] instance_id2 = ann["instance_id"] pred_val1 = segment_id_to_pred_val[intersect_id] pred_val2 = ann["relation_val"] if (instance_id1, instance_id2) in target_relations: if pred_val1 < pred_val2: acc_num += 1 score_acc_num += 1 count += 1 elif (instance_id2, instance_id1) in target_relations: if pred_val2 < pred_val1: acc_num += 1 count += 1 mask = np.logical_and(used_relation_vals > ann["relation_val"], mask) if is_valid: infer_count += 1 if np.sum(mask) / area <= overlap_thr: continue if not is_valid: continue segment_id = id_generator.get_id(ann['label']) pan_segm_id[mask] = segment_id used_label[mask] = ann["label"] used_relation_vals[mask] = ann["relation_val"] segment_id_to_instance_id[segment_id] = ann["instance_id"] segment_id_to_pred_val[segment_id] = ann["relation_val"] return acc_num, score_acc_num, infer_count, count def combine_to_panoptic_for_ocfusion_acc(cfg, img_info, inst_results, id_generator, target_relations): overlap_thr = cfg.MODEL.SEMANTIC.OVERLAP_THR confidence_thr = cfg.MODEL.SEMANTIC.CONFIDENCE_THR stuff_area_limit = cfg.MODEL.SEMANTIC.STUFF_AREA_LIMIT # remove instance with score less than confidence_thr inst_results = [inst for inst in inst_results if not inst["score"] < confidence_thr] # sort instance by score inst_results = sorted(inst_results, key=lambda el: -el['score']) # construct panoptic segmentation image pan_segm_id = np.zeros((img_info['height'], img_info['width']), dtype=np.uint32) used = np.zeros((img_info['height'], img_info['width']), np.int32) id_to_instance_id = {} count = 0 infer_count = 0 acc_num = 0 score_acc_num = 0 # --- combine instance one by one for ann in inst_results: area = COCOmask.area(ann['segmentation']) mask = COCOmask.decode(ann['segmentation']) == 1 inst_id = ann["id"] occlusion_val = ann["occlusion_val"] if area == 0: continue intersect_mask = np.logical_and((used > 0), mask) intersect = np.sum(intersect_mask) if intersect != 0: mask = np.logical_and(used==0, mask) intersect_ids = np.unique(used[intersect_mask]) for intersect_id in intersect_ids: id_area = np.sum(used==intersect_id) intersect_id_mask = np.logical_and((used == intersect_id), intersect_mask) intersect_id_area= np.sum(intersect_id_mask) val = occlusion_val[intersect_id-1] # calculate acc instance_id1 = id_to_instance_id[intersect_id] instance_id2 = ann["instance_id"] if (instance_id1, instance_id2) in target_relations: if not val: acc_num += 1 score_acc_num += 1 count += 1 elif (instance_id2, instance_id1) in target_relations: if val: acc_num += 1 count += 1 if intersect_id_area/area >= 0.2 or intersect_id_area/id_area >= 0.2: infer_count += 1 if val: mask[intersect_id_mask] = True if np.sum(mask)/area <= overlap_thr: continue segment_id = id_generator.get_id(ann['label']) pan_segm_id[mask] = segment_id used[mask] = inst_id id_to_instance_id[inst_id] = ann["instance_id"] return acc_num, score_acc_num, infer_count, count

38.297872

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null

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7

163bab7532266529f088a03b992dd01e00d03075

19,223

py

Python

tests/molecular/molecules/molecule/fixtures/cof/hexagonal.py

andrewtarzia/stk

1ac2ecbb5c9940fe49ce04cbf5603fd7538c475a

[ "MIT" ]

21

2018-04-12T16:25:24.000Z

2022-02-14T23:05:43.000Z

tests/molecular/molecules/molecule/fixtures/cof/hexagonal.py

JelfsMaterialsGroup/stk

0d3e1b0207aa6fa4d4d5ee8dfe3a29561abb08a2

[ "MIT" ]

8

2019-03-19T12:36:36.000Z

2020-11-11T12:46:00.000Z

tests/molecular/molecules/molecule/fixtures/cof/hexagonal.py

supramolecular-toolkit/stk

0d3e1b0207aa6fa4d4d5ee8dfe3a29561abb08a2

[ "MIT" ]

5

2018-08-07T13:00:16.000Z

2021-11-01T00:55:10.000Z

import pytest import stk from ...case_data import CaseData @pytest.fixture( scope='session', params=( lambda name: CaseData( molecule=stk.ConstructedMolecule( topology_graph=stk.cof.Hexagonal( building_blocks={ stk.BuildingBlock( smiles='BrC1=C(Br)[C+]=N1', functional_groups=[stk.BromoFactory()], ): ( 4, 5, 6, 7, 8, 9, 20, 21, 23, 24, 30, 36, 38, 40, 41, 42, 43, 46, 47, 52, 53, 60, 61, ), stk.BuildingBlock( smiles='BrN1N(Br)[C+]=N1', functional_groups=[stk.BromoFactory()], ): ( 10, 11, 12, 13, 14, 15, 22, 25, 26, 27, 28, 29, 37, 39, 44, 45, 54, 55, 56, 57, 58, 59, 31, 62, 63, ), stk.BuildingBlock( smiles=( 'Br[C+]1[C+]2[N+][C+2]C2(Br)[C+](I)[C+' '](I)[C+](Br)[C+]1Br' ), functional_groups=[ stk.BromoFactory(), stk.IodoFactory(), stk.FluoroFactory(), ], ): (0, 1, 18, 50, 51), stk.BuildingBlock( smiles=( 'Br[C+]1[C+]2[S][C+2]C2(Br)[C+](I)[C+]' '(I)[C+](Br)[C+]1Br' ), functional_groups=[ stk.BromoFactory(), stk.IodoFactory(), stk.FluoroFactory(), ], ): (2, 16, 34, 49), stk.BuildingBlock( smiles=( 'Br[C+]1[C+]2[S][O]C2(Br)[C+](I)[C+](I' ')[C+](Br)[C+]1Br' ), functional_groups=[ stk.BromoFactory(), stk.IodoFactory(), stk.FluoroFactory(), ], ): (3, 17, 19, 32, 33, 35, 48), }, lattice_size=(2, 2, 1), vertex_alignments={0: 5}, ), ), smiles=( 'BrC1=C([C+]2[C+](Br)[C+](I)[C+]3C4=C([C+]=N4)[C+]4[C+' '](Br)[C+](Br)[C+]5[C+]6N7N=[C+]N7C78OS[C+]7[C+]7C9=C(' '[C+]=N9)[C+]9[C+]([C+](Br)[C+](I)[C+]%10N%11N=[C+]N%1' '1[C+]%11[C+](Br)[C+](Br)[C+](I)[C+](N%12N=[C+]N%12Br)' 'C%12([C+2][NH2+][C+]%11%12)N%11[C+]=NN%11[C+]%11[C+](' 'I)[C+](C%12=C(Br)[C+]=N%12)C%12%13[C+2][NH2+][C+]%12[' 'C+](C%12=C(N=[C+]%12)[C+]7[C+]7[C+]%12[C+]8N8N=[C+]N8' '[C+]8[C+](C%14=C([C+]=N%14)C6%14OS[C+]4%14)[C+]4[C+]6' 'C%14=C(N=[C+]%14)[C+]%14[C+](C%15=C([C+]=N%15)[C+]2[C' '+]2SOC23N2N=[C+]N42)[C+]2S[C+2]C2(Br)[C+](N2N=[C+]N2B' 'r)[C+]2[C+]%14N3N=[C+]N3[C+]3[C+]4C%14=C(N=[C+]%14)[C' '+]%14[C+]([C+](Br)[C+](N%15N=[C+]N%15Br)[C+]%15C%16=C' '(N=[C+]%16)[C+]%16[C+](Br)[C+]%17[NH2+][C+2]C%17(C%17' '=C(Br)[C+]=N%17)[C+](N%17N=[C+]N%17Br)[C+](N%17N=[C+]' 'N%17Br)[C+]%16C%16=C([C+]=N%16)[C+]%16[C+](C%17=C(N=[' 'C+]%17)C%14%17[C+2][NH2+][C+]%15%17)[C+]%14C%15=C([C+' ']=N%15)C%15(OS[C+]4%15)[C+]4[C+]%15C%17=C(N=[C+]%17)[' 'C+]%17[C+]%18C%19=C(N=[C+]%19)[C+]%19[C+]([C+](C%20=C' '(Br)[C+]=N%20)[C+](C%20=C(Br)[C+]=N%20)[C+](C%20=C([C' '+]=N%20)[C+]%14[C+](N%14N=[C+]N%14Br)C%14(N%20N=[C+]N' '%20Br)[C+2]S[C+]%16%14)C%14(OS[C+]%19%14)N%14[C+]=NN4' '%14)N4N=[C+]N4[C+]4[C+]%14C%16=C(N=[C+]%16)C%16(OS[C+' ']%18%16)[C+]([C+]([C+]%17N%16[C+]=NN%16[C+]8C8([C+2][' 'NH2+][C+]68)N6N=[C+]N6[C+]%153)N3[C+]=NN%123)N3N=[C+]' 'N3[C+]3[C+]([C+](C6=C%13N=[C+]6)[C+](I)[C+](C6=C(Br)[' 'C+]=N6)C6(OS[C+]36)C3=C(N=[C+]3)[C+]%14[C+](I)[C+](N3' 'N=[C+]N3Br)C3(N6N=[C+]N6Br)[C+2]S[C+]43)N3[C+]=NN73)N' '3[C+]=NN23)[C+]%11N2[C+]=NN2C%102[C+2]S[C+]92)N2N=[C+' ']N52)N=[C+]1' ), name=name, ), # Non-planar linear BB. lambda name: CaseData( molecule=stk.ConstructedMolecule( topology_graph=stk.cof.Hexagonal( building_blocks=( stk.BuildingBlock( smiles='C1(C(C(C(C(C1Br)Br)Br)Br)Br)Br', functional_groups=[stk.BromoFactory()], ), stk.BuildingBlock( smiles='C1=C(Br)C=C2C=CC(Br)=CC2=C1CCCC', functional_groups=[stk.BromoFactory()], ), ), lattice_size=(2, 2, 1), ), ), smiles=( '[H]C1=C([H])C2=C([H])C(C3([H])C([H])(Br)C([H])(Br)C([' 'H])(Br)C4([H])C5=C([H])C6=C(C([H])([H])C([H])([H])C([' 'H])([H])C([H])([H])[H])C([H])=C(C([H])=C6C([H])=C5[H]' ')C5([H])C([H])(Br)C([H])(Br)C6([H])C7=C([H])C(C([H])(' '[H])C([H])([H])C([H])([H])C([H])([H])[H])=C8C([H])=C(' 'C([H])=C([H])C8=C7[H])C7([H])C([H])(Br)C([H])(Br)C8([' 'H])C9=C([H])C%10=C(C([H])([H])C([H])([H])C([H])([H])C' '([H])([H])[H])C([H])=C(C([H])=C%10C([H])=C9[H])C9([H]' ')C([H])(Br)C([H])(Br)C([H])(C%10=C([H])C(C([H])([H])C' '([H])([H])C([H])([H])C([H])([H])[H])=C%11C([H])=C(Br)' 'C([H])=C([H])C%11=C%10[H])C%10([H])C%11=C([H])C%12=C(' 'C([H])([H])C([H])([H])C([H])([H])C([H])([H])[H])C([H]' ')=C(C([H])=C%12C([H])=C%11[H])C%11([H])C([H])(Br)C([H' '])(C%12=C([H])C(C([H])([H])C([H])([H])C([H])([H])C([H' '])([H])[H])=C%13C([H])=C(Br)C([H])=C([H])C%13=C%12[H]' ')C%12([H])C%13=C([H])C(C([H])([H])C([H])([H])C([H])([' 'H])C([H])([H])[H])=C%14C([H])=C(C([H])=C([H])C%14=C%1' '3[H])C%13([H])C([H])(Br)C([H])(C%14=C([H])C(C([H])([H' '])C([H])([H])C([H])([H])C([H])([H])[H])=C%15C([H])=C(' 'Br)C([H])=C([H])C%15=C%14[H])C%14([H])C%15=C([H])C%16' '=C(C([H])([H])C([H])([H])C([H])([H])C([H])([H])[H])C(' '[H])=C(C([H])=C%16C([H])=C%15[H])C%15([H])C([H])(Br)C' '([H])(C%16=C([H])C(C([H])([H])C([H])([H])C([H])([H])C' '([H])([H])[H])=C%17C([H])=C(Br)C([H])=C([H])C%17=C%16' '[H])C([H])(C%16=C([H])C(C([H])([H])C([H])([H])C([H])(' '[H])C([H])([H])[H])=C%17C([H])=C(Br)C([H])=C([H])C%17' '=C%16[H])C([H])(C%16=C([H])C(C([H])([H])C([H])([H])C(' '[H])([H])C([H])([H])[H])=C%17C([H])=C(Br)C([H])=C([H]' ')C%17=C%16[H])C%15([H])C%15=C([H])C(C([H])([H])C([H])' '([H])C([H])([H])C([H])([H])[H])=C%16C([H])=C(C([H])=C' '([H])C%16=C%15[H])C%15([H])C%16([H])C%17=C([H])C%18=C' '(C([H])([H])C([H])([H])C([H])([H])C([H])([H])[H])C([H' '])=C(C([H])=C%18C([H])=C%17[H])C%14([H])C%13([H])C%13' '=C([H])C(C([H])([H])C([H])([H])C([H])([H])C([H])([H])' '[H])=C%14C([H])=C(C([H])=C([H])C%14=C%13[H])C%13([H])' 'C%14([H])C%17=C([H])C%18=C(C([H])([H])C([H])([H])C([H' '])([H])C([H])([H])[H])C([H])=C(C([H])=C%18C([H])=C%17' '[H])C%12([H])C%11([H])C%11=C([H])C(C([H])([H])C([H])(' '[H])C([H])([H])C([H])([H])[H])=C%12C([H])=C(C([H])=C(' '[H])C%12=C%11[H])C%11([H])C([H])(C%12=C([H])C%17=C(C(' '[H])([H])C([H])([H])C([H])([H])C([H])([H])[H])C([H])=' 'C(C([H])=C%17C([H])=C%12[H])C9%10[H])C9([H])C%10=C([H' '])C(C([H])([H])C([H])([H])C([H])([H])C([H])([H])[H])=' 'C%12C([H])=C(C([H])=C([H])C%12=C%10[H])C8([H])C7([H])' 'C7=C([H])C(C([H])([H])C([H])([H])C([H])([H])C([H])([H' '])[H])=C8C([H])=C(C([H])=C([H])C8=C7[H])C7([H])C8([H]' ')C%10=C([H])C(C([H])([H])C([H])([H])C([H])([H])C([H])' '([H])[H])=C%12C([H])=C(C([H])=C([H])C%12=C%10[H])C6([' 'H])C5([H])C5=C([H])C(C([H])([H])C([H])([H])C([H])([H]' ')C([H])([H])[H])=C6C([H])=C(C([H])=C([H])C6=C5[H])C5(' '[H])C([H])(C6=C([H])C(C([H])([H])C([H])([H])C([H])([H' '])C([H])([H])[H])=C%10C([H])=C(C([H])=C([H])C%10=C6[H' '])C43[H])C([H])(Br)C([H])(C3=C([H])C(C([H])([H])C([H]' ')([H])C([H])([H])C([H])([H])[H])=C4C([H])=C(Br)C([H])' '=C([H])C4=C3[H])C3([H])C4=C([H])C(C([H])([H])C([H])([' 'H])C([H])([H])C([H])([H])[H])=C6C([H])=C(C([H])=C([H]' ')C6=C4[H])C4([H])C([H])(Br)C([H])(C6=C([H])C(C([H])([' 'H])C([H])([H])C([H])([H])C([H])([H])[H])=C%10C([H])=C' '(Br)C([H])=C([H])C%10=C6[H])C6([H])C%10=C([H])C%12=C(' 'C([H])([H])C([H])([H])C([H])([H])C([H])([H])[H])C([H]' ')=C(C([H])=C%12C([H])=C%10[H])C%10([H])C([H])(Br)C([H' '])(C%12=C([H])C(C([H])([H])C([H])([H])C([H])([H])C([H' '])([H])[H])=C%17C([H])=C(Br)C([H])=C([H])C%17=C%12[H]' ')C([H])(C%12=C([H])C(C([H])([H])C([H])([H])C([H])([H]' ')C([H])([H])[H])=C%17C([H])=C(Br)C([H])=C([H])C%17=C%' '12[H])C%12([H])C%17=C([H])C%18=C(C([H])([H])C([H])([H' '])C([H])([H])C([H])([H])[H])C([H])=C(C([H])=C%18C([H]' ')=C%17[H])C%17([H])C%18([H])C%19=C([H])C(C([H])([H])C' '([H])([H])C([H])([H])C([H])([H])[H])=C%20C([H])=C(C([' 'H])=C([H])C%20=C%19[H])C%19([H])C%20([H])C%21=C([H])C' '(C([H])([H])C([H])([H])C([H])([H])C([H])([H])[H])=C%2' '2C([H])=C(C([H])=C([H])C%22=C%21[H])C([H])(C%14([H])C' '%14=C([H])C%21=C(C([H])([H])C([H])([H])C([H])([H])C([' 'H])([H])[H])C([H])=C(C([H])=C%21C([H])=C%14[H])C%11([' 'H])C%11([H])C%14=C([H])C(C([H])([H])C([H])([H])C([H])' '([H])C([H])([H])[H])=C%21C([H])=C(C([H])=C([H])C%21=C' '%14[H])C%20([H])C%14([H])C%20=C([H])C%21=C(C([H])([H]' ')C([H])([H])C([H])([H])C([H])([H])[H])C([H])=C(C([H])' '=C%21C([H])=C%20[H])C([H])(C7([H])C7=C([H])C(C([H])([' 'H])C([H])([H])C([H])([H])C([H])([H])[H])=C%20C([H])=C' '(C([H])=C([H])C%20=C7[H])C9%11[H])C([H])(C7=C([H])C(C' '([H])([H])C([H])([H])C([H])([H])C([H])([H])[H])=C9C([' 'H])=C(C([H])=C([H])C9=C7[H])C4([H])C6([H])C4=C([H])C6' '=C(C([H])([H])C([H])([H])C([H])([H])C([H])([H])[H])C(' '[H])=C(C([H])=C6C([H])=C4[H])C%14([H])C%19([H])C4=C([' 'H])C(C([H])([H])C([H])([H])C([H])([H])C([H])([H])[H])' '=C6C([H])=C(C([H])=C([H])C6=C4[H])C%10%12[H])C8([H])C' '4=C([H])C(C([H])([H])C([H])([H])C([H])([H])C([H])([H]' ')[H])=C6C([H])=C(C([H])=C([H])C6=C4[H])C53[H])C3([H])' 'C4=C([H])C(C([H])([H])C([H])([H])C([H])([H])C([H])([H' '])[H])=C5C([H])=C(C([H])=C([H])C5=C4[H])C%18([H])C([H' '])(C4=C([H])C(C([H])([H])C([H])([H])C([H])([H])C([H])' '([H])[H])=C5C([H])=C(C([H])=C([H])C5=C4[H])C([H])(C%1' '6([H])C4=C([H])C(C([H])([H])C([H])([H])C([H])([H])C([' 'H])([H])[H])=C5C([H])=C(C([H])=C([H])C5=C4[H])C%133[H' '])C([H])(C3=C([H])C(C([H])([H])C([H])([H])C([H])([H])' 'C([H])([H])[H])=C4C([H])=C(Br)C([H])=C([H])C4=C3[H])C' '%15([H])C3=C([H])C(C([H])([H])C([H])([H])C([H])([H])C' '([H])([H])[H])=C4C([H])=C(Br)C([H])=C([H])C4=C3[H])C(' '[H])(C3=C([H])C(C([H])([H])C([H])([H])C([H])([H])C([H' '])([H])[H])=C4C([H])=C(Br)C([H])=C([H])C4=C3[H])C%17(' '[H])C3=C([H])C(C([H])([H])C([H])([H])C([H])([H])C([H]' ')([H])[H])=C4C([H])=C(Br)C([H])=C([H])C4=C3[H])=C([H]' ')C(C([H])([H])C([H])([H])C([H])([H])C([H])([H])[H])=C' '2C([H])=C1Br' ), name=name, ), # One placer atom linear BB. lambda name: CaseData( molecule=stk.ConstructedMolecule( topology_graph=stk.cof.Hexagonal( building_blocks=( stk.BuildingBlock( smiles='C1(C(C(C(C(C1Br)Br)Br)Br)Br)Br', functional_groups=[stk.BromoFactory()], ), stk.BuildingBlock( smiles='C(Br)Br', functional_groups=[stk.BromoFactory()], ), ), lattice_size=(2, 2, 1), ), ), smiles=( '[H]C([H])(Br)C1([H])C([H])(Br)C2([H])C([H])([H])C3([H' '])C([H])(C([H])([H])Br)C([H])(Br)C4([H])C([H])([H])C5' '([H])C([H])(C([H])([H])Br)C([H])(Br)C6([H])C([H])([H]' ')C7([H])C([H])(C([H])([H])Br)C([H])(Br)C([H])(Br)C8([' 'H])C([H])([H])C9([H])C([H])(Br)C([H])(Br)C%10([H])C([' 'H])([H])C%11([H])C([H])(Br)C([H])(Br)C%12([H])C([H])(' '[H])C%13([H])C([H])(Br)C([H])(Br)C([H])(Br)C([H])(C([' 'H])([H])Br)C%13([H])C([H])([H])C%13([H])C([H])(Br)C([' 'H])(C([H])([H])Br)C%14([H])C([H])([H])C%15([H])C([H])' '(Br)C([H])(C([H])([H])Br)C%16([H])C([H])([H])C%17([H]' ')C([H])(Br)C([H])(C([H])([H])Br)C([H])(C([H])([H])Br)' 'C%18([H])C([H])([H])C%19([H])C([H])(C([H])([H])Br)C([' 'H])(C([H])([H])Br)C%20([H])C([H])([H])C%21([H])C([H])' '(C([H])([H])Br)C([H])(C([H])([H])Br)C([H])(C([H])([H]' ')C2([H])C([H])(C([H])([H])Br)C1([H])C([H])([H])Br)C1(' '[H])C([H])([H])C3([H])C4([H])C([H])([H])C2([H])C3([H]' ')C([H])([H])C5([H])C6([H])C([H])([H])C4([H])C([H])(C(' '[H])([H])C87[H])C5([H])C([H])([H])C9([H])C%10([H])C([' 'H])([H])C6([H])C7([H])C([H])([H])C%11([H])C%12([H])C(' '[H])([H])C%13([H])C%14([H])C([H])([H])C7([H])C7([H])C' '([H])([H])C%15([H])C%16([H])C([H])([H])C8([H])C([H])(' 'C([H])([H])C%17%18[H])C9([H])C([H])([H])C%19([H])C%20' '([H])C([H])([H])C([H])(C2([H])C([H])([H])C%211[H])C1(' '[H])C([H])([H])C9([H])C2([H])C([H])([H])C([H])(C5([H]' ')C([H])([H])C6([H])C7([H])C([H])([H])C82[H])C4([H])C(' '[H])([H])C31[H]' ), name=name, ), # Two placer atom linear BB. lambda name: CaseData( molecule=stk.ConstructedMolecule( topology_graph=stk.cof.Hexagonal( building_blocks=( stk.BuildingBlock( smiles='C1(C(C(C(C(C1Br)Br)Br)Br)Br)Br', functional_groups=[stk.BromoFactory()], ), stk.BuildingBlock( smiles='BrCCBr', functional_groups=[stk.BromoFactory()], ), ), lattice_size=(2, 2, 1), ), ), smiles=( '[H]C([H])(Br)C([H])([H])C1([H])C([H])(Br)C([H])(Br)C(' '[H])(Br)C2([H])C([H])([H])C([H])([H])C3([H])C([H])(Br' ')C([H])(Br)C4([H])C([H])([H])C([H])([H])C5([H])C([H])' '(Br)C([H])(Br)C6([H])C([H])([H])C([H])([H])C7([H])C([' 'H])(Br)C([H])(Br)C([H])(C([H])([H])C([H])([H])Br)C8([' 'H])C([H])([H])C([H])([H])C9([H])C([H])(Br)C([H])(C([H' '])([H])C([H])([H])Br)C%10([H])C([H])([H])C([H])([H])C' '%11([H])C([H])(Br)C([H])(C([H])([H])C([H])([H])Br)C%1' '2([H])C([H])([H])C([H])([H])C%13([H])C([H])(Br)C([H])' '(C([H])([H])C([H])([H])Br)C([H])(C([H])([H])C([H])([H' '])Br)C([H])(C([H])([H])C([H])([H])Br)C%13([H])C([H])(' '[H])C([H])([H])C%13([H])C([H])(C([H])([H])C([H])([H])' 'Br)C([H])(C([H])([H])C([H])([H])Br)C%14([H])C([H])([H' '])C([H])([H])C%15([H])C([H])(C([H])([H])C([H])([H])Br' ')C([H])(C([H])([H])C([H])([H])Br)C%16([H])C([H])([H])' 'C([H])([H])C%17([H])C([H])(C([H])([H])C([H])([H])Br)C' '([H])(C([H])([H])C([H])([H])Br)C([H])(Br)C%18([H])C([' 'H])([H])C([H])([H])C%19([H])C([H])(C([H])([H])C([H])(' '[H])Br)C([H])(Br)C%20([H])C([H])([H])C([H])([H])C%21(' '[H])C([H])(C([H])([H])C([H])([H])Br)C([H])(Br)C([H])(' 'C([H])([H])C([H])([H])C12[H])C1([H])C([H])([H])C([H])' '([H])C3([H])C4([H])C([H])([H])C([H])([H])C2([H])C3([H' '])C([H])([H])C([H])([H])C5([H])C6([H])C([H])([H])C([H' '])([H])C4([H])C([H])(C([H])([H])C([H])([H])C78[H])C5(' '[H])C([H])([H])C([H])([H])C9([H])C%10([H])C([H])([H])' 'C([H])([H])C6([H])C7([H])C([H])([H])C([H])([H])C%11([' 'H])C%12([H])C([H])([H])C([H])([H])C%13([H])C%14([H])C' '([H])([H])C([H])([H])C7([H])C7([H])C([H])([H])C([H])(' '[H])C%15([H])C%16([H])C([H])([H])C([H])([H])C8([H])C(' '[H])(C([H])([H])C([H])([H])C%18%17[H])C9([H])C([H])([' 'H])C([H])([H])C%19([H])C%20([H])C([H])([H])C([H])([H]' ')C([H])(C2([H])C([H])([H])C([H])([H])C%211[H])C1([H])' 'C([H])([H])C([H])([H])C9([H])C2([H])C([H])([H])C([H])' '([H])C([H])(C4([H])C([H])([H])C([H])([H])C31[H])C5([H' '])C([H])([H])C([H])([H])C6([H])C7([H])C([H])([H])C([H' '])([H])C82[H]' ), name=name, ), ), ) def cof_hexagonal(request) -> CaseData: return request.param( f'{request.fixturename}{request.param_index}', )

57.21131

71

0.288821

3,441

19,223

1.605638

0.062482

0.232398

0.211765

0.206335

0.805611

0.774118

0.748778

0.716923

0.687602

0.660271

0

0.082921

0.327472

19,223

335

72

57.38209

0.344446

0.003902

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0.322188

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0.601824

0.554116

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false

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0.009119

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1

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0

1

0

1

null

0

12

165ec793228e3706f5d2ae6985104660e7099965

49

py

Python

TrainingRestnet18withTinyImagenetDataset/poc/__init__.py

csharpshooter/DeepLearning

c1d20660c32076468970f7376931e1fcd0d2644e

[ "MIT" ]

null

TrainingRestnet18withTinyImagenetDataset/poc/__init__.py

csharpshooter/DeepLearning

c1d20660c32076468970f7376931e1fcd0d2644e

[ "MIT" ]

null

TrainingRestnet18withTinyImagenetDataset/poc/__init__.py

csharpshooter/DeepLearning

c1d20660c32076468970f7376931e1fcd0d2644e

[ "MIT" ]

null

from .gradcamexperiment import GradcamExperiment

24.5

48

0.897959

4

49

11

0.75

0

0.081633

49

1

49

0.977778

0

1

0

true

0

1

0

1

0

1

null

0

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null

0

1

0

1

0

1

0

7

1697a017dd9e7919e85fc241ac948825642e4755

9,471

py

Python

pepper_tools/laser/getlaser.py

pet1330/spqrel_tools

e8e3b771680acf1f60260d1c4ced757a78d648b5

[ "MIT" ]

null

pepper_tools/laser/getlaser.py

pet1330/spqrel_tools

e8e3b771680acf1f60260d1c4ced757a78d648b5

[ "MIT" ]

null

pepper_tools/laser/getlaser.py

pet1330/spqrel_tools

e8e3b771680acf1f60260d1c4ced757a78d648b5

[ "MIT" ]

null

#http://doc.aldebaran.com/2-5/naoqi/core/almemory-api.html #http://doc.aldebaran.com/2-5/family/pepper_technical/pepper_dcm/actuator_sensor_names.html#ju-lasers import qi import argparse import sys import time import threading import os laserValueList = [ # RIGHT LASER "Device/SubDeviceList/Platform/LaserSensor/Right/Horizontal/Seg01/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Right/Horizontal/Seg01/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Right/Horizontal/Seg02/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Right/Horizontal/Seg02/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Right/Horizontal/Seg03/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Right/Horizontal/Seg03/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Right/Horizontal/Seg04/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Right/Horizontal/Seg04/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Right/Horizontal/Seg05/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Right/Horizontal/Seg05/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Right/Horizontal/Seg06/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Right/Horizontal/Seg06/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Right/Horizontal/Seg07/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Right/Horizontal/Seg07/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Right/Horizontal/Seg08/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Right/Horizontal/Seg08/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Right/Horizontal/Seg09/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Right/Horizontal/Seg09/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Right/Horizontal/Seg10/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Right/Horizontal/Seg10/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Right/Horizontal/Seg11/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Right/Horizontal/Seg11/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Right/Horizontal/Seg12/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Right/Horizontal/Seg12/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Right/Horizontal/Seg13/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Right/Horizontal/Seg13/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Right/Horizontal/Seg14/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Right/Horizontal/Seg14/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Right/Horizontal/Seg15/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Right/Horizontal/Seg15/Y/Sensor/Value", # FRONT LASER "Device/SubDeviceList/Platform/LaserSensor/Front/Horizontal/Seg01/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Front/Horizontal/Seg01/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Front/Horizontal/Seg02/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Front/Horizontal/Seg02/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Front/Horizontal/Seg03/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Front/Horizontal/Seg03/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Front/Horizontal/Seg04/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Front/Horizontal/Seg04/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Front/Horizontal/Seg05/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Front/Horizontal/Seg05/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Front/Horizontal/Seg06/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Front/Horizontal/Seg06/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Front/Horizontal/Seg07/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Front/Horizontal/Seg07/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Front/Horizontal/Seg08/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Front/Horizontal/Seg08/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Front/Horizontal/Seg09/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Front/Horizontal/Seg09/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Front/Horizontal/Seg10/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Front/Horizontal/Seg10/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Front/Horizontal/Seg11/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Front/Horizontal/Seg11/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Front/Horizontal/Seg12/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Front/Horizontal/Seg12/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Front/Horizontal/Seg13/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Front/Horizontal/Seg13/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Front/Horizontal/Seg14/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Front/Horizontal/Seg14/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Front/Horizontal/Seg15/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Front/Horizontal/Seg15/Y/Sensor/Value", # LEFT LASER "Device/SubDeviceList/Platform/LaserSensor/Left/Horizontal/Seg01/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Left/Horizontal/Seg01/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Left/Horizontal/Seg02/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Left/Horizontal/Seg02/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Left/Horizontal/Seg03/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Left/Horizontal/Seg03/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Left/Horizontal/Seg04/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Left/Horizontal/Seg04/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Left/Horizontal/Seg05/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Left/Horizontal/Seg05/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Left/Horizontal/Seg06/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Left/Horizontal/Seg06/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Left/Horizontal/Seg07/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Left/Horizontal/Seg07/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Left/Horizontal/Seg08/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Left/Horizontal/Seg08/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Left/Horizontal/Seg09/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Left/Horizontal/Seg09/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Left/Horizontal/Seg10/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Left/Horizontal/Seg10/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Left/Horizontal/Seg11/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Left/Horizontal/Seg11/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Left/Horizontal/Seg12/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Left/Horizontal/Seg12/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Left/Horizontal/Seg13/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Left/Horizontal/Seg13/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Left/Horizontal/Seg14/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Left/Horizontal/Seg14/Y/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Left/Horizontal/Seg15/X/Sensor/Value", "Device/SubDeviceList/Platform/LaserSensor/Left/Horizontal/Seg15/Y/Sensor/Value" ] import threading def rhMonitorThread (memory_service): t = threading.currentThread() while getattr(t, "do_run", True): laserValues = memory_service.getListData(laserValueList) print laserValues[44],laserValues[45] time.sleep(0.1) print "Exiting Thread" def main(): parser = argparse.ArgumentParser() parser.add_argument("--pip", type=str, default=os.environ['PEPPER_IP'], help="Robot IP address. On robot or Local Naoqi: use '127.0.0.1'.") parser.add_argument("--pport", type=int, default=9559, help="Naoqi port number") args = parser.parse_args() pip = args.pip pport = args.pport #Starting application try: connection_url = "tcp://" + pip + ":" + str(pport) app = qi.Application(["laserReader", "--qi-url=" + connection_url ]) except RuntimeError: print ("Can't connect to Naoqi at ip \"" + pip + "\" on port " + str(pport) +".\n" "Please check your script arguments. Run with -h option for help.") sys.exit(1) app.start() session = app.session #Starting services memory_service = session.service("ALMemory") #create a thead that monitors directly the signal monitorThread = threading.Thread(target = rhMonitorThread, args = (memory_service,)) monitorThread.start() #Program stays at this point until we stop it app.run() monitorThread.do_run = False print "Finished" if __name__ == "__main__": main()

60.324841

101

0.788829

1,129

9,471

6.596103

0.134632

0.229623

0.326306

0.459245

0.849604

0.842755

0.837116

0.819927

0

0.022909

0.073593

9,471

156

102

60.711538

0.825849

0.033787

0

0.015152

0

0.805601

0.774532

0

1

0

null

0

0.05303

null

0.030303

0

null

1

0

1

null

1

0

1

0

12

16a3376e9b268d8a3291ecc0ea4e10ac21b476e6

156,887

py

Python

src/plugins/nat/test/test_nat44_ei.py

aliireza/vpp

bf93c6e9bf340e323157ca2b4ffa8e83a36e5108

[ "Apache-2.0" ]

1

2021-08-11T07:23:32.000Z

src/plugins/nat/test/test_nat44_ei.py

aliireza/vpp

bf93c6e9bf340e323157ca2b4ffa8e83a36e5108

[ "Apache-2.0" ]

null

src/plugins/nat/test/test_nat44_ei.py

aliireza/vpp

bf93c6e9bf340e323157ca2b4ffa8e83a36e5108

[ "Apache-2.0" ]

1

2020-03-19T05:02:29.000Z

#!/usr/bin/env python3 import ipaddress import random import socket import struct import unittest from io import BytesIO from time import sleep import scapy.compat from framework import VppTestCase, VppTestRunner from ipfix import IPFIX, Set, Template, Data, IPFIXDecoder from scapy.all import bind_layers, Packet, ByteEnumField, ShortField, \ IPField, IntField, LongField, XByteField, FlagsField, FieldLenField, \ PacketListField from scapy.data import IP_PROTOS from scapy.layers.inet import IP, TCP, UDP, ICMP from scapy.layers.inet import IPerror, TCPerror, UDPerror, ICMPerror from scapy.layers.inet6 import IPv6, ICMPv6EchoRequest, ICMPv6EchoReply from scapy.layers.l2 import Ether, ARP, GRE from scapy.packet import Raw from syslog_rfc5424_parser import SyslogMessage, ParseError from syslog_rfc5424_parser.constants import SyslogSeverity from util import ppp from vpp_ip_route import VppIpRoute, VppRoutePath from vpp_neighbor import VppNeighbor from vpp_papi import VppEnum # NAT HA protocol event data class Event(Packet): name = "Event" fields_desc = [ByteEnumField("event_type", None, {1: "add", 2: "del", 3: "refresh"}), ByteEnumField("protocol", None, {0: "other", 1: "udp", 2: "tcp", 3: "icmp"}), ShortField("flags", 0), IPField("in_addr", None), IPField("out_addr", None), ShortField("in_port", None), ShortField("out_port", None), IPField("eh_addr", None), IPField("ehn_addr", None), ShortField("eh_port", None), ShortField("ehn_port", None), IntField("fib_index", None), IntField("total_pkts", 0), LongField("total_bytes", 0)] def extract_padding(self, s): return "", s # NAT HA protocol header class HANATStateSync(Packet): name = "HA NAT state sync" fields_desc = [XByteField("version", 1), FlagsField("flags", 0, 8, ['ACK']), FieldLenField("count", None, count_of="events"), IntField("sequence_number", 1), IntField("thread_index", 0), PacketListField("events", [], Event, count_from=lambda pkt: pkt.count)] class MethodHolder(VppTestCase): """ NAT create capture and verify method holder """ @property def config_flags(self): return VppEnum.vl_api_nat_config_flags_t @property def nat44_config_flags(self): return VppEnum.vl_api_nat44_config_flags_t @property def SYSLOG_SEVERITY(self): return VppEnum.vl_api_syslog_severity_t def nat44_add_static_mapping(self, local_ip, external_ip='0.0.0.0', local_port=0, external_port=0, vrf_id=0, is_add=1, external_sw_if_index=0xFFFFFFFF, proto=0, tag="", flags=0): """ Add/delete NAT44EI static mapping :param local_ip: Local IP address :param external_ip: External IP address :param local_port: Local port number (Optional) :param external_port: External port number (Optional) :param vrf_id: VRF ID (Default 0) :param is_add: 1 if add, 0 if delete (Default add) :param external_sw_if_index: External interface instead of IP address :param proto: IP protocol (Mandatory if port specified) :param tag: Opaque string tag :param flags: NAT configuration flags """ if not (local_port and external_port): flags |= self.config_flags.NAT_IS_ADDR_ONLY self.vapi.nat44_add_del_static_mapping( is_add=is_add, local_ip_address=local_ip, external_ip_address=external_ip, external_sw_if_index=external_sw_if_index, local_port=local_port, external_port=external_port, vrf_id=vrf_id, protocol=proto, flags=flags, tag=tag) def nat44_add_address(self, ip, is_add=1, vrf_id=0xFFFFFFFF, twice_nat=0): """ Add/delete NAT44EI address :param ip: IP address :param is_add: 1 if add, 0 if delete (Default add) :param twice_nat: twice NAT address for external hosts """ flags = self.config_flags.NAT_IS_TWICE_NAT if twice_nat else 0 self.vapi.nat44_add_del_address_range(first_ip_address=ip, last_ip_address=ip, vrf_id=vrf_id, is_add=is_add, flags=flags) def create_routes_and_neigbors(self): r1 = VppIpRoute(self, self.pg7.remote_ip4, 32, [VppRoutePath(self.pg7.remote_ip4, self.pg7.sw_if_index)]) r2 = VppIpRoute(self, self.pg8.remote_ip4, 32, [VppRoutePath(self.pg8.remote_ip4, self.pg8.sw_if_index)]) r1.add_vpp_config() r2.add_vpp_config() n1 = VppNeighbor(self, self.pg7.sw_if_index, self.pg7.remote_mac, self.pg7.remote_ip4, is_static=1) n2 = VppNeighbor(self, self.pg8.sw_if_index, self.pg8.remote_mac, self.pg8.remote_ip4, is_static=1) n1.add_vpp_config() n2.add_vpp_config() def create_stream_in(self, in_if, out_if, dst_ip=None, ttl=64): """ Create packet stream for inside network :param in_if: Inside interface :param out_if: Outside interface :param dst_ip: Destination address :param ttl: TTL of generated packets """ if dst_ip is None: dst_ip = out_if.remote_ip4 pkts = [] # TCP p = (Ether(dst=in_if.local_mac, src=in_if.remote_mac) / IP(src=in_if.remote_ip4, dst=dst_ip, ttl=ttl) / TCP(sport=self.tcp_port_in, dport=20)) pkts.extend([p, p]) # UDP p = (Ether(dst=in_if.local_mac, src=in_if.remote_mac) / IP(src=in_if.remote_ip4, dst=dst_ip, ttl=ttl) / UDP(sport=self.udp_port_in, dport=20)) pkts.append(p) # ICMP p = (Ether(dst=in_if.local_mac, src=in_if.remote_mac) / IP(src=in_if.remote_ip4, dst=dst_ip, ttl=ttl) / ICMP(id=self.icmp_id_in, type='echo-request')) pkts.append(p) return pkts def compose_ip6(self, ip4, pref, plen): """ Compose IPv4-embedded IPv6 addresses :param ip4: IPv4 address :param pref: IPv6 prefix :param plen: IPv6 prefix length :returns: IPv4-embedded IPv6 addresses """ pref_n = list(socket.inet_pton(socket.AF_INET6, pref)) ip4_n = list(socket.inet_pton(socket.AF_INET, ip4)) if plen == 32: pref_n[4] = ip4_n[0] pref_n[5] = ip4_n[1] pref_n[6] = ip4_n[2] pref_n[7] = ip4_n[3] elif plen == 40: pref_n[5] = ip4_n[0] pref_n[6] = ip4_n[1] pref_n[7] = ip4_n[2] pref_n[9] = ip4_n[3] elif plen == 48: pref_n[6] = ip4_n[0] pref_n[7] = ip4_n[1] pref_n[9] = ip4_n[2] pref_n[10] = ip4_n[3] elif plen == 56: pref_n[7] = ip4_n[0] pref_n[9] = ip4_n[1] pref_n[10] = ip4_n[2] pref_n[11] = ip4_n[3] elif plen == 64: pref_n[9] = ip4_n[0] pref_n[10] = ip4_n[1] pref_n[11] = ip4_n[2] pref_n[12] = ip4_n[3] elif plen == 96: pref_n[12] = ip4_n[0] pref_n[13] = ip4_n[1] pref_n[14] = ip4_n[2] pref_n[15] = ip4_n[3] packed_pref_n = b''.join([scapy.compat.chb(x) for x in pref_n]) return socket.inet_ntop(socket.AF_INET6, packed_pref_n) def create_stream_out(self, out_if, dst_ip=None, ttl=64, use_inside_ports=False): """ Create packet stream for outside network :param out_if: Outside interface :param dst_ip: Destination IP address (Default use global NAT address) :param ttl: TTL of generated packets :param use_inside_ports: Use inside NAT ports as destination ports instead of outside ports """ if dst_ip is None: dst_ip = self.nat_addr if not use_inside_ports: tcp_port = self.tcp_port_out udp_port = self.udp_port_out icmp_id = self.icmp_id_out else: tcp_port = self.tcp_port_in udp_port = self.udp_port_in icmp_id = self.icmp_id_in pkts = [] # TCP p = (Ether(dst=out_if.local_mac, src=out_if.remote_mac) / IP(src=out_if.remote_ip4, dst=dst_ip, ttl=ttl) / TCP(dport=tcp_port, sport=20)) pkts.extend([p, p]) # UDP p = (Ether(dst=out_if.local_mac, src=out_if.remote_mac) / IP(src=out_if.remote_ip4, dst=dst_ip, ttl=ttl) / UDP(dport=udp_port, sport=20)) pkts.append(p) # ICMP p = (Ether(dst=out_if.local_mac, src=out_if.remote_mac) / IP(src=out_if.remote_ip4, dst=dst_ip, ttl=ttl) / ICMP(id=icmp_id, type='echo-reply')) pkts.append(p) return pkts def create_stream_out_ip6(self, out_if, src_ip, dst_ip, hl=64): """ Create packet stream for outside network :param out_if: Outside interface :param dst_ip: Destination IP address (Default use global NAT address) :param hl: HL of generated packets """ pkts = [] # TCP p = (Ether(dst=out_if.local_mac, src=out_if.remote_mac) / IPv6(src=src_ip, dst=dst_ip, hlim=hl) / TCP(dport=self.tcp_port_out, sport=20)) pkts.append(p) # UDP p = (Ether(dst=out_if.local_mac, src=out_if.remote_mac) / IPv6(src=src_ip, dst=dst_ip, hlim=hl) / UDP(dport=self.udp_port_out, sport=20)) pkts.append(p) # ICMP p = (Ether(dst=out_if.local_mac, src=out_if.remote_mac) / IPv6(src=src_ip, dst=dst_ip, hlim=hl) / ICMPv6EchoReply(id=self.icmp_id_out)) pkts.append(p) return pkts def verify_capture_out(self, capture, nat_ip=None, same_port=False, dst_ip=None, is_ip6=False, ignore_port=False): """ Verify captured packets on outside network :param capture: Captured packets :param nat_ip: Translated IP address (Default use global NAT address) :param same_port: Source port number is not translated (Default False) :param dst_ip: Destination IP address (Default do not verify) :param is_ip6: If L3 protocol is IPv6 (Default False) """ if is_ip6: IP46 = IPv6 ICMP46 = ICMPv6EchoRequest else: IP46 = IP ICMP46 = ICMP if nat_ip is None: nat_ip = self.nat_addr for packet in capture: try: if not is_ip6: self.assert_packet_checksums_valid(packet) self.assertEqual(packet[IP46].src, nat_ip) if dst_ip is not None: self.assertEqual(packet[IP46].dst, dst_ip) if packet.haslayer(TCP): if not ignore_port: if same_port: self.assertEqual( packet[TCP].sport, self.tcp_port_in) else: self.assertNotEqual( packet[TCP].sport, self.tcp_port_in) self.tcp_port_out = packet[TCP].sport self.assert_packet_checksums_valid(packet) elif packet.haslayer(UDP): if not ignore_port: if same_port: self.assertEqual( packet[UDP].sport, self.udp_port_in) else: self.assertNotEqual( packet[UDP].sport, self.udp_port_in) self.udp_port_out = packet[UDP].sport else: if not ignore_port: if same_port: self.assertEqual( packet[ICMP46].id, self.icmp_id_in) else: self.assertNotEqual( packet[ICMP46].id, self.icmp_id_in) self.icmp_id_out = packet[ICMP46].id self.assert_packet_checksums_valid(packet) except: self.logger.error(ppp("Unexpected or invalid packet " "(outside network):", packet)) raise def verify_capture_out_ip6(self, capture, nat_ip, same_port=False, dst_ip=None): """ Verify captured packets on outside network :param capture: Captured packets :param nat_ip: Translated IP address :param same_port: Source port number is not translated (Default False) :param dst_ip: Destination IP address (Default do not verify) """ return self.verify_capture_out(capture, nat_ip, same_port, dst_ip, True) def verify_capture_in(self, capture, in_if): """ Verify captured packets on inside network :param capture: Captured packets :param in_if: Inside interface """ for packet in capture: try: self.assert_packet_checksums_valid(packet) self.assertEqual(packet[IP].dst, in_if.remote_ip4) if packet.haslayer(TCP): self.assertEqual(packet[TCP].dport, self.tcp_port_in) elif packet.haslayer(UDP): self.assertEqual(packet[UDP].dport, self.udp_port_in) else: self.assertEqual(packet[ICMP].id, self.icmp_id_in) except: self.logger.error(ppp("Unexpected or invalid packet " "(inside network):", packet)) raise def verify_capture_no_translation(self, capture, ingress_if, egress_if): """ Verify captured packet that don't have to be translated :param capture: Captured packets :param ingress_if: Ingress interface :param egress_if: Egress interface """ for packet in capture: try: self.assertEqual(packet[IP].src, ingress_if.remote_ip4) self.assertEqual(packet[IP].dst, egress_if.remote_ip4) if packet.haslayer(TCP): self.assertEqual(packet[TCP].sport, self.tcp_port_in) elif packet.haslayer(UDP): self.assertEqual(packet[UDP].sport, self.udp_port_in) else: self.assertEqual(packet[ICMP].id, self.icmp_id_in) except: self.logger.error(ppp("Unexpected or invalid packet " "(inside network):", packet)) raise def verify_capture_out_with_icmp_errors(self, capture, src_ip=None, icmp_type=11): """ Verify captured packets with ICMP errors on outside network :param capture: Captured packets :param src_ip: Translated IP address or IP address of VPP (Default use global NAT address) :param icmp_type: Type of error ICMP packet we are expecting (Default 11) """ if src_ip is None: src_ip = self.nat_addr for packet in capture: try: self.assertEqual(packet[IP].src, src_ip) self.assertEqual(packet.haslayer(ICMP), 1) icmp = packet[ICMP] self.assertEqual(icmp.type, icmp_type) self.assertTrue(icmp.haslayer(IPerror)) inner_ip = icmp[IPerror] if inner_ip.haslayer(TCPerror): self.assertEqual(inner_ip[TCPerror].dport, self.tcp_port_out) elif inner_ip.haslayer(UDPerror): self.assertEqual(inner_ip[UDPerror].dport, self.udp_port_out) else: self.assertEqual(inner_ip[ICMPerror].id, self.icmp_id_out) except: self.logger.error(ppp("Unexpected or invalid packet " "(outside network):", packet)) raise def verify_capture_in_with_icmp_errors(self, capture, in_if, icmp_type=11): """ Verify captured packets with ICMP errors on inside network :param capture: Captured packets :param in_if: Inside interface :param icmp_type: Type of error ICMP packet we are expecting (Default 11) """ for packet in capture: try: self.assertEqual(packet[IP].dst, in_if.remote_ip4) self.assertEqual(packet.haslayer(ICMP), 1) icmp = packet[ICMP] self.assertEqual(icmp.type, icmp_type) self.assertTrue(icmp.haslayer(IPerror)) inner_ip = icmp[IPerror] if inner_ip.haslayer(TCPerror): self.assertEqual(inner_ip[TCPerror].sport, self.tcp_port_in) elif inner_ip.haslayer(UDPerror): self.assertEqual(inner_ip[UDPerror].sport, self.udp_port_in) else: self.assertEqual(inner_ip[ICMPerror].id, self.icmp_id_in) except: self.logger.error(ppp("Unexpected or invalid packet " "(inside network):", packet)) raise def create_stream_frag(self, src_if, dst, sport, dport, data, proto=IP_PROTOS.tcp, echo_reply=False): """ Create fragmented packet stream :param src_if: Source interface :param dst: Destination IPv4 address :param sport: Source port :param dport: Destination port :param data: Payload data :param proto: protocol (TCP, UDP, ICMP) :param echo_reply: use echo_reply if protocol is ICMP :returns: Fragments """ if proto == IP_PROTOS.tcp: p = (IP(src=src_if.remote_ip4, dst=dst) / TCP(sport=sport, dport=dport) / Raw(data)) p = p.__class__(scapy.compat.raw(p)) chksum = p[TCP].chksum proto_header = TCP(sport=sport, dport=dport, chksum=chksum) elif proto == IP_PROTOS.udp: proto_header = UDP(sport=sport, dport=dport) elif proto == IP_PROTOS.icmp: if not echo_reply: proto_header = ICMP(id=sport, type='echo-request') else: proto_header = ICMP(id=sport, type='echo-reply') else: raise Exception("Unsupported protocol") id = random.randint(0, 65535) pkts = [] if proto == IP_PROTOS.tcp: raw = Raw(data[0:4]) else: raw = Raw(data[0:16]) p = (Ether(src=src_if.remote_mac, dst=src_if.local_mac) / IP(src=src_if.remote_ip4, dst=dst, flags="MF", frag=0, id=id) / proto_header / raw) pkts.append(p) if proto == IP_PROTOS.tcp: raw = Raw(data[4:20]) else: raw = Raw(data[16:32]) p = (Ether(src=src_if.remote_mac, dst=src_if.local_mac) / IP(src=src_if.remote_ip4, dst=dst, flags="MF", frag=3, id=id, proto=proto) / raw) pkts.append(p) if proto == IP_PROTOS.tcp: raw = Raw(data[20:]) else: raw = Raw(data[32:]) p = (Ether(src=src_if.remote_mac, dst=src_if.local_mac) / IP(src=src_if.remote_ip4, dst=dst, frag=5, proto=proto, id=id) / raw) pkts.append(p) return pkts def reass_frags_and_verify(self, frags, src, dst): """ Reassemble and verify fragmented packet :param frags: Captured fragments :param src: Source IPv4 address to verify :param dst: Destination IPv4 address to verify :returns: Reassembled IPv4 packet """ buffer = BytesIO() for p in frags: self.assertEqual(p[IP].src, src) self.assertEqual(p[IP].dst, dst) self.assert_ip_checksum_valid(p) buffer.seek(p[IP].frag * 8) buffer.write(bytes(p[IP].payload)) ip = IP(src=frags[0][IP].src, dst=frags[0][IP].dst, proto=frags[0][IP].proto) if ip.proto == IP_PROTOS.tcp: p = (ip / TCP(buffer.getvalue())) self.logger.debug(ppp("Reassembled:", p)) self.assert_tcp_checksum_valid(p) elif ip.proto == IP_PROTOS.udp: p = (ip / UDP(buffer.getvalue()[:8]) / Raw(buffer.getvalue()[8:])) elif ip.proto == IP_PROTOS.icmp: p = (ip / ICMP(buffer.getvalue())) return p def verify_ipfix_nat44_ses(self, data): """ Verify IPFIX NAT44EI session create/delete event :param data: Decoded IPFIX data records """ nat44_ses_create_num = 0 nat44_ses_delete_num = 0 self.assertEqual(6, len(data)) for record in data: # natEvent self.assertIn(scapy.compat.orb(record[230]), [4, 5]) if scapy.compat.orb(record[230]) == 4: nat44_ses_create_num += 1 else: nat44_ses_delete_num += 1 # sourceIPv4Address self.assertEqual(self.pg0.remote_ip4, str(ipaddress.IPv4Address(record[8]))) # postNATSourceIPv4Address self.assertEqual(socket.inet_pton(socket.AF_INET, self.nat_addr), record[225]) # ingressVRFID self.assertEqual(struct.pack("!I", 0), record[234]) # protocolIdentifier/sourceTransportPort # /postNAPTSourceTransportPort if IP_PROTOS.icmp == scapy.compat.orb(record[4]): self.assertEqual(struct.pack("!H", self.icmp_id_in), record[7]) self.assertEqual(struct.pack("!H", self.icmp_id_out), record[227]) elif IP_PROTOS.tcp == scapy.compat.orb(record[4]): self.assertEqual(struct.pack("!H", self.tcp_port_in), record[7]) self.assertEqual(struct.pack("!H", self.tcp_port_out), record[227]) elif IP_PROTOS.udp == scapy.compat.orb(record[4]): self.assertEqual(struct.pack("!H", self.udp_port_in), record[7]) self.assertEqual(struct.pack("!H", self.udp_port_out), record[227]) else: self.fail("Invalid protocol") self.assertEqual(3, nat44_ses_create_num) self.assertEqual(3, nat44_ses_delete_num) def verify_ipfix_addr_exhausted(self, data): self.assertEqual(1, len(data)) record = data[0] # natEvent self.assertEqual(scapy.compat.orb(record[230]), 3) # natPoolID self.assertEqual(struct.pack("!I", 0), record[283]) def verify_ipfix_max_sessions(self, data, limit): self.assertEqual(1, len(data)) record = data[0] # natEvent self.assertEqual(scapy.compat.orb(record[230]), 13) # natQuotaExceededEvent self.assertEqual(struct.pack("I", 1), record[466]) # maxSessionEntries self.assertEqual(struct.pack("I", limit), record[471]) def verify_no_nat44_user(self): """ Verify that there is no NAT44EI user """ users = self.vapi.nat44_user_dump() self.assertEqual(len(users), 0) users = self.statistics.get_counter('/nat44/total-users') self.assertEqual(users[0][0], 0) sessions = self.statistics.get_counter('/nat44/total-sessions') self.assertEqual(sessions[0][0], 0) def verify_syslog_apmap(self, data, is_add=True): message = data.decode('utf-8') try: message = SyslogMessage.parse(message) except ParseError as e: self.logger.error(e) raise else: self.assertEqual(message.severity, SyslogSeverity.info) self.assertEqual(message.appname, 'NAT') self.assertEqual(message.msgid, 'APMADD' if is_add else 'APMDEL') sd_params = message.sd.get('napmap') self.assertTrue(sd_params is not None) self.assertEqual(sd_params.get('IATYP'), 'IPv4') self.assertEqual(sd_params.get('ISADDR'), self.pg0.remote_ip4) self.assertEqual(sd_params.get('ISPORT'), "%d" % self.tcp_port_in) self.assertEqual(sd_params.get('XATYP'), 'IPv4') self.assertEqual(sd_params.get('XSADDR'), self.nat_addr) self.assertEqual(sd_params.get('XSPORT'), "%d" % self.tcp_port_out) self.assertEqual(sd_params.get('PROTO'), "%d" % IP_PROTOS.tcp) self.assertTrue(sd_params.get('SSUBIX') is not None) self.assertEqual(sd_params.get('SVLAN'), '0') def verify_mss_value(self, pkt, mss): if not pkt.haslayer(IP) or not pkt.haslayer(TCP): raise TypeError("Not a TCP/IP packet") for option in pkt[TCP].options: if option[0] == 'MSS': self.assertEqual(option[1], mss) self.assert_tcp_checksum_valid(pkt) @staticmethod def proto2layer(proto): if proto == IP_PROTOS.tcp: return TCP elif proto == IP_PROTOS.udp: return UDP elif proto == IP_PROTOS.icmp: return ICMP else: raise Exception("Unsupported protocol") def frag_in_order(self, proto=IP_PROTOS.tcp, dont_translate=False, ignore_port=False): layer = self.proto2layer(proto) if proto == IP_PROTOS.tcp: data = b"A" * 4 + b"B" * 16 + b"C" * 3 else: data = b"A" * 16 + b"B" * 16 + b"C" * 3 self.port_in = random.randint(1025, 65535) # in2out pkts = self.create_stream_frag(self.pg0, self.pg1.remote_ip4, self.port_in, 20, data, proto) self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() frags = self.pg1.get_capture(len(pkts)) if not dont_translate: p = self.reass_frags_and_verify(frags, self.nat_addr, self.pg1.remote_ip4) else: p = self.reass_frags_and_verify(frags, self.pg0.remote_ip4, self.pg1.remote_ip4) if proto != IP_PROTOS.icmp: if not dont_translate: self.assertEqual(p[layer].dport, 20) if not ignore_port: self.assertNotEqual(p[layer].sport, self.port_in) else: self.assertEqual(p[layer].sport, self.port_in) else: if not ignore_port: if not dont_translate: self.assertNotEqual(p[layer].id, self.port_in) else: self.assertEqual(p[layer].id, self.port_in) self.assertEqual(data, p[Raw].load) # out2in if not dont_translate: dst_addr = self.nat_addr else: dst_addr = self.pg0.remote_ip4 if proto != IP_PROTOS.icmp: sport = 20 dport = p[layer].sport else: sport = p[layer].id dport = 0 pkts = self.create_stream_frag(self.pg1, dst_addr, sport, dport, data, proto, echo_reply=True) self.pg1.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() frags = self.pg0.get_capture(len(pkts)) p = self.reass_frags_and_verify(frags, self.pg1.remote_ip4, self.pg0.remote_ip4) if proto != IP_PROTOS.icmp: self.assertEqual(p[layer].sport, 20) self.assertEqual(p[layer].dport, self.port_in) else: self.assertEqual(p[layer].id, self.port_in) self.assertEqual(data, p[Raw].load) def reass_hairpinning(self, server_addr, server_in_port, server_out_port, host_in_port, proto=IP_PROTOS.tcp, ignore_port=False): layer = self.proto2layer(proto) if proto == IP_PROTOS.tcp: data = b"A" * 4 + b"B" * 16 + b"C" * 3 else: data = b"A" * 16 + b"B" * 16 + b"C" * 3 # send packet from host to server pkts = self.create_stream_frag(self.pg0, self.nat_addr, host_in_port, server_out_port, data, proto) self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() frags = self.pg0.get_capture(len(pkts)) p = self.reass_frags_and_verify(frags, self.nat_addr, server_addr) if proto != IP_PROTOS.icmp: if not ignore_port: self.assertNotEqual(p[layer].sport, host_in_port) self.assertEqual(p[layer].dport, server_in_port) else: if not ignore_port: self.assertNotEqual(p[layer].id, host_in_port) self.assertEqual(data, p[Raw].load) def frag_out_of_order(self, proto=IP_PROTOS.tcp, dont_translate=False, ignore_port=False): layer = self.proto2layer(proto) if proto == IP_PROTOS.tcp: data = b"A" * 4 + b"B" * 16 + b"C" * 3 else: data = b"A" * 16 + b"B" * 16 + b"C" * 3 self.port_in = random.randint(1025, 65535) for i in range(2): # in2out pkts = self.create_stream_frag(self.pg0, self.pg1.remote_ip4, self.port_in, 20, data, proto) pkts.reverse() self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() frags = self.pg1.get_capture(len(pkts)) if not dont_translate: p = self.reass_frags_and_verify(frags, self.nat_addr, self.pg1.remote_ip4) else: p = self.reass_frags_and_verify(frags, self.pg0.remote_ip4, self.pg1.remote_ip4) if proto != IP_PROTOS.icmp: if not dont_translate: self.assertEqual(p[layer].dport, 20) if not ignore_port: self.assertNotEqual(p[layer].sport, self.port_in) else: self.assertEqual(p[layer].sport, self.port_in) else: if not ignore_port: if not dont_translate: self.assertNotEqual(p[layer].id, self.port_in) else: self.assertEqual(p[layer].id, self.port_in) self.assertEqual(data, p[Raw].load) # out2in if not dont_translate: dst_addr = self.nat_addr else: dst_addr = self.pg0.remote_ip4 if proto != IP_PROTOS.icmp: sport = 20 dport = p[layer].sport else: sport = p[layer].id dport = 0 pkts = self.create_stream_frag(self.pg1, dst_addr, sport, dport, data, proto, echo_reply=True) pkts.reverse() self.pg1.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() frags = self.pg0.get_capture(len(pkts)) p = self.reass_frags_and_verify(frags, self.pg1.remote_ip4, self.pg0.remote_ip4) if proto != IP_PROTOS.icmp: self.assertEqual(p[layer].sport, 20) self.assertEqual(p[layer].dport, self.port_in) else: self.assertEqual(p[layer].id, self.port_in) self.assertEqual(data, p[Raw].load) class TestNAT44EI(MethodHolder): """ NAT44EI Test Cases """ max_translations = 10240 max_users = 10240 @classmethod def setUpClass(cls): super(TestNAT44EI, cls).setUpClass() cls.vapi.cli("set log class nat level debug") cls.tcp_port_in = 6303 cls.tcp_port_out = 6303 cls.udp_port_in = 6304 cls.udp_port_out = 6304 cls.icmp_id_in = 6305 cls.icmp_id_out = 6305 cls.nat_addr = '10.0.0.3' cls.ipfix_src_port = 4739 cls.ipfix_domain_id = 1 cls.tcp_external_port = 80 cls.udp_external_port = 69 cls.create_pg_interfaces(range(10)) cls.interfaces = list(cls.pg_interfaces[0:4]) for i in cls.interfaces: i.admin_up() i.config_ip4() i.resolve_arp() cls.pg0.generate_remote_hosts(3) cls.pg0.configure_ipv4_neighbors() cls.pg1.generate_remote_hosts(1) cls.pg1.configure_ipv4_neighbors() cls.overlapping_interfaces = list(list(cls.pg_interfaces[4:7])) cls.vapi.ip_table_add_del(is_add=1, table={'table_id': 10}) cls.vapi.ip_table_add_del(is_add=1, table={'table_id': 20}) cls.pg4._local_ip4 = "172.16.255.1" cls.pg4._remote_hosts[0]._ip4 = "172.16.255.2" cls.pg4.set_table_ip4(10) cls.pg5._local_ip4 = "172.17.255.3" cls.pg5._remote_hosts[0]._ip4 = "172.17.255.4" cls.pg5.set_table_ip4(10) cls.pg6._local_ip4 = "172.16.255.1" cls.pg6._remote_hosts[0]._ip4 = "172.16.255.2" cls.pg6.set_table_ip4(20) for i in cls.overlapping_interfaces: i.config_ip4() i.admin_up() i.resolve_arp() cls.pg7.admin_up() cls.pg8.admin_up() cls.pg9.generate_remote_hosts(2) cls.pg9.config_ip4() cls.vapi.sw_interface_add_del_address( sw_if_index=cls.pg9.sw_if_index, prefix="10.0.0.1/24") cls.pg9.admin_up() cls.pg9.resolve_arp() cls.pg9._remote_hosts[1]._ip4 = cls.pg9._remote_hosts[0]._ip4 cls.pg4._remote_ip4 = cls.pg9._remote_hosts[0]._ip4 = "10.0.0.2" cls.pg9.resolve_arp() def setUp(self): super(TestNAT44EI, self).setUp() self.vapi.nat44_plugin_enable_disable( sessions=self.max_translations, users=self.max_users, enable=1) def tearDown(self): super(TestNAT44EI, self).tearDown() if not self.vpp_dead: self.vapi.nat_ipfix_enable_disable(domain_id=self.ipfix_domain_id, src_port=self.ipfix_src_port, enable=0) self.ipfix_src_port = 4739 self.ipfix_domain_id = 1 self.vapi.nat44_plugin_enable_disable(enable=0) self.vapi.cli("clear logging") def test_clear_sessions(self): """ NAT44EI session clearing test """ self.nat44_add_address(self.nat_addr) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, is_add=1) nat_config = self.vapi.nat_show_config() self.assertEqual(0, nat_config.endpoint_dependent) pkts = self.create_stream_in(self.pg0, self.pg1) self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg1.get_capture(len(pkts)) self.verify_capture_out(capture) sessions = self.statistics.get_counter('/nat44/total-sessions') self.assertTrue(sessions[0][0] > 0) self.logger.info("sessions before clearing: %s" % sessions[0][0]) self.vapi.cli("clear nat44 sessions") sessions = self.statistics.get_counter('/nat44/total-sessions') self.assertEqual(sessions[0][0], 0) self.logger.info("sessions after clearing: %s" % sessions[0][0]) def test_dynamic(self): """ NAT44EI dynamic translation test """ self.nat44_add_address(self.nat_addr) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, is_add=1) # in2out tcpn = self.statistics.get_counter('/nat44/in2out/slowpath/tcp')[0] udpn = self.statistics.get_counter('/nat44/in2out/slowpath/udp')[0] icmpn = self.statistics.get_counter('/nat44/in2out/slowpath/icmp')[0] drops = self.statistics.get_counter('/nat44/in2out/slowpath/drops')[0] pkts = self.create_stream_in(self.pg0, self.pg1) self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg1.get_capture(len(pkts)) self.verify_capture_out(capture) if_idx = self.pg0.sw_if_index cnt = self.statistics.get_counter('/nat44/in2out/slowpath/tcp')[0] self.assertEqual(cnt[if_idx] - tcpn[if_idx], 2) cnt = self.statistics.get_counter('/nat44/in2out/slowpath/udp')[0] self.assertEqual(cnt[if_idx] - udpn[if_idx], 1) cnt = self.statistics.get_counter('/nat44/in2out/slowpath/icmp')[0] self.assertEqual(cnt[if_idx] - icmpn[if_idx], 1) cnt = self.statistics.get_counter('/nat44/in2out/slowpath/drops')[0] self.assertEqual(cnt[if_idx] - drops[if_idx], 0) # out2in tcpn = self.statistics.get_counter('/nat44/out2in/slowpath/tcp')[0] udpn = self.statistics.get_counter('/nat44/out2in/slowpath/udp')[0] icmpn = self.statistics.get_counter('/nat44/out2in/slowpath/icmp')[0] drops = self.statistics.get_counter('/nat44/out2in/slowpath/drops')[0] pkts = self.create_stream_out(self.pg1) self.pg1.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg0.get_capture(len(pkts)) self.verify_capture_in(capture, self.pg0) if_idx = self.pg1.sw_if_index cnt = self.statistics.get_counter('/nat44/out2in/slowpath/tcp')[0] self.assertEqual(cnt[if_idx] - tcpn[if_idx], 2) cnt = self.statistics.get_counter('/nat44/out2in/slowpath/udp')[0] self.assertEqual(cnt[if_idx] - udpn[if_idx], 1) cnt = self.statistics.get_counter('/nat44/out2in/slowpath/icmp')[0] self.assertEqual(cnt[if_idx] - icmpn[if_idx], 1) cnt = self.statistics.get_counter('/nat44/out2in/slowpath/drops')[0] self.assertEqual(cnt[if_idx] - drops[if_idx], 0) users = self.statistics.get_counter('/nat44/total-users') self.assertEqual(users[0][0], 1) sessions = self.statistics.get_counter('/nat44/total-sessions') self.assertEqual(sessions[0][0], 3) def test_dynamic_icmp_errors_in2out_ttl_1(self): """ NAT44EI handling of client packets with TTL=1 """ self.nat44_add_address(self.nat_addr) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, is_add=1) # Client side - generate traffic pkts = self.create_stream_in(self.pg0, self.pg1, ttl=1) self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() # Client side - verify ICMP type 11 packets capture = self.pg0.get_capture(len(pkts)) self.verify_capture_in_with_icmp_errors(capture, self.pg0) def test_dynamic_icmp_errors_out2in_ttl_1(self): """ NAT44EI handling of server packets with TTL=1 """ self.nat44_add_address(self.nat_addr) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, is_add=1) # Client side - create sessions pkts = self.create_stream_in(self.pg0, self.pg1) self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() # Server side - generate traffic capture = self.pg1.get_capture(len(pkts)) self.verify_capture_out(capture) pkts = self.create_stream_out(self.pg1, ttl=1) self.pg1.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() # Server side - verify ICMP type 11 packets capture = self.pg1.get_capture(len(pkts)) self.verify_capture_out_with_icmp_errors(capture, src_ip=self.pg1.local_ip4) def test_dynamic_icmp_errors_in2out_ttl_2(self): """ NAT44EI handling of error responses to client packets with TTL=2 """ self.nat44_add_address(self.nat_addr) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, is_add=1) # Client side - generate traffic pkts = self.create_stream_in(self.pg0, self.pg1, ttl=2) self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() # Server side - simulate ICMP type 11 response capture = self.pg1.get_capture(len(pkts)) pkts = [Ether(dst=self.pg1.local_mac, src=self.pg1.remote_mac) / IP(src=self.pg1.remote_ip4, dst=self.nat_addr) / ICMP(type=11) / packet[IP] for packet in capture] self.pg1.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() # Client side - verify ICMP type 11 packets capture = self.pg0.get_capture(len(pkts)) self.verify_capture_in_with_icmp_errors(capture, self.pg0) def test_dynamic_icmp_errors_out2in_ttl_2(self): """ NAT44EI handling of error responses to server packets with TTL=2 """ self.nat44_add_address(self.nat_addr) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, is_add=1) # Client side - create sessions pkts = self.create_stream_in(self.pg0, self.pg1) self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() # Server side - generate traffic capture = self.pg1.get_capture(len(pkts)) self.verify_capture_out(capture) pkts = self.create_stream_out(self.pg1, ttl=2) self.pg1.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() # Client side - simulate ICMP type 11 response capture = self.pg0.get_capture(len(pkts)) pkts = [Ether(dst=self.pg0.local_mac, src=self.pg0.remote_mac) / IP(src=self.pg0.remote_ip4, dst=self.pg1.remote_ip4) / ICMP(type=11) / packet[IP] for packet in capture] self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() # Server side - verify ICMP type 11 packets capture = self.pg1.get_capture(len(pkts)) self.verify_capture_out_with_icmp_errors(capture) def test_ping_out_interface_from_outside(self): """ NAT44EI ping out interface from outside network """ self.nat44_add_address(self.nat_addr) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, is_add=1) p = (Ether(dst=self.pg1.local_mac, src=self.pg1.remote_mac) / IP(src=self.pg1.remote_ip4, dst=self.pg1.local_ip4) / ICMP(id=self.icmp_id_out, type='echo-request')) pkts = [p] self.pg1.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg1.get_capture(len(pkts)) packet = capture[0] try: self.assertEqual(packet[IP].src, self.pg1.local_ip4) self.assertEqual(packet[IP].dst, self.pg1.remote_ip4) self.assertEqual(packet[ICMP].id, self.icmp_id_in) self.assertEqual(packet[ICMP].type, 0) # echo reply except: self.logger.error(ppp("Unexpected or invalid packet " "(outside network):", packet)) raise def test_ping_internal_host_from_outside(self): """ NAT44EI ping internal host from outside network """ self.nat44_add_static_mapping(self.pg0.remote_ip4, self.nat_addr) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, is_add=1) # out2in pkt = (Ether(dst=self.pg1.local_mac, src=self.pg1.remote_mac) / IP(src=self.pg1.remote_ip4, dst=self.nat_addr, ttl=64) / ICMP(id=self.icmp_id_out, type='echo-request')) self.pg1.add_stream(pkt) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg0.get_capture(1) self.verify_capture_in(capture, self.pg0) self.assert_equal(capture[0][IP].proto, IP_PROTOS.icmp) # in2out pkt = (Ether(dst=self.pg0.local_mac, src=self.pg0.remote_mac) / IP(src=self.pg0.remote_ip4, dst=self.pg1.remote_ip4, ttl=64) / ICMP(id=self.icmp_id_in, type='echo-reply')) self.pg0.add_stream(pkt) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg1.get_capture(1) self.verify_capture_out(capture, same_port=True) self.assert_equal(capture[0][IP].proto, IP_PROTOS.icmp) def test_forwarding(self): """ NAT44EI forwarding test """ flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, is_add=1) self.vapi.nat44_forwarding_enable_disable(enable=1) real_ip = self.pg0.remote_ip4 alias_ip = self.nat_addr flags = self.config_flags.NAT_IS_ADDR_ONLY self.vapi.nat44_add_del_static_mapping(is_add=1, local_ip_address=real_ip, external_ip_address=alias_ip, external_sw_if_index=0xFFFFFFFF, flags=flags) try: # static mapping match pkts = self.create_stream_out(self.pg1) self.pg1.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg0.get_capture(len(pkts)) self.verify_capture_in(capture, self.pg0) pkts = self.create_stream_in(self.pg0, self.pg1) self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg1.get_capture(len(pkts)) self.verify_capture_out(capture, same_port=True) # no static mapping match host0 = self.pg0.remote_hosts[0] self.pg0.remote_hosts[0] = self.pg0.remote_hosts[1] try: pkts = self.create_stream_out(self.pg1, dst_ip=self.pg0.remote_ip4, use_inside_ports=True) self.pg1.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg0.get_capture(len(pkts)) self.verify_capture_in(capture, self.pg0) pkts = self.create_stream_in(self.pg0, self.pg1) self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg1.get_capture(len(pkts)) self.verify_capture_out(capture, nat_ip=self.pg0.remote_ip4, same_port=True) finally: self.pg0.remote_hosts[0] = host0 finally: self.vapi.nat44_forwarding_enable_disable(enable=0) flags = self.config_flags.NAT_IS_ADDR_ONLY self.vapi.nat44_add_del_static_mapping( is_add=0, local_ip_address=real_ip, external_ip_address=alias_ip, external_sw_if_index=0xFFFFFFFF, flags=flags) def test_static_in(self): """ NAT44EI 1:1 NAT initialized from inside network """ nat_ip = "10.0.0.10" self.tcp_port_out = 6303 self.udp_port_out = 6304 self.icmp_id_out = 6305 self.nat44_add_static_mapping(self.pg0.remote_ip4, nat_ip) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, is_add=1) sm = self.vapi.nat44_static_mapping_dump() self.assertEqual(len(sm), 1) self.assertEqual(sm[0].tag, '') self.assertEqual(sm[0].protocol, 0) self.assertEqual(sm[0].local_port, 0) self.assertEqual(sm[0].external_port, 0) # in2out pkts = self.create_stream_in(self.pg0, self.pg1) self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg1.get_capture(len(pkts)) self.verify_capture_out(capture, nat_ip, True) # out2in pkts = self.create_stream_out(self.pg1, nat_ip) self.pg1.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg0.get_capture(len(pkts)) self.verify_capture_in(capture, self.pg0) def test_static_out(self): """ NAT44EI 1:1 NAT initialized from outside network """ nat_ip = "10.0.0.20" self.tcp_port_out = 6303 self.udp_port_out = 6304 self.icmp_id_out = 6305 tag = "testTAG" self.nat44_add_static_mapping(self.pg0.remote_ip4, nat_ip, tag=tag) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, is_add=1) sm = self.vapi.nat44_static_mapping_dump() self.assertEqual(len(sm), 1) self.assertEqual(sm[0].tag, tag) # out2in pkts = self.create_stream_out(self.pg1, nat_ip) self.pg1.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg0.get_capture(len(pkts)) self.verify_capture_in(capture, self.pg0) # in2out pkts = self.create_stream_in(self.pg0, self.pg1) self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg1.get_capture(len(pkts)) self.verify_capture_out(capture, nat_ip, True) def test_static_with_port_in(self): """ NAT44EI 1:1 NAPT initialized from inside network """ self.tcp_port_out = 3606 self.udp_port_out = 3607 self.icmp_id_out = 3608 self.nat44_add_address(self.nat_addr) self.nat44_add_static_mapping(self.pg0.remote_ip4, self.nat_addr, self.tcp_port_in, self.tcp_port_out, proto=IP_PROTOS.tcp) self.nat44_add_static_mapping(self.pg0.remote_ip4, self.nat_addr, self.udp_port_in, self.udp_port_out, proto=IP_PROTOS.udp) self.nat44_add_static_mapping(self.pg0.remote_ip4, self.nat_addr, self.icmp_id_in, self.icmp_id_out, proto=IP_PROTOS.icmp) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, is_add=1) # in2out pkts = self.create_stream_in(self.pg0, self.pg1) self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg1.get_capture(len(pkts)) self.verify_capture_out(capture) # out2in pkts = self.create_stream_out(self.pg1) self.pg1.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg0.get_capture(len(pkts)) self.verify_capture_in(capture, self.pg0) def test_static_with_port_out(self): """ NAT44EI 1:1 NAPT initialized from outside network """ self.tcp_port_out = 30606 self.udp_port_out = 30607 self.icmp_id_out = 30608 self.nat44_add_address(self.nat_addr) self.nat44_add_static_mapping(self.pg0.remote_ip4, self.nat_addr, self.tcp_port_in, self.tcp_port_out, proto=IP_PROTOS.tcp) self.nat44_add_static_mapping(self.pg0.remote_ip4, self.nat_addr, self.udp_port_in, self.udp_port_out, proto=IP_PROTOS.udp) self.nat44_add_static_mapping(self.pg0.remote_ip4, self.nat_addr, self.icmp_id_in, self.icmp_id_out, proto=IP_PROTOS.icmp) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, is_add=1) # out2in pkts = self.create_stream_out(self.pg1) self.pg1.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg0.get_capture(len(pkts)) self.verify_capture_in(capture, self.pg0) # in2out pkts = self.create_stream_in(self.pg0, self.pg1) self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg1.get_capture(len(pkts)) self.verify_capture_out(capture) def test_static_vrf_aware(self): """ NAT44EI 1:1 NAT VRF awareness """ nat_ip1 = "10.0.0.30" nat_ip2 = "10.0.0.40" self.tcp_port_out = 6303 self.udp_port_out = 6304 self.icmp_id_out = 6305 self.nat44_add_static_mapping(self.pg4.remote_ip4, nat_ip1, vrf_id=10) self.nat44_add_static_mapping(self.pg0.remote_ip4, nat_ip2, vrf_id=10) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg3.sw_if_index, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg4.sw_if_index, flags=flags, is_add=1) # inside interface VRF match NAT44EI static mapping VRF pkts = self.create_stream_in(self.pg4, self.pg3) self.pg4.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg3.get_capture(len(pkts)) self.verify_capture_out(capture, nat_ip1, True) # inside interface VRF don't match NAT44EI static mapping VRF (packets # are dropped) pkts = self.create_stream_in(self.pg0, self.pg3) self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() self.pg3.assert_nothing_captured() def test_dynamic_to_static(self): """ NAT44EI Switch from dynamic translation to 1:1NAT """ nat_ip = "10.0.0.10" self.tcp_port_out = 6303 self.udp_port_out = 6304 self.icmp_id_out = 6305 self.nat44_add_address(self.nat_addr) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, is_add=1) # dynamic pkts = self.create_stream_in(self.pg0, self.pg1) self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg1.get_capture(len(pkts)) self.verify_capture_out(capture) # 1:1NAT self.nat44_add_static_mapping(self.pg0.remote_ip4, nat_ip) sessions = self.vapi.nat44_user_session_dump(self.pg0.remote_ip4, 0) self.assertEqual(len(sessions), 0) pkts = self.create_stream_in(self.pg0, self.pg1) self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg1.get_capture(len(pkts)) self.verify_capture_out(capture, nat_ip, True) def test_identity_nat(self): """ NAT44EI Identity NAT """ flags = self.config_flags.NAT_IS_ADDR_ONLY self.vapi.nat44_add_del_identity_mapping( ip_address=self.pg0.remote_ip4, sw_if_index=0xFFFFFFFF, flags=flags, is_add=1) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, is_add=1) p = (Ether(src=self.pg1.remote_mac, dst=self.pg1.local_mac) / IP(src=self.pg1.remote_ip4, dst=self.pg0.remote_ip4) / TCP(sport=12345, dport=56789)) self.pg1.add_stream(p) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg0.get_capture(1) p = capture[0] try: ip = p[IP] tcp = p[TCP] self.assertEqual(ip.dst, self.pg0.remote_ip4) self.assertEqual(ip.src, self.pg1.remote_ip4) self.assertEqual(tcp.dport, 56789) self.assertEqual(tcp.sport, 12345) self.assert_packet_checksums_valid(p) except: self.logger.error(ppp("Unexpected or invalid packet:", p)) raise sessions = self.vapi.nat44_user_session_dump(self.pg0.remote_ip4, 0) self.assertEqual(len(sessions), 0) flags = self.config_flags.NAT_IS_ADDR_ONLY self.vapi.nat44_add_del_identity_mapping( ip_address=self.pg0.remote_ip4, sw_if_index=0xFFFFFFFF, flags=flags, vrf_id=1, is_add=1) identity_mappings = self.vapi.nat44_identity_mapping_dump() self.assertEqual(len(identity_mappings), 2) def test_multiple_inside_interfaces(self): """ NAT44EI multiple non-overlapping address space inside interfaces """ self.nat44_add_address(self.nat_addr) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg3.sw_if_index, is_add=1) # between two NAT44EI inside interfaces (no translation) pkts = self.create_stream_in(self.pg0, self.pg1) self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg1.get_capture(len(pkts)) self.verify_capture_no_translation(capture, self.pg0, self.pg1) # from inside to interface without translation pkts = self.create_stream_in(self.pg0, self.pg2) self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg2.get_capture(len(pkts)) self.verify_capture_no_translation(capture, self.pg0, self.pg2) # in2out 1st interface pkts = self.create_stream_in(self.pg0, self.pg3) self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg3.get_capture(len(pkts)) self.verify_capture_out(capture) # out2in 1st interface pkts = self.create_stream_out(self.pg3) self.pg3.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg0.get_capture(len(pkts)) self.verify_capture_in(capture, self.pg0) # in2out 2nd interface pkts = self.create_stream_in(self.pg1, self.pg3) self.pg1.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg3.get_capture(len(pkts)) self.verify_capture_out(capture) # out2in 2nd interface pkts = self.create_stream_out(self.pg3) self.pg3.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg1.get_capture(len(pkts)) self.verify_capture_in(capture, self.pg1) def test_inside_overlapping_interfaces(self): """ NAT44EI multiple inside interfaces with overlapping address space """ static_nat_ip = "10.0.0.10" self.nat44_add_address(self.nat_addr) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg3.sw_if_index, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg4.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg5.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg6.sw_if_index, flags=flags, is_add=1) self.nat44_add_static_mapping(self.pg6.remote_ip4, static_nat_ip, vrf_id=20) # between NAT44EI inside interfaces with same VRF (no translation) pkts = self.create_stream_in(self.pg4, self.pg5) self.pg4.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg5.get_capture(len(pkts)) self.verify_capture_no_translation(capture, self.pg4, self.pg5) # between NAT44EI inside interfaces with different VRF (hairpinning) p = (Ether(src=self.pg4.remote_mac, dst=self.pg4.local_mac) / IP(src=self.pg4.remote_ip4, dst=static_nat_ip) / TCP(sport=1234, dport=5678)) self.pg4.add_stream(p) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg6.get_capture(1) p = capture[0] try: ip = p[IP] tcp = p[TCP] self.assertEqual(ip.src, self.nat_addr) self.assertEqual(ip.dst, self.pg6.remote_ip4) self.assertNotEqual(tcp.sport, 1234) self.assertEqual(tcp.dport, 5678) except: self.logger.error(ppp("Unexpected or invalid packet:", p)) raise # in2out 1st interface pkts = self.create_stream_in(self.pg4, self.pg3) self.pg4.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg3.get_capture(len(pkts)) self.verify_capture_out(capture) # out2in 1st interface pkts = self.create_stream_out(self.pg3) self.pg3.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg4.get_capture(len(pkts)) self.verify_capture_in(capture, self.pg4) # in2out 2nd interface pkts = self.create_stream_in(self.pg5, self.pg3) self.pg5.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg3.get_capture(len(pkts)) self.verify_capture_out(capture) # out2in 2nd interface pkts = self.create_stream_out(self.pg3) self.pg3.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg5.get_capture(len(pkts)) self.verify_capture_in(capture, self.pg5) # pg5 session dump addresses = self.vapi.nat44_address_dump() self.assertEqual(len(addresses), 1) sessions = self.vapi.nat44_user_session_dump(self.pg5.remote_ip4, 10) self.assertEqual(len(sessions), 3) for session in sessions: self.assertFalse(session.flags & self.config_flags.NAT_IS_STATIC) self.assertEqual(str(session.inside_ip_address), self.pg5.remote_ip4) self.assertEqual(session.outside_ip_address, addresses[0].ip_address) self.assertEqual(sessions[0].protocol, IP_PROTOS.tcp) self.assertEqual(sessions[1].protocol, IP_PROTOS.udp) self.assertEqual(sessions[2].protocol, IP_PROTOS.icmp) self.assertEqual(sessions[0].inside_port, self.tcp_port_in) self.assertEqual(sessions[1].inside_port, self.udp_port_in) self.assertEqual(sessions[2].inside_port, self.icmp_id_in) self.assertEqual(sessions[0].outside_port, self.tcp_port_out) self.assertEqual(sessions[1].outside_port, self.udp_port_out) self.assertEqual(sessions[2].outside_port, self.icmp_id_out) # in2out 3rd interface pkts = self.create_stream_in(self.pg6, self.pg3) self.pg6.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg3.get_capture(len(pkts)) self.verify_capture_out(capture, static_nat_ip, True) # out2in 3rd interface pkts = self.create_stream_out(self.pg3, static_nat_ip) self.pg3.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg6.get_capture(len(pkts)) self.verify_capture_in(capture, self.pg6) # general user and session dump verifications users = self.vapi.nat44_user_dump() self.assertGreaterEqual(len(users), 3) addresses = self.vapi.nat44_address_dump() self.assertEqual(len(addresses), 1) for user in users: sessions = self.vapi.nat44_user_session_dump(user.ip_address, user.vrf_id) for session in sessions: self.assertEqual(user.ip_address, session.inside_ip_address) self.assertTrue(session.total_bytes > session.total_pkts > 0) self.assertTrue(session.protocol in [IP_PROTOS.tcp, IP_PROTOS.udp, IP_PROTOS.icmp]) self.assertFalse(session.flags & self.config_flags.NAT_IS_EXT_HOST_VALID) # pg4 session dump sessions = self.vapi.nat44_user_session_dump(self.pg4.remote_ip4, 10) self.assertGreaterEqual(len(sessions), 4) for session in sessions: self.assertFalse(session.flags & self.config_flags.NAT_IS_STATIC) self.assertEqual(str(session.inside_ip_address), self.pg4.remote_ip4) self.assertEqual(session.outside_ip_address, addresses[0].ip_address) # pg6 session dump sessions = self.vapi.nat44_user_session_dump(self.pg6.remote_ip4, 20) self.assertGreaterEqual(len(sessions), 3) for session in sessions: self.assertTrue(session.flags & self.config_flags.NAT_IS_STATIC) self.assertEqual(str(session.inside_ip_address), self.pg6.remote_ip4) self.assertEqual(str(session.outside_ip_address), static_nat_ip) self.assertTrue(session.inside_port in [self.tcp_port_in, self.udp_port_in, self.icmp_id_in]) def test_hairpinning(self): """ NAT44EI hairpinning - 1:1 NAPT """ host = self.pg0.remote_hosts[0] server = self.pg0.remote_hosts[1] host_in_port = 1234 host_out_port = 0 server_in_port = 5678 server_out_port = 8765 self.nat44_add_address(self.nat_addr) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, is_add=1) # add static mapping for server self.nat44_add_static_mapping(server.ip4, self.nat_addr, server_in_port, server_out_port, proto=IP_PROTOS.tcp) cnt = self.statistics.get_counter('/nat44/hairpinning')[0] # send packet from host to server p = (Ether(src=host.mac, dst=self.pg0.local_mac) / IP(src=host.ip4, dst=self.nat_addr) / TCP(sport=host_in_port, dport=server_out_port)) self.pg0.add_stream(p) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg0.get_capture(1) p = capture[0] try: ip = p[IP] tcp = p[TCP] self.assertEqual(ip.src, self.nat_addr) self.assertEqual(ip.dst, server.ip4) self.assertNotEqual(tcp.sport, host_in_port) self.assertEqual(tcp.dport, server_in_port) self.assert_packet_checksums_valid(p) host_out_port = tcp.sport except: self.logger.error(ppp("Unexpected or invalid packet:", p)) raise after = self.statistics.get_counter('/nat44/hairpinning')[0] if_idx = self.pg0.sw_if_index self.assertEqual(after[if_idx] - cnt[if_idx], 1) # send reply from server to host p = (Ether(src=server.mac, dst=self.pg0.local_mac) / IP(src=server.ip4, dst=self.nat_addr) / TCP(sport=server_in_port, dport=host_out_port)) self.pg0.add_stream(p) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg0.get_capture(1) p = capture[0] try: ip = p[IP] tcp = p[TCP] self.assertEqual(ip.src, self.nat_addr) self.assertEqual(ip.dst, host.ip4) self.assertEqual(tcp.sport, server_out_port) self.assertEqual(tcp.dport, host_in_port) self.assert_packet_checksums_valid(p) except: self.logger.error(ppp("Unexpected or invalid packet:", p)) raise after = self.statistics.get_counter('/nat44/hairpinning')[0] if_idx = self.pg0.sw_if_index self.assertEqual(after[if_idx] - cnt[if_idx], 2) def test_hairpinning2(self): """ NAT44EI hairpinning - 1:1 NAT""" server1_nat_ip = "10.0.0.10" server2_nat_ip = "10.0.0.11" host = self.pg0.remote_hosts[0] server1 = self.pg0.remote_hosts[1] server2 = self.pg0.remote_hosts[2] server_tcp_port = 22 server_udp_port = 20 self.nat44_add_address(self.nat_addr) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, is_add=1) # add static mapping for servers self.nat44_add_static_mapping(server1.ip4, server1_nat_ip) self.nat44_add_static_mapping(server2.ip4, server2_nat_ip) # host to server1 pkts = [] p = (Ether(dst=self.pg0.local_mac, src=self.pg0.remote_mac) / IP(src=host.ip4, dst=server1_nat_ip) / TCP(sport=self.tcp_port_in, dport=server_tcp_port)) pkts.append(p) p = (Ether(dst=self.pg0.local_mac, src=self.pg0.remote_mac) / IP(src=host.ip4, dst=server1_nat_ip) / UDP(sport=self.udp_port_in, dport=server_udp_port)) pkts.append(p) p = (Ether(dst=self.pg0.local_mac, src=self.pg0.remote_mac) / IP(src=host.ip4, dst=server1_nat_ip) / ICMP(id=self.icmp_id_in, type='echo-request')) pkts.append(p) self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg0.get_capture(len(pkts)) for packet in capture: try: self.assertEqual(packet[IP].src, self.nat_addr) self.assertEqual(packet[IP].dst, server1.ip4) if packet.haslayer(TCP): self.assertNotEqual(packet[TCP].sport, self.tcp_port_in) self.assertEqual(packet[TCP].dport, server_tcp_port) self.tcp_port_out = packet[TCP].sport self.assert_packet_checksums_valid(packet) elif packet.haslayer(UDP): self.assertNotEqual(packet[UDP].sport, self.udp_port_in) self.assertEqual(packet[UDP].dport, server_udp_port) self.udp_port_out = packet[UDP].sport else: self.assertNotEqual(packet[ICMP].id, self.icmp_id_in) self.icmp_id_out = packet[ICMP].id except: self.logger.error(ppp("Unexpected or invalid packet:", packet)) raise # server1 to host pkts = [] p = (Ether(dst=self.pg0.local_mac, src=self.pg0.remote_mac) / IP(src=server1.ip4, dst=self.nat_addr) / TCP(sport=server_tcp_port, dport=self.tcp_port_out)) pkts.append(p) p = (Ether(dst=self.pg0.local_mac, src=self.pg0.remote_mac) / IP(src=server1.ip4, dst=self.nat_addr) / UDP(sport=server_udp_port, dport=self.udp_port_out)) pkts.append(p) p = (Ether(dst=self.pg0.local_mac, src=self.pg0.remote_mac) / IP(src=server1.ip4, dst=self.nat_addr) / ICMP(id=self.icmp_id_out, type='echo-reply')) pkts.append(p) self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg0.get_capture(len(pkts)) for packet in capture: try: self.assertEqual(packet[IP].src, server1_nat_ip) self.assertEqual(packet[IP].dst, host.ip4) if packet.haslayer(TCP): self.assertEqual(packet[TCP].dport, self.tcp_port_in) self.assertEqual(packet[TCP].sport, server_tcp_port) self.assert_packet_checksums_valid(packet) elif packet.haslayer(UDP): self.assertEqual(packet[UDP].dport, self.udp_port_in) self.assertEqual(packet[UDP].sport, server_udp_port) else: self.assertEqual(packet[ICMP].id, self.icmp_id_in) except: self.logger.error(ppp("Unexpected or invalid packet:", packet)) raise # server2 to server1 pkts = [] p = (Ether(dst=self.pg0.local_mac, src=self.pg0.remote_mac) / IP(src=server2.ip4, dst=server1_nat_ip) / TCP(sport=self.tcp_port_in, dport=server_tcp_port)) pkts.append(p) p = (Ether(dst=self.pg0.local_mac, src=self.pg0.remote_mac) / IP(src=server2.ip4, dst=server1_nat_ip) / UDP(sport=self.udp_port_in, dport=server_udp_port)) pkts.append(p) p = (Ether(dst=self.pg0.local_mac, src=self.pg0.remote_mac) / IP(src=server2.ip4, dst=server1_nat_ip) / ICMP(id=self.icmp_id_in, type='echo-request')) pkts.append(p) self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg0.get_capture(len(pkts)) for packet in capture: try: self.assertEqual(packet[IP].src, server2_nat_ip) self.assertEqual(packet[IP].dst, server1.ip4) if packet.haslayer(TCP): self.assertEqual(packet[TCP].sport, self.tcp_port_in) self.assertEqual(packet[TCP].dport, server_tcp_port) self.tcp_port_out = packet[TCP].sport self.assert_packet_checksums_valid(packet) elif packet.haslayer(UDP): self.assertEqual(packet[UDP].sport, self.udp_port_in) self.assertEqual(packet[UDP].dport, server_udp_port) self.udp_port_out = packet[UDP].sport else: self.assertEqual(packet[ICMP].id, self.icmp_id_in) self.icmp_id_out = packet[ICMP].id except: self.logger.error(ppp("Unexpected or invalid packet:", packet)) raise # server1 to server2 pkts = [] p = (Ether(dst=self.pg0.local_mac, src=self.pg0.remote_mac) / IP(src=server1.ip4, dst=server2_nat_ip) / TCP(sport=server_tcp_port, dport=self.tcp_port_out)) pkts.append(p) p = (Ether(dst=self.pg0.local_mac, src=self.pg0.remote_mac) / IP(src=server1.ip4, dst=server2_nat_ip) / UDP(sport=server_udp_port, dport=self.udp_port_out)) pkts.append(p) p = (Ether(dst=self.pg0.local_mac, src=self.pg0.remote_mac) / IP(src=server1.ip4, dst=server2_nat_ip) / ICMP(id=self.icmp_id_out, type='echo-reply')) pkts.append(p) self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg0.get_capture(len(pkts)) for packet in capture: try: self.assertEqual(packet[IP].src, server1_nat_ip) self.assertEqual(packet[IP].dst, server2.ip4) if packet.haslayer(TCP): self.assertEqual(packet[TCP].dport, self.tcp_port_in) self.assertEqual(packet[TCP].sport, server_tcp_port) self.assert_packet_checksums_valid(packet) elif packet.haslayer(UDP): self.assertEqual(packet[UDP].dport, self.udp_port_in) self.assertEqual(packet[UDP].sport, server_udp_port) else: self.assertEqual(packet[ICMP].id, self.icmp_id_in) except: self.logger.error(ppp("Unexpected or invalid packet:", packet)) raise def test_hairpinning_avoid_inf_loop(self): """ NAT44 hairpinning - 1:1 NAPT avoid infinite loop """ host = self.pg0.remote_hosts[0] server = self.pg0.remote_hosts[1] host_in_port = 1234 host_out_port = 0 server_in_port = 5678 server_out_port = 8765 self.nat44_add_address(self.nat_addr) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, is_add=1) # add static mapping for server self.nat44_add_static_mapping(server.ip4, self.nat_addr, server_in_port, server_out_port, proto=IP_PROTOS.tcp) # add another static mapping that maps pg0.local_ip4 address to itself self.nat44_add_static_mapping(self.pg0.local_ip4, self.pg0.local_ip4) # send packet from host to VPP (the packet should get dropped) p = (Ether(src=host.mac, dst=self.pg0.local_mac) / IP(src=host.ip4, dst=self.pg0.local_ip4) / TCP(sport=host_in_port, dport=server_out_port)) self.pg0.add_stream(p) self.pg_enable_capture(self.pg_interfaces) self.pg_start() # Here VPP used to crash due to an infinite loop cnt = self.statistics.get_counter('/nat44/hairpinning')[0] # send packet from host to server p = (Ether(src=host.mac, dst=self.pg0.local_mac) / IP(src=host.ip4, dst=self.nat_addr) / TCP(sport=host_in_port, dport=server_out_port)) self.pg0.add_stream(p) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg0.get_capture(1) p = capture[0] try: ip = p[IP] tcp = p[TCP] self.assertEqual(ip.src, self.nat_addr) self.assertEqual(ip.dst, server.ip4) self.assertNotEqual(tcp.sport, host_in_port) self.assertEqual(tcp.dport, server_in_port) self.assert_packet_checksums_valid(p) host_out_port = tcp.sport except: self.logger.error(ppp("Unexpected or invalid packet:", p)) raise after = self.statistics.get_counter('/nat44/hairpinning')[0] if_idx = self.pg0.sw_if_index self.assertEqual(after[if_idx] - cnt[if_idx], 1) # send reply from server to host p = (Ether(src=server.mac, dst=self.pg0.local_mac) / IP(src=server.ip4, dst=self.nat_addr) / TCP(sport=server_in_port, dport=host_out_port)) self.pg0.add_stream(p) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg0.get_capture(1) p = capture[0] try: ip = p[IP] tcp = p[TCP] self.assertEqual(ip.src, self.nat_addr) self.assertEqual(ip.dst, host.ip4) self.assertEqual(tcp.sport, server_out_port) self.assertEqual(tcp.dport, host_in_port) self.assert_packet_checksums_valid(p) except: self.logger.error(ppp("Unexpected or invalid packet:", p)) raise after = self.statistics.get_counter('/nat44/hairpinning')[0] if_idx = self.pg0.sw_if_index self.assertEqual(after[if_idx] - cnt[if_idx], 2) def test_interface_addr(self): """ NAT44EI acquire addresses from interface """ self.vapi.nat44_add_del_interface_addr( is_add=1, sw_if_index=self.pg7.sw_if_index) # no address in NAT pool addresses = self.vapi.nat44_address_dump() self.assertEqual(0, len(addresses)) # configure interface address and check NAT address pool self.pg7.config_ip4() addresses = self.vapi.nat44_address_dump() self.assertEqual(1, len(addresses)) self.assertEqual(str(addresses[0].ip_address), self.pg7.local_ip4) # remove interface address and check NAT address pool self.pg7.unconfig_ip4() addresses = self.vapi.nat44_address_dump() self.assertEqual(0, len(addresses)) def test_interface_addr_static_mapping(self): """ NAT44EI Static mapping with addresses from interface """ tag = "testTAG" self.vapi.nat44_add_del_interface_addr( is_add=1, sw_if_index=self.pg7.sw_if_index) self.nat44_add_static_mapping( '1.2.3.4', external_sw_if_index=self.pg7.sw_if_index, tag=tag) # static mappings with external interface static_mappings = self.vapi.nat44_static_mapping_dump() self.assertEqual(1, len(static_mappings)) self.assertEqual(self.pg7.sw_if_index, static_mappings[0].external_sw_if_index) self.assertEqual(static_mappings[0].tag, tag) # configure interface address and check static mappings self.pg7.config_ip4() static_mappings = self.vapi.nat44_static_mapping_dump() self.assertEqual(2, len(static_mappings)) resolved = False for sm in static_mappings: if sm.external_sw_if_index == 0xFFFFFFFF: self.assertEqual(str(sm.external_ip_address), self.pg7.local_ip4) self.assertEqual(sm.tag, tag) resolved = True self.assertTrue(resolved) # remove interface address and check static mappings self.pg7.unconfig_ip4() static_mappings = self.vapi.nat44_static_mapping_dump() self.assertEqual(1, len(static_mappings)) self.assertEqual(self.pg7.sw_if_index, static_mappings[0].external_sw_if_index) self.assertEqual(static_mappings[0].tag, tag) # configure interface address again and check static mappings self.pg7.config_ip4() static_mappings = self.vapi.nat44_static_mapping_dump() self.assertEqual(2, len(static_mappings)) resolved = False for sm in static_mappings: if sm.external_sw_if_index == 0xFFFFFFFF: self.assertEqual(str(sm.external_ip_address), self.pg7.local_ip4) self.assertEqual(sm.tag, tag) resolved = True self.assertTrue(resolved) # remove static mapping self.nat44_add_static_mapping( '1.2.3.4', external_sw_if_index=self.pg7.sw_if_index, tag=tag, is_add=0) static_mappings = self.vapi.nat44_static_mapping_dump() self.assertEqual(0, len(static_mappings)) def test_interface_addr_identity_nat(self): """ NAT44EI Identity NAT with addresses from interface """ port = 53053 self.vapi.nat44_add_del_interface_addr( is_add=1, sw_if_index=self.pg7.sw_if_index) self.vapi.nat44_add_del_identity_mapping( ip_address=b'0', sw_if_index=self.pg7.sw_if_index, port=port, protocol=IP_PROTOS.tcp, is_add=1) # identity mappings with external interface identity_mappings = self.vapi.nat44_identity_mapping_dump() self.assertEqual(1, len(identity_mappings)) self.assertEqual(self.pg7.sw_if_index, identity_mappings[0].sw_if_index) # configure interface address and check identity mappings self.pg7.config_ip4() identity_mappings = self.vapi.nat44_identity_mapping_dump() resolved = False self.assertEqual(2, len(identity_mappings)) for sm in identity_mappings: if sm.sw_if_index == 0xFFFFFFFF: self.assertEqual(str(identity_mappings[0].ip_address), self.pg7.local_ip4) self.assertEqual(port, identity_mappings[0].port) self.assertEqual(IP_PROTOS.tcp, identity_mappings[0].protocol) resolved = True self.assertTrue(resolved) # remove interface address and check identity mappings self.pg7.unconfig_ip4() identity_mappings = self.vapi.nat44_identity_mapping_dump() self.assertEqual(1, len(identity_mappings)) self.assertEqual(self.pg7.sw_if_index, identity_mappings[0].sw_if_index) def test_ipfix_nat44_sess(self): """ NAT44EI IPFIX logging NAT44EI session created/deleted """ self.ipfix_domain_id = 10 self.ipfix_src_port = 20202 collector_port = 30303 bind_layers(UDP, IPFIX, dport=30303) self.nat44_add_address(self.nat_addr) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, is_add=1) self.vapi.set_ipfix_exporter(collector_address=self.pg3.remote_ip4, src_address=self.pg3.local_ip4, path_mtu=512, template_interval=10, collector_port=collector_port) self.vapi.nat_ipfix_enable_disable(domain_id=self.ipfix_domain_id, src_port=self.ipfix_src_port, enable=1) pkts = self.create_stream_in(self.pg0, self.pg1) self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg1.get_capture(len(pkts)) self.verify_capture_out(capture) self.nat44_add_address(self.nat_addr, is_add=0) self.vapi.ipfix_flush() capture = self.pg3.get_capture(7) ipfix = IPFIXDecoder() # first load template for p in capture: self.assertTrue(p.haslayer(IPFIX)) self.assertEqual(p[IP].src, self.pg3.local_ip4) self.assertEqual(p[IP].dst, self.pg3.remote_ip4) self.assertEqual(p[UDP].sport, self.ipfix_src_port) self.assertEqual(p[UDP].dport, collector_port) self.assertEqual(p[IPFIX].observationDomainID, self.ipfix_domain_id) if p.haslayer(Template): ipfix.add_template(p.getlayer(Template)) # verify events in data set for p in capture: if p.haslayer(Data): data = ipfix.decode_data_set(p.getlayer(Set)) self.verify_ipfix_nat44_ses(data) def test_ipfix_addr_exhausted(self): """ NAT44EI IPFIX logging NAT addresses exhausted """ flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, is_add=1) self.vapi.set_ipfix_exporter(collector_address=self.pg3.remote_ip4, src_address=self.pg3.local_ip4, path_mtu=512, template_interval=10) self.vapi.nat_ipfix_enable_disable(domain_id=self.ipfix_domain_id, src_port=self.ipfix_src_port, enable=1) p = (Ether(src=self.pg0.remote_mac, dst=self.pg0.local_mac) / IP(src=self.pg0.remote_ip4, dst=self.pg1.remote_ip4) / TCP(sport=3025)) self.pg0.add_stream(p) self.pg_enable_capture(self.pg_interfaces) self.pg_start() self.pg1.assert_nothing_captured() sleep(1) self.vapi.ipfix_flush() capture = self.pg3.get_capture(7) ipfix = IPFIXDecoder() # first load template for p in capture: self.assertTrue(p.haslayer(IPFIX)) self.assertEqual(p[IP].src, self.pg3.local_ip4) self.assertEqual(p[IP].dst, self.pg3.remote_ip4) self.assertEqual(p[UDP].sport, self.ipfix_src_port) self.assertEqual(p[UDP].dport, 4739) self.assertEqual(p[IPFIX].observationDomainID, self.ipfix_domain_id) if p.haslayer(Template): ipfix.add_template(p.getlayer(Template)) # verify events in data set for p in capture: if p.haslayer(Data): data = ipfix.decode_data_set(p.getlayer(Set)) self.verify_ipfix_addr_exhausted(data) def test_ipfix_max_sessions(self): """ NAT44EI IPFIX logging maximum session entries exceeded """ self.nat44_add_address(self.nat_addr) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, is_add=1) max_sessions = self.max_translations pkts = [] for i in range(0, max_sessions): src = "10.10.%u.%u" % ((i & 0xFF00) >> 8, i & 0xFF) p = (Ether(dst=self.pg0.local_mac, src=self.pg0.remote_mac) / IP(src=src, dst=self.pg1.remote_ip4) / TCP(sport=1025)) pkts.append(p) self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() self.pg1.get_capture(max_sessions) self.vapi.set_ipfix_exporter(collector_address=self.pg3.remote_ip4, src_address=self.pg3.local_ip4, path_mtu=512, template_interval=10) self.vapi.nat_ipfix_enable_disable(domain_id=self.ipfix_domain_id, src_port=self.ipfix_src_port, enable=1) p = (Ether(dst=self.pg0.local_mac, src=self.pg0.remote_mac) / IP(src=self.pg0.remote_ip4, dst=self.pg1.remote_ip4) / TCP(sport=1025)) self.pg0.add_stream(p) self.pg_enable_capture(self.pg_interfaces) self.pg_start() self.pg1.assert_nothing_captured() sleep(1) self.vapi.ipfix_flush() capture = self.pg3.get_capture(7) ipfix = IPFIXDecoder() # first load template for p in capture: self.assertTrue(p.haslayer(IPFIX)) self.assertEqual(p[IP].src, self.pg3.local_ip4) self.assertEqual(p[IP].dst, self.pg3.remote_ip4) self.assertEqual(p[UDP].sport, self.ipfix_src_port) self.assertEqual(p[UDP].dport, 4739) self.assertEqual(p[IPFIX].observationDomainID, self.ipfix_domain_id) if p.haslayer(Template): ipfix.add_template(p.getlayer(Template)) # verify events in data set for p in capture: if p.haslayer(Data): data = ipfix.decode_data_set(p.getlayer(Set)) self.verify_ipfix_max_sessions(data, max_sessions) def test_syslog_apmap(self): """ NAT44EI syslog address and port mapping creation and deletion """ self.vapi.syslog_set_filter( self.SYSLOG_SEVERITY.SYSLOG_API_SEVERITY_INFO) self.vapi.syslog_set_sender(self.pg3.local_ip4, self.pg3.remote_ip4) self.nat44_add_address(self.nat_addr) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, is_add=1) p = (Ether(dst=self.pg0.local_mac, src=self.pg0.remote_mac) / IP(src=self.pg0.remote_ip4, dst=self.pg1.remote_ip4) / TCP(sport=self.tcp_port_in, dport=20)) self.pg0.add_stream(p) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg1.get_capture(1) self.tcp_port_out = capture[0][TCP].sport capture = self.pg3.get_capture(1) self.verify_syslog_apmap(capture[0][Raw].load) self.pg_enable_capture(self.pg_interfaces) self.pg_start() self.nat44_add_address(self.nat_addr, is_add=0) capture = self.pg3.get_capture(1) self.verify_syslog_apmap(capture[0][Raw].load, False) def test_pool_addr_fib(self): """ NAT44EI add pool addresses to FIB """ static_addr = '10.0.0.10' self.nat44_add_address(self.nat_addr) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, is_add=1) self.nat44_add_static_mapping(self.pg0.remote_ip4, static_addr) # NAT44EI address p = (Ether(src=self.pg1.remote_mac, dst='ff:ff:ff:ff:ff:ff') / ARP(op=ARP.who_has, pdst=self.nat_addr, psrc=self.pg1.remote_ip4, hwsrc=self.pg1.remote_mac)) self.pg1.add_stream(p) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg1.get_capture(1) self.assertTrue(capture[0].haslayer(ARP)) self.assertTrue(capture[0][ARP].op, ARP.is_at) # 1:1 NAT address p = (Ether(src=self.pg1.remote_mac, dst='ff:ff:ff:ff:ff:ff') / ARP(op=ARP.who_has, pdst=static_addr, psrc=self.pg1.remote_ip4, hwsrc=self.pg1.remote_mac)) self.pg1.add_stream(p) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg1.get_capture(1) self.assertTrue(capture[0].haslayer(ARP)) self.assertTrue(capture[0][ARP].op, ARP.is_at) # send ARP to non-NAT44EI interface p = (Ether(src=self.pg2.remote_mac, dst='ff:ff:ff:ff:ff:ff') / ARP(op=ARP.who_has, pdst=self.nat_addr, psrc=self.pg2.remote_ip4, hwsrc=self.pg2.remote_mac)) self.pg2.add_stream(p) self.pg_enable_capture(self.pg_interfaces) self.pg_start() self.pg1.assert_nothing_captured() # remove addresses and verify self.nat44_add_address(self.nat_addr, is_add=0) self.nat44_add_static_mapping(self.pg0.remote_ip4, static_addr, is_add=0) p = (Ether(src=self.pg1.remote_mac, dst='ff:ff:ff:ff:ff:ff') / ARP(op=ARP.who_has, pdst=self.nat_addr, psrc=self.pg1.remote_ip4, hwsrc=self.pg1.remote_mac)) self.pg1.add_stream(p) self.pg_enable_capture(self.pg_interfaces) self.pg_start() self.pg1.assert_nothing_captured() p = (Ether(src=self.pg1.remote_mac, dst='ff:ff:ff:ff:ff:ff') / ARP(op=ARP.who_has, pdst=static_addr, psrc=self.pg1.remote_ip4, hwsrc=self.pg1.remote_mac)) self.pg1.add_stream(p) self.pg_enable_capture(self.pg_interfaces) self.pg_start() self.pg1.assert_nothing_captured() def test_vrf_mode(self): """ NAT44EI tenant VRF aware address pool mode """ vrf_id1 = 1 vrf_id2 = 2 nat_ip1 = "10.0.0.10" nat_ip2 = "10.0.0.11" self.pg0.unconfig_ip4() self.pg1.unconfig_ip4() self.vapi.ip_table_add_del(is_add=1, table={'table_id': vrf_id1}) self.vapi.ip_table_add_del(is_add=1, table={'table_id': vrf_id2}) self.pg0.set_table_ip4(vrf_id1) self.pg1.set_table_ip4(vrf_id2) self.pg0.config_ip4() self.pg1.config_ip4() self.pg0.resolve_arp() self.pg1.resolve_arp() self.nat44_add_address(nat_ip1, vrf_id=vrf_id1) self.nat44_add_address(nat_ip2, vrf_id=vrf_id2) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg2.sw_if_index, is_add=1) try: # first VRF pkts = self.create_stream_in(self.pg0, self.pg2) self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg2.get_capture(len(pkts)) self.verify_capture_out(capture, nat_ip1) # second VRF pkts = self.create_stream_in(self.pg1, self.pg2) self.pg1.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg2.get_capture(len(pkts)) self.verify_capture_out(capture, nat_ip2) finally: self.pg0.unconfig_ip4() self.pg1.unconfig_ip4() self.pg0.set_table_ip4(0) self.pg1.set_table_ip4(0) self.pg0.config_ip4() self.pg1.config_ip4() self.pg0.resolve_arp() self.pg1.resolve_arp() self.vapi.ip_table_add_del(is_add=0, table={'table_id': vrf_id1}) self.vapi.ip_table_add_del(is_add=0, table={'table_id': vrf_id2}) def test_vrf_feature_independent(self): """ NAT44EI tenant VRF independent address pool mode """ nat_ip1 = "10.0.0.10" nat_ip2 = "10.0.0.11" self.nat44_add_address(nat_ip1) self.nat44_add_address(nat_ip2, vrf_id=99) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg2.sw_if_index, is_add=1) # first VRF pkts = self.create_stream_in(self.pg0, self.pg2) self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg2.get_capture(len(pkts)) self.verify_capture_out(capture, nat_ip1) # second VRF pkts = self.create_stream_in(self.pg1, self.pg2) self.pg1.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg2.get_capture(len(pkts)) self.verify_capture_out(capture, nat_ip1) def test_dynamic_ipless_interfaces(self): """ NAT44EI interfaces without configured IP address """ self.create_routes_and_neigbors() self.nat44_add_address(self.nat_addr) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg7.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg8.sw_if_index, is_add=1) # in2out pkts = self.create_stream_in(self.pg7, self.pg8) self.pg7.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg8.get_capture(len(pkts)) self.verify_capture_out(capture) # out2in pkts = self.create_stream_out(self.pg8, self.nat_addr) self.pg8.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg7.get_capture(len(pkts)) self.verify_capture_in(capture, self.pg7) def test_static_ipless_interfaces(self): """ NAT44EI interfaces without configured IP address - 1:1 NAT """ self.create_routes_and_neigbors() self.nat44_add_static_mapping(self.pg7.remote_ip4, self.nat_addr) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg7.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg8.sw_if_index, is_add=1) # out2in pkts = self.create_stream_out(self.pg8) self.pg8.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg7.get_capture(len(pkts)) self.verify_capture_in(capture, self.pg7) # in2out pkts = self.create_stream_in(self.pg7, self.pg8) self.pg7.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg8.get_capture(len(pkts)) self.verify_capture_out(capture, self.nat_addr, True) def test_static_with_port_ipless_interfaces(self): """ NAT44EI interfaces without configured IP address - 1:1 NAPT """ self.tcp_port_out = 30606 self.udp_port_out = 30607 self.icmp_id_out = 30608 self.create_routes_and_neigbors() self.nat44_add_address(self.nat_addr) self.nat44_add_static_mapping(self.pg7.remote_ip4, self.nat_addr, self.tcp_port_in, self.tcp_port_out, proto=IP_PROTOS.tcp) self.nat44_add_static_mapping(self.pg7.remote_ip4, self.nat_addr, self.udp_port_in, self.udp_port_out, proto=IP_PROTOS.udp) self.nat44_add_static_mapping(self.pg7.remote_ip4, self.nat_addr, self.icmp_id_in, self.icmp_id_out, proto=IP_PROTOS.icmp) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg7.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg8.sw_if_index, is_add=1) # out2in pkts = self.create_stream_out(self.pg8) self.pg8.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg7.get_capture(len(pkts)) self.verify_capture_in(capture, self.pg7) # in2out pkts = self.create_stream_in(self.pg7, self.pg8) self.pg7.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg8.get_capture(len(pkts)) self.verify_capture_out(capture) def test_static_unknown_proto(self): """ NAT44EI 1:1 translate packet with unknown protocol """ nat_ip = "10.0.0.10" self.nat44_add_static_mapping(self.pg0.remote_ip4, nat_ip) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, is_add=1) # in2out p = (Ether(dst=self.pg0.local_mac, src=self.pg0.remote_mac) / IP(src=self.pg0.remote_ip4, dst=self.pg1.remote_ip4) / GRE() / IP(src=self.pg2.remote_ip4, dst=self.pg3.remote_ip4) / TCP(sport=1234, dport=1234)) self.pg0.add_stream(p) self.pg_enable_capture(self.pg_interfaces) self.pg_start() p = self.pg1.get_capture(1) packet = p[0] try: self.assertEqual(packet[IP].src, nat_ip) self.assertEqual(packet[IP].dst, self.pg1.remote_ip4) self.assertEqual(packet.haslayer(GRE), 1) self.assert_packet_checksums_valid(packet) except: self.logger.error(ppp("Unexpected or invalid packet:", packet)) raise # out2in p = (Ether(dst=self.pg1.local_mac, src=self.pg1.remote_mac) / IP(src=self.pg1.remote_ip4, dst=nat_ip) / GRE() / IP(src=self.pg3.remote_ip4, dst=self.pg2.remote_ip4) / TCP(sport=1234, dport=1234)) self.pg1.add_stream(p) self.pg_enable_capture(self.pg_interfaces) self.pg_start() p = self.pg0.get_capture(1) packet = p[0] try: self.assertEqual(packet[IP].src, self.pg1.remote_ip4) self.assertEqual(packet[IP].dst, self.pg0.remote_ip4) self.assertEqual(packet.haslayer(GRE), 1) self.assert_packet_checksums_valid(packet) except: self.logger.error(ppp("Unexpected or invalid packet:", packet)) raise def test_hairpinning_static_unknown_proto(self): """ NAT44EI 1:1 translate packet with unknown protocol - hairpinning """ host = self.pg0.remote_hosts[0] server = self.pg0.remote_hosts[1] host_nat_ip = "10.0.0.10" server_nat_ip = "10.0.0.11" self.nat44_add_static_mapping(host.ip4, host_nat_ip) self.nat44_add_static_mapping(server.ip4, server_nat_ip) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, is_add=1) # host to server p = (Ether(dst=self.pg0.local_mac, src=host.mac) / IP(src=host.ip4, dst=server_nat_ip) / GRE() / IP(src=self.pg2.remote_ip4, dst=self.pg3.remote_ip4) / TCP(sport=1234, dport=1234)) self.pg0.add_stream(p) self.pg_enable_capture(self.pg_interfaces) self.pg_start() p = self.pg0.get_capture(1) packet = p[0] try: self.assertEqual(packet[IP].src, host_nat_ip) self.assertEqual(packet[IP].dst, server.ip4) self.assertEqual(packet.haslayer(GRE), 1) self.assert_packet_checksums_valid(packet) except: self.logger.error(ppp("Unexpected or invalid packet:", packet)) raise # server to host p = (Ether(dst=self.pg0.local_mac, src=server.mac) / IP(src=server.ip4, dst=host_nat_ip) / GRE() / IP(src=self.pg3.remote_ip4, dst=self.pg2.remote_ip4) / TCP(sport=1234, dport=1234)) self.pg0.add_stream(p) self.pg_enable_capture(self.pg_interfaces) self.pg_start() p = self.pg0.get_capture(1) packet = p[0] try: self.assertEqual(packet[IP].src, server_nat_ip) self.assertEqual(packet[IP].dst, host.ip4) self.assertEqual(packet.haslayer(GRE), 1) self.assert_packet_checksums_valid(packet) except: self.logger.error(ppp("Unexpected or invalid packet:", packet)) raise def test_output_feature(self): """ NAT44EI output feature (in2out postrouting) """ self.nat44_add_address(self.nat_addr) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_output_feature( is_add=1, flags=flags, sw_if_index=self.pg0.sw_if_index) self.vapi.nat44_interface_add_del_output_feature( is_add=1, flags=flags, sw_if_index=self.pg1.sw_if_index) self.vapi.nat44_interface_add_del_output_feature( is_add=1, sw_if_index=self.pg3.sw_if_index) # in2out pkts = self.create_stream_in(self.pg0, self.pg3) self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg3.get_capture(len(pkts)) self.verify_capture_out(capture) # out2in pkts = self.create_stream_out(self.pg3) self.pg3.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg0.get_capture(len(pkts)) self.verify_capture_in(capture, self.pg0) # from non-NAT interface to NAT inside interface pkts = self.create_stream_in(self.pg2, self.pg0) self.pg2.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg0.get_capture(len(pkts)) self.verify_capture_no_translation(capture, self.pg2, self.pg0) def test_output_feature_vrf_aware(self): """ NAT44EI output feature VRF aware (in2out postrouting) """ nat_ip_vrf10 = "10.0.0.10" nat_ip_vrf20 = "10.0.0.20" r1 = VppIpRoute(self, self.pg3.remote_ip4, 32, [VppRoutePath(self.pg3.remote_ip4, self.pg3.sw_if_index)], table_id=10) r2 = VppIpRoute(self, self.pg3.remote_ip4, 32, [VppRoutePath(self.pg3.remote_ip4, self.pg3.sw_if_index)], table_id=20) r1.add_vpp_config() r2.add_vpp_config() self.nat44_add_address(nat_ip_vrf10, vrf_id=10) self.nat44_add_address(nat_ip_vrf20, vrf_id=20) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_output_feature( is_add=1, flags=flags, sw_if_index=self.pg4.sw_if_index) self.vapi.nat44_interface_add_del_output_feature( is_add=1, flags=flags, sw_if_index=self.pg6.sw_if_index) self.vapi.nat44_interface_add_del_output_feature( is_add=1, sw_if_index=self.pg3.sw_if_index) # in2out VRF 10 pkts = self.create_stream_in(self.pg4, self.pg3) self.pg4.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg3.get_capture(len(pkts)) self.verify_capture_out(capture, nat_ip=nat_ip_vrf10) # out2in VRF 10 pkts = self.create_stream_out(self.pg3, dst_ip=nat_ip_vrf10) self.pg3.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg4.get_capture(len(pkts)) self.verify_capture_in(capture, self.pg4) # in2out VRF 20 pkts = self.create_stream_in(self.pg6, self.pg3) self.pg6.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg3.get_capture(len(pkts)) self.verify_capture_out(capture, nat_ip=nat_ip_vrf20) # out2in VRF 20 pkts = self.create_stream_out(self.pg3, dst_ip=nat_ip_vrf20) self.pg3.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg6.get_capture(len(pkts)) self.verify_capture_in(capture, self.pg6) def test_output_feature_hairpinning(self): """ NAT44EI output feature hairpinning (in2out postrouting) """ host = self.pg0.remote_hosts[0] server = self.pg0.remote_hosts[1] host_in_port = 1234 host_out_port = 0 server_in_port = 5678 server_out_port = 8765 self.nat44_add_address(self.nat_addr) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_output_feature( is_add=1, flags=flags, sw_if_index=self.pg0.sw_if_index) self.vapi.nat44_interface_add_del_output_feature( is_add=1, sw_if_index=self.pg1.sw_if_index) # add static mapping for server self.nat44_add_static_mapping(server.ip4, self.nat_addr, server_in_port, server_out_port, proto=IP_PROTOS.tcp) # send packet from host to server p = (Ether(src=host.mac, dst=self.pg0.local_mac) / IP(src=host.ip4, dst=self.nat_addr) / TCP(sport=host_in_port, dport=server_out_port)) self.pg0.add_stream(p) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg0.get_capture(1) p = capture[0] try: ip = p[IP] tcp = p[TCP] self.assertEqual(ip.src, self.nat_addr) self.assertEqual(ip.dst, server.ip4) self.assertNotEqual(tcp.sport, host_in_port) self.assertEqual(tcp.dport, server_in_port) self.assert_packet_checksums_valid(p) host_out_port = tcp.sport except: self.logger.error(ppp("Unexpected or invalid packet:", p)) raise # send reply from server to host p = (Ether(src=server.mac, dst=self.pg0.local_mac) / IP(src=server.ip4, dst=self.nat_addr) / TCP(sport=server_in_port, dport=host_out_port)) self.pg0.add_stream(p) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg0.get_capture(1) p = capture[0] try: ip = p[IP] tcp = p[TCP] self.assertEqual(ip.src, self.nat_addr) self.assertEqual(ip.dst, host.ip4) self.assertEqual(tcp.sport, server_out_port) self.assertEqual(tcp.dport, host_in_port) self.assert_packet_checksums_valid(p) except: self.logger.error(ppp("Unexpected or invalid packet:", p)) raise def test_one_armed_nat44(self): """ NAT44EI One armed NAT """ remote_host = self.pg9.remote_hosts[0] local_host = self.pg9.remote_hosts[1] external_port = 0 self.nat44_add_address(self.nat_addr) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg9.sw_if_index, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg9.sw_if_index, flags=flags, is_add=1) # in2out p = (Ether(src=self.pg9.remote_mac, dst=self.pg9.local_mac) / IP(src=local_host.ip4, dst=remote_host.ip4) / TCP(sport=12345, dport=80)) self.pg9.add_stream(p) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg9.get_capture(1) p = capture[0] try: ip = p[IP] tcp = p[TCP] self.assertEqual(ip.src, self.nat_addr) self.assertEqual(ip.dst, remote_host.ip4) self.assertNotEqual(tcp.sport, 12345) external_port = tcp.sport self.assertEqual(tcp.dport, 80) self.assert_packet_checksums_valid(p) except: self.logger.error(ppp("Unexpected or invalid packet:", p)) raise # out2in p = (Ether(src=self.pg9.remote_mac, dst=self.pg9.local_mac) / IP(src=remote_host.ip4, dst=self.nat_addr) / TCP(sport=80, dport=external_port)) self.pg9.add_stream(p) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg9.get_capture(1) p = capture[0] try: ip = p[IP] tcp = p[TCP] self.assertEqual(ip.src, remote_host.ip4) self.assertEqual(ip.dst, local_host.ip4) self.assertEqual(tcp.sport, 80) self.assertEqual(tcp.dport, 12345) self.assert_packet_checksums_valid(p) except: self.logger.error(ppp("Unexpected or invalid packet:", p)) raise err = self.statistics.get_err_counter( '/err/nat44-classify/next in2out') self.assertEqual(err, 1) err = self.statistics.get_err_counter( '/err/nat44-classify/next out2in') self.assertEqual(err, 1) def test_del_session(self): """ NAT44EI delete session """ self.nat44_add_address(self.nat_addr) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, is_add=1) pkts = self.create_stream_in(self.pg0, self.pg1) self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() self.pg1.get_capture(len(pkts)) sessions = self.vapi.nat44_user_session_dump(self.pg0.remote_ip4, 0) nsessions = len(sessions) self.vapi.nat44_del_session(address=sessions[0].inside_ip_address, port=sessions[0].inside_port, protocol=sessions[0].protocol, flags=self.config_flags.NAT_IS_INSIDE) self.vapi.nat44_del_session(address=sessions[1].outside_ip_address, port=sessions[1].outside_port, protocol=sessions[1].protocol) sessions = self.vapi.nat44_user_session_dump(self.pg0.remote_ip4, 0) self.assertEqual(nsessions - len(sessions), 2) self.vapi.nat44_del_session(address=sessions[0].inside_ip_address, port=sessions[0].inside_port, protocol=sessions[0].protocol, flags=self.config_flags.NAT_IS_INSIDE) self.verify_no_nat44_user() def test_frag_in_order(self): """ NAT44EI translate fragments arriving in order """ self.nat44_add_address(self.nat_addr) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, is_add=1) self.frag_in_order(proto=IP_PROTOS.tcp) self.frag_in_order(proto=IP_PROTOS.udp) self.frag_in_order(proto=IP_PROTOS.icmp) def test_frag_forwarding(self): """ NAT44EI forwarding fragment test """ self.vapi.nat44_add_del_interface_addr( is_add=1, sw_if_index=self.pg1.sw_if_index) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, is_add=1) self.vapi.nat44_forwarding_enable_disable(enable=1) data = b"A" * 16 + b"B" * 16 + b"C" * 3 pkts = self.create_stream_frag(self.pg1, self.pg0.remote_ip4, 4789, 4789, data, proto=IP_PROTOS.udp) self.pg1.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() frags = self.pg0.get_capture(len(pkts)) p = self.reass_frags_and_verify(frags, self.pg1.remote_ip4, self.pg0.remote_ip4) self.assertEqual(p[UDP].sport, 4789) self.assertEqual(p[UDP].dport, 4789) self.assertEqual(data, p[Raw].load) def test_reass_hairpinning(self): """ NAT44EI fragments hairpinning """ server_addr = self.pg0.remote_hosts[1].ip4 host_in_port = random.randint(1025, 65535) server_in_port = random.randint(1025, 65535) server_out_port = random.randint(1025, 65535) self.nat44_add_address(self.nat_addr) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, is_add=1) # add static mapping for server self.nat44_add_static_mapping(server_addr, self.nat_addr, server_in_port, server_out_port, proto=IP_PROTOS.tcp) self.nat44_add_static_mapping(server_addr, self.nat_addr, server_in_port, server_out_port, proto=IP_PROTOS.udp) self.nat44_add_static_mapping(server_addr, self.nat_addr) self.reass_hairpinning(server_addr, server_in_port, server_out_port, host_in_port, proto=IP_PROTOS.tcp) self.reass_hairpinning(server_addr, server_in_port, server_out_port, host_in_port, proto=IP_PROTOS.udp) self.reass_hairpinning(server_addr, server_in_port, server_out_port, host_in_port, proto=IP_PROTOS.icmp) def test_frag_out_of_order(self): """ NAT44EI translate fragments arriving out of order """ self.nat44_add_address(self.nat_addr) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, is_add=1) self.frag_out_of_order(proto=IP_PROTOS.tcp) self.frag_out_of_order(proto=IP_PROTOS.udp) self.frag_out_of_order(proto=IP_PROTOS.icmp) def test_port_restricted(self): """ NAT44EI Port restricted NAT44EI (MAP-E CE) """ self.nat44_add_address(self.nat_addr) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, is_add=1) self.vapi.nat_set_addr_and_port_alloc_alg(alg=1, psid_offset=6, psid_length=6, psid=10) p = (Ether(src=self.pg0.remote_mac, dst=self.pg0.local_mac) / IP(src=self.pg0.remote_ip4, dst=self.pg1.remote_ip4) / TCP(sport=4567, dport=22)) self.pg0.add_stream(p) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg1.get_capture(1) p = capture[0] try: ip = p[IP] tcp = p[TCP] self.assertEqual(ip.dst, self.pg1.remote_ip4) self.assertEqual(ip.src, self.nat_addr) self.assertEqual(tcp.dport, 22) self.assertNotEqual(tcp.sport, 4567) self.assertEqual((tcp.sport >> 6) & 63, 10) self.assert_packet_checksums_valid(p) except: self.logger.error(ppp("Unexpected or invalid packet:", p)) raise def test_port_range(self): """ NAT44EI External address port range """ self.nat44_add_address(self.nat_addr) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, is_add=1) self.vapi.nat_set_addr_and_port_alloc_alg(alg=2, start_port=1025, end_port=1027) pkts = [] for port in range(0, 5): p = (Ether(dst=self.pg0.local_mac, src=self.pg0.remote_mac) / IP(src=self.pg0.remote_ip4, dst=self.pg1.remote_ip4) / TCP(sport=1125 + port)) pkts.append(p) self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg1.get_capture(3) for p in capture: tcp = p[TCP] self.assertGreaterEqual(tcp.sport, 1025) self.assertLessEqual(tcp.sport, 1027) def test_multiple_outside_vrf(self): """ NAT44EI Multiple outside VRF """ vrf_id1 = 1 vrf_id2 = 2 self.pg1.unconfig_ip4() self.pg2.unconfig_ip4() self.vapi.ip_table_add_del(is_add=1, table={'table_id': vrf_id1}) self.vapi.ip_table_add_del(is_add=1, table={'table_id': vrf_id2}) self.pg1.set_table_ip4(vrf_id1) self.pg2.set_table_ip4(vrf_id2) self.pg1.config_ip4() self.pg2.config_ip4() self.pg1.resolve_arp() self.pg2.resolve_arp() self.nat44_add_address(self.nat_addr) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg2.sw_if_index, is_add=1) try: # first VRF pkts = self.create_stream_in(self.pg0, self.pg1) self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg1.get_capture(len(pkts)) self.verify_capture_out(capture, self.nat_addr) pkts = self.create_stream_out(self.pg1, self.nat_addr) self.pg1.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg0.get_capture(len(pkts)) self.verify_capture_in(capture, self.pg0) self.tcp_port_in = 60303 self.udp_port_in = 60304 self.icmp_id_in = 60305 # second VRF pkts = self.create_stream_in(self.pg0, self.pg2) self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg2.get_capture(len(pkts)) self.verify_capture_out(capture, self.nat_addr) pkts = self.create_stream_out(self.pg2, self.nat_addr) self.pg2.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg0.get_capture(len(pkts)) self.verify_capture_in(capture, self.pg0) finally: self.nat44_add_address(self.nat_addr, is_add=0) self.pg1.unconfig_ip4() self.pg2.unconfig_ip4() self.pg1.set_table_ip4(0) self.pg2.set_table_ip4(0) self.pg1.config_ip4() self.pg2.config_ip4() self.pg1.resolve_arp() self.pg2.resolve_arp() def test_mss_clamping(self): """ NAT44EI TCP MSS clamping """ self.nat44_add_address(self.nat_addr) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, is_add=1) p = (Ether(src=self.pg0.remote_mac, dst=self.pg0.local_mac) / IP(src=self.pg0.remote_ip4, dst=self.pg1.remote_ip4) / TCP(sport=self.tcp_port_in, dport=self.tcp_external_port, flags="S", options=[('MSS', 1400)])) self.vapi.nat_set_mss_clamping(enable=1, mss_value=1000) self.pg0.add_stream(p) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg1.get_capture(1) # Negotiated MSS value greater than configured - changed self.verify_mss_value(capture[0], 1000) self.vapi.nat_set_mss_clamping(enable=0, mss_value=1500) self.pg0.add_stream(p) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg1.get_capture(1) # MSS clamping disabled - negotiated MSS unchanged self.verify_mss_value(capture[0], 1400) self.vapi.nat_set_mss_clamping(enable=1, mss_value=1500) self.pg0.add_stream(p) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg1.get_capture(1) # Negotiated MSS value smaller than configured - unchanged self.verify_mss_value(capture[0], 1400) def test_ha_send(self): """ NAT44EI Send HA session synchronization events (active) """ flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, is_add=1) self.nat44_add_address(self.nat_addr) self.vapi.nat_ha_set_listener(ip_address=self.pg3.local_ip4, port=12345, path_mtu=512) self.vapi.nat_ha_set_failover(ip_address=self.pg3.remote_ip4, port=12346, session_refresh_interval=10) bind_layers(UDP, HANATStateSync, sport=12345) # create sessions pkts = self.create_stream_in(self.pg0, self.pg1) self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg1.get_capture(len(pkts)) self.verify_capture_out(capture) # active send HA events self.vapi.nat_ha_flush() stats = self.statistics.get_counter('/nat44/ha/add-event-send') self.assertEqual(stats[0][0], 3) capture = self.pg3.get_capture(1) p = capture[0] self.assert_packet_checksums_valid(p) try: ip = p[IP] udp = p[UDP] hanat = p[HANATStateSync] except IndexError: self.logger.error(ppp("Invalid packet:", p)) raise else: self.assertEqual(ip.src, self.pg3.local_ip4) self.assertEqual(ip.dst, self.pg3.remote_ip4) self.assertEqual(udp.sport, 12345) self.assertEqual(udp.dport, 12346) self.assertEqual(hanat.version, 1) self.assertEqual(hanat.thread_index, 0) self.assertEqual(hanat.count, 3) seq = hanat.sequence_number for event in hanat.events: self.assertEqual(event.event_type, 1) self.assertEqual(event.in_addr, self.pg0.remote_ip4) self.assertEqual(event.out_addr, self.nat_addr) self.assertEqual(event.fib_index, 0) # ACK received events ack = (Ether(dst=self.pg3.local_mac, src=self.pg3.remote_mac) / IP(src=self.pg3.remote_ip4, dst=self.pg3.local_ip4) / UDP(sport=12346, dport=12345) / HANATStateSync(sequence_number=seq, flags='ACK')) self.pg3.add_stream(ack) self.pg_start() stats = self.statistics.get_counter('/nat44/ha/ack-recv') self.assertEqual(stats[0][0], 1) # delete one session self.pg_enable_capture(self.pg_interfaces) self.vapi.nat44_del_session(address=self.pg0.remote_ip4, port=self.tcp_port_in, protocol=IP_PROTOS.tcp, flags=self.config_flags.NAT_IS_INSIDE) self.vapi.nat_ha_flush() stats = self.statistics.get_counter('/nat44/ha/del-event-send') self.assertEqual(stats[0][0], 1) capture = self.pg3.get_capture(1) p = capture[0] try: hanat = p[HANATStateSync] except IndexError: self.logger.error(ppp("Invalid packet:", p)) raise else: self.assertGreater(hanat.sequence_number, seq) # do not send ACK, active retry send HA event again self.pg_enable_capture(self.pg_interfaces) sleep(12) stats = self.statistics.get_counter('/nat44/ha/retry-count') self.assertEqual(stats[0][0], 3) stats = self.statistics.get_counter('/nat44/ha/missed-count') self.assertEqual(stats[0][0], 1) capture = self.pg3.get_capture(3) for packet in capture: self.assertEqual(packet, p) # session counters refresh pkts = self.create_stream_out(self.pg1) self.pg1.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() self.pg0.get_capture(2) self.vapi.nat_ha_flush() stats = self.statistics.get_counter('/nat44/ha/refresh-event-send') self.assertEqual(stats[0][0], 2) capture = self.pg3.get_capture(1) p = capture[0] self.assert_packet_checksums_valid(p) try: ip = p[IP] udp = p[UDP] hanat = p[HANATStateSync] except IndexError: self.logger.error(ppp("Invalid packet:", p)) raise else: self.assertEqual(ip.src, self.pg3.local_ip4) self.assertEqual(ip.dst, self.pg3.remote_ip4) self.assertEqual(udp.sport, 12345) self.assertEqual(udp.dport, 12346) self.assertEqual(hanat.version, 1) self.assertEqual(hanat.count, 2) seq = hanat.sequence_number for event in hanat.events: self.assertEqual(event.event_type, 3) self.assertEqual(event.out_addr, self.nat_addr) self.assertEqual(event.fib_index, 0) self.assertEqual(event.total_pkts, 2) self.assertGreater(event.total_bytes, 0) ack = (Ether(dst=self.pg3.local_mac, src=self.pg3.remote_mac) / IP(src=self.pg3.remote_ip4, dst=self.pg3.local_ip4) / UDP(sport=12346, dport=12345) / HANATStateSync(sequence_number=seq, flags='ACK')) self.pg3.add_stream(ack) self.pg_start() stats = self.statistics.get_counter('/nat44/ha/ack-recv') self.assertEqual(stats[0][0], 2) def test_ha_recv(self): """ NAT44EI Receive HA session synchronization events (passive) """ self.nat44_add_address(self.nat_addr) flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg1.sw_if_index, is_add=1) self.vapi.nat_ha_set_listener(ip_address=self.pg3.local_ip4, port=12345, path_mtu=512) bind_layers(UDP, HANATStateSync, sport=12345) self.tcp_port_out = random.randint(1025, 65535) self.udp_port_out = random.randint(1025, 65535) # send HA session add events to failover/passive p = (Ether(dst=self.pg3.local_mac, src=self.pg3.remote_mac) / IP(src=self.pg3.remote_ip4, dst=self.pg3.local_ip4) / UDP(sport=12346, dport=12345) / HANATStateSync(sequence_number=1, events=[ Event(event_type='add', protocol='tcp', in_addr=self.pg0.remote_ip4, out_addr=self.nat_addr, in_port=self.tcp_port_in, out_port=self.tcp_port_out, eh_addr=self.pg1.remote_ip4, ehn_addr=self.pg1.remote_ip4, eh_port=self.tcp_external_port, ehn_port=self.tcp_external_port, fib_index=0), Event(event_type='add', protocol='udp', in_addr=self.pg0.remote_ip4, out_addr=self.nat_addr, in_port=self.udp_port_in, out_port=self.udp_port_out, eh_addr=self.pg1.remote_ip4, ehn_addr=self.pg1.remote_ip4, eh_port=self.udp_external_port, ehn_port=self.udp_external_port, fib_index=0)])) self.pg3.add_stream(p) self.pg_enable_capture(self.pg_interfaces) self.pg_start() # receive ACK capture = self.pg3.get_capture(1) p = capture[0] try: hanat = p[HANATStateSync] except IndexError: self.logger.error(ppp("Invalid packet:", p)) raise else: self.assertEqual(hanat.sequence_number, 1) self.assertEqual(hanat.flags, 'ACK') self.assertEqual(hanat.version, 1) self.assertEqual(hanat.thread_index, 0) stats = self.statistics.get_counter('/nat44/ha/ack-send') self.assertEqual(stats[0][0], 1) stats = self.statistics.get_counter('/nat44/ha/add-event-recv') self.assertEqual(stats[0][0], 2) users = self.statistics.get_counter('/nat44/total-users') self.assertEqual(users[0][0], 1) sessions = self.statistics.get_counter('/nat44/total-sessions') self.assertEqual(sessions[0][0], 2) users = self.vapi.nat44_user_dump() self.assertEqual(len(users), 1) self.assertEqual(str(users[0].ip_address), self.pg0.remote_ip4) # there should be 2 sessions created by HA sessions = self.vapi.nat44_user_session_dump(users[0].ip_address, users[0].vrf_id) self.assertEqual(len(sessions), 2) for session in sessions: self.assertEqual(str(session.inside_ip_address), self.pg0.remote_ip4) self.assertEqual(str(session.outside_ip_address), self.nat_addr) self.assertIn(session.inside_port, [self.tcp_port_in, self.udp_port_in]) self.assertIn(session.outside_port, [self.tcp_port_out, self.udp_port_out]) self.assertIn(session.protocol, [IP_PROTOS.tcp, IP_PROTOS.udp]) # send HA session delete event to failover/passive p = (Ether(dst=self.pg3.local_mac, src=self.pg3.remote_mac) / IP(src=self.pg3.remote_ip4, dst=self.pg3.local_ip4) / UDP(sport=12346, dport=12345) / HANATStateSync(sequence_number=2, events=[ Event(event_type='del', protocol='udp', in_addr=self.pg0.remote_ip4, out_addr=self.nat_addr, in_port=self.udp_port_in, out_port=self.udp_port_out, eh_addr=self.pg1.remote_ip4, ehn_addr=self.pg1.remote_ip4, eh_port=self.udp_external_port, ehn_port=self.udp_external_port, fib_index=0)])) self.pg3.add_stream(p) self.pg_enable_capture(self.pg_interfaces) self.pg_start() # receive ACK capture = self.pg3.get_capture(1) p = capture[0] try: hanat = p[HANATStateSync] except IndexError: self.logger.error(ppp("Invalid packet:", p)) raise else: self.assertEqual(hanat.sequence_number, 2) self.assertEqual(hanat.flags, 'ACK') self.assertEqual(hanat.version, 1) users = self.vapi.nat44_user_dump() self.assertEqual(len(users), 1) self.assertEqual(str(users[0].ip_address), self.pg0.remote_ip4) # now we should have only 1 session, 1 deleted by HA sessions = self.vapi.nat44_user_session_dump(users[0].ip_address, users[0].vrf_id) self.assertEqual(len(sessions), 1) stats = self.statistics.get_counter('/nat44/ha/del-event-recv') self.assertEqual(stats[0][0], 1) stats = self.statistics.get_err_counter('/err/nat-ha/pkts-processed') self.assertEqual(stats, 2) # send HA session refresh event to failover/passive p = (Ether(dst=self.pg3.local_mac, src=self.pg3.remote_mac) / IP(src=self.pg3.remote_ip4, dst=self.pg3.local_ip4) / UDP(sport=12346, dport=12345) / HANATStateSync(sequence_number=3, events=[ Event(event_type='refresh', protocol='tcp', in_addr=self.pg0.remote_ip4, out_addr=self.nat_addr, in_port=self.tcp_port_in, out_port=self.tcp_port_out, eh_addr=self.pg1.remote_ip4, ehn_addr=self.pg1.remote_ip4, eh_port=self.tcp_external_port, ehn_port=self.tcp_external_port, fib_index=0, total_bytes=1024, total_pkts=2)])) self.pg3.add_stream(p) self.pg_enable_capture(self.pg_interfaces) self.pg_start() # receive ACK capture = self.pg3.get_capture(1) p = capture[0] try: hanat = p[HANATStateSync] except IndexError: self.logger.error(ppp("Invalid packet:", p)) raise else: self.assertEqual(hanat.sequence_number, 3) self.assertEqual(hanat.flags, 'ACK') self.assertEqual(hanat.version, 1) users = self.vapi.nat44_user_dump() self.assertEqual(len(users), 1) self.assertEqual(str(users[0].ip_address), self.pg0.remote_ip4) sessions = self.vapi.nat44_user_session_dump(users[0].ip_address, users[0].vrf_id) self.assertEqual(len(sessions), 1) session = sessions[0] self.assertEqual(session.total_bytes, 1024) self.assertEqual(session.total_pkts, 2) stats = self.statistics.get_counter('/nat44/ha/refresh-event-recv') self.assertEqual(stats[0][0], 1) stats = self.statistics.get_err_counter('/err/nat-ha/pkts-processed') self.assertEqual(stats, 3) # send packet to test session created by HA p = (Ether(dst=self.pg1.local_mac, src=self.pg1.remote_mac) / IP(src=self.pg1.remote_ip4, dst=self.nat_addr) / TCP(sport=self.tcp_external_port, dport=self.tcp_port_out)) self.pg1.add_stream(p) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg0.get_capture(1) p = capture[0] try: ip = p[IP] tcp = p[TCP] except IndexError: self.logger.error(ppp("Invalid packet:", p)) raise else: self.assertEqual(ip.src, self.pg1.remote_ip4) self.assertEqual(ip.dst, self.pg0.remote_ip4) self.assertEqual(tcp.sport, self.tcp_external_port) self.assertEqual(tcp.dport, self.tcp_port_in) def show_commands_at_teardown(self): self.logger.info(self.vapi.cli("show nat44 addresses")) self.logger.info(self.vapi.cli("show nat44 interfaces")) self.logger.info(self.vapi.cli("show nat44 static mappings")) self.logger.info(self.vapi.cli("show nat44 interface address")) self.logger.info(self.vapi.cli("show nat44 sessions detail")) self.logger.info(self.vapi.cli("show nat44 hash tables detail")) self.logger.info(self.vapi.cli("show nat timeouts")) self.logger.info( self.vapi.cli("show nat addr-port-assignment-alg")) self.logger.info(self.vapi.cli("show nat ha")) class TestNAT44Out2InDPO(MethodHolder): """ NAT44EI Test Cases using out2in DPO """ @classmethod def setUpClass(cls): super(TestNAT44Out2InDPO, cls).setUpClass() cls.vapi.cli("set log class nat level debug") cls.tcp_port_in = 6303 cls.tcp_port_out = 6303 cls.udp_port_in = 6304 cls.udp_port_out = 6304 cls.icmp_id_in = 6305 cls.icmp_id_out = 6305 cls.nat_addr = '10.0.0.3' cls.dst_ip4 = '192.168.70.1' cls.create_pg_interfaces(range(2)) cls.pg0.admin_up() cls.pg0.config_ip4() cls.pg0.resolve_arp() cls.pg1.admin_up() cls.pg1.config_ip6() cls.pg1.resolve_ndp() r1 = VppIpRoute(cls, "::", 0, [VppRoutePath(cls.pg1.remote_ip6, cls.pg1.sw_if_index)], register=False) r1.add_vpp_config() def setUp(self): super(TestNAT44Out2InDPO, self).setUp() flags = self.nat44_config_flags.NAT44_API_IS_OUT2IN_DPO self.vapi.nat44_plugin_enable_disable(enable=1, flags=flags) def tearDown(self): super(TestNAT44Out2InDPO, self).tearDown() if not self.vpp_dead: self.vapi.nat44_plugin_enable_disable(enable=0) self.vapi.cli("clear logging") def configure_xlat(self): self.dst_ip6_pfx = '1:2:3::' self.dst_ip6_pfx_n = socket.inet_pton(socket.AF_INET6, self.dst_ip6_pfx) self.dst_ip6_pfx_len = 96 self.src_ip6_pfx = '4:5:6::' self.src_ip6_pfx_n = socket.inet_pton(socket.AF_INET6, self.src_ip6_pfx) self.src_ip6_pfx_len = 96 self.vapi.map_add_domain(self.dst_ip6_pfx_n, self.dst_ip6_pfx_len, self.src_ip6_pfx_n, self.src_ip6_pfx_len, '\x00\x00\x00\x00', 0) @unittest.skip('Temporary disabled') def test_464xlat_ce(self): """ Test 464XLAT CE with NAT44EI """ nat_config = self.vapi.nat_show_config() self.assertEqual(1, nat_config.out2in_dpo) self.configure_xlat() flags = self.config_flags.NAT_IS_INSIDE self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags, is_add=1) self.vapi.nat44_add_del_address_range(first_ip_address=self.nat_addr_n, last_ip_address=self.nat_addr_n, vrf_id=0xFFFFFFFF, is_add=1) out_src_ip6 = self.compose_ip6(self.dst_ip4, self.dst_ip6_pfx, self.dst_ip6_pfx_len) out_dst_ip6 = self.compose_ip6(self.nat_addr, self.src_ip6_pfx, self.src_ip6_pfx_len) try: pkts = self.create_stream_in(self.pg0, self.pg1, self.dst_ip4) self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg1.get_capture(len(pkts)) self.verify_capture_out_ip6(capture, nat_ip=out_dst_ip6, dst_ip=out_src_ip6) pkts = self.create_stream_out_ip6(self.pg1, out_src_ip6, out_dst_ip6) self.pg1.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg0.get_capture(len(pkts)) self.verify_capture_in(capture, self.pg0) finally: self.vapi.nat44_interface_add_del_feature( sw_if_index=self.pg0.sw_if_index, flags=flags) self.vapi.nat44_add_del_address_range( first_ip_address=self.nat_addr_n, last_ip_address=self.nat_addr_n, vrf_id=0xFFFFFFFF) @unittest.skip('Temporary disabled') def test_464xlat_ce_no_nat(self): """ Test 464XLAT CE without NAT44EI """ self.configure_xlat() out_src_ip6 = self.compose_ip6(self.dst_ip4, self.dst_ip6_pfx, self.dst_ip6_pfx_len) out_dst_ip6 = self.compose_ip6(self.pg0.remote_ip4, self.src_ip6_pfx, self.src_ip6_pfx_len) pkts = self.create_stream_in(self.pg0, self.pg1, self.dst_ip4) self.pg0.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg1.get_capture(len(pkts)) self.verify_capture_out_ip6(capture, dst_ip=out_src_ip6, nat_ip=out_dst_ip6, same_port=True) pkts = self.create_stream_out_ip6(self.pg1, out_src_ip6, out_dst_ip6) self.pg1.add_stream(pkts) self.pg_enable_capture(self.pg_interfaces) self.pg_start() capture = self.pg0.get_capture(len(pkts)) self.verify_capture_in(capture, self.pg0) if __name__ == '__main__': unittest.main(testRunner=VppTestRunner)

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16cf46558728da781ea559f1313048ca9c49048d

33,335

py

Python

sdk/python/pulumi_azure/iot/endpoint_storage_container.py

pulumi/pulumi-azure

c62b6c1828de1facfd0d92425b72e22e229b0afc

[ "ECL-2.0", "Apache-2.0" ]

109

2018-06-18T00:19:44.000Z

2022-02-20T05:32:57.000Z

sdk/python/pulumi_azure/iot/endpoint_storage_container.py

pulumi/pulumi-azure

c62b6c1828de1facfd0d92425b72e22e229b0afc

[ "ECL-2.0", "Apache-2.0" ]

663

2018-06-18T21:08:46.000Z

2022-03-31T20:10:11.000Z

sdk/python/pulumi_azure/iot/endpoint_storage_container.py

pulumi/pulumi-azure

c62b6c1828de1facfd0d92425b72e22e229b0afc

[ "ECL-2.0", "Apache-2.0" ]

41

2018-07-19T22:37:38.000Z

2022-03-14T10:56:26.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities __all__ = ['EndpointStorageContainerArgs', 'EndpointStorageContainer'] @pulumi.input_type class EndpointStorageContainerArgs: def __init__(__self__, *, connection_string: pulumi.Input[str], container_name: pulumi.Input[str], iothub_name: pulumi.Input[str], resource_group_name: pulumi.Input[str], batch_frequency_in_seconds: Optional[pulumi.Input[int]] = None, encoding: Optional[pulumi.Input[str]] = None, file_name_format: Optional[pulumi.Input[str]] = None, max_chunk_size_in_bytes: Optional[pulumi.Input[int]] = None, name: Optional[pulumi.Input[str]] = None): """ The set of arguments for constructing a EndpointStorageContainer resource. :param pulumi.Input[str] connection_string: The connection string for the endpoint. :param pulumi.Input[str] container_name: The name of storage container in the storage account. * :param pulumi.Input[str] iothub_name: The name of the IoTHub to which this Storage Container Endpoint belongs. Changing this forces a new resource to be created. :param pulumi.Input[str] resource_group_name: The name of the resource group under which the IotHub Storage Container Endpoint resource has to be created. Changing this forces a new resource to be created. :param pulumi.Input[int] batch_frequency_in_seconds: Time interval at which blobs are written to storage. Value should be between 60 and 720 seconds. Default value is 300 seconds. :param pulumi.Input[str] encoding: Encoding that is used to serialize messages to blobs. Supported values are `Avro`, `AvroDeflate` and `JSON`. Default value is `Avro`. Changing this forces a new resource to be created. :param pulumi.Input[str] file_name_format: File name format for the blob. Default format is ``{iothub}/{partition}/{YYYY}/{MM}/{DD}/{HH}/{mm}``. All parameters are mandatory but can be reordered. :param pulumi.Input[int] max_chunk_size_in_bytes: Maximum number of bytes for each blob written to storage. Value should be between 10485760(10MB) and 524288000(500MB). Default value is 314572800(300MB). :param pulumi.Input[str] name: The name of the endpoint. The name must be unique across endpoint types. The following names are reserved: `events`, `operationsMonitoringEvents`, `fileNotifications` and `$default`. """ pulumi.set(__self__, "connection_string", connection_string) pulumi.set(__self__, "container_name", container_name) pulumi.set(__self__, "iothub_name", iothub_name) pulumi.set(__self__, "resource_group_name", resource_group_name) if batch_frequency_in_seconds is not None: pulumi.set(__self__, "batch_frequency_in_seconds", batch_frequency_in_seconds) if encoding is not None: pulumi.set(__self__, "encoding", encoding) if file_name_format is not None: pulumi.set(__self__, "file_name_format", file_name_format) if max_chunk_size_in_bytes is not None: pulumi.set(__self__, "max_chunk_size_in_bytes", max_chunk_size_in_bytes) if name is not None: pulumi.set(__self__, "name", name) @property @pulumi.getter(name="connectionString") def connection_string(self) -> pulumi.Input[str]: """ The connection string for the endpoint. """ return pulumi.get(self, "connection_string") @connection_string.setter def connection_string(self, value: pulumi.Input[str]): pulumi.set(self, "connection_string", value) @property @pulumi.getter(name="containerName") def container_name(self) -> pulumi.Input[str]: """ The name of storage container in the storage account. * """ return pulumi.get(self, "container_name") @container_name.setter def container_name(self, value: pulumi.Input[str]): pulumi.set(self, "container_name", value) @property @pulumi.getter(name="iothubName") def iothub_name(self) -> pulumi.Input[str]: """ The name of the IoTHub to which this Storage Container Endpoint belongs. Changing this forces a new resource to be created. """ return pulumi.get(self, "iothub_name") @iothub_name.setter def iothub_name(self, value: pulumi.Input[str]): pulumi.set(self, "iothub_name", value) @property @pulumi.getter(name="resourceGroupName") def resource_group_name(self) -> pulumi.Input[str]: """ The name of the resource group under which the IotHub Storage Container Endpoint resource has to be created. Changing this forces a new resource to be created. """ return pulumi.get(self, "resource_group_name") @resource_group_name.setter def resource_group_name(self, value: pulumi.Input[str]): pulumi.set(self, "resource_group_name", value) @property @pulumi.getter(name="batchFrequencyInSeconds") def batch_frequency_in_seconds(self) -> Optional[pulumi.Input[int]]: """ Time interval at which blobs are written to storage. Value should be between 60 and 720 seconds. Default value is 300 seconds. """ return pulumi.get(self, "batch_frequency_in_seconds") @batch_frequency_in_seconds.setter def batch_frequency_in_seconds(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "batch_frequency_in_seconds", value) @property @pulumi.getter def encoding(self) -> Optional[pulumi.Input[str]]: """ Encoding that is used to serialize messages to blobs. Supported values are `Avro`, `AvroDeflate` and `JSON`. Default value is `Avro`. Changing this forces a new resource to be created. """ return pulumi.get(self, "encoding") @encoding.setter def encoding(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "encoding", value) @property @pulumi.getter(name="fileNameFormat") def file_name_format(self) -> Optional[pulumi.Input[str]]: """ File name format for the blob. Default format is ``{iothub}/{partition}/{YYYY}/{MM}/{DD}/{HH}/{mm}``. All parameters are mandatory but can be reordered. """ return pulumi.get(self, "file_name_format") @file_name_format.setter def file_name_format(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "file_name_format", value) @property @pulumi.getter(name="maxChunkSizeInBytes") def max_chunk_size_in_bytes(self) -> Optional[pulumi.Input[int]]: """ Maximum number of bytes for each blob written to storage. Value should be between 10485760(10MB) and 524288000(500MB). Default value is 314572800(300MB). """ return pulumi.get(self, "max_chunk_size_in_bytes") @max_chunk_size_in_bytes.setter def max_chunk_size_in_bytes(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "max_chunk_size_in_bytes", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The name of the endpoint. The name must be unique across endpoint types. The following names are reserved: `events`, `operationsMonitoringEvents`, `fileNotifications` and `$default`. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @pulumi.input_type class _EndpointStorageContainerState: def __init__(__self__, *, batch_frequency_in_seconds: Optional[pulumi.Input[int]] = None, connection_string: Optional[pulumi.Input[str]] = None, container_name: Optional[pulumi.Input[str]] = None, encoding: Optional[pulumi.Input[str]] = None, file_name_format: Optional[pulumi.Input[str]] = None, iothub_name: Optional[pulumi.Input[str]] = None, max_chunk_size_in_bytes: Optional[pulumi.Input[int]] = None, name: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None): """ Input properties used for looking up and filtering EndpointStorageContainer resources. :param pulumi.Input[int] batch_frequency_in_seconds: Time interval at which blobs are written to storage. Value should be between 60 and 720 seconds. Default value is 300 seconds. :param pulumi.Input[str] connection_string: The connection string for the endpoint. :param pulumi.Input[str] container_name: The name of storage container in the storage account. * :param pulumi.Input[str] encoding: Encoding that is used to serialize messages to blobs. Supported values are `Avro`, `AvroDeflate` and `JSON`. Default value is `Avro`. Changing this forces a new resource to be created. :param pulumi.Input[str] file_name_format: File name format for the blob. Default format is ``{iothub}/{partition}/{YYYY}/{MM}/{DD}/{HH}/{mm}``. All parameters are mandatory but can be reordered. :param pulumi.Input[str] iothub_name: The name of the IoTHub to which this Storage Container Endpoint belongs. Changing this forces a new resource to be created. :param pulumi.Input[int] max_chunk_size_in_bytes: Maximum number of bytes for each blob written to storage. Value should be between 10485760(10MB) and 524288000(500MB). Default value is 314572800(300MB). :param pulumi.Input[str] name: The name of the endpoint. The name must be unique across endpoint types. The following names are reserved: `events`, `operationsMonitoringEvents`, `fileNotifications` and `$default`. :param pulumi.Input[str] resource_group_name: The name of the resource group under which the IotHub Storage Container Endpoint resource has to be created. Changing this forces a new resource to be created. """ if batch_frequency_in_seconds is not None: pulumi.set(__self__, "batch_frequency_in_seconds", batch_frequency_in_seconds) if connection_string is not None: pulumi.set(__self__, "connection_string", connection_string) if container_name is not None: pulumi.set(__self__, "container_name", container_name) if encoding is not None: pulumi.set(__self__, "encoding", encoding) if file_name_format is not None: pulumi.set(__self__, "file_name_format", file_name_format) if iothub_name is not None: pulumi.set(__self__, "iothub_name", iothub_name) if max_chunk_size_in_bytes is not None: pulumi.set(__self__, "max_chunk_size_in_bytes", max_chunk_size_in_bytes) if name is not None: pulumi.set(__self__, "name", name) if resource_group_name is not None: pulumi.set(__self__, "resource_group_name", resource_group_name) @property @pulumi.getter(name="batchFrequencyInSeconds") def batch_frequency_in_seconds(self) -> Optional[pulumi.Input[int]]: """ Time interval at which blobs are written to storage. Value should be between 60 and 720 seconds. Default value is 300 seconds. """ return pulumi.get(self, "batch_frequency_in_seconds") @batch_frequency_in_seconds.setter def batch_frequency_in_seconds(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "batch_frequency_in_seconds", value) @property @pulumi.getter(name="connectionString") def connection_string(self) -> Optional[pulumi.Input[str]]: """ The connection string for the endpoint. """ return pulumi.get(self, "connection_string") @connection_string.setter def connection_string(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "connection_string", value) @property @pulumi.getter(name="containerName") def container_name(self) -> Optional[pulumi.Input[str]]: """ The name of storage container in the storage account. * """ return pulumi.get(self, "container_name") @container_name.setter def container_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "container_name", value) @property @pulumi.getter def encoding(self) -> Optional[pulumi.Input[str]]: """ Encoding that is used to serialize messages to blobs. Supported values are `Avro`, `AvroDeflate` and `JSON`. Default value is `Avro`. Changing this forces a new resource to be created. """ return pulumi.get(self, "encoding") @encoding.setter def encoding(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "encoding", value) @property @pulumi.getter(name="fileNameFormat") def file_name_format(self) -> Optional[pulumi.Input[str]]: """ File name format for the blob. Default format is ``{iothub}/{partition}/{YYYY}/{MM}/{DD}/{HH}/{mm}``. All parameters are mandatory but can be reordered. """ return pulumi.get(self, "file_name_format") @file_name_format.setter def file_name_format(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "file_name_format", value) @property @pulumi.getter(name="iothubName") def iothub_name(self) -> Optional[pulumi.Input[str]]: """ The name of the IoTHub to which this Storage Container Endpoint belongs. Changing this forces a new resource to be created. """ return pulumi.get(self, "iothub_name") @iothub_name.setter def iothub_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "iothub_name", value) @property @pulumi.getter(name="maxChunkSizeInBytes") def max_chunk_size_in_bytes(self) -> Optional[pulumi.Input[int]]: """ Maximum number of bytes for each blob written to storage. Value should be between 10485760(10MB) and 524288000(500MB). Default value is 314572800(300MB). """ return pulumi.get(self, "max_chunk_size_in_bytes") @max_chunk_size_in_bytes.setter def max_chunk_size_in_bytes(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "max_chunk_size_in_bytes", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The name of the endpoint. The name must be unique across endpoint types. The following names are reserved: `events`, `operationsMonitoringEvents`, `fileNotifications` and `$default`. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="resourceGroupName") def resource_group_name(self) -> Optional[pulumi.Input[str]]: """ The name of the resource group under which the IotHub Storage Container Endpoint resource has to be created. Changing this forces a new resource to be created. """ return pulumi.get(self, "resource_group_name") @resource_group_name.setter def resource_group_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "resource_group_name", value) class EndpointStorageContainer(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, batch_frequency_in_seconds: Optional[pulumi.Input[int]] = None, connection_string: Optional[pulumi.Input[str]] = None, container_name: Optional[pulumi.Input[str]] = None, encoding: Optional[pulumi.Input[str]] = None, file_name_format: Optional[pulumi.Input[str]] = None, iothub_name: Optional[pulumi.Input[str]] = None, max_chunk_size_in_bytes: Optional[pulumi.Input[int]] = None, name: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, __props__=None): """ Manages an IotHub Storage Container Endpoint > **NOTE:** Endpoints can be defined either directly on the `iot.IoTHub` resource, or using the `azurerm_iothub_endpoint_*` resources - but the two ways of defining the endpoints cannot be used together. If both are used against the same IoTHub, spurious changes will occur. Also, defining a `azurerm_iothub_endpoint_*` resource and another endpoint of a different type directly on the `iot.IoTHub` resource is not supported. ## Example Usage ```python import pulumi import pulumi_azure as azure example_resource_group = azure.core.ResourceGroup("exampleResourceGroup", location="West Europe") example_account = azure.storage.Account("exampleAccount", resource_group_name=example_resource_group.name, location=example_resource_group.location, account_tier="Standard", account_replication_type="LRS") example_container = azure.storage.Container("exampleContainer", storage_account_name=example_account.name, container_access_type="private") example_io_t_hub = azure.iot.IoTHub("exampleIoTHub", resource_group_name=example_resource_group.name, location=example_resource_group.location, sku=azure.iot.IoTHubSkuArgs( name="S1", capacity=1, )) example_endpoint_storage_container = azure.iot.EndpointStorageContainer("exampleEndpointStorageContainer", resource_group_name=example_resource_group.name, iothub_name=example_io_t_hub.name, container_name="acctestcont", connection_string=example_account.primary_blob_connection_string, file_name_format="{iothub}/{partition}_{YYYY}_{MM}_{DD}_{HH}_{mm}", batch_frequency_in_seconds=60, max_chunk_size_in_bytes=10485760, encoding="JSON") ``` ## Import IoTHub Storage Container Endpoint can be imported using the `resource id`, e.g. ```sh $ pulumi import azure:iot/endpointStorageContainer:EndpointStorageContainer storage_container1 /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/mygroup1/providers/Microsoft.Devices/IotHubs/hub1/Endpoints/storage_container_endpoint1 ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[int] batch_frequency_in_seconds: Time interval at which blobs are written to storage. Value should be between 60 and 720 seconds. Default value is 300 seconds. :param pulumi.Input[str] connection_string: The connection string for the endpoint. :param pulumi.Input[str] container_name: The name of storage container in the storage account. * :param pulumi.Input[str] encoding: Encoding that is used to serialize messages to blobs. Supported values are `Avro`, `AvroDeflate` and `JSON`. Default value is `Avro`. Changing this forces a new resource to be created. :param pulumi.Input[str] file_name_format: File name format for the blob. Default format is ``{iothub}/{partition}/{YYYY}/{MM}/{DD}/{HH}/{mm}``. All parameters are mandatory but can be reordered. :param pulumi.Input[str] iothub_name: The name of the IoTHub to which this Storage Container Endpoint belongs. Changing this forces a new resource to be created. :param pulumi.Input[int] max_chunk_size_in_bytes: Maximum number of bytes for each blob written to storage. Value should be between 10485760(10MB) and 524288000(500MB). Default value is 314572800(300MB). :param pulumi.Input[str] name: The name of the endpoint. The name must be unique across endpoint types. The following names are reserved: `events`, `operationsMonitoringEvents`, `fileNotifications` and `$default`. :param pulumi.Input[str] resource_group_name: The name of the resource group under which the IotHub Storage Container Endpoint resource has to be created. Changing this forces a new resource to be created. """ ... @overload def __init__(__self__, resource_name: str, args: EndpointStorageContainerArgs, opts: Optional[pulumi.ResourceOptions] = None): """ Manages an IotHub Storage Container Endpoint > **NOTE:** Endpoints can be defined either directly on the `iot.IoTHub` resource, or using the `azurerm_iothub_endpoint_*` resources - but the two ways of defining the endpoints cannot be used together. If both are used against the same IoTHub, spurious changes will occur. Also, defining a `azurerm_iothub_endpoint_*` resource and another endpoint of a different type directly on the `iot.IoTHub` resource is not supported. ## Example Usage ```python import pulumi import pulumi_azure as azure example_resource_group = azure.core.ResourceGroup("exampleResourceGroup", location="West Europe") example_account = azure.storage.Account("exampleAccount", resource_group_name=example_resource_group.name, location=example_resource_group.location, account_tier="Standard", account_replication_type="LRS") example_container = azure.storage.Container("exampleContainer", storage_account_name=example_account.name, container_access_type="private") example_io_t_hub = azure.iot.IoTHub("exampleIoTHub", resource_group_name=example_resource_group.name, location=example_resource_group.location, sku=azure.iot.IoTHubSkuArgs( name="S1", capacity=1, )) example_endpoint_storage_container = azure.iot.EndpointStorageContainer("exampleEndpointStorageContainer", resource_group_name=example_resource_group.name, iothub_name=example_io_t_hub.name, container_name="acctestcont", connection_string=example_account.primary_blob_connection_string, file_name_format="{iothub}/{partition}_{YYYY}_{MM}_{DD}_{HH}_{mm}", batch_frequency_in_seconds=60, max_chunk_size_in_bytes=10485760, encoding="JSON") ``` ## Import IoTHub Storage Container Endpoint can be imported using the `resource id`, e.g. ```sh $ pulumi import azure:iot/endpointStorageContainer:EndpointStorageContainer storage_container1 /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/mygroup1/providers/Microsoft.Devices/IotHubs/hub1/Endpoints/storage_container_endpoint1 ``` :param str resource_name: The name of the resource. :param EndpointStorageContainerArgs args: The arguments to use to populate this resource's properties. :param pulumi.ResourceOptions opts: Options for the resource. """ ... def __init__(__self__, resource_name: str, *args, **kwargs): resource_args, opts = _utilities.get_resource_args_opts(EndpointStorageContainerArgs, pulumi.ResourceOptions, *args, **kwargs) if resource_args is not None: __self__._internal_init(resource_name, opts, **resource_args.__dict__) else: __self__._internal_init(resource_name, *args, **kwargs) def _internal_init(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, batch_frequency_in_seconds: Optional[pulumi.Input[int]] = None, connection_string: Optional[pulumi.Input[str]] = None, container_name: Optional[pulumi.Input[str]] = None, encoding: Optional[pulumi.Input[str]] = None, file_name_format: Optional[pulumi.Input[str]] = None, iothub_name: Optional[pulumi.Input[str]] = None, max_chunk_size_in_bytes: Optional[pulumi.Input[int]] = None, name: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = EndpointStorageContainerArgs.__new__(EndpointStorageContainerArgs) __props__.__dict__["batch_frequency_in_seconds"] = batch_frequency_in_seconds if connection_string is None and not opts.urn: raise TypeError("Missing required property 'connection_string'") __props__.__dict__["connection_string"] = connection_string if container_name is None and not opts.urn: raise TypeError("Missing required property 'container_name'") __props__.__dict__["container_name"] = container_name __props__.__dict__["encoding"] = encoding __props__.__dict__["file_name_format"] = file_name_format if iothub_name is None and not opts.urn: raise TypeError("Missing required property 'iothub_name'") __props__.__dict__["iothub_name"] = iothub_name __props__.__dict__["max_chunk_size_in_bytes"] = max_chunk_size_in_bytes __props__.__dict__["name"] = name if resource_group_name is None and not opts.urn: raise TypeError("Missing required property 'resource_group_name'") __props__.__dict__["resource_group_name"] = resource_group_name super(EndpointStorageContainer, __self__).__init__( 'azure:iot/endpointStorageContainer:EndpointStorageContainer', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, batch_frequency_in_seconds: Optional[pulumi.Input[int]] = None, connection_string: Optional[pulumi.Input[str]] = None, container_name: Optional[pulumi.Input[str]] = None, encoding: Optional[pulumi.Input[str]] = None, file_name_format: Optional[pulumi.Input[str]] = None, iothub_name: Optional[pulumi.Input[str]] = None, max_chunk_size_in_bytes: Optional[pulumi.Input[int]] = None, name: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None) -> 'EndpointStorageContainer': """ Get an existing EndpointStorageContainer resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[int] batch_frequency_in_seconds: Time interval at which blobs are written to storage. Value should be between 60 and 720 seconds. Default value is 300 seconds. :param pulumi.Input[str] connection_string: The connection string for the endpoint. :param pulumi.Input[str] container_name: The name of storage container in the storage account. * :param pulumi.Input[str] encoding: Encoding that is used to serialize messages to blobs. Supported values are `Avro`, `AvroDeflate` and `JSON`. Default value is `Avro`. Changing this forces a new resource to be created. :param pulumi.Input[str] file_name_format: File name format for the blob. Default format is ``{iothub}/{partition}/{YYYY}/{MM}/{DD}/{HH}/{mm}``. All parameters are mandatory but can be reordered. :param pulumi.Input[str] iothub_name: The name of the IoTHub to which this Storage Container Endpoint belongs. Changing this forces a new resource to be created. :param pulumi.Input[int] max_chunk_size_in_bytes: Maximum number of bytes for each blob written to storage. Value should be between 10485760(10MB) and 524288000(500MB). Default value is 314572800(300MB). :param pulumi.Input[str] name: The name of the endpoint. The name must be unique across endpoint types. The following names are reserved: `events`, `operationsMonitoringEvents`, `fileNotifications` and `$default`. :param pulumi.Input[str] resource_group_name: The name of the resource group under which the IotHub Storage Container Endpoint resource has to be created. Changing this forces a new resource to be created. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _EndpointStorageContainerState.__new__(_EndpointStorageContainerState) __props__.__dict__["batch_frequency_in_seconds"] = batch_frequency_in_seconds __props__.__dict__["connection_string"] = connection_string __props__.__dict__["container_name"] = container_name __props__.__dict__["encoding"] = encoding __props__.__dict__["file_name_format"] = file_name_format __props__.__dict__["iothub_name"] = iothub_name __props__.__dict__["max_chunk_size_in_bytes"] = max_chunk_size_in_bytes __props__.__dict__["name"] = name __props__.__dict__["resource_group_name"] = resource_group_name return EndpointStorageContainer(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="batchFrequencyInSeconds") def batch_frequency_in_seconds(self) -> pulumi.Output[Optional[int]]: """ Time interval at which blobs are written to storage. Value should be between 60 and 720 seconds. Default value is 300 seconds. """ return pulumi.get(self, "batch_frequency_in_seconds") @property @pulumi.getter(name="connectionString") def connection_string(self) -> pulumi.Output[str]: """ The connection string for the endpoint. """ return pulumi.get(self, "connection_string") @property @pulumi.getter(name="containerName") def container_name(self) -> pulumi.Output[str]: """ The name of storage container in the storage account. * """ return pulumi.get(self, "container_name") @property @pulumi.getter def encoding(self) -> pulumi.Output[Optional[str]]: """ Encoding that is used to serialize messages to blobs. Supported values are `Avro`, `AvroDeflate` and `JSON`. Default value is `Avro`. Changing this forces a new resource to be created. """ return pulumi.get(self, "encoding") @property @pulumi.getter(name="fileNameFormat") def file_name_format(self) -> pulumi.Output[Optional[str]]: """ File name format for the blob. Default format is ``{iothub}/{partition}/{YYYY}/{MM}/{DD}/{HH}/{mm}``. All parameters are mandatory but can be reordered. """ return pulumi.get(self, "file_name_format") @property @pulumi.getter(name="iothubName") def iothub_name(self) -> pulumi.Output[str]: """ The name of the IoTHub to which this Storage Container Endpoint belongs. Changing this forces a new resource to be created. """ return pulumi.get(self, "iothub_name") @property @pulumi.getter(name="maxChunkSizeInBytes") def max_chunk_size_in_bytes(self) -> pulumi.Output[Optional[int]]: """ Maximum number of bytes for each blob written to storage. Value should be between 10485760(10MB) and 524288000(500MB). Default value is 314572800(300MB). """ return pulumi.get(self, "max_chunk_size_in_bytes") @property @pulumi.getter def name(self) -> pulumi.Output[str]: """ The name of the endpoint. The name must be unique across endpoint types. The following names are reserved: `events`, `operationsMonitoringEvents`, `fileNotifications` and `$default`. """ return pulumi.get(self, "name") @property @pulumi.getter(name="resourceGroupName") def resource_group_name(self) -> pulumi.Output[str]: """ The name of the resource group under which the IotHub Storage Container Endpoint resource has to be created. Changing this forces a new resource to be created. """ return pulumi.get(self, "resource_group_name")

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16e1545200971059010c2e1929615cc3ad6e2e89

19,293

py

Python

sdk/python/pulumi_azure/loganalytics/linked_storage_account.py

ScriptBox99/pulumi-azure

1b8c6d5479ccabc39094741eac25a8ca44c8833a

[ "ECL-2.0", "Apache-2.0" ]

null

sdk/python/pulumi_azure/loganalytics/linked_storage_account.py

ScriptBox99/pulumi-azure

1b8c6d5479ccabc39094741eac25a8ca44c8833a

[ "ECL-2.0", "Apache-2.0" ]

null

sdk/python/pulumi_azure/loganalytics/linked_storage_account.py

ScriptBox99/pulumi-azure

1b8c6d5479ccabc39094741eac25a8ca44c8833a

[ "ECL-2.0", "Apache-2.0" ]

null

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities __all__ = ['LinkedStorageAccountArgs', 'LinkedStorageAccount'] @pulumi.input_type class LinkedStorageAccountArgs: def __init__(__self__, *, data_source_type: pulumi.Input[str], resource_group_name: pulumi.Input[str], storage_account_ids: pulumi.Input[Sequence[pulumi.Input[str]]], workspace_resource_id: pulumi.Input[str]): """ The set of arguments for constructing a LinkedStorageAccount resource. :param pulumi.Input[str] data_source_type: The data source type which should be used for this Log Analytics Linked Storage Account. Possible values are "customlogs", "azurewatson", "query", "Ingestion" and "alerts". Changing this forces a new Log Analytics Linked Storage Account to be created. :param pulumi.Input[str] resource_group_name: The name of the Resource Group where the Log Analytics Linked Storage Account should exist. Changing this forces a new Log Analytics Linked Storage Account to be created. :param pulumi.Input[Sequence[pulumi.Input[str]]] storage_account_ids: The storage account resource ids to be linked. :param pulumi.Input[str] workspace_resource_id: The resource ID of the Log Analytics Workspace. Changing this forces a new Log Analytics Linked Storage Account to be created. """ pulumi.set(__self__, "data_source_type", data_source_type) pulumi.set(__self__, "resource_group_name", resource_group_name) pulumi.set(__self__, "storage_account_ids", storage_account_ids) pulumi.set(__self__, "workspace_resource_id", workspace_resource_id) @property @pulumi.getter(name="dataSourceType") def data_source_type(self) -> pulumi.Input[str]: """ The data source type which should be used for this Log Analytics Linked Storage Account. Possible values are "customlogs", "azurewatson", "query", "Ingestion" and "alerts". Changing this forces a new Log Analytics Linked Storage Account to be created. """ return pulumi.get(self, "data_source_type") @data_source_type.setter def data_source_type(self, value: pulumi.Input[str]): pulumi.set(self, "data_source_type", value) @property @pulumi.getter(name="resourceGroupName") def resource_group_name(self) -> pulumi.Input[str]: """ The name of the Resource Group where the Log Analytics Linked Storage Account should exist. Changing this forces a new Log Analytics Linked Storage Account to be created. """ return pulumi.get(self, "resource_group_name") @resource_group_name.setter def resource_group_name(self, value: pulumi.Input[str]): pulumi.set(self, "resource_group_name", value) @property @pulumi.getter(name="storageAccountIds") def storage_account_ids(self) -> pulumi.Input[Sequence[pulumi.Input[str]]]: """ The storage account resource ids to be linked. """ return pulumi.get(self, "storage_account_ids") @storage_account_ids.setter def storage_account_ids(self, value: pulumi.Input[Sequence[pulumi.Input[str]]]): pulumi.set(self, "storage_account_ids", value) @property @pulumi.getter(name="workspaceResourceId") def workspace_resource_id(self) -> pulumi.Input[str]: """ The resource ID of the Log Analytics Workspace. Changing this forces a new Log Analytics Linked Storage Account to be created. """ return pulumi.get(self, "workspace_resource_id") @workspace_resource_id.setter def workspace_resource_id(self, value: pulumi.Input[str]): pulumi.set(self, "workspace_resource_id", value) @pulumi.input_type class _LinkedStorageAccountState: def __init__(__self__, *, data_source_type: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, storage_account_ids: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, workspace_resource_id: Optional[pulumi.Input[str]] = None): """ Input properties used for looking up and filtering LinkedStorageAccount resources. :param pulumi.Input[str] data_source_type: The data source type which should be used for this Log Analytics Linked Storage Account. Possible values are "customlogs", "azurewatson", "query", "Ingestion" and "alerts". Changing this forces a new Log Analytics Linked Storage Account to be created. :param pulumi.Input[str] resource_group_name: The name of the Resource Group where the Log Analytics Linked Storage Account should exist. Changing this forces a new Log Analytics Linked Storage Account to be created. :param pulumi.Input[Sequence[pulumi.Input[str]]] storage_account_ids: The storage account resource ids to be linked. :param pulumi.Input[str] workspace_resource_id: The resource ID of the Log Analytics Workspace. Changing this forces a new Log Analytics Linked Storage Account to be created. """ if data_source_type is not None: pulumi.set(__self__, "data_source_type", data_source_type) if resource_group_name is not None: pulumi.set(__self__, "resource_group_name", resource_group_name) if storage_account_ids is not None: pulumi.set(__self__, "storage_account_ids", storage_account_ids) if workspace_resource_id is not None: pulumi.set(__self__, "workspace_resource_id", workspace_resource_id) @property @pulumi.getter(name="dataSourceType") def data_source_type(self) -> Optional[pulumi.Input[str]]: """ The data source type which should be used for this Log Analytics Linked Storage Account. Possible values are "customlogs", "azurewatson", "query", "Ingestion" and "alerts". Changing this forces a new Log Analytics Linked Storage Account to be created. """ return pulumi.get(self, "data_source_type") @data_source_type.setter def data_source_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "data_source_type", value) @property @pulumi.getter(name="resourceGroupName") def resource_group_name(self) -> Optional[pulumi.Input[str]]: """ The name of the Resource Group where the Log Analytics Linked Storage Account should exist. Changing this forces a new Log Analytics Linked Storage Account to be created. """ return pulumi.get(self, "resource_group_name") @resource_group_name.setter def resource_group_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "resource_group_name", value) @property @pulumi.getter(name="storageAccountIds") def storage_account_ids(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ The storage account resource ids to be linked. """ return pulumi.get(self, "storage_account_ids") @storage_account_ids.setter def storage_account_ids(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "storage_account_ids", value) @property @pulumi.getter(name="workspaceResourceId") def workspace_resource_id(self) -> Optional[pulumi.Input[str]]: """ The resource ID of the Log Analytics Workspace. Changing this forces a new Log Analytics Linked Storage Account to be created. """ return pulumi.get(self, "workspace_resource_id") @workspace_resource_id.setter def workspace_resource_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "workspace_resource_id", value) class LinkedStorageAccount(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, data_source_type: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, storage_account_ids: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, workspace_resource_id: Optional[pulumi.Input[str]] = None, __props__=None): """ Manages a Log Analytics Linked Storage Account. ## Example Usage ```python import pulumi import pulumi_azure as azure example_resource_group = azure.core.ResourceGroup("exampleResourceGroup", location="West Europe") example_account = azure.storage.Account("exampleAccount", resource_group_name=example_resource_group.name, location=example_resource_group.location, account_tier="Standard", account_replication_type="GRS") example_analytics_workspace = azure.operationalinsights.AnalyticsWorkspace("exampleAnalyticsWorkspace", location=example_resource_group.location, resource_group_name=example_resource_group.name, sku="PerGB2018") example_linked_storage_account = azure.loganalytics.LinkedStorageAccount("exampleLinkedStorageAccount", data_source_type="customlogs", resource_group_name=example_resource_group.name, workspace_resource_id=example_analytics_workspace.id, storage_account_ids=[example_account.id]) ``` ## Import Log Analytics Linked Storage Accounts can be imported using the `resource id`, e.g. ```sh $ pulumi import azure:loganalytics/linkedStorageAccount:LinkedStorageAccount example /subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/group1/providers/Microsoft.OperationalInsights/workspaces/workspace1/linkedStorageAccounts/{dataSourceType} ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] data_source_type: The data source type which should be used for this Log Analytics Linked Storage Account. Possible values are "customlogs", "azurewatson", "query", "Ingestion" and "alerts". Changing this forces a new Log Analytics Linked Storage Account to be created. :param pulumi.Input[str] resource_group_name: The name of the Resource Group where the Log Analytics Linked Storage Account should exist. Changing this forces a new Log Analytics Linked Storage Account to be created. :param pulumi.Input[Sequence[pulumi.Input[str]]] storage_account_ids: The storage account resource ids to be linked. :param pulumi.Input[str] workspace_resource_id: The resource ID of the Log Analytics Workspace. Changing this forces a new Log Analytics Linked Storage Account to be created. """ ... @overload def __init__(__self__, resource_name: str, args: LinkedStorageAccountArgs, opts: Optional[pulumi.ResourceOptions] = None): """ Manages a Log Analytics Linked Storage Account. ## Example Usage ```python import pulumi import pulumi_azure as azure example_resource_group = azure.core.ResourceGroup("exampleResourceGroup", location="West Europe") example_account = azure.storage.Account("exampleAccount", resource_group_name=example_resource_group.name, location=example_resource_group.location, account_tier="Standard", account_replication_type="GRS") example_analytics_workspace = azure.operationalinsights.AnalyticsWorkspace("exampleAnalyticsWorkspace", location=example_resource_group.location, resource_group_name=example_resource_group.name, sku="PerGB2018") example_linked_storage_account = azure.loganalytics.LinkedStorageAccount("exampleLinkedStorageAccount", data_source_type="customlogs", resource_group_name=example_resource_group.name, workspace_resource_id=example_analytics_workspace.id, storage_account_ids=[example_account.id]) ``` ## Import Log Analytics Linked Storage Accounts can be imported using the `resource id`, e.g. ```sh $ pulumi import azure:loganalytics/linkedStorageAccount:LinkedStorageAccount example /subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/group1/providers/Microsoft.OperationalInsights/workspaces/workspace1/linkedStorageAccounts/{dataSourceType} ``` :param str resource_name: The name of the resource. :param LinkedStorageAccountArgs args: The arguments to use to populate this resource's properties. :param pulumi.ResourceOptions opts: Options for the resource. """ ... def __init__(__self__, resource_name: str, *args, **kwargs): resource_args, opts = _utilities.get_resource_args_opts(LinkedStorageAccountArgs, pulumi.ResourceOptions, *args, **kwargs) if resource_args is not None: __self__._internal_init(resource_name, opts, **resource_args.__dict__) else: __self__._internal_init(resource_name, *args, **kwargs) def _internal_init(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, data_source_type: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, storage_account_ids: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, workspace_resource_id: Optional[pulumi.Input[str]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = LinkedStorageAccountArgs.__new__(LinkedStorageAccountArgs) if data_source_type is None and not opts.urn: raise TypeError("Missing required property 'data_source_type'") __props__.__dict__["data_source_type"] = data_source_type if resource_group_name is None and not opts.urn: raise TypeError("Missing required property 'resource_group_name'") __props__.__dict__["resource_group_name"] = resource_group_name if storage_account_ids is None and not opts.urn: raise TypeError("Missing required property 'storage_account_ids'") __props__.__dict__["storage_account_ids"] = storage_account_ids if workspace_resource_id is None and not opts.urn: raise TypeError("Missing required property 'workspace_resource_id'") __props__.__dict__["workspace_resource_id"] = workspace_resource_id super(LinkedStorageAccount, __self__).__init__( 'azure:loganalytics/linkedStorageAccount:LinkedStorageAccount', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, data_source_type: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, storage_account_ids: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, workspace_resource_id: Optional[pulumi.Input[str]] = None) -> 'LinkedStorageAccount': """ Get an existing LinkedStorageAccount resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] data_source_type: The data source type which should be used for this Log Analytics Linked Storage Account. Possible values are "customlogs", "azurewatson", "query", "Ingestion" and "alerts". Changing this forces a new Log Analytics Linked Storage Account to be created. :param pulumi.Input[str] resource_group_name: The name of the Resource Group where the Log Analytics Linked Storage Account should exist. Changing this forces a new Log Analytics Linked Storage Account to be created. :param pulumi.Input[Sequence[pulumi.Input[str]]] storage_account_ids: The storage account resource ids to be linked. :param pulumi.Input[str] workspace_resource_id: The resource ID of the Log Analytics Workspace. Changing this forces a new Log Analytics Linked Storage Account to be created. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _LinkedStorageAccountState.__new__(_LinkedStorageAccountState) __props__.__dict__["data_source_type"] = data_source_type __props__.__dict__["resource_group_name"] = resource_group_name __props__.__dict__["storage_account_ids"] = storage_account_ids __props__.__dict__["workspace_resource_id"] = workspace_resource_id return LinkedStorageAccount(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="dataSourceType") def data_source_type(self) -> pulumi.Output[str]: """ The data source type which should be used for this Log Analytics Linked Storage Account. Possible values are "customlogs", "azurewatson", "query", "Ingestion" and "alerts". Changing this forces a new Log Analytics Linked Storage Account to be created. """ return pulumi.get(self, "data_source_type") @property @pulumi.getter(name="resourceGroupName") def resource_group_name(self) -> pulumi.Output[str]: """ The name of the Resource Group where the Log Analytics Linked Storage Account should exist. Changing this forces a new Log Analytics Linked Storage Account to be created. """ return pulumi.get(self, "resource_group_name") @property @pulumi.getter(name="storageAccountIds") def storage_account_ids(self) -> pulumi.Output[Sequence[str]]: """ The storage account resource ids to be linked. """ return pulumi.get(self, "storage_account_ids") @property @pulumi.getter(name="workspaceResourceId") def workspace_resource_id(self) -> pulumi.Output[str]: """ The resource ID of the Log Analytics Workspace. Changing this forces a new Log Analytics Linked Storage Account to be created. """ return pulumi.get(self, "workspace_resource_id")

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7

bc7456a5a6a65b3122cf25e30e244992653fc013

50,247

py

Python

.c9/metadata/environment/views.py

matthewrr/MASS-Updates

3c499927a8ecd14d6febac688affeffecc3b2247

[ "MIT" ]

null

.c9/metadata/environment/views.py

matthewrr/MASS-Updates

3c499927a8ecd14d6febac688affeffecc3b2247

[ "MIT" ]

null

.c9/metadata/environment/views.py

matthewrr/MASS-Updates

3c499927a8ecd14d6febac688affeffecc3b2247

[ "MIT" ]

null

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7,291

50,247

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9

bc8679921ae8cca54f687f4c0619b666cab34b53

48,513

py

Python

katpoint/test/test_projection.py

ska-sa/katpoint

7cbac9c2f461e4209a147bda93572b7f523531d4

[ "BSD-3-Clause" ]

1

2019-08-26T06:26:47.000Z

katpoint/test/test_projection.py

ska-sa/katpoint

7cbac9c2f461e4209a147bda93572b7f523531d4

[ "BSD-3-Clause" ]

23

2018-11-20T15:41:40.000Z

2021-08-03T20:39:21.000Z

katpoint/test/test_projection.py

ska-sa/katpoint

7cbac9c2f461e4209a147bda93572b7f523531d4

[ "BSD-3-Clause" ]

4

2019-07-22T08:01:03.000Z

2021-02-23T07:09:04.000Z

################################################################################ # Copyright (c) 2009-2021, National Research Foundation (SARAO) # # Licensed under the BSD 3-Clause License (the "License"); you may not use # this file except in compliance with the License. You may obtain a copy # of the License at # # https://opensource.org/licenses/BSD-3-Clause # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. ################################################################################ """Tests for the projection module.""" from __future__ import print_function, division, absolute_import import threading import unittest import numpy as np import katpoint from katpoint.projection import (OutOfRangeError, out_of_range_context, treat_out_of_range_values, set_out_of_range_treatment, get_out_of_range_treatment) try: from .aips_projection import newpos, dircos found_aips = True except ImportError: found_aips = False def skip(reason=''): """Use nose to skip a test.""" try: import nose raise nose.SkipTest(reason) except ImportError: pass def assert_angles_almost_equal(x, y, decimal): def primary_angle(x): return x - np.round(x / (2.0 * np.pi)) * 2.0 * np.pi x = np.asarray(x) y = np.asarray(y) np.testing.assert_array_equal(0 * x, 0 * y, 'Array shapes and/or NaN patterns differ') d = primary_angle(np.nan_to_num(x - y)) np.testing.assert_almost_equal(d, np.zeros(np.shape(x)), decimal=decimal) class TestOutOfRangeTreatment(unittest.TestCase): """Test treatment of out-of-range values.""" def setUp(self): self._old_treatment = get_out_of_range_treatment() def test_treatment_setup(self): set_out_of_range_treatment('raise') self.assertEqual(get_out_of_range_treatment(), 'raise') set_out_of_range_treatment('nan') self.assertEqual(get_out_of_range_treatment(), 'nan') set_out_of_range_treatment('clip') self.assertEqual(get_out_of_range_treatment(), 'clip') with self.assertRaises(ValueError): set_out_of_range_treatment('bad treatment') with out_of_range_context('raise'): self.assertEqual(get_out_of_range_treatment(), 'raise') self.assertEqual(get_out_of_range_treatment(), 'clip') def test_out_of_range_handling_array(self): x = [1, 2, 3, 4] y = treat_out_of_range_values(x, 'Should not happen', lower=0, upper=5) np.testing.assert_array_equal(y, x) with out_of_range_context('raise'): with self.assertRaises(OutOfRangeError): y = treat_out_of_range_values(x, 'Out of range', lower=2.1) with out_of_range_context('nan'): y = treat_out_of_range_values(x, 'Out of range', lower=2.1) np.testing.assert_array_equal(y, [np.nan, np.nan, 3.0, 4.0]) with out_of_range_context('clip'): y = treat_out_of_range_values(x, 'Out of range', upper=1.1) np.testing.assert_array_equal(y, [1.0, 1.1, 1.1, 1.1]) def test_out_of_range_handling_scalar(self): x = 2 y = treat_out_of_range_values(x, 'Should not happen', lower=0, upper=5) np.testing.assert_array_equal(y, x) with out_of_range_context('raise'): with self.assertRaises(OutOfRangeError): y = treat_out_of_range_values(x, 'Out of range', lower=2.1) with out_of_range_context('nan'): y = treat_out_of_range_values(x, 'Out of range', lower=2.1) np.testing.assert_array_equal(y, np.nan) with out_of_range_context('clip'): y = treat_out_of_range_values(x, 'Out of range', upper=1.1) np.testing.assert_array_equal(y, 1.1) def test_scalar_vs_0d(self): with out_of_range_context('clip'): x = 2.0 y = treat_out_of_range_values(x, 'Out of range', upper=1.1) assert np.isscalar(y) x = np.array(2.0) y = treat_out_of_range_values(x, 'Out of range', upper=1.1) assert not np.isscalar(y) def test_clipping_of_minor_outliers(self): x = 1.0 + np.finfo(float).eps with out_of_range_context('raise'): y = treat_out_of_range_values(x, 'Should not trigger false alarm', upper=1.0) assert y == 1.0 with out_of_range_context('nan'): y = treat_out_of_range_values(x, 'Should not trigger false alarm', upper=1.0) assert y == 1.0 with out_of_range_context('clip'): y = treat_out_of_range_values(x, 'Should not trigger false alarm', upper=1.0) assert y == 1.0 def test_threading(self): def my_thread(): try: result.append(treat_out_of_range_values(2.0, 'Should raise', upper=1.0)) except Exception as exc: result.append(exc) result = [] thread = threading.Thread(target=my_thread) with out_of_range_context('nan'): # Make sure the thread code runs inside our out_of_range_context thread.start() thread.join() assert isinstance(result[0], OutOfRangeError) def tearDown(self): set_out_of_range_treatment(self._old_treatment) class TestProjectionSIN(unittest.TestCase): """Test orthographic projection.""" def setUp(self): rs = np.random.RandomState(42) self.plane_to_sphere = katpoint.plane_to_sphere['SIN'] self.sphere_to_plane = katpoint.sphere_to_plane['SIN'] N = 100 max_theta = np.pi / 2.0 self.az0 = np.pi * (2.0 * rs.rand(N) - 1.0) # Keep away from poles (leave them as corner cases) self.el0 = 0.999 * np.pi * (rs.rand(N) - 0.5) # (x, y) points within unit circle theta = max_theta * rs.rand(N) phi = 2 * np.pi * rs.rand(N) self.x = np.sin(theta) * np.cos(phi) self.y = np.sin(theta) * np.sin(phi) def test_random_closure(self): """SIN projection: do random projections and check closure.""" az, el = self.plane_to_sphere(self.az0, self.el0, self.x, self.y) xx, yy = self.sphere_to_plane(self.az0, self.el0, az, el) aa, ee = self.plane_to_sphere(self.az0, self.el0, xx, yy) np.testing.assert_almost_equal(self.x, xx, decimal=10) np.testing.assert_almost_equal(self.y, yy, decimal=10) assert_angles_almost_equal(az, aa, decimal=10) assert_angles_almost_equal(el, ee, decimal=10) def test_aips_compatibility(self): """SIN projection: compare with original AIPS routine.""" if not found_aips: skip("AIPS projection module not found") return az, el = self.plane_to_sphere(self.az0, self.el0, self.x, self.y) xx, yy = self.sphere_to_plane(self.az0, self.el0, az, el) az_aips, el_aips = np.zeros(az.shape), np.zeros(el.shape) x_aips, y_aips = np.zeros(xx.shape), np.zeros(yy.shape) for n in range(len(az)): az_aips[n], el_aips[n], ierr = newpos( 2, self.az0[n], self.el0[n], self.x[n], self.y[n]) x_aips[n], y_aips[n], ierr = dircos( 2, self.az0[n], self.el0[n], az[n], el[n]) self.assertEqual(ierr, 0) assert_angles_almost_equal(az, az_aips, decimal=9) assert_angles_almost_equal(el, el_aips, decimal=9) np.testing.assert_almost_equal(xx, x_aips, decimal=9) np.testing.assert_almost_equal(yy, y_aips, decimal=9) def test_corner_cases_sphere_to_plane(self): """SIN projection: test special corner cases (sphere->plane).""" # Origin xy = np.array(self.sphere_to_plane(0.0, 0.0, 0.0, 0.0)) np.testing.assert_almost_equal(xy, [0.0, 0.0], decimal=12) # Points 90 degrees from reference point on sphere xy = np.array(self.sphere_to_plane(0.0, 0.0, np.pi / 2.0, 0.0)) np.testing.assert_almost_equal(xy, [1.0, 0.0], decimal=12) xy = np.array(self.sphere_to_plane(0.0, 0.0, -np.pi / 2.0, 0.0)) np.testing.assert_almost_equal(xy, [-1.0, 0.0], decimal=12) xy = np.array(self.sphere_to_plane(0.0, 0.0, 0.0, np.pi / 2.0)) np.testing.assert_almost_equal(xy, [0.0, 1.0], decimal=12) xy = np.array(self.sphere_to_plane(0.0, 0.0, 0.0, -np.pi / 2.0)) np.testing.assert_almost_equal(xy, [0.0, -1.0], decimal=12) # Reference point at pole on sphere xy = np.array(self.sphere_to_plane(0.0, np.pi / 2.0, 0.0, 0.0)) np.testing.assert_almost_equal(xy, [0.0, -1.0], decimal=12) xy = np.array(self.sphere_to_plane(0.0, np.pi / 2.0, np.pi, 1e-8)) np.testing.assert_almost_equal(xy, [0.0, 1.0], decimal=12) xy = np.array(self.sphere_to_plane(0.0, np.pi / 2.0, np.pi / 2.0, 0.0)) np.testing.assert_almost_equal(xy, [1.0, 0.0], decimal=12) xy = np.array(self.sphere_to_plane(0.0, np.pi / 2.0, -np.pi / 2.0, 0.0)) np.testing.assert_almost_equal(xy, [-1.0, 0.0], decimal=12) def test_corner_cases_plane_to_sphere(self): """SIN projection: test special corner cases (plane->sphere).""" # Origin ae = np.array(self.plane_to_sphere(0.0, 0.0, 0.0, 0.0)) assert_angles_almost_equal(ae, [0.0, 0.0], decimal=12) # Points on unit circle in plane ae = np.array(self.plane_to_sphere(0.0, 0.0, 1.0, 0.0)) assert_angles_almost_equal(ae, [np.pi / 2.0, 0.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, 0.0, -1.0, 0.0)) assert_angles_almost_equal(ae, [-np.pi / 2.0, 0.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, 0.0, 0.0, 1.0)) assert_angles_almost_equal(ae, [0.0, np.pi / 2.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, 0.0, 0.0, -1.0)) assert_angles_almost_equal(ae, [0.0, -np.pi / 2.0], decimal=12) # Reference point at pole on sphere ae = np.array(self.plane_to_sphere(0.0, -np.pi / 2.0, 1.0, 0.0)) assert_angles_almost_equal(ae, [np.pi / 2.0, 0.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, -np.pi / 2.0, -1.0, 0.0)) assert_angles_almost_equal(ae, [-np.pi / 2.0, 0.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, -np.pi / 2.0, 0.0, 1.0)) assert_angles_almost_equal(ae, [0.0, 0.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, -np.pi / 2.0, 0.0, -1.0)) assert_angles_almost_equal(ae, [np.pi, 0.0], decimal=12) def test_out_of_range_cases_sphere_to_plane(self): """SIN projection: test out-of-range cases (sphere->plane).""" # Points outside allowed domain on sphere with out_of_range_context('raise'): self.assertRaises(OutOfRangeError, self.sphere_to_plane, 0.0, np.pi, 0.0, 0.0) self.assertRaises(OutOfRangeError, self.sphere_to_plane, 0.0, 0.0, np.pi, 0.0) self.assertRaises(OutOfRangeError, self.sphere_to_plane, 0.0, 0.0, 0.0, np.pi) with out_of_range_context('nan'): xy = np.array(self.sphere_to_plane(0.0, np.pi, 0.0, 0.0)) np.testing.assert_array_equal(xy, [np.nan, np.nan]) xy = np.array(self.sphere_to_plane(0.0, 0.0, np.pi, 0.0)) np.testing.assert_array_equal(xy, [np.nan, np.nan]) xy = np.array(self.sphere_to_plane(0.0, 0.0, 0.0, np.pi)) np.testing.assert_array_equal(xy, [np.nan, np.nan]) with out_of_range_context('clip'): xy = np.array(self.sphere_to_plane(0.0, np.pi, 0.0, 0.0)) np.testing.assert_almost_equal(xy, [0.0, -1.0], decimal=12) xy = np.array(self.sphere_to_plane(0.0, 0.0, np.pi, 0.0)) np.testing.assert_almost_equal(xy, [-1.0, 0.0], decimal=12) xy = np.array(self.sphere_to_plane(0.0, 0.0, 0.0, np.pi)) np.testing.assert_almost_equal(xy, [0.0, 1.0], decimal=12) def test_out_of_range_cases_plane_to_sphere(self): """SIN projection: test out-of-range cases (plane->sphere).""" # Points outside allowed domain in plane with out_of_range_context('raise'): self.assertRaises(OutOfRangeError, self.plane_to_sphere, 0.0, np.pi, 0.0, 0.0) self.assertRaises(OutOfRangeError, self.plane_to_sphere, 0.0, 0.0, 2.0, 0.0) self.assertRaises(OutOfRangeError, self.plane_to_sphere, 0.0, 0.0, 0.0, 2.0) with out_of_range_context('nan'): ae = np.array(self.plane_to_sphere(0.0, np.pi, 0.0, 0.0)) np.testing.assert_array_equal(ae, [np.nan, np.nan]) ae = np.array(self.plane_to_sphere(0.0, 0.0, 2.0, 0.0)) np.testing.assert_array_equal(ae, [np.nan, np.nan]) ae = np.array(self.plane_to_sphere(0.0, 0.0, 0.0, 2.0)) np.testing.assert_array_equal(ae, [np.nan, np.nan]) with out_of_range_context('clip'): ae = np.array(self.plane_to_sphere(0.0, np.pi, 0.0, 0.0)) assert_angles_almost_equal(ae, [0.0, np.pi / 2.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, 0.0, 2.0, 0.0)) assert_angles_almost_equal(ae, [np.pi / 2.0, 0.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, 0.0, 0.0, 2.0)) assert_angles_almost_equal(ae, [0.0, np.pi / 2.0], decimal=12) class TestProjectionTAN(unittest.TestCase): """Test gnomonic projection.""" def setUp(self): rs = np.random.RandomState(42) self.plane_to_sphere = katpoint.plane_to_sphere['TAN'] self.sphere_to_plane = katpoint.sphere_to_plane['TAN'] N = 100 # Stay away from edge of hemisphere max_theta = np.pi / 2.0 - 0.01 self.az0 = np.pi * (2.0 * rs.rand(N) - 1.0) # Keep away from poles (leave them as corner cases) self.el0 = 0.999 * np.pi * (rs.rand(N) - 0.5) theta = max_theta * rs.rand(N) phi = 2 * np.pi * rs.rand(N) # Perform inverse TAN mapping to spread out points on plane self.x = np.tan(theta) * np.cos(phi) self.y = np.tan(theta) * np.sin(phi) def test_random_closure(self): """TAN projection: do random projections and check closure.""" az, el = self.plane_to_sphere(self.az0, self.el0, self.x, self.y) xx, yy = self.sphere_to_plane(self.az0, self.el0, az, el) aa, ee = self.plane_to_sphere(self.az0, self.el0, xx, yy) np.testing.assert_almost_equal(self.x, xx, decimal=8) np.testing.assert_almost_equal(self.y, yy, decimal=8) assert_angles_almost_equal(az, aa, decimal=8) assert_angles_almost_equal(el, ee, decimal=8) def test_aips_compatibility(self): """TAN projection: compare with original AIPS routine.""" if not found_aips: skip("AIPS projection module not found") return # AIPS TAN only deprojects (x, y) coordinates within unit circle r = self.x * self.x + self.y * self.y az0, el0 = self.az0[r <= 1.0], self.el0[r <= 1.0] x, y = self.x[r <= 1.0], self.y[r <= 1.0] az, el = self.plane_to_sphere(az0, el0, x, y) xx, yy = self.sphere_to_plane(az0, el0, az, el) az_aips, el_aips = np.zeros(az.shape), np.zeros(el.shape) x_aips, y_aips = np.zeros(xx.shape), np.zeros(yy.shape) for n in range(len(az)): az_aips[n], el_aips[n], ierr = newpos( 3, az0[n], el0[n], x[n], y[n]) x_aips[n], y_aips[n], ierr = dircos( 3, az0[n], el0[n], az[n], el[n]) self.assertEqual(ierr, 0) assert_angles_almost_equal(az, az_aips, decimal=10) assert_angles_almost_equal(el, el_aips, decimal=10) np.testing.assert_almost_equal(xx, x_aips, decimal=10) np.testing.assert_almost_equal(yy, y_aips, decimal=10) def test_corner_cases_sphere_to_plane(self): """TAN projection: test special corner cases (sphere->plane).""" # Origin xy = np.array(self.sphere_to_plane(0.0, 0.0, 0.0, 0.0)) np.testing.assert_almost_equal(xy, [0.0, 0.0], decimal=12) # Points 45 degrees from reference point on sphere xy = np.array(self.sphere_to_plane(0.0, 0.0, np.pi / 4.0, 0.0)) np.testing.assert_almost_equal(xy, [1.0, 0.0], decimal=12) xy = np.array(self.sphere_to_plane(0.0, 0.0, -np.pi / 4.0, 0.0)) np.testing.assert_almost_equal(xy, [-1.0, 0.0], decimal=12) xy = np.array(self.sphere_to_plane(0.0, 0.0, 0.0, np.pi / 4.0)) np.testing.assert_almost_equal(xy, [0.0, 1.0], decimal=12) xy = np.array(self.sphere_to_plane(0.0, 0.0, 0.0, -np.pi / 4.0)) np.testing.assert_almost_equal(xy, [0.0, -1.0], decimal=12) # Reference point at pole on sphere xy = np.array(self.sphere_to_plane(0.0, np.pi / 2.0, 0.0, np.pi / 4.0)) np.testing.assert_almost_equal(xy, [0.0, -1.0], decimal=12) xy = np.array(self.sphere_to_plane(0.0, np.pi / 2.0, np.pi, np.pi / 4.0)) np.testing.assert_almost_equal(xy, [0.0, 1.0], decimal=12) xy = np.array(self.sphere_to_plane(0.0, np.pi / 2.0, np.pi / 2.0, np.pi / 4.0)) np.testing.assert_almost_equal(xy, [1.0, 0.0], decimal=12) xy = np.array(self.sphere_to_plane(0.0, np.pi / 2.0, -np.pi / 2.0, np.pi / 4.0)) np.testing.assert_almost_equal(xy, [-1.0, 0.0], decimal=12) def test_corner_cases_plane_to_sphere(self): """TAN projection: test special corner cases (plane->sphere).""" # Origin ae = np.array(self.plane_to_sphere(0.0, 0.0, 0.0, 0.0)) assert_angles_almost_equal(ae, [0.0, 0.0], decimal=12) # Points on unit circle in plane ae = np.array(self.plane_to_sphere(0.0, 0.0, 1.0, 0.0)) assert_angles_almost_equal(ae, [np.pi / 4.0, 0.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, 0.0, -1.0, 0.0)) assert_angles_almost_equal(ae, [-np.pi / 4.0, 0.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, 0.0, 0.0, 1.0)) assert_angles_almost_equal(ae, [0.0, np.pi / 4.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, 0.0, 0.0, -1.0)) assert_angles_almost_equal(ae, [0.0, -np.pi / 4.0], decimal=12) # Reference point at pole on sphere ae = np.array(self.plane_to_sphere(0.0, -np.pi / 2.0, 1.0, 0.0)) assert_angles_almost_equal(ae, [np.pi / 2.0, -np.pi / 4.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, -np.pi / 2.0, -1.0, 0.0)) assert_angles_almost_equal(ae, [-np.pi / 2.0, -np.pi / 4.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, -np.pi / 2.0, 0.0, 1.0)) assert_angles_almost_equal(ae, [0.0, -np.pi / 4.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, -np.pi / 2.0, 0.0, -1.0)) assert_angles_almost_equal(ae, [np.pi, -np.pi / 4.0], decimal=12) def test_out_of_range_cases_sphere_to_plane(self): """TAN projection: test out-of-range cases (sphere->plane).""" # Points outside allowed domain on sphere with out_of_range_context('raise'): self.assertRaises(OutOfRangeError, self.sphere_to_plane, 0.0, np.pi, 0.0, 0.0) self.assertRaises(OutOfRangeError, self.sphere_to_plane, 0.0, 0.0, np.pi, 0.0) self.assertRaises(OutOfRangeError, self.sphere_to_plane, 0.0, 0.0, 0.0, np.pi) with out_of_range_context('nan'): xy = np.array(self.sphere_to_plane(0.0, np.pi, 0.0, 0.0)) np.testing.assert_array_equal(xy, [np.nan, np.nan]) xy = np.array(self.sphere_to_plane(0.0, 0.0, np.pi, 0.0)) np.testing.assert_array_equal(xy, [np.nan, np.nan]) xy = np.array(self.sphere_to_plane(0.0, 0.0, 0.0, np.pi)) np.testing.assert_array_equal(xy, [np.nan, np.nan]) with out_of_range_context('clip'): xy = np.array(self.sphere_to_plane(0.0, np.pi, 0.0, 0.0)) np.testing.assert_almost_equal(xy, [0.0, -1e6], decimal=4) xy = np.array(self.sphere_to_plane(0.0, 0.0, np.pi, 0.0)) np.testing.assert_almost_equal(xy, [-1e6, 0.0], decimal=4) xy = np.array(self.sphere_to_plane(0.0, 0.0, 0.0, np.pi)) np.testing.assert_almost_equal(xy, [0.0, 1e6], decimal=4) def test_out_of_range_cases_plane_to_sphere(self): """TAN projection: test out-of-range cases (plane->sphere).""" # Points outside allowed domain in plane with out_of_range_context('raise'): self.assertRaises(OutOfRangeError, self.plane_to_sphere, 0.0, np.pi, 0.0, 0.0) with out_of_range_context('nan'): ae = np.array(self.plane_to_sphere(0.0, np.pi, 0.0, 0.0)) np.testing.assert_array_equal(ae, [np.nan, np.nan]) with out_of_range_context('clip'): ae = np.array(self.plane_to_sphere(0.0, np.pi, 0.0, 0.0)) assert_angles_almost_equal(ae, [0.0, np.pi / 2.0], decimal=12) class TestProjectionARC(unittest.TestCase): """Test zenithal equidistant projection.""" def setUp(self): rs = np.random.RandomState(42) self.plane_to_sphere = katpoint.plane_to_sphere['ARC'] self.sphere_to_plane = katpoint.sphere_to_plane['ARC'] N = 100 # Stay away from edge of circle max_theta = np.pi - 0.01 self.az0 = np.pi * (2.0 * rs.rand(N) - 1.0) # Keep away from poles (leave them as corner cases) self.el0 = 0.999 * np.pi * (rs.rand(N) - 0.5) # (x, y) points within circle of radius pi theta = max_theta * rs.rand(N) phi = 2 * np.pi * rs.rand(N) self.x = theta * np.cos(phi) self.y = theta * np.sin(phi) def test_random_closure(self): """ARC projection: do random projections and check closure.""" az, el = self.plane_to_sphere(self.az0, self.el0, self.x, self.y) xx, yy = self.sphere_to_plane(self.az0, self.el0, az, el) aa, ee = self.plane_to_sphere(self.az0, self.el0, xx, yy) np.testing.assert_almost_equal(self.x, xx, decimal=8) np.testing.assert_almost_equal(self.y, yy, decimal=8) assert_angles_almost_equal(az, aa, decimal=8) assert_angles_almost_equal(el, ee, decimal=8) def test_aips_compatibility(self): """ARC projection: compare with original AIPS routine.""" if not found_aips: skip("AIPS projection module not found") return az, el = self.plane_to_sphere(self.az0, self.el0, self.x, self.y) xx, yy = self.sphere_to_plane(self.az0, self.el0, az, el) az_aips, el_aips = np.zeros(az.shape), np.zeros(el.shape) x_aips, y_aips = np.zeros(xx.shape), np.zeros(yy.shape) for n in range(len(az)): az_aips[n], el_aips[n], ierr = newpos( 4, self.az0[n], self.el0[n], self.x[n], self.y[n]) x_aips[n], y_aips[n], ierr = dircos( 4, self.az0[n], self.el0[n], az[n], el[n]) self.assertEqual(ierr, 0) assert_angles_almost_equal(az, az_aips, decimal=8) assert_angles_almost_equal(el, el_aips, decimal=8) np.testing.assert_almost_equal(xx, x_aips, decimal=8) np.testing.assert_almost_equal(yy, y_aips, decimal=8) def test_corner_cases_sphere_to_plane(self): """ARC projection: test special corner cases (sphere->plane).""" # Origin xy = np.array(self.sphere_to_plane(0.0, 0.0, 0.0, 0.0)) np.testing.assert_almost_equal(xy, [0.0, 0.0], decimal=12) # Points 90 degrees from reference point on sphere xy = np.array(self.sphere_to_plane(0.0, 0.0, np.pi / 2.0, 0.0)) np.testing.assert_almost_equal(xy, [np.pi / 2.0, 0.0], decimal=12) xy = np.array(self.sphere_to_plane(0.0, 0.0, -np.pi / 2.0, 0.0)) np.testing.assert_almost_equal(xy, [-np.pi / 2.0, 0.0], decimal=12) xy = np.array(self.sphere_to_plane(0.0, 0.0, 0.0, np.pi / 2.0)) np.testing.assert_almost_equal(xy, [0.0, np.pi / 2.0], decimal=12) xy = np.array(self.sphere_to_plane(0.0, 0.0, 0.0, -np.pi / 2.0)) np.testing.assert_almost_equal(xy, [0.0, -np.pi / 2.0], decimal=12) # Reference point at pole on sphere xy = np.array(self.sphere_to_plane(0.0, np.pi / 2.0, 0.0, 0.0)) np.testing.assert_almost_equal(xy, [0.0, -np.pi / 2.0], decimal=12) xy = np.array(self.sphere_to_plane(0.0, np.pi / 2.0, np.pi, 0.0)) np.testing.assert_almost_equal(xy, [0.0, np.pi / 2.0], decimal=12) xy = np.array(self.sphere_to_plane(0.0, np.pi / 2.0, np.pi / 2.0, 0.0)) np.testing.assert_almost_equal(xy, [np.pi / 2.0, 0.0], decimal=12) xy = np.array(self.sphere_to_plane(0.0, np.pi / 2.0, -np.pi / 2.0, 0.0)) np.testing.assert_almost_equal(xy, [-np.pi / 2.0, 0.0], decimal=12) # Point diametrically opposite the reference point on sphere xy = np.array(self.sphere_to_plane(np.pi, 0.0, 0.0, 0.0)) np.testing.assert_almost_equal(np.abs(xy), [np.pi, 0.0], decimal=12) def test_corner_cases_plane_to_sphere(self): """ARC projection: test special corner cases (plane->sphere).""" # Origin ae = np.array(self.plane_to_sphere(0.0, 0.0, 0.0, 0.0)) assert_angles_almost_equal(ae, [0.0, 0.0], decimal=12) # Points on unit circle in plane ae = np.array(self.plane_to_sphere(0.0, 0.0, 1.0, 0.0)) assert_angles_almost_equal(ae, [1.0, 0.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, 0.0, -1.0, 0.0)) assert_angles_almost_equal(ae, [-1.0, 0.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, 0.0, 0.0, 1.0)) assert_angles_almost_equal(ae, [0.0, 1.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, 0.0, 0.0, -1.0)) assert_angles_almost_equal(ae, [0.0, -1.0], decimal=12) # Points on circle with radius pi in plane ae = np.array(self.plane_to_sphere(0.0, 0.0, np.pi, 0.0)) assert_angles_almost_equal(ae, [np.pi, 0.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, 0.0, -np.pi, 0.0)) assert_angles_almost_equal(ae, [-np.pi, 0.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, 0.0, 0.0, np.pi)) assert_angles_almost_equal(ae, [np.pi, 0.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, 0.0, 0.0, -np.pi)) assert_angles_almost_equal(ae, [np.pi, 0.0], decimal=12) # Reference point at pole on sphere ae = np.array(self.plane_to_sphere(0.0, -np.pi / 2.0, np.pi / 2.0, 0.0)) assert_angles_almost_equal(ae, [np.pi / 2.0, 0.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, -np.pi / 2.0, -np.pi / 2.0, 0.0)) assert_angles_almost_equal(ae, [-np.pi / 2.0, 0.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, -np.pi / 2.0, 0.0, np.pi / 2.0)) assert_angles_almost_equal(ae, [0.0, 0.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, -np.pi / 2.0, 0.0, -np.pi / 2.0)) assert_angles_almost_equal(ae, [np.pi, 0.0], decimal=12) def test_out_of_range_cases_sphere_to_plane(self): """ARC projection: test out-of-range cases (sphere->plane).""" # Points outside allowed domain on sphere with out_of_range_context('raise'): self.assertRaises(OutOfRangeError, self.sphere_to_plane, 0.0, np.pi, 0.0, 0.0) self.assertRaises(OutOfRangeError, self.sphere_to_plane, 0.0, 0.0, 0.0, np.pi) with out_of_range_context('nan'): xy = np.array(self.sphere_to_plane(0.0, np.pi, 0.0, 0.0)) np.testing.assert_array_equal(xy, [np.nan, np.nan]) xy = np.array(self.sphere_to_plane(0.0, 0.0, 0.0, np.pi)) np.testing.assert_array_equal(xy, [np.nan, np.nan]) with out_of_range_context('clip'): xy = np.array(self.sphere_to_plane(0.0, np.pi, 0.0, 0.0)) np.testing.assert_almost_equal(xy, [0.0, -np.pi / 2.0], decimal=12) xy = np.array(self.sphere_to_plane(0.0, 0.0, 0.0, np.pi)) np.testing.assert_almost_equal(xy, [0.0, np.pi / 2.0], decimal=12) def test_out_of_range_cases_plane_to_sphere(self): """ARC projection: test out-of-range cases (plane->sphere).""" # Points outside allowed domain in plane with out_of_range_context('raise'): self.assertRaises(OutOfRangeError, self.plane_to_sphere, 0.0, np.pi, 0.0, 0.0) self.assertRaises(OutOfRangeError, self.plane_to_sphere, 0.0, 0.0, 4.0, 0.0) self.assertRaises(OutOfRangeError, self.plane_to_sphere, 0.0, 0.0, 0.0, 4.0) with out_of_range_context('nan'): ae = np.array(self.plane_to_sphere(0.0, np.pi, 0.0, 0.0)) np.testing.assert_array_equal(ae, [np.nan, np.nan]) ae = np.array(self.plane_to_sphere(0.0, 0.0, 4.0, 0.0)) np.testing.assert_array_equal(ae, [np.nan, np.nan]) ae = np.array(self.plane_to_sphere(0.0, 0.0, 0.0, 4.0)) np.testing.assert_array_equal(ae, [np.nan, np.nan]) with out_of_range_context('clip'): ae = np.array(self.plane_to_sphere(0.0, np.pi, 0.0, 0.0)) assert_angles_almost_equal(ae, [0.0, np.pi / 2.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, 0.0, 4.0, 0.0)) assert_angles_almost_equal(ae, [np.pi, 0.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, 0.0, 0.0, 4.0)) assert_angles_almost_equal(ae, [np.pi, 0.0], decimal=12) class TestProjectionSTG(unittest.TestCase): """Test stereographic projection.""" def setUp(self): rs = np.random.RandomState(42) self.plane_to_sphere = katpoint.plane_to_sphere['STG'] self.sphere_to_plane = katpoint.sphere_to_plane['STG'] N = 100 # Stay well away from point of projection max_theta = 0.8 * np.pi self.az0 = np.pi * (2.0 * rs.rand(N) - 1.0) # Keep away from poles (leave them as corner cases) self.el0 = 0.999 * np.pi * (rs.rand(N) - 0.5) # Perform inverse STG mapping to spread out points on plane theta = max_theta * rs.rand(N) r = 2.0 * np.sin(theta) / (1.0 + np.cos(theta)) phi = 2 * np.pi * rs.rand(N) self.x = r * np.cos(phi) self.y = r * np.sin(phi) def test_random_closure(self): """STG projection: do random projections and check closure.""" az, el = self.plane_to_sphere(self.az0, self.el0, self.x, self.y) xx, yy = self.sphere_to_plane(self.az0, self.el0, az, el) aa, ee = self.plane_to_sphere(self.az0, self.el0, xx, yy) np.testing.assert_almost_equal(self.x, xx, decimal=9) np.testing.assert_almost_equal(self.y, yy, decimal=9) assert_angles_almost_equal(az, aa, decimal=9) assert_angles_almost_equal(el, ee, decimal=9) def test_aips_compatibility(self): """STG projection: compare with original AIPS routine.""" if not found_aips: skip("AIPS projection module not found") return az, el = self.plane_to_sphere(self.az0, self.el0, self.x, self.y) xx, yy = self.sphere_to_plane(self.az0, self.el0, az, el) az_aips, el_aips = np.zeros(az.shape), np.zeros(el.shape) x_aips, y_aips = np.zeros(xx.shape), np.zeros(yy.shape) for n in range(len(az)): az_aips[n], el_aips[n], ierr = newpos( 6, self.az0[n], self.el0[n], self.x[n], self.y[n]) x_aips[n], y_aips[n], ierr = dircos( 6, self.az0[n], self.el0[n], az[n], el[n]) self.assertEqual(ierr, 0) # AIPS NEWPOS STG has poor accuracy on azimuth angle (large closure errors by itself) # assert_angles_almost_equal(az, az_aips, decimal=9) assert_angles_almost_equal(el, el_aips, decimal=9) np.testing.assert_almost_equal(xx, x_aips, decimal=9) np.testing.assert_almost_equal(yy, y_aips, decimal=9) def test_corner_cases_sphere_to_plane(self): """STG projection: test special corner cases (sphere->plane).""" # Origin xy = np.array(self.sphere_to_plane(0.0, 0.0, 0.0, 0.0)) np.testing.assert_almost_equal(xy, [0.0, 0.0], decimal=12) # Points 90 degrees from reference point on sphere xy = np.array(self.sphere_to_plane(0.0, 0.0, np.pi / 2.0, 0.0)) np.testing.assert_almost_equal(xy, [2.0, 0.0], decimal=12) xy = np.array(self.sphere_to_plane(0.0, 0.0, -np.pi / 2.0, 0.0)) np.testing.assert_almost_equal(xy, [-2.0, 0.0], decimal=12) xy = np.array(self.sphere_to_plane(0.0, 0.0, 0.0, np.pi / 2.0)) np.testing.assert_almost_equal(xy, [0.0, 2.0], decimal=12) xy = np.array(self.sphere_to_plane(0.0, 0.0, 0.0, -np.pi / 2.0)) np.testing.assert_almost_equal(xy, [0.0, -2.0], decimal=12) # Reference point at pole on sphere xy = np.array(self.sphere_to_plane(0.0, np.pi / 2.0, 0.0, 0.0)) np.testing.assert_almost_equal(xy, [0.0, -2.0], decimal=12) xy = np.array(self.sphere_to_plane(0.0, np.pi / 2.0, np.pi, 0.0)) np.testing.assert_almost_equal(xy, [0.0, 2.0], decimal=12) xy = np.array(self.sphere_to_plane(0.0, np.pi / 2.0, np.pi / 2.0, 0.0)) np.testing.assert_almost_equal(xy, [2.0, 0.0], decimal=12) xy = np.array(self.sphere_to_plane(0.0, np.pi / 2.0, -np.pi / 2.0, 0.0)) np.testing.assert_almost_equal(xy, [-2.0, 0.0], decimal=12) def test_corner_cases_plane_to_sphere(self): """STG projection: test special corner cases (plane->sphere).""" # Origin ae = np.array(self.plane_to_sphere(0.0, 0.0, 0.0, 0.0)) assert_angles_almost_equal(ae, [0.0, 0.0], decimal=12) # Points on circle of radius 2.0 in plane ae = np.array(self.plane_to_sphere(0.0, 0.0, 2.0, 0.0)) assert_angles_almost_equal(ae, [np.pi / 2.0, 0.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, 0.0, -2.0, 0.0)) assert_angles_almost_equal(ae, [-np.pi / 2.0, 0.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, 0.0, 0.0, 2.0)) assert_angles_almost_equal(ae, [0.0, np.pi / 2.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, 0.0, 0.0, -2.0)) assert_angles_almost_equal(ae, [0.0, -np.pi / 2.0], decimal=12) # Reference point at pole on sphere ae = np.array(self.plane_to_sphere(0.0, -np.pi / 2.0, 2.0, 0.0)) assert_angles_almost_equal(ae, [np.pi / 2.0, 0.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, -np.pi / 2.0, -2.0, 0.0)) assert_angles_almost_equal(ae, [-np.pi / 2.0, 0.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, -np.pi / 2.0, 0.0, 2.0)) assert_angles_almost_equal(ae, [0.0, 0.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, -np.pi / 2.0, 0.0, -2.0)) assert_angles_almost_equal(ae, [np.pi, 0.0], decimal=12) def test_out_of_range_cases_sphere_to_plane(self): """STG projection: test out-of-range cases (sphere->plane).""" # Points outside allowed domain on sphere with out_of_range_context('raise'): self.assertRaises(OutOfRangeError, self.sphere_to_plane, 0.0, np.pi, 0.0, 0.0) self.assertRaises(OutOfRangeError, self.sphere_to_plane, 0.0, 0.0, np.pi, 0.0) self.assertRaises(OutOfRangeError, self.sphere_to_plane, 0.0, 0.0, 0.0, np.pi) with out_of_range_context('nan'): xy = np.array(self.sphere_to_plane(0.0, np.pi, 0.0, 0.0)) np.testing.assert_array_equal(xy, [np.nan, np.nan]) xy = np.array(self.sphere_to_plane(0.0, 0.0, np.pi, 0.0)) np.testing.assert_array_equal(xy, [np.nan, np.nan]) xy = np.array(self.sphere_to_plane(0.0, 0.0, 0.0, np.pi)) np.testing.assert_array_equal(xy, [np.nan, np.nan]) with out_of_range_context('clip'): xy = np.array(self.sphere_to_plane(0.0, np.pi, 0.0, 0.0)) np.testing.assert_almost_equal(xy, [0.0, -2.0], decimal=12) xy = np.array(self.sphere_to_plane(0.0, 0.0, np.pi, 0.0)) np.testing.assert_almost_equal(xy, [-894.42495493, 0.0], decimal=8) xy = np.array(self.sphere_to_plane(0.0, 0.0, 0.0, np.pi)) np.testing.assert_almost_equal(xy, [0.0, 2.0], decimal=12) def test_out_of_range_cases_plane_to_sphere(self): """STG projection: test out-of-range cases (plane->sphere).""" # Points outside allowed domain in plane with out_of_range_context('raise'): self.assertRaises(OutOfRangeError, self.plane_to_sphere, 0.0, np.pi, 0.0, 0.0) with out_of_range_context('nan'): ae = np.array(self.plane_to_sphere(0.0, np.pi, 0.0, 0.0)) np.testing.assert_array_equal(ae, [np.nan, np.nan]) with out_of_range_context('clip'): ae = np.array(self.plane_to_sphere(0.0, np.pi, 0.0, 0.0)) assert_angles_almost_equal(ae, [0.0, np.pi / 2.0], decimal=12) class TestProjectionCAR(unittest.TestCase): """Test plate carree projection.""" def setUp(self): rs = np.random.RandomState(42) self.plane_to_sphere = katpoint.plane_to_sphere['CAR'] self.sphere_to_plane = katpoint.sphere_to_plane['CAR'] N = 100 # Unrestricted (az0, el0) points on sphere self.az0 = np.pi * (2.0 * rs.rand(N) - 1.0) self.el0 = np.pi * (rs.rand(N) - 0.5) # Unrestricted (x, y) points on corresponding plane self.x = np.pi * (2.0 * rs.rand(N) - 1.0) self.y = np.pi * (rs.rand(N) - 0.5) def test_random_closure(self): """CAR projection: do random projections and check closure.""" az, el = self.plane_to_sphere(self.az0, self.el0, self.x, self.y) xx, yy = self.sphere_to_plane(self.az0, self.el0, az, el) aa, ee = self.plane_to_sphere(self.az0, self.el0, xx, yy) np.testing.assert_almost_equal(self.x, xx, decimal=12) np.testing.assert_almost_equal(self.y, yy, decimal=12) assert_angles_almost_equal(az, aa, decimal=12) assert_angles_almost_equal(el, ee, decimal=12) def sphere_to_plane_original_ssn(target_az, target_el, scan_az, scan_el): """Mattieu's original version of SSN projection.""" ll = np.cos(target_el) * np.sin(target_az - scan_az) mm = np.cos(target_el) * np.sin(scan_el) * np.cos( target_az - scan_az) - np.cos(scan_el) * np.sin(target_el) return ll, mm def plane_to_sphere_original_ssn(target_az, target_el, ll, mm): """Mattieu's original version of SSN projection.""" scan_az = target_az - np.arcsin(np.clip(ll / np.cos(target_el), -1.0, 1.0)) scan_el = np.arcsin(np.clip( (np.sqrt(1.0 - ll**2 - mm**2) * np.sin(target_el) + np.sqrt(np.cos(target_el)**2 - ll**2) * mm) / (1.0 - ll**2), -1.0, 1.0)) return scan_az, scan_el class TestProjectionSSN(unittest.TestCase): """Test swapped orthographic projection.""" def setUp(self): rs = np.random.RandomState(42) self.plane_to_sphere = katpoint.plane_to_sphere['SSN'] self.sphere_to_plane = katpoint.sphere_to_plane['SSN'] N = 100 self.az0 = np.pi * (2.0 * rs.rand(N) - 1.0) # Keep away from poles (leave them as corner cases) self.el0 = 0.999 * np.pi * (rs.rand(N) - 0.5) # (x, y) points within complicated SSN domain - clipped unit circle cos_el0 = np.cos(self.el0) # The x coordinate is bounded by +- cos(el0) self.x = (2 * rs.rand(N) - 1) * cos_el0 # The y coordinate ranges between two (semi-)circles centred on origin: # the unit circle on one side and circle of radius cos(el0) on other side y_offset = -np.sqrt(cos_el0 ** 2 - self.x ** 2) y_range = -y_offset + np.sqrt(1.0 - self.x ** 2) self.y = (y_range * rs.rand(N) + y_offset) * np.sign(self.el0) def test_random_closure(self): """SSN projection: do random projections and check closure.""" az, el = self.plane_to_sphere(self.az0, self.el0, self.x, self.y) xx, yy = self.sphere_to_plane(self.az0, self.el0, az, el) aa, ee = self.plane_to_sphere(self.az0, self.el0, xx, yy) np.testing.assert_almost_equal(self.x, xx, decimal=10) np.testing.assert_almost_equal(self.y, yy, decimal=10) assert_angles_almost_equal(az, aa, decimal=10) assert_angles_almost_equal(el, ee, decimal=10) def test_vs_original_ssn(self): """SSN projection: compare against Mattieu's original version.""" az, el = self.plane_to_sphere(self.az0, self.el0, self.x, self.y) ll, mm = sphere_to_plane_original_ssn(self.az0, self.el0, az, el) aa, ee = plane_to_sphere_original_ssn(self.az0, self.el0, ll, mm) np.testing.assert_almost_equal(self.x, ll, decimal=10) np.testing.assert_almost_equal(self.y, -mm, decimal=10) assert_angles_almost_equal(az, aa, decimal=10) assert_angles_almost_equal(el, ee, decimal=10) def test_corner_cases_sphere_to_plane(self): """SSN projection: test special corner cases (sphere->plane).""" # Origin xy = np.array(self.sphere_to_plane(0.0, 0.0, 0.0, 0.0)) np.testing.assert_almost_equal(xy, [0.0, 0.0], decimal=12) # Points 90 degrees from reference point on sphere xy = np.array(self.sphere_to_plane(0.0, 0.0, np.pi / 2.0, 0.0)) np.testing.assert_almost_equal(xy, [-1.0, 0.0], decimal=12) xy = np.array(self.sphere_to_plane(0.0, 0.0, -np.pi / 2.0, 0.0)) np.testing.assert_almost_equal(xy, [1.0, 0.0], decimal=12) xy = np.array(self.sphere_to_plane(0.0, 0.0, 0.0, np.pi / 2.0)) np.testing.assert_almost_equal(xy, [0.0, -1.0], decimal=12) xy = np.array(self.sphere_to_plane(0.0, 0.0, 0.0, -np.pi / 2.0)) np.testing.assert_almost_equal(xy, [0.0, 1.0], decimal=12) # Reference point at pole on sphere xy = np.array(self.sphere_to_plane(0.0, np.pi / 2.0, 0.0, 0.0)) np.testing.assert_almost_equal(xy, [0.0, 1.0], decimal=12) xy = np.array(self.sphere_to_plane(0.0, np.pi / 2.0, np.pi, 1e-8)) np.testing.assert_almost_equal(xy, [0.0, 1.0], decimal=12) xy = np.array(self.sphere_to_plane(0.0, np.pi / 2.0, np.pi / 2.0, 0.0)) np.testing.assert_almost_equal(xy, [0.0, 1.0], decimal=12) xy = np.array(self.sphere_to_plane(0.0, np.pi / 2.0, -np.pi / 2.0, 0.0)) np.testing.assert_almost_equal(xy, [0.0, 1.0], decimal=12) def test_corner_cases_plane_to_sphere(self): """SSN projection: test special corner cases (plane->sphere).""" # Origin ae = np.array(self.plane_to_sphere(0.0, 0.0, 0.0, 0.0)) assert_angles_almost_equal(ae, [0.0, 0.0], decimal=12) # Points on unit circle in plane ae = np.array(self.plane_to_sphere(0.0, 0.0, 1.0, 0.0)) assert_angles_almost_equal(ae, [-np.pi / 2.0, 0.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, 0.0, -1.0, 0.0)) assert_angles_almost_equal(ae, [np.pi / 2.0, 0.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, 0.0, 0.0, 1.0)) assert_angles_almost_equal(ae, [0.0, -np.pi / 2.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, 0.0, 0.0, -1.0)) assert_angles_almost_equal(ae, [0.0, np.pi / 2.0], decimal=12) # Reference point at pole on sphere ae = np.array(self.plane_to_sphere(0.0, np.pi / 2.0, 0.0, 1.0)) assert_angles_almost_equal(ae, [0.0, 0.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, -np.pi / 2.0, 0.0, -1.0)) assert_angles_almost_equal(ae, [0.0, 0.0], decimal=12) # Test valid (x, y) domain ae = np.array(self.plane_to_sphere(0.0, 1.0, 0.0, -np.cos(1.0))) assert_angles_almost_equal(ae, [0.0, np.pi / 2.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, -1.0, 0.0, np.cos(1.0))) assert_angles_almost_equal(ae, [0.0, -np.pi / 2.0], decimal=12) def test_out_of_range_cases_sphere_to_plane(self): """SSN projection: test out-of-range cases (sphere->plane).""" # Points outside allowed domain on sphere with out_of_range_context('raise'): self.assertRaises(OutOfRangeError, self.sphere_to_plane, 0.0, np.pi, 0.0, 0.0) self.assertRaises(OutOfRangeError, self.sphere_to_plane, 0.0, 0.0, np.pi, 0.0) self.assertRaises(OutOfRangeError, self.sphere_to_plane, 0.0, 0.0, 0.0, np.pi) with out_of_range_context('nan'): xy = np.array(self.sphere_to_plane(0.0, np.pi, 0.0, 0.0)) np.testing.assert_array_equal(xy, [np.nan, np.nan]) xy = np.array(self.sphere_to_plane(0.0, 0.0, np.pi, 0.0)) np.testing.assert_array_equal(xy, [np.nan, np.nan]) xy = np.array(self.sphere_to_plane(0.0, 0.0, 0.0, np.pi)) np.testing.assert_array_equal(xy, [np.nan, np.nan]) with out_of_range_context('clip'): xy = np.array(self.sphere_to_plane(0.0, np.pi, 0.0, 0.0)) np.testing.assert_almost_equal(xy, [0.0, 1.0], decimal=12) xy = np.array(self.sphere_to_plane(0.0, 0.0, np.pi, 0.0)) np.testing.assert_almost_equal(xy, [-1.0, 0.0], decimal=12) xy = np.array(self.sphere_to_plane(0.0, 0.0, 0.0, np.pi)) np.testing.assert_almost_equal(xy, [0.0, -1.0], decimal=12) def test_out_of_range_cases_plane_to_sphere(self): """SSN projection: test out-of-range cases (plane->sphere).""" # Points outside allowed domain in plane with out_of_range_context('raise'): self.assertRaises(OutOfRangeError, self.plane_to_sphere, 0.0, np.pi, 0.0, 0.0) self.assertRaises(OutOfRangeError, self.plane_to_sphere, 0.0, 0.0, 2.0, 0.0) self.assertRaises(OutOfRangeError, self.plane_to_sphere, 0.0, 0.0, 0.0, 2.0) with out_of_range_context('nan'): # Bad el0 > 90 degrees ae = np.array(self.plane_to_sphere(0.0, np.pi, 0.0, 0.0)) np.testing.assert_array_equal(ae, [np.nan, np.nan]) # Bad (x, y) vector length > 1.0 ae = np.array(self.plane_to_sphere(0.0, 0.0, 2.0, 0.0)) np.testing.assert_array_equal(ae, [np.nan, np.nan]) ae = np.array(self.plane_to_sphere(0.0, 0.0, 0.0, 2.0)) np.testing.assert_array_equal(ae, [np.nan, np.nan]) # Bad x coordinate > cos(el0) ae = np.array(self.plane_to_sphere(0.0, np.pi / 2.0, 1.0, 0.0)) np.testing.assert_array_equal(ae, [np.nan, np.nan]) ae = np.array(self.plane_to_sphere(0.0, np.pi / 2.0, -1.0, 0.0)) np.testing.assert_array_equal(ae, [np.nan, np.nan]) # Bad y coordinate -> den < 0 ae = np.array(self.plane_to_sphere(0.0, np.pi / 2.0, 0.0, -1.0)) np.testing.assert_array_equal(ae, [np.nan, np.nan]) with out_of_range_context('clip'): ae = np.array(self.plane_to_sphere(0.0, np.pi, 0.0, 0.0)) assert_angles_almost_equal(ae, [0.0, np.pi / 2.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, 0.0, 2.0, 0.0)) assert_angles_almost_equal(ae, [-np.pi / 2.0, 0.0], decimal=12) ae = np.array(self.plane_to_sphere(0.0, 0.0, 0.0, 2.0)) assert_angles_almost_equal(ae, [0.0, -np.pi / 2.0], decimal=12)

53.487321

98

0.602869

8,232

48,513

3.374757

0.038751

0.067456

0.057773

0.041323

0.884561

0.870847

0.854037

0.835823

0.817033

0.801483

0

0.064583

0.243564

48,513

906

99

53.546358

0.692454

0.109723

0

0.732493

0

0.015186

0

0.340336

1

0.071429

false

0.001401

0.014006

0.001401

0.105042

0.001401

0

null

0

1

0

1

0

null

0

7

bcf2115d8e1f602ed7bead3e5da7ba0420c2e8bd

210

py

Python

src/datasets/__init__.py

likojack/bnv_fusion

76b7354c6f3bf8c7f7e1ff4d958de0e73ec3e614

[ "MIT" ]

null

src/datasets/__init__.py

likojack/bnv_fusion

76b7354c6f3bf8c7f7e1ff4d958de0e73ec3e614

[ "MIT" ]

null

src/datasets/__init__.py

likojack/bnv_fusion

76b7354c6f3bf8c7f7e1ff4d958de0e73ec3e614

[ "MIT" ]

null

from .datasets import register, get_dataset from .fusion_dataset import FusionRefinerDataset from .fusion_dataset import FusionRefinerScanNetDataset from .fusion_inference_dataset import FusionInferenceDataset

42

60

0.895238

22

210

8.318182

0.5

0.163934

0.185792

0.251366

0

0.080952

210

4

61

52.5

0.948187

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

7

4c14ca0858f9ae268fff7b88b2c385660701946c

19

py

Python

JuneLong19/xorprop.py

mayank-kumar-giri/Competitive-Coding

4cd26ede051bad15bf25cfd037317c313b607507

[ "MIT" ]

null

JuneLong19/xorprop.py

mayank-kumar-giri/Competitive-Coding

4cd26ede051bad15bf25cfd037317c313b607507

[ "MIT" ]

null

JuneLong19/xorprop.py

mayank-kumar-giri/Competitive-Coding

4cd26ede051bad15bf25cfd037317c313b607507

[ "MIT" ]

null

print((189748^7)^7)

19

0.684211

4

19

3.25

0.75

0

0.421053

0

19

1

19

0.263158

0

1

0

true

0

1

0

null

0

1

0

1

0

1

0

null

0

1

0

1

0

7

4c6e73223c1a6be522a33cae46307743ec7f7804

7,127

py

Python

resource/production_tests/wrapper/obfuscate/goalkeeper.py

qmao/webds_api

ca5bf9ad3c1304be223b7e47c57ee10fb40d92e1

[ "BSD-3-Clause" ]

null

resource/production_tests/wrapper/obfuscate/goalkeeper.py

qmao/webds_api

ca5bf9ad3c1304be223b7e47c57ee10fb40d92e1

[ "BSD-3-Clause" ]

null

resource/production_tests/wrapper/obfuscate/goalkeeper.py

qmao/webds_api

ca5bf9ad3c1304be223b7e47c57ee10fb40d92e1

[ "BSD-3-Clause" ]

null

print('Start to run bootstrap code') import sys sys.path.append("/usr/local/syna/lib/python/production_tests/wrapper/obfuscate/pytransform") from pytransform import pyarmor_runtime pyarmor_runtime() __pyarmor__(__name__, __file__, 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2)

1,018.142857

6,927

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7,127

3.045584

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0.021328

0.02189

0.017961

0.007297

0.00449

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0.301688

0.002385

7,127

7

6,927

1,018.142857

0.45007

0

0.166667

0.980359

0.976571

0

1

0

1

0

true

0

0.333333

0

0.333333

0.166667

0

null

0

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1

null

1

0

1

0

1

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10

4c78ca7bae6c2268518e8713646d75d07621d41b

8,151

py

Python

fhirclient/r4models/imagingstudy_tests.py

cspears-mitre/CapStatement

2390566ed75d420e0615e3a0aacb77e8c030fdcc

[ "Apache-2.0" ]

1

2021-12-24T11:14:38.000Z

fhirclient/r4models/imagingstudy_tests.py

cspears-mitre/CapStatement

2390566ed75d420e0615e3a0aacb77e8c030fdcc

[ "Apache-2.0" ]

null

fhirclient/r4models/imagingstudy_tests.py

cspears-mitre/CapStatement

2390566ed75d420e0615e3a0aacb77e8c030fdcc

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- # # Generated from FHIR 3.6.0-bd605d07 on 2018-12-20. # 2018, SMART Health IT. import os import io import unittest import json from . import imagingstudy from .fhirdate import FHIRDate class ImagingStudyTests(unittest.TestCase): def instantiate_from(self, filename): datadir = os.environ.get('FHIR_UNITTEST_DATADIR') or '' with io.open(os.path.join(datadir, filename), 'r', encoding='utf-8') as handle: js = json.load(handle) self.assertEqual("ImagingStudy", js["resourceType"]) return imagingstudy.ImagingStudy(js) def testImagingStudy1(self): inst = self.instantiate_from("imagingstudy-example-xr.json") self.assertIsNotNone(inst, "Must have instantiated a ImagingStudy instance") self.implImagingStudy1(inst) js = inst.as_json() self.assertEqual("ImagingStudy", js["resourceType"]) inst2 = imagingstudy.ImagingStudy(js) self.implImagingStudy1(inst2) def implImagingStudy1(self, inst): self.assertEqual(inst.id, "example-xr") self.assertEqual(inst.identifier[0].system, "urn:dicom:uid") self.assertEqual(inst.identifier[0].use, "official") self.assertEqual(inst.identifier[0].value, "urn:oid:2.16.124.113543.6003.1154777499.30246.19789.3503430046") self.assertEqual(inst.identifier[1].type.coding[0].code, "ACSN") self.assertEqual(inst.identifier[1].type.coding[0].system, "http://terminology.hl7.org/CodeSystem/v2-0203") self.assertEqual(inst.identifier[1].use, "usual") self.assertEqual(inst.identifier[1].value, "W12342398") self.assertEqual(inst.identifier[2].use, "secondary") self.assertEqual(inst.identifier[2].value, "55551234") self.assertEqual(inst.meta.tag[0].code, "HTEST") self.assertEqual(inst.meta.tag[0].display, "test health data") self.assertEqual(inst.meta.tag[0].system, "http://hl7.org/fhir/v3/ActReason") self.assertEqual(inst.modality[0].code, "DX") self.assertEqual(inst.modality[0].system, "http://dicom.nema.org/resources/ontology/DCM") self.assertEqual(inst.note[0].text, "XR Wrist 3+ Views") self.assertEqual(inst.numberOfInstances, 2) self.assertEqual(inst.numberOfSeries, 1) self.assertEqual(inst.procedureCode[0].coding[0].code, "RPID2589") self.assertEqual(inst.procedureCode[0].coding[0].display, "XR Wrist 3+ Views") self.assertEqual(inst.procedureCode[0].coding[0].system, "http://www.radlex.org") self.assertEqual(inst.procedureCode[0].text, "XR Wrist 3+ Views") self.assertEqual(inst.reasonCode[0].coding[0].code, "357009") self.assertEqual(inst.reasonCode[0].coding[0].display, "Closed fracture of trapezoidal bone of wrist") self.assertEqual(inst.reasonCode[0].coding[0].system, "http://snomed.info/sct") self.assertEqual(inst.series[0].bodySite.code, "T-15460") self.assertEqual(inst.series[0].bodySite.display, "Wrist Joint") self.assertEqual(inst.series[0].bodySite.system, "http://snomed.info/sct") self.assertEqual(inst.series[0].description, "XR Wrist 3+ Views") self.assertEqual(inst.series[0].instance[0].number, 1) self.assertEqual(inst.series[0].instance[0].sopClass.code, "urn:oid:1.2.840.10008.5.1.4.1.1.2") self.assertEqual(inst.series[0].instance[0].sopClass.system, "urn:ietf:rfc:3986") self.assertEqual(inst.series[0].instance[0].title, "PA VIEW") self.assertEqual(inst.series[0].instance[0].uid, "2.16.124.113543.6003.1154777499.30246.19789.3503430045.1.1") self.assertEqual(inst.series[0].instance[1].number, 2) self.assertEqual(inst.series[0].instance[1].sopClass.code, "urn:oid:1.2.840.10008.5.1.4.1.1.2") self.assertEqual(inst.series[0].instance[1].sopClass.system, "urn:ietf:rfc:3986") self.assertEqual(inst.series[0].instance[1].title, "LL VIEW") self.assertEqual(inst.series[0].instance[1].uid, "2.16.124.113543.6003.1154777499.30246.19789.3503430045.1.2") self.assertEqual(inst.series[0].laterality.code, "419161000") self.assertEqual(inst.series[0].laterality.display, "Unilateral left") self.assertEqual(inst.series[0].laterality.system, "http://snomed.info/sct") self.assertEqual(inst.series[0].modality.code, "DX") self.assertEqual(inst.series[0].modality.system, "http://dicom.nema.org/resources/ontology/DCM") self.assertEqual(inst.series[0].number, 3) self.assertEqual(inst.series[0].numberOfInstances, 2) self.assertEqual(inst.series[0].performer[0].function.coding[0].code, "PRF") self.assertEqual(inst.series[0].performer[0].function.coding[0].system, "http://terminology.hl7.org/CodeSystem/v3-ParticipationType") self.assertEqual(inst.series[0].started.date, FHIRDate("2011-01-01T11:01:20+03:00").date) self.assertEqual(inst.series[0].started.as_json(), "2011-01-01T11:01:20+03:00") self.assertEqual(inst.series[0].uid, "2.16.124.113543.6003.1154777499.30246.19789.3503430045.1") self.assertEqual(inst.started.date, FHIRDate("2017-01-01T11:01:20+03:00").date) self.assertEqual(inst.started.as_json(), "2017-01-01T11:01:20+03:00") self.assertEqual(inst.status, "available") self.assertEqual(inst.text.div, "<div xmlns=\"http://www.w3.org/1999/xhtml\">XR Wrist 3+ Views. John Smith (MRN: 09236). Accession: W12342398. Performed: 2017-01-01. 1 series, 2 images.</div>") self.assertEqual(inst.text.status, "generated") def testImagingStudy2(self): inst = self.instantiate_from("imagingstudy-example.json") self.assertIsNotNone(inst, "Must have instantiated a ImagingStudy instance") self.implImagingStudy2(inst) js = inst.as_json() self.assertEqual("ImagingStudy", js["resourceType"]) inst2 = imagingstudy.ImagingStudy(js) self.implImagingStudy2(inst2) def implImagingStudy2(self, inst): self.assertEqual(inst.id, "example") self.assertEqual(inst.identifier[0].system, "urn:dicom:uid") self.assertEqual(inst.identifier[0].value, "urn:oid:2.16.124.113543.6003.1154777499.30246.19789.3503430045") self.assertEqual(inst.meta.tag[0].code, "HTEST") self.assertEqual(inst.meta.tag[0].display, "test health data") self.assertEqual(inst.meta.tag[0].system, "http://hl7.org/fhir/v3/ActReason") self.assertEqual(inst.numberOfInstances, 1) self.assertEqual(inst.numberOfSeries, 1) self.assertEqual(inst.series[0].bodySite.code, "67734004") self.assertEqual(inst.series[0].bodySite.display, "Upper Trunk Structure") self.assertEqual(inst.series[0].bodySite.system, "http://snomed.info/sct") self.assertEqual(inst.series[0].description, "CT Surview 180") self.assertEqual(inst.series[0].instance[0].number, 1) self.assertEqual(inst.series[0].instance[0].sopClass.code, "urn:oid:1.2.840.10008.5.1.4.1.1.2") self.assertEqual(inst.series[0].instance[0].sopClass.system, "urn:ietf:rfc:3986") self.assertEqual(inst.series[0].instance[0].uid, "2.16.124.113543.6003.189642796.63084.16748.2599092903") self.assertEqual(inst.series[0].modality.code, "CT") self.assertEqual(inst.series[0].modality.system, "http://dicom.nema.org/resources/ontology/DCM") self.assertEqual(inst.series[0].number, 3) self.assertEqual(inst.series[0].numberOfInstances, 1) self.assertEqual(inst.series[0].uid, "2.16.124.113543.6003.2588828330.45298.17418.2723805630") self.assertEqual(inst.started.date, FHIRDate("2011-01-01T11:01:20+03:00").date) self.assertEqual(inst.started.as_json(), "2011-01-01T11:01:20+03:00") self.assertEqual(inst.status, "available") self.assertEqual(inst.text.div, "<div xmlns=\"http://www.w3.org/1999/xhtml\">CT Chest. John Smith (MRN: 09236). Accession: W12342398. Performed: 2011-01-01. 3 series, 12 images.</div>") self.assertEqual(inst.text.status, "generated")

62.7

201

0.685928

1,092

8,151

5.110806

0.18315

0.228454

0.279161

0.1747

0.82745

0.776563

0.745386

0.611181

0.547393

0.525712

0

0.109012

0.149184

8,151

129

202

63.186047

0.695746

0.014354

0

0.309735

1

0.079646

0.249128

0.090433

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1

0.044248

false

0

0.053097

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0.115044

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null

1

0

1

0

null

0

1

0

8

d5cc46127ff5a6697c942492d307b6b294d3b6e9

96

py

Python

backend/core/models/__init__.py

jesusmaherrera/django-nuxtjs

f8d9500fb236c4cd938e9a6bbaf8063e545dd6fe

[ "MIT" ]

null

backend/core/models/__init__.py

jesusmaherrera/django-nuxtjs

f8d9500fb236c4cd938e9a6bbaf8063e545dd6fe

[ "MIT" ]

null

backend/core/models/__init__.py

jesusmaherrera/django-nuxtjs

f8d9500fb236c4cd938e9a6bbaf8063e545dd6fe

[ "MIT" ]

null

from backend.core.models.choice import Choice from backend.core.models.question import Question

32

49

0.854167

14

96

5.857143

0.5

0.268293

0.365854

0.512195

0

0.083333

96

2

50

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0.931818

0

1

0

true

0

1

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1

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null

1

0

1

0

null

0

1

0

1

0

1

0

8

d5e76bed47499c7084a8acbe0e18ea083ffaa957

11,049

py

Python

views.py

jooonyliks/feeds

0d52a54baa0df51ae86e82d61063840124b8718c

[ "MIT" ]

null

views.py

jooonyliks/feeds

0d52a54baa0df51ae86e82d61063840124b8718c

[ "MIT" ]

null

views.py

jooonyliks/feeds

0d52a54baa0df51ae86e82d61063840124b8718c

[ "MIT" ]

1

2019-06-19T05:13:43.000Z

from django.shortcuts import render from django.http import HttpResponse from xml.dom.minidom import parse,Node import xml.dom.minidom import wget import os def home(request): return render(request,"main.html") def bbc(request): url = "http://feeds.bbci.co.uk/news/world/rss.xml" default_path = "C:\\Users\\dell\\Desktop\\rssfeeds\\feeds\\xmls\\bbc.xml" if os.path.exists(default_path): os.remove(default_path) else: print("FileNotPresentError") wget.download(url,default_path) location = default_path data_source = open(location) dom1 = parse(data_source) r= dom1.documentElement tv = r.getElementsByTagName("item") d = dict() for items in tv: title = items.getElementsByTagName('title')[0] w = title.childNodes[0].data description = items.getElementsByTagName('description')[0] k = description.childNodes[0].data link = items.getElementsByTagName('link')[0] web_link = link.childNodes[0].data d[w] = [k,web_link] context = { "title" : d.items() # "link": b.items() } return render(request,'bbc.html',context=context) def washington(request): url = "https://www.washingtontimes.com/rss/headlines/news/national/" default_path = "C:\\Users\\dell\\Desktop\\rssfeeds\\feeds\\xmls\\washing.xml" if os.path.exists(default_path): os.remove(default_path) else: print("FileNotPresentError") wget.download(url,"C:\\Users\\dell\\Desktop\\rssfeeds\\feeds\\xmls\\washing.xml") location = "C:\\Users\\dell\\Desktop\\rssfeeds\\feeds\\xmls\\washing.xml" data_source = open(location) dom1 = parse(data_source) r= dom1.documentElement tv = r.getElementsByTagName("item") d = dict() for items in tv: title = items.getElementsByTagName('title')[0] w = title.childNodes[0].data description = items.getElementsByTagName('description')[0] k = description.childNodes[0].data link = items.getElementsByTagName('link')[0] web_link = link.childNodes[0].data d[w] = [k,web_link] context = { "title" : d.items() # "link": b.items() } return render(request,'washing.html',context=context) def reuters(request): url = "http://feeds.reuters.com/Reuters/worldNews" default_path = "C:\\Users\\dell\\Desktop\\rssfeeds\\feeds\\xmls\\reuters.xml" if os.path.exists(default_path): os.remove(default_path) else: print("FileNotPresentError") wget.download(url,"C:\\Users\\dell\\Desktop\\rssfeeds\\feeds\\xmls\\reuters.xml") location = "C:\\Users\\dell\\Desktop\\rssfeeds\\feeds\\xmls\\reuters.xml" data_source = open(location) dom1 = parse(data_source) r= dom1.documentElement tv = r.getElementsByTagName("item") d = dict() for items in tv: title = items.getElementsByTagName('title')[0] w = title.childNodes[0].data description = items.getElementsByTagName('description')[0] k = description.childNodes[0].data link = items.getElementsByTagName('link')[0] web_link = link.childNodes[0].data d[w] = [k,web_link] context = { "title" : d.items() # "link": b.items() } return render(request,"reuters.html",context=context) def aljazeera(request): url = "https://www.aljazeera.com/xml/rss/all.xml" default_path = "C:\\Users\\dell\\Desktop\\rssfeeds\\feeds\\xmls\\aljazeera.xml" if os.path.exists(default_path): os.remove(default_path) else: print("FileNotPresentError") wget.download(url,"C:\\Users\\dell\\Desktop\\rssfeeds\\feeds\\xmls\\aljazeera.xml") location = "C:\\Users\\dell\\Desktop\\rssfeeds\\feeds\\xmls\\aljazeera.xml" data_source = open(location) dom1 = parse(data_source) r= dom1.documentElement tv = r.getElementsByTagName("item") d = dict() for items in tv: title = items.getElementsByTagName('title')[0] w = title.childNodes[0].data description = items.getElementsByTagName('description')[0] k = description.childNodes[0].data link = items.getElementsByTagName('link')[0] web_link = link.childNodes[0].data d[w] = [k,web_link] context = { "title" : d.items() # "link": b.items() } return render(request,'aljazeera.html',context=context) def cnn(request): url = "http://rss.cnn.com/rss/edition.rss" default_path = "C:\\Users\\dell\\Desktop\\rssfeeds\\feeds\\xmls\\cnn.xml" if os.path.exists(default_path): os.remove(default_path) else: print("FileNotPresentError") wget.download(url,"C:\\Users\\dell\\Desktop\\rssfeeds\\feeds\\xmls\\cnn.xml") location = "C:\\Users\\dell\\Desktop\\rssfeeds\\feeds\\xmls\\cnn.xml" data_source = open(location) dom1 = parse(data_source) r= dom1.documentElement tv = r.getElementsByTagName("item") d = dict() for items in tv: title = items.getElementsByTagName('title')[0] w = title.childNodes[0].data description = items.getElementsByTagName('description')[0] k = description.childNodes[0].data link = items.getElementsByTagName('link')[0] web_link = link.childNodes[0].data d[w] = [k,web_link] context = { "title" : d.items() # "link": b.items() } return render(request,'cnn.html',context=context) def dw(request): url = "http://rss.dw.com/rdf/rss-en-all" default_path = "C:\\Users\\dell\\Desktop\\rssfeeds\\feeds\\xmls\\dw.xml" if os.path.exists(default_path): os.remove(default_path) else: print("FileNotPresentError") wget.download(url,"C:\\Users\\dell\\Desktop\\rssfeeds\\feeds\\xmls\\dw.xml") location = "C:\\Users\\dell\\Desktop\\rssfeeds\\feeds\\xmls\\dw.xml" data_source = open(location) dom1 = parse(data_source) r= dom1.documentElement tv = r.getElementsByTagName("item") d = dict() for items in tv: title = items.getElementsByTagName('title')[0] w = title.childNodes[0].data description = items.getElementsByTagName('description')[0] k = description.childNodes[0].data link = items.getElementsByTagName('link')[0] web_link = link.childNodes[0].data d[w] = [k,web_link] context = { "title" : d.items() # "link": b.items() } return render(request,'dw.html',context=context) def espn(request): url = "https://www.espn.com/espn/rss/news" default_path = "C:\\Users\\dell\\Desktop\\rssfeeds\\feeds\\xmls\\espn.xml" if os.path.exists(default_path): os.remove(default_path) else: print("FileNotPresentError") wget.download(url,"C:\\Users\\dell\\Desktop\\rssfeeds\\feeds\\xmls\\espn.xml") location = "C:\\Users\\dell\\Desktop\\rssfeeds\\feeds\\xmls\\espn.xml" data_source = open(location) dom1 = parse(data_source) r= dom1.documentElement tv = r.getElementsByTagName("item") d = dict() for items in tv: title = items.getElementsByTagName('title')[0] w = title.childNodes[0].data description = items.getElementsByTagName('description')[0] k = description.childNodes[0].data link = items.getElementsByTagName('link')[0] web_link = link.childNodes[0].data d[w] = [k,web_link] context = { "title" : d.items() # "link": b.items() } return render(request,'espn.html',context=context) def greatgoals(request): url = "https://www.goal.com/feeds/en/news" default_path = "C:\\Users\\dell\\Desktop\\rssfeeds\\feeds\\xmls\\great-goals.xml" if os.path.exists(default_path): os.remove(default_path) else: print("FileNotPresentError") wget.download(url,"C:\\Users\\dell\\Desktop\\rssfeeds\\feeds\\xmls\\great-goals.xml") location = "C:\\Users\\dell\\Desktop\\rssfeeds\\feeds\\xmls\\great-goals.xml" data_source = open(location) dom1 = parse(data_source) r= dom1.documentElement tv = r.getElementsByTagName("item") d = dict() for items in tv: title = items.getElementsByTagName('title')[0] w = title.childNodes[0].data description = items.getElementsByTagName('description')[0] k = description.childNodes[0].data link = items.getElementsByTagName('link')[0] web_link = link.childNodes[0].data d[w] = [k,web_link] context = { "title" : d.items() # "link": b.items() } return render(request,'great-goals.html',context=context) def skysports(request): url = "https://www.espn.com/espn/rss/news" default_path = "C:\\Users\\dell\\Desktop\\rssfeeds\\feeds\\xmls\\sky-sports.xml" if os.path.exists(default_path): os.remove(default_path) else: print("FileNotPresentError") wget.download(url,"C:\\Users\\dell\\Desktop\\rssfeeds\\feeds\\xmls\\sky-sports.xml") location = "C:\\Users\\dell\\Desktop\\rssfeeds\\feeds\\xmls\\sky-sports.xml" data_source = open(location) dom1 = parse(data_source) r= dom1.documentElement tv = r.getElementsByTagName("item") d = dict() for items in tv: title = items.getElementsByTagName('title')[0] w = title.childNodes[0].data description = items.getElementsByTagName('description')[0] k = description.childNodes[0].data link = items.getElementsByTagName('link')[0] web_link = link.childNodes[0].data d[w] = [k,web_link] context = { "title" : d.items() # "link": b.items() } return render(request,'sky-sports.html',context=context) def soccernews(request): url = "http://www.soccernews.com/feed" default_path = "C:\\Users\\dell\\Desktop\\rssfeeds\\feeds\\xmls\\soccernews.xml" if os.path.exists(default_path): os.remove(default_path) else: print("FileNotPresentError") wget.download(url,"C:\\Users\\dell\\Desktop\\rssfeeds\\feeds\\xmls\\soccernews.xml") location = "C:\\Users\\dell\\Desktop\\rssfeeds\\feeds\\xmls\\soccernews.xml" data_source = open(location) dom1 = parse(data_source) r= dom1.documentElement tv = r.getElementsByTagName("item") d = dict() for items in tv: title = items.getElementsByTagName('title')[0] w = title.childNodes[0].data description = items.getElementsByTagName('description')[0] k = description.childNodes[0].data link = items.getElementsByTagName('link')[0] web_link = link.childNodes[0].data d[w] = [k,web_link] context = { "title" : d.items() # "link": b.items() } return render(request,'soccernews.html',context=context)

33.892638

89

0.618155

1,309

11,049

5.16272

0.073338

0.052086

0.066588

0.070435

0.872004

0.771086

0

0.009345

0.225179

11,049

326

90

33.892638

0.780049

0.016201

0

0.716418

0

0.245304

0.154328

0

1

0.041045

false

0

0.022388

0.003731

0.104478

0.037313

0

null

0

1

0

1

0

null

0

7

d5f32093345d25a85510cce99937f04148b2b41a

44,910

py

Python

test/unit/test_discovery_v2.py

knishika/watson-developer-cloud-python-sdk

83370b74e19ebdb851af212ef75f470551b59c94

[ "Apache-2.0" ]

1

2020-08-14T16:07:23.000Z

test/unit/test_discovery_v2.py

johnjdailey/python-sdk

83370b74e19ebdb851af212ef75f470551b59c94

[ "Apache-2.0" ]

null

test/unit/test_discovery_v2.py

johnjdailey/python-sdk

83370b74e19ebdb851af212ef75f470551b59c94

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # (C) Copyright IBM Corp. 2019, 2020. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from datetime import datetime from ibm_cloud_sdk_core.authenticators.no_auth_authenticator import NoAuthAuthenticator import inspect import json import pytest import responses import tempfile import ibm_watson.discovery_v2 from ibm_watson.discovery_v2 import * base_url = 'https://fake' ############################################################################## # Start of Service: Collections ############################################################################## # region #----------------------------------------------------------------------------- # Test Class for list_collections #----------------------------------------------------------------------------- class TestListCollections(): #-------------------------------------------------------- # Test 1: Send fake data and check response #-------------------------------------------------------- @responses.activate def test_list_collections_response(self): body = self.construct_full_body() response = fake_response_ListCollectionsResponse_json send_request(self, body, response) assert len(responses.calls) == 1 #-------------------------------------------------------- # Test 2: Send only required fake data and check response #-------------------------------------------------------- @responses.activate def test_list_collections_required_response(self): # Check response with required params body = self.construct_required_body() response = fake_response_ListCollectionsResponse_json send_request(self, body, response) assert len(responses.calls) == 1 #-------------------------------------------------------- # Test 3: Send empty data and check response #-------------------------------------------------------- @responses.activate def test_list_collections_empty(self): check_empty_required_params(self, fake_response_ListCollectionsResponse_json) check_missing_required_params(self) assert len(responses.calls) == 0 #----------- #- Helpers - #----------- def make_url(self, body): endpoint = '/v2/projects/{0}/collections'.format(body['project_id']) url = '{0}{1}'.format(base_url, endpoint) return url def add_mock_response(self, url, response): responses.add(responses.GET, url, body=json.dumps(response), status=200, content_type='application/json') def call_service(self, body): service = DiscoveryV2( authenticator=NoAuthAuthenticator(), version='2019-11-22', ) service.set_service_url(base_url) output = service.list_collections(**body) return output def construct_full_body(self): body = dict() body['project_id'] = "string1" return body def construct_required_body(self): body = dict() body['project_id'] = "string1" return body # endregion ############################################################################## # End of Service: Collections ############################################################################## ############################################################################## # Start of Service: Queries ############################################################################## # region #----------------------------------------------------------------------------- # Test Class for query #----------------------------------------------------------------------------- class TestQuery(): #-------------------------------------------------------- # Test 1: Send fake data and check response #-------------------------------------------------------- @responses.activate def test_query_response(self): body = self.construct_full_body() response = fake_response_QueryResponse_json send_request(self, body, response) assert len(responses.calls) == 1 #-------------------------------------------------------- # Test 2: Send only required fake data and check response #-------------------------------------------------------- @responses.activate def test_query_required_response(self): # Check response with required params body = self.construct_required_body() response = fake_response_QueryResponse_json send_request(self, body, response) assert len(responses.calls) == 1 #-------------------------------------------------------- # Test 3: Send empty data and check response #-------------------------------------------------------- @responses.activate def test_query_empty(self): check_empty_required_params(self, fake_response_QueryResponse_json) check_missing_required_params(self) assert len(responses.calls) == 0 #----------- #- Helpers - #----------- def make_url(self, body): endpoint = '/v2/projects/{0}/query'.format(body['project_id']) url = '{0}{1}'.format(base_url, endpoint) return url def add_mock_response(self, url, response): responses.add(responses.POST, url, body=json.dumps(response), status=200, content_type='application/json') def call_service(self, body): service = DiscoveryV2( authenticator=NoAuthAuthenticator(), version='2019-11-22', ) service.set_service_url(base_url) output = service.query(**body) return output def construct_full_body(self): body = dict() body['project_id'] = "string1" body.update({"collection_ids": [], "filter": "string1", "query": "string1", "natural_language_query": "string1", "aggregation": "string1", "count": 12345, "return_": [], "offset": 12345, "sort": "string1", "highlight": True, "spelling_suggestions": True, "table_results": QueryLargeTableResults._from_dict(json.loads("""{"enabled": false, "count": 5}""")), "suggested_refinements": QueryLargeSuggestedRefinements._from_dict(json.loads("""{"enabled": false, "count": 5}""")), "passages": QueryLargePassages._from_dict(json.loads("""{"enabled": false, "per_document": true, "max_per_document": 16, "fields": [], "count": 5, "characters": 10}""")), }) return body def construct_required_body(self): body = dict() body['project_id'] = "string1" return body #----------------------------------------------------------------------------- # Test Class for get_autocompletion #----------------------------------------------------------------------------- class TestGetAutocompletion(): #-------------------------------------------------------- # Test 1: Send fake data and check response #-------------------------------------------------------- @responses.activate def test_get_autocompletion_response(self): body = self.construct_full_body() response = fake_response_Completions_json send_request(self, body, response) assert len(responses.calls) == 1 #-------------------------------------------------------- # Test 2: Send only required fake data and check response #-------------------------------------------------------- @responses.activate def test_get_autocompletion_required_response(self): # Check response with required params body = self.construct_required_body() response = fake_response_Completions_json send_request(self, body, response) assert len(responses.calls) == 1 #-------------------------------------------------------- # Test 3: Send empty data and check response #-------------------------------------------------------- @responses.activate def test_get_autocompletion_empty(self): check_empty_required_params(self, fake_response_Completions_json) check_missing_required_params(self) assert len(responses.calls) == 0 #----------- #- Helpers - #----------- def make_url(self, body): endpoint = '/v2/projects/{0}/autocompletion'.format(body['project_id']) url = '{0}{1}'.format(base_url, endpoint) return url def add_mock_response(self, url, response): responses.add(responses.GET, url, body=json.dumps(response), status=200, content_type='application/json') def call_service(self, body): service = DiscoveryV2( authenticator=NoAuthAuthenticator(), version='2019-11-22', ) service.set_service_url(base_url) output = service.get_autocompletion(**body) return output def construct_full_body(self): body = dict() body['project_id'] = "string1" body['prefix'] = "string1" body['collection_ids'] = [] body['field'] = "string1" body['count'] = 12345 return body def construct_required_body(self): body = dict() body['project_id'] = "string1" body['prefix'] = "string1" return body #----------------------------------------------------------------------------- # Test Class for query_notices #----------------------------------------------------------------------------- class TestQueryNotices(): #-------------------------------------------------------- # Test 1: Send fake data and check response #-------------------------------------------------------- @responses.activate def test_query_notices_response(self): body = self.construct_full_body() response = fake_response_QueryNoticesResponse_json send_request(self, body, response) assert len(responses.calls) == 1 #-------------------------------------------------------- # Test 2: Send only required fake data and check response #-------------------------------------------------------- @responses.activate def test_query_notices_required_response(self): # Check response with required params body = self.construct_required_body() response = fake_response_QueryNoticesResponse_json send_request(self, body, response) assert len(responses.calls) == 1 #-------------------------------------------------------- # Test 3: Send empty data and check response #-------------------------------------------------------- @responses.activate def test_query_notices_empty(self): check_empty_required_params(self, fake_response_QueryNoticesResponse_json) check_missing_required_params(self) assert len(responses.calls) == 0 #----------- #- Helpers - #----------- def make_url(self, body): endpoint = '/v2/projects/{0}/notices'.format(body['project_id']) url = '{0}{1}'.format(base_url, endpoint) return url def add_mock_response(self, url, response): responses.add(responses.GET, url, body=json.dumps(response), status=200, content_type='application/json') def call_service(self, body): service = DiscoveryV2( authenticator=NoAuthAuthenticator(), version='2019-11-22', ) service.set_service_url(base_url) output = service.query_notices(**body) return output def construct_full_body(self): body = dict() body['project_id'] = "string1" body['filter'] = "string1" body['query'] = "string1" body['natural_language_query'] = "string1" body['count'] = 12345 body['offset'] = 12345 return body def construct_required_body(self): body = dict() body['project_id'] = "string1" return body #----------------------------------------------------------------------------- # Test Class for list_fields #----------------------------------------------------------------------------- class TestListFields(): #-------------------------------------------------------- # Test 1: Send fake data and check response #-------------------------------------------------------- @responses.activate def test_list_fields_response(self): body = self.construct_full_body() response = fake_response_ListFieldsResponse_json send_request(self, body, response) assert len(responses.calls) == 1 #-------------------------------------------------------- # Test 2: Send only required fake data and check response #-------------------------------------------------------- @responses.activate def test_list_fields_required_response(self): # Check response with required params body = self.construct_required_body() response = fake_response_ListFieldsResponse_json send_request(self, body, response) assert len(responses.calls) == 1 #-------------------------------------------------------- # Test 3: Send empty data and check response #-------------------------------------------------------- @responses.activate def test_list_fields_empty(self): check_empty_required_params(self, fake_response_ListFieldsResponse_json) check_missing_required_params(self) assert len(responses.calls) == 0 #----------- #- Helpers - #----------- def make_url(self, body): endpoint = '/v2/projects/{0}/fields'.format(body['project_id']) url = '{0}{1}'.format(base_url, endpoint) return url def add_mock_response(self, url, response): responses.add(responses.GET, url, body=json.dumps(response), status=200, content_type='application/json') def call_service(self, body): service = DiscoveryV2( authenticator=NoAuthAuthenticator(), version='2019-11-22', ) service.set_service_url(base_url) output = service.list_fields(**body) return output def construct_full_body(self): body = dict() body['project_id'] = "string1" body['collection_ids'] = [] return body def construct_required_body(self): body = dict() body['project_id'] = "string1" return body # endregion ############################################################################## # End of Service: Queries ############################################################################## ############################################################################## # Start of Service: ComponentSettings ############################################################################## # region #----------------------------------------------------------------------------- # Test Class for get_component_settings #----------------------------------------------------------------------------- class TestGetComponentSettings(): #-------------------------------------------------------- # Test 1: Send fake data and check response #-------------------------------------------------------- @responses.activate def test_get_component_settings_response(self): body = self.construct_full_body() response = fake_response_ComponentSettingsResponse_json send_request(self, body, response) assert len(responses.calls) == 1 #-------------------------------------------------------- # Test 2: Send only required fake data and check response #-------------------------------------------------------- @responses.activate def test_get_component_settings_required_response(self): # Check response with required params body = self.construct_required_body() response = fake_response_ComponentSettingsResponse_json send_request(self, body, response) assert len(responses.calls) == 1 #-------------------------------------------------------- # Test 3: Send empty data and check response #-------------------------------------------------------- @responses.activate def test_get_component_settings_empty(self): check_empty_required_params(self, fake_response_ComponentSettingsResponse_json) check_missing_required_params(self) assert len(responses.calls) == 0 #----------- #- Helpers - #----------- def make_url(self, body): endpoint = '/v2/projects/{0}/component_settings'.format(body['project_id']) url = '{0}{1}'.format(base_url, endpoint) return url def add_mock_response(self, url, response): responses.add(responses.GET, url, body=json.dumps(response), status=200, content_type='application/json') def call_service(self, body): service = DiscoveryV2( authenticator=NoAuthAuthenticator(), version='2019-11-22', ) service.set_service_url(base_url) output = service.get_component_settings(**body) return output def construct_full_body(self): body = dict() body['project_id'] = "string1" return body def construct_required_body(self): body = dict() body['project_id'] = "string1" return body # endregion ############################################################################## # End of Service: ComponentSettings ############################################################################## ############################################################################## # Start of Service: Documents ############################################################################## # region #----------------------------------------------------------------------------- # Test Class for add_document #----------------------------------------------------------------------------- class TestAddDocument(): #-------------------------------------------------------- # Test 1: Send fake data and check response #-------------------------------------------------------- @responses.activate def test_add_document_response(self): body = self.construct_full_body() response = fake_response_DocumentAccepted_json send_request(self, body, response) assert len(responses.calls) == 1 #-------------------------------------------------------- # Test 2: Send only required fake data and check response #-------------------------------------------------------- @responses.activate def test_add_document_required_response(self): # Check response with required params body = self.construct_required_body() response = fake_response_DocumentAccepted_json send_request(self, body, response) assert len(responses.calls) == 1 #-------------------------------------------------------- # Test 3: Send empty data and check response #-------------------------------------------------------- @responses.activate def test_add_document_empty(self): check_empty_required_params(self, fake_response_DocumentAccepted_json) check_missing_required_params(self) assert len(responses.calls) == 0 #----------- #- Helpers - #----------- def make_url(self, body): endpoint = '/v2/projects/{0}/collections/{1}/documents'.format(body['project_id'], body['collection_id']) url = '{0}{1}'.format(base_url, endpoint) return url def add_mock_response(self, url, response): responses.add(responses.POST, url, body=json.dumps(response), status=202, content_type='application/json') def call_service(self, body): service = DiscoveryV2( authenticator=NoAuthAuthenticator(), version='2019-11-22', ) service.set_service_url(base_url) output = service.add_document(**body) return output def construct_full_body(self): body = dict() body['project_id'] = "string1" body['collection_id'] = "string1" body['file'] = tempfile.NamedTemporaryFile() body['filename'] = "string1" body['file_content_type'] = "string1" body['metadata'] = "string1" body['x_watson_discovery_force'] = True return body def construct_required_body(self): body = dict() body['project_id'] = "string1" body['collection_id'] = "string1" return body #----------------------------------------------------------------------------- # Test Class for update_document #----------------------------------------------------------------------------- class TestUpdateDocument(): #-------------------------------------------------------- # Test 1: Send fake data and check response #-------------------------------------------------------- @responses.activate def test_update_document_response(self): body = self.construct_full_body() response = fake_response_DocumentAccepted_json send_request(self, body, response) assert len(responses.calls) == 1 #-------------------------------------------------------- # Test 2: Send only required fake data and check response #-------------------------------------------------------- @responses.activate def test_update_document_required_response(self): # Check response with required params body = self.construct_required_body() response = fake_response_DocumentAccepted_json send_request(self, body, response) assert len(responses.calls) == 1 #-------------------------------------------------------- # Test 3: Send empty data and check response #-------------------------------------------------------- @responses.activate def test_update_document_empty(self): check_empty_required_params(self, fake_response_DocumentAccepted_json) check_missing_required_params(self) assert len(responses.calls) == 0 #----------- #- Helpers - #----------- def make_url(self, body): endpoint = '/v2/projects/{0}/collections/{1}/documents/{2}'.format(body['project_id'], body['collection_id'], body['document_id']) url = '{0}{1}'.format(base_url, endpoint) return url def add_mock_response(self, url, response): responses.add(responses.POST, url, body=json.dumps(response), status=202, content_type='application/json') def call_service(self, body): service = DiscoveryV2( authenticator=NoAuthAuthenticator(), version='2019-11-22', ) service.set_service_url(base_url) output = service.update_document(**body) return output def construct_full_body(self): body = dict() body['project_id'] = "string1" body['collection_id'] = "string1" body['document_id'] = "string1" body['file'] = tempfile.NamedTemporaryFile() body['filename'] = "string1" body['file_content_type'] = "string1" body['metadata'] = "string1" body['x_watson_discovery_force'] = True return body def construct_required_body(self): body = dict() body['project_id'] = "string1" body['collection_id'] = "string1" body['document_id'] = "string1" return body #----------------------------------------------------------------------------- # Test Class for delete_document #----------------------------------------------------------------------------- class TestDeleteDocument(): #-------------------------------------------------------- # Test 1: Send fake data and check response #-------------------------------------------------------- @responses.activate def test_delete_document_response(self): body = self.construct_full_body() response = fake_response_DeleteDocumentResponse_json send_request(self, body, response) assert len(responses.calls) == 1 #-------------------------------------------------------- # Test 2: Send only required fake data and check response #-------------------------------------------------------- @responses.activate def test_delete_document_required_response(self): # Check response with required params body = self.construct_required_body() response = fake_response_DeleteDocumentResponse_json send_request(self, body, response) assert len(responses.calls) == 1 #-------------------------------------------------------- # Test 3: Send empty data and check response #-------------------------------------------------------- @responses.activate def test_delete_document_empty(self): check_empty_required_params(self, fake_response_DeleteDocumentResponse_json) check_missing_required_params(self) assert len(responses.calls) == 0 #----------- #- Helpers - #----------- def make_url(self, body): endpoint = '/v2/projects/{0}/collections/{1}/documents/{2}'.format(body['project_id'], body['collection_id'], body['document_id']) url = '{0}{1}'.format(base_url, endpoint) return url def add_mock_response(self, url, response): responses.add(responses.DELETE, url, body=json.dumps(response), status=200, content_type='application/json') def call_service(self, body): service = DiscoveryV2( authenticator=NoAuthAuthenticator(), version='2019-11-22', ) service.set_service_url(base_url) output = service.delete_document(**body) return output def construct_full_body(self): body = dict() body['project_id'] = "string1" body['collection_id'] = "string1" body['document_id'] = "string1" body['x_watson_discovery_force'] = True return body def construct_required_body(self): body = dict() body['project_id'] = "string1" body['collection_id'] = "string1" body['document_id'] = "string1" return body # endregion ############################################################################## # End of Service: Documents ############################################################################## ############################################################################## # Start of Service: TrainingData ############################################################################## # region #----------------------------------------------------------------------------- # Test Class for list_training_queries #----------------------------------------------------------------------------- class TestListTrainingQueries(): #-------------------------------------------------------- # Test 1: Send fake data and check response #-------------------------------------------------------- @responses.activate def test_list_training_queries_response(self): body = self.construct_full_body() response = fake_response_TrainingQuerySet_json send_request(self, body, response) assert len(responses.calls) == 1 #-------------------------------------------------------- # Test 2: Send only required fake data and check response #-------------------------------------------------------- @responses.activate def test_list_training_queries_required_response(self): # Check response with required params body = self.construct_required_body() response = fake_response_TrainingQuerySet_json send_request(self, body, response) assert len(responses.calls) == 1 #-------------------------------------------------------- # Test 3: Send empty data and check response #-------------------------------------------------------- @responses.activate def test_list_training_queries_empty(self): check_empty_required_params(self, fake_response_TrainingQuerySet_json) check_missing_required_params(self) assert len(responses.calls) == 0 #----------- #- Helpers - #----------- def make_url(self, body): endpoint = '/v2/projects/{0}/training_data/queries'.format(body['project_id']) url = '{0}{1}'.format(base_url, endpoint) return url def add_mock_response(self, url, response): responses.add(responses.GET, url, body=json.dumps(response), status=200, content_type='application/json') def call_service(self, body): service = DiscoveryV2( authenticator=NoAuthAuthenticator(), version='2019-11-22', ) service.set_service_url(base_url) output = service.list_training_queries(**body) return output def construct_full_body(self): body = dict() body['project_id'] = "string1" return body def construct_required_body(self): body = dict() body['project_id'] = "string1" return body #----------------------------------------------------------------------------- # Test Class for delete_training_queries #----------------------------------------------------------------------------- class TestDeleteTrainingQueries(): #-------------------------------------------------------- # Test 1: Send fake data and check response #-------------------------------------------------------- @responses.activate def test_delete_training_queries_response(self): body = self.construct_full_body() response = fake_response__json send_request(self, body, response) assert len(responses.calls) == 1 #-------------------------------------------------------- # Test 2: Send only required fake data and check response #-------------------------------------------------------- @responses.activate def test_delete_training_queries_required_response(self): # Check response with required params body = self.construct_required_body() response = fake_response__json send_request(self, body, response) assert len(responses.calls) == 1 #-------------------------------------------------------- # Test 3: Send empty data and check response #-------------------------------------------------------- @responses.activate def test_delete_training_queries_empty(self): check_empty_required_params(self, fake_response__json) check_missing_required_params(self) assert len(responses.calls) == 0 #----------- #- Helpers - #----------- def make_url(self, body): endpoint = '/v2/projects/{0}/training_data/queries'.format(body['project_id']) url = '{0}{1}'.format(base_url, endpoint) return url def add_mock_response(self, url, response): responses.add(responses.DELETE, url, body=json.dumps(response), status=204, content_type='') def call_service(self, body): service = DiscoveryV2( authenticator=NoAuthAuthenticator(), version='2019-11-22', ) service.set_service_url(base_url) output = service.delete_training_queries(**body) return output def construct_full_body(self): body = dict() body['project_id'] = "string1" return body def construct_required_body(self): body = dict() body['project_id'] = "string1" return body #----------------------------------------------------------------------------- # Test Class for create_training_query #----------------------------------------------------------------------------- class TestCreateTrainingQuery(): #-------------------------------------------------------- # Test 1: Send fake data and check response #-------------------------------------------------------- @responses.activate def test_create_training_query_response(self): body = self.construct_full_body() response = fake_response_TrainingQuery_json send_request(self, body, response) assert len(responses.calls) == 1 #-------------------------------------------------------- # Test 2: Send only required fake data and check response #-------------------------------------------------------- @responses.activate def test_create_training_query_required_response(self): # Check response with required params body = self.construct_required_body() response = fake_response_TrainingQuery_json send_request(self, body, response) assert len(responses.calls) == 1 #-------------------------------------------------------- # Test 3: Send empty data and check response #-------------------------------------------------------- @responses.activate def test_create_training_query_empty(self): check_empty_required_params(self, fake_response_TrainingQuery_json) check_missing_required_params(self) assert len(responses.calls) == 0 #----------- #- Helpers - #----------- def make_url(self, body): endpoint = '/v2/projects/{0}/training_data/queries'.format(body['project_id']) url = '{0}{1}'.format(base_url, endpoint) return url def add_mock_response(self, url, response): responses.add(responses.POST, url, body=json.dumps(response), status=201, content_type='application/json') def call_service(self, body): service = DiscoveryV2( authenticator=NoAuthAuthenticator(), version='2019-11-22', ) service.set_service_url(base_url) output = service.create_training_query(**body) return output def construct_full_body(self): body = dict() body['project_id'] = "string1" body.update({"natural_language_query": "string1", "examples": [], "filter": "string1", }) return body def construct_required_body(self): body = dict() body['project_id'] = "string1" body.update({"natural_language_query": "string1", "examples": [], "filter": "string1", }) return body #----------------------------------------------------------------------------- # Test Class for get_training_query #----------------------------------------------------------------------------- class TestGetTrainingQuery(): #-------------------------------------------------------- # Test 1: Send fake data and check response #-------------------------------------------------------- @responses.activate def test_get_training_query_response(self): body = self.construct_full_body() response = fake_response_TrainingQuery_json send_request(self, body, response) assert len(responses.calls) == 1 #-------------------------------------------------------- # Test 2: Send only required fake data and check response #-------------------------------------------------------- @responses.activate def test_get_training_query_required_response(self): # Check response with required params body = self.construct_required_body() response = fake_response_TrainingQuery_json send_request(self, body, response) assert len(responses.calls) == 1 #-------------------------------------------------------- # Test 3: Send empty data and check response #-------------------------------------------------------- @responses.activate def test_get_training_query_empty(self): check_empty_required_params(self, fake_response_TrainingQuery_json) check_missing_required_params(self) assert len(responses.calls) == 0 #----------- #- Helpers - #----------- def make_url(self, body): endpoint = '/v2/projects/{0}/training_data/queries/{1}'.format(body['project_id'], body['query_id']) url = '{0}{1}'.format(base_url, endpoint) return url def add_mock_response(self, url, response): responses.add(responses.GET, url, body=json.dumps(response), status=200, content_type='application/json') def call_service(self, body): service = DiscoveryV2( authenticator=NoAuthAuthenticator(), version='2019-11-22', ) service.set_service_url(base_url) output = service.get_training_query(**body) return output def construct_full_body(self): body = dict() body['project_id'] = "string1" body['query_id'] = "string1" return body def construct_required_body(self): body = dict() body['project_id'] = "string1" body['query_id'] = "string1" return body #----------------------------------------------------------------------------- # Test Class for update_training_query #----------------------------------------------------------------------------- class TestUpdateTrainingQuery(): #-------------------------------------------------------- # Test 1: Send fake data and check response #-------------------------------------------------------- @responses.activate def test_update_training_query_response(self): body = self.construct_full_body() response = fake_response_TrainingQuery_json send_request(self, body, response) assert len(responses.calls) == 1 #-------------------------------------------------------- # Test 2: Send only required fake data and check response #-------------------------------------------------------- @responses.activate def test_update_training_query_required_response(self): # Check response with required params body = self.construct_required_body() response = fake_response_TrainingQuery_json send_request(self, body, response) assert len(responses.calls) == 1 #-------------------------------------------------------- # Test 3: Send empty data and check response #-------------------------------------------------------- @responses.activate def test_update_training_query_empty(self): check_empty_required_params(self, fake_response_TrainingQuery_json) check_missing_required_params(self) assert len(responses.calls) == 0 #----------- #- Helpers - #----------- def make_url(self, body): endpoint = '/v2/projects/{0}/training_data/queries/{1}'.format(body['project_id'], body['query_id']) url = '{0}{1}'.format(base_url, endpoint) return url def add_mock_response(self, url, response): responses.add(responses.POST, url, body=json.dumps(response), status=201, content_type='application/json') def call_service(self, body): service = DiscoveryV2( authenticator=NoAuthAuthenticator(), version='2019-11-22', ) service.set_service_url(base_url) output = service.update_training_query(**body) return output def construct_full_body(self): body = dict() body['project_id'] = "string1" body['query_id'] = "string1" body.update({"natural_language_query": "string1", "examples": [], "filter": "string1", }) return body def construct_required_body(self): body = dict() body['project_id'] = "string1" body['query_id'] = "string1" body.update({"natural_language_query": "string1", "examples": [], "filter": "string1", }) return body # endregion ############################################################################## # End of Service: TrainingData ############################################################################## def check_empty_required_params(obj, response): """Test function to assert that the operation will throw an error when given empty required data Args: obj: The generated test function """ body = obj.construct_full_body() body = {k: None for k in body.keys()} error = False try: send_request(obj, body, response) except ValueError as e: error = True assert error def check_missing_required_params(obj): """Test function to assert that the operation will throw an error when missing required data Args: obj: The generated test function """ body = obj.construct_full_body() url = obj.make_url(body) error = False try: send_request(obj, {}, {}, url=url) except TypeError as e: error = True assert error def check_empty_response(obj): """Test function to assert that the operation will return an empty response when given an empty request Args: obj: The generated test function """ body = obj.construct_full_body() url = obj.make_url(body) send_request(obj, {}, {}, url=url) def send_request(obj, body, response, url=None): """Test function to create a request, send it, and assert its accuracy to the mock response Args: obj: The generated test function body: Dict filled with fake data for calling the service response_str: Mock response string """ if not url: url = obj.make_url(body) obj.add_mock_response(url, response) output = obj.call_service(body) assert responses.calls[0].request.url.startswith(url) assert output.get_result() == response #################### ## Mock Responses ## #################### fake_response__json = None fake_response_ListCollectionsResponse_json = """{"collections": []}""" fake_response_QueryResponse_json = """{"matching_results": 16, "results": [], "aggregations": [], "retrieval_details": {"document_retrieval_strategy": "fake_document_retrieval_strategy"}, "suggested_query": "fake_suggested_query", "suggested_refinements": [], "table_results": []}""" fake_response_Completions_json = """{"completions": []}""" fake_response_QueryNoticesResponse_json = """{"matching_results": 16, "notices": []}""" fake_response_ListFieldsResponse_json = """{"fields": []}""" fake_response_ComponentSettingsResponse_json = """{"fields_shown": {"body": {"use_passage": false, "field": "fake_field"}, "title": {"field": "fake_field"}}, "autocomplete": true, "structured_search": false, "results_per_page": 16, "aggregations": []}""" fake_response_DocumentAccepted_json = """{"document_id": "fake_document_id", "status": "fake_status"}""" fake_response_DocumentAccepted_json = """{"document_id": "fake_document_id", "status": "fake_status"}""" fake_response_DeleteDocumentResponse_json = """{"document_id": "fake_document_id", "status": "fake_status"}""" fake_response_TrainingQuerySet_json = """{"queries": []}""" fake_response_TrainingQuery_json = """{"query_id": "fake_query_id", "natural_language_query": "fake_natural_language_query", "filter": "fake_filter", "created": "2017-05-16T13:56:54.957Z", "updated": "2017-05-16T13:56:54.957Z", "examples": []}""" fake_response_TrainingQuery_json = """{"query_id": "fake_query_id", "natural_language_query": "fake_natural_language_query", "filter": "fake_filter", "created": "2017-05-16T13:56:54.957Z", "updated": "2017-05-16T13:56:54.957Z", "examples": []}""" fake_response_TrainingQuery_json = """{"query_id": "fake_query_id", "natural_language_query": "fake_natural_language_query", "filter": "fake_filter", "created": "2017-05-16T13:56:54.957Z", "updated": "2017-05-16T13:56:54.957Z", "examples": []}"""

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d5fba53d0b0f204ebb8efec9eacf324cc15e2ead

163

py

Python

sources/cloudflare.py

drosoCode/StatusExporter

8dd099399eb8ba12ab3c39f23764ff3b99ba205e

[ "MIT" ]

null

sources/cloudflare.py

drosoCode/StatusExporter

8dd099399eb8ba12ab3c39f23764ff3b99ba205e

[ "MIT" ]

null

sources/cloudflare.py

drosoCode/StatusExporter

8dd099399eb8ba12ab3c39f23764ff3b99ba205e

[ "MIT" ]

null

from sources.genericStatusPage import getMetrics as _getMetrics def getMetrics(): return _getMetrics("https://www.cloudflarestatus.com/api/v2/summary.json")

27.166667

78

0.797546

19

163

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0.09816

163

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null

0

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7

d5fe6d737a6f3479ca0ee19c5f09c3dabd439dcb

10,137

py

Python

unitorch/datasets/huggingface.py

fuliucansheng/UniTorch

47038321593ce4e7eabda555bd58c0cf89482146

[ "MIT" ]

2

2022-02-05T08:52:00.000Z

2022-03-27T07:01:34.000Z

unitorch/datasets/huggingface.py

Lixin-Qian/unitorch

47038321593ce4e7eabda555bd58c0cf89482146

[ "MIT" ]

null

unitorch/datasets/huggingface.py

Lixin-Qian/unitorch

47038321593ce4e7eabda555bd58c0cf89482146

[ "MIT" ]

1

2022-03-27T07:01:13.000Z

# Copyright (c) FULIUCANSHENG. # Licensed under the MIT License. import os import datasets from itertools import cycle from torch.utils import data from datasets import load_dataset from datasets import Dataset from typing import Any, Callable, Dict, Iterable, List, Optional, Tuple, Union class hf_datasets(data.Dataset): """ A dataclass of huggingface datasets library https://github.com/huggingface/datasets """ def __init__(self, dataset: Dataset): """A class based on huggingface datasets `dataset` is an instance of huggingface dataset """ self.__dataset__ = dataset @classmethod def from_csv( cls, data_dir: Optional[str] = None, data_files: Optional[Union[str, List[str]]] = None, names: Optional[List[str]] = None, sep: Optional[str] = "\t", split: Optional[str] = None, ): """ A classmethod of load csv/tsv/text files dataset Args: data_dir: defining the data_dir of the dataset configuration. data_files: path(s) to source data file(s). names: header names to data file(s). sep: seperator for text file(s). split: which split of the data to load. Returns: return a dataset. """ if data_files is None: return if isinstance(data_files, str) and not os.path.exists(data_files): return __dataset__ = load_dataset( "csv", data_dir=data_dir, data_files=data_files, delimiter=sep, column_names=names, quoting=3, ) if split not in __dataset__: __dataset__ = __dataset__.get("train") else: __dataset__ = __dataset__.get(split) return cls(dataset=__dataset__) @classmethod def from_json( cls, data_dir: Optional[str] = None, data_files: Optional[Union[str, List[str]]] = None, field: Optional[str] = None, split: Optional[str] = None, ): """ A classmethod of load json files dataset Args: data_dir: defining the data_dir of the dataset configuration. data_files: path(s) to source data file(s). field: specify the field to load in json file. split: which split of the data to load. Returns: return a dataset. """ if data_files is None: return if isinstance(data_files, str) and not os.path.exists(data_files): return __dataset__ = load_dataset( "json", data_dir=data_dir, data_files=data_files, field=field, ) if split not in __dataset__: __dataset__ = __dataset__.get("train") else: __dataset__ = __dataset__.get(split) return cls(dataset=__dataset__) @classmethod def from_parquet( cls, data_dir: Optional[str] = None, data_files: Optional[Union[str, List[str]]] = None, split: Optional[str] = None, ): """ A classmethod of load parquet files dataset Args: data_dir: defining the data_dir of the dataset configuration. data_files: path(s) to source data file(s). split: which split of the data to load. Returns: return a dataset. """ if data_files is None: return if isinstance(data_files, str) and not os.path.exists(data_files): return __dataset__ = load_dataset( "parquet", data_dir=data_dir, data_files=data_files, ) if split not in __dataset__: __dataset__ = __dataset__.get("train") else: __dataset__ = __dataset__.get(split) return cls(dataset=__dataset__) @classmethod def from_hub( cls, data_name, config_name=None, data_dir: Optional[str] = None, data_files: Optional[Union[str, List[str]]] = None, split: Optional[str] = None, ): """ A classmethod of load hf hub dataset Args: data_name: a dataset repository on the hf hub. config_name: defining the name of the dataset configuration. data_dir: defining the data_dir of the dataset configuration. data_files: path(s) to source data file(s). split: which split of the data to load. Returns: return a dataset. """ __dataset__ = load_dataset( data_name, name=config_name, data_dir=data_dir, data_files=data_files, ) if split in __dataset__: __dataset__ = __dataset__.get(split) return cls(dataset=__dataset__) @property def dataset(self): """ The property of actual hf dataset """ return self.__dataset__ def __getitem__(self, idx): return self.__dataset__[idx] def __len__(self): return len(self.__dataset__) class hf_iterable_datasets(data.IterableDataset): """ A dataclass of huggingface datasets library https://github.com/huggingface/datasets """ def __init__( self, dataset: Dataset, ): self.__dataset__ = dataset def set_epoch(self, epoch): self.__dataset__.set_epoch(epoch) @classmethod def from_csv( cls, data_dir: Optional[str] = None, data_files: Optional[Union[str, List[str]]] = None, names: Optional[List[str]] = None, sep: Optional[str] = "\t", split: Optional[str] = None, ): """ A classmethod of load csv/tsv/text files dataset Args: data_dir: defining the data_dir of the dataset configuration. data_files: path(s) to source data file(s). names: header names to data file(s). sep: seperator for text file(s). split: which split of the data to load. Returns: return a streaming dataset. """ if data_files is None: return if isinstance(data_files, str) and not os.path.exists(data_files): return __dataset__ = load_dataset( "csv", data_dir=data_dir, data_files=data_files, delimiter=sep, column_names=names, quoting=3, streaming=True, ) if split not in __dataset__: __dataset__ = __dataset__.get("train") else: __dataset__ = __dataset__.get(split) return cls(dataset=__dataset__) @classmethod def from_json( cls, data_dir: Optional[str] = None, data_files: Optional[Union[str, List[str]]] = None, field: Optional[str] = None, split: Optional[str] = None, ): """ A classmethod of load json files dataset Args: data_dir: defining the data_dir of the dataset configuration. data_files: path(s) to source data file(s). field: specify the field to load in json file. split: which split of the data to load. Returns: return a streaming dataset. """ if data_files is None: return if isinstance(data_files, str) and not os.path.exists(data_files): return __dataset__ = load_dataset( "json", data_dir=data_dir, data_files=data_files, field=field, streaming=True, ) if split not in __dataset__: __dataset__ = __dataset__.get("train") else: __dataset__ = __dataset__.get(split) return cls(dataset=__dataset__) @classmethod def from_parquet( cls, data_dir: Optional[str] = None, data_files: Optional[Union[str, List[str]]] = None, split: Optional[str] = None, ): """ A classmethod of load parquet files dataset Args: data_dir: defining the data_dir of the dataset configuration. data_files: path(s) to source data file(s). split: which split of the data to load. Returns: return a streaming dataset. """ if data_files is None: return if isinstance(data_files, str) and not os.path.exists(data_files): return __dataset__ = load_dataset( "parquet", data_dir=data_dir, data_files=data_files, streaming=True, ) if split not in __dataset__: __dataset__ = __dataset__.get("train") else: __dataset__ = __dataset__.get(split) return cls(dataset=__dataset__) @classmethod def from_hub( cls, data_name, config_name: Optional[str] = None, data_dir: Optional[str] = None, data_files: Optional[Union[str, List[str]]] = None, split: Optional[str] = None, ): """ A classmethod of load hf hub dataset Args: data_name: a dataset repository on the hf hub. config_name: defining the name of the dataset configuration. data_dir: defining the data_dir of the dataset configuration. data_files: path(s) to source data file(s). split: which split of the data to load. Returns: return a streaming dataset """ __dataset__ = load_dataset( data_name, name=config_name, data_dir=data_dir, data_files=data_files, streaming=True, ) if split in __dataset__: __dataset__ = __dataset__.get(split) return cls(dataset=__dataset__) @property def dataset(self): """ The property of actual hf dataset """ return self.__dataset__ def __iter__(self): for row_data in cycle(self.dataset): yield row_data

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0

null

0

1

0

1

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null

0

7

9102167ee42ae758ad7af69f12cf0fedd98e286f

1,917

py

Python

cdad/cdadmap/migrations/0035_auto_20150921_1706.py

NiJeLorg/CDADMap

1f03dccf57951748155a0094a5aec3253183c412

[ "MIT" ]

null

cdad/cdadmap/migrations/0035_auto_20150921_1706.py

NiJeLorg/CDADMap

1f03dccf57951748155a0094a5aec3253183c412

[ "MIT" ]

null

cdad/cdadmap/migrations/0035_auto_20150921_1706.py

NiJeLorg/CDADMap

1f03dccf57951748155a0094a5aec3253183c412

[ "MIT" ]

null

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ('cdadmap', '0034_auto_20150818_1600'), ] operations = [ migrations.AlterField( model_name='contact', name='id', field=models.AutoField(serialize=False, primary_key=True), preserve_default=True, ), migrations.AlterField( model_name='contactpanel', name='id', field=models.AutoField(serialize=False, primary_key=True), preserve_default=True, ), migrations.AlterField( model_name='location', name='id', field=models.AutoField(serialize=False, primary_key=True), preserve_default=True, ), migrations.AlterField( model_name='locationpanel', name='idlocation', field=models.AutoField(serialize=False, primary_key=True), preserve_default=True, ), migrations.AlterField( model_name='meeting', name='id', field=models.AutoField(serialize=False, primary_key=True), preserve_default=True, ), migrations.AlterField( model_name='meetingpanel', name='id', field=models.AutoField(serialize=False, primary_key=True), preserve_default=True, ), migrations.AlterField( model_name='survey', name='id', field=models.AutoField(serialize=False, primary_key=True), preserve_default=True, ), migrations.AlterField( model_name='surveypanel', name='id', field=models.AutoField(serialize=False, primary_key=True), preserve_default=True, ), ]

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null

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913b26f084763eed5e458406fe835dc766926cf2

10,206

py

Python

tests/test_graphics.py

andrewlavaia/Traffic-Simulator

39c21e94ff3026954f1577a8f9e70c6d605cb286

[ "MIT" ]

null

tests/test_graphics.py

andrewlavaia/Traffic-Simulator

39c21e94ff3026954f1577a8f9e70c6d605cb286

[ "MIT" ]

null

tests/test_graphics.py

andrewlavaia/Traffic-Simulator

39c21e94ff3026954f1577a8f9e70c6d605cb286

[ "MIT" ]

null

import unittest import graphics class TestConvertPointToViewFraction(unittest.TestCase): def setUp(self): self.window = graphics.GraphWin('Test', 1000, 1000) def test_x0_y0(self): x = 0 y = 0 actual = tuple(self.window.convertPointToViewFraction(x, y)) expected = (0.5, 0.5) self.assertEqual(actual, expected) def test_min_scrollregion(self): x = -self.window.scrollregion_x/2 y = -self.window.scrollregion_y/2 actual = tuple(self.window.convertPointToViewFraction(x, y)) expected = (0, 0) self.assertEqual(actual, expected) def test_max_scrollregion(self): x = self.window.scrollregion_x/2 y = self.window.scrollregion_y/2 actual = tuple(self.window.convertPointToViewFraction(x, y)) expected = (1.0, 1.0) self.assertEqual(actual, expected) class TestGetCoords(unittest.TestCase): def setUp(self): self.window = graphics.GraphWin('Test', 1024, 768) self.window.xview_moveto(0.5) self.window.yview_moveto(0.5) self.window.zoom_factor = 1.0 def test_coords_with_default_view(self): actual = tuple(self.window.getCoords()) expected = (0, 768, 1024, 0) self.assertEqual(actual, expected) def test_coords_with_default_view_after_2x_zoom(self): self.window.zoom_factor = 2.0 actual = tuple(self.window.getCoords()) x_adj = (self.window.width/2)/self.window.zoom_factor y_adj = (self.window.height/2)/self.window.zoom_factor expected = (x_adj, 768 - y_adj, 1024 - x_adj, y_adj) self.assertEqual(actual, expected) def test_coords_with_max_view(self): self.window.xview_moveto(1.0) self.window.yview_moveto(1.0) actual = tuple(self.window.getCoords()) x_adj = (self.window.width/2)/self.window.zoom_factor y_adj = (self.window.height/2)/self.window.zoom_factor expected = (0, 768, 1024, 0) self.assertEqual(actual, expected) def test_coords_with_max_view_after_2x_zoom(self): self.window.xview_moveto(0.0) self.window.yview_moveto(0.0) self.window.zoom_factor = 2.0 actual = tuple(self.window.getCoords()) x_adj = (self.window.width/2)/self.window.zoom_factor y_adj = (self.window.height/2)/self.window.zoom_factor expected = (x_adj, 768 - y_adj, 1024 - x_adj, y_adj) self.assertEqual(actual, expected) def test_coords_with_min_view(self): self.window.xview_moveto(0.0) self.window.yview_moveto(0.0) actual = tuple(self.window.getCoords()) x_adj = (self.window.width/2)/self.window.zoom_factor y_adj = (self.window.height/2)/self.window.zoom_factor expected = (0, 768, 1024, 0) self.assertEqual(actual, expected) def test_coords_with_min_view_after_2x_zoom(self): self.window.xview_moveto(1.0) self.window.yview_moveto(1.0) self.window.zoom_factor = 2.0 actual = tuple(self.window.getCoords()) x_adj = (self.window.width/2)/self.window.zoom_factor y_adj = (self.window.height/2)/self.window.zoom_factor expected = (x_adj, 768 - y_adj, 1024 - x_adj, y_adj) self.assertEqual(actual, expected) class TestSetCoords(unittest.TestCase): def setUp(self): self.window = graphics.GraphWin('Test', 1024, 768) self.window.xview_moveto(0.5) self.window.yview_moveto(0.5) self.window.zoom_factor = 1.0 def test_no_change_to_view_fraction_after_zoom(self): self.window.zoom_factor = 2.0 self.window.setCoords(*self.window.getCoords()) actual = tuple(self.window.getViewPoint()) expected = (0, 0) self.assertEqual(actual, expected) class TestToScreen(unittest.TestCase): def setUp(self): self.window = graphics.GraphWin('Test', 1024, 768) self.window.xview_moveto(0.5) self.window.yview_moveto(0.5) self.window.zoom_factor = 1.0 def test_00_toscreen_with_default_view_and_default_zoom(self): actual = self.window.toScreen(0, 0) expected = (0, 0) self.assertEqual(actual, expected) # TODO find out why this test doesn't work # def test_00_to_screen_with_default_view_and_2x_zoom(self): # self.window.zoom_factor = 2.0 # self.window.setCoords(*self.window.getCoords()) # print(self.window.getCoords()) # actual = self.window.toScreen(0, 0) # expected = (-255, -190) # almost equal -256, -192 # self.assertEqual(actual, expected) # actual = self.window.toScreen(512, 384) # expected = (0, 0) # self.assertEqual(actual, expected) # print(self.window.xview()) # print(self.window.yview()) # print(self.window.getCoords()) # print(self.window.toScreen(0, 0)) # print(self.window.toScreen(256, 192)) # self.window.centerScreenOnPoint(graphics.Point(1024, 768)) # print(self.window.toScreen(256, 192)) # print(self.window.toScreen(1024, 768)) class TestToWorld(unittest.TestCase): def setUp(self): self.window = graphics.GraphWin('Test', 1024, 768) self.window.xview_moveto(0.5) self.window.yview_moveto(0.5) self.window.zoom_factor = 1.0 def test_00_toworld_with_default_view_and_default_zoom(self): actual = self.window.toWorld(0, 0) expected = (0, 0) self.assertEqual(actual, expected) def test_no_change_from_screen_to_world_and_back(self): wx, wy = self.window.toWorld(400, 400) sx, sy = self.window.toScreen(wx, wy) new_wx, new_wy = self.window.toWorld(sx, sy) actual = (int(new_wx), int(new_wy)) expected = (400, 400) self.assertEqual(actual, expected) class TestZoomAdj(unittest.TestCase): def setUp(self): self.window = graphics.GraphWin('Test', 1024, 768) self.window.xview_moveto(0.5) self.window.yview_moveto(0.5) self.window.zoom_factor = 1.0 def test_zoom_adj_no_zoom(self): actual = tuple(self.window.getZoomAdj()) expected = (0, 0) self.assertEqual(actual, expected) def test_zoom_adj_2x_zoom(self): self.window.zoom_factor = 2.0 actual = tuple(self.window.getZoomAdj()) expected = (256, 192) self.assertEqual(actual, expected) def test_zoom_adj_half_zoom(self): self.window.zoom_factor = 0.5 actual = tuple(self.window.getZoomAdj()) expected = (-512, -384) self.assertEqual(actual, expected) def test_zoom_adj_same_before_and_after_zoom(self): self.window.zoom_factor += 0.1 actual = tuple(self.window.getZoomAdj()) expected = (46.54545, 34.90909) self.assertAlmostEqual(expected[0], actual[0], places=5) self.assertAlmostEqual(expected[1], actual[1], places=5) self.window.zoom_factor -= 0.1 actual = tuple(self.window.getZoomAdj()) expected = (0, 0) self.assertAlmostEqual(expected[0], actual[0], places=5) self.assertAlmostEqual(expected[1], actual[1], places=5) class TestcenterScreenOnPoint(unittest.TestCase): def setUp(self): self.window = graphics.GraphWin('Test', 1024, 768) self.window.xview_moveto(0.5) self.window.yview_moveto(0.5) self.window.last_xview = self.window.xview() self.window.last_yview = self.window.yview() self.window.zoom_factor = 1.0 def test_center_view_on_center_point(self): self.window.centerScreenOnPoint(512, 384) self.window.last_xview = self.window.xview() self.window.last_yview = self.window.yview() actual = tuple(self.window.getViewPoint()) expected = (0, 0) self.assertEqual(actual, expected) # confirm view fraction hasn't changed xview = self.window.xview() yview = self.window.yview() actual = (xview[0], yview[0]) expected = (0.5, 0.5) self.assertEqual(actual, expected) def test_center_view_on_00(self): self.window.centerScreenOnPoint(0, 0) self.window.last_xview = self.window.xview() self.window.last_yview = self.window.yview() actual = tuple(self.window.getViewPoint()) expected = (-512, -384) self.assertEqual(actual, expected) def test_center_view_on_00_after_2x_zoom(self): self.window.zoom_factor = 2.0 self.window.centerScreenOnPoint(0, 0) self.window.last_xview = self.window.xview() self.window.last_yview = self.window.yview() actual = tuple(self.window.getCenterViewPoint()) expected = (0, 0) self.assertEqual(actual, expected) def test_center_view_on_00_before_2x_zoom(self): self.window.centerScreenOnPoint(0, 0) self.window.zoom_factor = 2.0 self.window.last_xview = self.window.xview() self.window.last_yview = self.window.yview() actual = tuple(self.window.getCenterViewPoint()) expected = (0, 0) self.assertEqual(actual, expected) def test_center_view_on_offset_before_2x_zoom(self): self.window.centerScreenOnPoint(1024, 768) self.window.last_xview = self.window.xview() self.window.last_yview = self.window.yview() actual = tuple(self.window.getCenterViewPoint()) expected = (1024, 768) self.assertEqual(actual, expected) self.window.zoom_factor = 2.0 actual = tuple(self.window.getViewPoint()) expected = (512, 384) self.assertEqual(actual, expected) def test_center_view_on_offset_after_2x_zoom(self): self.window.zoom_factor = 2.0 self.window.centerScreenOnPoint(1024, 768) self.window.last_xview = self.window.xview() self.window.last_yview = self.window.yview() actual = tuple(self.window.getCenterViewPoint()) expected = (1024, 768) self.assertEqual(actual, expected) actual = tuple(self.window.getViewPoint()) expected = (512, 384) self.assertEqual(actual, expected)

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68

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0.063477

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0.876485

0.855847

0.814415

0.7894

0.766573

0.715447

0

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10,206

272

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37.522059

0.761802

0.080345

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0.138756

1

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false

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0.186603

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1

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1

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null

0

8

9141c9e2960d8366841b7cf8a6162aed8112cded

25,379

py

Python

sdk/python/pulumi_aws/cloudwatch/event_connection.py

alexbowers/pulumi-aws

7dbdb03b1e4f7c0d51d5b5d17233ff4465c3eff5

[ "ECL-2.0", "Apache-2.0" ]

null

sdk/python/pulumi_aws/cloudwatch/event_connection.py

alexbowers/pulumi-aws

7dbdb03b1e4f7c0d51d5b5d17233ff4465c3eff5

[ "ECL-2.0", "Apache-2.0" ]

null

sdk/python/pulumi_aws/cloudwatch/event_connection.py

alexbowers/pulumi-aws

7dbdb03b1e4f7c0d51d5b5d17233ff4465c3eff5

[ "ECL-2.0", "Apache-2.0" ]

null

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities from . import outputs from ._inputs import * __all__ = ['EventConnectionArgs', 'EventConnection'] @pulumi.input_type class EventConnectionArgs: def __init__(__self__, *, auth_parameters: pulumi.Input['EventConnectionAuthParametersArgs'], authorization_type: pulumi.Input[str], description: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None): """ The set of arguments for constructing a EventConnection resource. :param pulumi.Input['EventConnectionAuthParametersArgs'] auth_parameters: Parameters used for authorization. A maximum of 1 are allowed. Documented below. :param pulumi.Input[str] authorization_type: Choose the type of authorization to use for the connection. One of `API_KEY`,`BASIC`,`OAUTH_CLIENT_CREDENTIALS`. :param pulumi.Input[str] description: Enter a description for the connection. Maximum of 512 characters. :param pulumi.Input[str] name: The name of the new connection. Maximum of 64 characters consisting of numbers, lower/upper case letters, .,-,_. """ pulumi.set(__self__, "auth_parameters", auth_parameters) pulumi.set(__self__, "authorization_type", authorization_type) if description is not None: pulumi.set(__self__, "description", description) if name is not None: pulumi.set(__self__, "name", name) @property @pulumi.getter(name="authParameters") def auth_parameters(self) -> pulumi.Input['EventConnectionAuthParametersArgs']: """ Parameters used for authorization. A maximum of 1 are allowed. Documented below. """ return pulumi.get(self, "auth_parameters") @auth_parameters.setter def auth_parameters(self, value: pulumi.Input['EventConnectionAuthParametersArgs']): pulumi.set(self, "auth_parameters", value) @property @pulumi.getter(name="authorizationType") def authorization_type(self) -> pulumi.Input[str]: """ Choose the type of authorization to use for the connection. One of `API_KEY`,`BASIC`,`OAUTH_CLIENT_CREDENTIALS`. """ return pulumi.get(self, "authorization_type") @authorization_type.setter def authorization_type(self, value: pulumi.Input[str]): pulumi.set(self, "authorization_type", value) @property @pulumi.getter def description(self) -> Optional[pulumi.Input[str]]: """ Enter a description for the connection. Maximum of 512 characters. """ return pulumi.get(self, "description") @description.setter def description(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "description", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The name of the new connection. Maximum of 64 characters consisting of numbers, lower/upper case letters, .,-,_. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @pulumi.input_type class _EventConnectionState: def __init__(__self__, *, arn: Optional[pulumi.Input[str]] = None, auth_parameters: Optional[pulumi.Input['EventConnectionAuthParametersArgs']] = None, authorization_type: Optional[pulumi.Input[str]] = None, description: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, secret_arn: Optional[pulumi.Input[str]] = None): """ Input properties used for looking up and filtering EventConnection resources. :param pulumi.Input[str] arn: The Amazon Resource Name (ARN) of the connection. :param pulumi.Input['EventConnectionAuthParametersArgs'] auth_parameters: Parameters used for authorization. A maximum of 1 are allowed. Documented below. :param pulumi.Input[str] authorization_type: Choose the type of authorization to use for the connection. One of `API_KEY`,`BASIC`,`OAUTH_CLIENT_CREDENTIALS`. :param pulumi.Input[str] description: Enter a description for the connection. Maximum of 512 characters. :param pulumi.Input[str] name: The name of the new connection. Maximum of 64 characters consisting of numbers, lower/upper case letters, .,-,_. :param pulumi.Input[str] secret_arn: The Amazon Resource Name (ARN) of the secret created from the authorization parameters specified for the connection. """ if arn is not None: pulumi.set(__self__, "arn", arn) if auth_parameters is not None: pulumi.set(__self__, "auth_parameters", auth_parameters) if authorization_type is not None: pulumi.set(__self__, "authorization_type", authorization_type) if description is not None: pulumi.set(__self__, "description", description) if name is not None: pulumi.set(__self__, "name", name) if secret_arn is not None: pulumi.set(__self__, "secret_arn", secret_arn) @property @pulumi.getter def arn(self) -> Optional[pulumi.Input[str]]: """ The Amazon Resource Name (ARN) of the connection. """ return pulumi.get(self, "arn") @arn.setter def arn(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "arn", value) @property @pulumi.getter(name="authParameters") def auth_parameters(self) -> Optional[pulumi.Input['EventConnectionAuthParametersArgs']]: """ Parameters used for authorization. A maximum of 1 are allowed. Documented below. """ return pulumi.get(self, "auth_parameters") @auth_parameters.setter def auth_parameters(self, value: Optional[pulumi.Input['EventConnectionAuthParametersArgs']]): pulumi.set(self, "auth_parameters", value) @property @pulumi.getter(name="authorizationType") def authorization_type(self) -> Optional[pulumi.Input[str]]: """ Choose the type of authorization to use for the connection. One of `API_KEY`,`BASIC`,`OAUTH_CLIENT_CREDENTIALS`. """ return pulumi.get(self, "authorization_type") @authorization_type.setter def authorization_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "authorization_type", value) @property @pulumi.getter def description(self) -> Optional[pulumi.Input[str]]: """ Enter a description for the connection. Maximum of 512 characters. """ return pulumi.get(self, "description") @description.setter def description(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "description", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The name of the new connection. Maximum of 64 characters consisting of numbers, lower/upper case letters, .,-,_. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="secretArn") def secret_arn(self) -> Optional[pulumi.Input[str]]: """ The Amazon Resource Name (ARN) of the secret created from the authorization parameters specified for the connection. """ return pulumi.get(self, "secret_arn") @secret_arn.setter def secret_arn(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "secret_arn", value) class EventConnection(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, auth_parameters: Optional[pulumi.Input[pulumi.InputType['EventConnectionAuthParametersArgs']]] = None, authorization_type: Optional[pulumi.Input[str]] = None, description: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, __props__=None): """ Provides an EventBridge connection resource. > **Note:** EventBridge was formerly known as CloudWatch Events. The functionality is identical. ## Example Usage ```python import pulumi import pulumi_aws as aws test = aws.cloudwatch.EventConnection("test", auth_parameters=aws.cloudwatch.EventConnectionAuthParametersArgs( api_key={ "key": "x-signature", "value": "1234", }, ), authorization_type="API_KEY", description="A connection description") ``` ### Basic Authorization ```python import pulumi import pulumi_aws as aws test = aws.cloudwatch.EventConnection("test", auth_parameters=aws.cloudwatch.EventConnectionAuthParametersArgs( basic=aws.cloudwatch.EventConnectionAuthParametersBasicArgs( password="Pass1234!", username="user", ), ), authorization_type="BASIC", description="A connection description") ``` ### OAuth Authorization ```python import pulumi import pulumi_aws as aws test = aws.cloudwatch.EventConnection("test", auth_parameters=aws.cloudwatch.EventConnectionAuthParametersArgs( oauth=aws.cloudwatch.EventConnectionAuthParametersOauthArgs( authorization_endpoint="https://auth.url.com/endpoint", client_parameters=aws.cloudwatch.EventConnectionAuthParametersOauthClientParametersArgs( client_id="1234567890", client_secret="Pass1234!", ), http_method="GET", oauth_http_parameters=aws.cloudwatch.EventConnectionAuthParametersOauthOauthHttpParametersArgs( body=[{ "isValueSecret": False, "key": "body-parameter-key", "value": "body-parameter-value", }], header=[{ "isValueSecret": False, "key": "header-parameter-key", "value": "header-parameter-value", }], query_string=[{ "isValueSecret": False, "key": "query-string-parameter-key", "value": "query-string-parameter-value", }], ), ), ), authorization_type="BASIC", description="A connection description") ``` ### Invocation Http Parameters ```python import pulumi import pulumi_aws as aws test = aws.cloudwatch.EventConnection("test", auth_parameters=aws.cloudwatch.EventConnectionAuthParametersArgs( basic=aws.cloudwatch.EventConnectionAuthParametersBasicArgs( password="Pass1234!", username="user", ), invocation_http_parameters=aws.cloudwatch.EventConnectionAuthParametersInvocationHttpParametersArgs( body=[ { "isValueSecret": False, "key": "body-parameter-key", "value": "body-parameter-value", }, { "isValueSecret": True, "key": "body-parameter-key2", "value": "body-parameter-value2", }, ], header=[{ "isValueSecret": False, "key": "header-parameter-key", "value": "header-parameter-value", }], query_string=[{ "isValueSecret": False, "key": "query-string-parameter-key", "value": "query-string-parameter-value", }], ), ), authorization_type="BASIC", description="A connection description") ``` ## Import EventBridge Connection can be imported using the `name`, e.g. console ```sh $ pulumi import aws:cloudwatch/eventConnection:EventConnection test ngrok-connection ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[pulumi.InputType['EventConnectionAuthParametersArgs']] auth_parameters: Parameters used for authorization. A maximum of 1 are allowed. Documented below. :param pulumi.Input[str] authorization_type: Choose the type of authorization to use for the connection. One of `API_KEY`,`BASIC`,`OAUTH_CLIENT_CREDENTIALS`. :param pulumi.Input[str] description: Enter a description for the connection. Maximum of 512 characters. :param pulumi.Input[str] name: The name of the new connection. Maximum of 64 characters consisting of numbers, lower/upper case letters, .,-,_. """ ... @overload def __init__(__self__, resource_name: str, args: EventConnectionArgs, opts: Optional[pulumi.ResourceOptions] = None): """ Provides an EventBridge connection resource. > **Note:** EventBridge was formerly known as CloudWatch Events. The functionality is identical. ## Example Usage ```python import pulumi import pulumi_aws as aws test = aws.cloudwatch.EventConnection("test", auth_parameters=aws.cloudwatch.EventConnectionAuthParametersArgs( api_key={ "key": "x-signature", "value": "1234", }, ), authorization_type="API_KEY", description="A connection description") ``` ### Basic Authorization ```python import pulumi import pulumi_aws as aws test = aws.cloudwatch.EventConnection("test", auth_parameters=aws.cloudwatch.EventConnectionAuthParametersArgs( basic=aws.cloudwatch.EventConnectionAuthParametersBasicArgs( password="Pass1234!", username="user", ), ), authorization_type="BASIC", description="A connection description") ``` ### OAuth Authorization ```python import pulumi import pulumi_aws as aws test = aws.cloudwatch.EventConnection("test", auth_parameters=aws.cloudwatch.EventConnectionAuthParametersArgs( oauth=aws.cloudwatch.EventConnectionAuthParametersOauthArgs( authorization_endpoint="https://auth.url.com/endpoint", client_parameters=aws.cloudwatch.EventConnectionAuthParametersOauthClientParametersArgs( client_id="1234567890", client_secret="Pass1234!", ), http_method="GET", oauth_http_parameters=aws.cloudwatch.EventConnectionAuthParametersOauthOauthHttpParametersArgs( body=[{ "isValueSecret": False, "key": "body-parameter-key", "value": "body-parameter-value", }], header=[{ "isValueSecret": False, "key": "header-parameter-key", "value": "header-parameter-value", }], query_string=[{ "isValueSecret": False, "key": "query-string-parameter-key", "value": "query-string-parameter-value", }], ), ), ), authorization_type="BASIC", description="A connection description") ``` ### Invocation Http Parameters ```python import pulumi import pulumi_aws as aws test = aws.cloudwatch.EventConnection("test", auth_parameters=aws.cloudwatch.EventConnectionAuthParametersArgs( basic=aws.cloudwatch.EventConnectionAuthParametersBasicArgs( password="Pass1234!", username="user", ), invocation_http_parameters=aws.cloudwatch.EventConnectionAuthParametersInvocationHttpParametersArgs( body=[ { "isValueSecret": False, "key": "body-parameter-key", "value": "body-parameter-value", }, { "isValueSecret": True, "key": "body-parameter-key2", "value": "body-parameter-value2", }, ], header=[{ "isValueSecret": False, "key": "header-parameter-key", "value": "header-parameter-value", }], query_string=[{ "isValueSecret": False, "key": "query-string-parameter-key", "value": "query-string-parameter-value", }], ), ), authorization_type="BASIC", description="A connection description") ``` ## Import EventBridge Connection can be imported using the `name`, e.g. console ```sh $ pulumi import aws:cloudwatch/eventConnection:EventConnection test ngrok-connection ``` :param str resource_name: The name of the resource. :param EventConnectionArgs args: The arguments to use to populate this resource's properties. :param pulumi.ResourceOptions opts: Options for the resource. """ ... def __init__(__self__, resource_name: str, *args, **kwargs): resource_args, opts = _utilities.get_resource_args_opts(EventConnectionArgs, pulumi.ResourceOptions, *args, **kwargs) if resource_args is not None: __self__._internal_init(resource_name, opts, **resource_args.__dict__) else: __self__._internal_init(resource_name, *args, **kwargs) def _internal_init(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, auth_parameters: Optional[pulumi.Input[pulumi.InputType['EventConnectionAuthParametersArgs']]] = None, authorization_type: Optional[pulumi.Input[str]] = None, description: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = EventConnectionArgs.__new__(EventConnectionArgs) if auth_parameters is None and not opts.urn: raise TypeError("Missing required property 'auth_parameters'") __props__.__dict__["auth_parameters"] = auth_parameters if authorization_type is None and not opts.urn: raise TypeError("Missing required property 'authorization_type'") __props__.__dict__["authorization_type"] = authorization_type __props__.__dict__["description"] = description __props__.__dict__["name"] = name __props__.__dict__["arn"] = None __props__.__dict__["secret_arn"] = None super(EventConnection, __self__).__init__( 'aws:cloudwatch/eventConnection:EventConnection', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, arn: Optional[pulumi.Input[str]] = None, auth_parameters: Optional[pulumi.Input[pulumi.InputType['EventConnectionAuthParametersArgs']]] = None, authorization_type: Optional[pulumi.Input[str]] = None, description: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, secret_arn: Optional[pulumi.Input[str]] = None) -> 'EventConnection': """ Get an existing EventConnection resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] arn: The Amazon Resource Name (ARN) of the connection. :param pulumi.Input[pulumi.InputType['EventConnectionAuthParametersArgs']] auth_parameters: Parameters used for authorization. A maximum of 1 are allowed. Documented below. :param pulumi.Input[str] authorization_type: Choose the type of authorization to use for the connection. One of `API_KEY`,`BASIC`,`OAUTH_CLIENT_CREDENTIALS`. :param pulumi.Input[str] description: Enter a description for the connection. Maximum of 512 characters. :param pulumi.Input[str] name: The name of the new connection. Maximum of 64 characters consisting of numbers, lower/upper case letters, .,-,_. :param pulumi.Input[str] secret_arn: The Amazon Resource Name (ARN) of the secret created from the authorization parameters specified for the connection. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _EventConnectionState.__new__(_EventConnectionState) __props__.__dict__["arn"] = arn __props__.__dict__["auth_parameters"] = auth_parameters __props__.__dict__["authorization_type"] = authorization_type __props__.__dict__["description"] = description __props__.__dict__["name"] = name __props__.__dict__["secret_arn"] = secret_arn return EventConnection(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter def arn(self) -> pulumi.Output[str]: """ The Amazon Resource Name (ARN) of the connection. """ return pulumi.get(self, "arn") @property @pulumi.getter(name="authParameters") def auth_parameters(self) -> pulumi.Output['outputs.EventConnectionAuthParameters']: """ Parameters used for authorization. A maximum of 1 are allowed. Documented below. """ return pulumi.get(self, "auth_parameters") @property @pulumi.getter(name="authorizationType") def authorization_type(self) -> pulumi.Output[str]: """ Choose the type of authorization to use for the connection. One of `API_KEY`,`BASIC`,`OAUTH_CLIENT_CREDENTIALS`. """ return pulumi.get(self, "authorization_type") @property @pulumi.getter def description(self) -> pulumi.Output[Optional[str]]: """ Enter a description for the connection. Maximum of 512 characters. """ return pulumi.get(self, "description") @property @pulumi.getter def name(self) -> pulumi.Output[str]: """ The name of the new connection. Maximum of 64 characters consisting of numbers, lower/upper case letters, .,-,_. """ return pulumi.get(self, "name") @property @pulumi.getter(name="secretArn") def secret_arn(self) -> pulumi.Output[str]: """ The Amazon Resource Name (ARN) of the secret created from the authorization parameters specified for the connection. """ return pulumi.get(self, "secret_arn")

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Python

api/handlers/general.py

bharadwaj-pendyala/opentestdata-api

ff388ff2dd6d43f45e11cb5689d06ba257b23f09

[ "MIT" ]

15

2019-06-27T02:48:02.000Z

2020-11-29T09:01:29.000Z

api/handlers/general.py

bharadwaj-pendyala/opentestdata-api

ff388ff2dd6d43f45e11cb5689d06ba257b23f09

[ "MIT" ]

16

2019-07-26T19:51:55.000Z

2022-03-12T00:00:24.000Z

api/handlers/general.py

bharadwaj-pendyala/opentestdata-api

ff388ff2dd6d43f45e11cb5689d06ba257b23f09

[ "MIT" ]

7

2019-06-26T11:10:50.000Z

2020-09-04T08:52:58.000Z

def ping(): return 'PONG'

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py

Python

testcases/trades_analyzer_test.py

daxlab/pyalgotrade

5517c2644da97e7ef143d344d813232d6845a29f

[ "Apache-2.0" ]

1,000

2016-01-26T12:10:11.000Z

2022-03-01T23:59:50.000Z

testcases/trades_analyzer_test.py

daxlab/pyalgotrade

5517c2644da97e7ef143d344d813232d6845a29f

[ "Apache-2.0" ]

22

2016-01-26T15:14:09.000Z

2019-01-30T02:36:38.000Z

testcases/trades_analyzer_test.py

daxlab/pyalgotrade

5517c2644da97e7ef143d344d813232d6845a29f

[ "Apache-2.0" ]

613

2016-01-27T01:02:30.000Z

2022-03-21T01:38:58.000Z

# PyAlgoTrade # # Copyright 2011-2015 Gabriel Martin Becedillas Ruiz # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """ .. moduleauthor:: Gabriel Martin Becedillas Ruiz <gabriel.becedillas@gmail.com> """ import datetime import math from distutils import version import pytz import numpy import common import strategy_test import position_test from pyalgotrade.barfeed import ninjatraderfeed from pyalgotrade.barfeed import csvfeed from pyalgotrade.stratanalyzer import trades from pyalgotrade import broker from pyalgotrade.broker import backtesting def buildUTCDateTime(year, month, day, hour, minute): ret = datetime.datetime(year, month, day, hour, minute) ret = pytz.utc.localize(ret) return ret class TradesAnalyzerTestCase(common.TestCase): TestInstrument = "spy" def __loadBarFeed(self): ret = ninjatraderfeed.Feed(ninjatraderfeed.Frequency.MINUTE) barFilter = csvfeed.USEquitiesRTH() ret.setBarFilter(barFilter) ret.addBarsFromCSV(TradesAnalyzerTestCase.TestInstrument, common.get_data_file_path("nt-spy-minute-2011.csv")) return ret def __createStrategy(self): barFeed = self.__loadBarFeed() return strategy_test.TestStrategy(barFeed, 1000) def __createPositionStrategy(self): barFeed = self.__loadBarFeed() return position_test.TestStrategy(barFeed, TradesAnalyzerTestCase.TestInstrument, 1000) def testNoTrades(self): strat = self.__createStrategy() stratAnalyzer = trades.Trades() strat.attachAnalyzer(stratAnalyzer) strat.run() self.assertTrue(strat.getBroker().getCash() == 1000) self.assertTrue(stratAnalyzer.getCount() == 0) self.assertTrue(stratAnalyzer.getEvenCount() == 0) self.assertTrue(stratAnalyzer.getProfitableCount() == 0) self.assertTrue(stratAnalyzer.getUnprofitableCount() == 0) def testSomeTrades_Position(self): strat = self.__createPositionStrategy() stratAnalyzer = trades.Trades() strat.attachAnalyzer(stratAnalyzer) # Winning trade strat.addPosEntry(buildUTCDateTime(2011, 1, 3, 15, 0), strat.enterLong, TradesAnalyzerTestCase.TestInstrument, 1) # 127.14 strat.addPosExit(buildUTCDateTime(2011, 1, 3, 15, 16)) # 127.16 # Losing trade strat.addPosEntry(buildUTCDateTime(2011, 1, 3, 15, 30), strat.enterLong, TradesAnalyzerTestCase.TestInstrument, 1) # 127.2 strat.addPosExit(buildUTCDateTime(2011, 1, 3, 15, 31)) # 127.16 # Winning trade strat.addPosEntry(buildUTCDateTime(2011, 1, 3, 15, 38), strat.enterLong, TradesAnalyzerTestCase.TestInstrument, 1) # 127.16 strat.addPosExit(buildUTCDateTime(2011, 1, 3, 15, 42)) # 127.26 # Unfinished trade not closed strat.addPosEntry(buildUTCDateTime(2011, 1, 3, 15, 47), strat.enterLong, TradesAnalyzerTestCase.TestInstrument, 1) # 127.34 strat.run() self.assertTrue(round(strat.getBroker().getCash(), 2) == round(1000 + (127.16 - 127.14) + (127.16 - 127.2) + (127.26 - 127.16) - 127.34, 2)) self.assertTrue(stratAnalyzer.getCount() == 3) self.assertTrue(stratAnalyzer.getEvenCount() == 0) self.assertTrue(round(stratAnalyzer.getAll().mean(), 2) == 0.03) self.assertTrue(round(stratAnalyzer.getAll().std(ddof=1), 2) == 0.07) self.assertTrue(round(stratAnalyzer.getAll().std(ddof=0), 2) == 0.06) self.assertTrue(stratAnalyzer.getProfitableCount() == 2) self.assertTrue(round(stratAnalyzer.getProfits().mean(), 2) == 0.06) self.assertTrue(round(stratAnalyzer.getProfits().std(ddof=1), 2) == 0.06) self.assertTrue(round(stratAnalyzer.getProfits().std(ddof=0), 2) == 0.04) self.assertEqual(stratAnalyzer.getPositiveReturns()[0], (127.16 - 127.14) / 127.14) self.assertEqual(stratAnalyzer.getPositiveReturns()[1], (127.26 - 127.16) / 127.16) self.assertTrue(stratAnalyzer.getUnprofitableCount() == 1) self.assertTrue(round(stratAnalyzer.getLosses().mean(), 2) == -0.04) if version.LooseVersion(numpy.__version__) >= version.LooseVersion("1.6.2"): self.assertTrue(math.isnan(stratAnalyzer.getLosses().std(ddof=1))) else: self.assertTrue(stratAnalyzer.getLosses().std(ddof=1) == 0) self.assertTrue(stratAnalyzer.getLosses().std(ddof=0) == 0) self.assertEqual(stratAnalyzer.getNegativeReturns()[0], (127.16 - 127.2) / 127.2) def testSomeTrades(self): strat = self.__createStrategy() stratAnalyzer = trades.Trades() strat.attachAnalyzer(stratAnalyzer) # Winning trade strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 0), strat.getBroker().createMarketOrder, broker.Order.Action.BUY, TradesAnalyzerTestCase.TestInstrument, 1) # 127.14 strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 16), strat.getBroker().createMarketOrder, broker.Order.Action.SELL, TradesAnalyzerTestCase.TestInstrument, 1) # 127.16 # Losing trade strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 30), strat.getBroker().createMarketOrder, broker.Order.Action.BUY, TradesAnalyzerTestCase.TestInstrument, 1) # 127.2 strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 31), strat.getBroker().createMarketOrder, broker.Order.Action.SELL, TradesAnalyzerTestCase.TestInstrument, 1) # 127.16 # Winning trade strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 38), strat.getBroker().createMarketOrder, broker.Order.Action.BUY, TradesAnalyzerTestCase.TestInstrument, 1) # 127.16 strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 42), strat.getBroker().createMarketOrder, broker.Order.Action.SELL, TradesAnalyzerTestCase.TestInstrument, 1) # 127.26 # Open trade. strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 47), strat.getBroker().createMarketOrder, broker.Order.Action.BUY, TradesAnalyzerTestCase.TestInstrument, 1) # 127.34 strat.run() self.assertTrue(round(strat.getBroker().getCash(), 2) == round(1000 + (127.16 - 127.14) + (127.16 - 127.2) + (127.26 - 127.16) - 127.34, 2)) self.assertTrue(stratAnalyzer.getCount() == 3) self.assertTrue(stratAnalyzer.getEvenCount() == 0) self.assertTrue(round(stratAnalyzer.getAll().mean(), 2) == 0.03) self.assertTrue(round(stratAnalyzer.getAll().std(ddof=1), 2) == 0.07) self.assertTrue(round(stratAnalyzer.getAll().std(ddof=0), 2) == 0.06) self.assertTrue(stratAnalyzer.getProfitableCount() == 2) self.assertTrue(round(stratAnalyzer.getProfits().mean(), 2) == 0.06) self.assertTrue(round(stratAnalyzer.getProfits().std(ddof=1), 2) == 0.06) self.assertTrue(round(stratAnalyzer.getProfits().std(ddof=0), 2) == 0.04) self.assertTrue(stratAnalyzer.getUnprofitableCount() == 1) self.assertTrue(round(stratAnalyzer.getLosses().mean(), 2) == -0.04) if version.LooseVersion(numpy.__version__) >= version.LooseVersion("1.6.2"): self.assertTrue(math.isnan(stratAnalyzer.getLosses().std(ddof=1))) else: self.assertTrue(stratAnalyzer.getLosses().std(ddof=1) == 0) self.assertTrue(stratAnalyzer.getLosses().std(ddof=0) == 0) def testSomeTradesWithCommissions(self): strat = self.__createStrategy() strat.getBroker().setCommission(backtesting.FixedPerTrade(0.01)) stratAnalyzer = trades.Trades() strat.attachAnalyzer(stratAnalyzer) # Losing trade strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 30), strat.getBroker().createMarketOrder, broker.Order.Action.BUY, TradesAnalyzerTestCase.TestInstrument, 1) # 127.2 strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 31), strat.getBroker().createMarketOrder, broker.Order.Action.SELL, TradesAnalyzerTestCase.TestInstrument, 1) # 127.16 # Winning trade strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 38), strat.getBroker().createMarketOrder, broker.Order.Action.BUY, TradesAnalyzerTestCase.TestInstrument, 1) # 127.16 strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 42), strat.getBroker().createMarketOrder, broker.Order.Action.SELL, TradesAnalyzerTestCase.TestInstrument, 1) # 127.26 # Open trade. strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 47), strat.getBroker().createMarketOrder, broker.Order.Action.BUY, TradesAnalyzerTestCase.TestInstrument, 1) # 127.34 strat.run() self.assertTrue(round(strat.getBroker().getCash(), 2) == round(1000 + (127.16 - 127.2) + (127.26 - 127.16) - 127.34 - 0.01*5, 2)) self.assertTrue(numpy.array_equal(stratAnalyzer.getCommissionsForAllTrades(), numpy.array([0.02, 0.02]))) self.assertTrue(numpy.array_equal(stratAnalyzer.getCommissionsForProfitableTrades(), numpy.array([0.02]))) self.assertTrue(numpy.array_equal(stratAnalyzer.getCommissionsForUnprofitableTrades(), numpy.array([0.02]))) self.assertTrue(numpy.array_equal(stratAnalyzer.getCommissionsForEvenTrades(), numpy.array([]))) def testProportionalCommissionBug(self): # Regression test for a bug reported by 'Jackson Sam' on 30/Aug/2013. strat = self.__createStrategy() strat.getBroker().setCommission(backtesting.FixedPerTrade(0.01)) stratAnalyzer = trades.Trades() strat.attachAnalyzer(stratAnalyzer) # There are 3 trades here: # Trade 1 (Long) # Buy 1 @ 127.16 Commission: 0.01 # Sell 1 @ 127.26 Commission: 0.005 # Trade 2 (Short) # Sell 1 @ 127.26 Commission: 0.005 # Buy 1 @ 127.37 Commission: 0.005 # Trade 3 (Long) # Buy 1 @ 127.37 Commission: 0.005 # Sell 1 @ 127.4 Commission: 0.01 strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 38), strat.getBroker().createMarketOrder, broker.Order.Action.BUY, TradesAnalyzerTestCase.TestInstrument, 1) # Fill at 127.16 strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 42), strat.getBroker().createMarketOrder, broker.Order.Action.SELL, TradesAnalyzerTestCase.TestInstrument, 2) # Fill at 127.26 strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 53), strat.getBroker().createMarketOrder, broker.Order.Action.BUY, TradesAnalyzerTestCase.TestInstrument, 2) # Fill at 127.37 strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 58), strat.getBroker().createMarketOrder, broker.Order.Action.SELL, TradesAnalyzerTestCase.TestInstrument, 1) # Fill at 127.4 strat.run() allReturns = stratAnalyzer.getAllReturns() self.assertEqual(round(allReturns[0], 6), 0.000668) self.assertEqual(round(allReturns[1], 6), -0.000943) self.assertEqual(round(allReturns[2], 6), 0.000118) def testLongShort(self): strat = self.__createStrategy() stratAnalyzer = trades.Trades() strat.attachAnalyzer(stratAnalyzer) # Enter long strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 0), strat.getBroker().createMarketOrder, broker.Order.Action.BUY, TradesAnalyzerTestCase.TestInstrument, 1) # 127.14 # Exit long and enter short strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 16), strat.getBroker().createMarketOrder, broker.Order.Action.SELL, TradesAnalyzerTestCase.TestInstrument, 2) # 127.16 # Exit short strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 30), strat.getBroker().createMarketOrder, broker.Order.Action.BUY_TO_COVER, TradesAnalyzerTestCase.TestInstrument, 1) # 127.2 strat.run() self.assertTrue(round(strat.getBroker().getCash(), 2) == round(1000 + (127.16 - 127.14) + (127.16 - 127.2), 2)) self.assertTrue(stratAnalyzer.getCount() == 2) self.assertTrue(stratAnalyzer.getEvenCount() == 0) self.assertTrue(round(stratAnalyzer.getAll().mean(), 2) == -0.01) self.assertTrue(round(stratAnalyzer.getAll().std(ddof=1), 4) == 0.0424) self.assertTrue(stratAnalyzer.getProfitableCount() == 1) self.assertTrue(round(stratAnalyzer.getProfits().mean(), 2) == 0.02) self.assertTrue(stratAnalyzer.getUnprofitableCount() == 1) self.assertTrue(round(stratAnalyzer.getLosses().mean(), 2) == -0.04) def testLongShort2(self): strat = self.__createStrategy() stratAnalyzer = trades.Trades() strat.attachAnalyzer(stratAnalyzer) # Enter long strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 0), strat.getBroker().createMarketOrder, broker.Order.Action.BUY, TradesAnalyzerTestCase.TestInstrument, 1) # 127.14 # Exit long strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 16), strat.getBroker().createMarketOrder, broker.Order.Action.SELL, TradesAnalyzerTestCase.TestInstrument, 1) # 127.16 # Enter short strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 16), strat.getBroker().createMarketOrder, broker.Order.Action.SELL_SHORT, TradesAnalyzerTestCase.TestInstrument, 1) # 127.16 # Exit short strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 30), strat.getBroker().createMarketOrder, broker.Order.Action.BUY_TO_COVER, TradesAnalyzerTestCase.TestInstrument, 1) # 127.2 strat.run() self.assertTrue(round(strat.getBroker().getCash(), 2) == round(1000 + (127.16 - 127.14) + (127.16 - 127.2), 2)) self.assertTrue(stratAnalyzer.getCount() == 2) self.assertTrue(stratAnalyzer.getEvenCount() == 0) self.assertTrue(round(stratAnalyzer.getAll().mean(), 2) == -0.01) self.assertTrue(round(stratAnalyzer.getAll().std(ddof=1), 4) == 0.0424) self.assertTrue(stratAnalyzer.getProfitableCount() == 1) self.assertTrue(round(stratAnalyzer.getProfits().mean(), 2) == 0.02) self.assertTrue(stratAnalyzer.getUnprofitableCount() == 1) self.assertTrue(round(stratAnalyzer.getLosses().mean(), 2) == -0.04) def testShortLong(self): strat = self.__createStrategy() stratAnalyzer = trades.Trades() strat.attachAnalyzer(stratAnalyzer) # Enter short strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 0), strat.getBroker().createMarketOrder, broker.Order.Action.SELL_SHORT, TradesAnalyzerTestCase.TestInstrument, 1) # 127.14 # Exit short and enter long strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 16), strat.getBroker().createMarketOrder, broker.Order.Action.BUY_TO_COVER, TradesAnalyzerTestCase.TestInstrument, 2) # 127.16 # Exit long strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 30), strat.getBroker().createMarketOrder, broker.Order.Action.SELL, TradesAnalyzerTestCase.TestInstrument, 1) # 127.2 strat.run() self.assertTrue(round(strat.getBroker().getCash(), 2) == round(1000 + (127.14 - 127.16) + (127.2 - 127.16), 2)) self.assertTrue(stratAnalyzer.getCount() == 2) self.assertTrue(stratAnalyzer.getEvenCount() == 0) self.assertTrue(round(stratAnalyzer.getAll().mean(), 2) == 0.01) self.assertTrue(round(stratAnalyzer.getAll().std(ddof=1), 4) == 0.0424) self.assertTrue(stratAnalyzer.getProfitableCount() == 1) self.assertTrue(round(stratAnalyzer.getProfits().mean(), 2) == 0.04) self.assertTrue(stratAnalyzer.getUnprofitableCount() == 1) self.assertTrue(round(stratAnalyzer.getLosses().mean(), 2) == -0.02) def testShortLong2(self): strat = self.__createStrategy() stratAnalyzer = trades.Trades() strat.attachAnalyzer(stratAnalyzer) # Enter short strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 0), strat.getBroker().createMarketOrder, broker.Order.Action.SELL_SHORT, TradesAnalyzerTestCase.TestInstrument, 1) # 127.14 # Exit short strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 16), strat.getBroker().createMarketOrder, broker.Order.Action.BUY_TO_COVER, TradesAnalyzerTestCase.TestInstrument, 1) # 127.16 # Enter long strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 16), strat.getBroker().createMarketOrder, broker.Order.Action.BUY, TradesAnalyzerTestCase.TestInstrument, 1) # 127.16 # Exit long strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 30), strat.getBroker().createMarketOrder, broker.Order.Action.SELL, TradesAnalyzerTestCase.TestInstrument, 1) # 127.2 strat.run() self.assertTrue(round(strat.getBroker().getCash(), 2) == round(1000 + (127.14 - 127.16) + (127.2 - 127.16), 2)) self.assertTrue(stratAnalyzer.getCount() == 2) self.assertTrue(stratAnalyzer.getEvenCount() == 0) self.assertTrue(round(stratAnalyzer.getAll().mean(), 2) == 0.01) self.assertTrue(round(stratAnalyzer.getAll().std(ddof=1), 4) == 0.0424) self.assertTrue(stratAnalyzer.getProfitableCount() == 1) self.assertTrue(round(stratAnalyzer.getProfits().mean(), 2) == 0.04) self.assertTrue(stratAnalyzer.getUnprofitableCount() == 1) self.assertTrue(round(stratAnalyzer.getLosses().mean(), 2) == -0.02) def testLong2(self): strat = self.__createStrategy() stratAnalyzer = trades.Trades() strat.attachAnalyzer(stratAnalyzer) # Enter long strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 0), strat.getBroker().createMarketOrder, broker.Order.Action.BUY, TradesAnalyzerTestCase.TestInstrument, 1) # 127.14 # Extend long position strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 16), strat.getBroker().createMarketOrder, broker.Order.Action.BUY, TradesAnalyzerTestCase.TestInstrument, 1) # 127.16 # Exit long strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 30), strat.getBroker().createMarketOrder, broker.Order.Action.SELL, TradesAnalyzerTestCase.TestInstrument, 2) # 127.2 strat.run() self.assertTrue(round(strat.getBroker().getCash(), 2) == round(1000 + (127.2 - 127.14) + (127.2 - 127.16), 2)) self.assertTrue(stratAnalyzer.getCount() == 1) self.assertTrue(stratAnalyzer.getEvenCount() == 0) self.assertTrue(round(stratAnalyzer.getAll().mean(), 2) == 0.1) self.assertTrue(stratAnalyzer.getProfitableCount() == 1) self.assertTrue(round(stratAnalyzer.getProfits().mean(), 2) == 0.1) self.assertTrue(stratAnalyzer.getUnprofitableCount() == 0) def testLong3(self): strat = self.__createStrategy() stratAnalyzer = trades.Trades() strat.attachAnalyzer(stratAnalyzer) # Enter long strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 0), strat.getBroker().createMarketOrder, broker.Order.Action.BUY, TradesAnalyzerTestCase.TestInstrument, 2) # 127.14 # Decrease long position strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 16), strat.getBroker().createMarketOrder, broker.Order.Action.SELL, TradesAnalyzerTestCase.TestInstrument, 1) # 127.16 # Exit long strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 30), strat.getBroker().createMarketOrder, broker.Order.Action.SELL, TradesAnalyzerTestCase.TestInstrument, 1) # 127.2 strat.run() self.assertTrue(round(strat.getBroker().getCash(), 2) == round(1000 + (127.2 - 127.14) + (127.16 - 127.14), 2)) self.assertTrue(stratAnalyzer.getCount() == 1) self.assertTrue(stratAnalyzer.getEvenCount() == 0) self.assertTrue(round(stratAnalyzer.getAll().mean(), 2) == 0.08) self.assertTrue(stratAnalyzer.getProfitableCount() == 1) self.assertTrue(round(stratAnalyzer.getProfits().mean(), 2) == 0.08) self.assertTrue(stratAnalyzer.getUnprofitableCount() == 0) def testShort2(self): strat = self.__createStrategy() stratAnalyzer = trades.Trades() strat.attachAnalyzer(stratAnalyzer) # Enter short strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 0), strat.getBroker().createMarketOrder, broker.Order.Action.SELL_SHORT, TradesAnalyzerTestCase.TestInstrument, 1) # 127.14 # Extend short position strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 16), strat.getBroker().createMarketOrder, broker.Order.Action.SELL_SHORT, TradesAnalyzerTestCase.TestInstrument, 1) # 127.16 # Exit short strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 30), strat.getBroker().createMarketOrder, broker.Order.Action.BUY_TO_COVER, TradesAnalyzerTestCase.TestInstrument, 2) # 127.2 strat.run() self.assertTrue(round(strat.getBroker().getCash(), 2) == round(1000 + (127.14 - 127.2) + (127.16 - 127.2), 2)) self.assertTrue(stratAnalyzer.getCount() == 1) self.assertTrue(stratAnalyzer.getEvenCount() == 0) self.assertTrue(round(stratAnalyzer.getAll().mean(), 2) == -0.1) self.assertTrue(stratAnalyzer.getUnprofitableCount() == 1) self.assertTrue(round(stratAnalyzer.getLosses().mean(), 2) == -0.1) self.assertTrue(stratAnalyzer.getProfitableCount() == 0) def testShort3(self): strat = self.__createStrategy() stratAnalyzer = trades.Trades() strat.attachAnalyzer(stratAnalyzer) # Enter short strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 0), strat.getBroker().createMarketOrder, broker.Order.Action.SELL_SHORT, TradesAnalyzerTestCase.TestInstrument, 2) # 127.14 # Decrease short position strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 16), strat.getBroker().createMarketOrder, broker.Order.Action.BUY_TO_COVER, TradesAnalyzerTestCase.TestInstrument, 1) # 127.16 # Exit short strat.addOrder(buildUTCDateTime(2011, 1, 3, 15, 30), strat.getBroker().createMarketOrder, broker.Order.Action.BUY_TO_COVER, TradesAnalyzerTestCase.TestInstrument, 1) # 127.2 strat.run() self.assertTrue(round(strat.getBroker().getCash(), 2) == round(1000 + (127.14 - 127.16) + (127.14 - 127.2), 2)) self.assertTrue(stratAnalyzer.getCount() == 1) self.assertTrue(stratAnalyzer.getEvenCount() == 0) self.assertTrue(round(stratAnalyzer.getAll().mean(), 2) == -0.08) self.assertTrue(stratAnalyzer.getUnprofitableCount() == 1) self.assertTrue(round(stratAnalyzer.getLosses().mean(), 2) == -0.08) self.assertTrue(stratAnalyzer.getProfitableCount() == 0)

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13,633

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Python

Python/tests/datatypes/test_timex_resolver.py

inloco/Recognizers-Text

9f4ac7cd4170fe39e48ccf52c028877e7c421e60

[ "MIT" ]

1

2019-01-03T16:41:29.000Z

Python/tests/datatypes/test_timex_resolver.py

inloco/Recognizers-Text

9f4ac7cd4170fe39e48ccf52c028877e7c421e60

[ "MIT" ]

76

2018-11-09T18:19:44.000Z

2019-08-20T20:29:53.000Z

Python/tests/datatypes/test_timex_resolver.py

inloco/Recognizers-Text

9f4ac7cd4170fe39e48ccf52c028877e7c421e60

[ "MIT" ]

6

2017-05-04T17:24:59.000Z

2019-07-23T15:48:44.000Z

from datatypes_timex_expression import Timex, datetime, TimexResolver def test_datatypes_resolver_date_definite(): today = datetime(2017, 9, 26, 15, 30, 0) resolution = TimexResolver.resolve(["2017-09-28"], today) assert len(resolution.values) == 1 assert resolution.values[0].timex == "2017-09-28" assert resolution.values[0].type == "date" assert resolution.values[0].value == "2017-09-28" assert resolution.values[0].start is None assert resolution.values[0].end is None def test_datatypes_resolver_date_saturday(): today = datetime(2017, 9, 26, 15, 30, 0) resolution = TimexResolver.resolve(["XXXX-WXX-6"], today) assert len(resolution.values) == 2 assert resolution.values[0].timex == "XXXX-WXX-6" assert resolution.values[0].type == "date" assert resolution.values[0].value == "2017-09-23" assert resolution.values[0].start is None assert resolution.values[0].end is None assert resolution.values[1].timex == "XXXX-WXX-6" assert resolution.values[1].type == "date" assert resolution.values[1].value == "2017-09-30" assert resolution.values[1].start is None assert resolution.values[1].end is None def test_datatypes_resolver_date_sunday(): today = datetime(2019, 4, 23, 15, 30, 0) resolution = TimexResolver.resolve(["XXXX-WXX-7"], today) assert len(resolution.values) == 2 assert resolution.values[0].timex == "XXXX-WXX-7" assert resolution.values[0].type == "date" assert resolution.values[0].value == "2019-04-21" assert resolution.values[0].start is None assert resolution.values[0].end is None assert resolution.values[1].timex == "XXXX-WXX-7" assert resolution.values[1].type == "date" assert resolution.values[1].value == "2019-04-28" assert resolution.values[1].start is None assert resolution.values[1].end is None def test_datatypes_resolver_date_wednesday_4(): today = datetime(2017, 9, 28, 15, 30, 0) resolution = TimexResolver.resolve(["XXXX-WXX-3T04", "XXXX-WXX-3T16"], today) assert len(resolution.values) == 4 assert resolution.values[0].timex == "XXXX-WXX-3T04" assert resolution.values[0].type == "datetime" assert resolution.values[0].value == "2017-09-27 04:00:00" assert resolution.values[0].start is None assert resolution.values[0].end is None assert resolution.values[1].timex == "XXXX-WXX-3T04" assert resolution.values[1].type == "datetime" assert resolution.values[1].value == "2017-10-04 04:00:00" assert resolution.values[1].start is None assert resolution.values[1].end is None assert resolution.values[2].timex == "XXXX-WXX-3T16" assert resolution.values[2].type == "datetime" assert resolution.values[2].value == "2017-09-27 16:00:00" assert resolution.values[2].start is None assert resolution.values[2].end is None assert resolution.values[3].timex == "XXXX-WXX-3T16" assert resolution.values[3].type == "datetime" assert resolution.values[3].value == "2017-10-04 16:00:00" assert resolution.values[3].start is None assert resolution.values[3].end is None def test_datatypes_resolver_datetime_wednesday_4_am(): today = datetime(2017, 9, 7) resolution = TimexResolver.resolve(["2017-10-11T04"], today) assert len(resolution.values) == 1 assert resolution.values[0].timex == "2017-10-11T04" assert resolution.values[0].type == "datetime" assert resolution.values[0].value == "2017-10-11 04:00:00" assert resolution.values[0].start is None assert resolution.values[0].end is None def test_datatypes_resolver_duration_2years(): today = datetime(2017, 9, 7) resolution = TimexResolver.resolve(["P2Y"], today) assert len(resolution.values) == 1 assert resolution.values[0].timex == "P2Y" assert resolution.values[0].type == "duration" assert resolution.values[0].value == "63072000" assert resolution.values[0].start is None assert resolution.values[0].end is None def test_datatypes_resolver_duration_6month(): today = datetime(2017, 9, 7) resolution = TimexResolver.resolve(["P6M"], today) assert len(resolution.values) == 1 assert resolution.values[0].timex == "P6M" assert resolution.values[0].type == "duration" assert resolution.values[0].value == "15552000" assert resolution.values[0].start is None assert resolution.values[0].end is None def test_datatypes_resolver_duration_3weeks(): resolution = TimexResolver.resolve(["P3W"]) assert len(resolution.values) == 1 assert resolution.values[0].timex == "P3W" assert resolution.values[0].type == "duration" assert resolution.values[0].value == "1814400" assert resolution.values[0].start is None assert resolution.values[0].end is None def test_datatypes_resolver_duration_5days(): resolution = TimexResolver.resolve(["P5D"]) assert len(resolution.values) == 1 assert resolution.values[0].timex == "P5D" assert resolution.values[0].type == "duration" assert resolution.values[0].value == "432000" assert resolution.values[0].start is None assert resolution.values[0].end is None def test_datatypes_resolver_duration_8hours(): resolution = TimexResolver.resolve(["PT8H"]) assert len(resolution.values) == 1 assert resolution.values[0].timex == "PT8H" assert resolution.values[0].type == "duration" assert resolution.values[0].value == "28800" assert resolution.values[0].start is None assert resolution.values[0].end is None def test_datatypes_resolver_duration_15minutes(): resolution = TimexResolver.resolve(["PT15M"]) assert len(resolution.values) == 1 assert resolution.values[0].timex == "PT15M" assert resolution.values[0].type == "duration" assert resolution.values[0].value == "900" assert resolution.values[0].start is None assert resolution.values[0].end is None def test_datatypes_resolver_duration_10seconds(): resolution = TimexResolver.resolve(["PT10S"]) assert len(resolution.values) == 1 assert resolution.values[0].timex == "PT10S" assert resolution.values[0].type == "duration" assert resolution.values[0].value == "10" assert resolution.values[0].start is None assert resolution.values[0].end is None def test_datatypes_resolver_dateRange_september(): today = datetime(2017, 9, 28) resolution = TimexResolver.resolve(["XXXX-09"], today) assert len(resolution.values) == 2 assert resolution.values[0].timex == "XXXX-09" assert resolution.values[0].type == "daterange" assert resolution.values[0].start == "2016-09-01" assert resolution.values[0].end == "2016-10-01" assert resolution.values[0].value is None assert resolution.values[1].timex == "XXXX-09" assert resolution.values[1].type == "daterange" assert resolution.values[1].start == "2017-09-01" assert resolution.values[1].end == "2017-10-01" assert resolution.values[1].value is None def test_datatypes_resolver_dateRange_winter(): resolution = TimexResolver.resolve(["WI"]) assert len(resolution.values) == 1 assert resolution.values[0].timex == "WI" assert resolution.values[0].type == "daterange" assert resolution.values[0].value == "not resolved" assert resolution.values[0].start is None assert resolution.values[0].end is None def test_datatypes_resolver_dateRange_last_week(): today = datetime(2017, 4, 30) resolution = TimexResolver.resolve(["2019-W17"], today) assert len(resolution.values) == 1 assert resolution.values[0].timex == "2019-W17" assert resolution.values[0].type == "daterange" assert resolution.values[0].start == "2019-04-22" assert resolution.values[0].end == "2019-04-29" def test_datatypes_resolver_dateRange_last_month(): today = datetime(2017, 4, 30) resolution = TimexResolver.resolve(["2019-03"], today) assert len(resolution.values) == 1 assert resolution.values[0].timex == "2019-03" assert resolution.values[0].type == "daterange" assert resolution.values[0].start == "2019-03-01" assert resolution.values[0].end == "2019-04-01" def test_datatypes_resolver_dateRange_last_year(): today = datetime(2017, 4, 30) resolution = TimexResolver.resolve(["2018"], today) assert len(resolution.values) == 1 assert resolution.values[0].timex == "2018" assert resolution.values[0].type == "daterange" assert resolution.values[0].start == "2018-01-01" assert resolution.values[0].end == "2019-01-01" def test_datatypes_resolver_dateRange_last_three_weeks(): today = datetime(2017, 4, 30) resolution = TimexResolver.resolve(["(2019-04-10,2019-05-01,P3W)"], today) assert len(resolution.values) == 1 assert resolution.values[0].timex == "(2019-04-10,2019-05-01,P3W)" assert resolution.values[0].type == "daterange" assert resolution.values[0].start == "2019-04-10" assert resolution.values[0].end == "2019-05-01" def test_datatypes_resolver_dateRange_last_ten_years(): today = datetime(2021, 1, 1) resolution = TimexResolver.resolve(["(2011-01-01,2021-01-01,P10Y)"], today) assert len(resolution.values) == 1 assert resolution.values[0].timex == "(2011-01-01,2021-01-01,P10Y)" assert resolution.values[0].type == "daterange" assert resolution.values[0].start == "2011-01-01" assert resolution.values[0].end == "2021-01-01" def test_datatypes_resolver_timeRange_4am_to_8pm(): today = datetime.now() resolution = TimexResolver.resolve(["(T04,T20,PT16H)"], today) assert len(resolution.values) == 1 assert resolution.values[0].timex == "(T04,T20,PT16H)" assert resolution.values[0].type == "timerange" assert resolution.values[0].start == "04:00:00" assert resolution.values[0].end == "20:00:00" assert resolution.values[0].value is None def test_datatypes_resolver_timeRange_morning(): today = datetime.now() resolution = TimexResolver.resolve(["TMO"], today) assert len(resolution.values) == 1 assert resolution.values[0].timex == "TMO" assert resolution.values[0].type == "timerange" assert resolution.values[0].start == "08:00:00" assert resolution.values[0].end == "12:00:00" assert resolution.values[0].value is None def test_datatypes_resolver_timeRange_afternoon(): today = datetime.now() resolution = TimexResolver.resolve(["TAF"], today) assert len(resolution.values) == 1 assert resolution.values[0].timex == "TAF" assert resolution.values[0].type == "timerange" assert resolution.values[0].start == "12:00:00" assert resolution.values[0].end == "16:00:00" assert resolution.values[0].value is None def test_datatypes_resolver_timeRange_evening(): today = datetime.now() resolution = TimexResolver.resolve(["TEV"], today) assert len(resolution.values) == 1 assert resolution.values[0].timex == "TEV" assert resolution.values[0].type == "timerange" assert resolution.values[0].start == "16:00:00" assert resolution.values[0].end == "20:00:00" assert resolution.values[0].value is None def test_datatypes_resolver_dateTimeRange_this_morning(): today = datetime.now() resolution = TimexResolver.resolve(["2017-10-07TMO"], today) assert len(resolution.values) == 1 assert resolution.values[0].timex == "2017-10-07TMO" assert resolution.values[0].type == "datetimerange" assert resolution.values[0].start == "2017-10-07 08:00:00" assert resolution.values[0].end == "2017-10-07 12:00:00" assert resolution.values[0].value is None def test_datatypes_resolver_dateTimeRange_tonight(): today = datetime.now() resolution = TimexResolver.resolve(["2018-03-18TNI"], today) assert len(resolution.values) == 1 assert resolution.values[0].timex == "2018-03-18TNI" assert resolution.values[0].type == "datetimerange" assert resolution.values[0].start == "2018-03-18 20:00:00" assert resolution.values[0].end == "2018-03-18 24:00:00" assert resolution.values[0].value is None def test_datatypes_resolver_dateTimeRange_next_monday_4am_to_next_thursday_3pm(): today = datetime.now() resolution = TimexResolver.resolve(["(2017-10-09T04,2017-10-12T15,PT83H)"], today) assert len(resolution.values) == 1 assert resolution.values[0].timex == "(2017-10-09T04,2017-10-12T15,PT83H)" assert resolution.values[0].type == "datetimerange" assert resolution.values[0].start == "2017-10-09 04:00:00" assert resolution.values[0].end == "2017-10-12 15:00:00" assert resolution.values[0].value is None def test_datatypes_resolver_time_4am(): resolution = TimexResolver.resolve(["T04"]) assert len(resolution.values) == 1 assert resolution.values[0].timex == "T04" assert resolution.values[0].type == "time" assert resolution.values[0].value == "04:00:00" assert resolution.values[0].start is None assert resolution.values[0].end is None def test_datatypes_resolver_time_4_oclock(): resolution = TimexResolver.resolve(["T04", "T16"]) assert len(resolution.values) == 2 assert resolution.values[0].timex == "T04" assert resolution.values[0].type == "time" assert resolution.values[0].value == "04:00:00" assert resolution.values[0].start is None assert resolution.values[0].end is None assert resolution.values[1].timex == "T16" assert resolution.values[1].type == "time" assert resolution.values[1].value == "16:00:00" assert resolution.values[1].start is None assert resolution.values[1].end is None

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e6fdb7dcb34b3cadf2720757de486e43f465bb23

12,263

py

Python

tests/test_apistar_jwt.py

audiolion/apistar-jwt

b3e0a9bd63a7729cab59450569e6f8021ceaba4f

[ "MIT" ]

42

2017-10-05T00:58:10.000Z

2020-02-22T22:36:30.000Z

tests/test_apistar_jwt.py

audiolion/apistar-jwt

b3e0a9bd63a7729cab59450569e6f8021ceaba4f

[ "MIT" ]

19

2017-10-06T18:31:42.000Z

2019-10-18T16:22:22.000Z

tests/test_apistar_jwt.py

audiolion/apistar-jwt

b3e0a9bd63a7729cab59450569e6f8021ceaba4f

[ "MIT" ]

11

2017-10-06T20:02:20.000Z

2018-08-14T12:10:32.000Z

#!/usr/bin/env python """Tests for `apistar_jwt` package.""" import jwt import pytest from datetime import datetime, timedelta from apistar import Route, exceptions, http from apistar.test import TestClient from apistar.server.app import App, ASyncApp from apistar_jwt.token import JWT, JWTUser from apistar_jwt.decorators import authentication_required, anonymous_allowed @authentication_required def auth_required(request: http.Request, user: JWTUser): return user.__dict__ @anonymous_allowed def anon_allowed(request: http.Request, user: JWTUser): if user: return user.__dict__ return None def test_configuration_error() -> None: with pytest.raises(exceptions.ConfigurationError): JWT() @pytest.mark.parametrize('app_class', [App, ASyncApp]) def test_jwt_auth_required(app_class) -> None: secret = 'jwt-secret' routes = [ Route('/auth-required', 'GET', auth_required), ] components = [JWT({'JWT_SECRET': secret})] app = app_class(routes=routes, components=components) client = TestClient(app) response = client.get('/auth-required') assert response.status_code == 401 response = client.get('/auth-required', headers={ 'Authorization': 'Bearer', }) assert response.status_code == 401 response = client.get('/auth-required', headers={ 'Authorization': 'Basic username', }) assert response.status_code == 401 payload = {'id': 1, 'username': 'bailey'} encoded_jwt = jwt.encode(payload, secret, algorithm='HS256').decode(encoding='UTF-8') response = client.get('/auth-required', headers={ 'Authorization': 'Bearer {token}'.format(token=encoded_jwt), }) assert response.status_code == 200 data = response.json() assert data['id'] == payload['id'] assert data['username'] == payload['username'] assert data['token'] == payload # wrong secret encoded_jwt = jwt.encode(payload, 'wrong secret', algorithm='HS256').decode(encoding='UTF-8') response = client.get('/auth-required', headers={ 'Authorization': 'Bearer {token}'.format(token=encoded_jwt), }) assert response.status_code == 401 # wrong algorithm encoded_jwt = jwt.encode(payload, secret, algorithm='HS512').decode(encoding='UTF-8') response = client.get('/auth-required', headers={ 'Authorization': 'Bearer {token}'.format(token=encoded_jwt), }) assert response.status_code == 401 # empty payload causes auth to fail encoded_jwt = jwt.encode({}, secret, algorithm='HS256').decode(encoding='UTF-8') response = client.get('/auth-required', headers={ 'Authorization': 'Bearer {token}'.format(token=encoded_jwt), }) assert response.status_code == 401 @pytest.mark.parametrize('app_class', [App, ASyncApp]) def test_jwt_anon_allowed(app_class) -> None: secret = 'jwt-secret' routes = [ Route('/anonymous-allowed', 'GET', anon_allowed), ] components = [JWT({'JWT_SECRET': secret})] app = app_class(routes=routes, components=components) client = TestClient(app) response = client.get('/anonymous-allowed') assert response.status_code == 200 assert response.json() is None # client is trying to authenticate, so not anonymous response = client.get('/anonymous-allowed', headers={ 'Authorization': 'Bearer', }) assert response.status_code == 401 # client is trying to authenticate, so not anonymous response = client.get('/anonymous-allowed', headers={ 'Authorization': 'Basic username', }) assert response.status_code == 401 payload = {'id': 1, 'username': 'bailey'} encoded_jwt = jwt.encode(payload, secret, algorithm='HS256').decode(encoding='UTF-8') # authenticated is also allowed response = client.get('/anonymous-allowed', headers={ 'Authorization': 'Bearer {token}'.format(token=encoded_jwt), }) assert response.status_code == 200 data = response.json() assert data['id'] == payload['id'] assert data['username'] == payload['username'] assert data['token'] == payload # wrong secret encoded_jwt = jwt.encode(payload, 'wrong secret', algorithm='HS256').decode(encoding='UTF-8') response = client.get('/anonymous-allowed', headers={ 'Authorization': 'Bearer {token}'.format(token=encoded_jwt), }) assert response.status_code == 401 # wrong algorithm encoded_jwt = jwt.encode(payload, secret, algorithm='HS512').decode(encoding='UTF-8') response = client.get('/anonymous-allowed', headers={ 'Authorization': 'Bearer {token}'.format(token=encoded_jwt), }) assert response.status_code == 401 # empty payload causes auth to fail encoded_jwt = jwt.encode({}, secret, algorithm='HS256').decode(encoding='UTF-8') response = client.get('/anonymous-allowed', headers={ 'Authorization': 'Bearer {token}'.format(token=encoded_jwt), }) assert response.status_code == 401 @pytest.mark.parametrize('app_class', [App, ASyncApp]) def test_jwt_issuer_claim(app_class) -> None: secret = 'jwt-secret' routes = [ Route('/auth-required', 'GET', auth_required), ] components = [ JWT({ 'JWT_SECRET': secret, 'JWT_OPTIONS': { 'issuer': 'urn:foo', } }) ] app = app_class(routes=routes, components=components) client = TestClient(app) payload = {'user': 1, 'username': 'bailey', 'iss': 'urn:foo'} # iss claim is correct encoded_jwt = jwt.encode(payload, secret, algorithm='HS256').decode(encoding='UTF-8') response = client.get('/auth-required', headers={ 'Authorization': 'Bearer {token}'.format(token=encoded_jwt), }) assert response.status_code == 200 # iss claim is incorrect payload['iss'] = 'urn:not-foo' encoded_jwt = jwt.encode(payload, secret, algorithm='HS256').decode(encoding='UTF-8') response = client.get('/auth-required', headers={ 'Authorization': 'Bearer {token}'.format(token=encoded_jwt), }) assert response.status_code == 401 # no iss claim included in jwt del payload['iss'] encoded_jwt = jwt.encode(payload, secret, algorithm='HS256').decode(encoding='UTF-8') response = client.get('/auth-required', headers={ 'Authorization': 'Bearer {token}'.format(token=encoded_jwt), }) assert response.status_code == 401 @pytest.mark.parametrize('app_class', [App, ASyncApp]) def test_jwt_audience_claim(app_class) -> None: secret = 'jwt-secret' routes = [ Route('/auth-required', 'GET', auth_required), ] components = [ JWT({ 'JWT_SECRET': secret, 'JWT_OPTIONS': { 'audience': 'urn:foo', } }) ] app = app_class(routes=routes, components=components) client = TestClient(app) payload = {'user': 1, 'username': 'bailey', 'aud': 'urn:foo'} # aud claim is single and correct encoded_jwt = jwt.encode(payload, secret, algorithm='HS256').decode(encoding='UTF-8') response = client.get('/auth-required', headers={ 'Authorization': 'Bearer {token}'.format(token=encoded_jwt), }) assert response.status_code == 200 # aud claim is multiple and correct payload['aud'] = ['urn:bar', 'urn:baz', 'urn:foo'] encoded_jwt = jwt.encode(payload, secret, algorithm='HS256').decode(encoding='UTF-8') response = client.get('/auth-required', headers={ 'Authorization': 'Bearer {token}'.format(token=encoded_jwt), }) assert response.status_code == 200 # aud claim is incorrect and single payload['aud'] = 'urn:not-foo' encoded_jwt = jwt.encode(payload, secret, algorithm='HS256').decode(encoding='UTF-8') response = client.get('/auth-required', headers={ 'Authorization': 'Bearer {token}'.format(token=encoded_jwt), }) assert response.status_code == 401 # aud claim is incorrect and multiple payload['aud'] = ['urn:bar', 'urn:baz', 'urn:not-foo'] encoded_jwt = jwt.encode(payload, secret, algorithm='HS256').decode(encoding='UTF-8') response = client.get('/auth-required', headers={ 'Authorization': 'Bearer {token}'.format(token=encoded_jwt), }) assert response.status_code == 401 # no aud claim included in jwt del payload['aud'] encoded_jwt = jwt.encode(payload, secret, algorithm='HS256').decode(encoding='UTF-8') response = client.get('/auth-required', headers={ 'Authorization': 'Bearer {token}'.format(token=encoded_jwt), }) assert response.status_code == 401 @pytest.mark.parametrize('app_class', [App, ASyncApp]) def test_jwt_leeway_claim(app_class) -> None: secret = 'jwt-secret' routes = [ Route('/auth-required', 'GET', auth_required), ] components = [ JWT({ 'JWT_SECRET': secret, 'JWT_OPTIONS': { 'leeway': 3, } }) ] app = app_class(routes=routes, components=components) client = TestClient(app) payload = {'user': 1, 'username': 'bailey', 'exp': datetime.utcnow() - timedelta(seconds=2)} # exp claim doesn't fail because of leeway encoded_jwt = jwt.encode(payload, secret, algorithm='HS256').decode(encoding='UTF-8') response = client.get('/auth-required', headers={ 'Authorization': 'Bearer {token}'.format(token=encoded_jwt), }) assert response.status_code == 200 # exp claim fails because leeway is only 3 seconds payload['exp'] = datetime.utcnow() - timedelta(seconds=4) encoded_jwt = jwt.encode(payload, secret, algorithm='HS256').decode(encoding='UTF-8') response = client.get('/auth-required', headers={ 'Authorization': 'Bearer {token}'.format(token=encoded_jwt), }) assert response.status_code == 401 # no exp claim included in jwt, leeway doesnt apply del payload['exp'] encoded_jwt = jwt.encode(payload, secret, algorithm='HS256').decode(encoding='UTF-8') response = client.get('/auth-required', headers={ 'Authorization': 'Bearer {token}'.format(token=encoded_jwt), }) assert response.status_code == 200 @pytest.mark.parametrize("app_class", [App, ASyncApp]) def test_jwt_white_list(app_class) -> None: secret = "jwt-secret" class IsAuthenticated: def on_request(self, jwt_user: JWTUser) -> None: """ just force authentication for each request""" components = [JWT({"JWT_SECRET": secret})] app = app_class(routes=[], components=components, event_hooks=[IsAuthenticated()]) client = TestClient(app) r = client.get("/schema/") assert r.json() == "Authorization header is missing." assert r.status_code == 401 components = [JWT({"JWT_SECRET": secret, "JWT_WHITE_LIST": ["serve_schema"]})] app = app_class(routes=[], components=components, event_hooks=[IsAuthenticated()]) client = TestClient(app) r = client.get("/schema/") assert r.status_code == 200 @pytest.mark.parametrize("app_class", [App, ASyncApp]) def test_jwt_authorization_prefix(app_class) -> None: secret = 'jwt-secret' routes = [ Route('/auth-required', 'GET', auth_required), ] components = [JWT({'JWT_SECRET': secret, 'JWT_AUTHORIZATION_PREFIX': 'jwt'})] app = app_class(routes=routes, components=components) client = TestClient(app) response = client.get('/auth-required') assert response.status_code == 401 response = client.get('/auth-required', headers={ 'Authorization': 'Bearer', }) assert response.status_code == 401 response = client.get('/auth-required', headers={ 'Authorization': 'Basic username', }) assert response.status_code == 401 payload = {'id': 1, 'username': 'bailey'} encoded_jwt = jwt.encode(payload, secret, algorithm='HS256').decode(encoding='UTF-8') response = client.get('/auth-required', headers={ 'Authorization': 'JWT {token}'.format(token=encoded_jwt), }) assert response.status_code == 200 data = response.json() assert data['id'] == payload['id'] assert data['username'] == payload['username'] assert data['token'] == payload

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fc0639ee89c5b13c3e036e5a682de6a10f70cf6c

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Python

examples/dagster_examples/bay_bikes/pipelines.py

zzztimbo/dagster

5cf8f159183a80d2364e05bb30362e2798a7af37

[ "Apache-2.0" ]

null

examples/dagster_examples/bay_bikes/pipelines.py

zzztimbo/dagster

5cf8f159183a80d2364e05bb30362e2798a7af37

[ "Apache-2.0" ]

null

examples/dagster_examples/bay_bikes/pipelines.py

zzztimbo/dagster

5cf8f159183a80d2364e05bb30362e2798a7af37

[ "Apache-2.0" ]

null

from dagster import ModeDefinition, PresetDefinition, file_relative_path, pipeline from ..common.resources import postgres_db_info_resource from .resources import credentials_vault, gcs_client, local_client, mount from .solids import train_daily_bike_supply_model, trip_etl, weather_etl MODES = [ ModeDefinition( name='development', resource_defs={ 'postgres_db': postgres_db_info_resource, 'gcs_client': local_client, 'credentials_vault': credentials_vault, 'volume': mount, }, description='Mode to be used during local demo.', ), ModeDefinition( name='production', resource_defs={ 'postgres_db': postgres_db_info_resource, 'gcs_client': gcs_client, 'credentials_vault': credentials_vault, 'volume': mount, }, description='Mode to be used on a remote production server', ), ] WEATHER_INGEST_PRESETS = [ PresetDefinition.from_files( 'dev_weather_etl', mode='development', environment_files=[ file_relative_path(__file__, 'environments/dev_credentials_vault.yaml'), file_relative_path(__file__, 'environments/dev_database_resources.yaml'), file_relative_path(__file__, 'environments/file_system_resources.yaml'), file_relative_path(__file__, 'environments/weather.yaml'), ], solid_subset=['weather_etl'], ), PresetDefinition.from_files( 'prod_weather_etl', mode='production', environment_files=[ file_relative_path(__file__, 'environments/prod_credentials_vault.yaml'), file_relative_path(__file__, 'environments/prod_database_resources.yaml'), file_relative_path(__file__, 'environments/file_system_resources.yaml'), file_relative_path(__file__, 'environments/weather.yaml'), ], solid_subset=['weather_etl'], ), ] TRIP_INGEST_PRESETS = [ PresetDefinition.from_files( 'dev_trip_etl', mode='development', environment_files=[ file_relative_path(__file__, 'environments/dev_credentials_vault.yaml'), file_relative_path(__file__, 'environments/dev_database_resources.yaml'), file_relative_path(__file__, 'environments/file_system_resources.yaml'), file_relative_path(__file__, 'environments/trips.yaml'), ], solid_subset=['trip_etl'], ), PresetDefinition.from_files( 'prod_trip_etl', mode='production', environment_files=[ file_relative_path(__file__, 'environments/prod_credentials_vault.yaml'), file_relative_path(__file__, 'environments/prod_database_resources.yaml'), file_relative_path(__file__, 'environments/file_system_resources.yaml'), file_relative_path(__file__, 'environments/trips.yaml'), ], solid_subset=['trip_etl'], ), ] TRAINING_PRESETS = [ PresetDefinition.from_files( 'dev_train_daily_bike_supply_model', mode='development', environment_files=[ file_relative_path(__file__, 'environments/dev_credentials_vault.yaml'), file_relative_path(__file__, 'environments/dev_database_resources.yaml'), file_relative_path(__file__, 'environments/file_system_resources.yaml'), file_relative_path(__file__, 'environments/training.yaml'), ], solid_subset=['train_daily_bike_supply_model'], ), PresetDefinition.from_files( 'prod_train_daily_bike_supply_model', mode='production', environment_files=[ file_relative_path(__file__, 'environments/prod_credentials_vault.yaml'), file_relative_path(__file__, 'environments/prod_database_resources.yaml'), file_relative_path(__file__, 'environments/file_system_resources.yaml'), file_relative_path(__file__, 'environments/training.yaml'), ], solid_subset=['train_daily_bike_supply_model'], ), ] @pipeline( mode_defs=MODES, preset_defs=WEATHER_INGEST_PRESETS + TRIP_INGEST_PRESETS + TRAINING_PRESETS, ) def generate_training_set_and_train_model(): return train_daily_bike_supply_model(weather_etl(), trip_etl()) @pipeline( mode_defs=MODES, preset_defs=WEATHER_INGEST_PRESETS, ) def daily_weather_pipeline(): return weather_etl()

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null

0

7

fc6bc06482f5835599323193d8e8f016bdd2818c

5,284

py

Python

tests/integration/testdata/start_api/main.py

viksrivat/aws-sam-cli

079e7a927ee20b80903852f6da8029d4086c889b

[ "Apache-2.0" ]

1

2020-12-19T07:34:23.000Z

tests/integration/testdata/start_api/main.py

viksrivat/aws-sam-cli

079e7a927ee20b80903852f6da8029d4086c889b

[ "Apache-2.0" ]

1

2019-08-29T00:20:27.000Z

tests/integration/testdata/start_api/main.py

viksrivat/aws-sam-cli

079e7a927ee20b80903852f6da8029d4086c889b

[ "Apache-2.0" ]

2

2019-08-28T22:24:09.000Z

2019-08-28T23:07:00.000Z

import json import sys import time def handler(event, context): return {"statusCode": 200, "body": json.dumps({"hello": "world"})} def echo_event_handler(event, context): return {"statusCode": 200, "body": json.dumps(event)} def echo_event_handler_2(event, context): event['handler'] = 'echo_event_handler_2' return {"statusCode": 200, "body": json.dumps(event)} def echo_integer_body(event, context): return {"statusCode": 200, "body": 42} def content_type_setter_handler(event, context): return {"statusCode": 200, "body": "hello", "headers": {"Content-Type": "text/plain"}} def only_set_status_code_handler(event, context): return {"statusCode": 200} def only_set_body_handler(event, context): return {"body": json.dumps({"hello": "world"})} def string_status_code_handler(event, context): return {"statusCode": "200", "body": json.dumps({"hello": "world"})} def sleep_10_sec_handler(event, context): # sleep thread for 10s. This is useful for testing multiple requests time.sleep(10) return {"statusCode": 200, "body": json.dumps({"message": "HelloWorld! I just slept and waking up."})} def write_to_stderr(event, context): sys.stderr.write("Docker Lambda is writing to stderr") return {"statusCode": 200, "body": json.dumps({"hello": "world"})} def write_to_stdout(event, context): sys.stdout.write("Docker Lambda is writing to stdout") return {"statusCode": 200, "body": json.dumps({"hello": "world"})} def invalid_response_returned(event, context): return "This is invalid" def invalid_hash_response(event, context): return {"foo": "bar"} def base64_response(event, context): gifImageBase64 = "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" # NOQA return { "statusCode": 200, "body": gifImageBase64, "isBase64Encoded": True, "headers": { "Content-Type": "image/gif" } } def echo_base64_event_body(event, context): return { "statusCode": 200, "body": event["body"], "headers": { "Content-Type": event["headers"]["Content-Type"] }, "isBase64Encoded": event["isBase64Encoded"] } def multiple_headers(event, context): return { "statusCode": 200, "body": "hello", "headers": {"Content-Type": "text/plain"}, "multiValueHeaders": {"MyCustomHeader": ['Value1', 'Value2']} } def multiple_headers_overrides_headers(event, context): return { "statusCode": 200, "body": "hello", "headers": {"Content-Type": "text/plain", "MyCustomHeader": 'Custom'}, "multiValueHeaders": {"MyCustomHeader": ['Value1', 'Value2']} }

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null

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1

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1

0

8

5daebba1b164f94f42f93b9b11635a9961260c88

43,931

py

Python

data_utils/datasets.py

initc/gpt-lm

941f2816d7a749ea3a3e0c574b35fc3fc67e94e3

[ "Apache-2.0" ]

2

2019-10-17T04:03:06.000Z

2020-05-22T13:27:50.000Z

data_utils/datasets.py

initc/gpt-lm

941f2816d7a749ea3a3e0c574b35fc3fc67e94e3

[ "Apache-2.0" ]

1

2020-05-22T13:36:27.000Z

data_utils/datasets.py

initc/gpt-lm

941f2816d7a749ea3a3e0c574b35fc3fc67e94e3

[ "Apache-2.0" ]

1

2019-10-17T04:03:08.000Z

# coding=utf-8 # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """dataset objects for jsons, csvs, and BERT datasets""" import os import torch import random from data_utils.utils import numpy_seed import itertools from torch.utils import data import numpy as np from data_utils import indexed_dataset class CLMTaskDataset(data.Dataset): def __init__(self, path, tokenizer, batch_size, max_tokens, world_size=1, max_lens=510, seed=512, no_cache=False, use_cls_special=False): self.sizes = None self.tokenizer = tokenizer self.batch_size = batch_size self.max_tokens = max_tokens self.world_size = world_size self.max_lens = max_lens self.seed = seed + 20 self.no_cache = no_cache self.use_cls_special = use_cls_special self.data = self.read_data(path) self.padding = tokenizer.pad() self.frozen_indices = self.init_data_indices() self.frozen_batch = self.fill_batch(list(self.batch_by_size())) @property def supports_prefetch(self): if self.data.supports_prefetch: return True else: return False def prefetch(self, indices): if self.supports_prefetch: self.data.prefetch(indices) print("| Fetch all data into memory") def fill_batch(self, batches): size = len(batches) rng = random.Random(self.seed) rng.shuffle(batches) fill_num = self.world_size - size % self.world_size if fill_num == self.world_size: return batches batches.extend(batches[-fill_num:]) assert len(batches) % self.world_size == 0 return batches def index_len(self): return len(self.data) def read_data(self, path): if self.no_cache: data = indexed_dataset.IndexedDataset(path, fix_lua_indexing=True) else: data = indexed_dataset.IndexedCachedDataset(path, fix_lua_indexing=True) self.sizes = data.sizes return data def init_data_indices(self): return self.ordered_indices() def filter_by_size(self, indices): ignore = [] to_samll = [] for ind in indices: size = self.num_tokens(ind) if size > self.max_lens: ignore.append(ind) elif size < 10: to_samll.append(ind) else: yield ind if len(ignore) > 0: print( "WARNING: {} samples have invalid sizes and will be skipped, max-qa-len={}, first few sample ids={}".format( len(ignore), self.max_lens, ignore[:10])) if len(to_samll) > 0: print( "WARNING: {} samples have invalid sizes and will be skipped, max-qa-len={}, first few sample ids={}".format( len(to_samll), 10, to_samll[:10])) def __len__(self): return len(self.frozen_indices) def ordered_indices(self): """Return an ordered list of indices. Batches will be constructed based on this order.""" with numpy_seed(self.seed): indices = np.random.permutation(len(self.data)) lens = [] for inx_a in indices: lens.append(self.num_tokens(inx_a)) indices = indices[np.argsort(np.array(lens), kind='mergesort')] indices = list(self.filter_by_size(indices)) return indices def num_tokens(self, idx): return self.sizes[idx] def batch_by_size(self): max_tokens = self.max_tokens indices = self.frozen_indices batch = [] tokens = 0 def is_batch_full(num_tokens): if len(batch) == 0: return False if num_tokens > max_tokens: return True if len(batch) == self.batch_size: return True return False for idx in indices: idx_max_token = self.num_tokens(idx) tokens = max(tokens, idx_max_token) if is_batch_full(tokens * (len(batch) + 1)): yield batch batch = [] tokens = 0 batch.append(idx) if len(batch) >= 1: yield batch def __getitem__(self, idx): tokens = self.data[idx].tolist() task = tokens[0] tokens = tokens[1:] token_sep = [self.tokenizer.sep()] if self.use_cls_special: token_cls = [self.tokenizer.cls_style(task)] else: token_cls = [self.tokenizer.cls()] lm_labels = tokens + token_sep tokens = token_cls + tokens assert len(tokens) == len(lm_labels) return {"id": int(idx), "tokens": tokens, "lm_labels": lm_labels, "task": task, "model-type": "CLM" } def collate(self, samples): padding = self.tokenizer.pad() tensor_size = max([len(candidate["tokens"]) for candidate in samples]) batch = len(samples) input_ids = torch.LongTensor(batch, tensor_size).fill_(padding) attention_mask = torch.LongTensor(batch, tensor_size).fill_(0) lm_labels = torch.LongTensor(batch, tensor_size).fill_(-1) nsp_labels = torch.LongTensor(batch).fill_(-1) task_type_ids = None if not self.use_cls_special: task_type_ids = torch.LongTensor(batch, tensor_size).fill_(padding) id_ = torch.LongTensor(batch).fill_(padding) ntokens = 0 for i, candidates in enumerate(samples): assert candidates["model-type"].lower() == "clm" tokens = candidates["tokens"] lm_tokens = candidates["lm_labels"] lens = len(tokens) input_ids[i, :lens] = torch.Tensor(tokens) lm_labels[i, :lens] = torch.Tensor(lm_tokens) if not self.use_cls_special: task_type_ids[i] = candidates["task"] attention_mask[i, :lens] = 1 ntokens += lens id_[i] = candidates["id"] id_[i] = candidates["id"] batch = { 'id': id_, 'nsentences': batch, "ntokens": ntokens, 'net_input': { 'input_tokens': input_ids, 'task_type_ids': task_type_ids, 'attention_mask': attention_mask, 'clm': True }, 'target': lm_labels, 'nsp_labels': nsp_labels } return batch class MLMDataset(data.Dataset): def __init__(self, path, tokenizer, batch_size, max_tokens, world_size=1, max_lens=510, seed=512, mask_lm_prob=0.15, max_preds_per_seq=80, no_cache=False, drop_first_token=False, use_task_embed=False): self.a_size = None self.b_size = None self.tokenizer = tokenizer self.vocab_words = list(self.tokenizer.text_token_vocab.values()) self.world_size = world_size self.mask_lm_prob = mask_lm_prob self.max_preds_per_seq = max_preds_per_seq self.batch_size = batch_size self.max_tokens = max_tokens self.max_lens = max_lens self.no_cache = no_cache self.drop_token = drop_first_token self.use_task_embed = use_task_embed self.seed = seed self.data = self.read_data(path) self.sizes = self.data.sizes self.padding = tokenizer.pad() self.frozen_indices = self.init_data_indices() self.frozen_batch = self.fill_batch(list(self.batch_by_size())) @property def supports_prefetch(self): if self.data.supports_prefetch: return True else: return False def prefetch(self, indices): if self.supports_prefetch: self.data.prefetch(indices) print("| Fetch all data into memory") def fill_batch(self, batches): b_size = len(batches) rng = random.Random(self.seed) rng.shuffle(batches) fill_num = self.world_size - b_size % self.world_size if fill_num == self.world_size: return batches batches.extend(batches[-fill_num:]) assert len(batches) % self.world_size == 0 return batches def index_len(self): return len(self.sizes) def read_data(self, path): if self.no_cache: data = indexed_dataset.IndexedDataset(path, fix_lua_indexing=True) else: data = indexed_dataset.IndexedCachedDataset(path, fix_lua_indexing=True) return data def init_data_indices(self): return self.ordered_indices() def filter_by_size(self, indices): ignore = [] error = [] for ind in indices: size = self.num_tokens(ind) if size > self.max_lens: ignore.append(ind) else: yield ind if len(ignore) > 0: print( "WARNING: {} samples have invalid sizes and will be skipped, max-qa-len={}, first few sample ids={}".format( len(ignore), self.max_lens, ignore[:10])) if len(error) > 0: print( "WARNING: {} samples have too small size and will be skipped, first few sample ids={}".format( len(error), error[:10])) def __len__(self): return len(self.frozen_indices) def ordered_indices(self): """Return an ordered list of indices. Batches will be constructed based on this order.""" with numpy_seed(self.seed): indices = np.random.permutation(len(self.data)) lens = [] for inx_a in indices: lens.append(self.num_tokens(inx_a)) indices = indices[np.argsort(np.array(lens), kind='mergesort')] indices = list(self.filter_by_size(indices)) return indices def num_tokens(self, idx): return self.sizes[idx] def batch_by_size(self): max_tokens = self.max_tokens # n_gpu = self.n_gpu indices = self.frozen_indices batch = [] tokens = 0 def is_batch_full(num_tokens): if len(batch) == 0: return False if num_tokens > max_tokens: return True # if len(batch) == self.batch_size: # return True return False for idx in indices: idx_max_token = self.num_tokens(idx) tokens = max(tokens, idx_max_token) if is_batch_full(tokens * (len(batch) + 1)): yield batch batch = [] tokens = 0 batch.append(idx) if len(batch) >= 1: yield batch def __getitem__(self, idx): rng = random.Random(int(idx)) tokens = self.data[idx].tolist() if self.use_task_embed: assert not self.drop_token task_type = None if self.use_task_embed: task_type = tokens[0] tokens = tokens[1:] if self.drop_token: tokens = tokens[1:] tokens, mask, mask_labels = self.create_masked_lm_predictions(tokens, self.mask_lm_prob, self.max_preds_per_seq, self.vocab_words, rng) assert len(tokens) == len(mask_labels) return {"id": int(idx), "tokens": tokens, "lm_labels": mask_labels, "ntokens": sum(mask), "task_type": task_type, "model-type": "MLM" } def create_masked_lm_predictions(self, tokens, mask_lm_prob, max_preds_per_seq, vocab_words, rng): token_sep = [self.tokenizer.sep()] token_cls = [self.tokenizer.cls()] tokens = token_cls + tokens + token_sep cand_indices = [idx for idx in range(1, len(tokens) - 1)] rng.shuffle(cand_indices) num_to_predict = min(max_preds_per_seq, max(1, int(round(len(tokens) * mask_lm_prob)))) mask = [0] * len(tokens) mask_labels = [-1] * len(tokens) for idx in cand_indices[:num_to_predict]: mask[idx] = 1 label = self.mask_token(idx, tokens, vocab_words, rng) mask_labels[idx] = label return tokens, mask, mask_labels def mask_token(self, idx, tokens, vocab_words, rng): label = tokens[idx] if rng.random() < 0.8: new_label = self.tokenizer.mask() else: if rng.random() < 0.5: new_label = label else: new_label = rng.choice(vocab_words) tokens[idx] = new_label return label def collate(self, samples): padding = self.tokenizer.pad() tensor_size = max([len(candidate["tokens"]) for candidate in samples]) batch = len(samples) input_ids = torch.LongTensor(batch, tensor_size).fill_(padding) task_type_ids = None if self.use_task_embed: task_type_ids = torch.LongTensor(batch, tensor_size).fill_(padding) attention_mask = torch.LongTensor(batch, tensor_size).fill_(0) lm_labels = torch.LongTensor(batch, tensor_size).fill_(-1) nsp_labels = torch.LongTensor(batch).fill_(-1) id_ = torch.LongTensor(batch).fill_(padding) ntokens = 0 for i, candidates in enumerate(samples): assert candidates["model-type"].lower() == "mlm" tokens = candidates["tokens"] task_type = candidates["task_type"] lm_tokens = candidates["lm_labels"] lens = len(tokens) input_ids[i, :lens] = torch.Tensor(tokens) if self.use_task_embed: task_type_ids[i] = task_type lm_labels[i, :lens] = torch.Tensor(lm_tokens) attention_mask[i, :lens] = 1 ntokens += candidates['ntokens'] id_[i] = candidates["id"] batch = { 'id': id_, 'nsentences': batch, "ntokens": ntokens, 'net_input': { 'input_tokens': input_ids, 'task_type_ids': task_type_ids, 'attention_mask': attention_mask, 'clm': False }, 'target': lm_labels, 'nsp_labels': nsp_labels } return batch class CLMDataset(data.Dataset): def __init__(self, path, tokenizer, batch_size, max_tokens, world_size=1, max_lens=510, seed=512, no_cache=False, drop_first_token=False): self.sizes = None self.tokenizer = tokenizer self.batch_size = batch_size self.max_tokens = max_tokens self.world_size = world_size self.max_lens = max_lens self.seed = seed + 20 self.no_cache = no_cache self.drop_token = drop_first_token self.data = self.read_data(path) self.padding = tokenizer.pad() self.frozen_indices = self.init_data_indices() self.frozen_batch = self.fill_batch(list(self.batch_by_size())) @property def supports_prefetch(self): if self.data.supports_prefetch: return True else: return False def prefetch(self, indices): if self.supports_prefetch: self.data.prefetch(indices) print("| Fetch all data into memory") def fill_batch(self, batches): size = len(batches) rng = random.Random(self.seed) rng.shuffle(batches) fill_num = self.world_size - size % self.world_size if fill_num == self.world_size: return batches batches.extend(batches[-fill_num:]) assert len(batches) % self.world_size == 0 return batches def index_len(self): return len(self.data) def read_data(self, path): if self.no_cache: data = indexed_dataset.IndexedDataset(path, fix_lua_indexing=True) else: data = indexed_dataset.IndexedCachedDataset(path, fix_lua_indexing=True) self.sizes = data.sizes return data def init_data_indices(self): return self.ordered_indices() def filter_by_size(self, indices): ignore = [] to_samll = [] for ind in indices: size = self.num_tokens(ind) if size > self.max_lens: ignore.append(ind) elif size < 10: to_samll.append(ind) else: yield ind if len(ignore) > 0: print( "WARNING: {} samples have invalid sizes and will be skipped, max-qa-len={}, first few sample ids={}".format( len(ignore), self.max_lens, ignore[:10])) if len(to_samll) > 0: print( "WARNING: {} samples have invalid sizes and will be skipped, min-qa-len={}, first few sample ids={}".format( len(to_samll), 10, to_samll[:10])) def __len__(self): return len(self.frozen_indices) def ordered_indices(self): """Return an ordered list of indices. Batches will be constructed based on this order.""" with numpy_seed(self.seed): indices = np.random.permutation(len(self.data)) lens = [] for inx_a in indices: lens.append(self.num_tokens(inx_a)) indices = indices[np.argsort(np.array(lens), kind='mergesort')] indices = list(self.filter_by_size(indices)) return indices def num_tokens(self, idx): return self.sizes[idx] def batch_by_size(self): max_tokens = self.max_tokens indices = self.frozen_indices batch = [] tokens = 0 def is_batch_full(num_tokens): if len(batch) == 0: return False if num_tokens > max_tokens: return True # if len(batch) == self.batch_size: # return True return False for idx in indices: idx_max_token = self.num_tokens(idx) tokens = max(tokens, idx_max_token) if is_batch_full(tokens * (len(batch) + 1)): yield batch batch = [] tokens = 0 batch.append(idx) if len(batch) >= 1: yield batch def __getitem__(self, idx): tokens = self.data[idx].tolist() if self.drop_token: tokens = tokens[1:] token_sep = [self.tokenizer.sep()] token_cls = [self.tokenizer.cls()] lm_labels = tokens + token_sep tokens = token_cls + tokens assert len(tokens) == len(lm_labels) return {"id": int(idx), "tokens": tokens, "lm_labels": lm_labels, "model-type": "CLM" } def collate(self, samples): padding = self.tokenizer.pad() tensor_size = max([len(candidate["tokens"]) for candidate in samples]) batch = len(samples) input_ids = torch.LongTensor(batch, tensor_size).fill_(padding) attention_mask = torch.LongTensor(batch, tensor_size).fill_(0) lm_labels = torch.LongTensor(batch, tensor_size).fill_(-1) nsp_labels = torch.LongTensor(batch).fill_(-1) id_ = torch.LongTensor(batch).fill_(padding) ntokens = 0 for i, candidates in enumerate(samples): assert candidates["model-type"].lower() == "clm" tokens = candidates["tokens"] lm_tokens = candidates["lm_labels"] lens = len(tokens) input_ids[i, :lens] = torch.Tensor(tokens) lm_labels[i, :lens] = torch.Tensor(lm_tokens) attention_mask[i, :lens] = 1 ntokens += lens id_[i] = candidates["id"] id_[i] = candidates["id"] batch = { 'id': id_, 'nsentences': batch, "ntokens": ntokens, 'net_input': { 'input_tokens': input_ids, 'attention_mask': attention_mask, 'clm': True }, 'target': lm_labels, 'nsp_labels': nsp_labels } return batch class BertPairDataset(data.Dataset): def __init__(self, path, tokenizer, batch_size, max_tokens, world_size=1, max_lens=510, seed=512, mask_lm_prob=0.15, max_preds_per_seq=80, no_cache=False): self.a_size = None self.b_size = None self.tokenizer = tokenizer self.vocab_words = list(self.tokenizer.text_token_vocab.values()) self.world_size = world_size self.mask_lm_prob = mask_lm_prob self.max_preds_per_seq = max_preds_per_seq self.batch_size = batch_size self.max_tokens = max_tokens self.max_lens = max_lens self.no_cache = no_cache self.seed = seed self.data = self.read_data(path) self.padding = tokenizer.pad() self.frozen_indices = self.init_data_indices() # if self.data[0].supports_prefetch and self.data[1].supports_prefetch: # self.data[0].prefetch(self.frozen_indices) # self.data[1].prefetch(self.frozen_indices) self.frozen_batch = self.fill_batch(list(self.batch_by_size())) @property def supports_prefetch(self): if self.data[0].supports_prefetch and self.data[1].supports_prefetch: return True else: return False def prefetch(self, indices): if self.supports_prefetch: self.data[0].prefetch(indices) self.data[1].prefetch(indices) print("| Fetch all data into memory") def fill_batch(self, batches): b_size = len(batches) rng = random.Random(self.seed) rng.shuffle(batches) fill_num = self.world_size - b_size % self.world_size if fill_num == self.world_size: return batches batches.extend(batches[-fill_num:]) assert len(batches) % self.world_size == 0 return batches def index_len(self): return len(self.a_size) def read_data(self, path): A_path = path + "-A" B_path = path + "-B" if self.no_cache: A_data = indexed_dataset.IndexedDataset(A_path, fix_lua_indexing=True) B_data = indexed_dataset.IndexedDataset(B_path, fix_lua_indexing=True) else: A_data = indexed_dataset.IndexedCachedDataset(A_path, fix_lua_indexing=True) B_data = indexed_dataset.IndexedCachedDataset(B_path, fix_lua_indexing=True) self.a_size = A_data.sizes self.b_size = B_data.sizes return (A_data, B_data) def init_data_indices(self): return self.ordered_indices() def filter_by_size(self, indices): ignore = [] error = [] for ind in indices: size = self.num_tokens(ind) a_size = self.a_size[ind] b_size = self.b_size[ind] if size > self.max_lens: ignore.append(ind) elif a_size <= 1 or b_size < 1: error.append(ind) else: yield ind if len(ignore) > 0: print( "WARNING: {} samples have invalid sizes and will be skipped, max-qa-len={}, first few sample ids={}".format( len(ignore), self.max_lens, ignore[:10])) if len(error) > 0: print( "WARNING: {} samples have too small size and will be skipped, first few sample ids={}".format( len(error), error[:10])) def __len__(self): return len(self.frozen_indices) def ordered_indices(self): """Return an ordered list of indices. Batches will be constructed based on this order.""" with numpy_seed(self.seed): indices = np.random.permutation(len(self.data[0])) lens = [] for inx_a in indices: lens.append(self.num_tokens(inx_a)) indices = indices[np.argsort(np.array(lens), kind='mergesort')] indices = list(self.filter_by_size(indices)) return indices def num_tokens(self, idx): return self.a_size[idx] + self.b_size[idx] def batch_by_size(self): max_tokens = self.max_tokens # n_gpu = self.n_gpu indices = self.frozen_indices batch = [] tokens = 0 def is_batch_full(num_tokens): if len(batch) == 0: return False if num_tokens > max_tokens: return True # if len(batch) == self.batch_size: # return True return False for idx in indices: idx_max_token = self.num_tokens(idx) tokens = max(tokens, idx_max_token) if is_batch_full(tokens * (len(batch) + 1)): yield batch batch = [] tokens = 0 batch.append(idx) if len(batch) >= 1: yield batch def __getitem__(self, idx): rng = random.Random(int(idx)) tokens_a = self.data[0][idx].tolist() tokens_b = self.data[1][idx].tolist() type = tokens_a[0] tokens_a = tokens_a[1:] tokens, token_type, mask, mask_labels = self.create_masked_lm_predictions(tokens_a, tokens_b, type, self.mask_lm_prob, self.max_preds_per_seq, self.vocab_words, rng) assert len(tokens) == len(token_type) return {"id": int(idx), "tokens": tokens, "tokens_type": token_type, "lm_labels": mask_labels, "ntokens": sum(mask), "data-type": type, "model-type": "MLM" } def create_masked_lm_predictions(self, a, b, type, mask_lm_prob, max_preds_per_seq, vocab_words, rng): token_sep = [self.tokenizer.sep()] token_cls = [self.tokenizer.cls()] tokens = token_cls + a + token_sep + b + token_sep type_a = [0] * len(a) if type == 0 or type == 1: type_b = [1] * len(b) else: type_b = [0] * len(b) token_type = [type_a[0]] + type_a + [type_a[0]] + type_b + [type_b[0]] assert len(token_type) == len(tokens) cand_indices = [idx + 1 for idx in range(len(a))] + [idx + 2 + len(a) for idx in range(len(b))] rng.shuffle(cand_indices) num_to_predict = min(max_preds_per_seq, max(1, int(round(len(tokens) * mask_lm_prob)))) mask = [0] * len(tokens) mask_labels = [-1] * len(tokens) for idx in cand_indices[:num_to_predict]: mask[idx] = 1 label = self.mask_token(idx, tokens, vocab_words, rng) mask_labels[idx] = label return tokens, token_type, mask, mask_labels def mask_token(self, idx, tokens, vocab_words, rng): label = tokens[idx] if rng.random() < 0.8: new_label = self.tokenizer.mask() else: if rng.random() < 0.5: new_label = label else: new_label = rng.choice(vocab_words) tokens[idx] = new_label return label def collate(self, samples): padding = self.tokenizer.pad() tensor_size = max([len(candidate["tokens"]) for candidate in samples]) batch = len(samples) input_ids = torch.LongTensor(batch, tensor_size).fill_(padding) token_type_ids = torch.LongTensor(batch, tensor_size).fill_(padding) attention_mask = torch.LongTensor(batch, tensor_size).fill_(0) lm_labels = torch.LongTensor(batch, tensor_size).fill_(-1) nsp_labels = torch.LongTensor(batch).fill_(-1) id_ = torch.LongTensor(batch).fill_(padding) ntokens = 0 for i, candidates in enumerate(samples): assert candidates["model-type"].lower() == "mlm" tokens = candidates["tokens"] types = candidates["tokens_type"] lm_tokens = candidates["lm_labels"] lens = len(tokens) input_ids[i, :lens] = torch.Tensor(tokens) token_type_ids[i, :lens] = torch.Tensor(types) lm_labels[i, :lens] = torch.Tensor(lm_tokens) attention_mask[i, :lens] = 1 nsp_labels[i] = candidates["data-type"] ntokens += candidates['ntokens'] id_[i] = candidates["id"] batch = { 'id': id_, 'nsentences': batch, "ntokens": ntokens, 'net_input': { 'input_tokens': input_ids, 'token_type_ids': token_type_ids, 'attention_mask': attention_mask, 'clm': False }, 'target': lm_labels, 'nsp_labels': nsp_labels } return batch def get_dummy_batch(self): bsz = 2 src_len = 20 return self.collate([ { 'id': i, 'Q': torch.Tensor(src_len).uniform_(2, 20).long().tolist(), 'A': torch.Tensor(src_len).uniform_(2, 20).long().tolist(), 'style': 0 } for i in range(bsz) ]) class GPTDataset(data.Dataset): def __init__(self, path, tokenizer, batch_size, max_tokens, world_size=1, max_lens=510, seed=512, no_cache=False): self.a_size = None self.b_size = None self.tokenizer = tokenizer self.batch_size = batch_size self.max_tokens = max_tokens self.world_size = world_size self.max_lens = max_lens self.seed = seed self.no_cache = no_cache self.data = self.read_data(path) self.padding = tokenizer.pad() self.frozen_indices = self.init_data_indices() self.frozen_batch = self.fill_batch(list(self.batch_by_size())) @property def supports_prefetch(self): if self.data[0].supports_prefetch and self.data[1].supports_prefetch: return True else: return False def prefetch(self, indices): if self.supports_prefetch: self.data[0].prefetch(indices) self.data[1].prefetch(indices) print("| Fetch all data into memory") def fill_batch(self, batches): b_size = len(batches) rng = random.Random(self.seed) rng.shuffle(batches) fill_num = self.world_size - b_size % self.world_size if fill_num == self.world_size: return batches batches.extend(batches[-fill_num:]) assert len(batches) % self.world_size == 0 return batches def index_len(self): return len(self.a_size) def read_data(self, path): A_path = path + "-A" B_path = path + "-B" if self.no_cache: A_data = indexed_dataset.IndexedDataset(A_path, fix_lua_indexing=True) B_data = indexed_dataset.IndexedDataset(B_path, fix_lua_indexing=True) else: A_data = indexed_dataset.IndexedCachedDataset(A_path, fix_lua_indexing=True) B_data = indexed_dataset.IndexedCachedDataset(B_path, fix_lua_indexing=True) self.a_size = A_data.sizes self.b_size = B_data.sizes return (A_data, B_data) def init_data_indices(self): return self.ordered_indices() def filter_by_size(self, indices): ignore = [] for ind in indices: size = self.num_tokens(ind) if size > self.max_lens: ignore.append(ind) else: yield ind if len(ignore) > 0: print( "WARNING: {} samples have invalid sizes and will be skipped, max-qa-len={}, first few sample ids={}".format( len(ignore), self.max_lens, ignore[:10])) def __len__(self): return len(self.frozen_indices) def ordered_indices(self): """Return an ordered list of indices. Batches will be constructed based on this order.""" with numpy_seed(self.seed): indices = np.random.permutation(len(self.data[0])) lens = [] for inx_a in indices: lens.append(self.num_tokens(inx_a)) indices = indices[np.argsort(np.array(lens), kind='mergesort')] indices = list(self.filter_by_size(indices)) return indices def num_tokens(self, idx): return self.a_size[idx] + self.b_size[idx] def batch_by_size(self): max_tokens = self.max_tokens indices = self.frozen_indices batch = [] tokens = 0 def is_batch_full(num_tokens): if len(batch) == 0: return False if num_tokens > max_tokens: return True # if len(batch) == self.batch_size: # return True return False for idx in indices: idx_max_token = self.num_tokens(idx) tokens = max(tokens, idx_max_token) if is_batch_full(tokens * (len(batch) + 1)): yield batch batch = [] tokens = 0 batch.append(idx) if len(batch) >= 1: yield batch def __getitem__(self, idx): tokens_a = self.data[0][idx].tolist() tokens_b = self.data[1][idx].tolist() token_sep = [self.tokenizer.sep()] token_cls = [self.tokenizer.cls()] tokens = token_cls + tokens_a + token_sep + tokens_b lm_labels = tokens_a + token_sep + tokens_b + token_sep assert len(tokens) == len(lm_labels) return {"id": int(idx), "tokens": tokens, "lm_labels": lm_labels, "model-type": "CLM" } def collate(self, samples): padding = self.tokenizer.pad() tensor_size = max([len(candidate["tokens"]) for candidate in samples]) batch = len(samples) input_ids = torch.LongTensor(batch, tensor_size).fill_(padding) attention_mask = torch.LongTensor(batch, tensor_size).fill_(0) lm_labels = torch.LongTensor(batch, tensor_size).fill_(-1) nsp_labels = torch.LongTensor(batch).fill_(-1) id_ = torch.LongTensor(batch).fill_(padding) ntokens = 0 for i, candidates in enumerate(samples): assert candidates["model-type"].lower() == "clm" tokens = candidates["tokens"] lm_tokens = candidates["lm_labels"] lens = len(tokens) input_ids[i, :lens] = torch.Tensor(tokens) lm_labels[i, :lens] = torch.Tensor(lm_tokens) attention_mask[i, :lens] = 1 ntokens += lens id_[i] = candidates["id"] id_[i] = candidates["id"] batch = { 'id': id_, 'nsentences': batch, "ntokens": ntokens, 'net_input': { 'input_tokens': input_ids, 'attention_mask': attention_mask, 'clm': True }, 'target': lm_labels, 'nsp_labels': nsp_labels } return batch class FuseDataset(data.Dataset): def __init__(self, dataload_a, dataload_b, world_size=1, seed=1): self.dataload_a = dataload_a self.dataload_b = dataload_b self.world_size = world_size self.lens_a = dataload_a.index_len() self.init_seed = seed + 256 self.fuse_lens = len(dataload_a) + len(dataload_b) self.frozen_batch = self.init_batch() @property def supports_prefetch(self): if self.dataload_a.supports_prefetch and self.dataload_b.supports_prefetch: return True else: return False def prefetch(self, indices): if not self.dataload_a.supports_prefetch or not self.dataload_b.supports_prefetch: return a_indices = [] b_indices = [] for idx in indices: if idx >= self.lens_a: idx -= self.lens_a b_indices.append(idx) else: a_indices.append(idx) self.dataload_a.prefetch(a_indices) self.dataload_b.prefetch(b_indices) def init_batch(self): rng = random.Random(self.init_seed) batch_a = self.dataload_a.frozen_batch batch_b = self.dataload_b.frozen_batch rng.shuffle(batch_a) rng.shuffle(batch_b) lens_a = self.lens_a fake_b = [] for b in batch_b: fake_b.append([i + lens_a for i in b]) batch_a.extend(fake_b) return self.shuffle_by_size(batch_a, rng) def shuffle_by_size(self, batches, rng): assert len(batches) % self.world_size == 0 rand_size = len(batches) // self.world_size indices = list(range(rand_size)) rng.shuffle(indices) new_batches = [] for idx in indices: new_batches.extend(batches[idx * self.world_size:(idx + 1) * self.world_size]) assert len(new_batches) == len(batches) return new_batches @classmethod def load_dataset(self, tokenizer, args): train_path = args.data train_prefix = args.train_prefix valid_prefix = args.valid_prefix max_lens = args.max_lens valid_data = [] for valid_file in valid_prefix.split(","): path = os.path.join(train_path, valid_file) if "MLM" in valid_file: valid_data.append( BertPairDataset(path, tokenizer, args.valid_batch, args.max_tokens, world_size=args.world_size, max_lens=max_lens, mask_lm_prob=args.mask_lm_prob, max_preds_per_seq=args.max_preds_per_seq, no_cache=args.no_cache)) else: valid_data.append( GPTDataset(path, tokenizer, args.valid_batch, args.max_tokens, world_size=args.world_size, max_lens=max_lens, no_cache=args.no_cache)) train_mlm = os.path.join(train_path, train_prefix + "MLM") train_clm = os.path.join(train_path, train_prefix + "CLM") mlm_data = BertPairDataset(train_mlm, tokenizer, args.train_batch, args.max_tokens, world_size=args.world_size, max_lens=max_lens, mask_lm_prob=args.mask_lm_prob, max_preds_per_seq=args.max_preds_per_seq, no_cache=args.no_cache) clm_data = GPTDataset(train_clm, tokenizer, args.train_batch, args.max_tokens, world_size=args.world_size, max_lens=max_lens, no_cache=args.no_cache) train_loader = FuseDataset(mlm_data, clm_data) return train_loader, valid_data @classmethod def load_dataset_no_nsp(self, tokenizer, args): # pdb.set_trace() print("| Load dataset with no nsp loss") use_task_embed = args.use_task_embed if use_task_embed: print("| Training with task embedding") else: print("| Training with no task embedding") train_path = args.data train_prefix = args.train_prefix valid_prefix = args.valid_prefix max_lens = args.max_lens valid_data = [] for valid_file in valid_prefix.split(","): path = os.path.join(train_path, valid_file) if "MLM" in valid_file: valid_data.append( MLMDataset(path, tokenizer, args.valid_batch, args.max_tokens, world_size=args.world_size, max_lens=max_lens, mask_lm_prob=args.mask_lm_prob, max_preds_per_seq=args.max_preds_per_seq, no_cache=args.no_cache, drop_first_token=args.drop_first_token, use_task_embed=args.use_task_embed)) else: if use_task_embed: valid_data.append( CLMTaskDataset(path, tokenizer, args.train_batch, args.max_tokens, world_size=args.world_size, max_lens=args.max_lens, no_cache=args.no_cache)) else: valid_data.append( CLMDataset(path, tokenizer, args.valid_batch, args.max_tokens, world_size=args.world_size, max_lens=max_lens, no_cache=args.no_cache, drop_first_token=args.drop_first_token)) train_mlm = os.path.join(train_path, train_prefix + "MLM") train_clm = os.path.join(train_path, train_prefix + "CLM") mlm_data = MLMDataset(train_mlm, tokenizer, args.train_batch, args.max_tokens, world_size=args.world_size, max_lens=max_lens, mask_lm_prob=args.mask_lm_prob, max_preds_per_seq=args.max_preds_per_seq, no_cache=args.no_cache, drop_first_token=args.drop_first_token, use_task_embed=args.use_task_embed) if use_task_embed: clm_data = CLMTaskDataset(train_clm, tokenizer, args.train_batch, args.max_tokens, world_size=args.world_size, max_lens=args.max_lens, no_cache=args.no_cache) else: clm_data = CLMDataset(train_clm, tokenizer, args.valid_batch, args.max_tokens, world_size=args.world_size, max_lens=max_lens, no_cache=args.no_cache, drop_first_token=args.drop_first_token) train_loader = FuseDataset(mlm_data, clm_data) return train_loader, valid_data def __len__(self): return len(self.frozen_batch) def __getitem__(self, idx): if idx >= self.lens_a: idx -= self.lens_a return self.dataload_b[idx] else: return self.dataload_a[idx] def collate(self, samples): data_type = samples[0]["model-type"] if data_type.lower() == "mlm": return self.dataload_a.collate(samples) else: return self.dataload_b.collate(samples) class FuseSampler(object): def __init__(self, dataset, num_shards, shard_id): if num_shards > 1 and shard_id < 0 or shard_id >= num_shards: raise ValueError('shard_id must be between 0 and num_shards') if num_shards == 1: shard_id = 0 batches = dataset.frozen_batch self._sharded_len = len(batches) // num_shards # iterable = batches[:self._sharded_len*num_shards] iterable = batches[shard_id::num_shards] indices = [] for batch in iterable: indices.extend(batch) dataset.prefetch(indices) self.itr = [item[1] for item in list(itertools.zip_longest( range(self._sharded_len), iterable, ))] def __len__(self): return self._sharded_len def __iter__(self): return iter(self.itr) def __next__(self): return next(self.itr)[1]

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Python

boa3_test/tests/examples_tests/test_NEP17.py

DanPopa46/neo3-boa

e4ef340744b5bd25ade26f847eac50789b97f3e9

[ "Apache-2.0" ]

null

boa3_test/tests/examples_tests/test_NEP17.py

DanPopa46/neo3-boa

e4ef340744b5bd25ade26f847eac50789b97f3e9

[ "Apache-2.0" ]

null

boa3_test/tests/examples_tests/test_NEP17.py

DanPopa46/neo3-boa

e4ef340744b5bd25ade26f847eac50789b97f3e9

[ "Apache-2.0" ]

null

import unittest from boa3.boa3 import Boa3 from boa3.constants import GAS_SCRIPT, NEO_SCRIPT from boa3.neo import to_script_hash from boa3.neo.cryptography import hash160 from boa3.neo.vm.type.String import String from boa3_test.tests.boa_test import BoaTest from boa3_test.tests.test_classes.TestExecutionException import TestExecutionException from boa3_test.tests.test_classes.testengine import TestEngine class TestNEP17Template(BoaTest): default_folder: str = 'examples' OWNER_SCRIPT_HASH = bytes(20) OTHER_ACCOUNT_1 = to_script_hash(b'NiNmXL8FjEUEs1nfX9uHFBNaenxDHJtmuB') OTHER_ACCOUNT_2 = bytes(range(20)) def test_nep17_compile(self): path = self.get_contract_path('NEP17.py') Boa3.compile(path) def test_nep17_deploy(self): path = self.get_contract_path('NEP17.py') engine = TestEngine() # needs the owner signature result = self.run_smart_contract(engine, path, method='deploy', expected_result_type=bool) self.assertEqual(False, result) # should return false if the signature isn't from the owner result = self.run_smart_contract(engine, path, 'deploy', signer_accounts=[self.OTHER_ACCOUNT_1], expected_result_type=bool) self.assertEqual(False, result) result = self.run_smart_contract(engine, path, 'deploy', signer_accounts=[self.OWNER_SCRIPT_HASH], expected_result_type=bool) self.assertEqual(True, result) # must always return false after first execution result = self.run_smart_contract(engine, path, 'deploy', signer_accounts=[self.OWNER_SCRIPT_HASH], expected_result_type=bool) self.assertEqual(False, result) def test_nep17_symbol(self): path = self.get_contract_path('NEP17.py') engine = TestEngine() result = self.run_smart_contract(engine, path, 'symbol') self.assertEqual('NEP17', result) def test_nep17_decimals(self): path = self.get_contract_path('NEP17.py') engine = TestEngine() result = self.run_smart_contract(engine, path, 'decimals') self.assertEqual(8, result) def test_nep17_total_supply(self): total_supply = 10_000_000 * 10 ** 8 path = self.get_contract_path('NEP17.py') engine = TestEngine() result = self.run_smart_contract(engine, path, 'totalSupply') self.assertEqual(0, result) result = self.run_smart_contract(engine, path, 'deploy', signer_accounts=[self.OWNER_SCRIPT_HASH], expected_result_type=bool) self.assertEqual(True, result) result = self.run_smart_contract(engine, path, 'totalSupply') self.assertEqual(total_supply, result) def test_nep17_total_balance_of(self): total_supply = 10_000_000 * 10 ** 8 path = self.get_contract_path('NEP17.py') engine = TestEngine() result = self.run_smart_contract(engine, path, 'balanceOf', self.OWNER_SCRIPT_HASH) self.assertEqual(0, result) result = self.run_smart_contract(engine, path, 'deploy', signer_accounts=[self.OWNER_SCRIPT_HASH], expected_result_type=bool) self.assertEqual(True, result) result = self.run_smart_contract(engine, path, 'balanceOf', self.OWNER_SCRIPT_HASH) self.assertEqual(total_supply, result) # should fail when the script length is not 20 with self.assertRaises(TestExecutionException, msg=self.ASSERT_RESULTED_FALSE_MSG): self.run_smart_contract(engine, path, 'balanceOf', bytes(10)) with self.assertRaises(TestExecutionException, msg=self.ASSERT_RESULTED_FALSE_MSG): self.run_smart_contract(engine, path, 'balanceOf', bytes(30)) @unittest.skip('Examples need to be changed to test with the latest Neo version') def test_nep17_total_transfer(self): transferred_amount = 10 * 10 ** 8 # 10 tokens path = self.get_contract_path('NEP17.py') engine = TestEngine() # should fail before running deploy result = self.run_smart_contract(engine, path, 'transfer', self.OWNER_SCRIPT_HASH, self.OTHER_ACCOUNT_1, transferred_amount, None, expected_result_type=bool) self.assertEqual(False, result) result = self.run_smart_contract(engine, path, 'deploy', signer_accounts=[self.OWNER_SCRIPT_HASH], expected_result_type=bool) self.assertEqual(True, result) # should fail if the sender doesn't sign result = self.run_smart_contract(engine, path, 'transfer', self.OWNER_SCRIPT_HASH, self.OTHER_ACCOUNT_1, transferred_amount, None, expected_result_type=bool) self.assertEqual(False, result) # should fail if the sender doesn't have enough balance result = self.run_smart_contract(engine, path, 'transfer', self.OTHER_ACCOUNT_1, self.OWNER_SCRIPT_HASH, transferred_amount, None, signer_accounts=[self.OTHER_ACCOUNT_1], expected_result_type=bool) self.assertEqual(False, result) # should fail when any of the scripts' length is not 20 with self.assertRaises(TestExecutionException, msg=self.ASSERT_RESULTED_FALSE_MSG): self.run_smart_contract(engine, path, 'transfer', self.OWNER_SCRIPT_HASH, bytes(10), transferred_amount, "") with self.assertRaises(TestExecutionException, msg=self.ASSERT_RESULTED_FALSE_MSG): self.run_smart_contract(engine, path, 'transfer', bytes(10), self.OTHER_ACCOUNT_1, transferred_amount, "") # should fail when the amount is less than 0 with self.assertRaises(TestExecutionException, msg=self.ASSERT_RESULTED_FALSE_MSG): self.run_smart_contract(engine, path, 'transfer', self.OTHER_ACCOUNT_1, self.OWNER_SCRIPT_HASH, -10, None) # fire the transfer event when transferring to yourself balance_before = self.run_smart_contract(engine, path, 'balanceOf', self.OWNER_SCRIPT_HASH) result = self.run_smart_contract(engine, path, 'transfer', self.OWNER_SCRIPT_HASH, self.OWNER_SCRIPT_HASH, transferred_amount, None, signer_accounts=[self.OWNER_SCRIPT_HASH], expected_result_type=bool) self.assertEqual(True, result) transfer_events = engine.get_events('Transfer') self.assertEqual(1, len(transfer_events)) self.assertEqual(3, len(transfer_events[0].arguments)) sender, receiver, amount = transfer_events[0].arguments if isinstance(sender, str): sender = String(sender).to_bytes() if isinstance(receiver, str): receiver = String(receiver).to_bytes() self.assertEqual(self.OWNER_SCRIPT_HASH, sender) self.assertEqual(self.OWNER_SCRIPT_HASH, receiver) self.assertEqual(transferred_amount, amount) # transferring to yourself doesn't change the balance balance_after = self.run_smart_contract(engine, path, 'balanceOf', self.OWNER_SCRIPT_HASH) self.assertEqual(balance_before, balance_after) # does fire the transfer event balance_sender_before = self.run_smart_contract(engine, path, 'balanceOf', self.OWNER_SCRIPT_HASH) balance_receiver_before = self.run_smart_contract(engine, path, 'balanceOf', self.OTHER_ACCOUNT_1) result = self.run_smart_contract(engine, path, 'transfer', self.OWNER_SCRIPT_HASH, self.OTHER_ACCOUNT_1, transferred_amount, None, signer_accounts=[self.OWNER_SCRIPT_HASH], expected_result_type=bool) self.assertEqual(True, result) transfer_events = engine.get_events('Transfer') self.assertEqual(1, len(transfer_events)) self.assertEqual(3, len(transfer_events[0].arguments)) sender, receiver, amount = transfer_events[0].arguments if isinstance(sender, str): sender = String(sender).to_bytes() if isinstance(receiver, str): receiver = String(receiver).to_bytes() self.assertEqual(self.OWNER_SCRIPT_HASH, sender) self.assertEqual(self.OTHER_ACCOUNT_1, receiver) self.assertEqual(transferred_amount, amount) # transferring to someone other than yourself does change the balance balance_sender_after = self.run_smart_contract(engine, path, 'balanceOf', self.OWNER_SCRIPT_HASH) balance_receiver_after = self.run_smart_contract(engine, path, 'balanceOf', self.OTHER_ACCOUNT_1) self.assertEqual(balance_sender_before - transferred_amount, balance_sender_after) self.assertEqual(balance_receiver_before + transferred_amount, balance_receiver_after) @unittest.skip('Examples need to be changed to test with the latest Neo version') def test_nep17_onPayment(self): transferred_amount = 10 * 10 ** 8 # 10 tokens path = self.get_contract_path('NEP17.py') engine = TestEngine() engine.add_contract(path.replace('.py', '.nef')) output, manifest = self.compile_and_save(path) nep17_address = hash160(output) result = self.run_smart_contract(engine, path, 'deploy', signer_accounts=[self.OWNER_SCRIPT_HASH], expected_result_type=bool) self.assertEqual(True, result) engine.add_neo(self.OWNER_SCRIPT_HASH, transferred_amount) engine.add_gas(self.OWNER_SCRIPT_HASH, transferred_amount) # transferring NEO to the smart contract # saving the balance before the transfer to be able to compare after it neo_balance_sender_before = self.run_smart_contract(engine, NEO_SCRIPT, 'balanceOf', self.OWNER_SCRIPT_HASH) neo_balance_nep17_before = self.run_smart_contract(engine, NEO_SCRIPT, 'balanceOf', nep17_address) nep17_balance_sender_before = self.run_smart_contract(engine, path, 'balanceOf', self.OWNER_SCRIPT_HASH) result = self.run_smart_contract(engine, NEO_SCRIPT, 'transfer', self.OWNER_SCRIPT_HASH, nep17_address, transferred_amount, None, signer_accounts=[self.OWNER_SCRIPT_HASH], expected_result_type=bool) self.assertEqual(True, result) transfer_events = engine.get_events('Transfer') self.assertEqual(2, len(transfer_events)) self.assertEqual(3, len(transfer_events[0].arguments)) self.assertEqual(3, len(transfer_events[1].arguments)) # this is the event NEO emitted sender, receiver, amount = transfer_events[0].arguments if isinstance(sender, str): sender = String(sender).to_bytes() if isinstance(receiver, str): receiver = String(receiver).to_bytes() self.assertEqual(self.OWNER_SCRIPT_HASH, sender) self.assertEqual(nep17_address, receiver) self.assertEqual(transferred_amount, amount) # this is the event NEP17 emitted sender, receiver, amount = transfer_events[1].arguments if isinstance(sender, str): sender = String(sender).to_bytes() if isinstance(receiver, str): receiver = String(receiver).to_bytes() self.assertEqual(None, sender) self.assertEqual(self.OWNER_SCRIPT_HASH, receiver) # transferred_amount is multiplied by 10, because this smart contract is minting the NEO received self.assertEqual(transferred_amount * 10, amount) # saving the balance after the transfer to compare it with the previous data neo_balance_sender_after = self.run_smart_contract(engine, NEO_SCRIPT, 'balanceOf', self.OWNER_SCRIPT_HASH) neo_balance_nep17_after = self.run_smart_contract(engine, NEO_SCRIPT, 'balanceOf', nep17_address) nep17_balance_sender_after = self.run_smart_contract(engine, path, 'balanceOf', self.OWNER_SCRIPT_HASH) self.assertEqual(neo_balance_sender_before - transferred_amount, neo_balance_sender_after) self.assertEqual(neo_balance_nep17_before + transferred_amount, neo_balance_nep17_after) # transferred_amount is multiplied by 10, because this smart contract is minting the NEO received self.assertEqual(nep17_balance_sender_before + transferred_amount * 10, nep17_balance_sender_after) # transferring GAS to the smart contract # saving the balance before the transfer to be able to compare after it gas_balance_sender_before = self.run_smart_contract(engine, GAS_SCRIPT, 'balanceOf', self.OWNER_SCRIPT_HASH) gas_balance_nep17_before = self.run_smart_contract(engine, GAS_SCRIPT, 'balanceOf', nep17_address) nep17_balance_sender_before = self.run_smart_contract(engine, path, 'balanceOf', self.OWNER_SCRIPT_HASH) result = self.run_smart_contract(engine, GAS_SCRIPT, 'transfer', self.OWNER_SCRIPT_HASH, nep17_address, transferred_amount, None, signer_accounts=[self.OWNER_SCRIPT_HASH], expected_result_type=bool) self.assertEqual(True, result) transfer_events = engine.get_events('Transfer') self.assertEqual(2, len(transfer_events)) self.assertEqual(3, len(transfer_events[0].arguments)) self.assertEqual(3, len(transfer_events[1].arguments)) # this is the event GAS emitted sender, receiver, amount = transfer_events[0].arguments if isinstance(sender, str): sender = String(sender).to_bytes() if isinstance(receiver, str): receiver = String(receiver).to_bytes() self.assertEqual(self.OWNER_SCRIPT_HASH, sender) self.assertEqual(nep17_address, receiver) self.assertEqual(transferred_amount, amount) # this is the event NEP17 emitted sender, receiver, amount = transfer_events[1].arguments if isinstance(sender, str): sender = String(sender).to_bytes() if isinstance(receiver, str): receiver = String(receiver).to_bytes() self.assertEqual(None, sender) self.assertEqual(self.OWNER_SCRIPT_HASH, receiver) # transferred_amount is multiplied by 2, because this smart contract is minting the GAS received self.assertEqual(transferred_amount * 2, amount) # saving the balance after the transfer to compare it with the previous data gas_balance_sender_after = self.run_smart_contract(engine, GAS_SCRIPT, 'balanceOf', self.OWNER_SCRIPT_HASH) gas_balance_nep17_after = self.run_smart_contract(engine, GAS_SCRIPT, 'balanceOf', nep17_address) nep17_balance_sender_after = self.run_smart_contract(engine, path, 'balanceOf', self.OWNER_SCRIPT_HASH) self.assertEqual(gas_balance_sender_before - transferred_amount, gas_balance_sender_after) self.assertEqual(gas_balance_nep17_before + transferred_amount, gas_balance_nep17_after) # transferred_amount is multiplied by 2, because this smart contract is minting the GAS received self.assertEqual(nep17_balance_sender_before + transferred_amount * 2, nep17_balance_sender_after) # trying to call onNEP17Transfer() will result in an abort if the one calling it is not NEO or GAS contracts with self.assertRaises(TestExecutionException, msg=self.ABORTED_CONTRACT_MSG): self.run_smart_contract(engine, path, 'onNEP17Transfer', self.OWNER_SCRIPT_HASH, transferred_amount, None) def test_nep17_verify(self): path = self.get_contract_path('NEP17.py') engine = TestEngine() # should fail without signature result = self.run_smart_contract(engine, path, 'verify', expected_result_type=bool) self.assertEqual(False, result) # should fail if not signed by the owner result = self.run_smart_contract(engine, path, 'verify', signer_accounts=[self.OTHER_ACCOUNT_1], expected_result_type=bool) self.assertEqual(False, result) result = self.run_smart_contract(engine, path, 'verify', signer_accounts=[self.OWNER_SCRIPT_HASH], expected_result_type=bool) self.assertEqual(True, result)

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b91001e332aa64ac253ac48782d8533dd11227e4

3,356

py

Python

tests/test_updating_todos_status.py

dimasaryo/todomvc-test

3e9d793a8c40c6934a7fae6b8ef7752ef09b0715

[ "MIT" ]

4

2015-12-15T23:25:39.000Z

2020-10-18T09:50:31.000Z

tests/test_updating_todos_status.py

dimasaryo/todomvc-test

3e9d793a8c40c6934a7fae6b8ef7752ef09b0715

[ "MIT" ]

null

tests/test_updating_todos_status.py

dimasaryo/todomvc-test

3e9d793a8c40c6934a7fae6b8ef7752ef09b0715

[ "MIT" ]

null

import pytest @pytest.mark.usefixtures('generate_test_data') def test_mark_active_todo_as_complete(todoApp): """ Test on marking active todo as complete Pre-condition: 1. The todos applications consists 3 active todos and 3 completed todos Steps: 1. Open browser and go to DESTINATION_URL. 3. Click on the Checkbox before the active todo's label. Expected result: 1. The todo is not active 2. The active todo count is only 2 items left """ # Get the active todos active_todos = todoApp.find_active_todos() # Update an active todo from the list text = active_todos[0].text todoApp.toggle_todo(text) # ASSERTION todo = todoApp.find_todo(text) # Check the new todo status, it should completed. assert todoApp.is_active_todo(todo) == False # Check the active todo count assert todoApp.count_active_todos() == '2 items left' @pytest.mark.usefixtures('generate_test_data') def test_mark_completed_todo_as_active(todoApp): """ Test on marking completed todo as active Pre-condition: 1. The todos applications consists 3 active todos and 3 completed todos Steps: 1. Open browser and go to DESTINATION_URL. 3. Click on the Checkbox before the completed todo's label. Expected result: 1. The todo is now active 2. The active todo count is increased to 4 items left """ # Get the completed todos completed_todos = todoApp.find_completed_todos() # Update an completed todo from the list text = completed_todos[0].text todoApp.toggle_todo(text) # ASSERTION todo = todoApp.find_todo(text) # Check the new todo status, it should active. assert todoApp.is_active_todo(todo) # Check the active todo count assert todoApp.count_active_todos() == '4 items left' @pytest.mark.usefixtures('generate_test_data') def test_toggle_all_todos_one_time(todoApp): """ Test on marking all todos as completed Pre-condition: 1. The todos applications consists 3 active todos and 3 completed todos Steps: 1. Open browser and go to DESTINATION_URL. 3. Click on the arrow down button before the new todo field. Expected result: 1. All todos become completed. 2. No active todos left """ # Get the completed todos todoApp.click_toggle_all() # ASSERTION # Check the active todo count assert todoApp.count_active_todos() == '0 items left' # Get all completed todos completed_todos = todoApp.find_completed_todos() assert len(completed_todos) == 6 @pytest.mark.usefixtures('generate_test_data') def test_toggle_all_todos_twice(todoApp): """ Test on marking all todos as active Pre-condition: 1. The todos applications consists 3 active todos and 3 completed todos Steps: 1. Open browser and go to DESTINATION_URL. 3. Click on the arrow down button before the new todo field. Expected result: 1. All todos become active. 2. All todos are active """ # Click toggle all button twice todoApp.click_toggle_all() todoApp.click_toggle_all() # ASSERTION # Check the active todo count assert todoApp.count_active_todos() == '6 items left' # Get all completed todos completed_todos = todoApp.find_completed_todos() assert len(completed_todos) == 0 # Get all active todos active_todos = todoApp.find_active_todos() assert len(active_todos) == 6

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f8f22f52d9f397e11d2bf8043c6eeb4c4fbdebb6

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py

Python

src/models/gpy_zoo/gpy_zoo.py

jejjohnson/uncertain_gps

8f71a74dc38640dcf2113eb742229d991ead041d

[ "MIT" ]

9

2020-02-23T16:23:58.000Z

2022-03-07T06:43:45.000Z

src/models/gpy_zoo/gpy_zoo.py

jejjohnson/uncertain_gps

8f71a74dc38640dcf2113eb742229d991ead041d

[ "MIT" ]

null

src/models/gpy_zoo/gpy_zoo.py

jejjohnson/uncertain_gps

8f71a74dc38640dcf2113eb742229d991ead041d

[ "MIT" ]

1

2022-02-25T04:37:18.000Z

from typing import Optional, Union, Tuple import GPy import numpy as np from scipy.cluster.vq import kmeans2 from sklearn.base import BaseEstimator, RegressorMixin from sklearn.metrics import r2_score from sklearn.utils.validation import check_X_y, check_array class GPRegressor(BaseEstimator, RegressorMixin): """Gaussian process regression algorithm. This algorithm implements the GPR algorithm with considerations for uncertain inputs. Parameters ---------- kernel : GPy.kern.Kern, default=None The kernel function. Default kernel is the RBF kernel. X_variance : float,np.ndarray, default=None Option to do uncertain inputs. max_iters : int, default=200 Maximum number of iterations to use for the optimizer. optimizer : str, default='lbfgs' The optimizer to use for the maximum log-likelihood optimization. n_restarts : int, default=10 Number of random restarts for the optimizer. Good for avoiding local minima verbose : int, default=None Option to display messages during optimization normalize_y : bool, default=False Option to normalize the outputs before the optimization. Good for GP algorithms in general. Will do the reverse transformation for predictions. Attributes ---------- X_variance : np.ndarray, (features, features) The error covariance matrix for the inputs. gp_model : GPy.core The trained GP model. _y_train_mean : np.ndarray, (features) The _y_train_std : np.ndarray, (features) Examples -------- >> from src.gpy import GPRegression >> from sklearn.datasets import make_friedman2 >> X, y = make_friedman2(n_samples=500, noise=0, random_state=0) >> X_variance = 2.0 >> n_restarts = 0 >> verbose = None >> gp_clf = GPRegression( verbose=verbose, n_restarts=n_restarts, X_variance=X_variance, ) >> gp_clf.fit(X, y); >> ymean, ystd = gp_clf.predict( Xtest, return_std=True, noiseless=False, linearized=True ) >> from src.gpy import GPRegression >> from sklearn.datasets import make_friedman2 >> X, y = make_friedman2(n_samples=500, noise=0, random_state=0) >> X_variance = np.ndarry([0.1, 0.1, 0.1]) >> n_restarts = 0 >> verbose = None >> gp_clf = GPRegression( verbose=verbose, n_restarts=n_restarts, X_variance=X_variance, ) >> gp_clf.fit(X, y); >> ymean, ystd = gp_clf.predict( Xtest, return_std=True, noiseless=False, linearized=True ) """ def __init__( self, kernel: Optional[GPy.kern.Kern] = None, X_variance: Optional[Union[float, np.ndarray]] = None, max_iters: int = 200, optimizer: str = "lbfgs", n_restarts: int = 10, verbose: Optional[int] = None, normalize_y: bool = False, ): self.kernel = kernel self.X_variance = X_variance self.max_iters = max_iters self.optimizer = optimizer self.n_restarts = n_restarts self.verbose = verbose self.normalize_y = normalize_y def fit(self, X: np.ndarray, y: np.ndarray): """Fit the GP regression model. Parameters ---------- X : np.ndarray, (samples, features) Input vectors for the training regime y : np.ndarray, (samples, targets) Labels for the training regime Returns ------- self : returns an instance of self """ # Check inputs X, y = check_X_y( X, y, multi_output=True, y_numeric=True, ensure_2d=True, dtype="numeric" ) if self.normalize_y == True: self._y_train_mean = np.mean(y, axis=0) self._y_train_std = np.std(y, axis=0) # remove mean to make unit variance y = (y - self._y_train_mean) / self._y_train_std # get shapes n_samples, d_dimensions = X.shape # check X_variance self.X_variance = self._check_X_variance(self.X_variance, d_dimensions) # default Kernel Function if self.kernel is None: kernel = GPy.kern.RBF(input_dim=d_dimensions, ARD=False) else: kernel = self.kernel # Kernel matrix gp_model = GPy.models.GPRegression(X, y, kernel, noise_var=0.01) # Optimization if self.n_restarts >= 1: gp_model.optimize_restarts( num_restarts=self.n_restarts, robust=True, verbose=self.verbose, max_iters=self.max_iters, ) else: gp_model.optimize( self.optimizer, messages=self.verbose, max_iters=self.max_iters ) self.gp_model = gp_model return self def _check_X_variance( self, X_variance: Union[None, float, np.ndarray], n_dims: int ) -> Union[None, np.ndarray]: """Private method to check the X_variance parameter Parameters ---------- X_variance : float, None, np.ndarray The input for the uncertain inputs Returns ------- X_variance : np.ndarray, (n_features, n_features) The final matrix for the uncertain inputs. """ if X_variance is None: return X_variance elif isinstance(X_variance, float): return X_variance * np.ones(shape=(n_dims, n_dims)) elif isinstance(X_variance, np.ndarray): if X_variance.shape == 1: return X_variance * np.identity(n_dims) elif X_variance.shape == n_dims: return np.diag(X_variance) elif X_variance.shape == (n_dims, n_dims): return X_variance else: raise ValueError( f"Shape of 'X_variance' ({X_variance.shape}) " f"doesn't match X ({n_dims})" ) else: raise ValueError(f"Unrecognized type of X_variance.") def display_model(self): """Displays the model parameters of the GP in a clean format. Inherited from the GPy library.""" return self.gp_model def predict( self, X, return_std=False, full_cov=False, noiseless=True, linearized=True ) -> Tuple[np.ndarray, np.ndarray]: """Predict using the GP Model. Returns the mean and standard deviation (optional) or the full covariance matrix (optional). Also includes an option to add the error correction term for the Linearized GP method. Parameters ---------- X : np.ndarray, (n_samples, n_features) Input vector to be predicted return_std : bool, default=False flag to return the standard deviation in the ouputs. full_cov : bool, default=False flag to return the full covariance for the outputs noiseless : bool, default=True flag to return the noise likelihood term with the standard deviation linearized : bool, default=True flag to return the standard deviation with the corrected input error. Returns ------- y_mean : np.ndarray, (n_samples, n_targets) The mean predictions for the outputs y_std : np.ndarray, (n_samples) The standard deviations for the outputs. * linearized with input errors if linearized=True * has the likelihood noise if noiseless=False y_cov : np.ndarray, (n_samples, n_samples) The covariance matrix foer the outputs. Only returned if full_cov = True """ X = check_array(X, ensure_2d=True, dtype="numeric") if noiseless: mean, var = self.gp_model.predict_noiseless(X) else: mean, var = self.gp_model.predict(X) # undo normalization if self.normalize_y == True: mean = self._y_train_std * mean + self._y_train_mean var = var * self._y_train_std ** 2 if return_std: # we want the variance correction if linearized == True and self.X_variance is not None: # get the variance correction var_add = self._variance_correction(X) # get diagonal elements only if full_cov == False: var_add = np.diag(var_add)[:, None] # add correction to original variance var += var_add # return mean and standard deviation return mean, np.sqrt(var) else: return mean, np.sqrt(var) else: return mean def _variance_correction(self, X: np.ndarray) -> np.ndarray: """Private method to calculate the corrective term for the predictive variance. Parameters ---------- X : np.ndarray, (n_samples, n_features) Returns ------- var_add : np.ndarray, (n_samples) """ # calculate the gradient x_der, _ = self.gp_model.predictive_gradients(X) # calculate correction var_add = x_der[..., 0] @ self.X_variance @ x_der[..., 0].T return var_add class SparseGPRegressor(BaseEstimator, RegressorMixin): """Sparse Gaussian process regression algorithm. This algorithm implements the GPR algorithm with considerations for uncertain inputs. Parameters ---------- kernel : GPy.kern.Kern, default=None The kernel function. Default kernel is the RBF kernel. n_inducing : int, default=10 The number of inducing inputs to use for the regression model. inference : str, default='vfe' option to choose inference algorithm * vfe - approximates the posterior (default) * fitc - approximates the model * pep - hybrid of above approaches X_variance : float,np.ndarray, default=None Option to do uncertain inputs. max_iters : int, default=200 Maximum number of iterations to use for the optimizer. optimizer : str, default='scg' The optimizer to use for the maximum log-likelihood optimization. n_restarts : int, default=10 Number of random restarts for the optimizer. Good for avoiding local minima verbose : int, default=None Option to display messages during optimization normalize_y : bool, default=False Option to normalize the outputs before the optimization. Good for GP algorithms in general. Will do the reverse transformation for predictions. alpha : float, default=0.5 Option only used for the 'PEP' inference algorithm; the factor for the hybrid between the two other inference algorithms. alpha = 1 -> VFE alpha = 0 -> FITC Attributes ---------- X_variance : np.ndarray, (features, features) The error covariance matrix for the inputs. gp_model : GPy.core The trained GP model. _y_train_mean : np.ndarray, (features) The _y_train_std : np.ndarray, (features) Examples -------- >> from src.gpy import GPRegression >> from sklearn.datasets import make_friedman2 >> X, y = make_friedman2(n_samples=500, noise=0, random_state=0) >> X_variance = 2.0 >> n_restarts = 0 >> verbose = None >> gp_clf = GPRegression( verbose=verbose, n_restarts=n_restarts, X_variance=X_variance, ) >> gp_clf.fit(X, y); >> ymean, ystd = gp_clf.predict( Xtest, return_std=True, noiseless=False, linearized=True ) >> from src.gpy import GPRegression >> from sklearn.datasets import make_friedman2 >> X, y = make_friedman2(n_samples=500, noise=0, random_state=0) >> X_variance = np.ndarry([0.1, 0.1, 0.1]) >> n_restarts = 0 >> verbose = None >> gp_clf = GPRegression( verbose=verbose, n_restarts=n_restarts, X_variance=X_variance, ) >> gp_clf.fit(X, y); >> ymean, ystd = gp_clf.predict( Xtest, return_std=True, noiseless=False, linearized=True ) """ def __init__( self, kernel: Optional[GPy.kern.Kern] = None, inference: str = "vfe", X_variance: Optional[Union[float, np.ndarray]] = None, n_inducing: int = 10, max_iters: int = 200, optimizer: str = "scg", n_restarts: int = 10, verbose: Optional[int] = None, alpha: float = 0.5, normalize_y: bool = False, ): self.kernel = kernel self.n_inducing = n_inducing self.X_variance = X_variance self.inference = inference self.max_iters = max_iters self.optimizer = optimizer self.n_restarts = n_restarts self.verbose = verbose self.alpha = alpha self.normalize_y = normalize_y def fit(self, X: np.ndarray, y: np.ndarray): """Fit the Sparse GP regression model. Parameters ---------- X : np.ndarray, (samples, features) Input vectors for the training regime y : np.ndarray, (samples, targets) Labels for the training regime Returns ------- self : returns an instance of self """ # Check inputs X, y = check_X_y( X, y, multi_output=True, y_numeric=True, ensure_2d=True, dtype="numeric" ) # normalize outputs if self.normalize_y == True: self._y_train_mean = np.mean(y, axis=0) self._y_train_std = np.std(y, axis=0) # remove mean to make unit variance y = (y - self._y_train_mean) / self._y_train_std # get shapes n_samples, d_dimensions = X.shape # default Kernel Function if self.kernel is None: self.kernel = GPy.kern.RBF(input_dim=d_dimensions, ARD=False) # check X_variance self.X_variance = self._check_X_variance(self.X_variance, d_dimensions) # Get inducing points z = kmeans2(X, self.n_inducing, minit="points")[0] # Kernel matrix gp_model = GPy.models.SparseGPRegression(X, y, kernel=self.kernel, Z=z) # set the fitc inference if self.inference.lower() == "vfe": gp_model.inference_method = GPy.inference.latent_function_inference.VarDTC() elif self.inference.lower() == "fitc": gp_model.inference_method = GPy.inference.latent_function_inference.FITC() elif self.inference.lower() == "pep": gp_model.inference_method = GPy.inference.latent_function_inference.PEP( self.alpha ) else: raise ValueError(f"Unrecognized inference method: {self.inference}") # Optimize gp_model.optimize( self.optimizer, messages=self.verbose, max_iters=self.max_iters ) # Make likelihood variance low to start gp_model.Gaussian_noise.variance = 0.01 # Optimization if self.n_restarts >= 1: gp_model.optimize_restarts( num_restarts=self.n_restarts, robust=True, verbose=self.verbose, max_iters=self.max_iters, ) else: gp_model.optimize( self.optimizer, messages=self.verbose, max_iters=self.max_iters ) self.gp_model = gp_model return self def display_model(self): return self.gp_model def _check_X_variance( self, X_variance: Union[None, float, np.ndarray], n_dims: int ) -> Union[None, np.ndarray]: """Private method to check the X_variance parameter Parameters ---------- X_variance : float, None, np.ndarray The input for the uncertain inputs Returns ------- X_variance : np.ndarray, (n_features, n_features) The final matrix for the uncertain inputs. """ if X_variance is None: return X_variance elif isinstance(X_variance, float): return X_variance * np.ones(shape=(n_dims, n_dims)) elif isinstance(X_variance, np.ndarray): if X_variance.shape == 1: return X_variance * np.identity(n_dims) elif X_variance.shape == n_dims: return np.diag(X_variance) elif X_variance.shape == (n_dims, n_dims): return X_variance else: raise ValueError( f"Shape of 'X_variance' ({X_variance.shape}) " f"doesn't match X ({n_dims})" ) else: raise ValueError(f"Unrecognized type of X_variance.") def predict( self, X, return_std=False, full_cov=False, noiseless=True, linearized=True ) -> Tuple[np.ndarray, np.ndarray]: """Predict using the GP Model. Returns the mean and standard deviation (optional) or the full covariance matrix (optional). Also includes an option to add the error correction term for the Linearized GP method. Parameters ---------- X : np.ndarray, (n_samples, n_features) Input vector to be predicted return_std : bool, default=False flag to return the standard deviation in the ouputs. full_cov : bool, default=False flag to return the full covariance for the outputs noiseless : bool, default=True flag to return the noise likelihood term with the standard deviation linearized : bool, default=True flag to return the standard deviation with the corrected input error. Returns ------- y_mean : np.ndarray, (n_samples, n_targets) The mean predictions for the outputs y_std : np.ndarray, (n_samples) The standard deviations for the outputs. * linearized with input errors if linearized=True * has the likelihood noise if noiseless=False y_cov : np.ndarray, (n_samples, n_samples) The covariance matrix foer the outputs. Only returned if full_cov = True """ X = check_array(X, ensure_2d=True, dtype="numeric") if noiseless: mean, var = self.gp_model.predict_noiseless(X) else: mean, var = self.gp_model.predict(X) # undo normalization if self.normalize_y == True: mean = self._y_train_std * mean + self._y_train_mean var = var * self._y_train_std ** 2 if return_std: # we want the variance correction if linearized == True and self.X_variance is not None: # get the variance correction var_add = self._variance_correction(X) # get diagonal elements only if full_cov == False: var_add = np.diag(var_add)[:, None] # add correction to original variance var += var_add # return mean and standard deviation return mean, np.sqrt(var) else: return mean, np.sqrt(var) else: return mean def _variance_correction(self, X: np.ndarray) -> np.ndarray: """Private method to calculate the corrective term for the predictive variance. Parameters ---------- X : np.ndarray, (n_samples, n_features) Returns ------- var_add : np.ndarray, (n_samples) """ x_der, _ = self.gp_model.predictive_gradients(X) # calculate correction var_add = x_der[..., 0] @ self.X_variance @ x_der[..., 0].T return var_add class UncertainSGPRegressor(BaseEstimator, RegressorMixin): """Sparse Gaussian process regression algorithm. This algorithm implements the GPR algorithm with considerations for uncertain inputs. Parameters ---------- kernel : GPy.kern.Kern, default=None The kernel function. Default kernel is the RBF kernel. n_inducing : int, default=10 The number of inducing inputs to use for the regression model. inference : str, default='vfe' option to choose inference algorithm * vfe - approximates the posterior (default) * fitc - approximates the model X_variance : float,np.ndarray, default=None Option to do uncertain inputs. max_iters : int, default=200 Maximum number of iterations to use for the optimizer. optimizer : str, default='scg' The optimizer to use for the maximum log-likelihood optimization. n_restarts : int, default=10 Number of random restarts for the optimizer. Good for avoiding local minima verbose : int, default=None Option to display messages during optimization normalize_y : bool, default=False Option to normalize the outputs before the optimization. Good for GP algorithms in general. Will do the reverse transformation for predictions. Attributes ---------- X_variance : np.ndarray, (features, features) The error covariance matrix for the inputs. gp_model : GPy.core The trained GP model. _y_train_mean : np.ndarray, (features) The _y_train_std : np.ndarray, (features) Examples -------- >> from src.gpy import GPRegression >> from sklearn.datasets import make_friedman2 >> X, y = make_friedman2(n_samples=500, noise=0, random_state=0) >> X_variance = 2.0 >> n_restarts = 0 >> verbose = None >> gp_clf = GPRegression( verbose=verbose, n_restarts=n_restarts, X_variance=X_variance, ) >> gp_clf.fit(X, y); >> ymean, ystd = gp_clf.predict( Xtest, return_std=True, noiseless=False, linearized=True ) >> from src.gpy import GPRegression >> from sklearn.datasets import make_friedman2 >> X, y = make_friedman2(n_samples=500, noise=0, random_state=0) >> X_variance = np.ndarry([0.1, 0.1, 0.1]) >> n_restarts = 0 >> verbose = None >> gp_clf = GPRegression( verbose=verbose, n_restarts=n_restarts, X_variance=X_variance, ) >> gp_clf.fit(X, y); >> ymean, ystd = gp_clf.predict( Xtest, return_std=True, noiseless=False, linearized=True ) """ def __init__( self, kernel: Optional[GPy.kern.Kern] = None, inference: str = "vfe", X_variance: Optional[Union[float, np.ndarray]] = None, n_inducing: int = 10, max_iters: int = 200, optimizer: str = "scg", n_restarts: int = 10, verbose: Optional[int] = None, normalize_y: bool = False, batch_size: Optional[int] = None, ): self.kernel = kernel self.n_inducing = n_inducing self.X_variance = X_variance self.inference = inference self.max_iters = max_iters self.optimizer = optimizer self.n_restarts = n_restarts self.verbose = verbose self.normalize_y = normalize_y self.batch_size = batch_size def fit(self, X, y): """Fit the Sparse GP regression model. Parameters ---------- X : np.ndarray, (samples, features) Input vectors for the training regime y : np.ndarray, (samples, targets) Labels for the training regime Returns ------- self : returns an instance of self """ # Check inputs X, y = check_X_y( X, y, multi_output=True, y_numeric=True, ensure_2d=True, dtype="numeric" ) # normalize outputs if self.normalize_y == True: self._y_train_mean = np.mean(y, axis=0) self._y_train_std = np.std(y, axis=0) # remove mean to make unit variance y = (y - self._y_train_mean) / self._y_train_std n_samples, d_dimensions = X.shape # default Kernel Function if self.kernel is None: self.kernel = GPy.kern.RBF(input_dim=d_dimensions, ARD=False) # Get inducing points z = kmeans2(X, self.n_inducing, minit="points")[0] # Get Variance X_variance = self._check_X_variance(self.X_variance, X.shape) # Inference function if self.inference.lower() == "vfe" or X_variance is not None: inference_method = GPy.inference.latent_function_inference.VarDTC() elif self.inference.lower() == "fitc": inference_method = GPy.inference.latent_function_inference.FITC() else: raise ValueError(f"Unrecognized inference method: {self.inference}") # Kernel matrix if self.batch_size is None: gp_model = GPy.models.SparseGPRegression( X, y, kernel=self.kernel, Z=z, X_variance=X_variance ) else: gp_model = GPy.models.bayesian_gplvm_minibatch.BayesianGPLVMMiniBatch( Y=y, X=X, input_dim=X.shape, kernel=self.kernel, Z=z, X_variance=X_variance, inference_method=inference_method, batchsize=self.batch_size, likelihood=GPy.likelihoods.Gaussian(), stochastic=False, missing_data=False, ) # set the fitc inference # Optimize gp_model.optimize( self.optimizer, messages=self.verbose, max_iters=self.max_iters ) # Make likelihood variance low to start gp_model.Gaussian_noise.variance = 0.01 # Optimization if self.n_restarts >= 1: gp_model.optimize_restarts( num_restarts=self.n_restarts, robust=True, verbose=self.verbose, max_iters=self.max_iters, ) else: gp_model.optimize( self.optimizer, messages=self.verbose, max_iters=self.max_iters ) self.gp_model = gp_model return self def _check_X_variance( self, X_variance: Union[None, float, np.ndarray], X_shape: Tuple[int, int] ) -> Union[None, np.ndarray]: """Private method to check the X_variance parameter Parameters ---------- X_variance : float, None, np.ndarray The input for the uncertain inputs Returns ------- X_variance : np.ndarray, (n_features, n_features) The final matrix for the uncertain inputs. """ if X_variance is None: return X_variance elif isinstance(X_variance, float): return X_variance * np.ones(shape=X_shape) elif isinstance(X_variance, np.ndarray): if X_variance.shape == 1: return X_variance * np.ones(shape=X_shape) elif X_variance.shape[0] == X_shape[1]: return np.tile(self.X_variance, (X_shape[0], 1)) elif X_variance.shape == (X_shape[0], X_shape[1]): return X_variance else: raise ValueError( f"Shape of 'X_variance' {X_variance.shape} " f"doesn't match X {X_shape}" ) else: raise ValueError(f"Unrecognized type of X_variance.") def display_model(self): return self.gp_model def predict( self, X, return_std=False, full_cov=False, noiseless=True, ) -> Tuple[np.ndarray, np.ndarray]: """Predict using the GP Model. Returns the mean and standard deviation (optional) or the full covariance matrix (optional). Also includes an option to add the error correction term for the Linearized GP method. Parameters ---------- X : np.ndarray, (n_samples, n_features) Input vector to be predicted return_std : bool, default=False flag to return the standard deviation in the ouputs. full_cov : bool, default=False flag to return the full covariance for the outputs noiseless : bool, default=True flag to return the noise likelihood term with the standard deviation Returns ------- y_mean : np.ndarray, (n_samples, n_targets) The mean predictions for the outputs y_std : np.ndarray, (n_samples) The standard deviations for the outputs. * linearized with input errors if linearized=True * has the likelihood noise if noiseless=False y_cov : np.ndarray, (n_samples, n_samples) The covariance matrix foer the outputs. Only returned if full_cov = True """ X = check_array(X, ensure_2d=True, dtype="numeric") if noiseless == True: include_likelihood = False elif noiseless == False: include_likelihood = True else: raise ValueError(f"Unrecognized argument for noiseless: {noiseless}") mean, var = self.gp_model.predict(X, include_likelihood=include_likelihood) # undo normalization if self.normalize_y == True: mean = self._y_train_std * mean + self._y_train_mean var = var * self._y_train_std ** 2 if return_std: # # we want the variance correction # if linearized == True and self.X_variance is not None: # # get the variance correction # var_add = self._variance_correction(X) # # get diagonal elements only # if full_cov == False: # var_add = np.diag(var_add)[:, None] # # add correction to original variance # var += var_add # # return mean and standard deviation return mean, np.sqrt(var) # else: # return mean, np.sqrt(var) else: return mean def _variance_correction(self, X: np.ndarray) -> np.ndarray: """Private method to calculate the corrective term for the predictive variance. Parameters ---------- X : np.ndarray, (n_samples, n_features) Returns ------- var_add : np.ndarray, (n_samples) """ x_der, _ = self.gp_model.predictive_gradients(X) # calculate correction var_add = x_der[..., 0] @ self.X_variance @ x_der[..., 0].T return var_add def demo_linearized_gpr(): import numpy as np import matplotlib.pyplot as plt import matplotlib # matplotlib.use("Agg") rng = np.random.RandomState(0) # Generate sample data noise = 1.0 input_noise = 0.2 n_train = 1_000 n_test = 1_000 n_inducing = 100 batch_size = None X = 15 * rng.rand(n_train, 1) def plot_results(title=None): # Plot results plt.figure(figsize=(10, 5)) lw = 2 plt.scatter(X, y, c="k", label="data") plt.plot(X_plot, np.sin(X_plot), color="navy", lw=lw, label="True") plt.plot(X_plot, y_gpr, color="darkorange", lw=lw, label="GPR") plt.fill_between( X_plot[:, 0], (y_gpr - 2 * y_std).squeeze(), (y_gpr + 2 * y_std).squeeze(), color="darkorange", alpha=0.2, ) plt.xlabel("data") plt.ylabel("target") plt.xlim(0, 20) plt.ylim(-4, 4) if title is not None: plt.title(title) plt.legend(loc="best", scatterpoints=1, prop={"size": 8}) plt.show() def f(x): return np.sin(x) y = f(X) X += input_noise * rng.randn(X.shape[0], X.shape[1]) y += noise * (0.5 - rng.rand(X.shape[0], X.shape[1])) # add noise X_plot = np.linspace(0, 20, n_test)[:, None] X_plot += input_noise * rng.randn(X_plot.shape[0], X_plot.shape[1]) X_plot = np.sort(X_plot, axis=0) X_variance = input_noise n_restarts = 0 verbose = 1 normalize_y = False max_iters = 500 # ================================== # Standard GPR # ================================== gpr_clf = GPRegressor( verbose=verbose, n_restarts=n_restarts, X_variance=X_variance, normalize_y=normalize_y, ) gpr_clf.fit(X, y) y_gpr, y_std = gpr_clf.predict( X_plot, return_std=True, noiseless=False, linearized=False ) print(gpr_clf.display_model()) plot_results("GPR") y_gpr, y_std = gpr_clf.predict( X_plot, return_std=True, noiseless=False, linearized=True ) print(gpr_clf.display_model()) plot_results("GPR") # ================================== # Sparse GPR # ================================== gpr_clf = SparseGPRegressor( verbose=verbose, n_restarts=n_restarts, X_variance=X_variance, normalize_y=normalize_y, max_iters=max_iters, n_inducing=n_inducing, ) gpr_clf.fit(X, y) y_gpr, y_std = gpr_clf.predict( X_plot, return_std=True, noiseless=False, linearized=False ) print(gpr_clf.display_model()) plot_results("SGPR") y_gpr, y_std = gpr_clf.predict( X_plot, return_std=True, noiseless=False, linearized=True ) print(gpr_clf.display_model()) plot_results("SGPR") # ================================== # Sparse GPR # ================================== gpr_clf = UncertainSGPRegressor( verbose=verbose, n_restarts=n_restarts, X_variance=X_variance, normalize_y=normalize_y, max_iters=max_iters, n_inducing=n_inducing, batch_size=batch_size, ) gpr_clf.fit(X, y) y_gpr, y_std = gpr_clf.predict( X_plot, return_std=True, noiseless=False, linearized=True ) print(gpr_clf.display_model()) plot_results("SVGPR") y_gpr, y_std = gpr_clf.predict(X_plot, return_std=True, noiseless=False,) print(gpr_clf.display_model()) plot_results("SVGPR") return None if __name__ == "__main__": demo_linearized_gpr()

31.161922

88

0.577428

4,190

35,026

4.649881

0.078282

0.054971

0.011805

0.015706

0.893805

0.885695

0.87661

0.874814

0.862803

0.843094

0

0.009176

0.327928

35,026

1,123

89

31.189671

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null

0

1

0

null

0

1

0

7

5372bc06cef8d0564438077d1a4a79f1f3894232

186

py

Python

formating_num2.py

pavaniuriti2000/python_files

89e3c6bd95af6756b49bc8ee1fa74f900ea6c681

[ "MIT" ]

null

formating_num2.py

pavaniuriti2000/python_files

89e3c6bd95af6756b49bc8ee1fa74f900ea6c681

[ "MIT" ]

null

formating_num2.py

pavaniuriti2000/python_files

89e3c6bd95af6756b49bc8ee1fa74f900ea6c681

[ "MIT" ]

null

#formating numbers 2 print("%04d"%1000) #1000 print("%04d"%100) print("%04d"%10) print("%04d"%1) print("%.2f"%6) print("%.4f"%6) print("%2f"%6666)

18.6

29

0.483871

25

186

3.6

0.52

0.355556

0

0.235294

0.268817

186

9

30

20.666667

0.426471

0.123656

0

0.167702

0

1

0

true

0

1

0

null

1

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1

0

1

0

1

0

null

0

1

0

1

0

7

5388c57ee0fe0171dcc06ead230a7ecb54660d38

5,457

py

Python

gotti/modules/helper_funcs/msg_types.py

HellBringerReal/HellYeah

c204de5e8212fd32aaae6afd92c2bc7999457d4f

[ "MIT" ]

null

gotti/modules/helper_funcs/msg_types.py

HellBringerReal/HellYeah

c204de5e8212fd32aaae6afd92c2bc7999457d4f

[ "MIT" ]

null

gotti/modules/helper_funcs/msg_types.py

HellBringerReal/HellYeah

c204de5e8212fd32aaae6afd92c2bc7999457d4f

[ "MIT" ]

null

from enum import IntEnum, unique from telegram import Message from gotti.modules.helper_funcs.string_handling import button_markdown_parser @unique class Types(IntEnum): TEXT = 0 BUTTON_TEXT = 1 STICKER = 2 DOCUMENT = 3 PHOTO = 4 AUDIO = 5 VOICE = 6 VIDEO = 7 VIDEO_NOTE = 8 def get_note_type(msg: Message): data_type = None content = None text = "" raw_text = msg.text or msg.caption args = raw_text.split(None, 2) # use python's maxsplit to separate cmd and args note_name = args[1] buttons = [] # determine what the contents of the filter are - text, image, sticker, etc if len(args) >= 3: offset = len(args[2]) - len(raw_text) # set correct offset relative to command + notename text, buttons = button_markdown_parser(args[2], entities=msg.parse_entities() or msg.parse_caption_entities(), offset=offset) if buttons: data_type = Types.BUTTON_TEXT else: data_type = Types.TEXT elif msg.reply_to_message: entities = msg.reply_to_message.parse_entities() or msg.reply_to_message.parse_caption_entities() msgtext = msg.reply_to_message.text or msg.reply_to_message.caption if len(args) >= 2 and msg.reply_to_message.text: # not caption, text text, buttons = button_markdown_parser(msgtext, entities=entities) if buttons: data_type = Types.BUTTON_TEXT else: data_type = Types.TEXT elif msg.reply_to_message.sticker: content = msg.reply_to_message.sticker.file_id data_type = Types.STICKER elif msg.reply_to_message.document: content = msg.reply_to_message.document.file_id text, buttons = button_markdown_parser(msgtext, entities=entities) data_type = Types.DOCUMENT elif msg.reply_to_message.photo: content = msg.reply_to_message.photo[-1].file_id # last elem = best quality text, buttons = button_markdown_parser(msgtext, entities=entities) data_type = Types.PHOTO elif msg.reply_to_message.audio: content = msg.reply_to_message.audio.file_id text, buttons = button_markdown_parser(msgtext, entities=entities) data_type = Types.AUDIO elif msg.reply_to_message.voice: content = msg.reply_to_message.voice.file_id text, buttons = button_markdown_parser(msgtext, entities=entities) data_type = Types.VOICE elif msg.reply_to_message.video: content = msg.reply_to_message.video.file_id text, buttons = button_markdown_parser(msgtext, entities=entities) data_type = Types.VIDEO elif msg.reply_to_message.video_note: content = msg.reply_to_message.video_note.file_id text, buttons = button_markdown_parser(msgtext, entities=entities) data_type = Types.VIDEO_NOTE return note_name, text, data_type, content, buttons # note: add own args? def get_welcome_type(msg: Message): data_type = None content = None text = "" args = msg.text.split(None, 1) # use python's maxsplit to separate cmd and args buttons = [] # determine what the contents of the filter are - text, image, sticker, etc # some media, cannot have captions in the Telegram BOT API if len(args) >= 2 and not msg.reply_to_message: offset = len(args[1]) - len(msg.text) # set correct offset relative to command + notename text, buttons = button_markdown_parser(args[1], entities=msg.parse_entities(), offset=offset) if buttons: data_type = Types.BUTTON_TEXT else: data_type = Types.TEXT elif msg.reply_to_message and msg.reply_to_message.sticker: content = msg.reply_to_message.sticker.file_id text = msg.reply_to_message.caption data_type = Types.STICKER elif msg.reply_to_message and msg.reply_to_message.document: content = msg.reply_to_message.document.file_id text = msg.reply_to_message.caption data_type = Types.DOCUMENT elif msg.reply_to_message and msg.reply_to_message.photo: content = msg.reply_to_message.photo[-1].file_id # last elem = best quality text = msg.reply_to_message.caption data_type = Types.PHOTO elif msg.reply_to_message and msg.reply_to_message.audio: content = msg.reply_to_message.audio.file_id text = msg.reply_to_message.caption data_type = Types.AUDIO elif msg.reply_to_message and msg.reply_to_message.voice: content = msg.reply_to_message.voice.file_id text = msg.reply_to_message.caption data_type = Types.VOICE elif msg.reply_to_message and msg.reply_to_message.video: content = msg.reply_to_message.video.file_id text = msg.reply_to_message.caption data_type = Types.VIDEO elif msg.reply_to_message.video_note: msgtext = "" if len(args) > 1: msgtext = args[1] content = msg.reply_to_message.video_note.file_id text, buttons = button_markdown_parser(msgtext, entities=msg.reply_to_message.parse_caption_entities(), offset=0) data_type = Types.VIDEO_NOTE return text, data_type, content, buttons

37.634483

121

0.660436

731

5,457

4.674419

0.135431

0.112379

0.140474

0.238806

0.831724

0.788411

0.76851

0.746854

0.731051

0.646766

0

0.005976

0.264065

5,457

144

122

37.895833

0.844871

0.08906

0

0.548673

0

1

0.017699

false

0

0.026549

0

0.150442

0

null

0

1

0

null

0

7

53912269f166a544646f3d4f70195bbcff903dd5

35,487

py

Python

sdk/python/pulumi_aws/cognito/identity_pool.py

rapzo/pulumi-aws

390a098221315d98a54ba97d1559e750dc3053b7

[ "ECL-2.0", "Apache-2.0" ]

260

2018-06-18T14:57:00.000Z

2022-03-29T11:41:03.000Z

sdk/python/pulumi_aws/cognito/identity_pool.py

rapzo/pulumi-aws

390a098221315d98a54ba97d1559e750dc3053b7

[ "ECL-2.0", "Apache-2.0" ]

1,154

2018-06-19T20:38:20.000Z

2022-03-31T19:48:16.000Z

sdk/python/pulumi_aws/cognito/identity_pool.py

rapzo/pulumi-aws

390a098221315d98a54ba97d1559e750dc3053b7

[ "ECL-2.0", "Apache-2.0" ]

115

2018-06-28T03:20:27.000Z

2022-03-29T11:41:06.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities from . import outputs from ._inputs import * __all__ = ['IdentityPoolArgs', 'IdentityPool'] @pulumi.input_type class IdentityPoolArgs: def __init__(__self__, *, identity_pool_name: pulumi.Input[str], allow_classic_flow: Optional[pulumi.Input[bool]] = None, allow_unauthenticated_identities: Optional[pulumi.Input[bool]] = None, cognito_identity_providers: Optional[pulumi.Input[Sequence[pulumi.Input['IdentityPoolCognitoIdentityProviderArgs']]]] = None, developer_provider_name: Optional[pulumi.Input[str]] = None, openid_connect_provider_arns: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, saml_provider_arns: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, supported_login_providers: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None): """ The set of arguments for constructing a IdentityPool resource. :param pulumi.Input[str] identity_pool_name: The Cognito Identity Pool name. :param pulumi.Input[bool] allow_classic_flow: Enables or disables the classic / basic authentication flow. Default is `false`. :param pulumi.Input[bool] allow_unauthenticated_identities: Whether the identity pool supports unauthenticated logins or not. :param pulumi.Input[Sequence[pulumi.Input['IdentityPoolCognitoIdentityProviderArgs']]] cognito_identity_providers: An array of Amazon Cognito Identity user pools and their client IDs. :param pulumi.Input[str] developer_provider_name: The "domain" by which Cognito will refer to your users. This name acts as a placeholder that allows your backend and the Cognito service to communicate about the developer provider. :param pulumi.Input[Sequence[pulumi.Input[str]]] openid_connect_provider_arns: Set of OpendID Connect provider ARNs. :param pulumi.Input[Sequence[pulumi.Input[str]]] saml_provider_arns: An array of Amazon Resource Names (ARNs) of the SAML provider for your identity. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] supported_login_providers: Key-Value pairs mapping provider names to provider app IDs. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A map of tags to assign to the Identity Pool. .If configured with a provider `default_tags` configuration block present, tags with matching keys will overwrite those defined at the provider-level. """ pulumi.set(__self__, "identity_pool_name", identity_pool_name) if allow_classic_flow is not None: pulumi.set(__self__, "allow_classic_flow", allow_classic_flow) if allow_unauthenticated_identities is not None: pulumi.set(__self__, "allow_unauthenticated_identities", allow_unauthenticated_identities) if cognito_identity_providers is not None: pulumi.set(__self__, "cognito_identity_providers", cognito_identity_providers) if developer_provider_name is not None: pulumi.set(__self__, "developer_provider_name", developer_provider_name) if openid_connect_provider_arns is not None: pulumi.set(__self__, "openid_connect_provider_arns", openid_connect_provider_arns) if saml_provider_arns is not None: pulumi.set(__self__, "saml_provider_arns", saml_provider_arns) if supported_login_providers is not None: pulumi.set(__self__, "supported_login_providers", supported_login_providers) if tags is not None: pulumi.set(__self__, "tags", tags) @property @pulumi.getter(name="identityPoolName") def identity_pool_name(self) -> pulumi.Input[str]: """ The Cognito Identity Pool name. """ return pulumi.get(self, "identity_pool_name") @identity_pool_name.setter def identity_pool_name(self, value: pulumi.Input[str]): pulumi.set(self, "identity_pool_name", value) @property @pulumi.getter(name="allowClassicFlow") def allow_classic_flow(self) -> Optional[pulumi.Input[bool]]: """ Enables or disables the classic / basic authentication flow. Default is `false`. """ return pulumi.get(self, "allow_classic_flow") @allow_classic_flow.setter def allow_classic_flow(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "allow_classic_flow", value) @property @pulumi.getter(name="allowUnauthenticatedIdentities") def allow_unauthenticated_identities(self) -> Optional[pulumi.Input[bool]]: """ Whether the identity pool supports unauthenticated logins or not. """ return pulumi.get(self, "allow_unauthenticated_identities") @allow_unauthenticated_identities.setter def allow_unauthenticated_identities(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "allow_unauthenticated_identities", value) @property @pulumi.getter(name="cognitoIdentityProviders") def cognito_identity_providers(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['IdentityPoolCognitoIdentityProviderArgs']]]]: """ An array of Amazon Cognito Identity user pools and their client IDs. """ return pulumi.get(self, "cognito_identity_providers") @cognito_identity_providers.setter def cognito_identity_providers(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['IdentityPoolCognitoIdentityProviderArgs']]]]): pulumi.set(self, "cognito_identity_providers", value) @property @pulumi.getter(name="developerProviderName") def developer_provider_name(self) -> Optional[pulumi.Input[str]]: """ The "domain" by which Cognito will refer to your users. This name acts as a placeholder that allows your backend and the Cognito service to communicate about the developer provider. """ return pulumi.get(self, "developer_provider_name") @developer_provider_name.setter def developer_provider_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "developer_provider_name", value) @property @pulumi.getter(name="openidConnectProviderArns") def openid_connect_provider_arns(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ Set of OpendID Connect provider ARNs. """ return pulumi.get(self, "openid_connect_provider_arns") @openid_connect_provider_arns.setter def openid_connect_provider_arns(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "openid_connect_provider_arns", value) @property @pulumi.getter(name="samlProviderArns") def saml_provider_arns(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ An array of Amazon Resource Names (ARNs) of the SAML provider for your identity. """ return pulumi.get(self, "saml_provider_arns") @saml_provider_arns.setter def saml_provider_arns(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "saml_provider_arns", value) @property @pulumi.getter(name="supportedLoginProviders") def supported_login_providers(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]: """ Key-Value pairs mapping provider names to provider app IDs. """ return pulumi.get(self, "supported_login_providers") @supported_login_providers.setter def supported_login_providers(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]): pulumi.set(self, "supported_login_providers", value) @property @pulumi.getter def tags(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]: """ A map of tags to assign to the Identity Pool. .If configured with a provider `default_tags` configuration block present, tags with matching keys will overwrite those defined at the provider-level. """ return pulumi.get(self, "tags") @tags.setter def tags(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]): pulumi.set(self, "tags", value) @pulumi.input_type class _IdentityPoolState: def __init__(__self__, *, allow_classic_flow: Optional[pulumi.Input[bool]] = None, allow_unauthenticated_identities: Optional[pulumi.Input[bool]] = None, arn: Optional[pulumi.Input[str]] = None, cognito_identity_providers: Optional[pulumi.Input[Sequence[pulumi.Input['IdentityPoolCognitoIdentityProviderArgs']]]] = None, developer_provider_name: Optional[pulumi.Input[str]] = None, identity_pool_name: Optional[pulumi.Input[str]] = None, openid_connect_provider_arns: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, saml_provider_arns: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, supported_login_providers: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, tags_all: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None): """ Input properties used for looking up and filtering IdentityPool resources. :param pulumi.Input[bool] allow_classic_flow: Enables or disables the classic / basic authentication flow. Default is `false`. :param pulumi.Input[bool] allow_unauthenticated_identities: Whether the identity pool supports unauthenticated logins or not. :param pulumi.Input[str] arn: The ARN of the identity pool. :param pulumi.Input[Sequence[pulumi.Input['IdentityPoolCognitoIdentityProviderArgs']]] cognito_identity_providers: An array of Amazon Cognito Identity user pools and their client IDs. :param pulumi.Input[str] developer_provider_name: The "domain" by which Cognito will refer to your users. This name acts as a placeholder that allows your backend and the Cognito service to communicate about the developer provider. :param pulumi.Input[str] identity_pool_name: The Cognito Identity Pool name. :param pulumi.Input[Sequence[pulumi.Input[str]]] openid_connect_provider_arns: Set of OpendID Connect provider ARNs. :param pulumi.Input[Sequence[pulumi.Input[str]]] saml_provider_arns: An array of Amazon Resource Names (ARNs) of the SAML provider for your identity. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] supported_login_providers: Key-Value pairs mapping provider names to provider app IDs. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A map of tags to assign to the Identity Pool. .If configured with a provider `default_tags` configuration block present, tags with matching keys will overwrite those defined at the provider-level. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags_all: A map of tags assigned to the resource, including those inherited from the provider . """ if allow_classic_flow is not None: pulumi.set(__self__, "allow_classic_flow", allow_classic_flow) if allow_unauthenticated_identities is not None: pulumi.set(__self__, "allow_unauthenticated_identities", allow_unauthenticated_identities) if arn is not None: pulumi.set(__self__, "arn", arn) if cognito_identity_providers is not None: pulumi.set(__self__, "cognito_identity_providers", cognito_identity_providers) if developer_provider_name is not None: pulumi.set(__self__, "developer_provider_name", developer_provider_name) if identity_pool_name is not None: pulumi.set(__self__, "identity_pool_name", identity_pool_name) if openid_connect_provider_arns is not None: pulumi.set(__self__, "openid_connect_provider_arns", openid_connect_provider_arns) if saml_provider_arns is not None: pulumi.set(__self__, "saml_provider_arns", saml_provider_arns) if supported_login_providers is not None: pulumi.set(__self__, "supported_login_providers", supported_login_providers) if tags is not None: pulumi.set(__self__, "tags", tags) if tags_all is not None: pulumi.set(__self__, "tags_all", tags_all) @property @pulumi.getter(name="allowClassicFlow") def allow_classic_flow(self) -> Optional[pulumi.Input[bool]]: """ Enables or disables the classic / basic authentication flow. Default is `false`. """ return pulumi.get(self, "allow_classic_flow") @allow_classic_flow.setter def allow_classic_flow(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "allow_classic_flow", value) @property @pulumi.getter(name="allowUnauthenticatedIdentities") def allow_unauthenticated_identities(self) -> Optional[pulumi.Input[bool]]: """ Whether the identity pool supports unauthenticated logins or not. """ return pulumi.get(self, "allow_unauthenticated_identities") @allow_unauthenticated_identities.setter def allow_unauthenticated_identities(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "allow_unauthenticated_identities", value) @property @pulumi.getter def arn(self) -> Optional[pulumi.Input[str]]: """ The ARN of the identity pool. """ return pulumi.get(self, "arn") @arn.setter def arn(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "arn", value) @property @pulumi.getter(name="cognitoIdentityProviders") def cognito_identity_providers(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['IdentityPoolCognitoIdentityProviderArgs']]]]: """ An array of Amazon Cognito Identity user pools and their client IDs. """ return pulumi.get(self, "cognito_identity_providers") @cognito_identity_providers.setter def cognito_identity_providers(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['IdentityPoolCognitoIdentityProviderArgs']]]]): pulumi.set(self, "cognito_identity_providers", value) @property @pulumi.getter(name="developerProviderName") def developer_provider_name(self) -> Optional[pulumi.Input[str]]: """ The "domain" by which Cognito will refer to your users. This name acts as a placeholder that allows your backend and the Cognito service to communicate about the developer provider. """ return pulumi.get(self, "developer_provider_name") @developer_provider_name.setter def developer_provider_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "developer_provider_name", value) @property @pulumi.getter(name="identityPoolName") def identity_pool_name(self) -> Optional[pulumi.Input[str]]: """ The Cognito Identity Pool name. """ return pulumi.get(self, "identity_pool_name") @identity_pool_name.setter def identity_pool_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "identity_pool_name", value) @property @pulumi.getter(name="openidConnectProviderArns") def openid_connect_provider_arns(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ Set of OpendID Connect provider ARNs. """ return pulumi.get(self, "openid_connect_provider_arns") @openid_connect_provider_arns.setter def openid_connect_provider_arns(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "openid_connect_provider_arns", value) @property @pulumi.getter(name="samlProviderArns") def saml_provider_arns(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ An array of Amazon Resource Names (ARNs) of the SAML provider for your identity. """ return pulumi.get(self, "saml_provider_arns") @saml_provider_arns.setter def saml_provider_arns(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "saml_provider_arns", value) @property @pulumi.getter(name="supportedLoginProviders") def supported_login_providers(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]: """ Key-Value pairs mapping provider names to provider app IDs. """ return pulumi.get(self, "supported_login_providers") @supported_login_providers.setter def supported_login_providers(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]): pulumi.set(self, "supported_login_providers", value) @property @pulumi.getter def tags(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]: """ A map of tags to assign to the Identity Pool. .If configured with a provider `default_tags` configuration block present, tags with matching keys will overwrite those defined at the provider-level. """ return pulumi.get(self, "tags") @tags.setter def tags(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]): pulumi.set(self, "tags", value) @property @pulumi.getter(name="tagsAll") def tags_all(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]: """ A map of tags assigned to the resource, including those inherited from the provider . """ return pulumi.get(self, "tags_all") @tags_all.setter def tags_all(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]): pulumi.set(self, "tags_all", value) class IdentityPool(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, allow_classic_flow: Optional[pulumi.Input[bool]] = None, allow_unauthenticated_identities: Optional[pulumi.Input[bool]] = None, cognito_identity_providers: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['IdentityPoolCognitoIdentityProviderArgs']]]]] = None, developer_provider_name: Optional[pulumi.Input[str]] = None, identity_pool_name: Optional[pulumi.Input[str]] = None, openid_connect_provider_arns: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, saml_provider_arns: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, supported_login_providers: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, __props__=None): """ Provides an AWS Cognito Identity Pool. ## Example Usage ```python import pulumi import pulumi_aws as aws default = aws.iam.SamlProvider("default", saml_metadata_document=(lambda path: open(path).read())("saml-metadata.xml")) main = aws.cognito.IdentityPool("main", identity_pool_name="identity pool", allow_unauthenticated_identities=False, allow_classic_flow=False, cognito_identity_providers=[ aws.cognito.IdentityPoolCognitoIdentityProviderArgs( client_id="6lhlkkfbfb4q5kpp90urffae", provider_name="cognito-idp.us-east-1.amazonaws.com/us-east-1_Tv0493apJ", server_side_token_check=False, ), aws.cognito.IdentityPoolCognitoIdentityProviderArgs( client_id="7kodkvfqfb4qfkp39eurffae", provider_name="cognito-idp.us-east-1.amazonaws.com/eu-west-1_Zr231apJu", server_side_token_check=False, ), ], supported_login_providers={ "graph.facebook.com": "7346241598935552", "accounts.google.com": "123456789012.apps.googleusercontent.com", }, saml_provider_arns=[default.arn], openid_connect_provider_arns=["arn:aws:iam::123456789012:oidc-provider/id.example.com"]) ``` ## Import Cognito Identity Pool can be imported using the name, e.g. ```sh $ pulumi import aws:cognito/identityPool:IdentityPool mypool <identity-pool-id> ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[bool] allow_classic_flow: Enables or disables the classic / basic authentication flow. Default is `false`. :param pulumi.Input[bool] allow_unauthenticated_identities: Whether the identity pool supports unauthenticated logins or not. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['IdentityPoolCognitoIdentityProviderArgs']]]] cognito_identity_providers: An array of Amazon Cognito Identity user pools and their client IDs. :param pulumi.Input[str] developer_provider_name: The "domain" by which Cognito will refer to your users. This name acts as a placeholder that allows your backend and the Cognito service to communicate about the developer provider. :param pulumi.Input[str] identity_pool_name: The Cognito Identity Pool name. :param pulumi.Input[Sequence[pulumi.Input[str]]] openid_connect_provider_arns: Set of OpendID Connect provider ARNs. :param pulumi.Input[Sequence[pulumi.Input[str]]] saml_provider_arns: An array of Amazon Resource Names (ARNs) of the SAML provider for your identity. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] supported_login_providers: Key-Value pairs mapping provider names to provider app IDs. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A map of tags to assign to the Identity Pool. .If configured with a provider `default_tags` configuration block present, tags with matching keys will overwrite those defined at the provider-level. """ ... @overload def __init__(__self__, resource_name: str, args: IdentityPoolArgs, opts: Optional[pulumi.ResourceOptions] = None): """ Provides an AWS Cognito Identity Pool. ## Example Usage ```python import pulumi import pulumi_aws as aws default = aws.iam.SamlProvider("default", saml_metadata_document=(lambda path: open(path).read())("saml-metadata.xml")) main = aws.cognito.IdentityPool("main", identity_pool_name="identity pool", allow_unauthenticated_identities=False, allow_classic_flow=False, cognito_identity_providers=[ aws.cognito.IdentityPoolCognitoIdentityProviderArgs( client_id="6lhlkkfbfb4q5kpp90urffae", provider_name="cognito-idp.us-east-1.amazonaws.com/us-east-1_Tv0493apJ", server_side_token_check=False, ), aws.cognito.IdentityPoolCognitoIdentityProviderArgs( client_id="7kodkvfqfb4qfkp39eurffae", provider_name="cognito-idp.us-east-1.amazonaws.com/eu-west-1_Zr231apJu", server_side_token_check=False, ), ], supported_login_providers={ "graph.facebook.com": "7346241598935552", "accounts.google.com": "123456789012.apps.googleusercontent.com", }, saml_provider_arns=[default.arn], openid_connect_provider_arns=["arn:aws:iam::123456789012:oidc-provider/id.example.com"]) ``` ## Import Cognito Identity Pool can be imported using the name, e.g. ```sh $ pulumi import aws:cognito/identityPool:IdentityPool mypool <identity-pool-id> ``` :param str resource_name: The name of the resource. :param IdentityPoolArgs args: The arguments to use to populate this resource's properties. :param pulumi.ResourceOptions opts: Options for the resource. """ ... def __init__(__self__, resource_name: str, *args, **kwargs): resource_args, opts = _utilities.get_resource_args_opts(IdentityPoolArgs, pulumi.ResourceOptions, *args, **kwargs) if resource_args is not None: __self__._internal_init(resource_name, opts, **resource_args.__dict__) else: __self__._internal_init(resource_name, *args, **kwargs) def _internal_init(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, allow_classic_flow: Optional[pulumi.Input[bool]] = None, allow_unauthenticated_identities: Optional[pulumi.Input[bool]] = None, cognito_identity_providers: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['IdentityPoolCognitoIdentityProviderArgs']]]]] = None, developer_provider_name: Optional[pulumi.Input[str]] = None, identity_pool_name: Optional[pulumi.Input[str]] = None, openid_connect_provider_arns: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, saml_provider_arns: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, supported_login_providers: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = IdentityPoolArgs.__new__(IdentityPoolArgs) __props__.__dict__["allow_classic_flow"] = allow_classic_flow __props__.__dict__["allow_unauthenticated_identities"] = allow_unauthenticated_identities __props__.__dict__["cognito_identity_providers"] = cognito_identity_providers __props__.__dict__["developer_provider_name"] = developer_provider_name if identity_pool_name is None and not opts.urn: raise TypeError("Missing required property 'identity_pool_name'") __props__.__dict__["identity_pool_name"] = identity_pool_name __props__.__dict__["openid_connect_provider_arns"] = openid_connect_provider_arns __props__.__dict__["saml_provider_arns"] = saml_provider_arns __props__.__dict__["supported_login_providers"] = supported_login_providers __props__.__dict__["tags"] = tags __props__.__dict__["arn"] = None __props__.__dict__["tags_all"] = None super(IdentityPool, __self__).__init__( 'aws:cognito/identityPool:IdentityPool', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, allow_classic_flow: Optional[pulumi.Input[bool]] = None, allow_unauthenticated_identities: Optional[pulumi.Input[bool]] = None, arn: Optional[pulumi.Input[str]] = None, cognito_identity_providers: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['IdentityPoolCognitoIdentityProviderArgs']]]]] = None, developer_provider_name: Optional[pulumi.Input[str]] = None, identity_pool_name: Optional[pulumi.Input[str]] = None, openid_connect_provider_arns: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, saml_provider_arns: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, supported_login_providers: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, tags_all: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None) -> 'IdentityPool': """ Get an existing IdentityPool resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[bool] allow_classic_flow: Enables or disables the classic / basic authentication flow. Default is `false`. :param pulumi.Input[bool] allow_unauthenticated_identities: Whether the identity pool supports unauthenticated logins or not. :param pulumi.Input[str] arn: The ARN of the identity pool. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['IdentityPoolCognitoIdentityProviderArgs']]]] cognito_identity_providers: An array of Amazon Cognito Identity user pools and their client IDs. :param pulumi.Input[str] developer_provider_name: The "domain" by which Cognito will refer to your users. This name acts as a placeholder that allows your backend and the Cognito service to communicate about the developer provider. :param pulumi.Input[str] identity_pool_name: The Cognito Identity Pool name. :param pulumi.Input[Sequence[pulumi.Input[str]]] openid_connect_provider_arns: Set of OpendID Connect provider ARNs. :param pulumi.Input[Sequence[pulumi.Input[str]]] saml_provider_arns: An array of Amazon Resource Names (ARNs) of the SAML provider for your identity. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] supported_login_providers: Key-Value pairs mapping provider names to provider app IDs. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A map of tags to assign to the Identity Pool. .If configured with a provider `default_tags` configuration block present, tags with matching keys will overwrite those defined at the provider-level. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags_all: A map of tags assigned to the resource, including those inherited from the provider . """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _IdentityPoolState.__new__(_IdentityPoolState) __props__.__dict__["allow_classic_flow"] = allow_classic_flow __props__.__dict__["allow_unauthenticated_identities"] = allow_unauthenticated_identities __props__.__dict__["arn"] = arn __props__.__dict__["cognito_identity_providers"] = cognito_identity_providers __props__.__dict__["developer_provider_name"] = developer_provider_name __props__.__dict__["identity_pool_name"] = identity_pool_name __props__.__dict__["openid_connect_provider_arns"] = openid_connect_provider_arns __props__.__dict__["saml_provider_arns"] = saml_provider_arns __props__.__dict__["supported_login_providers"] = supported_login_providers __props__.__dict__["tags"] = tags __props__.__dict__["tags_all"] = tags_all return IdentityPool(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="allowClassicFlow") def allow_classic_flow(self) -> pulumi.Output[Optional[bool]]: """ Enables or disables the classic / basic authentication flow. Default is `false`. """ return pulumi.get(self, "allow_classic_flow") @property @pulumi.getter(name="allowUnauthenticatedIdentities") def allow_unauthenticated_identities(self) -> pulumi.Output[Optional[bool]]: """ Whether the identity pool supports unauthenticated logins or not. """ return pulumi.get(self, "allow_unauthenticated_identities") @property @pulumi.getter def arn(self) -> pulumi.Output[str]: """ The ARN of the identity pool. """ return pulumi.get(self, "arn") @property @pulumi.getter(name="cognitoIdentityProviders") def cognito_identity_providers(self) -> pulumi.Output[Optional[Sequence['outputs.IdentityPoolCognitoIdentityProvider']]]: """ An array of Amazon Cognito Identity user pools and their client IDs. """ return pulumi.get(self, "cognito_identity_providers") @property @pulumi.getter(name="developerProviderName") def developer_provider_name(self) -> pulumi.Output[Optional[str]]: """ The "domain" by which Cognito will refer to your users. This name acts as a placeholder that allows your backend and the Cognito service to communicate about the developer provider. """ return pulumi.get(self, "developer_provider_name") @property @pulumi.getter(name="identityPoolName") def identity_pool_name(self) -> pulumi.Output[str]: """ The Cognito Identity Pool name. """ return pulumi.get(self, "identity_pool_name") @property @pulumi.getter(name="openidConnectProviderArns") def openid_connect_provider_arns(self) -> pulumi.Output[Optional[Sequence[str]]]: """ Set of OpendID Connect provider ARNs. """ return pulumi.get(self, "openid_connect_provider_arns") @property @pulumi.getter(name="samlProviderArns") def saml_provider_arns(self) -> pulumi.Output[Optional[Sequence[str]]]: """ An array of Amazon Resource Names (ARNs) of the SAML provider for your identity. """ return pulumi.get(self, "saml_provider_arns") @property @pulumi.getter(name="supportedLoginProviders") def supported_login_providers(self) -> pulumi.Output[Optional[Mapping[str, str]]]: """ Key-Value pairs mapping provider names to provider app IDs. """ return pulumi.get(self, "supported_login_providers") @property @pulumi.getter def tags(self) -> pulumi.Output[Optional[Mapping[str, str]]]: """ A map of tags to assign to the Identity Pool. .If configured with a provider `default_tags` configuration block present, tags with matching keys will overwrite those defined at the provider-level. """ return pulumi.get(self, "tags") @property @pulumi.getter(name="tagsAll") def tags_all(self) -> pulumi.Output[Mapping[str, str]]: """ A map of tags assigned to the resource, including those inherited from the provider . """ return pulumi.get(self, "tags_all")

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Python

gpMgmt/bin/gppylib/operations/test/unit/test_unit_persistent_rebuild.py

nurikk/gpdb

04fe0202c59721826d1eda2b19d73e5572893fcb

[ "PostgreSQL", "Apache-2.0" ]

1

2020-01-23T04:09:39.000Z

gpMgmt/bin/gppylib/operations/test/unit/test_unit_persistent_rebuild.py

chrishajas/gpdb

564b9235a46e2ead1650b753b2d070796cced6f6

[ "PostgreSQL", "Apache-2.0" ]

null

gpMgmt/bin/gppylib/operations/test/unit/test_unit_persistent_rebuild.py

chrishajas/gpdb

564b9235a46e2ead1650b753b2d070796cced6f6

[ "PostgreSQL", "Apache-2.0" ]

1

2020-11-17T09:03:53.000Z

#!/usr/bin/env python # # Copyright (c) Pivotal Inc 2014. All Rights Reserved. # import os import re import shutil import unittest2 as unittest from collections import defaultdict from gppylib.gpversion import GpVersion from gppylib.commands.base import Command, CommandResult, ExecutionError from mock import patch, MagicMock, Mock, mock_open from gppylib.operations.persistent_rebuild import ValidateContentID, DbIdInfo, GetDbIdInfo, BackupPersistentTableFiles,\ RebuildTable, RebuildPersistentTables, ValidatePersistentBackup,\ RunBackupRestore, ValidateMD5Sum remove_per_db_pt_entry = False remove_global_pt_entry = False def pt_query_side_effect(*args, **kwargs): # missing the global persistent table entry GET_ALL_DATABASES = """select oid, datname from pg_database""" PER_DATABASE_PT_FILES_QUERY = """SELECT relfilenode FROM pg_class WHERE oid IN (5094, 5095)""" GLOBAL_PT_FILES_QUERY = """SELECT relfilenode FROM pg_class WHERE oid IN (5090, 5091, 5092, 5093)""" if args[1] == GET_ALL_DATABASES: return [[123, 'db1']] elif args[1] == PER_DATABASE_PT_FILES_QUERY: if remove_per_db_pt_entry: return [[5095]] else: return [[5094], [5095]] else: if remove_global_pt_entry: return [[5091], [5092], [5093]] else: return [[5090], [5091], [5092], [5093]] class ValidateContentIDTestCase(unittest.TestCase): def setUp(self): self.contentid_validator = ValidateContentID(content_id=None, contentid_file=None, gparray=None) @patch('os.path.isfile', return_value=True) def test_validate_contentid_file_with_valid_content_ids(self, mock1): expected = [1, 2, 3] file_contents = '1\n2\n3' self.contentid_validator.contentid_file = '/tmp/contentid_file' m = MagicMock() m.return_value.__enter__.return_value.__iter__.return_value = iter(file_contents.split()) with patch('__builtin__.open', m, create=True): self.assertEqual(expected, self.contentid_validator._validate_contentid_file()) @patch('os.path.isfile', return_value=True) def test_validate_contentid_file_with_spaces_content_ids(self, mock1): expected = [1, 2, 3] file_contents = ' 1\n2 \n3 \n' self.contentid_validator.contentid_file = '/tmp/contentid_file' m = MagicMock() m.return_value.__enter__.return_value.__iter__.return_value = iter(file_contents.split()) with patch('__builtin__.open', m, create=True): self.assertEqual(expected, self.contentid_validator._validate_contentid_file()) @patch('os.path.isfile', return_value=True) def test_validate_contentid_file_with_invalid_content_ids(self, mock1): expected = [1, 2, 3] file_contents = '1\nb\n3' self.contentid_validator.contentid_file = '/tmp/contentid_file' m = MagicMock() m.return_value.__enter__.return_value.__iter__.return_value = iter(file_contents.split()) with patch('__builtin__.open', m, create=True): with self.assertRaisesRegexp(Exception, 'Found non integer content id "b" in contentid file "/tmp/contentid_file"'): self.contentid_validator._validate_contentid_file() @patch('os.path.isfile', return_value=True) def test_validate_contentid_file_with_empty_file(self, mock1): file_contents = '' self.contentid_validator.contentid_file = '/tmp/contentid_file' m = MagicMock() m.return_value.__enter__.return_value.__iter__.return_value = iter(file_contents.split()) with patch('__builtin__.open', m, create=True): with self.assertRaisesRegexp(Exception, 'Please make sure there is atleast one integer content ID in the file'): self.contentid_validator._validate_contentid_file() @patch('os.path.isfile', return_value=False) def test_validate_contentid_file_with_non_existent_file(self, mock1): expected = [1, 2, 3] file_contents = '1\nb\n3' self.contentid_validator.contentid_file = '/tmp/contentid_file' with self.assertRaisesRegexp(Exception, 'Unable to find contentid file "/tmp/contentid_file"'): self.contentid_validator._validate_contentid_file() @patch('os.path.isfile', return_value=True) def test_validate_contentid_file_with_blank_lines(self, mock1): expected = [1, 2] file_contents = '1\n\n\n2' self.contentid_validator.contentid_file = '/tmp/contentid_file' m = MagicMock() m.return_value.__enter__.return_value.__iter__.return_value = iter(file_contents.split()) with patch('__builtin__.open', m, create=True): self.assertEqual(expected, self.contentid_validator._validate_contentid_file()) @patch('os.path.isfile', return_value=True) def test_validate_contentid_file_with_negative_integers(self, mock1): expected = [-1, 2] file_contents = '-1\n2' self.contentid_validator.contentid_file = '/tmp/contentid_file' m = MagicMock() m.return_value.__enter__.return_value.__iter__.return_value = iter(file_contents.split()) with patch('__builtin__.open', m, create=True): self.assertEqual(expected, self.contentid_validator._validate_contentid_file()) def test_validate_content_id_with_valid_segments(self): expected = [1, 2, 3] mock_segs = [] for i in range(6): m = Mock() m.getSegmentContentId = Mock() m.getSegmentContentId.return_value = (i % 3) + 1 mock_segs.append(m) gparray = Mock() gparray.getDbList = Mock() gparray.getDbList.return_value = mock_segs self.contentid_validator.gparray = gparray self.contentid_validator.content_id = [1, 2, 3] self.assertEqual(expected, self.contentid_validator._validate_content_id()) def test_validate_content_id_with_invalid_segments(self): mock_segs = [] for i in range(6): m = Mock() m.getSegmentContentId = Mock() m.getSegmentContentId.return_value = i + 10 mock_segs.append(m) gparray = Mock() gparray.getDbList = Mock() gparray.getDbList.return_value = mock_segs self.contentid_validator.gparray = gparray self.contentid_validator.content_id = [1, 2, 3] with self.assertRaisesRegexp(Exception, 'The following content ids are not present in gp_segment_configuration: 1, 2, 3'): self.contentid_validator._validate_content_id() def test_validate_content_id_with_primary_segment_down(self): mock_segs = [] for i in range(6): m = Mock() m.getSegmentContentId = Mock() m.getSegmentContentId.return_value = (i % 3) + 1 if i == 1: m.getSegmentStatus = Mock() m.getSegmentStatus.return_value = 'd' mock_segs.append(m) gparray = Mock() gparray.getDbList = Mock() gparray.getDbList.return_value = mock_segs self.contentid_validator.gparray = gparray self.contentid_validator.content_id = [1, 2, 3] self.contentid_validator._validate_content_id() def test_validate_content_id_with_resync(self): mock_segs = [] for i in range(6): m = Mock() m.getSegmentContentId.return_value = (i % 3) + 1 m.getSegmentStatus.return_value = 'u' if i == 1: m.getSegmentMode.return_value = 'r' else: m.getSegmentMode.return_value = 's' mock_segs.append(m) gparray = Mock() gparray.getDbList = Mock() gparray.getDbList.return_value = mock_segs self.contentid_validator.gparray = gparray self.contentid_validator.content_id = [1, 2, 3] with self.assertRaisesRegexp(Exception, 'Can not rebuild persistent tables for content ids that are in resync mode'): self.contentid_validator._validate_content_id() @patch('gppylib.operations.persistent_rebuild.ask_yesno', return_value=False) def test_validate_content_id_with_some_others_resync(self, mock1): mock_segs = [] for i in range(6): m = Mock() m.getSegmentContentId.return_value = (i % 3) + 1 m.getSegmentStatus.return_value = 'u' if m.getSegmentContentId.return_value in (1, 2): m.getSegmentMode.return_value = 'r' else: m.getSegmentMode.return_value = 's' mock_segs.append(m) gparray = Mock() gparray.getDbList = Mock() gparray.getDbList.return_value = mock_segs self.contentid_validator.gparray = gparray self.contentid_validator.content_id = [3] with self.assertRaisesRegexp(Exception, 'Aborting rebuild due to user request'): self.contentid_validator._validate_content_id() def test_validate_content_id_with_change_tracking_segments(self): mock_segs = [] for i in range(6): m = Mock() m.getSegmentContentId = Mock() m.getSegmentContentId.return_value = (i % 3) + 1 if i == 1: m.getSegmentStatus = Mock() m.getSegmentStatus.return_value = 'c' mock_segs.append(m) gparray = Mock() gparray.getDbList = Mock() gparray.getDbList.return_value = mock_segs self.contentid_validator.gparray = gparray self.contentid_validator.content_id = [1, 2, 3] self.assertEqual([1, 2, 3], self.contentid_validator._validate_content_id()) def test_parse_content_id(self): self.contentid_validator.content_id = '1, 2, 3' self.assertEqual([1, 2, 3], self.contentid_validator._parse_content_id()) def test_parse_content_id_valid_single_content_id(self): self.contentid_validator.content_id = '-1' self.assertEqual([-1], self.contentid_validator._parse_content_id()) def test_parse_content_id_invalid_comma_separated_list(self): self.contentid_validator.content_id = '1, 2, 3,,' with self.assertRaisesRegexp(Exception, 'Some content ids are not integers:'): self.contentid_validator._parse_content_id() def test_parse_content_id_invalid_integers(self): self.contentid_validator.content_id = '1, 2, a, x,' with self.assertRaisesRegexp(Exception, 'Some content ids are not integers:'): self.contentid_validator._parse_content_id() @patch('gppylib.operations.persistent_rebuild.ValidateContentID._validate_content_id', return_value=[1, 2, 3]) def test_validate_with_only_content_id(self, mock1): self.contentid_validator.content_id = '1, 2, 3' self.contentid_validator.contentid_file = None self.assertEqual([1, 2, 3], self.contentid_validator.validate()) @patch('gppylib.operations.persistent_rebuild.ValidateContentID._validate_content_id', side_effect=Exception('ERROR')) def test_validate_with_only_content_id_with_error(self, mock1): self.contentid_validator.content_id = '1, 2, 3' self.contentid_validator.contentid_file = None with self.assertRaisesRegexp(Exception, 'ERROR'): self.contentid_validator.validate() @patch('gppylib.operations.persistent_rebuild.ValidateContentID._validate_contentid_file', return_value=[1, 2, 3]) @patch('gppylib.operations.persistent_rebuild.ValidateContentID._validate_content_id', return_value=[1, 2, 3]) def test_validate_with_only_content_id_file(self, mock1, mock2): self.contentid_validator.contentid_file = '/tmp/f1' self.contentid_validator.content_id = None self.assertEqual([1, 2, 3], self.contentid_validator.validate()) @patch('gppylib.operations.persistent_rebuild.ValidateContentID._validate_contentid_file', side_effect=Exception('ERROR')) def test_validate_with_only_content_id_file_with_error(self, mock1): self.contentid_validator.contentid_file = '/tmp/f1' self.contentid_validator.content_id = None with self.assertRaisesRegexp(Exception, 'ERROR'): self.contentid_validator.validate() class GetDbIdInfoTestCase(unittest.TestCase): def setUp(self): self.dbid_info = GetDbIdInfo(gparray=None, content_id=None) @patch('gppylib.operations.persistent_rebuild.dbconn.execSQL', return_value=[(1000, '2000'), (1001, '2001 2002')]) @patch('gppylib.operations.persistent_rebuild.dbconn.connect') @patch('gppylib.operations.persistent_rebuild.dbconn.DbURL') def test_get_filespace_to_tablespace_map(self, mock1, mock2, mock3): m = Mock() m.getSegmentFilespaces.return_value = {1000: '/tmp/fs1', 1001: '/tmp/fs2'} self.assertEqual({1000: [2000], 1001: [2001, 2002]}, self.dbid_info._get_filespace_to_tablespace_map(m)) @patch('gppylib.operations.persistent_rebuild.dbconn.execSQL', return_value=[]) @patch('gppylib.operations.persistent_rebuild.dbconn.connect') @patch('gppylib.operations.persistent_rebuild.dbconn.DbURL') def test_get_filespace_to_tablespace_map_empty_filespaces(self, mock1, mock2, mock3): m = Mock() m.getSegmentFilespaces.return_value = {} self.assertEqual({}, self.dbid_info._get_filespace_to_tablespace_map(m)) @patch('gppylib.operations.persistent_rebuild.dbconn.execSQL', return_value=[(1000, '2000'), (1001, '2001 2002')]) @patch('gppylib.operations.persistent_rebuild.dbconn.connect') @patch('gppylib.operations.persistent_rebuild.dbconn.DbURL') def test_get_tablespace_to_dboid_map(self, mock1, mock2, mock3): ts_oids = [1000, 1001] self.assertEqual({1000: [2000], 1001: [2001, 2002]}, self.dbid_info._get_tablespace_to_dboid_map(ts_oids)) @patch('gppylib.operations.persistent_rebuild.dbconn.execSQL', return_value=[]) @patch('gppylib.operations.persistent_rebuild.dbconn.connect') @patch('gppylib.operations.persistent_rebuild.dbconn.DbURL') def test_get_tablespace_to_dboid_map_empty_tablespaces(self, mock1, mock2, mock3): ts_oids = [] self.assertEqual({}, self.dbid_info._get_tablespace_to_dboid_map(ts_oids)) @patch('gppylib.operations.persistent_rebuild.GetDbIdInfo._get_filespace_to_tablespace_map', return_value={}) @patch('gppylib.operations.persistent_rebuild.GetDbIdInfo._get_tablespace_to_dboid_map', return_value={}) def test_get_info_with_no_matching_content_id(self, mock1, mock2): mock_segs = [] for i in range(6): m = Mock() m.getSegmentContentId.return_value = i + 1 m.getSegmentRole.return_value = 'p' if i < 3 else 'm' m.getSegmentStatus.return_value = 'u' mock_segs.append(m) gparray = Mock() gparray.getDbList = Mock() gparray.getDbList.return_value = mock_segs self.dbid_info.gparray = gparray self.dbid_info.content_id = [11, 12] expected = [] self.assertEqual(expected, self.dbid_info.get_info()) @patch('gppylib.operations.persistent_rebuild.GetDbIdInfo._get_filespace_to_tablespace_map', return_value={1000: [2000, 2002], 1001: [2001, 2003]}) @patch('gppylib.operations.persistent_rebuild.GetDbIdInfo._get_tablespace_to_dboid_map', return_value={2000: [12345], 2001: [2345, 4567], 2002: [8765, 4634], 2003: [3456]}) def test_get_info_with_single_matching_content_id(self, mock1, mock2): mock_segs = [] for i in range(6): m = Mock() m.getSegmentContentId.return_value = i + 1 m.getSegmentDbId.return_value = i + 2 m.getSegmentRole.return_value = 'p' if i < 3 else 'm' m.getSegmentStatus.return_value = 'u' m.getSegmentHostName.return_value = 'mdw1' m.getSegmentPort.return_value = 5001 + i m.getSegmentFilespaces.return_value = {1000: '/tmp/f1', 1001: '/tmp/f2'} mock_segs.append(m) gparray = Mock() gparray.getDbList = Mock() gparray.getDbList.return_value = mock_segs self.dbid_info.gparray = gparray self.dbid_info.content_id = [1, 10] expected = [DbIdInfo(1, 'p', 2, 5001, 'mdw1', {1000: '/tmp/f1', 1001: '/tmp/f2'}, {1000: [2000, 2002], 1001: [2001, 2003]}, {2000: [12345], 2001: [2345, 4567], 2002: [8765, 4634], 2003: [3456]})] self.assertEqual(expected, self.dbid_info.get_info()) @patch('gppylib.operations.persistent_rebuild.GetDbIdInfo._get_filespace_to_tablespace_map', return_value={}) @patch('gppylib.operations.persistent_rebuild.GetDbIdInfo._get_tablespace_to_dboid_map', return_value={}) def test_get_info_with_single_matching_content_id_and_no_filespaces(self, mock1, mock2): mock_segs = [] for i in range(6): m = Mock() m.getSegmentContentId.return_value = i + 1 m.getSegmentDbId.return_value = i + 2 m.getSegmentRole.return_value = 'p' if i < 3 else 'm' m.getSegmentStatus.return_value = 'u' m.getSegmentHostName.return_value = 'mdw1' m.getSegmentPort.return_value = 5001 + i m.getSegmentFilespaces.return_value = {} mock_segs.append(m) gparray = Mock() gparray.getDbList = Mock() gparray.getDbList.return_value = mock_segs self.dbid_info.gparray = gparray self.dbid_info.content_id = [1, 10] expected = [DbIdInfo(1, 'p', 2, 5001, 'mdw1', {}, {}, {})] self.assertEqual(expected, self.dbid_info.get_info()) @patch('gppylib.operations.persistent_rebuild.GetDbIdInfo._get_filespace_to_tablespace_map', return_value={}) @patch('gppylib.operations.persistent_rebuild.GetDbIdInfo._get_tablespace_to_dboid_map', return_value={}) def test_get_info_with_single_matching_content_id_and_no_tablespaces(self, mock1, mock2): mock_segs = [] for i in range(6): m = Mock() m.getSegmentContentId.return_value = i + 1 m.getSegmentDbId.return_value = i + 2 m.getSegmentRole.return_value = 'p' if i < 3 else 'm' m.getSegmentStatus.return_value = 'u' m.getSegmentHostName.return_value = 'mdw1' m.getSegmentPort.return_value = 5001 + i m.getSegmentFilespaces.return_value = {1000: '/tmp/f1', 1001: '/tmp/f2'} mock_segs.append(m) gparray = Mock() gparray.getDbList = Mock() gparray.getDbList.return_value = mock_segs self.dbid_info.gparray = gparray self.dbid_info.content_id = [1, 10] expected = [DbIdInfo(1, 'p', 2, 5001, 'mdw1', {1000: '/tmp/f1', 1001: '/tmp/f2'}, {}, {})] self.assertEqual(expected, self.dbid_info.get_info()) @patch('gppylib.operations.persistent_rebuild.GetDbIdInfo._get_filespace_to_tablespace_map', return_value={}) @patch('gppylib.operations.persistent_rebuild.GetDbIdInfo._get_tablespace_to_dboid_map', return_value={}) def test_get_info_with_single_matching_content_id_and_down_segments(self, mock1, mock2): mock_segs = [] for i in range(6): m = Mock() m.getSegmentContentId.return_value = i + 1 m.getSegmentDbId.return_value = i + 2 m.getSegmentRole.return_value = 'p' if i < 3 else 'm' m.getSegmentStatus.return_value = 'd' if i == 3 else 'u' m.getSegmentHostName.return_value = 'mdw1' m.getSegmentPort.return_value = 5001 + i m.getSegmentFilespaces.return_value = {1000: '/tmp/f1', 1001: '/tmp/f2'} mock_segs.append(m) gparray = Mock() gparray.getDbList = Mock() gparray.getDbList.return_value = mock_segs self.dbid_info.gparray = gparray self.dbid_info.content_id = [1, 10] expected = [DbIdInfo(1, 'p', 2, 5001, 'mdw1', {1000: '/tmp/f1', 1001: '/tmp/f2'}, {}, {})] self.assertEqual(expected, self.dbid_info.get_info()) @patch('gppylib.operations.persistent_rebuild.GetDbIdInfo._get_filespace_to_tablespace_map', return_value={}) @patch('gppylib.operations.persistent_rebuild.GetDbIdInfo._get_tablespace_to_dboid_map', return_value={}) def test_get_info_with_single_matching_content_id_and_segment_in_ct(self, mock1, mock2): mock_segs = [] for i in range(6): m = Mock() m.getSegmentContentId.return_value = i + 1 m.getSegmentDbId.return_value = i + 2 m.getSegmentRole.return_value = 'p' if i < 3 else 'm' m.getSegmentStatus.return_value = 'c' if i == 3 else 'u' m.getSegmentHostName.return_value = 'mdw1' m.getSegmentPort.return_value = 5001 + i m.getSegmentFilespaces.return_value = {1000: '/tmp/f1', 1001: '/tmp/f2'} mock_segs.append(m) gparray = Mock() gparray.getDbList = Mock() gparray.getDbList.return_value = mock_segs self.dbid_info.gparray = gparray self.dbid_info.content_id = [1, 10] expected = [DbIdInfo(1, 'p', 2, 5001, 'mdw1', {1000: '/tmp/f1', 1001: '/tmp/f2'}, {}, {})] self.assertEqual(expected, self.dbid_info.get_info()) @patch('gppylib.operations.persistent_rebuild.GetDbIdInfo._get_filespace_to_tablespace_map', return_value={}) @patch('gppylib.operations.persistent_rebuild.GetDbIdInfo._get_tablespace_to_dboid_map', return_value={}) def test_get_info_with_single_matching_content_id_and_content_down(self, mock1, mock2): mock_segs = [] for i in range(6): m = Mock() m.getSegmentContentId.return_value = i + 1 m.getSegmentDbId.return_value = i + 2 m.getSegmentRole.return_value = 'p' if i < 3 else 'm' m.getSegmentStatus.return_value = 'd' if i == 3 or i == 0 else 'u' m.getSegmentHostName.return_value = 'mdw1' m.getSegmentPort.return_value = 5001 + i m.getSegmentFilespaces.return_value = {1000: '/tmp/f1', 1001: '/tmp/f2'} mock_segs.append(m) gparray = Mock() gparray.getDbList = Mock() gparray.getDbList.return_value = mock_segs self.dbid_info.gparray = gparray self.dbid_info.content_id = [1, 10] expected = [DbIdInfo(1, 'p', 2, 5001, 'mdw1', {1000: '/tmp/f1', 1001: '/tmp/f2'}, {}, {})] self.assertEqual(expected, self.dbid_info.get_info()) class BackupPersistentTableFilesTestCase(unittest.TestCase): @classmethod def setUpClass(cls): # create persistent table files under new filespace/tablespace/database, # and also the default filespace, tablespace/database # timestamp: 20140604101010 try: # source files os.makedirs(os.path.join('/tmp/p1', '2000', '123')) os.makedirs(os.path.join('/tmp/p2', 'base', '234')) os.makedirs(os.path.join('/tmp/p2', 'global')) os.makedirs(os.path.join('/tmp/p2', 'pg_xlog')) os.makedirs(os.path.join('/tmp/p2', 'pg_clog')) os.makedirs(os.path.join('/tmp/p2', 'pg_distributedlog')) os.makedirs(os.path.join('/tmp/p1', 'empty')) open('/tmp/p1/2000/123/5094', 'w').close() open('/tmp/p1/2000/123/5094.1', 'w').close() open('/tmp/p1/2000/123/5095', 'w').close() open('/tmp/p2/base/234/5094', 'w').close() open('/tmp/p2/base/234/5095', 'w').close() open('/tmp/p2/global/pg_control', 'w').close() open('/tmp/p2/global/5090', 'w').close() open('/tmp/p2/global/5091', 'w').close() open('/tmp/p2/global/5092', 'w').close() open('/tmp/p2/global/5093', 'w').close() open('/tmp/p2/pg_xlog/0000', 'w').close() open('/tmp/p2/pg_clog/0000', 'w').close() open('/tmp/p2/pg_distributedlog/000', 'w').close() # Backup files os.makedirs(os.path.join('/tmp/p1', 'pt_rebuild_bk_20140604101010','2000', '123')) os.makedirs(os.path.join('/tmp/p2', 'pt_rebuild_bk_20140604101010', 'base', '234')) os.makedirs(os.path.join('/tmp/p2', 'pt_rebuild_bk_20140604101010', 'global')) os.makedirs(os.path.join('/tmp/p2', 'pt_rebuild_bk_20140604101010', 'pg_xlog')) os.makedirs(os.path.join('/tmp/p2', 'pt_rebuild_bk_20140604101010', 'pg_clog')) os.makedirs(os.path.join('/tmp/p2', 'pt_rebuild_bk_20140604101010', 'pg_distributedlog')) open('/tmp/p1/pt_rebuild_bk_20140604101010/2000/123/5094', 'w').close() open('/tmp/p1/pt_rebuild_bk_20140604101010/2000/123/5094.1', 'w').close() open('/tmp/p1/pt_rebuild_bk_20140604101010/2000/123/5095', 'w').close() open('/tmp/p2/pt_rebuild_bk_20140604101010/base/234/5094', 'w').close() open('/tmp/p2/pt_rebuild_bk_20140604101010/base/234/5095', 'w').close() open('/tmp/p2/pt_rebuild_bk_20140604101010/global/pg_control', 'w').close() open('/tmp/p2/pt_rebuild_bk_20140604101010/global/5090', 'w').close() open('/tmp/p2/pt_rebuild_bk_20140604101010/global/5091', 'w').close() open('/tmp/p2/pt_rebuild_bk_20140604101010/global/5092', 'w').close() open('/tmp/p2/pt_rebuild_bk_20140604101010/global/5093', 'w').close() open('/tmp/p2/pt_rebuild_bk_20140604101010/pg_xlog/0000', 'w').close() open('/tmp/p2/pt_rebuild_bk_20140604101010/pg_clog/0000', 'w').close() open('/tmp/p2/pt_rebuild_bk_20140604101010/pg_distributedlog/000', 'w').close() except OSError: pass @classmethod def tearDownClass(cls): try: shutil.rmtree('/tmp/p1') shutil.rmtree('/tmp/p2') except Exception: pass def setUp(self): self.backup_persistent_files = BackupPersistentTableFiles(dbid_info=None, perdb_pt_filenames={2:{17088L:['5094', '5095'],1L: [5094L, 5095L]}, 3:{17088L:['5094', '5095'],1L: [5094L, 5095L]}}, global_pt_filenames={2: ['5090', '5091', '5092', '5093'], 3: ['5090', '5091', '5092', '5093']}, timestamp='20140604101010') @patch('os.makedirs') def test_copy_files(self, mock1): src_ptfiles = ['/tmp/global/5090', '/tmp/global/5091'] dst_ptfiles = ['/tmp1/global/5090', '/tmp1/global/5091'] self.backup_persistent_files.pool = Mock() content = -1 actionType = 'backup' m = Mock() m.validate.return_value = {'/tmp/global/5090': 'abdfe', '/tmp/global/5091': 'abdfe', '/tmp1/global/5090': 'abdfe', '/tmp1/global/5091': 'abdfe'} self.backup_persistent_files.md5_validator = m self.backup_persistent_files._copy_files(src_ptfiles, dst_ptfiles, content, actionType) @patch('os.makedirs') @patch('gppylib.operations.persistent_rebuild.Command.run') def test_copy_files_with_restore(self, mock1, mock2): src_ptfiles = ['/tmp/global/5090', '/tmp/global/5091'] dst_ptfiles = ['/tmp1/global/5090', '/tmp1/global/5091'] self.backup_persistent_files.pool = Mock() m = Mock() content = -1 actionType = 'restore' m.validate.return_value = {'/tmp/global/5090': 'abdfe', '/tmp/global/5091': 'abdfe', '/tmp1/global/5090': 'abdfe', '/tmp1/global/5091': 'abdfe'} self.backup_persistent_files.md5_validator = m self.backup_persistent_files._copy_files(src_ptfiles, dst_ptfiles, content, actionType) @patch('os.makedirs') def test_copy_files_without_errors_with_no_files(self, mock1): src_ptfiles = [] dst_ptfiles = [] self.backup_persistent_files.pool = Mock() m = Mock() content = -1 actionType = 'backup' m.validate.side_effect = [{}, {}] self.backup_persistent_files.md5_validator = m self.backup_persistent_files._copy_files(src_ptfiles, dst_ptfiles, content, actionType) @patch('os.makedirs') @patch('gppylib.operations.persistent_rebuild.Command.run') def test_copy_files_without_errors_with_no_files_with_restore(self, mock1, mock2): src_ptfiles = [] dst_ptfiles = [] self.backup_persistent_files.pool = Mock() m = Mock() content = -1 actionType = 'restore' m.validate.side_effect = [{}, {}] self.backup_persistent_files.md5_validator = m self.backup_persistent_files.restore=True self.backup_persistent_files._copy_files(src_ptfiles, dst_ptfiles, content, actionType) @patch('os.makedirs') def test_copy_files_with_md5_mismatch(self, mock1): src_ptfiles = ['/tmp/global/5090', '/tmp/global/5091'] dst_ptfiles = ['/tmp1/global/5090', '/tmp1/global/5091'] self.backup_persistent_files.pool = Mock() m = Mock() content = -1 actionType = 'backup' m.validate.return_value = {'/tmp/global/5090': 'asdfads', '/tmp/global/5091': 'abdfe', '/tmp1/global/5090': 'asdfadsf', '/tmp1/global/5091': 'abdfe'} self.backup_persistent_files.md5_validator = m with self.assertRaisesRegexp(Exception, 'MD5 sums do not match! Expected md5 = "{\'/tmp/global/5090\': \'asdfads\'}",\ but actual md5 = "{\'/tmp1/global/5090\': \'asdfadsf\'}"'): self.backup_persistent_files._copy_files(src_ptfiles, dst_ptfiles, content, actionType) @patch('os.makedirs') @patch('gppylib.operations.persistent_rebuild.ValidateMD5Sum.validate', return_value={'5090': 'sdfadsf', '5091': 'sdfadsf'}) def test_copy_files_with_errors(self, mock1, mock2): src_ptfiles = ['/tmp/global/5090', '/tmp/global/5091'] dst_ptfiles = ['/tmp1/global/5090', '/tmp1/global/5091'] m = Mock() content = -1 actionType = 'backup' m.check_results.side_effect = ExecutionError('Error !!!', Mock()) self.backup_persistent_files.pool = m m.validate.return_value = {'5090': 'sdfadsf', '5091': 'sdfadsf'} self.backup_persistent_files.md5_validator = m with self.assertRaisesRegexp(ExecutionError, 'Error !!!'): self.backup_persistent_files._copy_files(src_ptfiles, dst_ptfiles, content, actionType) def test_build_PT_src_dest_pairs_filelist_None(self): src_dir = '' dest_dir = '' file_list = None self.assertEqual((None, None), self.backup_persistent_files.build_PT_src_dest_pairs(src_dir, dest_dir, file_list)) def test_build_PT_src_dest_pairs_filelist_Empty(self): src_dir = '' dest_dir = '' file_list = [] self.assertEqual((None, None), self.backup_persistent_files.build_PT_src_dest_pairs(src_dir, dest_dir, file_list)) def test_build_PT_src_dest_pairs_non_exist_src_dir(self): src_dir = 'tmp' dest_dir = '/tmp' file_list = ['5090'] self.assertEqual((None, None), self.backup_persistent_files.build_PT_src_dest_pairs(src_dir, dest_dir, file_list)) def test_build_PT_src_dest_pairs_empty_src_dir(self): src_dir = '/tmp/p1/empty' dest_dir = '/tmp/p1/empty' file_list = ['5090'] self.assertEqual((None, None), self.backup_persistent_files.build_PT_src_dest_pairs(src_dir, dest_dir, file_list)) def test_build_PT_src_dest_pairs_with_file_missed(self): src_dir = '/tmp/p1/' dest_dir = '/tmp/p1/' file_list = ['5555'] self.assertEqual((None, None), self.backup_persistent_files.build_PT_src_dest_pairs(src_dir, dest_dir, file_list)) def test_build_PT_src_dest_pairs_with_extended_file_exist(self): src_dir = '/tmp/p1/2000/123' dest_dir = '/tmp/p1/pt_rebuild_bk_20140604101010/2000/123' file_list = ['5094'] src_files = ['/tmp/p1/2000/123/5094', '/tmp/p1/2000/123/5094.1'] dest_files = ['/tmp/p1/pt_rebuild_bk_20140604101010/2000/123/5094', '/tmp/p1/pt_rebuild_bk_20140604101010/2000/123/5094.1'] self.assertEqual((src_files, dest_files), self.backup_persistent_files.build_PT_src_dest_pairs(src_dir, dest_dir, file_list)) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_files') def test_copy_global_pt_files(self, mock1): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) self.backup_persistent_files.dbid_info = [d1, d2] self.assertEqual(None, self.backup_persistent_files._copy_global_pt_files()) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles.build_PT_src_dest_pairs', return_value=[None, None]) def test_copy_global_pt_files_with_restore_with_failure(self, mock1): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) self.backup_persistent_files.dbid_info = [d1, d2] with self.assertRaisesRegexp(Exception, 'Missing global persistent files from source directory.'): self.backup_persistent_files._copy_global_pt_files(restore=True) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles.build_PT_src_dest_pairs', return_value=[None, None]) def test_copy_global_pt_files_without_restore_with_failure(self, mock1): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) self.backup_persistent_files.dbid_info = [d1, d2] with self.assertRaisesRegexp(Exception, 'Missing global persistent files from source directory.'): self.backup_persistent_files._copy_global_pt_files() @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_files', side_effect=[Mock(), Exception('Error while backing up files')]) def test_copy_global_pt_files_with_errors(self, mock1): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) self.backup_persistent_files.dbid_info = [d1, d2] with self.assertRaisesRegexp(Exception, 'Backup of global persistent files failed'): self.backup_persistent_files._copy_global_pt_files() @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_files') def test_copy_global_pt_files_without_errors(self, mock1): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) self.backup_persistent_files.dbid_info = [d1, d2] self.assertEqual(None, self.backup_persistent_files._copy_global_pt_files()) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_files') def test_copy_global_pt_files_with_restore_without_errors(self, mock1): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) self.backup_persistent_files.dbid_info = [d1, d2] self.assertEqual(None, self.backup_persistent_files._copy_global_pt_files(restore=True)) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_files', side_effect=[Mock(), Exception('Error while backing up files')]) def test_copy_global_pt_files_with_restore_with_errors(self, mock1): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) self.backup_persistent_files.dbid_info = [d1, d2] with self.assertRaisesRegexp(Exception, 'Restore of global persistent files failed'): self.backup_persistent_files._copy_global_pt_files(restore=True) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_files') def test_copy_per_db_pt_files(self, mock1): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) self.backup_persistent_files.dbid_info = [d1, d2] self.assertEqual(None, self.backup_persistent_files._copy_per_db_pt_files()) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles.build_PT_src_dest_pairs', return_value=[None, None]) def test_copy_per_db_pt_files_with_restore_with_failure(self, mock1): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) self.backup_persistent_files.dbid_info = [d1, d2] with self.assertRaisesRegexp(Exception, 'Missing per-database persistent files from source directory.'): self.backup_persistent_files._copy_per_db_pt_files(restore=True) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles.build_PT_src_dest_pairs', return_value=[None, None]) def test_copy_per_db_pt_files_without_restore_with_failure(self, mock1): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) self.backup_persistent_files.dbid_info = [d1, d2] with self.assertRaisesRegexp(Exception, 'Missing per-database persistent files from source directory.'): self.backup_persistent_files._copy_per_db_pt_files() @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_files', side_effect=[Mock(), Exception('Error while backing up files')]) def test_copy_per_db_pt_files_with_errors(self, mock1): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) self.backup_persistent_files.dbid_info = [d1, d2] with self.assertRaisesRegexp(Exception, 'Backup of per database persistent files failed'): self.backup_persistent_files._copy_per_db_pt_files() @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_files') def test_copy_per_db_pt_files_without_errors(self, mock1): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) self.backup_persistent_files.dbid_info = [d1, d2] self.assertEqual(None, self.backup_persistent_files._copy_per_db_pt_files()) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_files') def test_copy_per_db_pt_files_with_unused_filespace(self, mock1): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {3052: [2001]}, {2000: [123], 2001: [234]}) self.backup_persistent_files.dbid_info = [d1, d2] self.assertEqual(None, self.backup_persistent_files._copy_per_db_pt_files()) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_files') def test_copy_per_db_pt_files_with_unused_tablespace(self, mock1): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2001: [234]}) self.backup_persistent_files.dbid_info = [d1, d2] self.assertEqual(None, self.backup_persistent_files._copy_per_db_pt_files()) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_files') def test_copy_per_db_pt_files_with_restore_without_errors(self, mock1): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) self.backup_persistent_files.dbid_info = [d1, d2] self.assertEqual(None, self.backup_persistent_files._copy_per_db_pt_files(restore=True)) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_files') def test_copy_Xactlog_files_without_restore_without_errors(self, mock1): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) self.backup_persistent_files.dbid_info = [d1, d2] self.assertEqual(None, self.backup_persistent_files._copy_Xactlog_files()) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles.build_Xactlog_src_dest_pairs', return_value=[[],[]]) def test_copy_Xactlog_files_without_restore_with_failure(self, mock1): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) self.backup_persistent_files.dbid_info = [d1, d2] with self.assertRaisesRegexp(Exception, 'should not be empty'): self.backup_persistent_files._copy_Xactlog_files() @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles.build_Xactlog_src_dest_pairs', return_value=[[],[]]) def test_copy_Xactlog_files_with_restore_with_failure(self, mock1): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) self.backup_persistent_files.dbid_info = [d1, d2] with self.assertRaisesRegexp(Exception, 'should not be empty'): self.backup_persistent_files._copy_Xactlog_files(restore=True) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_files') def test_copy_Xactlog_files_with_restore_without_errors(self, mock1): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) self.backup_persistent_files.dbid_info = [d1, d2] self.assertEqual(None, self.backup_persistent_files._copy_Xactlog_files(restore=True)) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_files') def test_copy_pg_control_files_without_restore_without_errors(self, mock1): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) self.backup_persistent_files.dbid_info = [d1, d2] self.assertEqual(None, self.backup_persistent_files._copy_pg_control_file()) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_files') def test_copy_pg_control_files_with_restore_without_errors(self, mock1): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) self.backup_persistent_files.dbid_info = [d1, d2] self.assertEqual(None, self.backup_persistent_files._copy_pg_control_file(restore=True)) @patch('os.path.isfile', return_value=False) def test_copy_pg_control_files_without_restore_with_failure(self, mock1): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) self.backup_persistent_files.dbid_info = [d1, d2] with self.assertRaisesRegexp(Exception, 'Global pg_control file is missing from source directory'): self.backup_persistent_files._copy_pg_control_file() @patch('os.path.isfile', return_value=False) def test_copy_pg_control_files_with_restore_with_failure(self, mock1): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) self.backup_persistent_files.dbid_info = [d1, d2] with self.assertRaisesRegexp(Exception, 'Global pg_control file is missing from backup directory'): self.backup_persistent_files._copy_pg_control_file(restore=True) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_files', side_effect=[Mock(), Mock(), Mock(), Exception('Error while backing up files')]) def test_copy_per_db_pt_files_with_restore_with_errors(self, mock1): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) self.backup_persistent_files.dbid_info = [d1, d2] with self.assertRaisesRegexp(Exception, 'Restore of per database persistent files failed'): self.backup_persistent_files._copy_per_db_pt_files(restore=True) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_files') @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_global_pt_files', return_value=None) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_per_db_pt_files', return_value=None) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_Xactlog_files', return_value=None) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_pg_control_file', return_value=None) @patch('gppylib.operations.persistent_rebuild.WorkerPool') @patch('gppylib.operations.persistent_rebuild.Command') @patch('gppylib.operations.persistent_rebuild.ValidateMD5Sum.init') def test_restore_without_errors(self, mock1, mock2, mock3, mock4, mock5, mock6, mock7, mock8): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) self.backup_persistent_files.dbid_info = [d1, d2] self.assertEqual(None, self.backup_persistent_files.restore()) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_global_pt_files', side_effect=Exception('Error')) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_per_db_pt_files', return_value=None) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_Xactlog_files', return_value=None) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_pg_control_file', return_value=None) @patch('gppylib.operations.persistent_rebuild.WorkerPool') @patch('gppylib.operations.persistent_rebuild.Command') @patch('gppylib.operations.persistent_rebuild.ValidateMD5Sum.init') def test_restore_with_global_file_bkup_error(self, mock1, mock2, mock3, mock4, mock5, mock6, mock7): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) self.backup_persistent_files.dbid_info = [d1, d2] with self.assertRaisesRegexp(Exception, 'Error'): self.backup_persistent_files.restore() @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_global_pt_files', return_value=None) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_per_db_pt_files', side_effect=Exception('Error')) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_Xactlog_files', return_value=None) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_pg_control_file', return_value=None) @patch('gppylib.operations.persistent_rebuild.WorkerPool') @patch('gppylib.operations.persistent_rebuild.Command') @patch('gppylib.operations.persistent_rebuild.ValidateMD5Sum.init') def test_restore_with_per_db_bkup_error(self, mock1, mock2, mock3, mock4, mock5, mock6, mock7): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) self.backup_persistent_files.dbid_info = [d1, d2] with self.assertRaisesRegexp(Exception, 'Error'): self.backup_persistent_files.restore() @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_global_pt_files', return_value=None) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_per_db_pt_files', return_value=None) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_Xactlog_files', side_effect=Exception('Error')) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_pg_control_file', return_value=None) @patch('gppylib.operations.persistent_rebuild.WorkerPool') @patch('gppylib.operations.persistent_rebuild.Command') @patch('gppylib.operations.persistent_rebuild.ValidateMD5Sum.init') def test_restore_with_xlog_bkup_error(self, mock1, mock2, mock3, mock4, mock5, mock6, mock7): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) self.backup_persistent_files.dbid_info = [d1, d2] with self.assertRaisesRegexp(Exception, 'Error'): self.backup_persistent_files.restore() @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_global_pt_files', return_value=None) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_per_db_pt_files', return_value=None) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_Xactlog_files', return_value=None) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_pg_control_file', side_effect=Exception('Error')) @patch('gppylib.operations.persistent_rebuild.WorkerPool') @patch('gppylib.operations.persistent_rebuild.Command') @patch('gppylib.operations.persistent_rebuild.ValidateMD5Sum.init') def test_restore_with_pg_control_bkup_error(self, mock1, mock2, mock3, mock4, mock5, mock6, mock7): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) self.backup_persistent_files.dbid_info = [d1, d2] with self.assertRaisesRegexp(Exception, 'Error'): self.backup_persistent_files.restore() @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_global_pt_files', side_effect=Exception('Error')) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_per_db_pt_files', side_effect=Exception('Error')) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_Xactlog_files', return_value=None) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_pg_control_file', return_value=None) @patch('gppylib.operations.persistent_rebuild.WorkerPool') @patch('gppylib.operations.persistent_rebuild.Command') @patch('gppylib.operations.persistent_rebuild.ValidateMD5Sum.init') def test_restore_with_global_and_per_db_bkup_error(self, mock1, mock2, mock3, mock4, mock5, mock6, mock7): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) self.backup_persistent_files.dbid_info = [d1, d2] with self.assertRaisesRegexp(Exception, 'Error'): self.backup_persistent_files.restore() @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_global_pt_files', return_value=None) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_per_db_pt_files', return_value=None) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_Xactlog_files', side_effect=Exception('Error')) @patch('gppylib.operations.persistent_rebuild.BackupPersistentTableFiles._copy_pg_control_file', side_effect=Exception('Error')) @patch('gppylib.operations.persistent_rebuild.WorkerPool') @patch('gppylib.operations.persistent_rebuild.Command') @patch('gppylib.operations.persistent_rebuild.ValidateMD5Sum.init') def test_restore_with_xlog_and_pg_control_bkup_error(self, mock1, mock2, mock3, mock4, mock5, mock6, mock7): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) self.backup_persistent_files.dbid_info = [d1, d2] with self.assertRaisesRegexp(Exception, 'Error'): self.backup_persistent_files.restore() class RebuildTableTestCase(unittest.TestCase): def setUp(self): self.rebuild_table = RebuildTable(dbid_info=None) def test_get_valid_dbids(self): content_ids = [1, 2] expected = [0, 1] mock_segs = [] for i in range(2): m = Mock() m.getSegmentContentId.return_value = i + 1 m.getSegmentRole.return_value = 'p' m.getSegmentDbId.return_value = i m.getSegmentPort.return_value = 5000 + i m.getSegmentHostName.return_value = 'mdw%d' % (i + 1) m.getSegmentStatus.return_value = 'u' mock_segs.append(m) m = Mock() m.getDbList.return_value = mock_segs self.rebuild_table.gparray = m self.assertEqual(expected, self.rebuild_table._get_valid_dbids(content_ids)) def test_get_valid_dbids_empty_contents(self): content_ids = [] expected = [] mock_segs = [] for i in range(2): m = Mock() m.getSegmentContentId.return_value = i + 1 m.getSegmentRole.return_value = 'p' m.getSegmentDbId.return_value = i m.getSegmentPort.return_value = 5000 + i m.getSegmentHostName.return_value = 'mdw%d' % (i + 1) m.getSegmentStatus.return_value = 'u' mock_segs.append(m) m = Mock() m.getDbList.return_value = mock_segs self.rebuild_table.gparray = m self.assertEqual(expected, self.rebuild_table._get_valid_dbids(content_ids)) def test_get_valid_dbids_non_matching_content_ids(self): content_ids = [3, 4, 5] expected = [] mock_segs = [] for i in range(2): m = Mock() m.getSegmentContentId.return_value = i + 1 m.getSegmentRole.return_value = 'p' m.getSegmentDbId.return_value = i m.getSegmentPort.return_value = 5000 + i m.getSegmentHostName.return_value = 'mdw%d' % (i + 1) m.getSegmentStatus.return_value = 'u' mock_segs.append(m) m = Mock() m.getDbList.return_value = mock_segs self.rebuild_table.gparray = m self.assertEqual(expected, self.rebuild_table._get_valid_dbids(content_ids)) def test_get_valid_dbids_content_ids_down(self): content_ids = [1, 2, 3] mock_segs = [] for i in range(2): m = Mock() m.getSegmentContentId.return_value = i + 1 m.getSegmentRole.return_value = 'p' m.getSegmentDbId.return_value = i m.getSegmentPort.return_value = 5000 + i m.getSegmentHostName.return_value = 'mdw%d' % (i + 1) m.getSegmentStatus.return_value = 'u' if i % 2 else 'd' mock_segs.append(m) m = Mock() m.getDbList.return_value = mock_segs self.rebuild_table.gparray = m with self.assertRaisesRegexp(Exception, 'Segment .* is down. Cannot continue with persistent table rebuild'): self.rebuild_table._get_valid_dbids(content_ids) def test_get_valid_dbids_content_ids_resync(self): content_ids = [1, 2, 3] mock_segs = [] for i in range(2): m = Mock() m.getSegmentContentId.return_value = i + 1 m.getSegmentRole.return_value = 'p' m.getSegmentDbId.return_value = i m.getSegmentPort.return_value = 5000 + i m.getSegmentHostName.return_value = 'mdw%d' % (i + 1) m.getSegmentStatus.return_value = 'u' m.getSegmentMode.return_value = 'r' if i % 2 else 's' mock_segs.append(m) m = Mock() m.getDbList.return_value = mock_segs self.rebuild_table.gparray = m with self.assertRaisesRegexp(Exception, 'Segment .* is in resync. Cannot continue with persistent table rebuild'): self.rebuild_table._get_valid_dbids(content_ids) @patch('gppylib.operations.persistent_rebuild.ValidatePersistentBackup.validate_backups', return_value=Mock()) def test_get_valid_dbids_content_ids_are_mirrors(self, mock1): content_ids = [1, 2, 3] expected = [1] mock_segs = [] for i in range(2): m = Mock() m.getSegmentContentId.return_value = i + 1 m.getSegmentRole.return_value = 'p' if i % 2 else 'm' m.getSegmentDbId.return_value = i m.getSegmentPort.return_value = 5000 + i m.getSegmentHostName.return_value = 'mdw%d' % (i + 1) m.getSegmentStatus.return_value = 'u' mock_segs.append(m) m = Mock() m.getDbList.return_value = mock_segs self.rebuild_table.gparray = m self.assertEqual(expected, self.rebuild_table._get_valid_dbids(content_ids)) @patch('gppylib.operations.persistent_rebuild.GpArray') @patch('gppylib.operations.persistent_rebuild.RebuildTable._validate_backups') @patch('gppylib.operations.persistent_rebuild.RebuildTable._get_valid_dbids', return_value=[1, 2, 3]) @patch('gppylib.operations.persistent_rebuild.ParallelOperation.run') def test_rebuild(self, mock1, mock2, mock3, mock4): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) self.rebuild_table.dbid_info = [d1, d2] expected_success = [d1, d2] expected_failure = [] self.assertEqual((expected_success, expected_failure), self.rebuild_table.rebuild()) @patch('gppylib.operations.persistent_rebuild.GpArray') @patch('gppylib.operations.persistent_rebuild.RebuildTable._validate_backups') @patch('gppylib.operations.persistent_rebuild.RebuildTable._get_valid_dbids', return_value=[1, 2, 3]) @patch('gppylib.operations.persistent_rebuild.ParallelOperation.run') @patch('gppylib.operations.persistent_rebuild.RemoteOperation.get_ret', side_effect=[Mock(), Exception('Error')]) def test_rebuild_with_errors(self, mock1, mock2, mock3, mock4, mock5): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) self.rebuild_table.dbid_info = [d1, d2] expected_success = [d1] expected_failure = [(d2, 'Error')] self.assertEqual((expected_success, expected_failure), self.rebuild_table.rebuild()) class ValidatePersistentBackupTestCase(unittest.TestCase): def setUp(self): self.validate_persistent_backup = ValidatePersistentBackup(dbid_info=None, timestamp='20140605101010') def test_process_results(self): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) m1 = Mock() m1.get_results.return_value = CommandResult(0, '/tmp/f1', '', True, False) m1.cmdStr = "find /tmp/f1 -name pt_rebuild_bk_" m2 = Mock() m2.get_results.return_value = CommandResult(0, '/tmp/f1', '', True, False) m2.cmdStr = "find /tmp/f1 -name pt_rebuild_bk_" m = Mock() m.getCompletedItems.return_value = [m1, m2] self.validate_persistent_backup._process_results(d1, m) def test_process_results_with_errors(self): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) m1 = Mock() m1.get_results.return_value = CommandResult(0, '/tmp/f1', '', True, False) m1.cmdStr = "find /tmp/f1 -name pt_rebuild_bk_" m2 = Mock() m2.get_results.return_value = CommandResult(1, '/tmp/f1', '', True, False) m2.cmdStr = "find /tmp/f1 -name pt_rebuild_bk_" m = Mock() m.getCompletedItems.return_value = [m1, m2] with self.assertRaisesRegexp(Exception, 'Failed to validate backups'): self.validate_persistent_backup._process_results(d1, m) def test_process_results_with_missing_backup(self): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) m1 = Mock() m1.get_results.return_value = CommandResult(0, '/tmp/f1', '', True, False) m1.cmdStr = "find /tmp/f1 -name pt_rebuild_bk_" m2 = Mock() m2.get_results.return_value = CommandResult(0, '', '', True, False) m2.cmdStr = "find /foo/bar -name pt_rebuild_bk_" m = Mock() m.getCompletedItems.return_value = [m1, m2] with self.assertRaisesRegexp(Exception, 'Failed to validate backups'): self.validate_persistent_backup._process_results(d1, m) @patch('gppylib.operations.persistent_rebuild.WorkerPool') def test_validate(self, mock1): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) self.validate_persistent_backup.dbid_info = [d1, d2] self.validate_persistent_backup.validate_backups() @patch('gppylib.operations.persistent_rebuild.WorkerPool') @patch('gppylib.operations.persistent_rebuild.ValidatePersistentBackup._process_results', side_effect=Exception('Failed to validate backups')) def test_validate_error_in_workerpool(self, mock1, mock2): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) self.validate_persistent_backup.dbid_info = [d1, d2] with self.assertRaisesRegexp(Exception, 'Failed to validate backups'): self.validate_persistent_backup.validate_backups() class RunBackupRestoreTestCase(unittest.TestCase): def setUp(self): self.run_backup_restore = RunBackupRestore(dbid_info=None, timestamp=None) @patch('gppylib.operations.persistent_rebuild.WorkerPool') @patch('gppylib.operations.persistent_rebuild.RunBackupRestore._process_results') def test_run_backup_restore(self, mock1, mock2): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) host_to_dbid_info_map = {'h1': [d1], 'h2': [d2]} self.run_backup_restore._run_backup_restore(host_to_dbid_info_map) @patch('gppylib.operations.persistent_rebuild.WorkerPool') @patch('gppylib.operations.persistent_rebuild.RunBackupRestore._process_results', side_effect=Exception('ERROR')) def test_run_backup_restore_with_errors(self, mock1, mock2): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) host_to_dbid_info_map = {'h1': [d1], 'h2': [d2]} with self.assertRaisesRegexp(Exception, 'ERROR'): self.run_backup_restore._run_backup_restore(host_to_dbid_info_map) @patch('gppylib.operations.persistent_rebuild.WorkerPool') @patch('gppylib.operations.persistent_rebuild.RunBackupRestore._process_results') def test_run_backup_restore_with_restore(self, mock1, mock2): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) host_to_dbid_info_map = {'h1': [d1], 'h2': [d2]} self.run_backup_restore._run_backup_restore(host_to_dbid_info_map, restore=True) @patch('gppylib.operations.persistent_rebuild.WorkerPool') @patch('gppylib.operations.persistent_rebuild.RunBackupRestore._process_results', side_effect=Exception('ERROR')) def test_run_backup_restore_with_errors_with_restore(self, mock1, mock2): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) host_to_dbid_info_map = {'h1': [d1], 'h2': [d2]} with self.assertRaisesRegexp(Exception, 'ERROR'): self.run_backup_restore._run_backup_restore(host_to_dbid_info_map, restore=True) @patch('gppylib.operations.persistent_rebuild.WorkerPool') @patch('gppylib.operations.persistent_rebuild.RunBackupRestore._process_results') def test_run_backup_restore_with_validate(self, mock1, mock2): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) host_to_dbid_info_map = {'h1': [d1], 'h2': [d2]} self.run_backup_restore._run_backup_restore(host_to_dbid_info_map, validate_backups=True) @patch('gppylib.operations.persistent_rebuild.WorkerPool') @patch('gppylib.operations.persistent_rebuild.RunBackupRestore._process_results', side_effect=Exception('ERROR')) def test_run_backup_restore_with_errors_with_validate(self, mock1, mock2): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) host_to_dbid_info_map = {'h1': [d1], 'h2': [d2]} with self.assertRaisesRegexp(Exception, 'ERROR'): self.run_backup_restore._run_backup_restore(host_to_dbid_info_map, validate_backups=True) def test_get_host_to_dbid_info_map(self): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h2', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) expected = {'h1': [d1], 'h2': [d2]} self.run_backup_restore.dbid_info = [d1, d2] self.assertEqual(expected, self.run_backup_restore._get_host_to_dbid_info_map()) def test_get_host_to_dbid_info_map_empty(self): self.run_backup_restore.dbid_info = [] self.assertEqual({}, self.run_backup_restore._get_host_to_dbid_info_map()) def test_get_host_to_dbid_info_map_multiple_entries_per_host(self): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) d2 = DbIdInfo(2, 'p', 3, 5002, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) expected = {'h1': [d1, d2]} self.run_backup_restore.dbid_info = [d1, d2] self.assertEqual(expected, self.run_backup_restore._get_host_to_dbid_info_map()) def test_process_results(self): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) m1 = Mock() m1.get_results.return_value = CommandResult(0, '/tmp/f1', '', True, False) m2 = Mock() m2.get_results.return_value = CommandResult(0, '/tmp/f1', '', True, False) m = Mock() m.getCompletedItems.return_value = [m1, m2] self.run_backup_restore._process_results(m, 'ERR') def test_process_results_with_errors(self): d1 = DbIdInfo(1, 'p', 2, 5001, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) m1 = Mock() m1.get_results.return_value = CommandResult(0, '/tmp/f1', '', True, False) m2 = Mock() m2.get_results.return_value = CommandResult(1, 'ERR', '', True, False) m = Mock() m.getCompletedItems.return_value = [m1, m2] with self.assertRaisesRegexp(Exception, 'ERR'): self.run_backup_restore._process_results(m, 'ERR') class ValidateMD5SumTestCase(unittest.TestCase): def setUp(self): self.validate_md5sum = ValidateMD5Sum(pool=None) @patch('platform.system', return_value='Darwin') def test_get_md5_prog_for_osx(self, mock1): self.assertEqual('md5', self.validate_md5sum._get_md5_prog()) @patch('platform.system', return_value='Linux') def test_get_md5_prog_for_linux(self, mock1): self.assertEqual('md5sum', self.validate_md5sum._get_md5_prog()) @patch('platform.system', return_value='Solaris') def test_get_md5_prog_for_invalid_os(self, mock1): with self.assertRaisesRegexp(Exception, 'Cannot determine the md5 program since Solaris platform is not supported'): self.validate_md5sum._get_md5_prog() @patch('platform.system', return_value='Darwin') def test_get_md5_results_pat_for_osx(self, mock1): pat = re.compile('MD5 $(.*)$ = (.*)') self.assertEqual(pat, self.validate_md5sum._get_md5_results_pat()) @patch('platform.system', return_value='Linux') def test_get_md5_results_pat_for_osx(self, mock1): pat = re.compile('(.*) (.*)') self.assertEqual(pat, self.validate_md5sum._get_md5_results_pat()) @patch('platform.system', return_value='Solaris') def test_get_md5_results_pat_for_invalid_os(self, mock1): with self.assertRaisesRegexp(Exception, 'Cannot determine the pattern for results of md5 program since Solaris platform is not supported'): self.validate_md5sum._get_md5_results_pat() @patch('platform.system', return_value='Darwin') def test_process_results_on_osx(self, mock1): m = Mock() m1 = Mock() m1.get_results.return_value = CommandResult(0, 'MD5 (foo) = afsdfasdf', '', True, False) m2 = Mock() m2.get_results.return_value = CommandResult(0, 'MD5 (foo1) = sdfadsff', '', True, False) m.getCompletedItems.return_value = [m1, m2] self.validate_md5sum.pool = m self.validate_md5sum.md5_results_pat = re.compile('MD5 $(.*)$ = (.*)') expected = {'foo': 'afsdfasdf', 'foo1': 'sdfadsff'} self.assertEqual(expected, self.validate_md5sum._process_md5_results()) @patch('platform.system', return_value='Darwin') def test_process_results_on_osx_with_error(self, mock1): m = Mock() m1 = Mock() m1.get_results.return_value = CommandResult(0, 'MD5 (foo1) = sdfadsff', '', True, False) m2 = Mock() m2.get_results.return_value = CommandResult(1, '', 'Error', True, False) m.getCompletedItems.return_value = [m1, m2] self.validate_md5sum.pool = m self.validate_md5sum.md5_results_pat = re.compile('MD5 $(.*)$ = (.*)') with self.assertRaisesRegexp(Exception, 'Unable to calculate md5sum'): self.validate_md5sum._process_md5_results() @patch('platform.system', return_value='Linux') def test_process_results_on_linux(self, mock1): m = Mock() m1 = Mock() m1.get_results.return_value = CommandResult(0, 'afsdfasdf foo', '', True, False) m2 = Mock() m2.get_results.return_value = CommandResult(0, 'sdfadsff foo1', '', True, False) m.getCompletedItems.return_value = [m1, m2] self.validate_md5sum.pool = m self.validate_md5sum.md5_results_pat = re.compile('(.*) (.*)') expected = {'foo': 'afsdfasdf', 'foo1': 'sdfadsff'} self.assertEqual(expected, self.validate_md5sum._process_md5_results()) @patch('platform.system', return_value='Linux') def test_process_results_on_linux_with_error(self, mock1): m = Mock() m1 = Mock() m1.get_results.return_value = CommandResult(0, 'sdfadsff fo1', '', True, False) m2 = Mock() m2.get_results.return_value = CommandResult(1, '', 'Error', True, False) m.getCompletedItems.return_value = [m1, m2] self.validate_md5sum.pool = m self.validate_md5sum.md5_results_pat = re.compile('(.*) (.*)') with self.assertRaisesRegexp(Exception, 'Unable to calculate md5sum'): self.validate_md5sum._process_md5_results() class RebuildPersistentTableTestCase(unittest.TestCase): def setUp(self): self.rebuild_persistent_table = RebuildPersistentTables(content_id = None, contentid_file = None, backup=None, restore=None, batch_size=None, backup_dir=None) @patch('gppylib.operations.persistent_rebuild.platform.system', return_value='Linux') def test_check_platform_linux(self, mock1): self.rebuild_persistent_table._check_platform() @patch('gppylib.operations.persistent_rebuild.platform.system', return_value='Solaris') def test_check_platform_non_linux(self, mock1): with self.assertRaisesRegexp(Exception, 'This tool is only supported on Linux and OSX platforms'): self.rebuild_persistent_table._check_platform() def test_validate_has_mirrors_and_standby(self): mock_segs = [] for i in range(6): m = Mock() m.getSegmentContentId.return_value = i - 1 m.isSegmentMirror.return_value = True if i < 3 else False mock_segs.append(m) m = Mock() m.getDbList.return_value = mock_segs self.rebuild_persistent_table.gparray = m self.rebuild_persistent_table._validate_has_mirrors_and_standby() self.assertTrue(self.rebuild_persistent_table.has_mirrors) def test_validate_has_mirrors_and_standby_with_no_mirrors(self): mock_segs = [] for i in range(6): m = Mock() m.getSegmentContentId.return_value = i - 1 m.isSegmentMirror.return_value = False mock_segs.append(m) m = Mock() m.getDbList.return_value = mock_segs self.rebuild_persistent_table.gparray = m self.rebuild_persistent_table._validate_has_mirrors_and_standby() self.assertFalse(self.rebuild_persistent_table.has_mirrors) def test_validate_has_mirrors_and_standby_with_mirrors_for_master(self): mock_segs = [] for i in range(6): m = Mock() m.getSegmentContentId.return_value = i - 1 m.isSegmentMirror.return_value = True if i == -1 else False mock_segs.append(m) m = Mock() m.getDbList.return_value = mock_segs self.rebuild_persistent_table.gparray = m self.rebuild_persistent_table._validate_has_mirrors_and_standby() self.assertTrue(self.rebuild_persistent_table.has_standby) @patch('gppylib.operations.persistent_rebuild.findCmdInPath', return_value=True) def test_check_md5_prog(self, mock1): self.rebuild_persistent_table._check_md5_prog() @patch('gppylib.operations.persistent_rebuild.findCmdInPath', return_value=False) def test_check_md5_prog_no_md5(self, mock1): with self.assertRaisesRegexp(Exception, 'Unable to find md5.* program. Please make sure it is in PATH'): self.rebuild_persistent_table._check_md5_prog() @patch('gppylib.operations.persistent_rebuild.GpVersion.local', return_value=GpVersion('4.2.7.3')) def test_check_database_version(self, mock1): self.rebuild_persistent_table._check_database_version() @patch('gppylib.operations.persistent_rebuild.GpVersion.local', return_value=GpVersion('4.0.1.0')) def test_check_database_version_with_lower_version(self, mock1): with self.assertRaisesRegexp(Exception, 'This tool is not supported on Greenplum version lower than 4.1.0.0'): self.rebuild_persistent_table._check_database_version() @patch('gppylib.operations.persistent_rebuild.dbconn.execSQL', side_effect=[[[5090], [5091], [5092], [5093]], [[123, 'template1']], [[5094], [16992]]]) @patch('gppylib.operations.persistent_rebuild.dbconn.connect') @patch('gppylib.operations.persistent_rebuild.dbconn.DbURL') def test_get_persistent_table_filenames(self, mock1, mock2, mock3): d1 = DbIdInfo(2, 'p', 3, 5002, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) self.rebuild_persistent_table.dbid_info = [d1] self.rebuild_persistent_table._get_persistent_table_filenames() expected_global = defaultdict(defaultdict) expected_files = ['5090', '5091', '5092', '5093'] expected_dbid = {3:expected_files} expected_global = {'h1':expected_dbid} expected_perdb_pt_files = defaultdict(defaultdict) exp_pt_files = ['5094', '16992'] exp_dboid = {123:exp_pt_files} exp_dbid = {3:exp_dboid} expected_perdb_pt_file = {'h1':exp_dbid} from gppylib.operations.persistent_rebuild import GLOBAL_PERSISTENT_FILES, PER_DATABASE_PERSISTENT_FILES self.assertEqual(GLOBAL_PERSISTENT_FILES, expected_global) self.assertEqual(PER_DATABASE_PERSISTENT_FILES, expected_perdb_pt_file) @patch('gppylib.operations.persistent_rebuild.dbconn.execSQL', side_effect=pt_query_side_effect) @patch('gppylib.operations.persistent_rebuild.dbconn.connect') @patch('gppylib.operations.persistent_rebuild.dbconn.DbURL') def test_get_persistent_table_filenames_lacking_global_relfilenode(self, mock1, mock2, mock3): d1 = DbIdInfo(2, 'p', 3, 5002, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) global remove_global_pt_entry remove_global_pt_entry = True self.rebuild_persistent_table.dbid_info = [d1] with self.assertRaisesRegexp(Exception, 'Missing relfilenode entry of global pesistent tables in pg_class'): self.rebuild_persistent_table._get_persistent_table_filenames() remove_global_pt_entry = False @patch('gppylib.operations.persistent_rebuild.dbconn.execSQL', side_effect=pt_query_side_effect) @patch('gppylib.operations.persistent_rebuild.dbconn.connect') @patch('gppylib.operations.persistent_rebuild.dbconn.DbURL') def test_get_persistent_table_filenames_lacking_per_database_relfilenode(self, mock1, mock2, mock3): d1 = DbIdInfo(2, 'p', 3, 5002, 'h1', {1000: '/tmp/p1', 3052: '/tmp/p2'}, {1000: [2000], 3052: [2001]}, {2000: [123], 2001: [234]}) global remove_per_db_pt_entry remove_per_db_pt_entry = True self.rebuild_persistent_table.dbid_info = [d1] with self.assertRaisesRegexp(Exception, 'Missing relfilenode entry of per database persistent tables in pg_class'): self.rebuild_persistent_table._get_persistent_table_filenames() remove_per_db_pt_entry = False if __name__ == '__main__': unittest.main()

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53da282b4ddff21fa04d1ecc38992c8936c48332

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Python

tests/app/questionnaire/test_navigation.py

nealedj/eq-survey-runner

b8e6cddae6068f6c8fd60e21d31d58aaa79bbb34

[ "MIT" ]

null

tests/app/questionnaire/test_navigation.py

nealedj/eq-survey-runner

b8e6cddae6068f6c8fd60e21d31d58aaa79bbb34

[ "MIT" ]

1

2018-11-05T12:00:51.000Z

tests/app/questionnaire/test_navigation.py

nealedj/eq-survey-runner

b8e6cddae6068f6c8fd60e21d31d58aaa79bbb34

[ "MIT" ]

null

import uuid from unittest.mock import MagicMock from app.data_model.answer_store import AnswerStore, Answer from app.questionnaire.completeness import Completeness from app.questionnaire.location import Location from app.questionnaire.navigation import Navigation from app.utilities.schema import load_schema_from_params from tests.app.app_context_test_case import AppContextTestCase standard_routing_path = [ Location('property-details', 0, 'insurance-type'), Location('property-details', 0, 'insurance-address'), Location('multiple-questions-group', 0, 'household-composition'), Location('extra-cover', 0, 'extra-cover-block'), Location('skip-payment-group', 0, 'skip-payment'), Location('final-section-routed-group', 0, 'final-interstitial'), Location('summary-group', 0, 'summary') ] # pylint: disable=R0904,C0302 class TestNavigation(AppContextTestCase): def test_navigation_no_blocks_completed(self): schema = load_schema_from_params('test', 'navigation') schema.answer_is_in_repeating_group = MagicMock(return_value=False) metadata = { 'eq_id': '1', 'collection_exercise_sid': '999', 'form_type': 'some_form' } navigation = _create_navigation(schema, AnswerStore(), metadata, [], standard_routing_path) user_navigation = [ { 'link_name': 'Property Details', 'highlight': True, 'repeating': False, 'completed': False, 'link_url': Location('property-details', 0, 'insurance-type').url(metadata) }, { 'link_name': 'Household Composition', 'highlight': False, 'repeating': False, 'completed': False, 'link_url': Location('multiple-questions-group', 0, 'household-composition').url(metadata) }, { 'link_name': 'Extra Cover', 'highlight': False, 'repeating': False, 'completed': False, 'link_url': Location('extra-cover', 0, 'extra-cover-block').url(metadata) }, { 'link_name': 'Payment Details', 'highlight': False, 'repeating': False, 'completed': False, 'link_url': Location('skip-payment-group', 0, 'skip-payment').url(metadata) }, { 'link_name': 'Final section', 'highlight': False, 'repeating': False, 'completed': False, 'link_url': Location('final-section-routed-group', 0, 'final-interstitial').url(metadata) } ] self.assertEqual(navigation.build_navigation('property-details', 0), user_navigation) def test_non_repeating_block_completed(self): schema = load_schema_from_params('test', 'navigation') schema.answer_is_in_repeating_group = MagicMock(return_value=True) metadata = { 'eq_id': '1', 'collection_exercise_sid': '999', 'form_type': 'some_form' } answer_store = AnswerStore() answer_1 = Answer( value='Contents', group_instance=0, answer_instance=0, answer_id='insurance-type-answer' ) answer_store.add(answer_1) completed_blocks = [ Location('property-details', 0, 'insurance-type'), Location('property-details', 0, 'insurance-address') ] routing_path = [ Location('property-details', 0, 'insurance-type'), Location('skip-payment-group', 0, 'skip-payment'), ] navigation = _create_navigation(schema, answer_store, metadata, completed_blocks, routing_path) user_navigation = [ { 'link_name': 'Property Details', 'highlight': True, 'repeating': False, 'completed': True, 'link_url': Location('property-details', 0, 'insurance-type').url(metadata) }, { 'link_name': 'Property Interstitial', 'highlight': False, 'repeating': False, 'completed': False, 'link_url': Location('property-interstitial-group', 0, 'property-interstitial').url(metadata) }, { 'link_name': 'Household Composition', 'highlight': False, 'repeating': False, 'completed': False, 'link_url': Location('multiple-questions-group', 0, 'household-composition').url(metadata) }, { 'link_name': 'Extra Cover', 'highlight': False, 'repeating': False, 'completed': False, 'link_url': Location('extra-cover', 0, 'extra-cover-block').url(metadata) }, { 'link_name': 'Payment Details', 'highlight': False, 'repeating': False, 'completed': False, 'link_url': Location('skip-payment-group', 0, 'skip-payment').url(metadata) }, { 'link_name': 'Final section', 'highlight': False, 'repeating': False, 'completed': False, 'link_url': Location('final-section-routed-group', 0, 'final-interstitial').url(metadata) } ] self.assertEqual(navigation.build_navigation('property-details', 0), user_navigation) def test_navigation_repeating_household_and_hidden_household_groups_completed(self): schema = load_schema_from_params('test', 'navigation') schema.answer_is_in_repeating_group = MagicMock(return_value=True) metadata = { 'eq_id': '1', 'collection_exercise_sid': '999', 'form_type': 'some_form' } completed_blocks = [ Location('multiple-questions-group', 0, 'household-composition'), Location('repeating-group', 0, 'repeating-block-1'), Location('repeating-group', 0, 'repeating-block-2'), Location('repeating-group', 1, 'repeating-block-1'), Location('repeating-group', 1, 'repeating-block-2') ] routing_path = [ Location('property-details', 0, 'insurance-type'), Location('multiple-questions-group', 0, 'household-composition'), Location('repeating-group', 0, 'repeating-block-1'), Location('repeating-group', 0, 'repeating-block-2'), Location('repeating-group', 1, 'repeating-block-1'), Location('repeating-group', 1, 'repeating-block-2'), Location('skip-payment-group', 0, 'skip-payment') ] navigation = _create_navigation(schema, AnswerStore(), metadata, completed_blocks, routing_path) person1_uuid = uuid.uuid4() person2_uuid = uuid.uuid4() navigation.answer_store.answers = [ { 'group_instance': 0, 'answer_instance': 0, 'answer_id': 'first-name', 'value': 'Jim', 'group_instance_id': person1_uuid, }, { 'group_instance': 0, 'answer_instance': 1, 'answer_id': 'first-name', 'value': 'Ben', 'group_instance_id': person2_uuid, }, { 'group_instance': 0, 'answer_instance': 0, 'answer_id': 'what-is-your-age', 'value': None, 'group_instance_id': person1_uuid, }, { 'group_instance': 0, 'answer_instance': 0, 'answer_id': 'what-is-your-shoe-size', 'value': None, 'group_instance_id': person1_uuid, }, { 'group_instance': 1, 'answer_instance': 0, 'answer_id': 'what-is-your-age', 'value': None, 'group_instance_id': person2_uuid, }, { 'group_instance': 1, 'answer_instance': 0, 'answer_id': 'what-is-your-shoe-size', 'value': None, 'group_instance_id': person2_uuid, } ] user_navigation = [ { 'link_name': 'Property Details', 'repeating': False, 'completed': False, 'highlight': True, 'link_url': Location('property-details', 0, 'insurance-type').url(metadata) }, { 'link_name': 'Household Composition', 'highlight': False, 'repeating': False, 'completed': True, 'link_url': Location('multiple-questions-group', 0, 'household-composition').url(metadata) }, { 'link_name': 'Jim', 'repeating': True, 'completed': True, 'highlight': False, 'link_url': Location('repeating-group', 0, 'repeating-block-1').url(metadata) }, { 'link_name': 'Ben', 'repeating': True, 'completed': True, 'highlight': False, 'link_url': Location('repeating-group', 1, 'repeating-block-1').url(metadata) }, { 'link_name': 'Extra Cover', 'repeating': False, 'completed': False, 'highlight': False, 'link_url': Location('extra-cover', 0, 'extra-cover-block').url(metadata) }, { 'link_name': 'Payment Details', 'repeating': False, 'completed': False, 'highlight': False, 'link_url': Location('skip-payment-group', 0, 'skip-payment').url(metadata) }, { 'link_name': 'Final section', 'highlight': False, 'repeating': False, 'completed': False, 'link_url': Location('final-section-routed-group', 0, 'final-interstitial').url(metadata) } ] self.assertEqual(navigation.build_navigation('property-details', 0), user_navigation) def test_navigation_repeating_group_extra_answered_not_completed(self): schema = load_schema_from_params('test', 'navigation') schema.answer_is_in_repeating_group = MagicMock(return_value=True) metadata = { 'eq_id': '1', 'collection_exercise_sid': '999', 'form_type': 'some_form' } completed_blocks = [ Location('multiple-questions-group', 0, 'household-composition'), Location('extra-cover', 0, 'extra-cover-block') ] answer_store = AnswerStore() person1_uuid = uuid.uuid4() person2_uuid = uuid.uuid4() answer_1 = Answer( answer_instance=0, answer_id='first-name', group_instance=0, value='Person1', group_instance_id=person1_uuid ) answer_2 = Answer( answer_instance=1, answer_id='first-name', group_instance=0, value='Person2', group_instance_id=person2_uuid ) answer_3 = Answer( answer_instance=1, answer_id='extra-cover-answer', group_instance=0, value=2, group_instance_id=person2_uuid ) answer_store.add(answer_1) answer_store.add(answer_2) answer_store.add(answer_3) routing_path = [ Location('property-details', 0, 'insurance-type'), Location('multiple-questions-group', 0, 'household-composition'), Location('extra-cover', 0, 'extra-cover-block'), Location('extra-cover-items-group', 0, 'extra-cover-items'), Location('skip-payment-group', 0, 'skip-payment'), ] navigation = _create_navigation(schema, answer_store, metadata, completed_blocks, routing_path) user_navigation = [ { 'completed': False, 'highlight': True, 'repeating': False, 'link_name': 'Property Details', 'link_url': Location('property-details', 0, 'insurance-type').url(metadata) }, { 'link_name': 'Household Composition', 'highlight': False, 'repeating': False, 'completed': True, 'link_url': Location('multiple-questions-group', 0, 'household-composition').url(metadata) }, { 'completed': False, 'highlight': False, 'repeating': True, 'link_name': 'Person1', 'link_url': Location('repeating-group', 0, 'repeating-block-1').url(metadata), }, { 'completed': False, 'highlight': False, 'repeating': True, 'link_name': 'Person2', 'link_url': Location('repeating-group', 1, 'repeating-block-1').url(metadata), }, { 'completed': True, 'highlight': False, 'repeating': False, 'link_name': 'Extra Cover', 'link_url': Location('extra-cover', 0, 'extra-cover-block').url(metadata), }, { 'completed': False, 'highlight': False, 'repeating': False, 'link_name': 'Extra Cover Items', 'link_url': Location('extra-cover-items-group', 0, 'extra-cover-items').url(metadata) }, { 'completed': False, 'highlight': False, 'repeating': False, 'link_name': 'Payment Details', 'link_url': Location('skip-payment-group', 0, 'skip-payment').url(metadata), }, { 'link_name': 'Final section', 'highlight': False, 'repeating': False, 'completed': False, 'link_url': Location('final-section-routed-group', 0, 'final-interstitial').url(metadata) } ] self.assertEqual(navigation.build_navigation('property-details', 0), user_navigation) def test_navigation_repeating_group_extra_answered_completed(self): schema = load_schema_from_params('test', 'navigation') schema.answer_is_in_repeating_group = MagicMock(return_value=True) metadata = { 'eq_id': '1', 'collection_exercise_sid': '999', 'form_type': 'some_form' } completed_blocks = [ Location('extra-cover', 0, 'extra-cover-block'), Location('extra-cover-items-group', 0, 'extra-cover-items'), Location('extra-cover-items-group', 0, 'extra-cover-items-radio'), Location('extra-cover-items-group', 1, 'extra-cover-items'), Location('extra-cover-items-group', 1, 'extra-cover-items-radio'), ] answer_store = AnswerStore() answer_1 = Answer( value=2, group_instance=0, group_instance_id='group-1-0', answer_id='extra-cover-answer', answer_instance=0 ) answer_2 = Answer( value='1', group_instance=0, group_instance_id='group-1-0', answer_id='extra-cover-items-answer', answer_instance=0 ) answer_3 = Answer( value='Yes', group_instance=0, group_instance_id='group-1-0', answer_id='extra-cover-items-radio-answer', answer_instance=0 ) answer_4 = Answer( value='2', group_instance=1, group_instance_id='group-1-1', answer_id='extra-cover-items-answer', answer_instance=0 ) answer_5 = Answer( value='Yes', group_instance=1, group_instance_id='group-1-1', answer_id='extra-cover-items-radio-answer', answer_instance=0 ) answer_store.add(answer_1) answer_store.add(answer_2) answer_store.add(answer_3) answer_store.add(answer_4) answer_store.add(answer_5) routing_path = [ Location('property-details', 0, 'insurance-type'), Location('extra-cover', 0, 'extra-cover-block'), Location('extra-cover-items-group', 0, 'extra-cover-items'), Location('extra-cover-items-group', 0, 'extra-cover-items-radio'), Location('extra-cover-items-group', 1, 'extra-cover-items'), Location('extra-cover-items-group', 1, 'extra-cover-items-radio'), Location('skip-payment-group', 0, 'skip-payment'), ] navigation = _create_navigation(schema, answer_store, metadata, completed_blocks, routing_path) user_navigation = [ { 'repeating': False, 'highlight': True, 'completed': False, 'link_name': 'Property Details', 'link_url': Location('property-details', 0, 'insurance-type').url(metadata) }, { 'link_name': 'Household Composition', 'highlight': False, 'repeating': False, 'completed': False, 'link_url': Location('multiple-questions-group', 0, 'household-composition').url(metadata) }, { 'repeating': False, 'highlight': False, 'completed': True, 'link_name': 'Extra Cover', 'link_url': Location('extra-cover', 0, 'extra-cover-block').url(metadata) }, { 'repeating': False, 'highlight': False, 'completed': True, 'link_name': 'Extra Cover Items', 'link_url': Location('extra-cover-items-group', 0, 'extra-cover-items').url(metadata) }, { 'repeating': False, 'highlight': False, 'completed': False, 'link_name': 'Payment Details', 'link_url': Location('skip-payment-group', 0, 'skip-payment').url(metadata) }, { 'link_name': 'Final section', 'highlight': False, 'repeating': False, 'completed': False, 'link_url': Location('final-section-routed-group', 0, 'final-interstitial').url(metadata) } ] self.assertEqual(navigation.build_navigation('property-details', 0), user_navigation) def test_navigation_repeating_group_link_name_format(self): schema = load_schema_from_params('test', 'navigation') schema.answer_is_in_repeating_group = MagicMock(return_value=True) metadata = { 'eq_id': '1', 'collection_exercise_sid': '999', 'form_type': 'some_form' } completed_blocks = [ Location('multiple-questions-group', 0, 'household-composition'), ] answer_store = AnswerStore() person1_uuid = uuid.uuid4() person2_uuid = uuid.uuid4() answer_1 = Answer( answer_instance=0, answer_id='first-name', group_instance=0, value='Joe', group_instance_id=person1_uuid ) answer_2 = Answer( answer_instance=0, answer_id='last-name', group_instance=0, value='Bloggs', group_instance_id=person1_uuid ) answer_3 = Answer( answer_instance=1, answer_id='first-name', group_instance=0, value='Jane', group_instance_id=person2_uuid ) answer_4 = Answer( answer_instance=1, answer_id='last-name', group_instance=0, value='Doe', group_instance_id=person2_uuid ) answer_store.add(answer_1) answer_store.add(answer_2) answer_store.add(answer_3) answer_store.add(answer_4) routing_path = [ Location('property-details', 0, 'insurance-type'), Location('multiple-questions-group', 0, 'household-composition'), Location('skip-payment-group', 0, 'skip-payment'), ] navigation = _create_navigation(schema, answer_store, metadata, completed_blocks, routing_path) user_navigation = [ { 'link_name': 'Property Details', 'highlight': True, 'repeating': False, 'completed': False, 'link_url': Location('property-details', 0, 'insurance-type').url(metadata) }, { 'repeating': False, 'completed': True, 'highlight': False, 'link_name': 'Household Composition', 'link_url': Location('multiple-questions-group', 0, 'household-composition').url(metadata) }, { 'repeating': True, 'link_name': 'Joe Bloggs', 'completed': False, 'highlight': False, 'link_url': Location('repeating-group', 0, 'repeating-block-1').url(metadata) }, { 'repeating': True, 'link_name': 'Jane Doe', 'completed': False, 'highlight': False, 'link_url': Location('repeating-group', 1, 'repeating-block-1').url(metadata) }, { 'link_name': 'Extra Cover', 'highlight': False, 'repeating': False, 'completed': False, 'link_url': Location('extra-cover', 0, 'extra-cover-block').url(metadata) }, { 'link_name': 'Payment Details', 'highlight': False, 'repeating': False, 'completed': False, 'link_url': Location('skip-payment-group', 0, 'skip-payment').url(metadata) }, { 'link_name': 'Final section', 'highlight': False, 'repeating': False, 'completed': False, 'link_url': Location('final-section-routed-group', 0, 'final-interstitial').url(metadata) } ] self.assertEqual(navigation.build_navigation('property-details', 0), user_navigation) def test_navigation_skip_condition_hide_group(self): schema = load_schema_from_params('test', 'navigation') schema.answer_is_in_repeating_group = MagicMock(return_value=True) metadata = { 'eq_id': '1', 'collection_exercise_sid': '999', 'form_type': 'some_form' } completed_blocks = [] answer_store = AnswerStore() answer_1 = Answer( value='Buildings', group_instance=0, answer_instance=0, answer_id='insurance-type-answer' ) answer_store.add(answer_1) navigation = _create_navigation(schema, answer_store, metadata, completed_blocks, []) user_navigation = navigation.build_navigation('property-details', 0) link_names = [d['link_name'] for d in user_navigation] self.assertNotIn('Property Interstitial', link_names) def test_navigation_skip_condition_show_group(self): schema = load_schema_from_params('test', 'navigation') schema.answer_is_in_repeating_group = MagicMock(return_value=True) metadata = { 'eq_id': '1', 'collection_exercise_sid': '999', 'form_type': 'some_form' } completed_blocks = [] answer_store = AnswerStore() answer_1 = Answer( value='Contents', group_instance=0, answer_instance=0, answer_id='insurance-type-answer' ) answer_store.add(answer_1) navigation = _create_navigation(schema, answer_store, metadata, completed_blocks, []) user_navigation = navigation.build_navigation('property-details', 0) link_names = [d['link_name'] for d in user_navigation] self.assertIn('Property Interstitial', link_names) def test_navigation_skip_condition_change_answer(self): schema = load_schema_from_params('test', 'navigation') schema.answer_is_in_repeating_group = MagicMock(return_value=True) metadata = { 'eq_id': '1', 'collection_exercise_sid': '999', 'form_type': 'some_form' } completed_blocks = [] answer_store = AnswerStore() answer_1 = Answer( value='Contents', group_instance=0, group_instance_id='group-0', answer_instance=0, answer_id='insurance-type-answer' ) answer_store.add(answer_1) navigation = _create_navigation(schema, answer_store, metadata, completed_blocks, []) user_navigation = navigation.build_navigation('property-details', 0) link_names = [d['link_name'] for d in user_navigation] self.assertIn('Property Interstitial', link_names) change_answer = Answer( value='Buildings', group_instance=0, group_instance_id='group-0', answer_instance=0, answer_id='insurance-type-answer' ) answer_store.update(change_answer) user_navigation = navigation.build_navigation('property-details', 0) link_names = [d['link_name'] for d in user_navigation] self.assertNotIn('Property Interstitial', link_names) def test_build_navigation_returns_none_when_schema_navigation_is_false(self): # Given schema = load_schema_from_params('test', 'navigation') schema.json['navigation'] = {'visible': False} completed_blocks = [] metadata = {} navigation = _create_navigation(schema, AnswerStore(), metadata, completed_blocks, []) # When nav_menu = navigation.build_navigation('group-1', 'group-instance-1') # Then self.assertIsNone(nav_menu) def test_build_navigation_returns_none_when_no_schema_navigation_property(self): # Given schema = load_schema_from_params('test', 'navigation') del schema.json['navigation'] completed_blocks = [] metadata = {} navigation = _create_navigation(schema, AnswerStore(), metadata, completed_blocks, []) # When nav_menu = navigation.build_navigation('group-1', 'group-instance-1') # Then self.assertIsNone(nav_menu) def test_build_navigation_returns_navigation_when_schema_navigation_is_true(self): # Given schema = load_schema_from_params('test', 'navigation') schema.answer_is_in_repeating_group = MagicMock(return_value=True) schema.json['navigation'] = {'visible': True} completed_blocks = [] metadata = { 'eq_id': '1', 'collection_exercise_sid': '999', 'form_type': 'some_form' } navigation = _create_navigation(schema, AnswerStore(), metadata, completed_blocks, []) # When nav_menu = navigation.build_navigation('group-1', 'group-instance-1') # Then self.assertIsNotNone(nav_menu) def test_build_navigation_summary_link_hidden_when_no_sections_completed(self): schema = load_schema_from_params('test', 'navigation') schema.answer_is_in_repeating_group = MagicMock(return_value=True) metadata = { 'eq_id': '1', 'collection_exercise_sid': '999', 'form_type': 'some_form' } navigation = _create_navigation(schema, AnswerStore(), metadata, [], []) confirmation_link = { 'link_name': 'Summary', 'highlight': False, 'repeating': False, 'completed': False, 'link_url': Location('summary-group', 0, 'summary').url(metadata) } self.assertNotIn(confirmation_link, navigation.build_navigation('property-details', 0)) def test_build_navigation_summary_link_hidden_when_not_all_sections_completed(self): schema = load_schema_from_params('test', 'navigation') schema.answer_is_in_repeating_group = MagicMock(return_value=True) metadata = { 'eq_id': '1', 'collection_exercise_sid': '999', 'form_type': 'some_form' } completed_blocks = [ Location('property-details', 0, 'insurance-type'), Location('property-details', 0, 'insurance-address'), Location('property-details', 0, 'property-interstitial'), Location('house-details', 0, 'house-type'), Location('multiple-questions-group', 0, 'household-composition'), ] navigation = _create_navigation(schema, AnswerStore(), metadata, completed_blocks, standard_routing_path) confirmation_link = { 'link_name': 'Summary', 'highlight': False, 'repeating': False, 'completed': False, 'link_url': Location('summary-group', 0, 'summary').url(metadata) } navigation_links = navigation.build_navigation('property-details', 0) self.assertNotIn(confirmation_link, navigation_links) self.assertEqual(len(navigation_links), 5) def test_build_navigation_summary_link_visible_when_all_sections_complete(self): schema = load_schema_from_params('test', 'navigation') schema.answer_is_in_repeating_group = MagicMock(return_value=True) metadata = { 'eq_id': '1', 'collection_exercise_sid': '999', 'form_type': 'some_form' } completed_blocks = [ Location('property-details', 0, 'insurance-type'), Location('property-details', 0, 'insurance-address'), Location('property-details', 0, 'property-interstitial'), Location('house-details', 0, 'house-type'), Location('multiple-questions-group', 0, 'household-composition'), Location('repeating-group', 0, 'repeating-block-1'), Location('repeating-group', 0, 'repeating-block-2'), Location('extra-cover', 0, 'extra-cover-block'), Location('extra-cover', 0, 'extra-cover-interstitial'), Location('payment-details', 0, 'credit-card'), Location('payment-details', 0, 'expiry-date'), Location('payment-details', 0, 'security-code'), Location('payment-details', 0, 'security-code-interstitial'), Location('extra-cover-items-group', 0, 'extra-cover-items'), Location('extra-cover-items-group', 0, 'extra-cover-items-radio'), Location('skip-payment-group', 0, 'skip-payment'), ] routing_path = [ Location('property-details', 0, 'insurance-type'), Location('property-details', 0, 'insurance-address'), Location('property-details', 0, 'property-interstitial'), Location('house-details', 0, 'house-type'), Location('multiple-questions-group', 0, 'household-composition'), Location('repeating-group', 0, 'repeating-block-1'), Location('repeating-group', 0, 'repeating-block-2'), Location('payment-details', 0, 'credit-card'), Location('payment-details', 0, 'expiry-date'), Location('payment-details', 0, 'security-code'), Location('payment-details', 0, 'security-code-interstitial'), Location('extra-cover', 0, 'extra-cover-block'), Location('extra-cover', 0, 'extra-cover-interstitial'), Location('extra-cover-items-group', 0, 'extra-cover-items'), Location('extra-cover-items-group', 0, 'extra-cover-items-radio'), Location('skip-payment-group', 0, 'skip-payment'), Location('summary-group', 0, 'summary'), ] navigation = _create_navigation(schema, AnswerStore(), metadata, completed_blocks, routing_path) confirmation_link = { 'link_name': 'Summary', 'highlight': False, 'repeating': False, 'completed': False, 'link_url': Location('summary-group', 0, 'summary').url(metadata) } navigation_links = navigation.build_navigation('property-details', 0) self.assertIn(confirmation_link, navigation_links) self.assertEqual(len(navigation_links), 6) def test_build_navigation_submit_answers_link_not_visible_for_survey_with_summary(self): schema = load_schema_from_params('test', 'navigation') schema.answer_is_in_repeating_group = MagicMock(return_value=True) metadata = { 'eq_id': '1', 'collection_exercise_sid': '999', 'form_type': 'some_form' } completed_blocks = [ Location('property-details', 0, 'insurance-type'), Location('property-details', 0, 'insurance-address'), Location('property-details', 0, 'property-interstitial'), Location('house-details', 0, 'house-type'), Location('multiple-questions-group', 0, 'household-composition'), Location('repeating-group', 0, 'repeating-block-1'), Location('repeating-group', 0, 'repeating-block-2'), Location('extra-cover', 0, 'extra-cover-block'), Location('extra-cover', 0, 'extra-cover-interstitial'), Location('payment-details', 0, 'credit-card'), Location('payment-details', 0, 'expiry-date'), Location('payment-details', 0, 'security-code'), Location('payment-details', 0, 'security-code-interstitial'), Location('extra-cover-items-group', 0, 'extra-cover-items'), ] navigation = _create_navigation(schema, AnswerStore(), metadata, completed_blocks, standard_routing_path) confirmation_link = { 'link_name': 'Submit answers', 'highlight': False, 'repeating': False, 'completed': False, 'link_url': Location('confirmation-group', 0, 'confirmation').url(metadata) } navigation_links = navigation.build_navigation('property-details', 0) self.assertNotIn(confirmation_link, navigation_links) self.assertEqual(len(navigation_links), 5) def test_build_navigation_submit_answers_link_hidden_when_no_sections_completed(self): schema = load_schema_from_params('test', 'navigation_confirmation') schema.answer_is_in_repeating_group = MagicMock(return_value=True) metadata = { 'eq_id': '1', 'collection_exercise_sid': '999', 'form_type': 'some_form' } navigation = _create_navigation(schema, AnswerStore(), metadata, [], []) confirmation_link = { 'link_name': 'Submit answers', 'highlight': False, 'repeating': False, 'completed': False, 'link_url': Location('confirmation-group', 0, 'confirmation').url(metadata) } navigation_links = navigation.build_navigation('property-details', 0) self.assertNotIn(confirmation_link, navigation_links) self.assertEqual(len(navigation_links), 4) def test_build_navigation_submit_answers_link_hidden_when_not_all_sections_completed(self): schema = load_schema_from_params('test', 'navigation_confirmation') schema.answer_is_in_repeating_group = MagicMock(return_value=True) metadata = { 'eq_id': '1', 'collection_exercise_sid': '999', 'form_type': 'some_form' } completed_blocks = [ Location('property-details', 0, 'insurance-type'), Location('property-details', 0, 'insurance-address'), Location('property-details', 0, 'property-interstitial'), Location('house-details', 0, 'house-type'), Location('multiple-questions-group', 0, 'household-composition'), ] navigation = _create_navigation(schema, AnswerStore(), metadata, completed_blocks, []) confirmation_link = { 'link_name': 'Submit answers', 'highlight': False, 'repeating': False, 'completed': False, 'link_url': Location('confirmation-group', 0, 'confirmation').url(metadata) } navigation_links = navigation.build_navigation('property-details', 0) self.assertNotIn(confirmation_link, navigation_links) self.assertEqual(len(navigation_links), 4) def test_build_navigation_submit_answers_link_visible_when_all_sections_complete(self): schema = load_schema_from_params('test', 'navigation_confirmation') schema.answer_is_in_repeating_group = MagicMock(return_value=True) metadata = { 'eq_id': '1', 'collection_exercise_sid': '999', 'form_type': 'some_form' } completed_blocks = [ Location('property-details', 0, 'insurance-type'), Location('property-details', 0, 'insurance-address'), Location('property-details', 0, 'property-interstitial'), Location('house-details', 0, 'house-type'), Location('multiple-questions-group', 0, 'household-composition'), Location('repeating-group', 0, 'repeating-block-1'), Location('repeating-group', 0, 'repeating-block-2'), Location('extra-cover', 0, 'extra-cover-block'), Location('extra-cover', 0, 'extra-cover-interstitial'), Location('payment-details', 0, 'credit-card'), Location('payment-details', 0, 'expiry-date'), Location('payment-details', 0, 'security-code'), Location('payment-details', 0, 'security-code-interstitial'), Location('extra-cover-items-group', 0, 'extra-cover-items'), ] routing_path = [ Location('property-details', 0, 'insurance-type'), Location('property-details', 0, 'insurance-address'), Location('property-details', 0, 'property-interstitial'), Location('house-details', 0, 'house-type'), Location('multiple-questions-group', 0, 'household-composition'), Location('repeating-group', 0, 'repeating-block-1'), Location('repeating-group', 0, 'repeating-block-2'), Location('extra-cover', 0, 'extra-cover-block'), Location('extra-cover', 0, 'extra-cover-interstitial'), Location('payment-details', 0, 'credit-card'), Location('payment-details', 0, 'expiry-date'), Location('payment-details', 0, 'security-code'), Location('payment-details', 0, 'security-code-interstitial'), Location('extra-cover-items-group', 0, 'extra-cover-items'), Location('confirmation-group', 0, 'confirmation'), ] navigation = _create_navigation(schema, AnswerStore(), metadata, completed_blocks, routing_path) confirmation_link = { 'link_name': 'Submit answers', 'highlight': False, 'repeating': False, 'completed': False, 'link_url': Location('confirmation-group', 0, 'confirmation').url(metadata) } navigation_links = navigation.build_navigation('property-details', 0) self.assertIn(confirmation_link, navigation_links) self.assertEqual(len(navigation_links), 5) def test_build_navigation_summary_link_not_visible_for_survey_with_confirmation(self): schema = load_schema_from_params('test', 'navigation_confirmation') schema.answer_is_in_repeating_group = MagicMock(return_value=True) metadata = { 'eq_id': '1', 'collection_exercise_sid': '999', 'form_type': 'some_form' } completed_blocks = [ Location('property-details', 0, 'insurance-type'), Location('property-details', 0, 'insurance-address'), Location('property-details', 0, 'property-interstitial'), Location('house-details', 0, 'house-type'), Location('multiple-questions-group', 0, 'household-composition'), Location('repeating-group', 0, 'repeating-block-1'), Location('repeating-group', 0, 'repeating-block-2'), Location('extra-cover', 0, 'extra-cover-block'), Location('extra-cover', 0, 'extra-cover-interstitial'), Location('payment-details', 0, 'credit-card'), Location('payment-details', 0, 'expiry-date'), Location('payment-details', 0, 'security-code'), Location('payment-details', 0, 'security-code-interstitial'), Location('extra-cover-items-group', 0, 'extra-cover-items'), ] navigation = _create_navigation(schema, AnswerStore(), metadata, completed_blocks, []) confirmation_link = { 'link_name': 'Summary', 'highlight': False, 'repeating': False, 'completed': False, 'link_url': Location('summary-group', 0, 'summary').url(metadata) } self.assertNotIn(confirmation_link, navigation.build_navigation('property-details', 0)) def test_build_navigation_submit_answers_link_not_visible_when_no_completed_blocks(self): schema = load_schema_from_params('test', 'navigation') schema.answer_is_in_repeating_group = MagicMock(return_value=True) metadata = { 'eq_id': '1', 'collection_exercise_sid': '999', 'form_type': 'some_form' } completed_blocks = [] navigation = _create_navigation(schema, AnswerStore(), metadata, completed_blocks, standard_routing_path) confirmation_link = { 'link_name': 'Summary', 'highlight': False, 'repeating': False, 'completed': False, 'link_url': Location('summary-group', 0, 'summary').url(metadata) } navigation_links = navigation.build_navigation('property-details', 0) self.assertNotIn(confirmation_link, navigation_links) self.assertEqual(len(navigation_links), 5) def test_build_navigation_summary_link_hidden_when_not_on_routing_path(self): schema = load_schema_from_params('test', 'navigation') schema.answer_is_in_repeating_group = MagicMock(return_value=True) metadata = { 'eq_id': '1', 'collection_exercise_sid': '999', 'form_type': 'some_form' } completed_blocks = [ Location('property-details', 0, 'insurance-type'), Location('property-details', 0, 'insurance-address'), Location('property-details', 0, 'property-interstitial'), Location('house-details', 0, 'house-type'), Location('multiple-questions-group', 0, 'household-composition'), Location('repeating-group', 0, 'repeating-block-1'), Location('repeating-group', 0, 'repeating-block-2'), Location('extra-cover', 0, 'extra-cover-block'), Location('extra-cover', 0, 'extra-cover-interstitial'), Location('payment-details', 0, 'credit-card'), Location('payment-details', 0, 'expiry-date'), Location('payment-details', 0, 'security-code'), Location('payment-details', 0, 'security-code-interstitial'), Location('extra-cover-items-group', 0, 'extra-cover-items'), ] routing_path = [ Location('property-details', 0, 'insurance-type'), Location('property-details', 0, 'insurance-address'), Location('property-details', 0, 'property-interstitial'), Location('house-details', 0, 'house-type'), Location('multiple-questions-group', 0, 'household-composition'), Location('repeating-group', 0, 'repeating-block-1'), Location('repeating-group', 0, 'repeating-block-2'), Location('payment-details', 0, 'credit-card'), Location('payment-details', 0, 'expiry-date'), Location('payment-details', 0, 'security-code'), Location('payment-details', 0, 'security-code-interstitial'), Location('extra-cover', 0, 'extra-cover-block'), Location('extra-cover', 0, 'extra-cover-interstitial'), Location('extra-cover-items-group', 0, 'extra-cover-items'), Location('skip-payment-group', 0, 'skip-payment'), ] navigation = _create_navigation(schema, AnswerStore(), metadata, completed_blocks, routing_path) confirmation_link = { 'link_name': 'Summary', 'highlight': False, 'repeating': False, 'completed': False, 'link_url': Location('summary-group', 0, 'summary').url(metadata) } navigation_links = navigation.build_navigation('property-details', 0) self.assertNotIn(confirmation_link, navigation_links) self.assertEqual(len(navigation_links), 5) def test_build_navigation_summary_link_shown_when_invalid_section_present(self): schema = load_schema_from_params('test', 'navigation') metadata = { 'eq_id': '1', 'collection_exercise_sid': '999', 'form_type': 'some_form' } intro_section = { 'id': 'intro-section', 'title': 'Intro', 'groups': [{ 'id': 'intro-group', 'blocks': [{ 'id': 'intro-block', 'type': 'Interstitial' }] }] } schema.json['sections'].insert(0, intro_section) # pylint: disable=protected-access schema._parse_schema() completed_blocks = [ Location('property-details', 0, 'insurance-type'), Location('multiple-questions-group', 0, 'household-composition'), Location('repeating-group', 0, 'repeating-block-1'), Location('repeating-group', 0, 'repeating-block-2'), Location('skip-payment-group', 0, 'skip-payment'), ] routing_path = [ Location('property-details', 0, 'insurance-type'), Location('multiple-questions-group', 0, 'household-composition'), Location('repeating-group', 0, 'repeating-block-1'), Location('repeating-group', 0, 'repeating-block-2'), Location('skip-payment-group', 0, 'skip-payment'), ] navigation = _create_navigation(schema, AnswerStore(), metadata, completed_blocks, routing_path) confirmation_link = { 'link_name': 'Summary', 'highlight': False, 'repeating': False, 'completed': False, 'link_url': Location('summary-group', 0, 'summary').url(metadata) } navigation_links = navigation.build_navigation('skip-payment', 0) self.assertIn(confirmation_link, navigation_links) self.assertEqual(len(navigation_links), 7) def test_build_navigation_repeated_blocks_independent_completeness(self): schema = load_schema_from_params('test', 'navigation') schema.answer_is_in_repeating_group = MagicMock(return_value=True) metadata = { 'eq_id': '1', 'collection_exercise_sid': '999', 'form_type': 'some_form' } completed_blocks = [ Location('property-details', 0, 'insurance-type'), Location('property-details', 0, 'insurance-address'), Location('repeating-group', 0, 'repeating-block-1'), Location('repeating-group', 0, 'repeating-block-2'), Location('multiple-questions-group', 0, 'household-composition'), Location('extra-cover', 0, 'extra-cover-block') ] answer_store = AnswerStore() person1_uuid = uuid.uuid4() person2_uuid = uuid.uuid4() answer_store.add(Answer( answer_instance=0, answer_id='first-name', group_instance=0, value='Person1', group_instance_id=person1_uuid )) answer_store.add(Answer( answer_instance=1, answer_id='first-name', group_instance=0, value='Person2', group_instance_id=person2_uuid )) answer_store.add(Answer( answer_instance=0, answer_id='what-is-your-age', group_instance=0, value=42, group_instance_id=person1_uuid )) answer_store.add(Answer( answer_instance=0, answer_id='what-is-your-shoe-size', group_instance=0, value='Employed', group_instance_id=person1_uuid )) routing_path = [ Location('property-details', 0, 'insurance-type'), Location('property-details', 0, 'insurance-address'), Location('repeating-group', 0, 'repeating-block-1'), Location('repeating-group', 0, 'repeating-block-2'), Location('repeating-group', 1, 'repeating-block-1'), Location('repeating-group', 1, 'repeating-block-2'), Location('multiple-questions-group', 0, 'household-composition'), Location('extra-cover', 0, 'extra-cover-block'), Location('extra-cover-items-group', 0, 'extra-cover-items'), Location('skip-payment-group', 0, 'skip-payment'), ] navigation = _create_navigation(schema, answer_store, metadata, completed_blocks, routing_path) user_navigation = [ { 'completed': True, 'highlight': True, 'repeating': False, 'link_name': 'Property Details', 'link_url': Location('property-details', 0, 'insurance-type').url(metadata) }, { 'link_name': 'Household Composition', 'highlight': False, 'repeating': False, 'completed': True, 'link_url': Location('multiple-questions-group', 0, 'household-composition').url(metadata) }, { 'completed': True, 'highlight': False, 'repeating': True, 'link_name': 'Person1', 'link_url': Location('repeating-group', 0, 'repeating-block-1').url(metadata), }, { 'completed': False, 'highlight': False, 'repeating': True, 'link_name': 'Person2', 'link_url': Location('repeating-group', 1, 'repeating-block-1').url(metadata), }, { 'completed': True, 'highlight': False, 'repeating': False, 'link_name': 'Extra Cover', 'link_url': Location('extra-cover', 0, 'extra-cover-block').url(metadata), }, { 'completed': False, 'highlight': False, 'repeating': False, 'link_name': 'Payment Details', 'link_url': Location('skip-payment-group', 0, 'skip-payment').url(metadata), }, { 'link_name': 'Final section', 'highlight': False, 'repeating': False, 'completed': False, 'link_url': Location('final-section-routed-group', 0, 'final-interstitial').url(metadata) } ] self.assertEqual(navigation.build_navigation('property-details', 0), user_navigation) def test_build_navigation_first_group_with_skip_condition_containing_repeating_group(self): schema = load_schema_from_params('test', 'navigation') schema.answer_is_in_repeating_group = MagicMock(return_value=True) metadata = { 'eq_id': '1', 'collection_exercise_sid': '999', 'form_type': 'some_form' } # add group to extra-cover-items-section schema.json['sections'][6]['groups'].insert(0, { 'id': 'extra-cover-items-intro', 'skip_conditions': [{ 'when': [{ 'id': 'extra-cover-answer', 'condition': 'not set' }] }], 'blocks': [{ 'id': 'household-full-names-intro-block', 'type': 'Interstitial' }] }) completed_blocks = [ Location('property-details', 0, 'insurance-type'), Location('property-details', 0, 'insurance-address'), Location('property-interstitial-section', 0, 'property-interstitial'), Location('multiple-questions-group', 0, 'household-composition'), Location('extra-cover', 0, 'extra-cover-block'), Location('extra-cover-items-group', 0, 'extra-cover-items'), ] routing_path = [ Location('property-details', 0, 'insurance-type'), Location('property-details', 0, 'insurance-address'), Location('property-interstitial-section', 0, 'property-interstitial'), Location('multiple-questions-group', 0, 'household-composition'), Location('extra-cover', 0, 'extra-cover-block'), Location('extra-cover-items-group', 0, 'extra-cover-items'), Location('skip-payment-group', 0, 'skip-payment'), ] navigation = _create_navigation(schema, AnswerStore(), metadata, completed_blocks, routing_path) user_navigation = [ { 'completed': True, 'highlight': True, 'repeating': False, 'link_name': 'Property Details', 'link_url': Location('property-details', 0, 'insurance-type').url(metadata) }, { 'link_name': 'Household Composition', 'highlight': False, 'repeating': False, 'completed': True, 'link_url': Location('multiple-questions-group', 0, 'household-composition').url(metadata) }, # deliberately omitting extra cover section { 'completed': True, 'highlight': False, 'repeating': False, 'link_name': 'Extra Cover', 'link_url': Location('extra-cover', 0, 'extra-cover-block').url(metadata), }, { 'completed': False, 'highlight': False, 'repeating': False, 'link_name': 'Payment Details', 'link_url': Location('skip-payment-group', 0, 'skip-payment').url(metadata), }, { 'link_name': 'Final section', 'highlight': False, 'repeating': False, 'completed': False, 'link_url': Location('final-section-routed-group', 0, 'final-interstitial').url(metadata) } ] self.assertEqual(navigation.build_navigation( 'property-details', 0), user_navigation) def test_build_navigation_with_single_skipped_block_in_group(self): """A section containing a group which doesn't have all of its blocks skipped should have its navigation rendered """ schema = load_schema_from_params('test', 'navigation') schema.answer_is_in_repeating_group = MagicMock(return_value=True) metadata = { 'eq_id': '1', 'collection_exercise_sid': '999', 'form_type': 'some_form' } # skip the insurance-address block if insurance-type-answer is Both schema.json['sections'][0]['groups'][0]['blocks'][1]['skip_conditions'] = [{ 'when': [{ 'id': 'insurance-type-answer', 'condition': 'equals', 'value': 'Both' }] }] completed_blocks = [ Location('property-details', 0, 'insurance-type'), ] answer_store = AnswerStore() answer_store.add(Answer( answer_instance=0, answer_id='insurance-type-answer', group_instance=0, value='Both' )) routing_path = [ Location('property-details', 0, 'insurance-type'), Location('property-details', 0, 'insurance-address'), Location('skip-payment-group', 0, 'skip-payment'), ] navigation = _create_navigation(schema, answer_store, metadata, completed_blocks, routing_path) user_navigation = [ { 'completed': True, 'highlight': True, 'repeating': False, 'link_name': 'Property Details', 'link_url': Location('property-details', 0, 'insurance-type').url(metadata) }, { 'link_name': 'House Details', 'highlight': False, 'repeating': False, 'completed': False, 'link_url': Location('house-details', 0, 'house-type').url(metadata) }, { 'link_name': 'Household Composition', 'highlight': False, 'repeating': False, 'completed': False, 'link_url': Location('multiple-questions-group', 0, 'household-composition').url(metadata) }, { 'completed': False, 'highlight': False, 'repeating': False, 'link_name': 'Extra Cover', 'link_url': Location('extra-cover', 0, 'extra-cover-block').url(metadata), }, { 'completed': False, 'highlight': False, 'repeating': False, 'link_name': 'Payment Details', 'link_url': Location('skip-payment-group', 0, 'skip-payment').url(metadata), }, { 'link_name': 'Final section', 'highlight': False, 'repeating': False, 'completed': False, 'link_url': Location('final-section-routed-group', 0, 'final-interstitial').url(metadata) } ] self.assertEqual(navigation.build_navigation('property-details', 0), user_navigation) def test_build_navigation_completed_section_with_summary_links_to_last_block(self): schema = load_schema_from_params('test', 'navigation_confirmation') schema.answer_is_in_repeating_group = MagicMock(return_value=True) schema.json['sections'][0]['groups'][0]['blocks'].append({ 'id': 'property-summary', 'type': 'SectionSummary' }) metadata = { 'eq_id': '1', 'collection_exercise_sid': '999', 'form_type': 'some_form' } completed_blocks = [ Location('property-details', 0, 'insurance-type'), Location('property-details', 0, 'insurance-address'), Location('property-details', 0, 'property-interstitial'), ] routing_path = [ Location('property-details', 0, 'insurance-type'), Location('property-details', 0, 'insurance-address'), Location('property-details', 0, 'property-interstitial'), Location('property-details', 0, 'property-summary'), ] navigation = _create_navigation(schema, AnswerStore(), metadata, completed_blocks, routing_path) confirmation_link = { 'link_name': 'Property Details', 'highlight': True, 'repeating': False, 'completed': True, 'link_url': Location('property-details', 0, 'property-summary').url(metadata) } self.assertIn(confirmation_link, navigation.build_navigation('property-details', 0)) def _create_navigation(schema, answer_store, metadata, completed_blocks, routing_path): completeness = Completeness(schema, answer_store, completed_blocks, routing_path, metadata) return Navigation(schema, answer_store, metadata, completed_blocks, routing_path, completeness)

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9909658565d4d55d87a6f691f953434c8af8ebfb

28,715

py

Python

sdk/python/pulumi_aws/ec2/vpc_peering_connection_accepter.py

aamir-locus/pulumi-aws

3e234b050129bde35d8e072a88bd608562f02142

[ "ECL-2.0", "Apache-2.0" ]

null

sdk/python/pulumi_aws/ec2/vpc_peering_connection_accepter.py

aamir-locus/pulumi-aws

3e234b050129bde35d8e072a88bd608562f02142

[ "ECL-2.0", "Apache-2.0" ]

null

sdk/python/pulumi_aws/ec2/vpc_peering_connection_accepter.py

aamir-locus/pulumi-aws

3e234b050129bde35d8e072a88bd608562f02142

[ "ECL-2.0", "Apache-2.0" ]

null

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities from . import outputs from ._inputs import * __all__ = ['VpcPeeringConnectionAccepterArgs', 'VpcPeeringConnectionAccepter'] @pulumi.input_type class VpcPeeringConnectionAccepterArgs: def __init__(__self__, *, vpc_peering_connection_id: pulumi.Input[str], accepter: Optional[pulumi.Input['VpcPeeringConnectionAccepterAccepterArgs']] = None, auto_accept: Optional[pulumi.Input[bool]] = None, requester: Optional[pulumi.Input['VpcPeeringConnectionAccepterRequesterArgs']] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None): """ The set of arguments for constructing a VpcPeeringConnectionAccepter resource. :param pulumi.Input[str] vpc_peering_connection_id: The VPC Peering Connection ID to manage. :param pulumi.Input['VpcPeeringConnectionAccepterAccepterArgs'] accepter: A configuration block that describes [VPC Peering Connection] (https://docs.aws.amazon.com/vpc/latest/peering/what-is-vpc-peering.html) options set for the accepter VPC. :param pulumi.Input[bool] auto_accept: Whether or not to accept the peering request. Defaults to `false`. :param pulumi.Input['VpcPeeringConnectionAccepterRequesterArgs'] requester: A configuration block that describes [VPC Peering Connection] (https://docs.aws.amazon.com/vpc/latest/peering/what-is-vpc-peering.html) options set for the requester VPC. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A map of tags to assign to the resource. """ pulumi.set(__self__, "vpc_peering_connection_id", vpc_peering_connection_id) if accepter is not None: pulumi.set(__self__, "accepter", accepter) if auto_accept is not None: pulumi.set(__self__, "auto_accept", auto_accept) if requester is not None: pulumi.set(__self__, "requester", requester) if tags is not None: pulumi.set(__self__, "tags", tags) @property @pulumi.getter(name="vpcPeeringConnectionId") def vpc_peering_connection_id(self) -> pulumi.Input[str]: """ The VPC Peering Connection ID to manage. """ return pulumi.get(self, "vpc_peering_connection_id") @vpc_peering_connection_id.setter def vpc_peering_connection_id(self, value: pulumi.Input[str]): pulumi.set(self, "vpc_peering_connection_id", value) @property @pulumi.getter def accepter(self) -> Optional[pulumi.Input['VpcPeeringConnectionAccepterAccepterArgs']]: """ A configuration block that describes [VPC Peering Connection] (https://docs.aws.amazon.com/vpc/latest/peering/what-is-vpc-peering.html) options set for the accepter VPC. """ return pulumi.get(self, "accepter") @accepter.setter def accepter(self, value: Optional[pulumi.Input['VpcPeeringConnectionAccepterAccepterArgs']]): pulumi.set(self, "accepter", value) @property @pulumi.getter(name="autoAccept") def auto_accept(self) -> Optional[pulumi.Input[bool]]: """ Whether or not to accept the peering request. Defaults to `false`. """ return pulumi.get(self, "auto_accept") @auto_accept.setter def auto_accept(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "auto_accept", value) @property @pulumi.getter def requester(self) -> Optional[pulumi.Input['VpcPeeringConnectionAccepterRequesterArgs']]: """ A configuration block that describes [VPC Peering Connection] (https://docs.aws.amazon.com/vpc/latest/peering/what-is-vpc-peering.html) options set for the requester VPC. """ return pulumi.get(self, "requester") @requester.setter def requester(self, value: Optional[pulumi.Input['VpcPeeringConnectionAccepterRequesterArgs']]): pulumi.set(self, "requester", value) @property @pulumi.getter def tags(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]: """ A map of tags to assign to the resource. """ return pulumi.get(self, "tags") @tags.setter def tags(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]): pulumi.set(self, "tags", value) @pulumi.input_type class _VpcPeeringConnectionAccepterState: def __init__(__self__, *, accept_status: Optional[pulumi.Input[str]] = None, accepter: Optional[pulumi.Input['VpcPeeringConnectionAccepterAccepterArgs']] = None, auto_accept: Optional[pulumi.Input[bool]] = None, peer_owner_id: Optional[pulumi.Input[str]] = None, peer_region: Optional[pulumi.Input[str]] = None, peer_vpc_id: Optional[pulumi.Input[str]] = None, requester: Optional[pulumi.Input['VpcPeeringConnectionAccepterRequesterArgs']] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, vpc_id: Optional[pulumi.Input[str]] = None, vpc_peering_connection_id: Optional[pulumi.Input[str]] = None): """ Input properties used for looking up and filtering VpcPeeringConnectionAccepter resources. :param pulumi.Input[str] accept_status: The status of the VPC Peering Connection request. :param pulumi.Input['VpcPeeringConnectionAccepterAccepterArgs'] accepter: A configuration block that describes [VPC Peering Connection] (https://docs.aws.amazon.com/vpc/latest/peering/what-is-vpc-peering.html) options set for the accepter VPC. :param pulumi.Input[bool] auto_accept: Whether or not to accept the peering request. Defaults to `false`. :param pulumi.Input[str] peer_owner_id: The AWS account ID of the owner of the requester VPC. :param pulumi.Input[str] peer_region: The region of the accepter VPC. :param pulumi.Input[str] peer_vpc_id: The ID of the requester VPC. :param pulumi.Input['VpcPeeringConnectionAccepterRequesterArgs'] requester: A configuration block that describes [VPC Peering Connection] (https://docs.aws.amazon.com/vpc/latest/peering/what-is-vpc-peering.html) options set for the requester VPC. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A map of tags to assign to the resource. :param pulumi.Input[str] vpc_id: The ID of the accepter VPC. :param pulumi.Input[str] vpc_peering_connection_id: The VPC Peering Connection ID to manage. """ if accept_status is not None: pulumi.set(__self__, "accept_status", accept_status) if accepter is not None: pulumi.set(__self__, "accepter", accepter) if auto_accept is not None: pulumi.set(__self__, "auto_accept", auto_accept) if peer_owner_id is not None: pulumi.set(__self__, "peer_owner_id", peer_owner_id) if peer_region is not None: pulumi.set(__self__, "peer_region", peer_region) if peer_vpc_id is not None: pulumi.set(__self__, "peer_vpc_id", peer_vpc_id) if requester is not None: pulumi.set(__self__, "requester", requester) if tags is not None: pulumi.set(__self__, "tags", tags) if vpc_id is not None: pulumi.set(__self__, "vpc_id", vpc_id) if vpc_peering_connection_id is not None: pulumi.set(__self__, "vpc_peering_connection_id", vpc_peering_connection_id) @property @pulumi.getter(name="acceptStatus") def accept_status(self) -> Optional[pulumi.Input[str]]: """ The status of the VPC Peering Connection request. """ return pulumi.get(self, "accept_status") @accept_status.setter def accept_status(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "accept_status", value) @property @pulumi.getter def accepter(self) -> Optional[pulumi.Input['VpcPeeringConnectionAccepterAccepterArgs']]: """ A configuration block that describes [VPC Peering Connection] (https://docs.aws.amazon.com/vpc/latest/peering/what-is-vpc-peering.html) options set for the accepter VPC. """ return pulumi.get(self, "accepter") @accepter.setter def accepter(self, value: Optional[pulumi.Input['VpcPeeringConnectionAccepterAccepterArgs']]): pulumi.set(self, "accepter", value) @property @pulumi.getter(name="autoAccept") def auto_accept(self) -> Optional[pulumi.Input[bool]]: """ Whether or not to accept the peering request. Defaults to `false`. """ return pulumi.get(self, "auto_accept") @auto_accept.setter def auto_accept(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "auto_accept", value) @property @pulumi.getter(name="peerOwnerId") def peer_owner_id(self) -> Optional[pulumi.Input[str]]: """ The AWS account ID of the owner of the requester VPC. """ return pulumi.get(self, "peer_owner_id") @peer_owner_id.setter def peer_owner_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "peer_owner_id", value) @property @pulumi.getter(name="peerRegion") def peer_region(self) -> Optional[pulumi.Input[str]]: """ The region of the accepter VPC. """ return pulumi.get(self, "peer_region") @peer_region.setter def peer_region(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "peer_region", value) @property @pulumi.getter(name="peerVpcId") def peer_vpc_id(self) -> Optional[pulumi.Input[str]]: """ The ID of the requester VPC. """ return pulumi.get(self, "peer_vpc_id") @peer_vpc_id.setter def peer_vpc_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "peer_vpc_id", value) @property @pulumi.getter def requester(self) -> Optional[pulumi.Input['VpcPeeringConnectionAccepterRequesterArgs']]: """ A configuration block that describes [VPC Peering Connection] (https://docs.aws.amazon.com/vpc/latest/peering/what-is-vpc-peering.html) options set for the requester VPC. """ return pulumi.get(self, "requester") @requester.setter def requester(self, value: Optional[pulumi.Input['VpcPeeringConnectionAccepterRequesterArgs']]): pulumi.set(self, "requester", value) @property @pulumi.getter def tags(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]: """ A map of tags to assign to the resource. """ return pulumi.get(self, "tags") @tags.setter def tags(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]): pulumi.set(self, "tags", value) @property @pulumi.getter(name="vpcId") def vpc_id(self) -> Optional[pulumi.Input[str]]: """ The ID of the accepter VPC. """ return pulumi.get(self, "vpc_id") @vpc_id.setter def vpc_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "vpc_id", value) @property @pulumi.getter(name="vpcPeeringConnectionId") def vpc_peering_connection_id(self) -> Optional[pulumi.Input[str]]: """ The VPC Peering Connection ID to manage. """ return pulumi.get(self, "vpc_peering_connection_id") @vpc_peering_connection_id.setter def vpc_peering_connection_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "vpc_peering_connection_id", value) class VpcPeeringConnectionAccepter(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, accepter: Optional[pulumi.Input[pulumi.InputType['VpcPeeringConnectionAccepterAccepterArgs']]] = None, auto_accept: Optional[pulumi.Input[bool]] = None, requester: Optional[pulumi.Input[pulumi.InputType['VpcPeeringConnectionAccepterRequesterArgs']]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, vpc_peering_connection_id: Optional[pulumi.Input[str]] = None, __props__=None): """ Provides a resource to manage the accepter's side of a VPC Peering Connection. When a cross-account (requester's AWS account differs from the accepter's AWS account) or an inter-region VPC Peering Connection is created, a VPC Peering Connection resource is automatically created in the accepter's account. The requester can use the `ec2.VpcPeeringConnection` resource to manage its side of the connection and the accepter can use the `ec2.VpcPeeringConnectionAccepter` resource to "adopt" its side of the connection into management. ## Example Usage ```python import pulumi import pulumi_aws as aws import pulumi_pulumi as pulumi peer = pulumi.providers.Aws("peer", region="us-west-2") # Accepter's credentials. main = aws.ec2.Vpc("main", cidr_block="10.0.0.0/16") peer_vpc = aws.ec2.Vpc("peerVpc", cidr_block="10.1.0.0/16", opts=pulumi.ResourceOptions(provider=aws["peer"])) peer_caller_identity = aws.get_caller_identity() # Requester's side of the connection. peer_vpc_peering_connection = aws.ec2.VpcPeeringConnection("peerVpcPeeringConnection", vpc_id=main.id, peer_vpc_id=peer_vpc.id, peer_owner_id=peer_caller_identity.account_id, peer_region="us-west-2", auto_accept=False, tags={ "Side": "Requester", }) # Accepter's side of the connection. peer_vpc_peering_connection_accepter = aws.ec2.VpcPeeringConnectionAccepter("peerVpcPeeringConnectionAccepter", vpc_peering_connection_id=peer_vpc_peering_connection.id, auto_accept=True, tags={ "Side": "Accepter", }, opts=pulumi.ResourceOptions(provider=aws["peer"])) ``` ## Import VPC Peering Connection Accepters can be imported by using the Peering Connection ID, e.g. ```sh $ pulumi import aws:ec2/vpcPeeringConnectionAccepter:VpcPeeringConnectionAccepter example pcx-12345678 ``` Certain resource arguments, like `auto_accept`, do not have an EC2 API method for reading the information after peering connection creation. If the argument is set in the provider configuration on an imported resource, this provder will always show a difference. To workaround this behavior, either omit the argument from the configuration or use [`ignoreChanges`](https://www.pulumi.com/docs/intro/concepts/programming-model/#ignorechanges) to hide the difference, e.g. terraform resource "aws_vpc_peering_connection_accepter" "example" { # ... other configuration ... # There is no AWS EC2 API for reading auto_accept lifecycle { ignore_changes = [auto_accept] } } :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[pulumi.InputType['VpcPeeringConnectionAccepterAccepterArgs']] accepter: A configuration block that describes [VPC Peering Connection] (https://docs.aws.amazon.com/vpc/latest/peering/what-is-vpc-peering.html) options set for the accepter VPC. :param pulumi.Input[bool] auto_accept: Whether or not to accept the peering request. Defaults to `false`. :param pulumi.Input[pulumi.InputType['VpcPeeringConnectionAccepterRequesterArgs']] requester: A configuration block that describes [VPC Peering Connection] (https://docs.aws.amazon.com/vpc/latest/peering/what-is-vpc-peering.html) options set for the requester VPC. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A map of tags to assign to the resource. :param pulumi.Input[str] vpc_peering_connection_id: The VPC Peering Connection ID to manage. """ ... @overload def __init__(__self__, resource_name: str, args: VpcPeeringConnectionAccepterArgs, opts: Optional[pulumi.ResourceOptions] = None): """ Provides a resource to manage the accepter's side of a VPC Peering Connection. When a cross-account (requester's AWS account differs from the accepter's AWS account) or an inter-region VPC Peering Connection is created, a VPC Peering Connection resource is automatically created in the accepter's account. The requester can use the `ec2.VpcPeeringConnection` resource to manage its side of the connection and the accepter can use the `ec2.VpcPeeringConnectionAccepter` resource to "adopt" its side of the connection into management. ## Example Usage ```python import pulumi import pulumi_aws as aws import pulumi_pulumi as pulumi peer = pulumi.providers.Aws("peer", region="us-west-2") # Accepter's credentials. main = aws.ec2.Vpc("main", cidr_block="10.0.0.0/16") peer_vpc = aws.ec2.Vpc("peerVpc", cidr_block="10.1.0.0/16", opts=pulumi.ResourceOptions(provider=aws["peer"])) peer_caller_identity = aws.get_caller_identity() # Requester's side of the connection. peer_vpc_peering_connection = aws.ec2.VpcPeeringConnection("peerVpcPeeringConnection", vpc_id=main.id, peer_vpc_id=peer_vpc.id, peer_owner_id=peer_caller_identity.account_id, peer_region="us-west-2", auto_accept=False, tags={ "Side": "Requester", }) # Accepter's side of the connection. peer_vpc_peering_connection_accepter = aws.ec2.VpcPeeringConnectionAccepter("peerVpcPeeringConnectionAccepter", vpc_peering_connection_id=peer_vpc_peering_connection.id, auto_accept=True, tags={ "Side": "Accepter", }, opts=pulumi.ResourceOptions(provider=aws["peer"])) ``` ## Import VPC Peering Connection Accepters can be imported by using the Peering Connection ID, e.g. ```sh $ pulumi import aws:ec2/vpcPeeringConnectionAccepter:VpcPeeringConnectionAccepter example pcx-12345678 ``` Certain resource arguments, like `auto_accept`, do not have an EC2 API method for reading the information after peering connection creation. If the argument is set in the provider configuration on an imported resource, this provder will always show a difference. To workaround this behavior, either omit the argument from the configuration or use [`ignoreChanges`](https://www.pulumi.com/docs/intro/concepts/programming-model/#ignorechanges) to hide the difference, e.g. terraform resource "aws_vpc_peering_connection_accepter" "example" { # ... other configuration ... # There is no AWS EC2 API for reading auto_accept lifecycle { ignore_changes = [auto_accept] } } :param str resource_name: The name of the resource. :param VpcPeeringConnectionAccepterArgs args: The arguments to use to populate this resource's properties. :param pulumi.ResourceOptions opts: Options for the resource. """ ... def __init__(__self__, resource_name: str, *args, **kwargs): resource_args, opts = _utilities.get_resource_args_opts(VpcPeeringConnectionAccepterArgs, pulumi.ResourceOptions, *args, **kwargs) if resource_args is not None: __self__._internal_init(resource_name, opts, **resource_args.__dict__) else: __self__._internal_init(resource_name, *args, **kwargs) def _internal_init(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, accepter: Optional[pulumi.Input[pulumi.InputType['VpcPeeringConnectionAccepterAccepterArgs']]] = None, auto_accept: Optional[pulumi.Input[bool]] = None, requester: Optional[pulumi.Input[pulumi.InputType['VpcPeeringConnectionAccepterRequesterArgs']]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, vpc_peering_connection_id: Optional[pulumi.Input[str]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = VpcPeeringConnectionAccepterArgs.__new__(VpcPeeringConnectionAccepterArgs) __props__.__dict__["accepter"] = accepter __props__.__dict__["auto_accept"] = auto_accept __props__.__dict__["requester"] = requester __props__.__dict__["tags"] = tags if vpc_peering_connection_id is None and not opts.urn: raise TypeError("Missing required property 'vpc_peering_connection_id'") __props__.__dict__["vpc_peering_connection_id"] = vpc_peering_connection_id __props__.__dict__["accept_status"] = None __props__.__dict__["peer_owner_id"] = None __props__.__dict__["peer_region"] = None __props__.__dict__["peer_vpc_id"] = None __props__.__dict__["vpc_id"] = None super(VpcPeeringConnectionAccepter, __self__).__init__( 'aws:ec2/vpcPeeringConnectionAccepter:VpcPeeringConnectionAccepter', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, accept_status: Optional[pulumi.Input[str]] = None, accepter: Optional[pulumi.Input[pulumi.InputType['VpcPeeringConnectionAccepterAccepterArgs']]] = None, auto_accept: Optional[pulumi.Input[bool]] = None, peer_owner_id: Optional[pulumi.Input[str]] = None, peer_region: Optional[pulumi.Input[str]] = None, peer_vpc_id: Optional[pulumi.Input[str]] = None, requester: Optional[pulumi.Input[pulumi.InputType['VpcPeeringConnectionAccepterRequesterArgs']]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, vpc_id: Optional[pulumi.Input[str]] = None, vpc_peering_connection_id: Optional[pulumi.Input[str]] = None) -> 'VpcPeeringConnectionAccepter': """ Get an existing VpcPeeringConnectionAccepter resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] accept_status: The status of the VPC Peering Connection request. :param pulumi.Input[pulumi.InputType['VpcPeeringConnectionAccepterAccepterArgs']] accepter: A configuration block that describes [VPC Peering Connection] (https://docs.aws.amazon.com/vpc/latest/peering/what-is-vpc-peering.html) options set for the accepter VPC. :param pulumi.Input[bool] auto_accept: Whether or not to accept the peering request. Defaults to `false`. :param pulumi.Input[str] peer_owner_id: The AWS account ID of the owner of the requester VPC. :param pulumi.Input[str] peer_region: The region of the accepter VPC. :param pulumi.Input[str] peer_vpc_id: The ID of the requester VPC. :param pulumi.Input[pulumi.InputType['VpcPeeringConnectionAccepterRequesterArgs']] requester: A configuration block that describes [VPC Peering Connection] (https://docs.aws.amazon.com/vpc/latest/peering/what-is-vpc-peering.html) options set for the requester VPC. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A map of tags to assign to the resource. :param pulumi.Input[str] vpc_id: The ID of the accepter VPC. :param pulumi.Input[str] vpc_peering_connection_id: The VPC Peering Connection ID to manage. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _VpcPeeringConnectionAccepterState.__new__(_VpcPeeringConnectionAccepterState) __props__.__dict__["accept_status"] = accept_status __props__.__dict__["accepter"] = accepter __props__.__dict__["auto_accept"] = auto_accept __props__.__dict__["peer_owner_id"] = peer_owner_id __props__.__dict__["peer_region"] = peer_region __props__.__dict__["peer_vpc_id"] = peer_vpc_id __props__.__dict__["requester"] = requester __props__.__dict__["tags"] = tags __props__.__dict__["vpc_id"] = vpc_id __props__.__dict__["vpc_peering_connection_id"] = vpc_peering_connection_id return VpcPeeringConnectionAccepter(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="acceptStatus") def accept_status(self) -> pulumi.Output[str]: """ The status of the VPC Peering Connection request. """ return pulumi.get(self, "accept_status") @property @pulumi.getter def accepter(self) -> pulumi.Output['outputs.VpcPeeringConnectionAccepterAccepter']: """ A configuration block that describes [VPC Peering Connection] (https://docs.aws.amazon.com/vpc/latest/peering/what-is-vpc-peering.html) options set for the accepter VPC. """ return pulumi.get(self, "accepter") @property @pulumi.getter(name="autoAccept") def auto_accept(self) -> pulumi.Output[Optional[bool]]: """ Whether or not to accept the peering request. Defaults to `false`. """ return pulumi.get(self, "auto_accept") @property @pulumi.getter(name="peerOwnerId") def peer_owner_id(self) -> pulumi.Output[str]: """ The AWS account ID of the owner of the requester VPC. """ return pulumi.get(self, "peer_owner_id") @property @pulumi.getter(name="peerRegion") def peer_region(self) -> pulumi.Output[str]: """ The region of the accepter VPC. """ return pulumi.get(self, "peer_region") @property @pulumi.getter(name="peerVpcId") def peer_vpc_id(self) -> pulumi.Output[str]: """ The ID of the requester VPC. """ return pulumi.get(self, "peer_vpc_id") @property @pulumi.getter def requester(self) -> pulumi.Output['outputs.VpcPeeringConnectionAccepterRequester']: """ A configuration block that describes [VPC Peering Connection] (https://docs.aws.amazon.com/vpc/latest/peering/what-is-vpc-peering.html) options set for the requester VPC. """ return pulumi.get(self, "requester") @property @pulumi.getter def tags(self) -> pulumi.Output[Optional[Mapping[str, str]]]: """ A map of tags to assign to the resource. """ return pulumi.get(self, "tags") @property @pulumi.getter(name="vpcId") def vpc_id(self) -> pulumi.Output[str]: """ The ID of the accepter VPC. """ return pulumi.get(self, "vpc_id") @property @pulumi.getter(name="vpcPeeringConnectionId") def vpc_peering_connection_id(self) -> pulumi.Output[str]: """ The VPC Peering Connection ID to manage. """ return pulumi.get(self, "vpc_peering_connection_id")

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54d1f67854df8b103e4576cadafca8ecb4b3398a

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Python

python/swagger_client/api/admins_api.py

alextselegidis/easyappointments-sdk

8ba969dc1221ea614b70d4d52313f20fc85df1e1

[ "CC-BY-3.0" ]

null

python/swagger_client/api/admins_api.py

alextselegidis/easyappointments-sdk

8ba969dc1221ea614b70d4d52313f20fc85df1e1

[ "CC-BY-3.0" ]

null

python/swagger_client/api/admins_api.py

alextselegidis/easyappointments-sdk

8ba969dc1221ea614b70d4d52313f20fc85df1e1

[ "CC-BY-3.0" ]

null

# coding: utf-8 """ Easy!Appointments API These are the OpenAPI specs that describe the REST API of Easy!Appointments. # noqa: E501 OpenAPI spec version: 1.0.0 Contact: info@easyappointments.org Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from swagger_client.api_client import ApiClient class AdminsApi(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def admins_admin_id_delete(self, admin_id, **kwargs): # noqa: E501 """Delete an admin # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.admins_admin_id_delete(admin_id, async_req=True) >>> result = thread.get() :param async_req bool :param int admin_id: (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.admins_admin_id_delete_with_http_info(admin_id, **kwargs) # noqa: E501 else: (data) = self.admins_admin_id_delete_with_http_info(admin_id, **kwargs) # noqa: E501 return data def admins_admin_id_delete_with_http_info(self, admin_id, **kwargs): # noqa: E501 """Delete an admin # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.admins_admin_id_delete_with_http_info(admin_id, async_req=True) >>> result = thread.get() :param async_req bool :param int admin_id: (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['admin_id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method admins_admin_id_delete" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'admin_id' is set if ('admin_id' not in params or params['admin_id'] is None): raise ValueError("Missing the required parameter `admin_id` when calling `admins_admin_id_delete`") # noqa: E501 collection_formats = {} path_params = {} if 'admin_id' in params: path_params['adminId'] = params['admin_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['BasicAuth', 'BearerToken'] # noqa: E501 return self.api_client.call_api( '/admins/{adminId}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def admins_admin_id_get(self, admin_id, **kwargs): # noqa: E501 """Get an admin # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.admins_admin_id_get(admin_id, async_req=True) >>> result = thread.get() :param async_req bool :param int admin_id: (required) :return: AdminRecord If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.admins_admin_id_get_with_http_info(admin_id, **kwargs) # noqa: E501 else: (data) = self.admins_admin_id_get_with_http_info(admin_id, **kwargs) # noqa: E501 return data def admins_admin_id_get_with_http_info(self, admin_id, **kwargs): # noqa: E501 """Get an admin # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.admins_admin_id_get_with_http_info(admin_id, async_req=True) >>> result = thread.get() :param async_req bool :param int admin_id: (required) :return: AdminRecord If the method is called asynchronously, returns the request thread. """ all_params = ['admin_id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method admins_admin_id_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'admin_id' is set if ('admin_id' not in params or params['admin_id'] is None): raise ValueError("Missing the required parameter `admin_id` when calling `admins_admin_id_get`") # noqa: E501 collection_formats = {} path_params = {} if 'admin_id' in params: path_params['adminId'] = params['admin_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['BasicAuth', 'BearerToken'] # noqa: E501 return self.api_client.call_api( '/admins/{adminId}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='AdminRecord', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def admins_admin_id_put(self, body, admin_id, **kwargs): # noqa: E501 """Update an admin # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.admins_admin_id_put(body, admin_id, async_req=True) >>> result = thread.get() :param async_req bool :param AdminPayload body: (required) :param int admin_id: (required) :return: AdminRecord If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.admins_admin_id_put_with_http_info(body, admin_id, **kwargs) # noqa: E501 else: (data) = self.admins_admin_id_put_with_http_info(body, admin_id, **kwargs) # noqa: E501 return data def admins_admin_id_put_with_http_info(self, body, admin_id, **kwargs): # noqa: E501 """Update an admin # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.admins_admin_id_put_with_http_info(body, admin_id, async_req=True) >>> result = thread.get() :param async_req bool :param AdminPayload body: (required) :param int admin_id: (required) :return: AdminRecord If the method is called asynchronously, returns the request thread. """ all_params = ['body', 'admin_id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method admins_admin_id_put" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `admins_admin_id_put`") # noqa: E501 # verify the required parameter 'admin_id' is set if ('admin_id' not in params or params['admin_id'] is None): raise ValueError("Missing the required parameter `admin_id` when calling `admins_admin_id_put`") # noqa: E501 collection_formats = {} path_params = {} if 'admin_id' in params: path_params['adminId'] = params['admin_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['BasicAuth', 'BearerToken'] # noqa: E501 return self.api_client.call_api( '/admins/{adminId}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='AdminRecord', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def admins_get(self, **kwargs): # noqa: E501 """Get all admins # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.admins_get(async_req=True) >>> result = thread.get() :param async_req bool :param int page: :param int length: :param str sort: :param str q: :param str fields: :param str _with: :return: AdminCollection If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.admins_get_with_http_info(**kwargs) # noqa: E501 else: (data) = self.admins_get_with_http_info(**kwargs) # noqa: E501 return data def admins_get_with_http_info(self, **kwargs): # noqa: E501 """Get all admins # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.admins_get_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param int page: :param int length: :param str sort: :param str q: :param str fields: :param str _with: :return: AdminCollection If the method is called asynchronously, returns the request thread. """ all_params = ['page', 'length', 'sort', 'q', 'fields', '_with'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method admins_get" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'page' in params: query_params.append(('page', params['page'])) # noqa: E501 if 'length' in params: query_params.append(('length', params['length'])) # noqa: E501 if 'sort' in params: query_params.append(('sort', params['sort'])) # noqa: E501 if 'q' in params: query_params.append(('q', params['q'])) # noqa: E501 if 'fields' in params: query_params.append(('fields', params['fields'])) # noqa: E501 if '_with' in params: query_params.append(('with', params['_with'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['BasicAuth', 'BearerToken'] # noqa: E501 return self.api_client.call_api( '/admins', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='AdminCollection', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def admins_post(self, body, **kwargs): # noqa: E501 """Create an admin # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.admins_post(body, async_req=True) >>> result = thread.get() :param async_req bool :param AdminPayload body: (required) :return: AdminRecord If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.admins_post_with_http_info(body, **kwargs) # noqa: E501 else: (data) = self.admins_post_with_http_info(body, **kwargs) # noqa: E501 return data def admins_post_with_http_info(self, body, **kwargs): # noqa: E501 """Create an admin # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.admins_post_with_http_info(body, async_req=True) >>> result = thread.get() :param async_req bool :param AdminPayload body: (required) :return: AdminRecord If the method is called asynchronously, returns the request thread. """ all_params = ['body'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method admins_post" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `admins_post`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['BasicAuth', 'BearerToken'] # noqa: E501 return self.api_client.call_api( '/admins', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='AdminRecord', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats)

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07327704c291a8ca3e231ffd1369f84eebda10c4

16,203

py

Python

precise/skaters/managers/schurmanagers.py

microprediction/precise

0aa7c69c3c280926cec03fb6fc0934a6193da440

[ "MIT" ]

40

2022-01-13T00:40:59.000Z

2022-03-31T20:33:19.000Z

precise/skaters/managers/schurmanagers.py

microprediction/precise

0aa7c69c3c280926cec03fb6fc0934a6193da440

[ "MIT" ]

14

2022-01-08T16:00:12.000Z

2022-03-16T00:12:04.000Z

precise/skaters/managers/schurmanagers.py

microprediction/precise

0aa7c69c3c280926cec03fb6fc0934a6193da440

[ "MIT" ]

9

2022-01-26T21:14:43.000Z

2022-03-21T17:32:02.000Z

from precise.skaters.managers.schurmanagerfactory import schur_weak_weak_pm_manager_factory, schur_weak_weak_ewa_manager_factory, \ schur_diag_weak_pm_manager_factory, schur_vol_vol_ewa_manager_factory, schur_weak_vol_ewa_manager_factory, schur_diag_diag_ewa_manager_factory from precise.skaters.managers.buyandholdfactory import buy_and_hold USE_JS = False # gamma = 1.0 # r=0.025... def schur_weak_weak_pm_t0_r025_n50_s5_g100_long_manager(y, s, k=1,e=1, j=1): assert k==1 return schur_weak_weak_pm_manager_factory(y=y, s=s, target=0, e=e, r=0.025, n_emp=50, gamma=1.0, delta=0.0, j=j) def schur_weak_weak_pm_t0_r050_n25_s5_g100_long_manager(y, s, k=1,e=1, j=1): assert k==1 return schur_weak_weak_pm_manager_factory(y=y, s=s, target=0, e=e, r=0.050, n_emp=25, gamma=1.0, delta=0.0, j=j) def schur_weak_weak_ewa_r025_n50_s5_g100_long_manager(y, s, k=1,e=1, j=1): assert k==1 return schur_weak_weak_ewa_manager_factory(y=y, s=s, e=e, r=0.025, n_emp=50, gamma=1.0, delta=0.0, j=j) def schur_weak_weak_ewa_r050_n25_s5_g100_long_manager(y, s, k=1,e=1, j=1): assert k==1 return schur_weak_weak_ewa_manager_factory(y=y, s=s, e=e, r=0.05, n_emp=25, gamma=1.0, delta=0.0, j=j) ### Same but with weak entropish and larger sub-portfolios # ... first h=5.0 def schur_weak_weak_pm_t0_r025_n50_s25_g100_h500_long_manager(y, s=25, k=1,e=1, j=1): assert k==1 return schur_weak_weak_pm_manager_factory(y=y, s=s, target=0, e=e, r=0.025, n_emp=50, h=5.0, gamma=1.0, delta=0.0, j=j) def schur_weak_weak_pm_t0_r050_n25_s25_g100_h500_long_manager(y, s=25, k=1,e=1, j=1): assert k==1 return schur_weak_weak_pm_manager_factory(y=y, s=s, target=0, e=e, r=0.050, n_emp=25, h=5.0,gamma=1.0, delta=0.0, j=j) def schur_weak_weak_ewa_r025_n50_s25_g100_h500_long_manager(y, s=25, k=1,e=1, j=1): assert k==1 return schur_weak_weak_ewa_manager_factory(y=y, s=s, e=e, r=0.025, n_emp=50, h=5.0,gamma=1.0, delta=0.0, j=j) def schur_weak_weak_ewa_r050_n25_s25_g100_h500_long_manager(y, s=25, k=1,e=1, j=1): assert k==1 return schur_weak_weak_ewa_manager_factory(y=y, s=s, e=e, r=0.05, n_emp=25, h=5.0,gamma=1.0, delta=0.0, j=j) SCHUR_GAMMA_100_S25_H500_LONG_MANAGERS = [schur_weak_weak_pm_t0_r025_n50_s25_g100_h500_long_manager, schur_weak_weak_pm_t0_r050_n25_s25_g100_h500_long_manager, schur_weak_weak_ewa_r025_n50_s25_g100_h500_long_manager, schur_weak_weak_ewa_r050_n25_s25_g100_h500_long_manager] ### Same but with weak entropish and larger sub-portfolios and s=100 # ... first h=5.0 def schur_weak_weak_pm_t0_r025_n50_s100_g100_h500_long_manager(y, s=100, k=1,e=1, j=1): assert k==1 return schur_weak_weak_pm_manager_factory(y=y, s=s, target=0, e=e, r=0.025, n_emp=50, h=5.0, gamma=1.0, delta=0.0, j=j) def schur_weak_weak_pm_t0_r050_n25_s100_g100_h500_long_manager(y, s=100, k=1,e=1, j=1): assert k==1 return schur_weak_weak_pm_manager_factory(y=y, s=s, target=0, e=e, r=0.050, n_emp=25, h=5.0,gamma=1.0, delta=0.0, j=j) def schur_weak_weak_ewa_r025_n50_s100_g100_h500_long_manager(y, s=100, k=1,e=1, j=1): assert k==1 return schur_weak_weak_ewa_manager_factory(y=y, s=s, e=e, r=0.025, n_emp=50, h=5.0,gamma=1.0, delta=0.0, j=j) def schur_weak_weak_ewa_r050_n25_s100_g100_h500_long_manager(y, s=100, k=1,e=1, j=1): assert k==1 return schur_weak_weak_ewa_manager_factory(y=y, s=s, e=e, r=0.05, n_emp=25, h=5.0,gamma=1.0, delta=0.0, j=j) SCHUR_GAMMA_100_S100_H500_LONG_MANAGERS = [schur_weak_weak_pm_t0_r025_n50_s100_g100_h500_long_manager, schur_weak_weak_pm_t0_r050_n25_s100_g100_h500_long_manager, schur_weak_weak_ewa_r025_n50_s100_g100_h500_long_manager, schur_weak_weak_ewa_r050_n25_s100_g100_h500_long_manager] # ... then h=1.5 def schur_weak_weak_pm_t0_r025_n50_s25_g100_h150_long_manager(y, s=25, k=1,e=1, j=1): assert k==1 return schur_weak_weak_pm_manager_factory(y=y, s=s, target=0, e=e, r=0.025, n_emp=50, h=1.5, gamma=1.0, delta=0.0, j=j) def schur_weak_weak_pm_t0_r050_n25_s25_g100_h150_long_manager(y, s=25, k=1,e=1, j=1): assert k==1 return schur_weak_weak_pm_manager_factory(y=y, s=s, target=0, e=e, r=0.050, n_emp=25, h=1.0,gamma=1.0, delta=0.0, j=j) def schur_weak_weak_ewa_r025_n50_s25_g100_h150_long_manager(y, s=25, k=1,e=1, j=1): assert k==1 return schur_weak_weak_ewa_manager_factory(y=y, s=s, e=e, r=0.025, n_emp=50, h=1.5,gamma=1.0, delta=0.0, j=j) def schur_weak_weak_ewa_r050_n25_s25_g100_h150_long_manager(y, s=25, k=1,e=1, j=1): assert k==1 return schur_weak_weak_ewa_manager_factory(y=y, s=s, e=e, r=0.05, n_emp=25, h=1.5,gamma=1.0, delta=0.0, j=j) SCHUR_GAMMA_100_H150_LONG_MANAGERS = [schur_weak_weak_pm_t0_r025_n50_s25_g100_h150_long_manager, schur_weak_weak_pm_t0_r050_n25_s25_g100_h150_long_manager, schur_weak_weak_ewa_r025_n50_s25_g100_h150_long_manager, schur_weak_weak_ewa_r050_n25_s25_g100_h150_long_manager] # ... then h=1.25 def schur_weak_weak_pm_t0_r025_n50_s25_g100_h125_long_manager(y, s=25, k=1,e=1, j=1): assert k==1 return schur_weak_weak_pm_manager_factory(y=y, s=s, target=0, e=e, r=0.025, n_emp=50, h=1.25, gamma=1.0, delta=0.0, j=j) def schur_weak_weak_pm_t0_r050_n25_s25_g100_h125_long_manager(y, s=25, k=1,e=1, j=1): assert k==1 return schur_weak_weak_pm_manager_factory(y=y, s=s, target=0, e=e, r=0.050, n_emp=25, h=1.25,gamma=1.0, delta=0.0, j=j) def schur_weak_weak_ewa_r025_n50_s25_g100_h125_long_manager(y, s=25, k=1,e=1, j=1): assert k==1 return schur_weak_weak_ewa_manager_factory(y=y, s=s, e=e, r=0.025, n_emp=50, h=1.25,gamma=1.0, delta=0.0, j=j) def schur_weak_weak_ewa_r050_n25_s25_g100_h125_long_manager(y, s=25, k=1,e=1, j=1): assert k==1 return schur_weak_weak_ewa_manager_factory(y=y, s=s, e=e, r=0.05, n_emp=25, h=1.25,gamma=1.0, delta=0.0, j=j) SCHUR_GAMMA_100_H125_LONG_MANAGERS = [schur_weak_weak_pm_t0_r025_n50_s25_g100_h125_long_manager, schur_weak_weak_pm_t0_r050_n25_s25_g100_h125_long_manager, schur_weak_weak_ewa_r025_n50_s25_g100_h125_long_manager, schur_weak_weak_ewa_r050_n25_s25_g100_h125_long_manager] #-# r=0.05 ... def schur_weak_vol_ewa_r050_n25_s5_g100_long_manager(y, s, k=1,e=1, j=1): assert k==1 return schur_weak_vol_ewa_manager_factory(y=y, s=s, e=e, r=0.05, n_emp=25, n_split=5, gamma=1.0, delta=0.0, j=j) def schur_vol_vol_ewa_r050_n25_s5_g100_long_manager(y, s, k=1,e=1, j=1): assert k==1 return schur_vol_vol_ewa_manager_factory(y=y, s=s, e=e, r=0.05, n_emp=25, n_split=5, gamma=1.0, delta=0.0, j=j) def schur_diag_diag_ewa_r050_n25_s5_g100_long_manager(y, s, k=1,e=1, j=1): assert k==1 return schur_diag_diag_ewa_manager_factory(y=y, s=s, e=e, r=0.05, n_emp=25, n_split=5, gamma=1.0, delta=0.0, j=j) def schur_diag_weak_pm_t0_r050_n25_s5_g100_long_manager(y, s, k=1,e=1, j=1): assert k==1 return schur_diag_weak_pm_manager_factory(y=y, s=s, e=e, r=0.05, target=0, n_emp=25, n_split=5, gamma=1.0, delta=0.0, j=j) SCHUR_GAMMA_100_ENTROPISH_LONG_MANAGERS = SCHUR_GAMMA_100_H125_LONG_MANAGERS + \ SCHUR_GAMMA_100_H150_LONG_MANAGERS + \ SCHUR_GAMMA_100_S25_H500_LONG_MANAGERS + SCHUR_GAMMA_100_S100_H500_LONG_MANAGERS SCHUR_GAMMA_100_NON_ENTROPOSH_LONG_MANAGERS = [schur_weak_weak_pm_t0_r025_n50_s5_g100_long_manager, schur_weak_weak_pm_t0_r050_n25_s5_g100_long_manager, schur_weak_weak_ewa_r025_n50_s5_g100_long_manager, schur_weak_weak_ewa_r050_n25_s5_g100_long_manager, schur_weak_vol_ewa_r050_n25_s5_g100_long_manager, schur_vol_vol_ewa_r050_n25_s5_g100_long_manager, schur_diag_diag_ewa_r050_n25_s5_g100_long_manager, schur_diag_weak_pm_t0_r050_n25_s5_g100_long_manager] SCHUR_GAMMA_100_LONG_MANAGERS = SCHUR_GAMMA_100_ENTROPISH_LONG_MANAGERS + SCHUR_GAMMA_100_NON_ENTROPOSH_LONG_MANAGERS # r=0.025... def schur_weak_weak_pm_t0_r025_n50_s5_g050_long_manager(y, s, k=1,e=1, j=1): assert k==1 return schur_weak_weak_pm_manager_factory(y=y, s=s, target=0, e=e, r=0.025, n_emp=50, gamma=0.5, delta=0.0, j=j) def schur_weak_weak_pm_t0_r050_n25_s5_g050_long_manager(y, s, k=1,e=1, j=1): assert k==1 return schur_weak_weak_pm_manager_factory(y=y, s=s, target=0, e=e, r=0.050, n_emp=25, gamma=0.5, delta=0.0, j=j) def schur_weak_weak_ewa_r025_n50_s5_g050_long_manager(y, s, k=1,e=1, j=1): assert k==1 return schur_weak_weak_ewa_manager_factory(y=y, s=s, e=e, r=0.025, n_emp=50, gamma=0.5, delta=0.0, j=j) def schur_weak_weak_ewa_r050_n25_s5_g050_long_manager(y, s, k=1,e=1, j=1): assert k==1 return schur_weak_weak_ewa_manager_factory(y=y, s=s, e=e, r=0.05, n_emp=25, gamma=0.5, delta=0.0, j=j) #-# # r=0.05... def schur_weak_vol_ewa_r050_n25_s5_g050_long_manager(y, s, k=1,e=1, j=1): assert k==1 return schur_weak_vol_ewa_manager_factory(y=y, s=s, e=e, r=0.05, n_emp=25, n_split=5, gamma=0.5, delta=0.0, j=j) def schur_vol_vol_ewa_r050_n25_s5_g050_long_manager(y, s, k=1,e=1, j=1): assert k==1 return schur_vol_vol_ewa_manager_factory(y=y, s=s, e=e, r=0.05, n_emp=25, n_split=5, gamma=0.5, delta=0.0, j=j) def schur_diag_diag_ewa_r050_n25_s5_g050_long_manager(y, s, k=1,e=1, j=1): assert k==1 return schur_diag_diag_ewa_manager_factory(y=y, s=s, e=e, r=0.05, n_emp=25, n_split=5, gamma=0.5, delta=0.0, j=j) def schur_diag_weak_pm_t0_r050_n25_s5_g050_long_manager(y, s, k=1,e=1, j=1): assert k==1 return schur_diag_weak_pm_manager_factory(y=y, s=s, e=e, r=0.05, target=0, n_emp=25, n_split=5, gamma=0.5, delta=0.0, j=j) SCHUR_GAMMA_050_LONG_MANAGERS = [schur_weak_weak_pm_t0_r025_n50_s5_g050_long_manager, schur_weak_weak_pm_t0_r050_n25_s5_g050_long_manager, schur_weak_weak_ewa_r025_n50_s5_g050_long_manager, schur_weak_weak_ewa_r050_n25_s5_g050_long_manager, schur_weak_vol_ewa_r050_n25_s5_g050_long_manager, schur_vol_vol_ewa_r050_n25_s5_g050_long_manager, schur_diag_diag_ewa_r050_n25_s5_g050_long_manager, schur_diag_weak_pm_t0_r050_n25_s5_g050_long_manager] def schur_weak_weak_pm_t0_r025_n50_s5_g010_long_manager(y, s, k=1,e=1, j=1): assert k==1 return schur_weak_weak_pm_manager_factory(y=y, s=s, target=0, e=e, r=0.025, n_emp=50,gamma=0.1, delta=0.0, j=j) def schur_weak_weak_pm_t0_r050_n25_s5_g010_long_manager(y, s, k=1,e=1, j=1): assert k==1 return schur_weak_weak_pm_manager_factory(y=y, s=s, target=0, e=e, r=0.050, n_emp=25,gamma=0.1, delta=0.0, j=j) def schur_weak_weak_ewa_r025_n50_s5_g010_long_manager(y, s, k=1,e=1, j=1): assert k==1 return schur_weak_weak_ewa_manager_factory(y=y, s=s, e=e, r=0.025, n_emp=50,gamma=0.1, delta=0.0, j=j) def schur_weak_weak_ewa_r050_n25_s5_g010_long_manager(y, s, k=1,e=1, j=1): assert k==1 return schur_weak_weak_ewa_manager_factory(y=y, s=s, e=e, r=0.05, n_emp=25,gamma=0.1, delta=0.0, j=j) #-# def schur_weak_vol_ewa_r050_n25_s5_g010_long_manager(y, s, k=1,e=1, j=1): assert k==1 return schur_weak_vol_ewa_manager_factory(y=y, s=s, e=e, r=0.05, n_emp=25, n_split=5,gamma=0.1, delta=0.0, j=j) def schur_vol_vol_ewa_r050_n25_s5_g010_long_manager(y, s, k=1,e=1, j=1): assert k==1 return schur_vol_vol_ewa_manager_factory(y=y, s=s, e=e, r=0.05, n_emp=25, n_split=5,gamma=0.1, delta=0.0, j=j) def schur_diag_diag_ewa_r050_n25_s5_g010_long_manager(y, s, k=1,e=1, j=1): assert k==1 return schur_diag_diag_ewa_manager_factory(y=y, s=s, e=e, r=0.05, n_emp=25, n_split=5,gamma=0.1, delta=0.0, j=j) def schur_diag_weak_pm_t0_r050_n25_s5_g010_long_manager(y, s, k=1,e=1, j=1): assert k==1 return schur_diag_weak_pm_manager_factory(y=y, s=s, e=e, r=0.05, target=0, n_emp=25, n_split=5,gamma=0.1, delta=0.0, j=j) SCHUR_GAMMA_010_LONG_MANAGERS = [schur_weak_weak_pm_t0_r025_n50_s5_g010_long_manager, schur_weak_weak_pm_t0_r050_n25_s5_g010_long_manager, schur_weak_weak_ewa_r025_n50_s5_g010_long_manager, schur_weak_weak_ewa_r050_n25_s5_g010_long_manager, schur_weak_vol_ewa_r050_n25_s5_g010_long_manager, schur_vol_vol_ewa_r050_n25_s5_g010_long_manager, schur_diag_diag_ewa_r050_n25_s5_g010_long_manager, schur_diag_weak_pm_t0_r050_n25_s5_g010_long_manager] def schur_weak_weak_pm_t0_r025_n50_s5_g000_long_manager(y, s, k=1,e=1, j=1): assert k==1 return schur_weak_weak_pm_manager_factory(y=y, s=s, target=0, e=e, r=0.025, n_emp=50,gamma=0, delta=0.0, j=j) def schur_weak_weak_pm_t0_r050_n25_s5_g000_long_manager(y, s, k=1,e=1, j=1): assert k==1 return schur_weak_weak_pm_manager_factory(y=y, s=s, target=0, e=e, r=0.050, n_emp=25,gamma=0, delta=0.0, j=j) def schur_weak_weak_ewa_r025_n50_s5_g000_long_manager(y, s, k=1,e=1, j=1): assert k==1 return schur_weak_weak_ewa_manager_factory(y=y, s=s, e=e, r=0.025, n_emp=50,gamma=0, delta=0.0, j=j) def schur_weak_weak_ewa_r050_n25_s5_g000_long_manager(y, s, k=1,e=1, j=1): assert k==1 return schur_weak_weak_ewa_manager_factory(y=y, s=s, e=e, r=0.05, n_emp=25,gamma=0, delta=0.0, j=j) #-# def schur_weak_vol_ewa_r050_n25_s5_g000_long_manager(y, s, k=1,e=1, j=1): assert k==1 return schur_weak_vol_ewa_manager_factory(y=y, s=s, e=e, r=0.05, n_emp=25, n_split=5,gamma=0, delta=0.0, j=j) def schur_vol_vol_ewa_r050_n25_s5_g000_long_manager(y, s, k=1,e=1, j=1): assert k==1 return schur_vol_vol_ewa_manager_factory(y=y, s=s, e=e, r=0.05, n_emp=25, n_split=5,gamma=0, delta=0.0, j=j) def schur_diag_diag_ewa_r050_n25_s5_g000_long_manager(y, s, k=1,e=1, j=1): assert k==1 return schur_diag_diag_ewa_manager_factory(y=y, s=s, e=e, r=0.05, n_emp=25, n_split=5,gamma=0, delta=0.0, j=j) def schur_diag_weak_pm_t0_r050_n25_s5_g000_long_manager(y, s, k=1,e=1, j=1): assert k==1 return schur_diag_weak_pm_manager_factory(y=y, s=s, e=e, r=0.05, target=0, n_emp=25, n_split=5,gamma=0, delta=0.0, j=j) SCHUR_GAMMA_000_LONG_MANAGERS = [schur_weak_weak_pm_t0_r025_n50_s5_g000_long_manager, schur_weak_weak_pm_t0_r050_n25_s5_g000_long_manager, schur_weak_weak_ewa_r025_n50_s5_g000_long_manager, schur_weak_weak_ewa_r050_n25_s5_g000_long_manager, schur_weak_vol_ewa_r050_n25_s5_g000_long_manager, schur_vol_vol_ewa_r050_n25_s5_g000_long_manager, schur_diag_diag_ewa_r050_n25_s5_g000_long_manager, schur_diag_weak_pm_t0_r050_n25_s5_g000_long_manager] SCHUR_J1_LONG_MANAGERS = SCHUR_GAMMA_100_LONG_MANAGERS + SCHUR_GAMMA_050_LONG_MANAGERS + SCHUR_GAMMA_010_LONG_MANAGERS + SCHUR_GAMMA_000_LONG_MANAGERS SCHUR_LS_MANAGERS = [] # Remark: Functions not defined at top level don't always play nice with multiprocessing if USE_JS: SCHUR_J5_LONG_MANAGERS = [ buy_and_hold(mgr,j=5) for mgr in SCHUR_J1_LONG_MANAGERS ] SCHUR_J20_LONG_MANAGERS = [ buy_and_hold(mgr,j=20) for mgr in SCHUR_J1_LONG_MANAGERS ] else: SCHUR_J5_LONG_MANAGERS = [] SCHUR_J20_LONG_MANAGERS = [] SCHUR_LONG_MANAGERS = SCHUR_J1_LONG_MANAGERS + SCHUR_J5_LONG_MANAGERS + SCHUR_J20_LONG_MANAGERS SCHUR_MANAGERS = SCHUR_LONG_MANAGERS + SCHUR_LS_MANAGERS

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07344d2471c05eac78b3615f9cd0f0e9c80c75cc

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py

Python

hardware/tests/test_sense_pi.py

ab7289/mercury-hardware

dc2a4e888184a32aaa1355a1fe9ec77a9cb15ebe

[ "MIT" ]

1

2020-05-09T21:37:12.000Z

hardware/tests/test_sense_pi.py

ab7289/mercury-hardware

dc2a4e888184a32aaa1355a1fe9ec77a9cb15ebe

[ "MIT" ]

8

2020-05-07T01:54:14.000Z

2020-05-13T21:31:56.000Z

hardware/tests/test_sense_pi.py

ab7289/mercury-hardware

dc2a4e888184a32aaa1355a1fe9ec77a9cb15ebe

[ "MIT" ]

2

2020-05-06T22:24:20.000Z

2020-05-13T20:32:29.000Z

import unittest from unittest.mock import patch, MagicMock from testfixtures import TempDirectory import os import sys sys.modules[ "sense_hat" ] = MagicMock() # mock these modules so that they don't have to be installed sys.modules["sense_emu"] = MagicMock() from hardware.SensorPi.sense_pi import SensePi # noqa : E402 from hardware.Utils.logger import Logger # noqa : E402 @patch("hardware.SensorPi.sense_pi.SenseHat") class SensePiTests(unittest.TestCase): def setUp(self): self.temp_dir = TempDirectory() def tearDown(self): self.temp_dir.cleanup() def test_init_no_logs_no_ids(self, mock_sense): mock_show_message = MagicMock() mock_clear = MagicMock() mock_sense.return_value.show_message = mock_show_message mock_sense.return_value.clear = mock_clear expected_sensor_ids = { "temperature": 1, "pressure": 2, "humidity": 3, "acceleration": 4, "orientation": 5, } expected_color = (87, 46, 140) with patch.dict( os.environ, {"SENSE_HAT_LOG_FILE": "logger.txt", "LOG_DIRECTORY": self.temp_dir.path}, ): sense = SensePi() mock_show_message.assert_called_with( "MERCURY", text_colour=expected_color, scroll_speed=0.04 ) mock_clear.assert_called() self.assertTrue(sense.logging is not None) self.assertTrue(sense.logging.name == "SENSE_HAT_LOG_FILE") self.assertIsInstance(sense.logging, Logger) self.assertDictEqual(sense.sensor_ids, expected_sensor_ids) def test_init_logs_ids(self, mock_sense): mock_show_message = MagicMock() mock_clear = MagicMock() mock_sense.return_value.show_message = mock_show_message mock_sense.return_value.clear = mock_clear expected_sensor_ids = { "temperature": 5, "pressure": 4, "humidity": 3, "acceleration": 2, "orientation": 1, } expected_color = (87, 46, 140) with patch.dict( os.environ, {"SENSE_LOG": "logger.txt", "LOG_DIRECTORY": self.temp_dir.path} ): sense = SensePi(log_file_name="SENSE_LOG", sensor_ids=expected_sensor_ids) mock_show_message.assert_called_with( "MERCURY", text_colour=expected_color, scroll_speed=0.04 ) mock_clear.assert_called() self.assertTrue(sense.logging is not None) self.assertTrue(sense.logging.name == "SENSE_LOG") self.assertIsInstance(sense.logging, Logger) self.assertDictEqual(sense.sensor_ids, expected_sensor_ids) def test_init_no_logs_ids(self, mock_sense): mock_show_message = MagicMock() mock_clear = MagicMock() mock_sense.return_value.show_message = mock_show_message mock_sense.return_value.clear = mock_clear expected_sensor_ids = { "temperature": 5, "pressure": 4, "humidity": 3, "acceleration": 2, "orientation": 1, } expected_color = (87, 46, 140) with patch.dict( os.environ, {"SENSE_HAT_LOG_FILE": "logger.txt", "LOG_DIRECTORY": self.temp_dir.path}, ): sense = SensePi(sensor_ids=expected_sensor_ids) mock_show_message.assert_called_with( "MERCURY", text_colour=expected_color, scroll_speed=0.04 ) mock_clear.assert_called() self.assertTrue(sense.logging is not None) self.assertTrue(sense.logging.name == "SENSE_HAT_LOG_FILE") self.assertIsInstance(sense.logging, Logger) self.assertDictEqual(sense.sensor_ids, expected_sensor_ids) def test_init_logs_no_ids(self, mock_sense): mock_show_message = MagicMock() mock_clear = MagicMock() mock_sense.return_value.show_message = mock_show_message mock_sense.return_value.clear = mock_clear expected_sensor_ids = { "temperature": 1, "pressure": 2, "humidity": 3, "acceleration": 4, "orientation": 5, } expected_color = (87, 46, 140) with patch.dict( os.environ, {"SENSE_LOG": "logger.txt", "LOG_DIRECTORY": self.temp_dir.path} ): sense = SensePi(log_file_name="SENSE_LOG") mock_show_message.assert_called_with( "MERCURY", text_colour=expected_color, scroll_speed=0.04 ) mock_clear.assert_called() self.assertTrue(sense.logging is not None) self.assertTrue(sense.logging.name == "SENSE_LOG") self.assertIsInstance(sense.logging, Logger) self.assertDictEqual(sense.sensor_ids, expected_sensor_ids) @patch("hardware.SensorPi.sense_pi.date_str_with_current_timezone") def test_factory_temp(self, mock_date, mock_sense): mock_show_message = MagicMock() mock_clear = MagicMock() mock_sense.return_value.show_message = mock_show_message mock_sense.return_value.clear = mock_clear mock_sense.return_value.get_temperature.return_value = "100" mock_sense.return_value.get_pressure.return_value = "50" mock_sense.return_value.get_humidity.return_value = "20" mock_sense.return_value.get_accelerometer_raw.return_value = "20" mock_sense.return_value.get_orientation.return_value = (1, 1, 1) date_str = "example_date" mock_date.return_value = date_str with patch.dict( os.environ, {"SENSE_HAT_LOG_FILE": "logger.txt", "LOG_DIRECTORY": self.temp_dir.path}, ): sense = SensePi() data = sense.factory("TEMPERATURE") expected_data = { "sensor_id": 1, "values": {"temperature": "100"}, "date": date_str, } self.assertDictEqual(expected_data, data) @patch("hardware.SensorPi.sense_pi.date_str_with_current_timezone") def test_factory_pressure(self, mock_date, mock_sense): mock_show_message = MagicMock() mock_clear = MagicMock() mock_sense.return_value.show_message = mock_show_message mock_sense.return_value.clear = mock_clear mock_sense.return_value.get_temperature.return_value = "100" mock_sense.return_value.get_pressure.return_value = "50" mock_sense.return_value.get_humidity.return_value = "20" mock_sense.return_value.get_accelerometer_raw.return_value = "20" mock_sense.return_value.get_orientation.return_value = (1, 1, 1) date_str = "example_date" mock_date.return_value = date_str with patch.dict( os.environ, {"SENSE_HAT_LOG_FILE": "logger.txt", "LOG_DIRECTORY": self.temp_dir.path}, ): sense = SensePi() data = sense.factory("PRESSURE") expected_data = { "sensor_id": 2, "values": {"pressure": "50"}, "date": date_str, } self.assertDictEqual(expected_data, data) @patch("hardware.SensorPi.sense_pi.date_str_with_current_timezone") def test_factory_humidity(self, mock_date, mock_sense): mock_show_message = MagicMock() mock_clear = MagicMock() mock_sense.return_value.show_message = mock_show_message mock_sense.return_value.clear = mock_clear mock_sense.return_value.get_temperature.return_value = "100" mock_sense.return_value.get_pressure.return_value = "50" mock_sense.return_value.get_humidity.return_value = "20" mock_sense.return_value.get_accelerometer_raw.return_value = "20" mock_sense.return_value.get_orientation.return_value = (1, 1, 1) date_str = "example_date" mock_date.return_value = date_str with patch.dict( os.environ, {"SENSE_HAT_LOG_FILE": "logger.txt", "LOG_DIRECTORY": self.temp_dir.path}, ): sense = SensePi() data = sense.factory("HUMIDITY") expected_data = { "sensor_id": 3, "values": {"humidity": "20"}, "date": date_str, } self.assertDictEqual(expected_data, data) @patch("hardware.SensorPi.sense_pi.date_str_with_current_timezone") def test_factory_accel(self, mock_date, mock_sense): mock_show_message = MagicMock() mock_clear = MagicMock() mock_sense.return_value.show_message = mock_show_message mock_sense.return_value.clear = mock_clear mock_sense.return_value.get_temperature.return_value = "100" mock_sense.return_value.get_pressure.return_value = "50" mock_sense.return_value.get_humidity.return_value = "20" mock_sense.return_value.get_accelerometer_raw.return_value = "20" mock_sense.return_value.get_orientation.return_value = (1, 1, 1) date_str = "example_date" mock_date.return_value = date_str with patch.dict( os.environ, {"SENSE_HAT_LOG_FILE": "logger.txt", "LOG_DIRECTORY": self.temp_dir.path}, ): sense = SensePi() data = sense.factory("ACCELERATION") expected_data = { "sensor_id": 4, "values": {"acceleration": "20"}, "date": date_str, } self.assertDictEqual(expected_data, data) @patch("hardware.SensorPi.sense_pi.date_str_with_current_timezone") def test_factory_orientation(self, mock_date, mock_sense): mock_show_message = MagicMock() mock_clear = MagicMock() mock_sense.return_value.show_message = mock_show_message mock_sense.return_value.clear = mock_clear mock_sense.return_value.get_temperature.return_value = "100" mock_sense.return_value.get_pressure.return_value = "50" mock_sense.return_value.get_humidity.return_value = "20" mock_sense.return_value.get_accelerometer_raw.return_value = "20" mock_sense.return_value.get_orientation.return_value = (1, 1, 1) date_str = "example_date" mock_date.return_value = date_str with patch.dict( os.environ, {"SENSE_HAT_LOG_FILE": "logger.txt", "LOG_DIRECTORY": self.temp_dir.path}, ): sense = SensePi() data = sense.factory("ORIENTATION") expected_data = { "sensor_id": 5, "values": {"orientation": (1, 1, 1)}, "date": date_str, } self.assertDictEqual(expected_data, data) @patch("hardware.SensorPi.sense_pi.date_str_with_current_timezone") def test_factory_invalid_key(self, mock_date, mock_sense): mock_show_message = MagicMock() mock_clear = MagicMock() mock_sense.return_value.show_message = mock_show_message mock_sense.return_value.clear = mock_clear date_str = "example_date" mock_date.return_value = date_str with patch.dict( os.environ, {"SENSE_HAT_LOG_FILE": "logger.txt", "LOG_DIRECTORY": self.temp_dir.path}, ): sense = SensePi() data = sense.factory("SOME_KEY") expected_data = {} self.assertDictEqual(expected_data, data) @patch("hardware.SensorPi.sense_pi.date_str_with_current_timezone") def test_factory_all(self, mock_date, mock_sense): mock_show_message = MagicMock() mock_clear = MagicMock() mock_sense.return_value.show_message = mock_show_message mock_sense.return_value.clear = mock_clear mock_sense.return_value.get_temperature.return_value = "100" mock_sense.return_value.get_pressure.return_value = "50" mock_sense.return_value.get_humidity.return_value = "20" mock_sense.return_value.get_accelerometer_raw.return_value = "20" mock_sense.return_value.get_orientation.return_value = (1, 1, 1) date_str = "example_date" mock_date.return_value = date_str with patch.dict( os.environ, {"SENSE_HAT_LOG_FILE": "logger.txt", "LOG_DIRECTORY": self.temp_dir.path}, ): sense = SensePi() data = sense.factory("ALL") expected_data = { "values": { "temperature": "100", "pressure": "50", "humidity": "20", "acceleration": "20", "orientation": (1, 1, 1), }, "date": date_str, } self.assertDictEqual(expected_data, data) @patch("hardware.SensorPi.sense_pi.date_str_with_current_timezone") def test_sense_get_all(self, mock_date, mock_sense): mock_show_message = MagicMock() mock_clear = MagicMock() mock_sense.return_value.show_message = mock_show_message mock_sense.return_value.clear = mock_clear mock_sense.return_value.get_temperature.return_value = "100" mock_sense.return_value.get_pressure.return_value = "50" mock_sense.return_value.get_humidity.return_value = "20" mock_sense.return_value.get_accelerometer_raw.return_value = "20" mock_sense.return_value.get_orientation.return_value = (1, 1, 1) date_str = "example_date" mock_date.return_value = date_str with patch.dict( os.environ, {"SENSE_HAT_LOG_FILE": "logger.txt", "LOG_DIRECTORY": self.temp_dir.path}, ): sense = SensePi() data = sense.get_all() expected_data = { "values": { "temperature": "100", "pressure": "50", "humidity": "20", "acceleration": "20", "orientation": (1, 1, 1), }, "date": date_str, } self.assertDictEqual(expected_data, data) @patch("hardware.SensorPi.sense_pi.date_str_with_current_timezone") def test_sense_get_temp(self, mock_date, mock_sense): mock_show_message = MagicMock() mock_clear = MagicMock() mock_sense.return_value.show_message = mock_show_message mock_sense.return_value.clear = mock_clear mock_sense.return_value.get_temperature.return_value = "100" mock_sense.return_value.get_pressure.return_value = "50" mock_sense.return_value.get_humidity.return_value = "20" mock_sense.return_value.get_accelerometer_raw.return_value = "20" mock_sense.return_value.get_orientation.return_value = (1, 1, 1) date_str = "example_date" mock_date.return_value = date_str with patch.dict( os.environ, {"SENSE_HAT_LOG_FILE": "logger.txt", "LOG_DIRECTORY": self.temp_dir.path}, ): sense = SensePi() data = sense.get_temperature() expected_data = { "sensor_id": 1, "values": {"temperature": "100"}, "date": date_str, } self.assertDictEqual(expected_data, data) @patch("hardware.SensorPi.sense_pi.date_str_with_current_timezone") def test_sense_get_pressure(self, mock_date, mock_sense): mock_show_message = MagicMock() mock_clear = MagicMock() mock_sense.return_value.show_message = mock_show_message mock_sense.return_value.clear = mock_clear mock_sense.return_value.get_temperature.return_value = "100" mock_sense.return_value.get_pressure.return_value = "50" mock_sense.return_value.get_humidity.return_value = "20" mock_sense.return_value.get_accelerometer_raw.return_value = "20" mock_sense.return_value.get_orientation.return_value = (1, 1, 1) date_str = "example_date" mock_date.return_value = date_str with patch.dict( os.environ, {"SENSE_HAT_LOG_FILE": "logger.txt", "LOG_DIRECTORY": self.temp_dir.path}, ): sense = SensePi() data = sense.get_pressure() expected_data = { "sensor_id": 2, "values": {"pressure": "50"}, "date": date_str, } self.assertDictEqual(expected_data, data) @patch("hardware.SensorPi.sense_pi.date_str_with_current_timezone") def test_sense_get_humidity(self, mock_date, mock_sense): mock_show_message = MagicMock() mock_clear = MagicMock() mock_sense.return_value.show_message = mock_show_message mock_sense.return_value.clear = mock_clear mock_sense.return_value.get_temperature.return_value = "100" mock_sense.return_value.get_pressure.return_value = "50" mock_sense.return_value.get_humidity.return_value = "20" mock_sense.return_value.get_accelerometer_raw.return_value = "20" mock_sense.return_value.get_orientation.return_value = (1, 1, 1) date_str = "example_date" mock_date.return_value = date_str with patch.dict( os.environ, {"SENSE_HAT_LOG_FILE": "logger.txt", "LOG_DIRECTORY": self.temp_dir.path}, ): sense = SensePi() data = sense.get_humidity() expected_data = { "sensor_id": 3, "values": {"humidity": "20"}, "date": date_str, } self.assertDictEqual(expected_data, data) @patch("hardware.SensorPi.sense_pi.date_str_with_current_timezone") def test_sense_get_accel(self, mock_date, mock_sense): mock_show_message = MagicMock() mock_clear = MagicMock() mock_sense.return_value.show_message = mock_show_message mock_sense.return_value.clear = mock_clear mock_sense.return_value.get_temperature.return_value = "100" mock_sense.return_value.get_pressure.return_value = "50" mock_sense.return_value.get_humidity.return_value = "20" mock_sense.return_value.get_accelerometer_raw.return_value = "20" mock_sense.return_value.get_orientation.return_value = (1, 1, 1) date_str = "example_date" mock_date.return_value = date_str with patch.dict( os.environ, {"SENSE_HAT_LOG_FILE": "logger.txt", "LOG_DIRECTORY": self.temp_dir.path}, ): sense = SensePi() data = sense.get_acceleration() expected_data = { "sensor_id": 4, "values": {"acceleration": "20"}, "date": date_str, } self.assertDictEqual(expected_data, data) @patch("hardware.SensorPi.sense_pi.date_str_with_current_timezone") def test_sense_get_orientation(self, mock_date, mock_sense): mock_show_message = MagicMock() mock_clear = MagicMock() mock_sense.return_value.show_message = mock_show_message mock_sense.return_value.clear = mock_clear mock_sense.return_value.get_temperature.return_value = "100" mock_sense.return_value.get_pressure.return_value = "50" mock_sense.return_value.get_humidity.return_value = "20" mock_sense.return_value.get_accelerometer_raw.return_value = "20" mock_sense.return_value.get_orientation.return_value = (1, 1, 1) date_str = "example_date" mock_date.return_value = date_str with patch.dict( os.environ, {"SENSE_HAT_LOG_FILE": "logger.txt", "LOG_DIRECTORY": self.temp_dir.path}, ): sense = SensePi() data = sense.get_orientation() expected_data = { "sensor_id": 5, "values": {"orientation": (1, 1, 1)}, "date": date_str, } self.assertDictEqual(expected_data, data) if __name__ == "__main__": unittest.main()

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074a2f623048b42ea55b6f1c6854e3e2249783e5

3,342

py

Python

noise/simple_signal_regression_limited_noise/fitness_data_reg_limit_5s/fitness_trend.py

FraLotito/evol-signal-comm

fd06bdad06200a65a8910e8401f0de7632be3cf0

[ "BSD-3-Clause" ]

4

2021-07-14T11:16:44.000Z

2022-03-11T12:50:47.000Z

simple_signal/simple_signal_regression_limited/fitness_data_reg_limit_5s/fitness_trend.py

FraLotito/evol-signal-comm

fd06bdad06200a65a8910e8401f0de7632be3cf0

[ "BSD-3-Clause" ]

null

simple_signal/simple_signal_regression_limited/fitness_data_reg_limit_5s/fitness_trend.py

FraLotito/evol-signal-comm

fd06bdad06200a65a8910e8401f0de7632be3cf0

[ "BSD-3-Clause" ]

null

import graphviz import matplotlib.pyplot as plt import numpy as np NUMBER_OF_GENERATIONS = 200 f = open("sender.mean", 'r') stats = f.readlines() f.close() gen = range(NUMBER_OF_GENERATIONS) gen_stats = [] for i in gen: gen_stats.append([]) for run in stats: run = list(map(float, run.split())) run = run[:NUMBER_OF_GENERATIONS] for i in range(len(run)): gen_stats[i].append(run[i]) mean_gen = [] stddev_gen = [] for i in range(len(gen_stats)): mean_gen.append(np.mean(gen_stats[i])) stddev_gen.append(np.std(gen_stats[i])) f = open("sender.best", 'r') stats = f.readlines() f.close() gen = range(NUMBER_OF_GENERATIONS) gen_stats = [] for i in gen: gen_stats.append([]) for run in stats: run = list(map(float, run.split())) run = run[:NUMBER_OF_GENERATIONS] for i in range(len(run)): gen_stats[i].append(run[i]) mean_best_gen = [] stddev_best_gen = [] for i in range(len(gen_stats)): mean_best_gen.append(np.mean(gen_stats[i])) stddev_best_gen.append(np.std(gen_stats[i])) plt.plot(gen, mean_best_gen, color='green', label='best pair avg') plt.fill_between(gen, [a_i - b_i for a_i, b_i in zip(mean_best_gen, stddev_best_gen)], [a_i + b_i for a_i, b_i in zip(mean_best_gen, stddev_best_gen)], alpha=0.35, color='green') plt.plot(gen, mean_gen, color='red', label='senders population avg') plt.fill_between(gen, [a_i - b_i for a_i, b_i in zip(mean_gen, stddev_gen)], [a_i + b_i for a_i, b_i in zip(mean_gen, stddev_gen)], alpha=0.35, color='red') #plt.errorbar(gen, mean_best_gen, yerr=stddev_best_gen, label="best genome", fmt='.', capsize=2, barsabove=True, errorevery=2) #plt.errorbar(gen, mean_gen, yerr=stddev_gen, label="snd population's avg", fmt='.', capsize=2, barsabove=True, errorevery=2) f = open("receiver.mean", 'r') stats = f.readlines() f.close() gen = range(NUMBER_OF_GENERATIONS) gen_stats = [] for i in gen: gen_stats.append([]) for run in stats: run = list(map(float, run.split())) run = run[:NUMBER_OF_GENERATIONS] for i in range(len(run)): gen_stats[i].append(run[i]) mean_gen = [] stddev_gen = [] for i in range(len(gen_stats)): mean_gen.append(np.mean(gen_stats[i])) stddev_gen.append(np.std(gen_stats[i])) f = open("receiver.best", 'r') stats = f.readlines() f.close() gen = range(NUMBER_OF_GENERATIONS) gen_stats = [] for i in gen: gen_stats.append([]) for run in stats: run = list(map(float, run.split())) run = run[:NUMBER_OF_GENERATIONS] for i in range(len(run)): gen_stats[i].append(run[i]) mean_best_gen = [] stddev_best_gen = [] for i in range(len(gen_stats)): mean_best_gen.append(np.mean(gen_stats[i])) stddev_best_gen.append(np.std(gen_stats[i])) plt.plot(gen, mean_gen, color='blue', label='receivers population avg') plt.fill_between(gen, [a_i - b_i for a_i, b_i in zip(mean_gen, stddev_gen)], [a_i + b_i for a_i, b_i in zip(mean_gen, stddev_gen)], alpha=0.35, color='blue') #plt.errorbar(gen, mean_gen, yerr=stddev_gen, label="rcv population's avg", fmt='.', capsize=2, barsabove=True, errorevery=2) plt.xlabel("Generations") plt.xticks(range(NUMBER_OF_GENERATIONS + 1)) plt.ylabel("Populations' avg & best pair fitness") locs, labs = plt.xticks() plt.xticks(locs[::25]) plt.legend(loc="best") plt.savefig('fitness_data_reg_limit_5s.pdf') plt.show()

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4af2c49e953080fe8fbb31d15698f98b266a333a

172

py

Python

example/__init__.py

FebruaryBreeze/yaml-to-object

d91206810b4828533c6d78e130cd1e20025019c7

[ "MIT" ]

3

2019-02-21T06:39:15.000Z

2019-05-14T08:39:53.000Z

example/__init__.py

FebruaryBreeze/yaml-to-object

d91206810b4828533c6d78e130cd1e20025019c7

[ "MIT" ]

null

example/__init__.py

FebruaryBreeze/yaml-to-object

d91206810b4828533c6d78e130cd1e20025019c7

[ "MIT" ]

null

from pathlib import Path import yaml_to_object if yaml_to_object.generate(Path(__file__).parent / 'example.yml', suffix='config'): from .build import * # noqa: F403

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7

ab0ea5dbddc030e88f2055a27f2aa7912907a8b0

3,903

py

Python

tests/data/hash/test_hash.py

zaibon/js-ng

8b63c04757d1432ed4aa588500a113610701de14

[ "Apache-2.0" ]

2

2021-04-28T10:46:08.000Z

2021-12-22T12:33:34.000Z

tests/data/hash/test_hash.py

zaibon/js-ng

8b63c04757d1432ed4aa588500a113610701de14

[ "Apache-2.0" ]

321

2020-06-15T11:48:21.000Z

2022-03-29T22:13:33.000Z

tests/data/hash/test_hash.py

zaibon/js-ng

8b63c04757d1432ed4aa588500a113610701de14

[ "Apache-2.0" ]

4

2020-06-18T06:19:29.000Z

2021-07-14T12:54:47.000Z

# coding: utf-8 import hashlib import pytest import os import tempfile from jumpscale.loader import j @pytest.fixture def make_list(): hashes_list = [ "md5", "sha1", "sha224", "sha256", "sha384", "sha512", "sha3_224", "sha3_256", "sha3_384", "sha3_512", "blake2s", "blake2b", ] return hashes_list def test_hash_strings(): test_string = "my company is codescalers" assert j.data.hash.md5(test_string) == hashlib.md5(test_string.encode()).hexdigest() assert j.data.hash.sha1(test_string) == hashlib.sha1(test_string.encode()).hexdigest() assert j.data.hash.sha224(test_string) == hashlib.sha224(test_string.encode()).hexdigest() assert j.data.hash.sha256(test_string) == hashlib.sha256(test_string.encode()).hexdigest() assert j.data.hash.sha384(test_string) == hashlib.sha384(test_string.encode()).hexdigest() assert j.data.hash.sha512(test_string) == hashlib.sha512(test_string.encode()).hexdigest() assert j.data.hash.sha3_224(test_string) == hashlib.sha3_224(test_string.encode()).hexdigest() assert j.data.hash.sha3_256(test_string) == hashlib.sha3_256(test_string.encode()).hexdigest() assert j.data.hash.sha3_384(test_string) == hashlib.sha3_384(test_string.encode()).hexdigest() assert j.data.hash.sha3_512(test_string) == hashlib.sha3_512(test_string.encode()).hexdigest() assert j.data.hash.blake2b(test_string) == hashlib.blake2b(test_string.encode()).hexdigest() assert j.data.hash.blake2s(test_string) == hashlib.blake2s(test_string.encode()).hexdigest() assert j.data.hash.shake_128(test_string) == hashlib.shake_128(test_string.encode()).hexdigest(16) assert j.data.hash.shake_256(test_string) == hashlib.shake_256(test_string.encode()).hexdigest(16) def test_hash_bytes(): test_string = b"hi there" assert j.data.hash.md5(test_string) == hashlib.md5(test_string).hexdigest() assert j.data.hash.sha1(test_string) == hashlib.sha1(test_string).hexdigest() assert j.data.hash.sha224(test_string) == hashlib.sha224(test_string).hexdigest() assert j.data.hash.sha256(test_string) == hashlib.sha256(test_string).hexdigest() assert j.data.hash.sha384(test_string) == hashlib.sha384(test_string).hexdigest() assert j.data.hash.sha512(test_string) == hashlib.sha512(test_string).hexdigest() assert j.data.hash.sha3_224(test_string) == hashlib.sha3_224(test_string).hexdigest() assert j.data.hash.sha3_256(test_string) == hashlib.sha3_256(test_string).hexdigest() assert j.data.hash.sha3_384(test_string) == hashlib.sha3_384(test_string).hexdigest() assert j.data.hash.sha3_512(test_string) == hashlib.sha3_512(test_string).hexdigest() assert j.data.hash.blake2b(test_string) == hashlib.blake2b(test_string).hexdigest() assert j.data.hash.blake2s(test_string) == hashlib.blake2s(test_string).hexdigest() assert j.data.hash.shake_128(test_string) == hashlib.shake_128(test_string).hexdigest(16) assert j.data.hash.shake_256(test_string) == hashlib.shake_256(test_string).hexdigest(16) def test_hash_files(make_list): with tempfile.NamedTemporaryFile("w") as tf: tf.write("Your text goes here") tf.flush() for h in make_list: ha = hashlib.new(h) ha.update("Your text goes here".encode(tf.encoding)) assert j.data.hash.hash_file(tf.name, h).hexdigest() == ha.hexdigest() def test_hash_dir(make_list): dir_path = tempfile.mkdtemp() with tempfile.NamedTemporaryFile("w", dir=dir_path) as tf: tf.write("عربى english") tf.flush() for h in make_list: ha = hashlib.new(h) ha.update("عربى english".encode()) base_hexdigest = ha.hexdigest() for value in j.data.hash.hash_directory(dir_path, h).values(): assert value == base_hexdigest

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0

1

0

8

ab54c644a3cce8562ca8b7ea333b5f24ab4a3726

47,121

py

Python

TEST3D/GUI/0010003_page_micro/junk.py

usnistgov/OOF3D

4fd423a48aea9c5dc207520f02de53ae184be74c

[ "X11" ]

31

2015-04-01T15:59:36.000Z

2022-03-18T20:21:47.000Z

TEST3D/GUI/0010003_page_micro/junk.py

usnistgov/OOF3D

4fd423a48aea9c5dc207520f02de53ae184be74c

[ "X11" ]

3

2015-02-06T19:30:24.000Z

2017-05-25T14:14:31.000Z

TEST3D/GUI/0010003_page_micro/junk.py

usnistgov/OOF3D

4fd423a48aea9c5dc207520f02de53ae184be74c

[ "X11" ]

7

2015-01-23T15:19:22.000Z

2021-06-09T09:03:59.000Z

# -*- python -*- # This software was produced by NIST, an agency of the U.S. government, # and by statute is not subject to copyright in the United States. # Recipients of this software assume all responsibilities associated # with its operation, modification and maintenance. However, to # facilitate maintenance we ask that before distributing modified # versions of this software, you first contact the authors at # oof_manager@nist.gov. # We test how voxels selection groups are handled in a microstructure. # Meaning what is the difference between Remove and Clear but also how can we provide some selections: # graphicaly or by the Voxel Selection Page using a specific mehtod. # This test is mainly directed to the way that the selections are handle through the voxels group. import tests findWidget('OOF3D').resize(550, 350) setComboBox(findWidget('OOF3D:Navigation:PageMenu'), 'Microstructure') checkpoint page installed Microstructure findWidget('OOF3D:Microstructure Page:Pane').set_position(225) # create a microstructure with loaded files findWidget('OOF3D:Microstructure Page:NewFromFile').clicked() checkpoint toplevel widget mapped Dialog-Load Image and create Microstructure findWidget('Dialog-Load Image and create Microstructure').resize(401, 215) findWidget('Dialog-Load Image and create Microstructure:filenames:Entire Directory:directory').set_text('.') findWidget('Dialog-Load Image and create Microstructure:filenames:Entire Directory:directory').set_text('..') findWidget('Dialog-Load Image and create Microstructure:filenames:Entire Directory:directory').set_text('../') findWidget('Dialog-Load Image and create Microstructure:filenames:Entire Directory:directory').set_text('../.') findWidget('Dialog-Load Image and create Microstructure:filenames:Entire Directory:directory').set_text('../..') findWidget('Dialog-Load Image and create Microstructure:filenames:Entire Directory:directory').set_text('../../') findWidget('Dialog-Load Image and create Microstructure:filenames:Entire Directory:directory').set_text('../../3') findWidget('Dialog-Load Image and create Microstructure:filenames:Entire Directory:directory').set_text('../../3D') findWidget('Dialog-Load Image and create Microstructure:filenames:Entire Directory:directory').set_text('../../3DS') findWidget('Dialog-Load Image and create Microstructure:filenames:Entire Directory:directory').set_text('../../3DSa') findWidget('Dialog-Load Image and create Microstructure:filenames:Entire Directory:directory').set_text('../../3DSan') findWidget('Dialog-Load Image and create Microstructure:filenames:Entire Directory:directory').set_text('../../3DSand') findWidget('Dialog-Load Image and create Microstructure:filenames:Entire Directory:directory').set_text('../../3DSandb') findWidget('Dialog-Load Image and create Microstructure:filenames:Entire Directory:directory').set_text('../../3DSandbo') findWidget('Dialog-Load Image and create Microstructure:filenames:Entire Directory:directory').set_text('../../3DSandbox') findWidget('Dialog-Load Image and create Microstructure:filenames:Entire Directory:directory').set_text('../../3DSandbox/') findWidget('Dialog-Load Image and create Microstructure:filenames:Entire Directory:directory').set_text('../../3DSandbox/5') findWidget('Dialog-Load Image and create Microstructure:filenames:Entire Directory:directory').set_text('../../3DSandbox/5c') findWidget('Dialog-Load Image and create Microstructure:filenames:Entire Directory:directory').set_text('../../3DSandbox/5co') findWidget('Dialog-Load Image and create Microstructure:filenames:Entire Directory:directory').set_text('../../3DSandbox/5col') findWidget('Dialog-Load Image and create Microstructure:filenames:Entire Directory:directory').set_text('../../3DSandbox/5colo') findWidget('Dialog-Load Image and create Microstructure:filenames:Entire Directory:directory').set_text('../../3DSandbox/5color') findWidget('Dialog-Load Image and create Microstructure:microstructure_name:Auto').clicked() findWidget('Dialog-Load Image and create Microstructure:microstructure_name:Text').set_text('m') findWidget('Dialog-Load Image and create Microstructure:microstructure_name:Text').set_text('mi') findWidget('Dialog-Load Image and create Microstructure:microstructure_name:Text').set_text('mic') findWidget('Dialog-Load Image and create Microstructure:microstructure_name:Text').set_text('micr') findWidget('Dialog-Load Image and create Microstructure:microstructure_name:Text').set_text('micro') findWidget('Dialog-Load Image and create Microstructure:gtk-ok').clicked() findWidget('OOF3D Messages 1').resize(603, 200) findWidget('OOF3D:Microstructure Page:Pane').set_position(159) checkpoint meshable button set checkpoint meshable button set checkpoint microstructure page sensitized checkpoint active area status updated checkpoint pixel page updated checkpoint mesh bdy page updated checkpoint microstructure page sensitized checkpoint Field page sensitized checkpoint meshable button set checkpoint Materials page updated checkpoint mesh page subproblems sensitized checkpoint mesh page subproblems sensitized checkpoint mesh page sensitized checkpoint mesh page subproblems sensitized checkpoint mesh page sensitized checkpoint mesh page subproblems sensitized checkpoint boundary page updated checkpoint skeleton selection page selection sensitized checkpoint skeleton selection page updated checkpoint skeleton selection page groups sensitized checkpoint skeleton selection page groups sensitized checkpoint microstructure page sensitized checkpoint OOF.Microstructure.Create_From_ImageFile # check that the new group button is sensitized assert tests.sensitization1() # open a graphics window findMenu(findWidget('OOF3D:MenuBar'), 'Windows:Graphics:New').activate() checkpoint Move Node toolbox info updated findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2').size_allocate(gtk.gdk.Rectangle(0, 29, 1000, 705)) findWidget('OOF3D Graphics 1:Pane0:Pane1').size_allocate(gtk.gdk.Rectangle(0, 29, 1000, 705)) findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2').size_allocate(gtk.gdk.Rectangle(0, 29, 1000, 705)) findWidget('OOF3D Graphics 1:Pane0:Pane1').size_allocate(gtk.gdk.Rectangle(0, 29, 1000, 705)) checkpoint toplevel widget mapped OOF3D Graphics 1 findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2').size_allocate(gtk.gdk.Rectangle(0, 29, 1000, 705)) findWidget('OOF3D Graphics 1:Pane0:Pane1').size_allocate(gtk.gdk.Rectangle(0, 29, 1000, 705)) findWidget('OOF3D Graphics 1').resize(1000, 800) checkpoint OOF.Windows.Graphics.New findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2').size_allocate(gtk.gdk.Rectangle(0, 29, 1000, 705)) findWidget('OOF3D Graphics 1:Pane0:Pane1').size_allocate(gtk.gdk.Rectangle(0, 29, 1000, 705)) findWidget('OOF3D Graphics 1').resize(1000, 800) findWidget('OOF3D').resize(550, 350) findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2').size_allocate(gtk.gdk.Rectangle(0, 29, 1000, 705)) findWidget('OOF3D Graphics 1:Pane0:Pane1').size_allocate(gtk.gdk.Rectangle(0, 29, 1000, 705)) # do some voxels selection setComboBox(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:TBChooser'), 'Voxel Selection') findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2').size_allocate(gtk.gdk.Rectangle(0, 29, 1000, 705)) findWidget('OOF3D Graphics 1:Pane0:Pane1').size_allocate(gtk.gdk.Rectangle(0, 29, 1000, 705)) canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 2.8490000000000e+02,y= 2.56900000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 2.84900000000000e+02,y= 2.56900000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) checkpoint microstructure page sensitized checkpoint pixel page updated checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 3.2100000000000e+02,y= 2.4900000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 3.2100000000000e+02,y= 2.4900000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) checkpoint microstructure page sensitized checkpoint pixel page updated checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 3.4000000000000e+02,y= 2.4300000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 3.4000000000000e+02,y= 2.4300000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 3.7900000000000e+02,y= 2.4600000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 3.7900000000000e+02,y= 2.4600000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 3.5900000000000e+02,y= 2.4500000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 3.5900000000000e+02,y= 2.4500000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 2.7700000000000e+02,y= 2.7000000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 2.7700000000000e+02,y= 2.7000000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 2.8300000000000e+02,y= 2.9600000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 2.8300000000000e+02,y= 2.9600000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 3.0700000000000e+02,y= 3.1400000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 3.0700000000000e+02,y= 3.1400000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 3.3100000000000e+02,y= 3.3900000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 3.3100000000000e+02,y= 3.3900000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 3.8800000000000e+02,y= 2.6600000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 3.8800000000000e+02,y= 2.6600000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 3.8200000000000e+02,y= 2.9600000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 3.8200000000000e+02,y= 2.9600000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 3.6400000000000e+02,y= 3.2100000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 3.6400000000000e+02,y= 3.2100000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 3.0600000000000e+02,y= 3.7000000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 3.0600000000000e+02,y= 3.7000000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 3.6200000000000e+02,y= 3.7200000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 3.6200000000000e+02,y= 3.7200000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 2.8300000000000e+02,y= 3.9600000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 2.8300000000000e+02,y= 3.9600000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 2.8000000000000e+02,y= 4.2400000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 2.8000000000000e+02,y= 4.2400000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 2.8200000000000e+02,y= 4.5400000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 2.8200000000000e+02,y= 4.5400000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 3.0600000000000e+02,y= 4.5400000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 3.0600000000000e+02,y= 4.5400000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 3.3600000000000e+02,y= 4.5100000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 3.3600000000000e+02,y= 4.5100000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 3.6800000000000e+02,y= 4.4900000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 3.6800000000000e+02,y= 4.4900000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 3.8800000000000e+02,y= 4.4900000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 3.8800000000000e+02,y= 4.4900000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 3.8600000000000e+02,y= 3.9500000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 3.8600000000000e+02,y= 3.9500000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 3.8600000000000e+02,y= 4.2700000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 3.8600000000000e+02,y= 4.2700000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # # create a voxels group # findWidget('OOF3D:Microstructure Page:Pane:VoxelGroups:New').clicked() # checkpoint toplevel widget mapped Dialog-Create new voxel group # findWidget('Dialog-Create new voxel group').resize(246, 67) # findWidget('Dialog-Create new voxel group:gtk-ok').clicked() # findWidget('OOF3D:Microstructure Page:Pane').set_position(225) # checkpoint meshable button set # checkpoint meshable button set # checkpoint microstructure page sensitized # checkpoint skeleton selection page groups sensitized # checkpoint OOF.PixelGroup.New # checkpoint microstructure page sensitized # checkpoint meshable button set # # A group has been created in micro, but no voxels have been added # assert tests.sensitization3() # assert tests.meshableCheck(1) # assert tests.voxelGroupListCheck('pixelgroup (0 voxels, meshable)') # assert tests.selectedGroupCheck('pixelgroup (0 voxels, meshable)') # # create another voxels group # findWidget('OOF3D:Microstructure Page:Pane:VoxelGroups:New').clicked() # checkpoint toplevel widget mapped Dialog-Create new voxel group # findWidget('Dialog-Create new voxel group').resize(246, 67) # findWidget('Dialog-Create new voxel group:gtk-ok').clicked() # checkpoint meshable button set # checkpoint meshable button set # checkpoint microstructure page sensitized # checkpoint skeleton selection page groups sensitized # checkpoint OOF.PixelGroup.New # # another group has been created but still no added voxels # assert tests.meshableCheck(1) # assert tests.voxelGroupListCheck('pixelgroup (0 voxels, meshable)', 'pixelgroup<2> (0 voxels, meshable)') # assert tests.selectedGroupCheck('pixelgroup<2> (0 voxels, meshable)') # # select the first created voxels group # findWidget('OOF3D:Microstructure Page:Pane:VoxelGroups:GroupListScroll:GroupList').get_selection().select_path((0,)) # checkpoint microstructure page sensitized # checkpoint meshable button set # # add the voxel selection the first create voxels group # findWidget('OOF3D:Microstructure Page:Pane:VoxelGroups:Add').clicked() # checkpoint meshable button set # checkpoint meshable button set # checkpoint microstructure page sensitized # checkpoint OOF.PixelGroup.AddSelection # # do some more voxels selection # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 4.0600000000000e+02,y= 3.2500000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 4.0600000000000e+02,y= 3.2500000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 4.3300000000000e+02,y= 3.5000000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 4.3300000000000e+02,y= 3.5000000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 4.0800000000000e+02,y= 3.7800000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 4.0800000000000e+02,y= 3.7800000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 4.5900000000000e+02,y= 3.7700000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 4.5900000000000e+02,y= 3.7700000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 4.6200000000000e+02,y= 3.2400000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 4.6200000000000e+02,y= 3.2400000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 4.8600000000000e+02,y= 3.0900000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 4.8600000000000e+02,y= 3.0900000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:TBScroll:Voxel Selection:Undo').clicked() # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Undo # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 4.8000000000000e+02,y= 3.0100000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 4.8000000000000e+02,y= 3.0100000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 5.1600000000000e+02,y= 2.9200000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 5.1600000000000e+02,y= 2.9200000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 4.8900000000000e+02,y= 3.9300000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 4.8900000000000e+02,y= 3.9300000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 5.1300000000000e+02,y= 3.9500000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 5.1300000000000e+02,y= 3.9500000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 5.3600000000000e+02,y= 3.9700000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 5.3600000000000e+02,y= 3.9700000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 5.3500000000000e+02,y= 2.9400000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 5.3500000000000e+02,y= 2.9400000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 5.4400000000000e+02,y= 3.1700000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 5.4400000000000e+02,y= 3.1700000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 5.4200000000000e+02,y= 3.4900000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 5.4200000000000e+02,y= 3.4900000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 5.4000000000000e+02,y= 3.7400000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 5.4000000000000e+02,y= 3.7400000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 2.5700000000000e+02,y= 3.2200000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 2.5700000000000e+02,y= 3.2200000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 2.2000000000000e+02,y= 3.4300000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 2.2000000000000e+02,y= 3.4300000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 2.5000000000000e+02,y= 3.7700000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 2.5000000000000e+02,y= 3.7700000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 2.0200000000000e+02,y= 3.6900000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 2.0200000000000e+02,y= 3.6900000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 1.9800000000000e+02,y= 3.2100000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 1.9800000000000e+02,y= 3.2100000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 1.7300000000000e+02,y= 2.9900000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 1.7300000000000e+02,y= 2.9900000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 1.8100000000000e+02,y= 3.9400000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 1.8100000000000e+02,y= 3.9400000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 1.5400000000000e+02,y= 4.0000000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 1.5400000000000e+02,y= 4.0000000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 1.2600000000000e+02,y= 3.9900000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 1.2600000000000e+02,y= 3.9900000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 1.5300000000000e+02,y= 2.9400000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 1.5300000000000e+02,y= 2.9400000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 1.2200000000000e+02,y= 2.9500000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 1.2200000000000e+02,y= 2.9500000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 1.2400000000000e+02,y= 3.7600000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 1.2400000000000e+02,y= 3.7600000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 1.2300000000000e+02,y= 3.4200000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 1.2300000000000e+02,y= 3.4200000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_PRESS,x= 1.2400000000000e+02,y= 3.1800000000000e+02,button=1,state=17,window=findCanvasGdkWindow('Graphics_1'))) # canvasobj = findCanvasDrawingArea(findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:Canvas'), windowname='Graphics_1') # canvasobj.emit('event', event(gtk.gdk.BUTTON_RELEASE,x= 1.2400000000000e+02,y= 3.1800000000000e+02,button=1,state=273,window=findCanvasGdkWindow('Graphics_1'))) # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Point # # select the second voxels group # findWidget('OOF3D:Microstructure Page:Pane:VoxelGroups:GroupListScroll:GroupList').get_selection().select_path((1,)) # checkpoint microstructure page sensitized # checkpoint meshable button set # # now the current select voxels group has some voxels selection added # assert tests.meshableCheck(1) # assert tests.voxelGroupListCheck('pixelgroup (23 voxels, meshable)', 'pixelgroup<2> (0 voxels, meshable)') # assert tests.selectedGroupCheck('pixelgroup<2> (0 voxels, meshable)') # assert tests.sensitization3() # # add the new selection to the select voxels group # findWidget('OOF3D:Microstructure Page:Pane:VoxelGroups:Add').clicked() # checkpoint meshable button set # checkpoint meshable button set # checkpoint microstructure page sensitized # checkpoint OOF.PixelGroup.AddSelection # # now the two created voxels groups have some voxels selection added # assert tests.meshableCheck(1) # assert tests.voxelGroupListCheck('pixelgroup (23 voxels, meshable)', 'pixelgroup<2> (51 voxels, meshable)') # assert tests.selectedGroupCheck('pixelgroup<2> (51 voxels, meshable)') # assert tests.sensitization4() # # undo the last added voxels # findWidget('OOF3D Graphics 1:Pane0:Pane1:Pane2:TBScroll:Voxel Selection:Undo').clicked() # checkpoint microstructure page sensitized # checkpoint pixel page updated # checkpoint OOF.Graphics_1.Toolbox.Pixel_Select.Undo

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47,121

6.128176

0.051467

0.092436

0.075104

0.077672

0.952659

0.946988

0.941345

0.931903

0.920376

0.91861

0

0.108764

0.063814

47,121

556

163

84.75

0.738768

0.816494

0

0.42268

0

0.421059

0.138848

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null

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0.010309

null

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null

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1

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1

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null

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1

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8

ab6356639b170b0c2ce0e54e646136d0179813ca

778

py

Python

lib_pypy/pypy_test/inprogress_test_binascii_extra.py

kantai/passe-pypy-taint-tracking

b60a3663f8fe89892dc182c8497aab97e2e75d69

[ "MIT" ]

2

2016-07-06T23:30:20.000Z

2017-05-30T15:59:31.000Z

lib/lib_pypy/pypy_test/inprogress_test_binascii_extra.py

ojii/sandlib

f822eb308a86e413076c185724bd28a450c59187

[ "BSD-3-Clause" ]

null

lib/lib_pypy/pypy_test/inprogress_test_binascii_extra.py

ojii/sandlib

f822eb308a86e413076c185724bd28a450c59187

[ "BSD-3-Clause" ]

2

2020-07-09T08:14:22.000Z

2021-01-15T18:01:25.000Z

from __future__ import absolute_import from lib_pypy import binascii def test_uu(): assert binascii.b2a_uu('1234567') == "',3(S-#4V-P \n" assert binascii.b2a_uu('123456789012345678901234567890123456789012345') == 'M,3(S-#4V-S@Y,#$R,S0U-C<X.3 Q,C,T-38W.#DP,3(S-#4V-S@Y,#$R,S0U\n' try: assert binascii.b2a_uu('1234567890123456789012345678901234567890123456') except binascii.Error: pass else: assert False, "Expected binascii.Error on oversize input." assert binascii.b2a_uu('1234567') == "',3(S-#4V-P \n" assert binascii.b2a_uu('123456789012345678901234567890123456789012345') == 'M,3(S-#4V-S@Y,#$R,S0U-C<X.3 Q,C,T-38W.#DP,3(S-#4V-S@Y,#$R,S0U\n' def test_base64(): assert binascii.b2a_base64('xxxx') == 'eHh4eA==\n'

38.9

145

0.674807

120

778

4.258333

0.358333

0.164384

0.199609

0.18591

0.504892

0

0.275188

0.145244

778

19

146

40.947368

0.493233

0

0.266667

0

0.133333

0.465894

0.33462

0

0.466667

1

0.133333

true

0.066667

0.133333

0

0.266667

0

null

0

1

0

1

0

1

0

null

0

1

0

1

0

7

db5a7bb5eb29bdd8389bf3d60deed60e52eceafe

154

py

Python

neuro_pypes/dmri/__init__.py

Neurita/pypes

e88d27ebba842e8fa1f36b52ca12a0b9d5777e89

[ "Apache-2.0" ]

14

2015-11-30T19:32:08.000Z

2021-11-16T05:35:20.000Z

neuro_pypes/dmri/__init__.py

Neurita/pypes

e88d27ebba842e8fa1f36b52ca12a0b9d5777e89

[ "Apache-2.0" ]

42

2015-11-28T23:18:42.000Z

2021-02-23T01:45:02.000Z

neuro_pypes/dmri/__init__.py

Neurita/pypes

e88d27ebba842e8fa1f36b52ca12a0b9d5777e89

[ "Apache-2.0" ]

9

2015-12-09T17:10:59.000Z

2022-01-03T17:26:40.000Z

# -*- coding: utf-8 -*- from neuro_pypes.dmri.dti import attach_spm_fsl_dti_preprocessing from neuro_pypes.dmri.camino import attach_camino_tractography

30.8

65

0.824675

23

154

5.173913

0.652174

0.151261

0.235294

0.302521

0

0.007143

0.090909

154

4

66

38.5

0.842857

0.136364

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

7

db80163bcda70151823b7f6651cf74f3cc531806

139

py

Python

algorithms/1281. Subtract the Product and Sum of Digits of an Integer.py

woozway/py3-leetcode

e51a9ce7a6bb3e35c0fcb8c8f4f6cd5763708dbf

[ "MIT" ]

1

2020-12-02T13:54:30.000Z

algorithms/1281. Subtract the Product and Sum of Digits of an Integer.py

woozway/py3-leetcode

e51a9ce7a6bb3e35c0fcb8c8f4f6cd5763708dbf

[ "MIT" ]

null

algorithms/1281. Subtract the Product and Sum of Digits of an Integer.py

woozway/py3-leetcode

e51a9ce7a6bb3e35c0fcb8c8f4f6cd5763708dbf

[ "MIT" ]

null

class Solution: def subtractProductAndSum(self, n: int) -> int: return reduce(mul, map(int, str(n))) - reduce(add, map(int, str(n)))

34.75

72

0.661871

21

139

4.380952

0.619048

0.130435

0.195652

0.217391

0

0.158273

139

3

73

46.333333

0.786325

0

1

0.333333

false

0

0.333333

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

7

9166061a884ef72479f68d40b9d9037a62e4b77a

21,024

py

Python

reviewboard/hostingsvcs/tests/test_client.py

Xtuden-com/reviewboard

f7c45c8fb6588a462c2cbe0c33d83c7e1035d999

[ "MIT" ]

null

reviewboard/hostingsvcs/tests/test_client.py

Xtuden-com/reviewboard

f7c45c8fb6588a462c2cbe0c33d83c7e1035d999

[ "MIT" ]

null

reviewboard/hostingsvcs/tests/test_client.py

Xtuden-com/reviewboard

f7c45c8fb6588a462c2cbe0c33d83c7e1035d999

[ "MIT" ]

null

"""Test cases for the hosting service client support.""" from __future__ import unicode_literals from kgb import SpyAgency from reviewboard.hostingsvcs.models import HostingServiceAccount from reviewboard.hostingsvcs.service import (HostingService, HostingServiceClient, HostingServiceHTTPRequest, HostingServiceHTTPResponse) from reviewboard.testing.testcase import TestCase class DummyHTTPRequest(HostingServiceHTTPRequest): def open(self): method = self.method if method in ('DELETE', 'HEAD'): data = None else: data = b'test response' if method == 'DELETE': status_code = 204 elif method == 'POST': status_code = 201 else: status_code = 200 return HostingServiceHTTPResponse( request=self, url=self.url, data=data, headers={ str('Test-header'): str('Value'), }, status_code=status_code) class HostingServiceHTTPRequestTests(TestCase): """Unit tests for HostingServiceHTTPRequest.""" def test_init_with_query(self): """Testing HostingServiceHTTPRequest construction with query=""" request = HostingServiceHTTPRequest( url='http://example.com?z=1&z=2&baz=true', query={ 'foo': 'bar', 'a': 10, 'list': ['a', 'b', 'c'], }) self.assertEqual( request.url, 'http://example.com?a=10&baz=true&foo=bar&list=a&list=b&list=c' '&z=1&z=2') def test_add_basic_auth(self): """Testing HostingServiceHTTPRequest.add_basic_auth""" request = HostingServiceHTTPRequest('http://example.com') request.add_basic_auth(b'username', b'password') self.assertEqual( request.headers, { 'Authorization': 'Basic dXNlcm5hbWU6cGFzc3dvcmQ=', }) def test_get_header(self): """Testing HostingServiceHTTPRequest.get_header""" request = HostingServiceHTTPRequest( 'http://example.com', headers={ 'Authorization': 'Basic abc123', 'Content-Length': '123', }) self.assertEqual(request.get_header('Authorization'), 'Basic abc123') self.assertEqual(request.get_header('AUTHORIZATION'), 'Basic abc123') self.assertEqual(request.get_header('authorization'), 'Basic abc123') self.assertEqual(request.get_header('Content-Length'), '123') self.assertEqual(request.get_header('CONTENT-LENGTH'), '123') self.assertEqual(request.get_header('content-length'), '123') class HostingServiceHTTPResponseTests(TestCase): """Unit tests for HostingServiceHTTPResponse.""" def test_json(self): """Testing HostingServiceHTTPResponse.json""" request = HostingServiceHTTPRequest('http://example.com') response = HostingServiceHTTPResponse(request=request, url='http://example.com', data=b'{"a": 1, "b": 2}', headers={}, status_code=200) self.assertEqual( response.json, { 'a': 1, 'b': 2, }) def test_json_with_non_json_response(self): """Testing HostingServiceHTTPResponse.json with non-JSON response""" request = HostingServiceHTTPRequest('http://example.com') response = HostingServiceHTTPResponse(request=request, url='http://example.com', data=b'{[(', headers={}, status_code=200) with self.assertRaises(ValueError): response.json def test_get_header(self): """Testing HostingServiceHTTPRequest.get_header""" request = HostingServiceHTTPRequest('http://example.com') response = HostingServiceHTTPResponse( request=request, url=request.url, status_code=200, data=b'', headers={ str('Authorization'): str('Basic abc123'), str('Content-Length'): str('123'), }) self.assertEqual(response.get_header('Authorization'), 'Basic abc123') self.assertEqual(response.get_header('AUTHORIZATION'), 'Basic abc123') self.assertEqual(response.get_header('authorization'), 'Basic abc123') self.assertEqual(response.get_header('Content-Length'), '123') self.assertEqual(response.get_header('CONTENT-LENGTH'), '123') self.assertEqual(response.get_header('content-length'), '123') class HostingServiceClientTests(SpyAgency, TestCase): """Unit tests for HostingServiceClient""" def setUp(self): super(HostingServiceClientTests, self).setUp() account = HostingServiceAccount() service = HostingService(account) self.client = HostingServiceClient(service) self.client.http_request_cls = DummyHTTPRequest def test_http_delete(self): """Testing HostingServiceClient.http_delete""" self.spy_on(self.client.build_http_request) response = self.client.http_delete( url='http://example.com', headers={ 'Foo': 'bar', }, username='username', password='password') self.assertIsInstance(response, HostingServiceHTTPResponse) self.assertIsNone(response.data) self.assertEqual(response.url, 'http://example.com') self.assertEqual(response.status_code, 204) self.assertIsInstance(response.headers, dict) self.assertEqual( response.headers, { str('Test-header'): str('Value'), }) data, headers = response self.assertEqual(data, response.data) self.assertEqual(headers, response.headers) self.assertTrue(self.client.build_http_request.called_with( url='http://example.com', body=None, headers={ 'Foo': 'bar', }, credentials={ 'username': 'username', 'password': 'password', })) request = self.client.build_http_request.last_call.return_value self.assertIsNone(request.data) self.assertEqual(request.url, 'http://example.com') self.assertEqual(request.method, 'DELETE') self.assertIsInstance(response.headers, dict) self.assertEqual( request.headers, { 'Authorization': 'Basic dXNlcm5hbWU6cGFzc3dvcmQ=', 'Foo': 'bar', }) def test_http_get(self): """Testing HostingServiceClient.http_get""" self.spy_on(self.client.build_http_request) response = self.client.http_get( url='http://example.com', headers={ 'Foo': 'bar', }, username='username', password='password') self.assertIsInstance(response, HostingServiceHTTPResponse) self.assertEqual(response.url, 'http://example.com') self.assertEqual(response.data, b'test response') self.assertEqual(response.status_code, 200) self.assertIsInstance(response.headers, dict) self.assertEqual( response.headers, { str('Test-header'): str('Value'), }) data, headers = response self.assertEqual(data, response.data) self.assertEqual(headers, response.headers) self.assertTrue(self.client.build_http_request.called_with( url='http://example.com', body=None, headers={ 'Foo': 'bar', }, method='GET', username='username', password='password')) request = self.client.build_http_request.last_call.return_value self.assertIsNone(request.data) self.assertEqual(request.url, 'http://example.com') self.assertEqual(request.method, 'GET') self.assertIsInstance(response.headers, dict) self.assertEqual( request.headers, { 'Authorization': 'Basic dXNlcm5hbWU6cGFzc3dvcmQ=', 'Foo': 'bar', }) def test_http_head(self): """Testing HostingServiceClient.http_head""" self.spy_on(self.client.build_http_request) response = self.client.http_head( url='http://example.com', headers={ 'Foo': 'bar', }, username='username', password='password') self.assertIsInstance(response, HostingServiceHTTPResponse) self.assertIsNone(response.data) self.assertEqual(response.url, 'http://example.com') self.assertEqual(response.status_code, 200) self.assertIsInstance(response.headers, dict) self.assertEqual( response.headers, { str('Test-header'): str('Value'), }) data, headers = response self.assertEqual(data, response.data) self.assertEqual(headers, response.headers) self.assertTrue(self.client.build_http_request.called_with( url='http://example.com', body=None, headers={ 'Foo': 'bar', }, method='HEAD', username='username', password='password')) request = self.client.build_http_request.last_call.return_value self.assertIsNone(request.data) self.assertEqual(request.url, 'http://example.com') self.assertEqual(request.method, 'HEAD') self.assertIsInstance(response.headers, dict) self.assertEqual( request.headers, { 'Authorization': 'Basic dXNlcm5hbWU6cGFzc3dvcmQ=', 'Foo': 'bar', }) def test_http_post_with_body_unicode(self): """Testing HostingServiceClient.http_post with body as Unicode""" self.spy_on(self.client.build_http_request) response = self.client.http_post( url='http://example.com', body='test body\U0001f60b', headers={ 'Foo': 'bar', }, username='username', password='password') self.assertIsInstance(response, HostingServiceHTTPResponse) self.assertEqual(response.url, 'http://example.com') self.assertEqual(response.data, b'test response') self.assertEqual(response.status_code, 201) self.assertIsInstance(response.headers, dict) self.assertEqual( response.headers, { str('Test-header'): str('Value'), }) data, headers = response self.assertEqual(data, response.data) self.assertEqual(headers, response.headers) self.assertTrue(self.client.build_http_request.called_with( url='http://example.com', body=b'test body\xf0\x9f\x98\x8b', headers={ 'Content-Length': '13', 'Foo': 'bar', }, method='POST', username='username', password='password')) request = self.client.build_http_request.last_call.return_value self.assertEqual(request.url, 'http://example.com') self.assertEqual(request.method, 'POST') self.assertEqual(request.data, b'test body\xf0\x9f\x98\x8b') self.assertIsInstance(response.headers, dict) self.assertEqual( request.headers, { 'Authorization': 'Basic dXNlcm5hbWU6cGFzc3dvcmQ=', 'Content-length': '13', 'Foo': 'bar', }) def test_http_post_with_body_bytes(self): """Testing HostingServiceClient.http_post with body as bytes""" self.spy_on(self.client.build_http_request) response = self.client.http_post( url='http://example.com', body=b'test body\x01\x02\x03', headers={ 'Foo': 'bar', }, username='username', password='password') self.assertIsInstance(response, HostingServiceHTTPResponse) self.assertEqual(response.url, 'http://example.com') self.assertEqual(response.data, b'test response') self.assertEqual(response.status_code, 201) self.assertIsInstance(response.headers, dict) self.assertEqual( response.headers, { str('Test-header'): str('Value'), }) data, headers = response self.assertEqual(data, response.data) self.assertEqual(headers, response.headers) self.assertTrue(self.client.build_http_request.called_with( url='http://example.com', body=b'test body\x01\x02\x03', headers={ 'Content-Length': '12', 'Foo': 'bar', }, method='POST', username='username', password='password')) request = self.client.build_http_request.last_call.return_value self.assertEqual(request.url, 'http://example.com') self.assertEqual(request.method, 'POST') self.assertEqual(request.data, b'test body\x01\x02\x03') self.assertIsInstance(response.headers, dict) self.assertEqual( request.headers, { 'Authorization': 'Basic dXNlcm5hbWU6cGFzc3dvcmQ=', 'Content-length': '12', 'Foo': 'bar', }) def test_http_put_with_body_unicode(self): """Testing HostingServiceClient.http_put with body as Unicode""" self.spy_on(self.client.build_http_request) response = self.client.http_put( url='http://example.com', body='test body\U0001f60b', headers={ 'Foo': 'bar', }, username='username', password='password') self.assertIsInstance(response, HostingServiceHTTPResponse) self.assertEqual(response.url, 'http://example.com') self.assertEqual(response.data, b'test response') self.assertEqual(response.status_code, 200) self.assertIsInstance(response.headers, dict) self.assertEqual( response.headers, { str('Test-header'): str('Value'), }) data, headers = response self.assertEqual(data, response.data) self.assertEqual(headers, response.headers) self.assertTrue(self.client.build_http_request.called_with( url='http://example.com', body=b'test body\xf0\x9f\x98\x8b', headers={ 'Content-Length': '13', 'Foo': 'bar', }, method='PUT', username='username', password='password')) request = self.client.build_http_request.last_call.return_value self.assertEqual(request.url, 'http://example.com') self.assertEqual(request.method, 'PUT') self.assertEqual(request.data, b'test body\xf0\x9f\x98\x8b') self.assertIsInstance(response.headers, dict) self.assertEqual( request.headers, { 'Authorization': 'Basic dXNlcm5hbWU6cGFzc3dvcmQ=', 'Content-length': '13', 'Foo': 'bar', }) def test_http_put_with_body_bytes(self): """Testing HostingServiceClient.http_put with body as bytes""" self.spy_on(self.client.build_http_request) response = self.client.http_put( url='http://example.com', body=b'test body\x01\x02\x03', headers={ 'Foo': 'bar', }, username='username', password='password') self.assertIsInstance(response, HostingServiceHTTPResponse) self.assertEqual(response.url, 'http://example.com') self.assertEqual(response.data, b'test response') self.assertEqual(response.status_code, 200) self.assertIsInstance(response.headers, dict) self.assertEqual( response.headers, { str('Test-header'): str('Value'), }) data, headers = response self.assertEqual(data, response.data) self.assertEqual(headers, response.headers) self.assertTrue(self.client.build_http_request.called_with( url='http://example.com', body=b'test body\x01\x02\x03', headers={ 'Content-Length': '12', 'Foo': 'bar', }, method='PUT', username='username', password='password')) request = self.client.build_http_request.last_call.return_value self.assertEqual(request.url, 'http://example.com') self.assertEqual(request.method, 'PUT') self.assertEqual(request.data, b'test body\x01\x02\x03') self.assertIsInstance(response.headers, dict) self.assertEqual( request.headers, { 'Authorization': 'Basic dXNlcm5hbWU6cGFzc3dvcmQ=', 'Content-length': '12', 'Foo': 'bar', }) def test_http_request(self): """Testing HostingServiceClient.http_request""" self.spy_on(self.client.build_http_request) response = self.client.http_request( url='http://example.com', body=b'test', headers={ 'Foo': 'bar', }, method='BAZ', username='username', password='password') self.assertIsInstance(response, HostingServiceHTTPResponse) self.assertEqual(response.url, 'http://example.com') self.assertEqual(response.data, b'test response') self.assertEqual(response.status_code, 200) self.assertIsInstance(response.headers, dict) self.assertEqual( response.headers, { str('Test-header'): str('Value'), }) data, headers = response self.assertEqual(data, response.data) self.assertEqual(headers, response.headers) self.assertTrue(self.client.build_http_request.called_with( url='http://example.com', body=b'test', headers={ 'Foo': 'bar', }, method='BAZ', username='username', password='password')) request = self.client.build_http_request.last_call.return_value self.assertEqual(request.url, 'http://example.com') self.assertEqual(request.method, 'BAZ') self.assertEqual(request.data, b'test') self.assertIsInstance(response.headers, dict) self.assertEqual( request.headers, { 'Authorization': 'Basic dXNlcm5hbWU6cGFzc3dvcmQ=', 'Foo': 'bar', }) def test_build_http_request(self): """Testing HostingServiceClient.build_http_request""" request = self.client.build_http_request( url='http://example.com', body=b'test', method='POST', credentials={}, headers={ 'Foo': 'bar', }) self.assertEqual(request.url, 'http://example.com') self.assertEqual(request.data, b'test') self.assertEqual(request.method, 'POST') self.assertEqual( request.headers, { 'Foo': 'bar', }) def test_build_http_request_with_basic_auth(self): """Testing HostingServiceClient.build_http_request with username and password """ request = self.client.build_http_request( url='http://example.com', body=b'test', method='POST', headers={ 'Foo': 'bar', }, credentials={ 'username': 'username', 'password': 'password', }) self.assertEqual(request.url, 'http://example.com') self.assertEqual(request.data, b'test') self.assertEqual(request.method, 'POST') self.assertEqual( request.headers, { 'Authorization': 'Basic dXNlcm5hbWU6cGFzc3dvcmQ=', 'Foo': 'bar', })

34.807947

78

0.557934

1,885

21,024

6.117772

0.065782

0.127471

0.054631

0.058966

0.836975

0.825702

0.813996

0.795179

0.770638

0.765956

0

0.015173

0.322869

21,024

603

79

34.865672

0.794886

0.047041

0

0.727455

0

0.002004

0.146357

0.01205

0

0.272545

1

0.036072

false

0.036072

0.01002

0

0.056112

0

null

0

1

0

1

0

null

0

7

91a87bc90a279e442b313e5f04df1f8b8bca4592

170,124

py

Python

stubs/System/CodeDom/Compiler.py

ricardyn/ironpython-stubs

4d2b405eda3ceed186e8adca55dd97c332c6f49d

[ "MIT" ]

1

2021-02-02T13:39:16.000Z

stubs/System/CodeDom/Compiler.py

hdm-dt-fb/ironpython-stubs

4d2b405eda3ceed186e8adca55dd97c332c6f49d

[ "MIT" ]

null

stubs/System/CodeDom/Compiler.py

hdm-dt-fb/ironpython-stubs

4d2b405eda3ceed186e8adca55dd97c332c6f49d

[ "MIT" ]

null

# encoding: utf-8 # module System.CodeDom.Compiler calls itself Compiler # from System, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089 # by generator 1.145 # no doc # no imports # no functions # classes class ICodeGenerator: """ Defines an interface for generating code. """ def CreateEscapedIdentifier(self, value): """ CreateEscapedIdentifier(self: ICodeGenerator, value: str) -> str Creates an escaped identifier for the specified value. value: The string to create an escaped identifier for. Returns: The escaped identifier for the value. """ pass def CreateValidIdentifier(self, value): """ CreateValidIdentifier(self: ICodeGenerator, value: str) -> str Creates a valid identifier for the specified value. value: The string to generate a valid identifier for. Returns: A valid identifier for the specified value. """ pass def GenerateCodeFromCompileUnit(self, e, w, o): """ GenerateCodeFromCompileUnit(self: ICodeGenerator, e: CodeCompileUnit, w: TextWriter, o: CodeGeneratorOptions) Generates code for the specified Code Document Object Model (CodeDOM) compilation unit and outputs it to the specified text writer using the specified options. e: A System.CodeDom.CodeCompileUnit to generate code for. w: The System.IO.TextWriter to output code to. o: A System.CodeDom.Compiler.CodeGeneratorOptions that indicates the options to use for generating code. """ pass def GenerateCodeFromExpression(self, e, w, o): """ GenerateCodeFromExpression(self: ICodeGenerator, e: CodeExpression, w: TextWriter, o: CodeGeneratorOptions) Generates code for the specified Code Document Object Model (CodeDOM) expression and outputs it to the specified text writer. e: A System.CodeDom.CodeExpression that indicates the expression to generate code for. w: The System.IO.TextWriter to output code to. o: A System.CodeDom.Compiler.CodeGeneratorOptions that indicates the options to use for generating code. """ pass def GenerateCodeFromNamespace(self, e, w, o): """ GenerateCodeFromNamespace(self: ICodeGenerator, e: CodeNamespace, w: TextWriter, o: CodeGeneratorOptions) Generates code for the specified Code Document Object Model (CodeDOM) namespace and outputs it to the specified text writer using the specified options. e: A System.CodeDom.CodeNamespace that indicates the namespace to generate code for. w: The System.IO.TextWriter to output code to. o: A System.CodeDom.Compiler.CodeGeneratorOptions that indicates the options to use for generating code. """ pass def GenerateCodeFromStatement(self, e, w, o): """ GenerateCodeFromStatement(self: ICodeGenerator, e: CodeStatement, w: TextWriter, o: CodeGeneratorOptions) Generates code for the specified Code Document Object Model (CodeDOM) statement and outputs it to the specified text writer using the specified options. e: A System.CodeDom.CodeStatement containing the CodeDOM elements to translate. w: The System.IO.TextWriter to output code to. o: A System.CodeDom.Compiler.CodeGeneratorOptions that indicates the options to use for generating code. """ pass def GenerateCodeFromType(self, e, w, o): """ GenerateCodeFromType(self: ICodeGenerator, e: CodeTypeDeclaration, w: TextWriter, o: CodeGeneratorOptions) Generates code for the specified Code Document Object Model (CodeDOM) type declaration and outputs it to the specified text writer using the specified options. e: A System.CodeDom.CodeTypeDeclaration that indicates the type to generate code for. w: The System.IO.TextWriter to output code to. o: A System.CodeDom.Compiler.CodeGeneratorOptions that indicates the options to use for generating code. """ pass def GetTypeOutput(self, type): """ GetTypeOutput(self: ICodeGenerator, type: CodeTypeReference) -> str Gets the type indicated by the specified System.CodeDom.CodeTypeReference. type: A System.CodeDom.CodeTypeReference that indicates the type to return. Returns: A text representation of the specified type for the language this code generator is designed to generate code in. For example, in Visual Basic, passing in type System.Int32 will return "Integer". """ pass def IsValidIdentifier(self, value): """ IsValidIdentifier(self: ICodeGenerator, value: str) -> bool Gets a value that indicates whether the specified value is a valid identifier for the current language. value: The value to test for being a valid identifier. Returns: true if the value parameter is a valid identifier; otherwise, false. """ pass def Supports(self, supports): """ Supports(self: ICodeGenerator, supports: GeneratorSupport) -> bool Gets a value indicating whether the generator provides support for the language features represented by the specified System.CodeDom.Compiler.GeneratorSupport object. supports: The capabilities to test the generator for. Returns: true if the specified capabilities are supported; otherwise, false. """ pass def ValidateIdentifier(self, value): """ ValidateIdentifier(self: ICodeGenerator, value: str) Throws an exception if the specified value is not a valid identifier. value: The identifier to validate. """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass class CodeGenerator(object, ICodeGenerator): """ Provides an example implementation of the System.CodeDom.Compiler.ICodeGenerator interface. This class is abstract. """ def ContinueOnNewLine(self, *args): #cannot find CLR method """ ContinueOnNewLine(self: CodeGenerator, st: str) Generates a line-continuation character and outputs the specified string on a new line. st: The string to write on the new line. """ pass def CreateEscapedIdentifier(self, *args): #cannot find CLR method """ CreateEscapedIdentifier(self: CodeGenerator, value: str) -> str Creates an escaped identifier for the specified value. value: The string to create an escaped identifier for. Returns: The escaped identifier for the value. """ pass def CreateValidIdentifier(self, *args): #cannot find CLR method """ CreateValidIdentifier(self: CodeGenerator, value: str) -> str Creates a valid identifier for the specified value. value: A string to create a valid identifier for. Returns: A valid identifier for the value. """ pass def GenerateArgumentReferenceExpression(self, *args): #cannot find CLR method """ GenerateArgumentReferenceExpression(self: CodeGenerator, e: CodeArgumentReferenceExpression) Generates code for the specified argument reference expression. e: A System.CodeDom.CodeArgumentReferenceExpression that indicates the expression to generate code for. """ pass def GenerateArrayCreateExpression(self, *args): #cannot find CLR method """ GenerateArrayCreateExpression(self: CodeGenerator, e: CodeArrayCreateExpression) Generates code for the specified array creation expression. e: A System.CodeDom.CodeArrayCreateExpression that indicates the expression to generate code for. """ pass def GenerateArrayIndexerExpression(self, *args): #cannot find CLR method """ GenerateArrayIndexerExpression(self: CodeGenerator, e: CodeArrayIndexerExpression) Generates code for the specified array indexer expression. e: A System.CodeDom.CodeArrayIndexerExpression that indicates the expression to generate code for. """ pass def GenerateAssignStatement(self, *args): #cannot find CLR method """ GenerateAssignStatement(self: CodeGenerator, e: CodeAssignStatement) Generates code for the specified assignment statement. e: A System.CodeDom.CodeAssignStatement that indicates the statement to generate code for. """ pass def GenerateAttachEventStatement(self, *args): #cannot find CLR method """ GenerateAttachEventStatement(self: CodeGenerator, e: CodeAttachEventStatement) Generates code for the specified attach event statement. e: A System.CodeDom.CodeAttachEventStatement that indicates the statement to generate code for. """ pass def GenerateAttributeDeclarationsEnd(self, *args): #cannot find CLR method """ GenerateAttributeDeclarationsEnd(self: CodeGenerator, attributes: CodeAttributeDeclarationCollection) Generates code for the specified attribute block end. attributes: A System.CodeDom.CodeAttributeDeclarationCollection that indicates the end of the attribute block to generate code for. """ pass def GenerateAttributeDeclarationsStart(self, *args): #cannot find CLR method """ GenerateAttributeDeclarationsStart(self: CodeGenerator, attributes: CodeAttributeDeclarationCollection) Generates code for the specified attribute block start. attributes: A System.CodeDom.CodeAttributeDeclarationCollection that indicates the start of the attribute block to generate code for. """ pass def GenerateBaseReferenceExpression(self, *args): #cannot find CLR method """ GenerateBaseReferenceExpression(self: CodeGenerator, e: CodeBaseReferenceExpression) Generates code for the specified base reference expression. e: A System.CodeDom.CodeBaseReferenceExpression that indicates the expression to generate code for. """ pass def GenerateBinaryOperatorExpression(self, *args): #cannot find CLR method """ GenerateBinaryOperatorExpression(self: CodeGenerator, e: CodeBinaryOperatorExpression) Generates code for the specified binary operator expression. e: A System.CodeDom.CodeBinaryOperatorExpression that indicates the expression to generate code for. """ pass def GenerateCastExpression(self, *args): #cannot find CLR method """ GenerateCastExpression(self: CodeGenerator, e: CodeCastExpression) Generates code for the specified cast expression. e: A System.CodeDom.CodeCastExpression that indicates the expression to generate code for. """ pass def GenerateCodeFromMember(self, member, writer, options): """ GenerateCodeFromMember(self: CodeGenerator, member: CodeTypeMember, writer: TextWriter, options: CodeGeneratorOptions) Generates code for the specified class member using the specified text writer and code generator options. member: The class member to generate code for. writer: The text writer to output code to. options: The options to use when generating the code. """ pass def GenerateComment(self, *args): #cannot find CLR method """ GenerateComment(self: CodeGenerator, e: CodeComment) Generates code for the specified comment. e: A System.CodeDom.CodeComment to generate code for. """ pass def GenerateCommentStatement(self, *args): #cannot find CLR method """ GenerateCommentStatement(self: CodeGenerator, e: CodeCommentStatement) Generates code for the specified comment statement. e: The statement to generate code for. """ pass def GenerateCommentStatements(self, *args): #cannot find CLR method """ GenerateCommentStatements(self: CodeGenerator, e: CodeCommentStatementCollection) Generates code for the specified comment statements. e: The expression to generate code for. """ pass def GenerateCompileUnit(self, *args): #cannot find CLR method """ GenerateCompileUnit(self: CodeGenerator, e: CodeCompileUnit) Generates code for the specified compile unit. e: The compile unit to generate code for. """ pass def GenerateCompileUnitEnd(self, *args): #cannot find CLR method """ GenerateCompileUnitEnd(self: CodeGenerator, e: CodeCompileUnit) Generates code for the end of a compile unit. e: The compile unit to generate code for. """ pass def GenerateCompileUnitStart(self, *args): #cannot find CLR method """ GenerateCompileUnitStart(self: CodeGenerator, e: CodeCompileUnit) Generates code for the start of a compile unit. e: The compile unit to generate code for. """ pass def GenerateConditionStatement(self, *args): #cannot find CLR method """ GenerateConditionStatement(self: CodeGenerator, e: CodeConditionStatement) Generates code for the specified conditional statement. e: The statement to generate code for. """ pass def GenerateConstructor(self, *args): #cannot find CLR method """ GenerateConstructor(self: CodeGenerator, e: CodeConstructor, c: CodeTypeDeclaration) Generates code for the specified constructor. e: The constructor to generate code for. c: The type of the object that this constructor constructs. """ pass def GenerateDecimalValue(self, *args): #cannot find CLR method """ GenerateDecimalValue(self: CodeGenerator, d: Decimal) Generates code for the specified decimal value. d: The decimal value to generate code for. """ pass def GenerateDefaultValueExpression(self, *args): #cannot find CLR method """ GenerateDefaultValueExpression(self: CodeGenerator, e: CodeDefaultValueExpression) Generates code for the specified reference to a default value. e: The reference to generate code for. """ pass def GenerateDelegateCreateExpression(self, *args): #cannot find CLR method """ GenerateDelegateCreateExpression(self: CodeGenerator, e: CodeDelegateCreateExpression) Generates code for the specified delegate creation expression. e: The expression to generate code for. """ pass def GenerateDelegateInvokeExpression(self, *args): #cannot find CLR method """ GenerateDelegateInvokeExpression(self: CodeGenerator, e: CodeDelegateInvokeExpression) Generates code for the specified delegate invoke expression. e: The expression to generate code for. """ pass def GenerateDirectionExpression(self, *args): #cannot find CLR method """ GenerateDirectionExpression(self: CodeGenerator, e: CodeDirectionExpression) Generates code for the specified direction expression. e: The expression to generate code for. """ pass def GenerateDirectives(self, *args): #cannot find CLR method """ GenerateDirectives(self: CodeGenerator, directives: CodeDirectiveCollection) Generates code for the specified code directives. directives: The code directives to generate code for. """ pass def GenerateDoubleValue(self, *args): #cannot find CLR method """ GenerateDoubleValue(self: CodeGenerator, d: float) Generates code for a double-precision floating point number. d: The value to generate code for. """ pass def GenerateEntryPointMethod(self, *args): #cannot find CLR method """ GenerateEntryPointMethod(self: CodeGenerator, e: CodeEntryPointMethod, c: CodeTypeDeclaration) Generates code for the specified entry point method. e: The entry point for the code. c: The code that declares the type. """ pass def GenerateEvent(self, *args): #cannot find CLR method """ GenerateEvent(self: CodeGenerator, e: CodeMemberEvent, c: CodeTypeDeclaration) Generates code for the specified event. e: The member event to generate code for. c: The type of the object that this event occurs on. """ pass def GenerateEventReferenceExpression(self, *args): #cannot find CLR method """ GenerateEventReferenceExpression(self: CodeGenerator, e: CodeEventReferenceExpression) Generates code for the specified event reference expression. e: The expression to generate code for. """ pass def GenerateExpression(self, *args): #cannot find CLR method """ GenerateExpression(self: CodeGenerator, e: CodeExpression) Generates code for the specified code expression. e: The code expression to generate code for. """ pass def GenerateExpressionStatement(self, *args): #cannot find CLR method """ GenerateExpressionStatement(self: CodeGenerator, e: CodeExpressionStatement) Generates code for the specified expression statement. e: The statement to generate code for. """ pass def GenerateField(self, *args): #cannot find CLR method """ GenerateField(self: CodeGenerator, e: CodeMemberField) Generates code for the specified member field. e: The field to generate code for. """ pass def GenerateFieldReferenceExpression(self, *args): #cannot find CLR method """ GenerateFieldReferenceExpression(self: CodeGenerator, e: CodeFieldReferenceExpression) Generates code for the specified field reference expression. e: The expression to generate code for. """ pass def GenerateGotoStatement(self, *args): #cannot find CLR method """ GenerateGotoStatement(self: CodeGenerator, e: CodeGotoStatement) Generates code for the specified goto statement. e: The expression to generate code for. """ pass def GenerateIndexerExpression(self, *args): #cannot find CLR method """ GenerateIndexerExpression(self: CodeGenerator, e: CodeIndexerExpression) Generates code for the specified indexer expression. e: The expression to generate code for. """ pass def GenerateIterationStatement(self, *args): #cannot find CLR method """ GenerateIterationStatement(self: CodeGenerator, e: CodeIterationStatement) Generates code for the specified iteration statement. e: The statement to generate code for. """ pass def GenerateLabeledStatement(self, *args): #cannot find CLR method """ GenerateLabeledStatement(self: CodeGenerator, e: CodeLabeledStatement) Generates code for the specified labeled statement. e: The statement to generate code for. """ pass def GenerateLinePragmaEnd(self, *args): #cannot find CLR method """ GenerateLinePragmaEnd(self: CodeGenerator, e: CodeLinePragma) Generates code for the specified line pragma end. e: The end of the line pragma to generate code for. """ pass def GenerateLinePragmaStart(self, *args): #cannot find CLR method """ GenerateLinePragmaStart(self: CodeGenerator, e: CodeLinePragma) Generates code for the specified line pragma start. e: The start of the line pragma to generate code for. """ pass def GenerateMethod(self, *args): #cannot find CLR method """ GenerateMethod(self: CodeGenerator, e: CodeMemberMethod, c: CodeTypeDeclaration) Generates code for the specified method. e: The member method to generate code for. c: The type of the object that this method occurs on. """ pass def GenerateMethodInvokeExpression(self, *args): #cannot find CLR method """ GenerateMethodInvokeExpression(self: CodeGenerator, e: CodeMethodInvokeExpression) Generates code for the specified method invoke expression. e: The expression to generate code for. """ pass def GenerateMethodReferenceExpression(self, *args): #cannot find CLR method """ GenerateMethodReferenceExpression(self: CodeGenerator, e: CodeMethodReferenceExpression) Generates code for the specified method reference expression. e: The expression to generate code for. """ pass def GenerateMethodReturnStatement(self, *args): #cannot find CLR method """ GenerateMethodReturnStatement(self: CodeGenerator, e: CodeMethodReturnStatement) Generates code for the specified method return statement. e: The statement to generate code for. """ pass def GenerateNamespace(self, *args): #cannot find CLR method """ GenerateNamespace(self: CodeGenerator, e: CodeNamespace) Generates code for the specified namespace. e: The namespace to generate code for. """ pass def GenerateNamespaceEnd(self, *args): #cannot find CLR method """ GenerateNamespaceEnd(self: CodeGenerator, e: CodeNamespace) Generates code for the end of a namespace. e: The namespace to generate code for. """ pass def GenerateNamespaceImport(self, *args): #cannot find CLR method """ GenerateNamespaceImport(self: CodeGenerator, e: CodeNamespaceImport) Generates code for the specified namespace import. e: The namespace import to generate code for. """ pass def GenerateNamespaceImports(self, *args): #cannot find CLR method """ GenerateNamespaceImports(self: CodeGenerator, e: CodeNamespace) Generates code for the specified namespace import. e: The namespace import to generate code for. """ pass def GenerateNamespaces(self, *args): #cannot find CLR method """ GenerateNamespaces(self: CodeGenerator, e: CodeCompileUnit) Generates code for the namespaces in the specified compile unit. e: The compile unit to generate namespaces for. """ pass def GenerateNamespaceStart(self, *args): #cannot find CLR method """ GenerateNamespaceStart(self: CodeGenerator, e: CodeNamespace) Generates code for the start of a namespace. e: The namespace to generate code for. """ pass def GenerateObjectCreateExpression(self, *args): #cannot find CLR method """ GenerateObjectCreateExpression(self: CodeGenerator, e: CodeObjectCreateExpression) Generates code for the specified object creation expression. e: The expression to generate code for. """ pass def GenerateParameterDeclarationExpression(self, *args): #cannot find CLR method """ GenerateParameterDeclarationExpression(self: CodeGenerator, e: CodeParameterDeclarationExpression) Generates code for the specified parameter declaration expression. e: The expression to generate code for. """ pass def GeneratePrimitiveExpression(self, *args): #cannot find CLR method """ GeneratePrimitiveExpression(self: CodeGenerator, e: CodePrimitiveExpression) Generates code for the specified primitive expression. e: The expression to generate code for. """ pass def GenerateProperty(self, *args): #cannot find CLR method """ GenerateProperty(self: CodeGenerator, e: CodeMemberProperty, c: CodeTypeDeclaration) Generates code for the specified property. e: The property to generate code for. c: The type of the object that this property occurs on. """ pass def GeneratePropertyReferenceExpression(self, *args): #cannot find CLR method """ GeneratePropertyReferenceExpression(self: CodeGenerator, e: CodePropertyReferenceExpression) Generates code for the specified property reference expression. e: The expression to generate code for. """ pass def GeneratePropertySetValueReferenceExpression(self, *args): #cannot find CLR method """ GeneratePropertySetValueReferenceExpression(self: CodeGenerator, e: CodePropertySetValueReferenceExpression) Generates code for the specified property set value reference expression. e: The expression to generate code for. """ pass def GenerateRemoveEventStatement(self, *args): #cannot find CLR method """ GenerateRemoveEventStatement(self: CodeGenerator, e: CodeRemoveEventStatement) Generates code for the specified remove event statement. e: The statement to generate code for. """ pass def GenerateSingleFloatValue(self, *args): #cannot find CLR method """ GenerateSingleFloatValue(self: CodeGenerator, s: Single) Generates code for a single-precision floating point number. s: The value to generate code for. """ pass def GenerateSnippetCompileUnit(self, *args): #cannot find CLR method """ GenerateSnippetCompileUnit(self: CodeGenerator, e: CodeSnippetCompileUnit) Outputs the code of the specified literal code fragment compile unit. e: The literal code fragment compile unit to generate code for. """ pass def GenerateSnippetExpression(self, *args): #cannot find CLR method """ GenerateSnippetExpression(self: CodeGenerator, e: CodeSnippetExpression) Outputs the code of the specified literal code fragment expression. e: The expression to generate code for. """ pass def GenerateSnippetMember(self, *args): #cannot find CLR method """ GenerateSnippetMember(self: CodeGenerator, e: CodeSnippetTypeMember) Outputs the code of the specified literal code fragment class member. e: The member to generate code for. """ pass def GenerateSnippetStatement(self, *args): #cannot find CLR method """ GenerateSnippetStatement(self: CodeGenerator, e: CodeSnippetStatement) Outputs the code of the specified literal code fragment statement. e: The statement to generate code for. """ pass def GenerateStatement(self, *args): #cannot find CLR method """ GenerateStatement(self: CodeGenerator, e: CodeStatement) Generates code for the specified statement. e: The statement to generate code for. """ pass def GenerateStatements(self, *args): #cannot find CLR method """ GenerateStatements(self: CodeGenerator, stms: CodeStatementCollection) Generates code for the specified statement collection. stms: The statements to generate code for. """ pass def GenerateThisReferenceExpression(self, *args): #cannot find CLR method """ GenerateThisReferenceExpression(self: CodeGenerator, e: CodeThisReferenceExpression) Generates code for the specified this reference expression. e: The expression to generate code for. """ pass def GenerateThrowExceptionStatement(self, *args): #cannot find CLR method """ GenerateThrowExceptionStatement(self: CodeGenerator, e: CodeThrowExceptionStatement) Generates code for the specified throw exception statement. e: The statement to generate code for. """ pass def GenerateTryCatchFinallyStatement(self, *args): #cannot find CLR method """ GenerateTryCatchFinallyStatement(self: CodeGenerator, e: CodeTryCatchFinallyStatement) Generates code for the specified try...catch...finally statement. e: The statement to generate code for. """ pass def GenerateTypeConstructor(self, *args): #cannot find CLR method """ GenerateTypeConstructor(self: CodeGenerator, e: CodeTypeConstructor) Generates code for the specified class constructor. e: The class constructor to generate code for. """ pass def GenerateTypeEnd(self, *args): #cannot find CLR method """ GenerateTypeEnd(self: CodeGenerator, e: CodeTypeDeclaration) Generates code for the specified end of the class. e: The end of the class to generate code for. """ pass def GenerateTypeOfExpression(self, *args): #cannot find CLR method """ GenerateTypeOfExpression(self: CodeGenerator, e: CodeTypeOfExpression) Generates code for the specified type of expression. e: The expression to generate code for. """ pass def GenerateTypeReferenceExpression(self, *args): #cannot find CLR method """ GenerateTypeReferenceExpression(self: CodeGenerator, e: CodeTypeReferenceExpression) Generates code for the specified type reference expression. e: The expression to generate code for. """ pass def GenerateTypes(self, *args): #cannot find CLR method """ GenerateTypes(self: CodeGenerator, e: CodeNamespace) Generates code for the specified namespace and the classes it contains. e: The namespace to generate classes for. """ pass def GenerateTypeStart(self, *args): #cannot find CLR method """ GenerateTypeStart(self: CodeGenerator, e: CodeTypeDeclaration) Generates code for the specified start of the class. e: The start of the class to generate code for. """ pass def GenerateVariableDeclarationStatement(self, *args): #cannot find CLR method """ GenerateVariableDeclarationStatement(self: CodeGenerator, e: CodeVariableDeclarationStatement) Generates code for the specified variable declaration statement. e: The statement to generate code for. """ pass def GenerateVariableReferenceExpression(self, *args): #cannot find CLR method """ GenerateVariableReferenceExpression(self: CodeGenerator, e: CodeVariableReferenceExpression) Generates code for the specified variable reference expression. e: The expression to generate code for. """ pass def GetTypeOutput(self, *args): #cannot find CLR method """ GetTypeOutput(self: CodeGenerator, value: CodeTypeReference) -> str Gets the name of the specified data type. value: The type whose name will be returned. Returns: The name of the data type reference. """ pass def IsValidIdentifier(self, *args): #cannot find CLR method """ IsValidIdentifier(self: CodeGenerator, value: str) -> bool Gets a value indicating whether the specified value is a valid identifier. value: The value to test for conflicts with valid identifiers. Returns: true if the value is a valid identifier; otherwise, false. """ pass @staticmethod def IsValidLanguageIndependentIdentifier(value): """ IsValidLanguageIndependentIdentifier(value: str) -> bool Gets a value indicating whether the specified string is a valid identifier. value: The string to test for validity. Returns: true if the specified string is a valid identifier; otherwise, false. """ pass def OutputAttributeArgument(self, *args): #cannot find CLR method """ OutputAttributeArgument(self: CodeGenerator, arg: CodeAttributeArgument) Outputs an argument in an attribute block. arg: The attribute argument to generate code for. """ pass def OutputAttributeDeclarations(self, *args): #cannot find CLR method """ OutputAttributeDeclarations(self: CodeGenerator, attributes: CodeAttributeDeclarationCollection) Generates code for the specified attribute declaration collection. attributes: The attributes to generate code for. """ pass def OutputDirection(self, *args): #cannot find CLR method """ OutputDirection(self: CodeGenerator, dir: FieldDirection) Generates code for the specified System.CodeDom.FieldDirection. dir: One of the enumeration values that indicates the attribute of the field. """ pass def OutputExpressionList(self, *args): #cannot find CLR method """ OutputExpressionList(self: CodeGenerator, expressions: CodeExpressionCollection, newlineBetweenItems: bool) Generates code for the specified expression list. expressions: The expressions to generate code for. newlineBetweenItems: true to insert a new line after each item; otherwise, false. OutputExpressionList(self: CodeGenerator, expressions: CodeExpressionCollection) Generates code for the specified expression list. expressions: The expressions to generate code for. """ pass def OutputFieldScopeModifier(self, *args): #cannot find CLR method """ OutputFieldScopeModifier(self: CodeGenerator, attributes: MemberAttributes) Outputs a field scope modifier that corresponds to the specified attributes. attributes: One of the enumeration values that specifies the attributes. """ pass def OutputIdentifier(self, *args): #cannot find CLR method """ OutputIdentifier(self: CodeGenerator, ident: str) Outputs the specified identifier. ident: The identifier to output. """ pass def OutputMemberAccessModifier(self, *args): #cannot find CLR method """ OutputMemberAccessModifier(self: CodeGenerator, attributes: MemberAttributes) Generates code for the specified member access modifier. attributes: One of the enumeration values that indicates the member access modifier to generate code for. """ pass def OutputMemberScopeModifier(self, *args): #cannot find CLR method """ OutputMemberScopeModifier(self: CodeGenerator, attributes: MemberAttributes) Generates code for the specified member scope modifier. attributes: One of the enumeration values that indicates the member scope modifier to generate code for. """ pass def OutputOperator(self, *args): #cannot find CLR method """ OutputOperator(self: CodeGenerator, op: CodeBinaryOperatorType) Generates code for the specified operator. op: The operator to generate code for. """ pass def OutputParameters(self, *args): #cannot find CLR method """ OutputParameters(self: CodeGenerator, parameters: CodeParameterDeclarationExpressionCollection) Generates code for the specified parameters. parameters: The parameter declaration expressions to generate code for. """ pass def OutputType(self, *args): #cannot find CLR method """ OutputType(self: CodeGenerator, typeRef: CodeTypeReference) Generates code for the specified type. typeRef: The type to generate code for. """ pass def OutputTypeAttributes(self, *args): #cannot find CLR method """ OutputTypeAttributes(self: CodeGenerator, attributes: TypeAttributes, isStruct: bool, isEnum: bool) Generates code for the specified type attributes. attributes: One of the enumeration values that indicates the type attributes to generate code for. isStruct: true if the type is a struct; otherwise, false. isEnum: true if the type is an enum; otherwise, false. """ pass def OutputTypeNamePair(self, *args): #cannot find CLR method """ OutputTypeNamePair(self: CodeGenerator, typeRef: CodeTypeReference, name: str) Generates code for the specified object type and name pair. typeRef: The type. name: The name for the object. """ pass def QuoteSnippetString(self, *args): #cannot find CLR method """ QuoteSnippetString(self: CodeGenerator, value: str) -> str Converts the specified string by formatting it with escape codes. value: The string to convert. Returns: The converted string. """ pass def Supports(self, *args): #cannot find CLR method """ Supports(self: CodeGenerator, support: GeneratorSupport) -> bool Gets a value indicating whether the specified code generation support is provided. support: The type of code generation support to test for. Returns: true if the specified code generation support is provided; otherwise, false. """ pass def ValidateIdentifier(self, *args): #cannot find CLR method """ ValidateIdentifier(self: CodeGenerator, value: str) Throws an exception if the specified string is not a valid identifier. value: The identifier to test for validity as an identifier. """ pass @staticmethod def ValidateIdentifiers(e): """ ValidateIdentifiers(e: CodeObject) Attempts to validate each identifier field contained in the specified System.CodeDom.CodeObject or System.CodeDom tree. e: An object to test for invalid identifiers. """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass def __repr__(self, *args): #cannot find CLR method """ __repr__(self: object) -> str """ pass CurrentClass = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets the code type declaration for the current class. """ CurrentMember = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets the current member of the class. """ CurrentMemberName = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets the current member name. """ CurrentTypeName = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets the current class name. """ Indent = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets or sets the amount of spaces to indent each indentation level. """ IsCurrentClass = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets a value indicating whether the current object being generated is a class. """ IsCurrentDelegate = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets a value indicating whether the current object being generated is a delegate. """ IsCurrentEnum = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets a value indicating whether the current object being generated is an enumeration. """ IsCurrentInterface = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets a value indicating whether the current object being generated is an interface. """ IsCurrentStruct = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets a value indicating whether the current object being generated is a value type or struct. """ NullToken = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets the token that represents null. """ Options = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets the options to be used by the code generator. """ Output = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets the text writer to use for output. """ class ICodeCompiler: """ Defines an interface for invoking compilation of source code or a CodeDOM tree using a specific compiler. """ def CompileAssemblyFromDom(self, options, compilationUnit): """ CompileAssemblyFromDom(self: ICodeCompiler, options: CompilerParameters, compilationUnit: CodeCompileUnit) -> CompilerResults Compiles an assembly from the System.CodeDom tree contained in the specified System.CodeDom.CodeCompileUnit, using the specified compiler settings. options: A System.CodeDom.Compiler.CompilerParameters object that indicates the settings for compilation. compilationUnit: A System.CodeDom.CodeCompileUnit that indicates the code to compile. Returns: A System.CodeDom.Compiler.CompilerResults object that indicates the results of compilation. """ pass def CompileAssemblyFromDomBatch(self, options, compilationUnits): """ CompileAssemblyFromDomBatch(self: ICodeCompiler, options: CompilerParameters, compilationUnits: Array[CodeCompileUnit]) -> CompilerResults Compiles an assembly based on the System.CodeDom trees contained in the specified array of System.CodeDom.CodeCompileUnit objects, using the specified compiler settings. options: A System.CodeDom.Compiler.CompilerParameters object that indicates the settings for compilation. compilationUnits: An array of type System.CodeDom.CodeCompileUnit that indicates the code to compile. Returns: A System.CodeDom.Compiler.CompilerResults object that indicates the results of compilation. """ pass def CompileAssemblyFromFile(self, options, fileName): """ CompileAssemblyFromFile(self: ICodeCompiler, options: CompilerParameters, fileName: str) -> CompilerResults Compiles an assembly from the source code contained within the specified file, using the specified compiler settings. options: A System.CodeDom.Compiler.CompilerParameters object that indicates the settings for compilation. fileName: The file name of the file that contains the source code to compile. Returns: A System.CodeDom.Compiler.CompilerResults object that indicates the results of compilation. """ pass def CompileAssemblyFromFileBatch(self, options, fileNames): """ CompileAssemblyFromFileBatch(self: ICodeCompiler, options: CompilerParameters, fileNames: Array[str]) -> CompilerResults Compiles an assembly from the source code contained within the specified files, using the specified compiler settings. options: A System.CodeDom.Compiler.CompilerParameters object that indicates the settings for compilation. fileNames: The file names of the files to compile. Returns: A System.CodeDom.Compiler.CompilerResults object that indicates the results of compilation. """ pass def CompileAssemblyFromSource(self, options, source): """ CompileAssemblyFromSource(self: ICodeCompiler, options: CompilerParameters, source: str) -> CompilerResults Compiles an assembly from the specified string containing source code, using the specified compiler settings. options: A System.CodeDom.Compiler.CompilerParameters object that indicates the settings for compilation. source: The source code to compile. Returns: A System.CodeDom.Compiler.CompilerResults object that indicates the results of compilation. """ pass def CompileAssemblyFromSourceBatch(self, options, sources): """ CompileAssemblyFromSourceBatch(self: ICodeCompiler, options: CompilerParameters, sources: Array[str]) -> CompilerResults Compiles an assembly from the specified array of strings containing source code, using the specified compiler settings. options: A System.CodeDom.Compiler.CompilerParameters object that indicates the settings for compilation. sources: The source code strings to compile. Returns: A System.CodeDom.Compiler.CompilerResults object that indicates the results of compilation. """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass class CodeCompiler(CodeGenerator, ICodeGenerator, ICodeCompiler): """ Provides an example implementation of the System.CodeDom.Compiler.ICodeCompiler interface. """ def CmdArgsFromParameters(self, *args): #cannot find CLR method """ CmdArgsFromParameters(self: CodeCompiler, options: CompilerParameters) -> str Gets the command arguments to be passed to the compiler from the specified System.CodeDom.Compiler.CompilerParameters. options: A System.CodeDom.Compiler.CompilerParameters that indicates the compiler options. Returns: The command arguments. """ pass def ContinueOnNewLine(self, *args): #cannot find CLR method """ ContinueOnNewLine(self: CodeGenerator, st: str) Generates a line-continuation character and outputs the specified string on a new line. st: The string to write on the new line. """ pass def CreateEscapedIdentifier(self, *args): #cannot find CLR method """ CreateEscapedIdentifier(self: CodeGenerator, value: str) -> str Creates an escaped identifier for the specified value. value: The string to create an escaped identifier for. Returns: The escaped identifier for the value. """ pass def CreateValidIdentifier(self, *args): #cannot find CLR method """ CreateValidIdentifier(self: CodeGenerator, value: str) -> str Creates a valid identifier for the specified value. value: A string to create a valid identifier for. Returns: A valid identifier for the value. """ pass def FromDom(self, *args): #cannot find CLR method """ FromDom(self: CodeCompiler, options: CompilerParameters, e: CodeCompileUnit) -> CompilerResults Compiles the specified compile unit using the specified options, and returns the results from the compilation. options: A System.CodeDom.Compiler.CompilerParameters object that indicates the compiler options. e: A System.CodeDom.CodeCompileUnit object that indicates the source to compile. Returns: The results of compilation. """ pass def FromDomBatch(self, *args): #cannot find CLR method """ FromDomBatch(self: CodeCompiler, options: CompilerParameters, ea: Array[CodeCompileUnit]) -> CompilerResults Compiles the specified compile units using the specified options, and returns the results from the compilation. options: A System.CodeDom.Compiler.CompilerParameters object that indicates the compiler options. ea: An array of System.CodeDom.CodeCompileUnit objects that indicates the source to compile. Returns: The results of compilation. """ pass def FromFile(self, *args): #cannot find CLR method """ FromFile(self: CodeCompiler, options: CompilerParameters, fileName: str) -> CompilerResults Compiles the specified file using the specified options, and returns the results from the compilation. options: A System.CodeDom.Compiler.CompilerParameters object that indicates the compiler options. fileName: The file name to compile. Returns: The results of compilation. """ pass def FromFileBatch(self, *args): #cannot find CLR method """ FromFileBatch(self: CodeCompiler, options: CompilerParameters, fileNames: Array[str]) -> CompilerResults Compiles the specified files using the specified options, and returns the results from the compilation. options: A System.CodeDom.Compiler.CompilerParameters object that indicates the compiler options. fileNames: An array of strings that indicates the file names of the files to compile. Returns: The results of compilation. """ pass def FromSource(self, *args): #cannot find CLR method """ FromSource(self: CodeCompiler, options: CompilerParameters, source: str) -> CompilerResults Compiles the specified source code string using the specified options, and returns the results from the compilation. options: A System.CodeDom.Compiler.CompilerParameters object that indicates the compiler options. source: The source code string to compile. Returns: The results of compilation. """ pass def FromSourceBatch(self, *args): #cannot find CLR method """ FromSourceBatch(self: CodeCompiler, options: CompilerParameters, sources: Array[str]) -> CompilerResults Compiles the specified source code strings using the specified options, and returns the results from the compilation. options: A System.CodeDom.Compiler.CompilerParameters object that indicates the compiler options. sources: An array of strings containing the source code to compile. Returns: The results of compilation. """ pass def GenerateArgumentReferenceExpression(self, *args): #cannot find CLR method """ GenerateArgumentReferenceExpression(self: CodeGenerator, e: CodeArgumentReferenceExpression) Generates code for the specified argument reference expression. e: A System.CodeDom.CodeArgumentReferenceExpression that indicates the expression to generate code for. """ pass def GenerateArrayCreateExpression(self, *args): #cannot find CLR method """ GenerateArrayCreateExpression(self: CodeGenerator, e: CodeArrayCreateExpression) Generates code for the specified array creation expression. e: A System.CodeDom.CodeArrayCreateExpression that indicates the expression to generate code for. """ pass def GenerateArrayIndexerExpression(self, *args): #cannot find CLR method """ GenerateArrayIndexerExpression(self: CodeGenerator, e: CodeArrayIndexerExpression) Generates code for the specified array indexer expression. e: A System.CodeDom.CodeArrayIndexerExpression that indicates the expression to generate code for. """ pass def GenerateAssignStatement(self, *args): #cannot find CLR method """ GenerateAssignStatement(self: CodeGenerator, e: CodeAssignStatement) Generates code for the specified assignment statement. e: A System.CodeDom.CodeAssignStatement that indicates the statement to generate code for. """ pass def GenerateAttachEventStatement(self, *args): #cannot find CLR method """ GenerateAttachEventStatement(self: CodeGenerator, e: CodeAttachEventStatement) Generates code for the specified attach event statement. e: A System.CodeDom.CodeAttachEventStatement that indicates the statement to generate code for. """ pass def GenerateAttributeDeclarationsEnd(self, *args): #cannot find CLR method """ GenerateAttributeDeclarationsEnd(self: CodeGenerator, attributes: CodeAttributeDeclarationCollection) Generates code for the specified attribute block end. attributes: A System.CodeDom.CodeAttributeDeclarationCollection that indicates the end of the attribute block to generate code for. """ pass def GenerateAttributeDeclarationsStart(self, *args): #cannot find CLR method """ GenerateAttributeDeclarationsStart(self: CodeGenerator, attributes: CodeAttributeDeclarationCollection) Generates code for the specified attribute block start. attributes: A System.CodeDom.CodeAttributeDeclarationCollection that indicates the start of the attribute block to generate code for. """ pass def GenerateBaseReferenceExpression(self, *args): #cannot find CLR method """ GenerateBaseReferenceExpression(self: CodeGenerator, e: CodeBaseReferenceExpression) Generates code for the specified base reference expression. e: A System.CodeDom.CodeBaseReferenceExpression that indicates the expression to generate code for. """ pass def GenerateBinaryOperatorExpression(self, *args): #cannot find CLR method """ GenerateBinaryOperatorExpression(self: CodeGenerator, e: CodeBinaryOperatorExpression) Generates code for the specified binary operator expression. e: A System.CodeDom.CodeBinaryOperatorExpression that indicates the expression to generate code for. """ pass def GenerateCastExpression(self, *args): #cannot find CLR method """ GenerateCastExpression(self: CodeGenerator, e: CodeCastExpression) Generates code for the specified cast expression. e: A System.CodeDom.CodeCastExpression that indicates the expression to generate code for. """ pass def GenerateComment(self, *args): #cannot find CLR method """ GenerateComment(self: CodeGenerator, e: CodeComment) Generates code for the specified comment. e: A System.CodeDom.CodeComment to generate code for. """ pass def GenerateCommentStatement(self, *args): #cannot find CLR method """ GenerateCommentStatement(self: CodeGenerator, e: CodeCommentStatement) Generates code for the specified comment statement. e: The statement to generate code for. """ pass def GenerateCommentStatements(self, *args): #cannot find CLR method """ GenerateCommentStatements(self: CodeGenerator, e: CodeCommentStatementCollection) Generates code for the specified comment statements. e: The expression to generate code for. """ pass def GenerateCompileUnit(self, *args): #cannot find CLR method """ GenerateCompileUnit(self: CodeGenerator, e: CodeCompileUnit) Generates code for the specified compile unit. e: The compile unit to generate code for. """ pass def GenerateCompileUnitEnd(self, *args): #cannot find CLR method """ GenerateCompileUnitEnd(self: CodeGenerator, e: CodeCompileUnit) Generates code for the end of a compile unit. e: The compile unit to generate code for. """ pass def GenerateCompileUnitStart(self, *args): #cannot find CLR method """ GenerateCompileUnitStart(self: CodeGenerator, e: CodeCompileUnit) Generates code for the start of a compile unit. e: The compile unit to generate code for. """ pass def GenerateConditionStatement(self, *args): #cannot find CLR method """ GenerateConditionStatement(self: CodeGenerator, e: CodeConditionStatement) Generates code for the specified conditional statement. e: The statement to generate code for. """ pass def GenerateConstructor(self, *args): #cannot find CLR method """ GenerateConstructor(self: CodeGenerator, e: CodeConstructor, c: CodeTypeDeclaration) Generates code for the specified constructor. e: The constructor to generate code for. c: The type of the object that this constructor constructs. """ pass def GenerateDecimalValue(self, *args): #cannot find CLR method """ GenerateDecimalValue(self: CodeGenerator, d: Decimal) Generates code for the specified decimal value. d: The decimal value to generate code for. """ pass def GenerateDefaultValueExpression(self, *args): #cannot find CLR method """ GenerateDefaultValueExpression(self: CodeGenerator, e: CodeDefaultValueExpression) Generates code for the specified reference to a default value. e: The reference to generate code for. """ pass def GenerateDelegateCreateExpression(self, *args): #cannot find CLR method """ GenerateDelegateCreateExpression(self: CodeGenerator, e: CodeDelegateCreateExpression) Generates code for the specified delegate creation expression. e: The expression to generate code for. """ pass def GenerateDelegateInvokeExpression(self, *args): #cannot find CLR method """ GenerateDelegateInvokeExpression(self: CodeGenerator, e: CodeDelegateInvokeExpression) Generates code for the specified delegate invoke expression. e: The expression to generate code for. """ pass def GenerateDirectionExpression(self, *args): #cannot find CLR method """ GenerateDirectionExpression(self: CodeGenerator, e: CodeDirectionExpression) Generates code for the specified direction expression. e: The expression to generate code for. """ pass def GenerateDirectives(self, *args): #cannot find CLR method """ GenerateDirectives(self: CodeGenerator, directives: CodeDirectiveCollection) Generates code for the specified code directives. directives: The code directives to generate code for. """ pass def GenerateDoubleValue(self, *args): #cannot find CLR method """ GenerateDoubleValue(self: CodeGenerator, d: float) Generates code for a double-precision floating point number. d: The value to generate code for. """ pass def GenerateEntryPointMethod(self, *args): #cannot find CLR method """ GenerateEntryPointMethod(self: CodeGenerator, e: CodeEntryPointMethod, c: CodeTypeDeclaration) Generates code for the specified entry point method. e: The entry point for the code. c: The code that declares the type. """ pass def GenerateEvent(self, *args): #cannot find CLR method """ GenerateEvent(self: CodeGenerator, e: CodeMemberEvent, c: CodeTypeDeclaration) Generates code for the specified event. e: The member event to generate code for. c: The type of the object that this event occurs on. """ pass def GenerateEventReferenceExpression(self, *args): #cannot find CLR method """ GenerateEventReferenceExpression(self: CodeGenerator, e: CodeEventReferenceExpression) Generates code for the specified event reference expression. e: The expression to generate code for. """ pass def GenerateExpression(self, *args): #cannot find CLR method """ GenerateExpression(self: CodeGenerator, e: CodeExpression) Generates code for the specified code expression. e: The code expression to generate code for. """ pass def GenerateExpressionStatement(self, *args): #cannot find CLR method """ GenerateExpressionStatement(self: CodeGenerator, e: CodeExpressionStatement) Generates code for the specified expression statement. e: The statement to generate code for. """ pass def GenerateField(self, *args): #cannot find CLR method """ GenerateField(self: CodeGenerator, e: CodeMemberField) Generates code for the specified member field. e: The field to generate code for. """ pass def GenerateFieldReferenceExpression(self, *args): #cannot find CLR method """ GenerateFieldReferenceExpression(self: CodeGenerator, e: CodeFieldReferenceExpression) Generates code for the specified field reference expression. e: The expression to generate code for. """ pass def GenerateGotoStatement(self, *args): #cannot find CLR method """ GenerateGotoStatement(self: CodeGenerator, e: CodeGotoStatement) Generates code for the specified goto statement. e: The expression to generate code for. """ pass def GenerateIndexerExpression(self, *args): #cannot find CLR method """ GenerateIndexerExpression(self: CodeGenerator, e: CodeIndexerExpression) Generates code for the specified indexer expression. e: The expression to generate code for. """ pass def GenerateIterationStatement(self, *args): #cannot find CLR method """ GenerateIterationStatement(self: CodeGenerator, e: CodeIterationStatement) Generates code for the specified iteration statement. e: The statement to generate code for. """ pass def GenerateLabeledStatement(self, *args): #cannot find CLR method """ GenerateLabeledStatement(self: CodeGenerator, e: CodeLabeledStatement) Generates code for the specified labeled statement. e: The statement to generate code for. """ pass def GenerateLinePragmaEnd(self, *args): #cannot find CLR method """ GenerateLinePragmaEnd(self: CodeGenerator, e: CodeLinePragma) Generates code for the specified line pragma end. e: The end of the line pragma to generate code for. """ pass def GenerateLinePragmaStart(self, *args): #cannot find CLR method """ GenerateLinePragmaStart(self: CodeGenerator, e: CodeLinePragma) Generates code for the specified line pragma start. e: The start of the line pragma to generate code for. """ pass def GenerateMethod(self, *args): #cannot find CLR method """ GenerateMethod(self: CodeGenerator, e: CodeMemberMethod, c: CodeTypeDeclaration) Generates code for the specified method. e: The member method to generate code for. c: The type of the object that this method occurs on. """ pass def GenerateMethodInvokeExpression(self, *args): #cannot find CLR method """ GenerateMethodInvokeExpression(self: CodeGenerator, e: CodeMethodInvokeExpression) Generates code for the specified method invoke expression. e: The expression to generate code for. """ pass def GenerateMethodReferenceExpression(self, *args): #cannot find CLR method """ GenerateMethodReferenceExpression(self: CodeGenerator, e: CodeMethodReferenceExpression) Generates code for the specified method reference expression. e: The expression to generate code for. """ pass def GenerateMethodReturnStatement(self, *args): #cannot find CLR method """ GenerateMethodReturnStatement(self: CodeGenerator, e: CodeMethodReturnStatement) Generates code for the specified method return statement. e: The statement to generate code for. """ pass def GenerateNamespace(self, *args): #cannot find CLR method """ GenerateNamespace(self: CodeGenerator, e: CodeNamespace) Generates code for the specified namespace. e: The namespace to generate code for. """ pass def GenerateNamespaceEnd(self, *args): #cannot find CLR method """ GenerateNamespaceEnd(self: CodeGenerator, e: CodeNamespace) Generates code for the end of a namespace. e: The namespace to generate code for. """ pass def GenerateNamespaceImport(self, *args): #cannot find CLR method """ GenerateNamespaceImport(self: CodeGenerator, e: CodeNamespaceImport) Generates code for the specified namespace import. e: The namespace import to generate code for. """ pass def GenerateNamespaceImports(self, *args): #cannot find CLR method """ GenerateNamespaceImports(self: CodeGenerator, e: CodeNamespace) Generates code for the specified namespace import. e: The namespace import to generate code for. """ pass def GenerateNamespaces(self, *args): #cannot find CLR method """ GenerateNamespaces(self: CodeGenerator, e: CodeCompileUnit) Generates code for the namespaces in the specified compile unit. e: The compile unit to generate namespaces for. """ pass def GenerateNamespaceStart(self, *args): #cannot find CLR method """ GenerateNamespaceStart(self: CodeGenerator, e: CodeNamespace) Generates code for the start of a namespace. e: The namespace to generate code for. """ pass def GenerateObjectCreateExpression(self, *args): #cannot find CLR method """ GenerateObjectCreateExpression(self: CodeGenerator, e: CodeObjectCreateExpression) Generates code for the specified object creation expression. e: The expression to generate code for. """ pass def GenerateParameterDeclarationExpression(self, *args): #cannot find CLR method """ GenerateParameterDeclarationExpression(self: CodeGenerator, e: CodeParameterDeclarationExpression) Generates code for the specified parameter declaration expression. e: The expression to generate code for. """ pass def GeneratePrimitiveExpression(self, *args): #cannot find CLR method """ GeneratePrimitiveExpression(self: CodeGenerator, e: CodePrimitiveExpression) Generates code for the specified primitive expression. e: The expression to generate code for. """ pass def GenerateProperty(self, *args): #cannot find CLR method """ GenerateProperty(self: CodeGenerator, e: CodeMemberProperty, c: CodeTypeDeclaration) Generates code for the specified property. e: The property to generate code for. c: The type of the object that this property occurs on. """ pass def GeneratePropertyReferenceExpression(self, *args): #cannot find CLR method """ GeneratePropertyReferenceExpression(self: CodeGenerator, e: CodePropertyReferenceExpression) Generates code for the specified property reference expression. e: The expression to generate code for. """ pass def GeneratePropertySetValueReferenceExpression(self, *args): #cannot find CLR method """ GeneratePropertySetValueReferenceExpression(self: CodeGenerator, e: CodePropertySetValueReferenceExpression) Generates code for the specified property set value reference expression. e: The expression to generate code for. """ pass def GenerateRemoveEventStatement(self, *args): #cannot find CLR method """ GenerateRemoveEventStatement(self: CodeGenerator, e: CodeRemoveEventStatement) Generates code for the specified remove event statement. e: The statement to generate code for. """ pass def GenerateSingleFloatValue(self, *args): #cannot find CLR method """ GenerateSingleFloatValue(self: CodeGenerator, s: Single) Generates code for a single-precision floating point number. s: The value to generate code for. """ pass def GenerateSnippetCompileUnit(self, *args): #cannot find CLR method """ GenerateSnippetCompileUnit(self: CodeGenerator, e: CodeSnippetCompileUnit) Outputs the code of the specified literal code fragment compile unit. e: The literal code fragment compile unit to generate code for. """ pass def GenerateSnippetExpression(self, *args): #cannot find CLR method """ GenerateSnippetExpression(self: CodeGenerator, e: CodeSnippetExpression) Outputs the code of the specified literal code fragment expression. e: The expression to generate code for. """ pass def GenerateSnippetMember(self, *args): #cannot find CLR method """ GenerateSnippetMember(self: CodeGenerator, e: CodeSnippetTypeMember) Outputs the code of the specified literal code fragment class member. e: The member to generate code for. """ pass def GenerateSnippetStatement(self, *args): #cannot find CLR method """ GenerateSnippetStatement(self: CodeGenerator, e: CodeSnippetStatement) Outputs the code of the specified literal code fragment statement. e: The statement to generate code for. """ pass def GenerateStatement(self, *args): #cannot find CLR method """ GenerateStatement(self: CodeGenerator, e: CodeStatement) Generates code for the specified statement. e: The statement to generate code for. """ pass def GenerateStatements(self, *args): #cannot find CLR method """ GenerateStatements(self: CodeGenerator, stms: CodeStatementCollection) Generates code for the specified statement collection. stms: The statements to generate code for. """ pass def GenerateThisReferenceExpression(self, *args): #cannot find CLR method """ GenerateThisReferenceExpression(self: CodeGenerator, e: CodeThisReferenceExpression) Generates code for the specified this reference expression. e: The expression to generate code for. """ pass def GenerateThrowExceptionStatement(self, *args): #cannot find CLR method """ GenerateThrowExceptionStatement(self: CodeGenerator, e: CodeThrowExceptionStatement) Generates code for the specified throw exception statement. e: The statement to generate code for. """ pass def GenerateTryCatchFinallyStatement(self, *args): #cannot find CLR method """ GenerateTryCatchFinallyStatement(self: CodeGenerator, e: CodeTryCatchFinallyStatement) Generates code for the specified try...catch...finally statement. e: The statement to generate code for. """ pass def GenerateTypeConstructor(self, *args): #cannot find CLR method """ GenerateTypeConstructor(self: CodeGenerator, e: CodeTypeConstructor) Generates code for the specified class constructor. e: The class constructor to generate code for. """ pass def GenerateTypeEnd(self, *args): #cannot find CLR method """ GenerateTypeEnd(self: CodeGenerator, e: CodeTypeDeclaration) Generates code for the specified end of the class. e: The end of the class to generate code for. """ pass def GenerateTypeOfExpression(self, *args): #cannot find CLR method """ GenerateTypeOfExpression(self: CodeGenerator, e: CodeTypeOfExpression) Generates code for the specified type of expression. e: The expression to generate code for. """ pass def GenerateTypeReferenceExpression(self, *args): #cannot find CLR method """ GenerateTypeReferenceExpression(self: CodeGenerator, e: CodeTypeReferenceExpression) Generates code for the specified type reference expression. e: The expression to generate code for. """ pass def GenerateTypes(self, *args): #cannot find CLR method """ GenerateTypes(self: CodeGenerator, e: CodeNamespace) Generates code for the specified namespace and the classes it contains. e: The namespace to generate classes for. """ pass def GenerateTypeStart(self, *args): #cannot find CLR method """ GenerateTypeStart(self: CodeGenerator, e: CodeTypeDeclaration) Generates code for the specified start of the class. e: The start of the class to generate code for. """ pass def GenerateVariableDeclarationStatement(self, *args): #cannot find CLR method """ GenerateVariableDeclarationStatement(self: CodeGenerator, e: CodeVariableDeclarationStatement) Generates code for the specified variable declaration statement. e: The statement to generate code for. """ pass def GenerateVariableReferenceExpression(self, *args): #cannot find CLR method """ GenerateVariableReferenceExpression(self: CodeGenerator, e: CodeVariableReferenceExpression) Generates code for the specified variable reference expression. e: The expression to generate code for. """ pass def GetResponseFileCmdArgs(self, *args): #cannot find CLR method """ GetResponseFileCmdArgs(self: CodeCompiler, options: CompilerParameters, cmdArgs: str) -> str Gets the command arguments to use when invoking the compiler to generate a response file. options: A System.CodeDom.Compiler.CompilerParameters object that indicates the compiler options. cmdArgs: A command arguments string. Returns: The command arguments to use to generate a response file, or null if there are no response file arguments. """ pass def GetTypeOutput(self, *args): #cannot find CLR method """ GetTypeOutput(self: CodeGenerator, value: CodeTypeReference) -> str Gets the name of the specified data type. value: The type whose name will be returned. Returns: The name of the data type reference. """ pass def IsValidIdentifier(self, *args): #cannot find CLR method """ IsValidIdentifier(self: CodeGenerator, value: str) -> bool Gets a value indicating whether the specified value is a valid identifier. value: The value to test for conflicts with valid identifiers. Returns: true if the value is a valid identifier; otherwise, false. """ pass def JoinStringArray(self, *args): #cannot find CLR method """ JoinStringArray(sa: Array[str], separator: str) -> str Joins the specified string arrays. sa: The array of strings to join. separator: The separator to use. Returns: The concatenated string. """ pass def OutputAttributeArgument(self, *args): #cannot find CLR method """ OutputAttributeArgument(self: CodeGenerator, arg: CodeAttributeArgument) Outputs an argument in an attribute block. arg: The attribute argument to generate code for. """ pass def OutputAttributeDeclarations(self, *args): #cannot find CLR method """ OutputAttributeDeclarations(self: CodeGenerator, attributes: CodeAttributeDeclarationCollection) Generates code for the specified attribute declaration collection. attributes: The attributes to generate code for. """ pass def OutputDirection(self, *args): #cannot find CLR method """ OutputDirection(self: CodeGenerator, dir: FieldDirection) Generates code for the specified System.CodeDom.FieldDirection. dir: One of the enumeration values that indicates the attribute of the field. """ pass def OutputExpressionList(self, *args): #cannot find CLR method """ OutputExpressionList(self: CodeGenerator, expressions: CodeExpressionCollection, newlineBetweenItems: bool) Generates code for the specified expression list. expressions: The expressions to generate code for. newlineBetweenItems: true to insert a new line after each item; otherwise, false. OutputExpressionList(self: CodeGenerator, expressions: CodeExpressionCollection) Generates code for the specified expression list. expressions: The expressions to generate code for. """ pass def OutputFieldScopeModifier(self, *args): #cannot find CLR method """ OutputFieldScopeModifier(self: CodeGenerator, attributes: MemberAttributes) Outputs a field scope modifier that corresponds to the specified attributes. attributes: One of the enumeration values that specifies the attributes. """ pass def OutputIdentifier(self, *args): #cannot find CLR method """ OutputIdentifier(self: CodeGenerator, ident: str) Outputs the specified identifier. ident: The identifier to output. """ pass def OutputMemberAccessModifier(self, *args): #cannot find CLR method """ OutputMemberAccessModifier(self: CodeGenerator, attributes: MemberAttributes) Generates code for the specified member access modifier. attributes: One of the enumeration values that indicates the member access modifier to generate code for. """ pass def OutputMemberScopeModifier(self, *args): #cannot find CLR method """ OutputMemberScopeModifier(self: CodeGenerator, attributes: MemberAttributes) Generates code for the specified member scope modifier. attributes: One of the enumeration values that indicates the member scope modifier to generate code for. """ pass def OutputOperator(self, *args): #cannot find CLR method """ OutputOperator(self: CodeGenerator, op: CodeBinaryOperatorType) Generates code for the specified operator. op: The operator to generate code for. """ pass def OutputParameters(self, *args): #cannot find CLR method """ OutputParameters(self: CodeGenerator, parameters: CodeParameterDeclarationExpressionCollection) Generates code for the specified parameters. parameters: The parameter declaration expressions to generate code for. """ pass def OutputType(self, *args): #cannot find CLR method """ OutputType(self: CodeGenerator, typeRef: CodeTypeReference) Generates code for the specified type. typeRef: The type to generate code for. """ pass def OutputTypeAttributes(self, *args): #cannot find CLR method """ OutputTypeAttributes(self: CodeGenerator, attributes: TypeAttributes, isStruct: bool, isEnum: bool) Generates code for the specified type attributes. attributes: One of the enumeration values that indicates the type attributes to generate code for. isStruct: true if the type is a struct; otherwise, false. isEnum: true if the type is an enum; otherwise, false. """ pass def OutputTypeNamePair(self, *args): #cannot find CLR method """ OutputTypeNamePair(self: CodeGenerator, typeRef: CodeTypeReference, name: str) Generates code for the specified object type and name pair. typeRef: The type. name: The name for the object. """ pass def ProcessCompilerOutputLine(self, *args): #cannot find CLR method """ ProcessCompilerOutputLine(self: CodeCompiler, results: CompilerResults, line: str) Processes the specified line from the specified System.CodeDom.Compiler.CompilerResults. results: A System.CodeDom.Compiler.CompilerResults that indicates the results of compilation. line: The line to process. """ pass def QuoteSnippetString(self, *args): #cannot find CLR method """ QuoteSnippetString(self: CodeGenerator, value: str) -> str Converts the specified string by formatting it with escape codes. value: The string to convert. Returns: The converted string. """ pass def Supports(self, *args): #cannot find CLR method """ Supports(self: CodeGenerator, support: GeneratorSupport) -> bool Gets a value indicating whether the specified code generation support is provided. support: The type of code generation support to test for. Returns: true if the specified code generation support is provided; otherwise, false. """ pass def ValidateIdentifier(self, *args): #cannot find CLR method """ ValidateIdentifier(self: CodeGenerator, value: str) Throws an exception if the specified string is not a valid identifier. value: The identifier to test for validity as an identifier. """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass CompilerName = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets the name of the compiler executable. """ CurrentClass = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets the code type declaration for the current class. """ CurrentMember = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets the current member of the class. """ CurrentMemberName = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets the current member name. """ CurrentTypeName = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets the current class name. """ FileExtension = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets the file name extension to use for source files. """ Indent = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets or sets the amount of spaces to indent each indentation level. """ IsCurrentClass = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets a value indicating whether the current object being generated is a class. """ IsCurrentDelegate = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets a value indicating whether the current object being generated is a delegate. """ IsCurrentEnum = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets a value indicating whether the current object being generated is an enumeration. """ IsCurrentInterface = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets a value indicating whether the current object being generated is an interface. """ IsCurrentStruct = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets a value indicating whether the current object being generated is a value type or struct. """ NullToken = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets the token that represents null. """ Options = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets the options to be used by the code generator. """ Output = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets the text writer to use for output. """ class CodeDomProvider(Component, IComponent, IDisposable): """ Provides a base class for System.CodeDom.Compiler.CodeDomProvider implementations. This class is abstract. """ def CompileAssemblyFromDom(self, options, compilationUnits): """ CompileAssemblyFromDom(self: CodeDomProvider, options: CompilerParameters, *compilationUnits: Array[CodeCompileUnit]) -> CompilerResults Compiles an assembly based on the System.CodeDom trees contained in the specified array of System.CodeDom.CodeCompileUnit objects, using the specified compiler settings. options: A System.CodeDom.Compiler.CompilerParameters object that indicates the settings for the compilation. compilationUnits: An array of type System.CodeDom.CodeCompileUnit that indicates the code to compile. Returns: A System.CodeDom.Compiler.CompilerResults object that indicates the results of the compilation. """ pass def CompileAssemblyFromFile(self, options, fileNames): """ CompileAssemblyFromFile(self: CodeDomProvider, options: CompilerParameters, *fileNames: Array[str]) -> CompilerResults Compiles an assembly from the source code contained in the specified files, using the specified compiler settings. options: A System.CodeDom.Compiler.CompilerParameters object that indicates the settings for the compilation. fileNames: An array of the names of the files to compile. Returns: A System.CodeDom.Compiler.CompilerResults object that indicates the results of compilation. """ pass def CompileAssemblyFromSource(self, options, sources): """ CompileAssemblyFromSource(self: CodeDomProvider, options: CompilerParameters, *sources: Array[str]) -> CompilerResults Compiles an assembly from the specified array of strings containing source code, using the specified compiler settings. options: A System.CodeDom.Compiler.CompilerParameters object that indicates the compiler settings for this compilation. sources: An array of source code strings to compile. Returns: A System.CodeDom.Compiler.CompilerResults object that indicates the results of compilation. """ pass def CreateCompiler(self): """ CreateCompiler(self: CodeDomProvider) -> ICodeCompiler When overridden in a derived class, creates a new code compiler. Returns: An System.CodeDom.Compiler.ICodeCompiler that can be used for compilation of System.CodeDom based source code representations. """ pass def CreateEscapedIdentifier(self, value): """ CreateEscapedIdentifier(self: CodeDomProvider, value: str) -> str Creates an escaped identifier for the specified value. value: The string for which to create an escaped identifier. Returns: The escaped identifier for the value. """ pass def CreateGenerator(self, *__args): """ CreateGenerator(self: CodeDomProvider, fileName: str) -> ICodeGenerator When overridden in a derived class, creates a new code generator using the specified file name for output. fileName: The file name to output to. Returns: An System.CodeDom.Compiler.ICodeGenerator that can be used to generate System.CodeDom based source code representations. CreateGenerator(self: CodeDomProvider, output: TextWriter) -> ICodeGenerator When overridden in a derived class, creates a new code generator using the specified System.IO.TextWriter for output. output: A System.IO.TextWriter to use to output. Returns: An System.CodeDom.Compiler.ICodeGenerator that can be used to generate System.CodeDom based source code representations. CreateGenerator(self: CodeDomProvider) -> ICodeGenerator When overridden in a derived class, creates a new code generator. Returns: An System.CodeDom.Compiler.ICodeGenerator that can be used to generate System.CodeDom based source code representations. """ pass def CreateParser(self): """ CreateParser(self: CodeDomProvider) -> ICodeParser When overridden in a derived class, creates a new code parser. Returns: An System.CodeDom.Compiler.ICodeParser that can be used to parse source code. The base implementation always returns null. """ pass @staticmethod def CreateProvider(language, providerOptions=None): """ CreateProvider(language: str) -> CodeDomProvider Gets a System.CodeDom.Compiler.CodeDomProvider instance for the specified language. language: The language name. Returns: A CodeDOM provider that is implemented for the specified language name. CreateProvider(language: str, providerOptions: IDictionary[str, str]) -> CodeDomProvider """ pass def CreateValidIdentifier(self, value): """ CreateValidIdentifier(self: CodeDomProvider, value: str) -> str Creates a valid identifier for the specified value. value: The string for which to generate a valid identifier. Returns: A valid identifier for the specified value. """ pass def Dispose(self): """ Dispose(self: Component, disposing: bool) Releases the unmanaged resources used by the System.ComponentModel.Component and optionally releases the managed resources. disposing: true to release both managed and unmanaged resources; false to release only unmanaged resources. """ pass def GenerateCodeFromCompileUnit(self, compileUnit, writer, options): """ GenerateCodeFromCompileUnit(self: CodeDomProvider, compileUnit: CodeCompileUnit, writer: TextWriter, options: CodeGeneratorOptions) Generates code for the specified Code Document Object Model (CodeDOM) compilation unit and sends it to the specified text writer, using the specified options. compileUnit: A System.CodeDom.CodeCompileUnit for which to generate code. writer: The System.IO.TextWriter to which the output code is sent. options: A System.CodeDom.Compiler.CodeGeneratorOptions that indicates the options to use for generating code. """ pass def GenerateCodeFromExpression(self, expression, writer, options): """ GenerateCodeFromExpression(self: CodeDomProvider, expression: CodeExpression, writer: TextWriter, options: CodeGeneratorOptions) Generates code for the specified Code Document Object Model (CodeDOM) expression and sends it to the specified text writer, using the specified options. expression: A System.CodeDom.CodeExpression object that indicates the expression for which to generate code. writer: The System.IO.TextWriter to which output code is sent. options: A System.CodeDom.Compiler.CodeGeneratorOptions that indicates the options to use for generating code. """ pass def GenerateCodeFromMember(self, member, writer, options): """ GenerateCodeFromMember(self: CodeDomProvider, member: CodeTypeMember, writer: TextWriter, options: CodeGeneratorOptions) Generates code for the specified Code Document Object Model (CodeDOM) member declaration and sends it to the specified text writer, using the specified options. member: A System.CodeDom.CodeTypeMember object that indicates the member for which to generate code. writer: The System.IO.TextWriter to which output code is sent. options: A System.CodeDom.Compiler.CodeGeneratorOptions that indicates the options to use for generating code. """ pass def GenerateCodeFromNamespace(self, codeNamespace, writer, options): """ GenerateCodeFromNamespace(self: CodeDomProvider, codeNamespace: CodeNamespace, writer: TextWriter, options: CodeGeneratorOptions) Generates code for the specified Code Document Object Model (CodeDOM) namespace and sends it to the specified text writer, using the specified options. codeNamespace: A System.CodeDom.CodeNamespace object that indicates the namespace for which to generate code. writer: The System.IO.TextWriter to which output code is sent. options: A System.CodeDom.Compiler.CodeGeneratorOptions that indicates the options to use for generating code. """ pass def GenerateCodeFromStatement(self, statement, writer, options): """ GenerateCodeFromStatement(self: CodeDomProvider, statement: CodeStatement, writer: TextWriter, options: CodeGeneratorOptions) Generates code for the specified Code Document Object Model (CodeDOM) statement and sends it to the specified text writer, using the specified options. statement: A System.CodeDom.CodeStatement containing the CodeDOM elements for which to generate code. writer: The System.IO.TextWriter to which output code is sent. options: A System.CodeDom.Compiler.CodeGeneratorOptions that indicates the options to use for generating code. """ pass def GenerateCodeFromType(self, codeType, writer, options): """ GenerateCodeFromType(self: CodeDomProvider, codeType: CodeTypeDeclaration, writer: TextWriter, options: CodeGeneratorOptions) Generates code for the specified Code Document Object Model (CodeDOM) type declaration and sends it to the specified text writer, using the specified options. codeType: A System.CodeDom.CodeTypeDeclaration object that indicates the type for which to generate code. writer: The System.IO.TextWriter to which output code is sent. options: A System.CodeDom.Compiler.CodeGeneratorOptions that indicates the options to use for generating code. """ pass @staticmethod def GetAllCompilerInfo(): """ GetAllCompilerInfo() -> Array[CompilerInfo] Returns the language provider and compiler configuration settings for this computer. Returns: An array of type System.CodeDom.Compiler.CompilerInfo representing the settings of all configured System.CodeDom.Compiler.CodeDomProvider implementations. """ pass @staticmethod def GetCompilerInfo(language): """ GetCompilerInfo(language: str) -> CompilerInfo Returns the language provider and compiler configuration settings for the specified language. language: A language name. Returns: A System.CodeDom.Compiler.CompilerInfo object populated with settings of the configured System.CodeDom.Compiler.CodeDomProvider implementation. """ pass def GetConverter(self, type): """ GetConverter(self: CodeDomProvider, type: Type) -> TypeConverter Gets a System.ComponentModel.TypeConverter for the specified data type. type: The type of object to retrieve a type converter for. Returns: A System.ComponentModel.TypeConverter for the specified type, or null if a System.ComponentModel.TypeConverter for the specified type cannot be found. """ pass @staticmethod def GetLanguageFromExtension(extension): """ GetLanguageFromExtension(extension: str) -> str Returns a language name associated with the specified file name extension, as configured in the System.CodeDom.Compiler.CodeDomProvider compiler configuration section. extension: A file name extension. Returns: A language name associated with the file name extension, as configured in the System.CodeDom.Compiler.CodeDomProvider compiler configuration settings. """ pass def GetService(self, *args): #cannot find CLR method """ GetService(self: Component, service: Type) -> object Returns an object that represents a service provided by the System.ComponentModel.Component or by its System.ComponentModel.Container. service: A service provided by the System.ComponentModel.Component. Returns: An System.Object that represents a service provided by the System.ComponentModel.Component, or null if the System.ComponentModel.Component does not provide the specified service. """ pass def GetTypeOutput(self, type): """ GetTypeOutput(self: CodeDomProvider, type: CodeTypeReference) -> str Gets the type indicated by the specified System.CodeDom.CodeTypeReference. type: A System.CodeDom.CodeTypeReference that indicates the type to return. Returns: A text representation of the specified type, formatted for the language in which code is generated by this code generator. In Visual Basic, for example, passing in a System.CodeDom.CodeTypeReference for the System.Int32 type will return "Integer". """ pass @staticmethod def IsDefinedExtension(extension): """ IsDefinedExtension(extension: str) -> bool Tests whether a file name extension has an associated System.CodeDom.Compiler.CodeDomProvider implementation configured on the computer. extension: A file name extension. Returns: true if a System.CodeDom.Compiler.CodeDomProvider implementation is configured for the specified file name extension; otherwise, false. """ pass @staticmethod def IsDefinedLanguage(language): """ IsDefinedLanguage(language: str) -> bool Tests whether a language has a System.CodeDom.Compiler.CodeDomProvider implementation configured on the computer. language: The language name. Returns: true if a System.CodeDom.Compiler.CodeDomProvider implementation is configured for the specified language; otherwise, false. """ pass def IsValidIdentifier(self, value): """ IsValidIdentifier(self: CodeDomProvider, value: str) -> bool Returns a value that indicates whether the specified value is a valid identifier for the current language. value: The value to verify as a valid identifier. Returns: true if the value parameter is a valid identifier; otherwise, false. """ pass def MemberwiseClone(self, *args): #cannot find CLR method """ MemberwiseClone(self: MarshalByRefObject, cloneIdentity: bool) -> MarshalByRefObject Creates a shallow copy of the current System.MarshalByRefObject object. cloneIdentity: false to delete the current System.MarshalByRefObject object's identity, which will cause the object to be assigned a new identity when it is marshaled across a remoting boundary. A value of false is usually appropriate. true to copy the current System.MarshalByRefObject object's identity to its clone, which will cause remoting client calls to be routed to the remote server object. Returns: A shallow copy of the current System.MarshalByRefObject object. MemberwiseClone(self: object) -> object Creates a shallow copy of the current System.Object. Returns: A shallow copy of the current System.Object. """ pass def Parse(self, codeStream): """ Parse(self: CodeDomProvider, codeStream: TextReader) -> CodeCompileUnit Compiles the code read from the specified text stream into a System.CodeDom.CodeCompileUnit. codeStream: A System.IO.TextReader object that is used to read the code to be parsed. Returns: A System.CodeDom.CodeCompileUnit that contains a representation of the parsed code. """ pass def Supports(self, generatorSupport): """ Supports(self: CodeDomProvider, generatorSupport: GeneratorSupport) -> bool Returns a value indicating whether the specified code generation support is provided. generatorSupport: A System.CodeDom.Compiler.GeneratorSupport object that indicates the type of code generation support to verify. Returns: true if the specified code generation support is provided; otherwise, false. """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass def __str__(self, *args): #cannot find CLR method pass CanRaiseEvents = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets a value indicating whether the component can raise an event. """ DesignMode = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets a value that indicates whether the System.ComponentModel.Component is currently in design mode. """ Events = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets the list of event handlers that are attached to this System.ComponentModel.Component. """ FileExtension = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets the default file name extension to use for source code files in the current language. Get: FileExtension(self: CodeDomProvider) -> str """ LanguageOptions = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets a language features identifier. Get: LanguageOptions(self: CodeDomProvider) -> LanguageOptions """ class CodeGeneratorOptions(object): """ Represents a set of options used by a code generator. CodeGeneratorOptions() """ def __getitem__(self, *args): #cannot find CLR method """ x.__getitem__(y) <==> x[y] """ pass def __setitem__(self, *args): #cannot find CLR method """ x.__setitem__(i, y) <==> x[i]= """ pass BlankLinesBetweenMembers = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets or sets a value indicating whether to insert blank lines between members. Get: BlankLinesBetweenMembers(self: CodeGeneratorOptions) -> bool Set: BlankLinesBetweenMembers(self: CodeGeneratorOptions) = value """ BracingStyle = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets or sets the style to use for bracing. Get: BracingStyle(self: CodeGeneratorOptions) -> str Set: BracingStyle(self: CodeGeneratorOptions) = value """ ElseOnClosing = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets or sets a value indicating whether to append an else, catch, or finally block, including brackets, at the closing line of each previous if or try block. Get: ElseOnClosing(self: CodeGeneratorOptions) -> bool Set: ElseOnClosing(self: CodeGeneratorOptions) = value """ IndentString = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets or sets the string to use for indentations. Get: IndentString(self: CodeGeneratorOptions) -> str Set: IndentString(self: CodeGeneratorOptions) = value """ VerbatimOrder = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets or sets a value indicating whether to generate members in the order in which they occur in member collections. Get: VerbatimOrder(self: CodeGeneratorOptions) -> bool Set: VerbatimOrder(self: CodeGeneratorOptions) = value """ class CodeParser(object, ICodeParser): """ Provides an empty implementation of the System.CodeDom.Compiler.ICodeParser interface. """ def Parse(self, codeStream): """ Parse(self: CodeParser, codeStream: TextReader) -> CodeCompileUnit Compiles the specified text stream into a System.CodeDom.CodeCompileUnit. codeStream: A System.IO.TextReader that is used to read the code to be parsed. Returns: A System.CodeDom.CodeCompileUnit containing the code model produced from parsing the code. """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass def __repr__(self, *args): #cannot find CLR method """ __repr__(self: object) -> str """ pass class CompilerError(object): """ Represents a compiler error or warning. CompilerError() CompilerError(fileName: str, line: int, column: int, errorNumber: str, errorText: str) """ def ToString(self): """ ToString(self: CompilerError) -> str Provides an implementation of Object's System.Object.ToString method. Returns: A string representation of the compiler error. """ pass @staticmethod # known case of __new__ def __new__(self, fileName=None, line=None, column=None, errorNumber=None, errorText=None): """ __new__(cls: type) __new__(cls: type, fileName: str, line: int, column: int, errorNumber: str, errorText: str) """ pass Column = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets or sets the column number where the source of the error occurs. Get: Column(self: CompilerError) -> int Set: Column(self: CompilerError) = value """ ErrorNumber = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets or sets the error number. Get: ErrorNumber(self: CompilerError) -> str Set: ErrorNumber(self: CompilerError) = value """ ErrorText = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets or sets the text of the error message. Get: ErrorText(self: CompilerError) -> str Set: ErrorText(self: CompilerError) = value """ FileName = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets or sets the file name of the source file that contains the code which caused the error. Get: FileName(self: CompilerError) -> str Set: FileName(self: CompilerError) = value """ IsWarning = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets or sets a value that indicates whether the error is a warning. Get: IsWarning(self: CompilerError) -> bool Set: IsWarning(self: CompilerError) = value """ Line = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets or sets the line number where the source of the error occurs. Get: Line(self: CompilerError) -> int Set: Line(self: CompilerError) = value """ class CompilerErrorCollection(CollectionBase, IList, ICollection, IEnumerable): """ Represents a collection of System.CodeDom.Compiler.CompilerError objects. CompilerErrorCollection() CompilerErrorCollection(value: CompilerErrorCollection) CompilerErrorCollection(value: Array[CompilerError]) """ def Add(self, value): """ Add(self: CompilerErrorCollection, value: CompilerError) -> int Adds the specified System.CodeDom.Compiler.CompilerError object to the error collection. value: The System.CodeDom.Compiler.CompilerError object to add. Returns: The index at which the new element was inserted. """ pass def AddRange(self, value): """ AddRange(self: CompilerErrorCollection, value: CompilerErrorCollection) Adds the contents of the specified compiler error collection to the end of the error collection. value: A System.CodeDom.Compiler.CompilerErrorCollection object that contains the objects to add to the collection. AddRange(self: CompilerErrorCollection, value: Array[CompilerError]) Copies the elements of an array to the end of the error collection. value: An array of type System.CodeDom.Compiler.CompilerError that contains the objects to add to the collection. """ pass def Contains(self, value): """ Contains(self: CompilerErrorCollection, value: CompilerError) -> bool Gets a value that indicates whether the collection contains the specified System.CodeDom.Compiler.CompilerError object. value: The System.CodeDom.Compiler.CompilerError to locate. Returns: true if the System.CodeDom.Compiler.CompilerError is contained in the collection; otherwise, false. """ pass def CopyTo(self, array, index): """ CopyTo(self: CompilerErrorCollection, array: Array[CompilerError], index: int) Copies the collection values to a one-dimensional System.Array instance at the specified index. array: The one-dimensional System.Array that is the destination of the values copied from System.CodeDom.Compiler.CompilerErrorCollection. index: The index in the array at which to start copying. """ pass def IndexOf(self, value): """ IndexOf(self: CompilerErrorCollection, value: CompilerError) -> int Gets the index of the specified System.CodeDom.Compiler.CompilerError object in the collection, if it exists in the collection. value: The System.CodeDom.Compiler.CompilerError to locate. Returns: The index of the specified System.CodeDom.Compiler.CompilerError in the System.CodeDom.Compiler.CompilerErrorCollection, if found; otherwise, -1. """ pass def Insert(self, index, value): """ Insert(self: CompilerErrorCollection, index: int, value: CompilerError) Inserts the specified System.CodeDom.Compiler.CompilerError into the collection at the specified index. index: The zero-based index where the compiler error should be inserted. value: The System.CodeDom.Compiler.CompilerError to insert. """ pass def OnClear(self, *args): #cannot find CLR method """ OnClear(self: CollectionBase) Performs additional custom processes when clearing the contents of the System.Collections.CollectionBase instance. """ pass def OnClearComplete(self, *args): #cannot find CLR method """ OnClearComplete(self: CollectionBase) Performs additional custom processes after clearing the contents of the System.Collections.CollectionBase instance. """ pass def OnInsert(self, *args): #cannot find CLR method """ OnInsert(self: CollectionBase, index: int, value: object) Performs additional custom processes before inserting a new element into the System.Collections.CollectionBase instance. index: The zero-based index at which to insert value. value: The new value of the element at index. """ pass def OnInsertComplete(self, *args): #cannot find CLR method """ OnInsertComplete(self: CollectionBase, index: int, value: object) Performs additional custom processes after inserting a new element into the System.Collections.CollectionBase instance. index: The zero-based index at which to insert value. value: The new value of the element at index. """ pass def OnRemove(self, *args): #cannot find CLR method """ OnRemove(self: CollectionBase, index: int, value: object) Performs additional custom processes when removing an element from the System.Collections.CollectionBase instance. index: The zero-based index at which value can be found. value: The value of the element to remove from index. """ pass def OnRemoveComplete(self, *args): #cannot find CLR method """ OnRemoveComplete(self: CollectionBase, index: int, value: object) Performs additional custom processes after removing an element from the System.Collections.CollectionBase instance. index: The zero-based index at which value can be found. value: The value of the element to remove from index. """ pass def OnSet(self, *args): #cannot find CLR method """ OnSet(self: CollectionBase, index: int, oldValue: object, newValue: object) Performs additional custom processes before setting a value in the System.Collections.CollectionBase instance. index: The zero-based index at which oldValue can be found. oldValue: The value to replace with newValue. newValue: The new value of the element at index. """ pass def OnSetComplete(self, *args): #cannot find CLR method """ OnSetComplete(self: CollectionBase, index: int, oldValue: object, newValue: object) Performs additional custom processes after setting a value in the System.Collections.CollectionBase instance. index: The zero-based index at which oldValue can be found. oldValue: The value to replace with newValue. newValue: The new value of the element at index. """ pass def OnValidate(self, *args): #cannot find CLR method """ OnValidate(self: CollectionBase, value: object) Performs additional custom processes when validating a value. value: The object to validate. """ pass def Remove(self, value): """ Remove(self: CompilerErrorCollection, value: CompilerError) Removes a specific System.CodeDom.Compiler.CompilerError from the collection. value: The System.CodeDom.Compiler.CompilerError to remove from the System.CodeDom.Compiler.CompilerErrorCollection. """ pass def __add__(self, *args): #cannot find CLR method """ x.__add__(y) <==> x+y """ pass def __getitem__(self, *args): #cannot find CLR method """ x.__getitem__(y) <==> x[y] """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass def __iter__(self, *args): #cannot find CLR method """ __iter__(self: IEnumerable) -> object """ pass @staticmethod # known case of __new__ def __new__(self, value=None): """ __new__(cls: type) __new__(cls: type, value: CompilerErrorCollection) __new__(cls: type, value: Array[CompilerError]) """ pass def __reduce_ex__(self, *args): #cannot find CLR method pass def __setitem__(self, *args): #cannot find CLR method """ x.__setitem__(i, y) <==> x[i]= """ pass HasErrors = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets a value that indicates whether the collection contains errors. Get: HasErrors(self: CompilerErrorCollection) -> bool """ HasWarnings = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets a value that indicates whether the collection contains warnings. Get: HasWarnings(self: CompilerErrorCollection) -> bool """ InnerList = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets an System.Collections.ArrayList containing the list of elements in the System.Collections.CollectionBase instance. """ List = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets an System.Collections.IList containing the list of elements in the System.Collections.CollectionBase instance. """ class CompilerInfo(object): """ Represents the configuration settings of a language provider. This class cannot be inherited. """ def CreateDefaultCompilerParameters(self): """ CreateDefaultCompilerParameters(self: CompilerInfo) -> CompilerParameters Gets the configured compiler settings for the language provider implementation. Returns: A read-only System.CodeDom.Compiler.CompilerParameters instance that contains the compiler options and settings configured for the language provider. """ pass def CreateProvider(self, providerOptions=None): """ CreateProvider(self: CompilerInfo) -> CodeDomProvider Returns a System.CodeDom.Compiler.CodeDomProvider instance for the current language provider settings. Returns: A CodeDOM provider associated with the language provider configuration. CreateProvider(self: CompilerInfo, providerOptions: IDictionary[str, str]) -> CodeDomProvider """ pass def Equals(self, o): """ Equals(self: CompilerInfo, o: object) -> bool Determines whether the specified object represents the same language provider and compiler settings as the current System.CodeDom.Compiler.CompilerInfo. o: The object to compare with the current System.CodeDom.Compiler.CompilerInfo. Returns: true if o is a System.CodeDom.Compiler.CompilerInfo object and its value is the same as this instance; otherwise, false. """ pass def GetExtensions(self): """ GetExtensions(self: CompilerInfo) -> Array[str] Returns the file name extensions supported by the language provider. Returns: An array of file name extensions supported by the language provider. """ pass def GetHashCode(self): """ GetHashCode(self: CompilerInfo) -> int Returns the hash code for the current instance. Returns: A 32-bit signed integer hash code for the current System.CodeDom.Compiler.CompilerInfo instance, suitable for use in hashing algorithms and data structures such as a hash table. """ pass def GetLanguages(self): """ GetLanguages(self: CompilerInfo) -> Array[str] Gets the language names supported by the language provider. Returns: An array of language names supported by the language provider. """ pass def __eq__(self, *args): #cannot find CLR method """ x.__eq__(y) <==> x==y """ pass def __ne__(self, *args): #cannot find CLR method pass CodeDomProviderType = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets the type of the configured System.CodeDom.Compiler.CodeDomProvider implementation. Get: CodeDomProviderType(self: CompilerInfo) -> Type """ IsCodeDomProviderTypeValid = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Returns a value indicating whether the language provider implementation is configured on the computer. Get: IsCodeDomProviderTypeValid(self: CompilerInfo) -> bool """ class CompilerParameters(object): """ Represents the parameters used to invoke a compiler. CompilerParameters() CompilerParameters(assemblyNames: Array[str]) CompilerParameters(assemblyNames: Array[str], outputName: str) CompilerParameters(assemblyNames: Array[str], outputName: str, includeDebugInformation: bool) """ @staticmethod # known case of __new__ def __new__(self, assemblyNames=None, outputName=None, includeDebugInformation=None): """ __new__(cls: type) __new__(cls: type, assemblyNames: Array[str]) __new__(cls: type, assemblyNames: Array[str], outputName: str) __new__(cls: type, assemblyNames: Array[str], outputName: str, includeDebugInformation: bool) """ pass CompilerOptions = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets or sets the optional additional-command line arguments string to use when invoking the compiler. Get: CompilerOptions(self: CompilerParameters) -> str Set: CompilerOptions(self: CompilerParameters) = value """ CoreAssemblyFileName = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Get: CoreAssemblyFileName(self: CompilerParameters) -> str Set: CoreAssemblyFileName(self: CompilerParameters) = value """ EmbeddedResources = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets the .NET Framework resource files to include when compiling the assembly output. Get: EmbeddedResources(self: CompilerParameters) -> StringCollection """ Evidence = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Specifies an evidence object that represents the security policy permissions to grant the compiled assembly. Get: Evidence(self: CompilerParameters) -> Evidence Set: Evidence(self: CompilerParameters) = value """ GenerateExecutable = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets or sets a value indicating whether to generate an executable. Get: GenerateExecutable(self: CompilerParameters) -> bool Set: GenerateExecutable(self: CompilerParameters) = value """ GenerateInMemory = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets or sets a value indicating whether to generate the output in memory. Get: GenerateInMemory(self: CompilerParameters) -> bool Set: GenerateInMemory(self: CompilerParameters) = value """ IncludeDebugInformation = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets or sets a value indicating whether to include debug information in the compiled executable. Get: IncludeDebugInformation(self: CompilerParameters) -> bool Set: IncludeDebugInformation(self: CompilerParameters) = value """ LinkedResources = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets the .NET Framework resource files that are referenced in the current source. Get: LinkedResources(self: CompilerParameters) -> StringCollection """ MainClass = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets or sets the name of the main class. Get: MainClass(self: CompilerParameters) -> str Set: MainClass(self: CompilerParameters) = value """ OutputAssembly = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets or sets the name of the output assembly. Get: OutputAssembly(self: CompilerParameters) -> str Set: OutputAssembly(self: CompilerParameters) = value """ ReferencedAssemblies = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets the assemblies referenced by the current project. Get: ReferencedAssemblies(self: CompilerParameters) -> StringCollection """ TempFiles = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets or sets the collection that contains the temporary files. Get: TempFiles(self: CompilerParameters) -> TempFileCollection Set: TempFiles(self: CompilerParameters) = value """ TreatWarningsAsErrors = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets or sets a value indicating whether to treat warnings as errors. Get: TreatWarningsAsErrors(self: CompilerParameters) -> bool Set: TreatWarningsAsErrors(self: CompilerParameters) = value """ UserToken = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets or sets the user token to use when creating the compiler process. Get: UserToken(self: CompilerParameters) -> IntPtr Set: UserToken(self: CompilerParameters) = value """ WarningLevel = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets or sets the warning level at which the compiler aborts compilation. Get: WarningLevel(self: CompilerParameters) -> int Set: WarningLevel(self: CompilerParameters) = value """ Win32Resource = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets or sets the file name of a Win32 resource file to link into the compiled assembly. Get: Win32Resource(self: CompilerParameters) -> str Set: Win32Resource(self: CompilerParameters) = value """ class CompilerResults(object): """ Represents the results of compilation that are returned from a compiler. CompilerResults(tempFiles: TempFileCollection) """ @staticmethod # known case of __new__ def __new__(self, tempFiles): """ __new__(cls: type, tempFiles: TempFileCollection) """ pass CompiledAssembly = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets or sets the compiled assembly. Get: CompiledAssembly(self: CompilerResults) -> Assembly Set: CompiledAssembly(self: CompilerResults) = value """ Errors = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets the collection of compiler errors and warnings. Get: Errors(self: CompilerResults) -> CompilerErrorCollection """ Evidence = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Indicates the evidence object that represents the security policy permissions of the compiled assembly. Get: Evidence(self: CompilerResults) -> Evidence Set: Evidence(self: CompilerResults) = value """ NativeCompilerReturnValue = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets or sets the compiler's return value. Get: NativeCompilerReturnValue(self: CompilerResults) -> int Set: NativeCompilerReturnValue(self: CompilerResults) = value """ Output = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets the compiler output messages. Get: Output(self: CompilerResults) -> StringCollection """ PathToAssembly = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets or sets the path of the compiled assembly. Get: PathToAssembly(self: CompilerResults) -> str Set: PathToAssembly(self: CompilerResults) = value """ TempFiles = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets or sets the temporary file collection to use. Get: TempFiles(self: CompilerResults) -> TempFileCollection Set: TempFiles(self: CompilerResults) = value """ class Executor(object): """ Provides command execution functions for invoking compilers. This class cannot be inherited. """ @staticmethod def ExecWait(cmd, tempFiles): """ ExecWait(cmd: str, tempFiles: TempFileCollection) Executes the command using the specified temporary files and waits for the call to return. cmd: The command to execute. tempFiles: A System.CodeDom.Compiler.TempFileCollection with which to manage and store references to intermediate files generated during compilation. """ pass @staticmethod def ExecWaitWithCapture(*__args): """ ExecWaitWithCapture(userToken: IntPtr, cmd: str, tempFiles: TempFileCollection, outputName: str, errorName: str) -> (int, str, str) Executes the specified command using the specified user token and temporary files, and waits for the call to return, storing output and error information from the compiler in the specified strings. userToken: The token to start the compiler process with. cmd: The command to execute. tempFiles: A System.CodeDom.Compiler.TempFileCollection with which to manage and store references to intermediate files generated during compilation. outputName: A reference to a string that will store the compiler's message output. errorName: A reference to a string that will store the name of the error or errors encountered. Returns: The return value from the compiler. ExecWaitWithCapture(userToken: IntPtr, cmd: str, currentDir: str, tempFiles: TempFileCollection, outputName: str, errorName: str) -> (int, str, str) Executes the specified command using the specified user token, current directory, and temporary files; then waits for the call to return, storing output and error information from the compiler in the specified strings. userToken: The token to start the compiler process with. cmd: The command to execute. currentDir: The directory to start the process in. tempFiles: A System.CodeDom.Compiler.TempFileCollection with which to manage and store references to intermediate files generated during compilation. outputName: A reference to a string that will store the compiler's message output. errorName: A reference to a string that will store the name of the error or errors encountered. Returns: The return value from the compiler. ExecWaitWithCapture(cmd: str, tempFiles: TempFileCollection, outputName: str, errorName: str) -> (int, str, str) Executes the specified command using the specified temporary files and waits for the call to return, storing output and error information from the compiler in the specified strings. cmd: The command to execute. tempFiles: A System.CodeDom.Compiler.TempFileCollection with which to manage and store references to intermediate files generated during compilation. outputName: A reference to a string that will store the compiler's message output. errorName: A reference to a string that will store the name of the error or errors encountered. Returns: The return value from the compiler. ExecWaitWithCapture(cmd: str, currentDir: str, tempFiles: TempFileCollection, outputName: str, errorName: str) -> (int, str, str) Executes the specified command using the specified current directory and temporary files, and waits for the call to return, storing output and error information from the compiler in the specified strings. cmd: The command to execute. currentDir: The current directory. tempFiles: A System.CodeDom.Compiler.TempFileCollection with which to manage and store references to intermediate files generated during compilation. outputName: A reference to a string that will store the compiler's message output. errorName: A reference to a string that will store the name of the error or errors encountered. Returns: The return value from the compiler. """ pass __all__ = [ 'ExecWait', 'ExecWaitWithCapture', ] class GeneratedCodeAttribute(Attribute, _Attribute): """ Identifies code generated by a tool. This class cannot be inherited. GeneratedCodeAttribute(tool: str, version: str) """ def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod # known case of __new__ def __new__(self, tool, version): """ __new__(cls: type, tool: str, version: str) """ pass Tool = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets the name of the tool that generated the code. Get: Tool(self: GeneratedCodeAttribute) -> str """ Version = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets the version of the tool that generated the code. Get: Version(self: GeneratedCodeAttribute) -> str """ class GeneratorSupport(Enum, IComparable, IFormattable, IConvertible): """ Defines identifiers used to determine whether a code generator supports certain types of code elements. enum (flags) GeneratorSupport, values: ArraysOfArrays (1), AssemblyAttributes (4096), ChainedConstructorArguments (32768), ComplexExpressions (524288), DeclareDelegates (512), DeclareEnums (256), DeclareEvents (2048), DeclareIndexerProperties (33554432), DeclareInterfaces (1024), DeclareValueTypes (128), EntryPointMethod (2), GenericTypeDeclaration (16777216), GenericTypeReference (8388608), GotoStatements (4), MultidimensionalArrays (8), MultipleInterfaceMembers (131072), NestedTypes (65536), ParameterAttributes (8192), PartialTypes (4194304), PublicStaticMembers (262144), ReferenceParameters (16384), Resources (2097152), ReturnTypeAttributes (64), StaticConstructors (16), TryCatchStatements (32), Win32Resources (1048576) """ def __eq__(self, *args): #cannot find CLR method """ x.__eq__(y) <==> x==yx.__eq__(y) <==> x==yx.__eq__(y) <==> x==y """ pass def __format__(self, *args): #cannot find CLR method """ __format__(formattable: IFormattable, format: str) -> str """ pass def __ge__(self, *args): #cannot find CLR method pass def __gt__(self, *args): #cannot find CLR method pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass def __le__(self, *args): #cannot find CLR method pass def __lt__(self, *args): #cannot find CLR method pass def __ne__(self, *args): #cannot find CLR method pass def __reduce_ex__(self, *args): #cannot find CLR method pass def __str__(self, *args): #cannot find CLR method pass ArraysOfArrays = None AssemblyAttributes = None ChainedConstructorArguments = None ComplexExpressions = None DeclareDelegates = None DeclareEnums = None DeclareEvents = None DeclareIndexerProperties = None DeclareInterfaces = None DeclareValueTypes = None EntryPointMethod = None GenericTypeDeclaration = None GenericTypeReference = None GotoStatements = None MultidimensionalArrays = None MultipleInterfaceMembers = None NestedTypes = None ParameterAttributes = None PartialTypes = None PublicStaticMembers = None ReferenceParameters = None Resources = None ReturnTypeAttributes = None StaticConstructors = None TryCatchStatements = None value__ = None Win32Resources = None class ICodeParser: """ Defines an interface for parsing code into a System.CodeDom.CodeCompileUnit. """ def Parse(self, codeStream): """ Parse(self: ICodeParser, codeStream: TextReader) -> CodeCompileUnit When implemented in a derived class, compiles the specified text stream into a System.CodeDom.CodeCompileUnit. codeStream: A System.IO.TextReader that can be used to read the code to be compiled. Returns: A System.CodeDom.CodeCompileUnit that contains a representation of the parsed code. """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass class IndentedTextWriter(TextWriter, IDisposable): """ Provides a text writer that can indent new lines by a tab string token. IndentedTextWriter(writer: TextWriter, tabString: str) IndentedTextWriter(writer: TextWriter) """ def Close(self): """ Close(self: IndentedTextWriter) Closes the document being written to. """ pass def Dispose(self): """ Dispose(self: TextWriter, disposing: bool) Releases the unmanaged resources used by the System.IO.TextWriter and optionally releases the managed resources. disposing: true to release both managed and unmanaged resources; false to release only unmanaged resources. """ pass def Flush(self): """ Flush(self: IndentedTextWriter) Flushes the stream. """ pass def MemberwiseClone(self, *args): #cannot find CLR method """ MemberwiseClone(self: MarshalByRefObject, cloneIdentity: bool) -> MarshalByRefObject Creates a shallow copy of the current System.MarshalByRefObject object. cloneIdentity: false to delete the current System.MarshalByRefObject object's identity, which will cause the object to be assigned a new identity when it is marshaled across a remoting boundary. A value of false is usually appropriate. true to copy the current System.MarshalByRefObject object's identity to its clone, which will cause remoting client calls to be routed to the remote server object. Returns: A shallow copy of the current System.MarshalByRefObject object. MemberwiseClone(self: object) -> object Creates a shallow copy of the current System.Object. Returns: A shallow copy of the current System.Object. """ pass def OutputTabs(self, *args): #cannot find CLR method """ OutputTabs(self: IndentedTextWriter) Outputs the tab string once for each level of indentation according to the System.CodeDom.Compiler.IndentedTextWriter.Indent property. """ pass def Write(self, *__args): """ Write(self: IndentedTextWriter, value: object) Writes the text representation of an object to the text stream. value: The object to write. Write(self: IndentedTextWriter, value: Int64) Writes the text representation of an 8-byte integer to the text stream. value: The 8-byte integer to write. Write(self: IndentedTextWriter, value: int) Writes the text representation of an integer to the text stream. value: The integer to write. Write(self: IndentedTextWriter, format: str, *arg: Array[object]) Writes out a formatted string, using the same semantics as specified. format: The formatting string to use. arg: The argument array to output. Write(self: IndentedTextWriter, format: str, arg0: object, arg1: object) Writes out a formatted string, using the same semantics as specified. format: The formatting string to use. arg0: The first object to write into the formatted string. arg1: The second object to write into the formatted string. Write(self: IndentedTextWriter, format: str, arg0: object) Writes out a formatted string, using the same semantics as specified. format: The formatting string. arg0: The object to write into the formatted string. Write(self: IndentedTextWriter, value: Single) Writes the text representation of a Single to the text stream. value: The single to write. Write(self: IndentedTextWriter, value: Char) Writes a character to the text stream. value: The character to write. Write(self: IndentedTextWriter, value: bool) Writes the text representation of a Boolean value to the text stream. value: The Boolean value to write. Write(self: IndentedTextWriter, s: str) Writes the specified string to the text stream. s: The string to write. Write(self: IndentedTextWriter, value: float) Writes the text representation of a Double to the text stream. value: The double to write. Write(self: IndentedTextWriter, buffer: Array[Char], index: int, count: int) Writes a subarray of characters to the text stream. buffer: The character array to write data from. index: Starting index in the buffer. count: The number of characters to write. Write(self: IndentedTextWriter, buffer: Array[Char]) Writes a character array to the text stream. buffer: The character array to write. """ pass def WriteLine(self, *__args): """ WriteLine(self: IndentedTextWriter, value: object) Writes the text representation of an object, followed by a line terminator, to the text stream. value: The object to write. WriteLine(self: IndentedTextWriter, value: Int64) Writes the text representation of an 8-byte integer, followed by a line terminator, to the text stream. value: The 8-byte integer to write. WriteLine(self: IndentedTextWriter, value: int) Writes the text representation of an integer, followed by a line terminator, to the text stream. value: The integer to write. WriteLine(self: IndentedTextWriter, format: str, arg0: object) Writes out a formatted string, followed by a line terminator, using the same semantics as specified. format: The formatting string. arg0: The object to write into the formatted string. WriteLine(self: IndentedTextWriter, value: UInt32) Writes the text representation of a UInt32, followed by a line terminator, to the text stream. value: A UInt32 to output. WriteLine(self: IndentedTextWriter, format: str, *arg: Array[object]) Writes out a formatted string, followed by a line terminator, using the same semantics as specified. format: The formatting string to use. arg: The argument array to output. WriteLine(self: IndentedTextWriter, format: str, arg0: object, arg1: object) Writes out a formatted string, followed by a line terminator, using the same semantics as specified. format: The formatting string to use. arg0: The first object to write into the formatted string. arg1: The second object to write into the formatted string. WriteLine(self: IndentedTextWriter, value: Single) Writes the text representation of a Single, followed by a line terminator, to the text stream. value: The single to write. WriteLine(self: IndentedTextWriter, value: bool) Writes the text representation of a Boolean, followed by a line terminator, to the text stream. value: The Boolean to write. WriteLine(self: IndentedTextWriter) Writes a line terminator. WriteLine(self: IndentedTextWriter, s: str) Writes the specified string, followed by a line terminator, to the text stream. s: The string to write. WriteLine(self: IndentedTextWriter, value: Char) Writes a character, followed by a line terminator, to the text stream. value: The character to write. WriteLine(self: IndentedTextWriter, value: float) Writes the text representation of a Double, followed by a line terminator, to the text stream. value: The double to write. WriteLine(self: IndentedTextWriter, buffer: Array[Char], index: int, count: int) Writes a subarray of characters, followed by a line terminator, to the text stream. buffer: The character array to write data from. index: Starting index in the buffer. count: The number of characters to write. WriteLine(self: IndentedTextWriter, buffer: Array[Char]) Writes a character array, followed by a line terminator, to the text stream. buffer: The character array to write. """ pass def WriteLineNoTabs(self, s): """ WriteLineNoTabs(self: IndentedTextWriter, s: str) Writes the specified string to a line without tabs. s: The string to write. """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod # known case of __new__ def __new__(self, writer, tabString=None): """ __new__(cls: type, writer: TextWriter) __new__(cls: type, writer: TextWriter, tabString: str) """ pass Encoding = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets the encoding for the text writer to use. Get: Encoding(self: IndentedTextWriter) -> Encoding """ Indent = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets or sets the number of spaces to indent. Get: Indent(self: IndentedTextWriter) -> int Set: Indent(self: IndentedTextWriter) = value """ InnerWriter = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets the System.IO.TextWriter to use. Get: InnerWriter(self: IndentedTextWriter) -> TextWriter """ NewLine = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets or sets the new line character to use. Get: NewLine(self: IndentedTextWriter) -> str Set: NewLine(self: IndentedTextWriter) = value """ CoreNewLine = None DefaultTabString = ' ' class LanguageOptions(Enum, IComparable, IFormattable, IConvertible): """ Defines identifiers that indicate special features of a language. enum (flags) LanguageOptions, values: CaseInsensitive (1), None (0) """ def __eq__(self, *args): #cannot find CLR method """ x.__eq__(y) <==> x==yx.__eq__(y) <==> x==yx.__eq__(y) <==> x==y """ pass def __format__(self, *args): #cannot find CLR method """ __format__(formattable: IFormattable, format: str) -> str """ pass def __ge__(self, *args): #cannot find CLR method pass def __gt__(self, *args): #cannot find CLR method pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass def __le__(self, *args): #cannot find CLR method pass def __lt__(self, *args): #cannot find CLR method pass def __ne__(self, *args): #cannot find CLR method pass def __reduce_ex__(self, *args): #cannot find CLR method pass def __str__(self, *args): #cannot find CLR method pass CaseInsensitive = None None = None value__ = None class TempFileCollection(object, ICollection, IEnumerable, IDisposable): """ Represents a collection of temporary files. TempFileCollection(tempDir: str, keepFiles: bool) TempFileCollection() TempFileCollection(tempDir: str) """ def AddExtension(self, fileExtension, keepFile=None): """ AddExtension(self: TempFileCollection, fileExtension: str) -> str Adds a file name with the specified file name extension to the collection. fileExtension: The file name extension for the auto-generated temporary file name to add to the collection. Returns: A file name with the specified extension that was just added to the collection. AddExtension(self: TempFileCollection, fileExtension: str, keepFile: bool) -> str Adds a file name with the specified file name extension to the collection, using the specified value indicating whether the file should be deleted or retained. fileExtension: The file name extension for the auto-generated temporary file name to add to the collection. keepFile: true if the file should be kept after use; false if the file should be deleted. Returns: A file name with the specified extension that was just added to the collection. """ pass def AddFile(self, fileName, keepFile): """ AddFile(self: TempFileCollection, fileName: str, keepFile: bool) Adds the specified file to the collection, using the specified value indicating whether to keep the file after the collection is disposed or when the System.CodeDom.Compiler.TempFileCollection.Delete method is called. fileName: The name of the file to add to the collection. keepFile: true if the file should be kept after use; false if the file should be deleted. """ pass def CopyTo(self, fileNames, start): """ CopyTo(self: TempFileCollection, fileNames: Array[str], start: int) Copies the members of the collection to the specified string, beginning at the specified index. fileNames: The array of strings to copy to. start: The index of the array to begin copying to. """ pass def Delete(self): """ Delete(self: TempFileCollection) Deletes the temporary files within this collection that were not marked to be kept. """ pass def Dispose(self, *args): #cannot find CLR method """ Dispose(self: TempFileCollection, disposing: bool) Releases the unmanaged resources used by the System.CodeDom.Compiler.TempFileCollection and optionally releases the managed resources. disposing: true to release both managed and unmanaged resources; false to release only unmanaged resources. """ pass def GetEnumerator(self): """ GetEnumerator(self: TempFileCollection) -> IEnumerator Gets an enumerator that can enumerate the members of the collection. Returns: An System.Collections.IEnumerator that contains the collection's members. """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass def __iter__(self, *args): #cannot find CLR method """ __iter__(self: IEnumerable) -> object """ pass def __len__(self, *args): #cannot find CLR method """ x.__len__() <==> len(x) """ pass @staticmethod # known case of __new__ def __new__(self, tempDir=None, keepFiles=None): """ __new__(cls: type) __new__(cls: type, tempDir: str) __new__(cls: type, tempDir: str, keepFiles: bool) """ pass def __reduce_ex__(self, *args): #cannot find CLR method pass def __repr__(self, *args): #cannot find CLR method """ __repr__(self: object) -> str """ pass BasePath = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets the full path to the base file name, without a file name extension, on the temporary directory path, that is used to generate temporary file names for the collection. Get: BasePath(self: TempFileCollection) -> str """ Count = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets the number of files in the collection. Get: Count(self: TempFileCollection) -> int """ KeepFiles = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets or sets a value indicating whether to keep the files, by default, when the System.CodeDom.Compiler.TempFileCollection.Delete method is called or the collection is disposed. Get: KeepFiles(self: TempFileCollection) -> bool Set: KeepFiles(self: TempFileCollection) = value """ TempDir = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Gets the temporary directory to store the temporary files in. Get: TempDir(self: TempFileCollection) -> str """

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0

1

0

1

0

9

91c2d3a8e445d75cf50b00ee9243adf64c5d6335

18,242

py

Python

main.py

mukcyul/testRuf

1322d914d875f8c7827a25da7917d41d21699031

[ "CC0-1.0" ]

null

main.py

mukcyul/testRuf

1322d914d875f8c7827a25da7917d41d21699031

[ "CC0-1.0" ]

null

main.py

mukcyul/testRuf

1322d914d875f8c7827a25da7917d41d21699031

[ "CC0-1.0" ]

null

#######main from kivy.app import App from kivy.uix.button import Button from kivy.uix.label import Label from kivy.uix.textinput import TextInput from kivy.uix.boxlayout import BoxLayout from kivy.uix.scrollview import ScrollView from kivy.uix.screenmanager import ScreenManager, Screen from instructions import * from scrollLabel import * from seconds import * from sits import * from runner import * from ruffier import * ##Hello age=0 name='' pulse1=0 pulse2=0 pulse3=0 #класс первого экрана class FirstScr(Screen): def __init__(self,name='first'): super().__init__(name=name) lay1=BoxLayout(orientation='vertical') layh1=BoxLayout(size_hint=(1,.1)) layh2=BoxLayout(size_hint=(1,.1)) label_n=Label(text="Ваше имя: ") label_age=Label(text="Введите Ваш возраст: ") scl = ScrollLabel(ltext=txt_instruction,pos_hint={'center_y':.5}) self.name_val=TextInput(text='', multiline=False, size_hint=(.75,.9), pos_hint={"top":1,'center_x':.5}) self.age_val=TextInput(text='7', multiline=False, size_hint=(.75,.9), pos_hint={"top":1,'center_x':.5}) self.btn=Button(text="Продолжить",size_hint=(.33,.23), pos_hint={'top':0.5, 'center_x':.5}) self.btn.on_press=self.next layh1.add_widget(label_n) layh2.add_widget(label_age) layh1.add_widget(self.name_val) layh2.add_widget(self.age_val) lay1.add_widget(scl) lay1.add_widget(layh1) lay1.add_widget(layh2) lay1.add_widget(self.btn) self.add_widget(lay1) def next(self): global age, name age=int(self.age_val.text) name=self.name_val.text self.manager.current='second' class SecondScr(Screen): def __init__(self, name='second'): super().__init__(name=name) self.next_screen=False lay1=BoxLayout(orientation='vertical') lay2=BoxLayout(size_hint=(1,.1)) scrl=ScrollLabel(txt_test1) label=Label(text='Введите результат:') self.sec=Seconds(15,pos_hint={'center_x':.5}) self.sec.bind(done=self.sec_finished) self.ti=TextInput(text='0', multiline=False, size_hint=(.75,1.3), pos_hint={"top":1.3,'center_x':.5}) self.ti.set_disabled(True) self.btn=Button(text="Продолжить",size_hint=(.33,.23), pos_hint={'top':0.5, 'center_x':.5}) self.btn.on_press=self.next lay2.add_widget(label) lay2.add_widget(self.ti) lay1.add_widget(scrl) lay1.add_widget(self.sec) lay1.add_widget(lay2) lay1.add_widget(self.btn) self.add_widget(lay1) def next(self): if self.next_screen==False: self.sec.start() self.btn.set_disabled(True) else: global pulse1 pulse1=int(self.ti.text) self.manager.current='third' def sec_finished(self,*args): self.btn.set_disabled(False) self.btn.text='Продолжить' self.ti.set_disabled(False) self.next_screen=True class ThirdScr(Screen): def __init__(self, name='third'): super().__init__(name=name) self.next_screen=False instr=ScrollLabel(txt_sits,size_hint=(1,.1)) self.sits_value=Sits(30,size_hint=(1,.1)) self.run=Runner(total=30, steptime=1.5) self.run.bind(finished=self.run_finished) self.btn=Button(text='Начать', size_hint=(1,.1)) self.btn.on_press=self.next lay1=BoxLayout(orientation='vertical') lay1.add_widget(instr) lay1.add_widget(self.sits_value) lay1.add_widget(self.run) lay1.add_widget(self.btn) self.add_widget(lay1) def next(self): if self.next_screen==False: self.run.start() self.btn.set_disabled(True) self.run.bind(value=self.sits_value.next) else: self.manager.current='fourth' def run_finished(self,*args): self.next_screen=True self.btn.set_disabled(False) self.btn.text='Продолжить' class FourthScr(Screen): def __init__(self, name='fourth'): super().__init__(name=name) # флаг перехода к следующей страницы в False self.next_screen = False # режим работы секундомера self.stage = 0 # создаём виджеты instr1 = ScrollLabel(txt_test3) self.instr2 = ScrollLabel('Считайте пульс') # создаём секундомер (первый раз считает 15 секунд) self.sec = Seconds(15) # по завершению работы вызовем метод sec_finished self.sec.bind(done = self.sec_finished) res1_label = Label(text='Результат:') self.res1_value = TextInput(text='0') self.res1_value.set_disabled(True) res2_label = Label(text='Результат после отдыха:') self.res2_value = TextInput(text='0') self.res2_value.set_disabled(True) self.but = Button(text='Начать',size_hint=(1,0.2)) self.but.on_press = self.next # размещаем виджеты по направляющим hor1 = BoxLayout(size_hint=(1,0.2)) hor1.add_widget(res1_label) hor1.add_widget(self.res1_value) hor2 = BoxLayout(size_hint=(1,0.2)) hor2.add_widget(res2_label) hor2.add_widget(self.res2_value) ver = BoxLayout(orientation = 'vertical') ver.add_widget(instr1) ver.add_widget(self.instr2) ver.add_widget(self.sec) ver.add_widget(hor1) ver.add_widget(hor2) ver.add_widget(self.but) self.add_widget(ver) # метод срабатывает по завершению работы секундомера def sec_finished(self, instance, value): if value: # меняем режим работы секундомера (+1) self.stage += 1 # если отсчитали первые 15 секунд if self.stage == 1: # напишем Отдыхайте self.instr2.set_text('Отдыхайте') # перезапустим секундомер на 30 секунд self.sec.restart(30) # разблокировка res1_value self.res1_value.set_disabled(False) # если отсчитали второй раз (30 секунд ) elif self.stage == 2: # напишем считайте пульс self.instr2.set_text('Считайте пульт') # перезапускаем таймер на 15 секунд self.sec.restart(15) # если отсчитали третий раз (15 секунд) elif self.stage == 3: # разблокировка res2_value self.res2_value.set_disabled(False) # меняем текст кнопкп self.but.text = 'Завершить' # разблокировка but self.but.set_disabled(False) # можно переходить на следующий экран self.next_screen = True # метод отрабатываем при клике по кнопке def next(self): # если переходить на следующий экран нельзя if self.next_screen == False: # блокируем кнопку self.but.set_disabled(True) # запускаем секундомер (первый раз 15 сек) self.sec.start() else: # запоминаем пульс в глобальных переменных global pulse2, pulse3 pulse2 = int(self.res1_value.text) pulse3 = int(self.res2_value.text) # идем на четвертый экран self.manager.current = 'fiveth' # функция для формирования строки с результатом def get_result(): # вызываем функцию test из ruffier.py res = test(pulse1, pulse2, pulse3, age) # возвращаем строку с именем и результатом return name + '\n' + res[0] + '\n' + res[1] class FivethScr(Screen): def __init__(self, name='fiveth'): super().__init__(name=name) ver = BoxLayout(orientation='vertical', padding=8, spacing=8) # добавили один виджет, в нём будет результат измерений self.instr = ScrollLabel('') self.btn=Button(text="Заново",size_hint=(.33,.23), pos_hint={'top':0.5, 'center_x':.5}) self.btn.on_press = self.next ver.add_widget(self.instr) ver.add_widget(self.btn) self.add_widget(ver) # при показе экрана вызвать метод before self.on_enter = self.before def before(self): # установить в виджет результат get_result self.instr.set_text(get_result()) def next(self): self.manager.current = 'first' class SixthScr(Screen): def __init__(self, name='sixth'): super().__init__(name=name) class MainScr(Screen): def __init__(self,name='main'): super().__init__(name=name) class MyApp(App): def build(self): sm=ScreenManager() #sm.add_widget(MainScr(name='main')) sm.add_widget(FirstScr(name='first')) sm.add_widget(SecondScr(name='second')) sm.add_widget(ThirdScr(name='third')) sm.add_widget(FourthScr(name='fourth')) sm.add_widget(FivethScr(name='fiveth')) sm.add_widget(SixthScr(name='sixth')) return sm MyApp().run() ======= from kivy.app import App from kivy.uix.button import Button from kivy.uix.label import Label from kivy.uix.textinput import TextInput from kivy.uix.boxlayout import BoxLayout from kivy.uix.scrollview import ScrollView from kivy.uix.screenmanager import ScreenManager, Screen ##hi ######################### 123 main from instructions import * from scrollLabel import * from seconds import * from sits import * from runner import * from ruffier import * ##Hello age=0 name='' pulse1=0 pulse2=0 pulse3=0 #класс Первого экрана class FirstScr(Screen): def __init__(self,name='first'): super().__init__(name=name) lay1=BoxLayout(orientation='vertical') layh1=BoxLayout(size_hint=(1,.1)) layh2=BoxLayout(size_hint=(1,.1)) label_n=Label(text="Ваше имя: ") label_age=Label(text="Введите Ваш возраст: ") scl = ScrollLabel(ltext=txt_instruction,pos_hint={'center_y':.5}) self.name_val=TextInput(text='', multiline=False, size_hint=(.75,.9), pos_hint={"top":1,'center_x':.5}) self.age_val=TextInput(text='7', multiline=False, size_hint=(.75,.9), pos_hint={"top":1,'center_x':.5}) self.btn=Button(text="Продолжить",size_hint=(.33,.23), pos_hint={'top':0.5, 'center_x':.5}) self.btn.on_press=self.next layh1.add_widget(label_n) layh2.add_widget(label_age) layh1.add_widget(self.name_val) layh2.add_widget(self.age_val) lay1.add_widget(scl) lay1.add_widget(layh1) lay1.add_widget(layh2) lay1.add_widget(self.btn) self.add_widget(lay1) def next(self): global age, name age=int(self.age_val.text) name=self.name_val.text self.manager.current='second' class SecondScr(Screen): def __init__(self, name='second'): super().__init__(name=name) self.next_screen=False lay1=BoxLayout(orientation='vertical') lay2=BoxLayout(size_hint=(1,.1)) scrl=ScrollLabel(txt_test1) label=Label(text='Введите результат:') self.sec=Seconds(15,pos_hint={'center_x':.5}) self.sec.bind(done=self.sec_finished) self.ti=TextInput(text='0', multiline=False, size_hint=(.75,1.3), pos_hint={"top":1.3,'center_x':.5}) self.ti.set_disabled(True) self.btn=Button(text="Продолжить",size_hint=(.33,.23), pos_hint={'top':0.5, 'center_x':.5}) self.btn.on_press=self.next lay2.add_widget(label) lay2.add_widget(self.ti) lay1.add_widget(scrl) lay1.add_widget(self.sec) lay1.add_widget(lay2) lay1.add_widget(self.btn) self.add_widget(lay1) def next(self): if self.next_screen==False: self.sec.start() self.btn.set_disabled(True) else: global pulse1 pulse1=int(self.ti.text) self.manager.current='third' def sec_finished(self,*args): self.btn.set_disabled(False) self.btn.text='Продолжить' self.ti.set_disabled(False) self.next_screen=True class ThirdScr(Screen): def __init__(self, name='third'): super().__init__(name=name) self.next_screen=False instr=ScrollLabel(txt_sits,size_hint=(1,.1)) self.sits_value=Sits(30,size_hint=(1,.1)) self.run=Runner(total=30, steptime=1.5) self.run.bind(finished=self.run_finished) self.btn=Button(text='Начать', size_hint=(1,.1)) self.btn.on_press=self.next lay1=BoxLayout(orientation='vertical') lay1.add_widget(instr) lay1.add_widget(self.sits_value) lay1.add_widget(self.run) lay1.add_widget(self.btn) self.add_widget(lay1) def next(self): if self.next_screen==False: self.run.start() self.btn.set_disabled(True) self.run.bind(value=self.sits_value.next) else: self.manager.current='fourth' def run_finished(self,*args): self.next_screen=True self.btn.set_disabled(False) self.btn.text='Продолжить' class FourthScr(Screen): def __init__(self, name='fourth'): super().__init__(name=name) # флаг перехода к следующей страницы в False self.next_screen = False # режим работы секундомера self.stage = 0 # создаём виджеты instr1 = ScrollLabel(txt_test3) self.instr2 = ScrollLabel('Считайте пульс') # создаём секундомер (первый раз считает 15 секунд) self.sec = Seconds(15) # по завершению работы вызовем метод sec_finished self.sec.bind(done = self.sec_finished) res1_label = Label(text='Результат:') self.res1_value = TextInput(text='0') self.res1_value.set_disabled(True) res2_label = Label(text='Результат после отдыха:') self.res2_value = TextInput(text='0') self.res2_value.set_disabled(True) self.but = Button(text='Начать',size_hint=(1,0.2)) self.but.on_press = self.next # размещаем виджеты по направляющим hor1 = BoxLayout(size_hint=(1,0.2)) hor1.add_widget(res1_label) hor1.add_widget(self.res1_value) hor2 = BoxLayout(size_hint=(1,0.2)) hor2.add_widget(res2_label) hor2.add_widget(self.res2_value) ver = BoxLayout(orientation = 'vertical') ver.add_widget(instr1) ver.add_widget(self.instr2) ver.add_widget(self.sec) ver.add_widget(hor1) ver.add_widget(hor2) ver.add_widget(self.but) self.add_widget(ver) # метод срабатывает по завершению работы секундомера def sec_finished(self, instance, value): if value: # меняем режим работы секундомера (+1) self.stage += 1 # если отсчитали первые 15 секунд if self.stage == 1: # напишем Отдыхайте self.instr2.set_text('Отдыхайте') # перезапустим секундомер на 30 секунд self.sec.restart(30) # разблокировка res1_value self.res1_value.set_disabled(False) # если отсчитали второй раз (30 секунд ) elif self.stage == 2: # напишем считайте пульс self.instr2.set_text('Считайте пульт') # перезапускаем таймер на 15 секунд self.sec.restart(15) # если отсчитали третий раз (15 секунд) elif self.stage == 3: # разблокировка res2_value self.res2_value.set_disabled(False) # меняем текст кнопкп self.but.text = 'Завершить' # разблокировка but self.but.set_disabled(False) # можно переходить на следующий экран self.next_screen = True # метод отрабатываем при клике по кнопке def next(self): # если переходить на следующий экран нельзя if self.next_screen == False: # блокируем кнопку self.but.set_disabled(True) # запускаем секундомер (первый раз 15 сек) self.sec.start() else: # запоминаем пульс в глобальных переменных global pulse2, pulse3 pulse2 = int(self.res1_value.text) pulse3 = int(self.res2_value.text) # идем на четвертый экран self.manager.current = 'fiveth' # функция для формирования строки с результатом def get_result(): # вызываем функцию test из ruffier.py res = test(pulse1, pulse2, pulse3, age) # возвращаем строку с именем и результатом return name + '\n' + res[0] + '\n' + res[1] class FivethScr(Screen): def __init__(self, name='fiveth'): super().__init__(name=name) ver = BoxLayout(orientation='vertical', padding=8, spacing=8) # добавили один виджет, в нём будет результат измерений self.instr = ScrollLabel('') self.btn=Button(text="Заново",size_hint=(.33,.23), pos_hint={'top':0.5, 'center_x':.5}) self.btn.on_press = self.next ver.add_widget(self.instr) ver.add_widget(self.btn) self.add_widget(ver) # при показе экрана вызвать метод before self.on_enter = self.before def before(self): # установить в виджет результат get_result self.instr.set_text(get_result()) def next(self): self.manager.current = 'first' class SixthScr(Screen): def __init__(self, name='sixth'): super().__init__(name=name) class MainScr(Screen): def __init__(self,name='main'): super().__init__(name=name) class MyApp(App): def build(self): sm=ScreenManager() #sm.add_widget(MainScr(name='main')) sm.add_widget(FirstScr(name='first')) sm.add_widget(SecondScr(name='second')) sm.add_widget(ThirdScr(name='third')) sm.add_widget(FourthScr(name='fourth')) sm.add_widget(FivethScr(name='fiveth')) sm.add_widget(SixthScr(name='sixth')) return sm MyApp().run() #######main

33.47156

111

0.613803

2,333

18,242

4.626232

0.099014

0.070045

0.038544

0.022051

0.998425

0

0.027282

0.266583

18,242

544

112

33.533088

0.77943

0.129043

0

0.994924

0

0.052488

0

null

0

0.06599

null

0

null

0

1

0

1

0

null

0

1

0

8

91e622b4fe48c9d86042f7ce1ec38d4a54688749

93,220

py

Python

state_scrapper/testCode/testConn.py

nikmend/state-scrapper

39c902320ea97605857ef74789e578dbdb7ccfd0

[ "CC0-1.0" ]

null

state_scrapper/testCode/testConn.py

nikmend/state-scrapper

39c902320ea97605857ef74789e578dbdb7ccfd0

[ "CC0-1.0" ]

null

state_scrapper/testCode/testConn.py

nikmend/state-scrapper

39c902320ea97605857ef74789e578dbdb7ccfd0

[ "CC0-1.0" ]

null

import mysql.connector mydb = mysql.connector.connect( database='mobicrol_DB', host="mobicrol.heliohost.org", user="mobicrol_admin", password="X->e^QW%K{|v12~#" ) mycursor = mydb.cursor() #mycursor.execute("Select * from states") #myresult = mycursor.fetchall() myli = [ "INSERT INTO states ( id_web, title, description, url, type, price, agency_name, city, sector, latitude, longitude, address, postal_code, built_area, private_area, last_date, strata, floors, antiquity, bedrooms, bathrooms, garages, features, agency_address, agency_contact, agency_phone ) VALUES ( '5434-C0003-08', 'Proyecto LUMINIUM, Apartamentos nuevos en Rincon del chico, Bogotxc3xa1 D.C. - Id 003', 'Exclusivo proyecto con excelente ubicacixc3xb3n, 70 apartamentos en 8 pisos con las mejores especificaciones (ventanerxc3xada acxc3xbastica en habitaciones). Lobby tipo hotel, Salxc3xb3n social, Lockers para las empleadas del servicio domxc3xa9stico con baxc3xb1o, Business center, Oficina de administracixc3xb3n y Terraza comunal con Gimnasio, pista de trote, parque infantil, spot de mascotas y bbq. Parqueadero de visitantes, bicicletero, planta elxc3xa9ctrica de suplencia total y sistema de captacixc3xb3n de aguas pluviales. 22 meses para pago de cuota inicial', '392564000', 'https://www.metrocuadrado.com/proyecto/luminium/5434-C0003', 'Apartamento', 'Bogotxc3xa1 D.C.', 'CHICO SAN PATRICIO', '4.68919', '-74.04276', 'Calle 106 13-28', '110111', '52.73', '47.58', '2020-08-08', '5', 'NULL', 'En Construccion', '2', '2', '1', '{\"CODIGO_WEB:\": \"5434-C0003\", \"NOMBRE_COMUN_DEL_BARRIO\": \"CHICO SAN PATRICIO\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"RINCON DEL CHICO\", \"ESTRATO\": \"5\", \"VALOR_DESDE/HASTA\": \"Desde $347.108.000 hasta $625.004.000\", \"AREA_CONSTRUIDA_DESDE/HASTA\": \"Desde 38.99 hasta 79.63\", \"AREA_PRIVADA_DESDE/HASTA\": \"Desde 35.13 hasta 86.07\", \"TIEMPO_DE_CONSTRUIDO\": \"En Construccion\", \"ETAPA_DE_CONSTRUCCION TIEMPO_DE_CONSTRUIDO\": \"En construccion\", \"MONEDA\": \"Peso colombiano\", \"VIGILANCIA\": \"24hrs\", \"FECHA_ESTIMADA_DE_ENTREGA\": \"04-2022\", \"PARQUEADERO_DE_VISITANTES\": \"Si\"}', 'Consucasa SAS', 'Calle 119 # 72 a - 26', '3212686024/ (1) 7430066 Ext: 531/ 3213137285', '573213137285' )", "INSERT INTO states ( id_web, title, description, url, type, price, agency_name, city, sector, latitude, longitude, address, postal_code, built_area, private_area, last_date, strata, floors, antiquity, bedrooms, bathrooms, garages, features, agency_address, agency_contact, agency_phone ) VALUES ( '681-446', 'Venta de Apartamento en Santa monica - Bogotxc3xa1 D.C. - 681-446', 'Apartamento ubicado en exclusivo y central sector, habitaciones amplias para la familia, inmueble en buen estado, buenas vxc3xadas de acceso', 'https://www.metrocuadrado.com/inmueble/venta-apartamento-bogota-sabanalarga-3-habitaciones-3-banos-2-garajes/681-446', 'Apartamento', '930000000', 'PUNTO INMOBILIARIO - B.M. S.A.S', 'Bogotxc3xa1 D.C.', 'Santa Monica', '4.707255893469122', '-74.04345375514912', 'Calle 127ABISA 15-58', '110121', '180.00', '180.00', '2020-08-08', '6', 'NULL', 'Entre 10 y 20 anos', '3', '3', '2', '{\"CODIGO_WEB\": \"681-446\", \"NOMBRE_COMUN_DEL_BARRIO\": \"Santa Monica\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"SABANALARGA\", \"ESTRATO\": \"6\", \"VALOR_DE_VENTA\": \"$930.000.000\", \"VALOR_DE_ADMINISTRACION\": \"$690.600\", \"AREA_CONSTRUIDA\": \"180.00 m\", \"AREA_PRIVADA\": \"180.00 m\", \"HABITACIONES\": \"3\", \"BANOS\": \"3\", \"PARQUEADERO\": \"2\", \"TIEMPO_DE_CONSTRUIDO\": \"Entre 10 y 20 anos\", \"ESTUDIO_O_BIBLIOTECA\": \"Si\", \"TIPO_INSTALACION_DE_GAS\": \"Natural\", \"CUARTO_DE_SERVICIO\": \"Si\", \"TIPO_DE_CORTINAS\": \"Persianas\", \"complementsAndFinishes\": [\"Con chimenea\", \"Gimnasio\", \"Salon comunal\", \"Zona para ninos\"]}', 'AVENIDA 15 No 124 -65 OF 704', '6204300/ 3124332588/ AV 15 # 124-65/ PUNTO INMOBILIARIO - B.M. S.A.S:/ PUNTO INMOBILIARIO - B.M. S.A.S', '573124332588' )", "INSERT INTO states ( id_web, title, description, url, type, price, agency_name, city, sector, latitude, longitude, address, postal_code, built_area, private_area, last_date, strata, floors, antiquity, bedrooms, bathrooms, garages, features, agency_address, agency_contact, agency_phone ) VALUES ( '681-432', 'Venta y arriendo de Bodega en Prado veraniego - Bogotxc3xa1 D.C. - 681-432', 'Arriendo o vendo bodega situada en el barrio prado veraniego, de tres pisos, tres baxc3xb1os , puntos de luz trifxc3xa1sica y monofxc3xa1sica doscientos veinte y ciento diez v ,carga de energxc3xada treintakw con trifxc3xa1sica , la placa de la bodega soporta un peso de dos.cero klg por metro cuadrado en el primer piso, en los pisos dos y tres el peso a soportar es de doscientoskg por metro cuadrado.', 'https://www.metrocuadrado.com/inmueble/venta-bodega-bogota-prado-veraniego-norte/681-432', 'Bodega', '2000000000', 'PUNTO INMOBILIARIO - B.M. S.A.S', 'Bogotxc3xa1 D.C.', 'PRADO VERANIEGO', '4.718366979453166', '-74.06691208047147', 'Carrera 57A 129B-1', '111111', '390.00', '390.00', '2020-08-08', '3', 'NULL', 'Entre 0 y 5 anos', '', '', '', '{\"CODIGO_WEB\": \"681-432\", \"NOMBRE_COMUN_DEL_BARRIO\": \"PRADO VERANIEGO\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"PRADO VERANIEGO NORTE\", \"ESTRATO\": \"3\", \"VALOR_DE_ARRIENDO\": \"$14.000.000\", \"VALOR_DE_VENTA\": \"$2.000.000.000\", \"AREA_CONSTRUIDA\": \"390.00 m\", \"AREA_PRIVADA\": \"390.00 m\", \"TIEMPO_DE_CONSTRUIDO\": \"Entre 0 y 5 anos\", \"TIPO_BODEGA\": \"Otro\", \"complementsAndFinishes\": []}', 'AVENIDA 15 No 124 -65 OF 704', '6204300/ 3124332588/ AV 15 # 124-65/ PUNTO INMOBILIARIO - B.M. S.A.S:/ PUNTO INMOBILIARIO - B.M. S.A.S', '573124332588' )", "INSERT INTO states ( id_web, title, description, url, type, price, agency_name, city, sector, latitude, longitude, address, postal_code, built_area, private_area, last_date, strata, floors, antiquity, bedrooms, bathrooms, garages, features, agency_address, agency_contact, agency_phone ) VALUES ( '681-429', 'Venta de Apartamento en Chico alto - Bogotxc3xa1 D.C. - 681-429', 'Hermoso apartamento, ubicado en exclusivo sector de la ciudad. Duplex, espectacular zona social, tres alcobas, dos de ellas con walking closet y baxc3xb1o. Todas las xc3xa1reas del apartamento tienen acceso a las terrazas.', 'https://www.metrocuadrado.com/inmueble/venta-apartamento-bogota-bosque-de-bellavista-3-habitaciones-5-banos-2-garajes/681-429', 'Apartamento', '3200000000', 'PUNTO INMOBILIARIO - B.M. S.A.S', 'Bogotxc3xa1 D.C.', 'Chico Alto', '4.674491536261334', '-74.02694634878162', 'Carrera 1G Este 101B-0', '110111', '374.00', '305.00', '2020-08-08', '6', 'NULL', 'Entre 0 y 5 anos', '5', '5', '2', '{\"CODIGO_WEB\": \"681-429\", \"NOMBRE_COMUN_DEL_BARRIO\": \"Chico Alto\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"BOSQUE DE BELLAVISTA\", \"ESTRATO\": \"6\", \"VALOR_DE_VENTA\": \"$3.200.000.000\", \"VALOR_DE_ADMINISTRACION\": \"$3.128.000\", \"AREA_CONSTRUIDA\": \"374.00 m\", \"AREA_PRIVADA\": \"305.00 m\", \"HABITACIONES\": \"3\", \"BANOS\": \"5 o mas\", \"PARQUEADERO\": \"2\", \"TIEMPO_DE_CONSTRUIDO\": \"Entre 0 y 5 anos\", \"ESTUDIO_O_BIBLIOTECA\": \"Si\", \"TIPO_COMEDOR\": \"Comedor Independiente\", \"ZONA_DE_LAVANDERIA\": \"Si\", \"TIPO_DE_ACABADO_PISO\": \"Madera\", \"TIPO_DE_PISO_EN_ALCOBAS\": \"Madera\", \"VIGILANCIA\": \"24hrs\", \"complementsAndFinishes\": []}', 'AVENIDA 15 No 124 -65 OF 704', '6204300/ 3124332588/ AV 15 # 124-65/ PUNTO INMOBILIARIO - B.M. S.A.S:/ PUNTO INMOBILIARIO - B.M. S.A.S', '573124332588' )", "INSERT INTO states ( id_web, title, description, url, type, price, agency_name, city, sector, latitude, longitude, address, postal_code, built_area, private_area, last_date, strata, floors, antiquity, bedrooms, bathrooms, garages, features, agency_address, agency_contact, agency_phone ) VALUES ( '681-M2261735', 'Venta de Casa en Gratamira - Bogotxc3xa1 D.C. - 681-M2261735', 'Hermosa casa, en conjunto cerrado con cancha de fxc3xbatbol, cancha de tenis, parque, senderos peatonales, sector tranquilo y exclusivo, total de casas 23 . La casa cuenta con 4 habitaciones, estudio, alcoba y baxc3xb1o de servicio, zona de bbq , todos los pisos son en madera natural. Vxc3xadas de acceso por la avenida Boyacxc3xa1, la Suba, Calle 138, 134. Muy cerca a importantes centros comerciales, Parque de la Colina, Porto Alegre y Bulevar Niza.', 'https://www.metrocuadrado.com/inmueble/venta-casa-bogota-iberia-4-habitaciones-4-banos-3-garajes/681-M2261735', 'Casa', '950000000', 'PUNTO INMOBILIARIO - B.M. S.A.S', 'Bogotxc3xa1 D.C.', 'GRATAMIRA', '4.727828502655029', '-74.07007598876953', 'Avenida Boyacxc3xa1 134-0', '111121', '220', '201', '2020-08-08', '5', '2', 'Entre 10 y 20 anos', '4', '4', '3', '{\"CODIGO_WEB\": \"681-M2261735\", \"NOMBRE_COMUN_DEL_BARRIO\": \"GRATAMIRA\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"IBERIA\", \"ESTRATO\": \"5\", \"VALOR_DE_VENTA\": \"$950.000.000\", \"VALOR_DE_ADMINISTRACION\": \"$792.000\", \"AREA_CONSTRUIDA\": \"220 m\", \"AREA_PRIVADA\": \"201 m\", \"HABITACIONES\": \"4\", \"BANOS\": \"4\", \"PARQUEADERO\": \"3\", \"TIPO_DE_PARQUEADERO\": \"Propio\", \"DEPOSITOS\": \"1\", \"CONJUNTO_CERRADO\": \"Si\", \"TIEMPO_DE_CONSTRUIDO\": \"Entre 10 y 20 anos\", \"TIPO_DE_CASA\": \"Condominio\", \"NUMERO_DE_NIVELES\": \"2\", \"ESTUDIO_O_BIBLIOTECA\": \"Si\", \"TERRAZA/BALCON\": \"Balcon\", \"AREA_TERRAZA/BALCON\": \"6\", \"TIPO_DE_COCINA\": \"Lineal\", \"TIPO_COMEDOR\": \"Comedor Independiente\", \"TIPO_INSTALACION_DE_GAS\": \"Natural\", \"TIPO_DE_ESTUFA\": \"Gas\", \"TIPO_DE_CALENTADOR\": \"Gas\", \"CUARTO_DE_SERVICIO\": \"Si\", \"VISTA\": \"Interior\", \"ZONA_DE_LAVANDERIA\": \"Si\", \"TIPO_DE_ACABADO_PISO\": \"Madera\", \"TIPO_DE_PISO_EN_ALCOBAS\": \"Madera\", \"TIPO_DE_PISO_EN_ESTUDIO\": \"Madera\", \"TIPO_DE_PISO_EN_COMEDOR\": \"Madera\", \"TIPO_DE_PISO_EN_SALA\": \"Madera\", \"VIGILANCIA\": \"24hrs\", \"CERCA_TRANSPORTE_PUBLICO\": \"Si\", \"CERCA_COLEGIOS_/_UNIVERSIDADES\": \"Si\", \"CERCA_SUPERMERCADOS\": \"Si\", \"CERCA_CENTROS_COMERCIALES\": \"Si\", \"complementsAndFinishes\": [\"Comedor auxiliar\", \"Vista panoramica\", \"Cancha(s) de Tennis\", \"Cancha(s) de Futbol\", \"Zonas verdes\", \"Sendero peatonal\", \"Jardin\", \"Apto para ninos\", \"Circuito cerrado de TV\", \"Citofonos\"]}', 'AVENIDA 15 No 124 -65 OF 704', '6204300/ (1) 6204300/ olga lucia rueda salazar/ 3124332588/ AV 15 # 124-65/ Agente Inmobiliario:/ 3112514804/ PUNTO INMOBILIARIO - B.M. S.A.S', '573112514804' )", "INSERT INTO states ( id_web, title, description, url, type, price, agency_name, city, sector, latitude, longitude, address, postal_code, built_area, private_area, last_date, strata, floors, antiquity, bedrooms, bathrooms, garages, features, agency_address, agency_contact, agency_phone ) VALUES ( 'MC2632790', 'Venta de Apartamento en Cedritos - Bogotxc3xa1 D.C. - MC2632790', 'REMODELADO, Hermoso apartamento, ubicado en Cedritos, zona de altxc3xadsima valorizacixc3xb3n y rodeado de importantes avdas como: Novena, Cra Quince, Calle Ciento cuarenta. Encontramos grandes almacenes como Exito, Olxc3xadmpica, Carulla, Home Center y Centros Ciales como Palatino y Cedritos. El apartamento estxc3xa1 ubicado en cuarto piso con ascensor, parqueadero. Su distribucixc3xb3n le permite tener excelente luz natural, habitaciones muy amplias. Cocina Integral cerrada muy amplia e iluminada. Pisos en PVC.', 'https://www.metrocuadrado.com/inmueble/venta-apartamento-bogota-cedro-narvaez-3-habitaciones-2-banos-1-garajes/MC2632790', 'Apartamento', '340000000', 'Elvira Saby Thais', 'Bogotxc3xa1 D.C.', 'Cedritos', '4.7258325', '-74.03971', 'Calle 145 13A-58', '110121', '78.27', '78.27', '2020-08-08', 'NULL', 'NULL', 'Entre 0 y 5 anos', '2', '2', '1', '{\"CODIGO_WEB\": \"MC2632790\", \"NOMBRE_COMUN_DEL_BARRIO\": \"Cedritos\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"CEDRO NARVAEZ\", \"VALOR_DE_VENTA\": \"$340.000.000\", \"NUMERO_DE_PISO\": \"4\", \"TIEMPO_DE_CONSTRUIDO\": \"Entre 0 y 5 anos\", \"AREA_CONSTRUIDA\": \"78.27 m\", \"AREA_PRIVADA\": \"78.27 m\", \"HABITACIONES\": \"3\", \"BANOS\": \"2\", \"PARQUEADERO\": \"1\", \"TIPO_DE_PARQUEADERO\": \"Propio\", \"CARACTERISTICAS_DEL_PARQUEADERO\": \"Descubierto\", \"complementsAndFinishes\": [\"Cocina integral\", \"Citofonos\", \"Con chimenea\", \"Vigilancia\", \"Ascensor\", \"Conjunto cerrado\", \"Parqueadero visitantes\", \"Porteria\", \"Zona para ninos\", \"Zonas verdes\", \"Cerca Centros Comerciales\", \"Cerca Colegios / Universidades\", \"Cerca Parques\", \"Cerca Supermercados\", \"Cerca Transporte Publico\", \"Zona Residencial\"]}', 'NULL', 'Elvira Saby Thais:/ 8161146/ Elvira Saby Thais/ 3138161146', '573138161146' )", "INSERT INTO states ( id_web, title, description, url, type, price, agency_name, city, sector, latitude, longitude, address, postal_code, built_area, private_area, last_date, strata, floors, antiquity, bedrooms, bathrooms, garages, features, agency_address, agency_contact, agency_phone ) VALUES ( 'MC1813654', 'Venta de Apartamento en Gran granada - Bogotxc3xa1 D.C. - MC1813654', 'Espectacular Vista... Zona de alta valorizacixc3xb3n, con salida directa a la Calle 80, cerca a comercio, a industria y a colegios Cota Siberia Tenjo ', 'https://www.metrocuadrado.com/inmueble/venta-apartamento-bogota-centro-engativa-3-habitaciones-2-banos-1-garajes/MC1813654', 'Apartamento', '240000000', 'Diana Marcela Castro', 'Bogotxc3xa1 D.C.', 'gran granada', '4.719544', '-74.13024749', 'Calle 74A 116C-60', '111031', '60', '60', '2020-08-08', 'NULL', 'NULL', 'Entre 0 y 5 anos', '2', '2', '1', '{\"CODIGO_WEB\": \"MC1813654\", \"NOMBRE_COMUN_DEL_BARRIO\": \"gran granada\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"CENTRO ENGATIVA\", \"VALOR_DE_VENTA\": \"$240.000.000\", \"NUMERO_DE_PISO\": \"9\", \"TIEMPO_DE_CONSTRUIDO\": \"Entre 0 y 5 anos\", \"AREA_CONSTRUIDA\": \"60 m\", \"AREA_PRIVADA\": \"60 m\", \"HABITACIONES\": \"3\", \"BANOS\": \"2\", \"PARQUEADERO\": \"1\", \"TIPO_DE_PARQUEADERO\": \"Propio\", \"CARACTERISTICAS_DEL_PARQUEADERO\": \"Cubierto\", \"complementsAndFinishes\": [\"Cocina integral\", \"Bano Auxiliar\", \"Citofonos\", \"Cocina Tipo Americano\", \"Vigilancia\", \"Equipado / Amoblado\", \"Piso en madera\", \"Zona de lavanderia\", \"Ascensor\", \"Conjunto cerrado\", \"Parqueadero visitantes\", \"Porteria\", \"Salon comunal\", \"Zona para ninos\", \"Zonas verdes\", \"Cerca Centros Comerciales\", \"Cerca Colegios / Universidades\", \"Cerca Parques\", \"Cerca Supermercados\", \"Cerca Transporte Publico\", \"Ubicado en Edificio\", \"Zona Residencial\"]}', 'NULL', 'Diana Marcela Castro/ Diana Marcela Castro:/ 3203399370/ 3015965448', '573203399370' )", "INSERT INTO states ( id_web, title, description, url, type, price, agency_name, city, sector, latitude, longitude, address, postal_code, built_area, private_area, last_date, strata, floors, antiquity, bedrooms, bathrooms, garages, features, agency_address, agency_contact, agency_phone ) VALUES ( 'MC2415768', 'Venta de Apartamento en Mazuren - Bogotxc3xa1 D.C. - MC2415768', 'Apto en venta directa, Primer Piso, remodelado, 3 habitaciones, 1 baxc3xb1o, Cocina integral, patio de Ropas, Sala Comedor que Incluye mueble funcional para el living, en conjunto residencial cerrado que cuenta con Salxc3xb3n Comunal, gym, 2 parques infantiles, estrato 4, a 5 minutos del centro comercial parque la colina, xc3xa9xito de la Colina, Clxc3xadnica la Colina, Parqueadero Comunal', 'https://www.metrocuadrado.com/inmueble/venta-apartamento-bogota-gilmar-3-habitaciones-1-banos-1-garajes/MC2415768', 'Apartamento', '210000000', 'Yulieth Yulieth', 'Bogotxc3xa1 D.C.', 'mazuren', '4.743928', '-74.06217', 'Carrera 59 160-46', '111156', '49', '46.30', '2020-08-08', 'NULL', 'NULL', 'Entre 5 y 10 anos', '1', '1', '1', '{\"CODIGO_WEB\": \"MC2415768\", \"NOMBRE_COMUN_DEL_BARRIO\": \"mazuren\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"GILMAR\", \"VALOR_DE_VENTA\": \"$210.000.000\", \"NUMERO_DE_PISO\": \"1\", \"TIEMPO_DE_CONSTRUIDO\": \"Entre 5 y 10 anos\", \"AREA_CONSTRUIDA\": \"49 m\", \"AREA_PRIVADA\": \"46.30 m\", \"HABITACIONES\": \"3\", \"BANOS\": \"1\", \"PARQUEADERO\": \"1\", \"TIPO_DE_PARQUEADERO\": \"Comunal\", \"CARACTERISTICAS_DEL_PARQUEADERO\": \"Cubierto\", \"complementsAndFinishes\": [\"Cocina integral\", \"Vigilancia\", \"Piso en madera\", \"Zona de lavanderia\", \"Conjunto cerrado\", \"Parqueadero visitantes\", \"Porteria\", \"Salon comunal\", \"Zona para ninos\", \"Cerca Centros Comerciales\", \"Cerca Colegios / Universidades\", \"Cerca Parques\", \"Cerca Supermercados\", \"Cerca Transporte Publico\", \"Zona Comercial\", \"Zona Residencial\"]}', 'NULL', 'Yulieth Yulieth/ 3103210391/ Yulieth Yulieth:', 'NULL' )", "INSERT INTO states ( id_web, title, description, url, type, price, agency_name, city, sector, latitude, longitude, address, postal_code, built_area, private_area, last_date, strata, floors, antiquity, bedrooms, bathrooms, garages, features, agency_address, agency_contact, agency_phone ) VALUES ( '681-457', 'Venta de Apartamento en Colina campestre - Bogotxc3xa1 D.C. - 681-457', 'Apartamento en excelente estado en segundo piso,ubicado en tranquilo y central sector cuenta con tres habitaciones cada uno con sus baxc3xb1os, dos parqueaderos, cuenta con salones de estudio.', 'https://www.metrocuadrado.com/inmueble/venta-apartamento-bogota-santa-helena-i-3-habitaciones-3-banos-2-garajes/681-457', 'Apartamento', '600000000', 'PUNTO INMOBILIARIO - B.M. S.A.S', 'Bogotxc3xa1 D.C.', 'COLINA CAMPESTRE', '4.733185967592347', '-74.0627852136668', 'Avenida Carrera 58 146A-0', '111156', '111.00', '111.00', '2020-08-08', '5', 'NULL', 'Entre 10 y 20 anos', '3', '3', '2', '{\"CODIGO_WEB\": \"681-457\", \"NOMBRE_COMUN_DEL_BARRIO\": \"COLINA CAMPESTRE\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"SANTA HELENA I\", \"ESTRATO\": \"5\", \"VALOR_DE_VENTA\": \"$600.000.000\", \"VALOR_DE_ADMINISTRACION\": \"$350.000\", \"AREA_CONSTRUIDA\": \"111.00 m\", \"AREA_PRIVADA\": \"111.00 m\", \"HABITACIONES\": \"3\", \"BANOS\": \"3\", \"PARQUEADERO\": \"2\", \"TIEMPO_DE_CONSTRUIDO\": \"Entre 10 y 20 anos\", \"ESTUDIO_O_BIBLIOTECA\": \"Si\", \"TIPO_COMEDOR\": \"Sala Comedor\", \"complementsAndFinishes\": []}', 'AVENIDA 15 No 124 -65 OF 704', '6204300/ 3124332588/ AV 15 # 124-65/ PUNTO INMOBILIARIO - B.M. S.A.S:/ PUNTO INMOBILIARIO - B.M. S.A.S', '573124332588' )", #"INSERT INTO states ( id_web, title, description, url, type, price, agency_name, city, sector, latitude, longitude, address, postal_code, built_area, private_area, last_date, strata, floors, antiquity, bedrooms, bathrooms, garages, features, agency_address, agency_contact, agency_phone ) VALUES ( '1821-C0006-07', 'Proyecto Vixc3xba Park 118, Apartamentos nuevos en Santa barbara occidental, Bogotxc3xa1 D.C. - Id 006', 'El proyecto inmobiliario de vivienda Vixc3xba Park 118 se encontrarxc3xa1 localizado en la Calle 116 # 18 B 08, en el sector de Santa Bxc3xa1rbara Occidental, una de las zonas de mayor desarrollo inmobiliario del norte de Bogotxc3xa1, Se desarrolla en una torre residencial de ocho (08) pisos sobre la Calle 116 y de seis (6) pisos sobre la Calle 118. El Proyecto contarxc3xa1 con un moderno lobby tipo hotel, un (1) salxc3xb3n comunal, un (1) gimnasio, un (1) salxc3xb3n de juegos, una (1) oficina para la administracixc3xb3n, perrera con capacidad para dos (2) perros, planta elxc3xa9ctrica de suplencia parcial, dos (2) ascensores de xc3xbaltima tecnologxc3xada, dos (2) escaleras de evacuacixc3xb3n cerradas y cubierta comunal con BBQ, con xc3xa1reas de recreacixc3xb3n activa y pasiva.', '567285461', 'https://www.metrocuadrado.com/proyecto/viu-park-118/1821-C0006', 'Apartamento', 'Bogotxc3xa1 D.C.', 'SANTA BARBARA OCCIDENTAL', '4.699173', '-74.047585', 'Carrera 18 118-37', '110111', '64.55', '53.67', '2020-08-08', '5', 'NULL', 'Sobre Plano', '2', '2', '1', '{\"CODIGO_WEB:\": \"1821-C0006\", \"NOMBRE_COMUN_DEL_BARRIO\": \"SANTA BARBARA OCCIDENTAL\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"SANTA BARBARA OCCIDENTAL\", \"ESTRATO\": \"5\", \"VALOR_DESDE/HASTA\": \"Desde $435.862.256 hasta $617.143.808\", \"AREA_CONSTRUIDA_DESDE/HASTA\": \"Desde 55.33 hasta 69.8\", \"AREA_PRIVADA_DESDE/HASTA\": \"Desde 48.65 hasta 63.94\", \"TIEMPO_DE_CONSTRUIDO\": \"Sobre Plano\", \"ETAPA_DE_CONSTRUCCION/TIEMPO_DE_CONSTRUIDO\": \"En construccion\", \"MONEDA\": \"Peso colombiano\", \"VIGILANCIA\": \"24hrs\", \"FECHA_ESTIMADA_DE_ENTREGA\": \"04-2022\", \"PARQUEADERO_DE_VISITANTES\": \"Si\", \"complementsAndFinishes\": []}', 'GRADECO CONSTRUCCIONES Y CIA S.A.', 'AVENIDA CARRERA 19 # 120 - 71', '(1) 7424250 Ext: 116/ 3023336520', '573023336520' )", "INSERT INTO states ( id_web, title, description, url, type, price, agency_name, city, sector, latitude, longitude, address, postal_code, built_area, private_area, last_date, strata, floors, antiquity, bedrooms, bathrooms, garages, features, agency_address, agency_contact, agency_phone ) VALUES ( '5175-326', 'Venta y arriendo de Casa en Altos de provenza - Bogotxc3xa1 D.C. - 5175-326', 'Espectacular casa, dos pisos, amplios espacios, iluminada. El segundo piso tiene un xc3xa1rea social amplia, una segunda cocina, balcones, chimenea, un estudio y un cuarto con baxc3xb1o. Mayor informacixc3xb3n www.brikss.com.', 'https://www.metrocuadrado.com/inmueble/venta-casa-bogota-niza-suba-4-habitaciones-5-banos-4-garajes/5175-326', 'Casa', '3500000000', 'BRIKSS SAS', 'Bogotxc3xa1 D.C.', 'ALTOS DE PROVENZA', '4.72816722', '-74.07561954', 'Carrera 76A 135-35', '111121', '740', '0', '2020-08-08', '6', 'NULL', 'Entre 10 y 20 anos', '5', '5', '4', '{\"CODIGO_WEB\": \"5175-326\", \"NOMBRE_COMUN_DEL_BARRIO\": \"ALTOS DE PROVENZA\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"NIZA SUBA\", \"ESTRATO\": \"6\", \"VALOR_DE_ARRIENDO\": \"$12.000.000\", \"VALOR_DE_VENTA\": \"$3.500.000.000\", \"AREA_CONSTRUIDA\": \"740 m\", \"AREA_DEL_LOTE\": \"740 m\", \"HABITACIONES\": \"4\", \"BANOS\": \"5 o mas\", \"PARQUEADERO\": \"4 o mas\", \"TIEMPO_DE_CONSTRUIDO\": \"Entre 10 y 20 anos\", \"TIPO_DE_CASA\": \"Tradicional\", \"ESTUDIO_O_BIBLIOTECA\": \"Si\", \"TERRAZA/BALCON\": \"Terraza\", \"CUARTO_DE_SERVICIO\": \"Si\", \"TIPO_DE_ACABADO_PISO\": \"Otro\", \"TIPO_DE_PISO_EN_ALCOBAS\": \"Otro\", \"TIPO_DE_PISO_EN_ESTUDIO\": \"Otro\", \"VIGILANCIA\": \"24hrs\", \"complementsAndFinishes\": [\"Hall de Alcobas\", \"Puertas de seguridad\", \"Citofonos\"]}', 'CL 93B # 13 - 14 OF 307', 'CL 93B # 13 - 14 OF 307/ 4661864/ BRIKSS SAS - Principal:/ 3183757239/ BRIKSS SAS - Principal', '573183757239' )", "INSERT INTO states ( id_web, title, description, url, type, price, agency_name, city, sector, latitude, longitude, address, postal_code, built_area, private_area, last_date, strata, floors, antiquity, bedrooms, bathrooms, garages, features, agency_address, agency_contact, agency_phone ) VALUES ( '2120-904489', 'Venta de Apartamento en Cerros de los alpes - Bogotxc3xa1 D.C. - 2120-904489', 'Espectacular apto en cerros de los alpes de 326 mas 26 de terraza, piso , ascensor directo, vista a todo Bogota, esquinero, exterior, cuartos cada uno con bano, estudio, estar de tv, parqueaderos independientes. Club house y zonas verdes', 'https://www.metrocuadrado.com/inmueble/venta-apartamento-bogota-cerros-de-santa-barbara-4-habitaciones-5-banos-3-garajes/2120-904489', 'Apartamento', '2600000000', 'Fonnegra Fonnegra y Cia Ltda', 'Bogotxc3xa1 D.C.', 'CERROS DE LOS ALPES', '4.696831226348877', '-74.0276107788086', 'Carrera 3B 121-49', '110111', '326', '326', '2020-08-08', '6', 'NULL', 'Entre 5 y 10 anos', '5', '5', '3', '{\"CODIGO_WEB\": \"2120-904489\", \"NOMBRE_COMUN_DEL_BARRIO\": \"CERROS DE LOS ALPES\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"CERROS DE SANTA BARBARA\", \"ESTRATO\": \"6\", \"VALOR_DE_VENTA\": \"$2.600.000.000\", \"VALOR_DE_ADMINISTRACION\": \"$1.000.000\", \"AREA_CONSTRUIDA\": \"326 m\", \"AREA_PRIVADA\": \"326 m\", \"HABITACIONES\": \"4\", \"BANOS\": \"5 o mas\", \"PARQUEADERO\": \"3\", \"TIPO_DE_PARQUEADERO\": \"Independiente\", \"CONJUNTO_CERRADO\": \"Si\", \"TIEMPO_DE_CONSTRUIDO\": \"Entre 5 y 10 anos\", \"ESTUDIO_O_BIBLIOTECA\": \"Si\", \"TERRAZA/BALCON\": \"Balcon\", \"AREA_TERRAZA/BALCON\": \"26\", \"CUARTO_DE_SERVICIO\": \"Si\", \"ZONA_DE_LAVANDERIA\": \"Si\", \"NUMERO_DE_CLOSETS\": \"4\", \"TIPO_DE_CORTINAS\": \"Persianas\", \"NUMERO_DE_PISO\": \"5\", \"NUMERO_DE_ASCENSORES\": \"2\", \"VIGILANCIA\": \"24hrs\", \"CERCA_TRANSPORTE_PUBLICO\": \"Si\", \"CERCA_COLEGIOS_/_UNIVERSIDADES\": \"Si\", \"CERCA_PARQUES\": \"Si\", \"CERCA_SUPERMERCADOS\": \"Si\", \"CERCA_CENTROS_COMERCIALES\": \"Si\", \"ASCENSOR\": \"Si\", \"ZONA_DE_BBQ\": \"Si\", \"complementsAndFinishes\": [\"Comedor auxiliar\", \"Hall de Alcobas\", \"Cuarto de escoltas\", \"Vista panoramica\", \"Piscina\", \"Cancha(s) de Tennis\", \"Cancha(s) de squash\", \"Cancha(s) de Basket\", \"Cancha(s) de Futbol\", \"Gimnasio\", \"Sauna y/o turco\", \"Zonas verdes\", \"Salon comunal\", \"Zona para ninos\", \"Acceso para discapacitados\", \"Apto para ninos\", \"Se Permite Fumar\", \"Sobre via secundaria\", \"Alarma\", \"Puertas de seguridad\", \"Circuito cerrado de TV\", \"Citofonos\"]}', '-', '6156742/ Fonnegra Fonnegra y Cia Ltda - Principal/ 3153333651/ Fonnegra Fonnegra y Cia Ltda - Principal:', '573153333651' )", "INSERT INTO states ( id_web, title, description, url, type, price, agency_name, city, sector, latitude, longitude, address, postal_code, built_area, private_area, last_date, strata, floors, antiquity, bedrooms, bathrooms, garages, features, agency_address, agency_contact, agency_phone ) VALUES ( '777-M2060731', 'Venta de Apartamento en El limonar - Bogotxc3xa1 D.C. - 777-M2060731', 'Apartamento de dos alcobas en un segundo piso con balcon de alcoba principal hasta la sala, cocina americana abierta en L, con zona de ropas independiente, pisos en madera laminada, alcoba principal con baxc3xb1o privado.Conjunto cuenta con piscina, zonas hxc3xbamedas, gym, salen de juegos, parque infantil, porterxc3xada, sala de espera etc.', 'https://www.metrocuadrado.com/inmueble/venta-apartamento-bogota-lisboa-2-habitaciones-2-banos-1-garajes/777-M2060731', 'Apartamento', '330000000', 'ALOJAR INMOBILIARIA S.A.', 'Bogotxc3xa1 D.C.', 'EL LIMONAR', '4.716963291168213', '-74.03605651855469', 'Calle 135C 11-33', '110121', '60', '60', '2020-08-08', '5', 'NULL', 'Entre 5 y 10 anos', '2', '2', '1', '{\"CODIGO_WEB\": \"777-M2060731\", \"NOMBRE_COMUN_DEL_BARRIO\": \"EL LIMONAR\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"LISBOA\", \"ESTRATO\": \"5\", \"VALOR_DE_VENTA\": \"$330.000.000\", \"VALOR_DE_ADMINISTRACION\": \"$285.000\", \"AREA_CONSTRUIDA\": \"60 m\", \"AREA_PRIVADA\": \"60 m\", \"HABITACIONES\": \"2\", \"BANOS\": \"2\", \"PARQUEADERO\": \"1\", \"TIPO_DE_PARQUEADERO\": \"Independiente\", \"PARQUEADERO_CUBIERTO\": \"Si\", \"DEPOSITOS\": \"1\", \"CONJUNTO_CERRADO\": \"Si\", \"TIEMPO_DE_CONSTRUIDO\": \"Entre 5 y 10 anos\", \"TERRAZA/BALCON\": \"Balcon\", \"AREA_TERRAZA/BALCON\": \"5\", \"TIPO_DE_COCINA\": \"En L\", \"TIPO_COMEDOR\": \"Sala Comedor\", \"TIPO_INSTALACION_DE_GAS\": \"Natural\", \"TIPO_DE_ESTUFA\": \"Gas\", \"TIPO_DE_CALENTADOR\": \"Gas\", \"VISTA\": \"Interior\", \"ZONA_DE_LAVANDERIA\": \"Si\", \"NUMERO_DE_CLOSETS\": \"2\", \"TIPO_DE_ACABADO_PISO\": \"Laminado\", \"TIPO_DE_PISO_EN_ALCOBAS\": \"Laminado\", \"TIPO_DE_PISO_EN_COMEDOR\": \"Laminado\", \"TIPO_DE_PISO_EN_SALA\": \"Laminado\", \"EN_INTERIOR_Y/O_BLOQUE\": \"Si\", \"NUMERO_DE_PISO\": \"2\", \"NUMERO_DE_ASCENSORES\": \"1\", \"VIGILANCIA\": \"24hrs\", \"CERCA_TRANSPORTE_PUBLICO\": \"Si\", \"CERCA_COLEGIOS_/_UNIVERSIDADES\": \"Si\", \"CERCA_PARQUES\": \"Si\", \"CERCA_SUPERMERCADOS\": \"Si\", \"CERCA_CENTROS_COMERCIALES\": \"Si\", \"ASCENSOR\": \"Si\", \"ZONA_DE_BBQ\": \"Si\", \"complementsAndFinishes\": [\"Piscina\", \"Gimnasio\", \"Sauna y/o turco\", \"Zonas verdes\", \"Salon comunal\", \"Zona para ninos\", \"Acceso para discapacitados\", \"Apto para ninos\", \"Sobre via secundaria\", \"Circuito cerrado de TV\", \"Citofonos\"]}', 'Carrera 7 # 82 - 66 Oficina 210', 'ALOJAR INMOBILIARIA S.A./ 2364752/ 3214910400/ Agente Inmobiliario:/ (1) 2364752/ inmobiliaria alojar s a/ Carrera 7 # 82 - 66 Oficina 210/ 2566683', '573214910400' )", "INSERT INTO states ( id_web, title, description, url, type, price, agency_name, city, sector, latitude, longitude, address, postal_code, built_area, private_area, last_date, strata, floors, antiquity, bedrooms, bathrooms, garages, features, agency_address, agency_contact, agency_phone ) VALUES ( '815-M2500828', 'Venta de Casa en San simxc3xb3n guaymaral - Bogotxc3xa1 D.C. - 815-M2500828', 'Casa Hermosa de dos niveles, primer nivel sala de doble altura, estudio con salida al jardxc3xadn, cocina integral con despensa y cuarto de vajilla, comedor independiente de la sala con plancha de tepanyaki, al lado estxc3xa1 el comedor auxiliar, cava de vinos con temperatura controlada y amplia, segundo nivel, 5 habitaciones con baxc3xb1o y vestier, habitacixc3xb3n principal con dos vistieres, jacuzzi, solxc3xa1rium y turco, salida de terraza, segunda habitacixc3xb3n cuenta con salida a la terraza. La zona servicio es independiente a la casa, 1 piso tiene deposito, zona de lavanderxc3xada, un baxc3xb1o para el conductor, en el 2 piso se encuentra la habitacixc3xb3n para dos empleadas con baxc3xb1o y closets amplios, 4 garajes, zona de bicicletas, parqueadero de visitantes, en la terraza de la casa zona BBQ, un parasol para 8 personas, sistema de control de luces, sonido y cortinas. Paola Sandoval', 'https://www.metrocuadrado.com/inmueble/venta-casa-bogota-casa-blanca-5-habitaciones-5-banos-4-garajes/815-M2500828', 'Casa', '3900000000', 'CARRIZOSA HERMANOS LTDA', 'Bogotxc3xa1 D.C.', 'SAN SIMxc3x93N GUAYMARAL', '4.8162946701049805', '-74.04507446289062', 'Calle 238 55-35', '111176', '650', '650', '2020-08-08', '6', '2', 'Entre 10 y 20 anos', '5', '5', '4', '{\"CODIGO_WEB\": \"815-M2500828\", \"NOMBRE_COMUN_DEL_BARRIO\": \"SAN SIMON GUAYMARAL\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"CASA BLANCA\", \"ESTRATO\": \"6\", \"VALOR_DE_VENTA\": \"$3.900.000.000\", \"VALOR_DE_ADMINISTRACION\": \"$900.000\", \"AREA_CONSTRUIDA\": \"650 m\", \"AREA_PRIVADA\": \"650 m\", \"AREA_DEL_LOTE\": \"1580 m\", \"HABITACIONES\": \"5 o mas\", \"BANOS\": \"5 o mas\", \"PARQUEADERO\": \"4 o mas\", \"PARQUEADERO_CUBIERTO\": \"Si\", \"DEPOSITOS\": \"2\", \"CONJUNTO_CERRADO\": \"Si\", \"TIEMPO_DE_CONSTRUIDO\": \"Entre 10 y 20 anos\", \"TIPO_DE_CASA\": \"Condominio\", \"NUMERO_DE_NIVELES\": \"2\", \"ESTUDIO_O_BIBLIOTECA\": \"Si\", \"TERRAZA/BALCON\": \"Terraza\", \"AREA_TERRAZA/BALCON\": \"150\", \"TIPO_DE_COCINA\": \"Abierta\", \"TIPO_COMEDOR\": \"Comedor Independiente\", \"TIPO_INSTALACION_DE_GAS\": \"Natural\", \"TIPO_DE_ESTUFA\": \"Gas\", \"TIPO_DE_CALENTADOR\": \"Gas\", \"VISTA\": \"Exterior\", \"CUARTO_DE_SERVICIO\": \"Si\", \"ZONA_DE_LAVANDERIA\": \"Si\", \"CON_MUEBLES\": \"Si\", \"NUMERO_DE_CLOSETS\": \"2\", \"TIPO_DE_ACABADO_PISO\": \"Madera\", \"TIPO_DE_PISO_EN_ALCOBAS\": \"Madera\", \"TIPO_DE_PISO_EN_ESTUDIO\": \"Madera\", \"TIPO_DE_PISO_EN_COMEDOR\": \"Madera\", \"TIPO_DE_PISO_EN_SALA\": \"Madera\", \"VIGILANCIA\": \"24hrs\", \"ZONA_DE_BBQ\": \"Si\", \"complementsAndFinishes\": [\"Comedor auxiliar\", \"Hall de Alcobas\", \"Jacuzzi\", \"Cuarto de escoltas\", \"Vista panoramica\", \"Con chimenea\", \"Apto para ninos\"]}', 'Cra 10 A # 69 A - 11', '5188777/ Alfonso Carrizosa Hermanos/ 3167228825/ Agente Inmobiliario:/ 3103048310/ Paola Sandoval/ carrera 10a #69a-11', '573167228825' )", "INSERT INTO states ( id_web, title, description, url, type, price, agency_name, city, sector, latitude, longitude, address, postal_code, built_area, private_area, last_date, strata, floors, antiquity, bedrooms, bathrooms, garages, features, agency_address, agency_contact, agency_phone ) VALUES ( 'MC2465121', 'Venta de Casa en San jose spring - Bogotxc3xa1 D.C. - MC2465121', 'Casa unifamiliar Barrio Spring, a una cuadra de la autopista norte y estacixc3xb3n Alcalxc3xa1 de TM, Primer piso, Ante jardxc3xadn cubierto para garaje o local, garaje, baxc3xb1o, sala-comedor, cocina integral con deposito. Segundo piso, 4 alcobas, baxc3xb1o y sala de estar. Tercer piso, 2 alcobas, estudio y cuarto de ropas. Cerca a centros comerciales, parques y colegios, zona de gran desarrollo, Colina Campestre y Cedritos. Excelente ubicacixc3xb3n.', 'https://www.metrocuadrado.com/inmueble/venta-casa-bogota-san-jose-del-prado-5-habitaciones-2-banos-1-garajes/MC2465121', 'Casa', '680000000', 'David David', 'Bogotxc3xa1 D.C.', 'SAN JOSE SPRING', '4.7219477', '-74.05317', 'Carrera 46 135-50', '111111', '237', '237', '2020-08-08', 'NULL', 'NULL', 'Mas de 20 anos', '2', '2', '1', '{\"CODIGO_WEB\": \"MC2465121\", \"NOMBRE_COMUN_DEL_BARRIO\": \"SAN JOSE SPRING\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"SAN JOSE DEL PRADO\", \"VALOR_DE_VENTA\": \"$680.000.000\", \"NUMERO_DE_PISO\": \"3\", \"TIEMPO_DE_CONSTRUIDO\": \"Mas de 20 anos\", \"AREA_CONSTRUIDA\": \"237 m\", \"AREA_PRIVADA\": \"237 m\", \"HABITACIONES\": \"5 o mas\", \"BANOS\": \"2\", \"PARQUEADERO\": \"1\", \"TIPO_DE_PARQUEADERO\": \"Independiente\", \"CARACTERISTICAS_DEL_PARQUEADERO\": \"Cubierto\", \"complementsAndFinishes\": [\"Alarma\", \"Cocina integral\", \"Estudio o biblioteca\", \"Piso en baldosa\", \"Zona de lavanderia\", \"Cerca Centros Comerciales\", \"Cerca Colegios / Universidades\", \"Cerca Parques\", \"Cerca Supermercados\", \"Cerca Transporte Publico\", \"Zona Residencial\"]}', 'NULL', '3202745257/ 3158788930/ David David/ David David:/ 9289421', '573158788930' )", "INSERT INTO states ( id_web, title, description, url, type, price, agency_name, city, sector, latitude, longitude, address, postal_code, built_area, private_area, last_date, strata, floors, antiquity, bedrooms, bathrooms, garages, features, agency_address, agency_contact, agency_phone ) VALUES ( '5175-1914', 'Venta de Apartamento en Los rosales - Bogotxc3xa1 D.C. - 5175-1914', 'Lindo apartamento de 45 Mts2, una alcoba, un baxc3xb1o, sala con chimenea, comedor, cocina integral abierta, vista exterior e iluminacixc3xb3n natural, piso en madera natural, el edificio cuenta con seguridad privada, ascensor, lavanderxc3xada.', 'https://www.metrocuadrado.com/inmueble/venta-apartamento-bogota-bellavista-1-habitaciones-1-banos-1-garajes/5175-1914', 'Apartamento', '380000000', 'BRIKSS SAS', 'Bogotxc3xa1 D.C.', 'Los Rosales', '4.656804680798692', '-74.0518902569973', 'Calle 75 4-7', '110221', '45', '45', '2020-08-08', '6', 'NULL', 'Entre 10 y 20 anos', '1', '1', '1', '{\"CODIGO_WEB\": \"5175-1914\", \"NOMBRE_COMUN_DEL_BARRIO\": \"Los Rosales\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"BELLAVISTA\", \"ESTRATO\": \"6\", \"VALOR_DE_VENTA\": \"$380.000.000\", \"VALOR_DE_ADMINISTRACION\": \"$380.000\", \"AREA_CONSTRUIDA\": \"45 m\", \"AREA_PRIVADA\": \"45 m\", \"HABITACIONES\": \"1\", \"BANOS\": \"1\", \"PARQUEADERO\": \"1\", \"TIEMPO_DE_CONSTRUIDO\": \"Entre 10 y 20 anos\", \"TERRAZA/BALCON\": \"Ninguno\", \"TIPO_COMEDOR\": \"Sala Comedor\", \"VISTA\": \"Exterior\", \"TIPO_DE_ACABADO_PISO\": \"Otro\", \"TIPO_DE_PISO_EN_ALCOBAS\": \"Otro\", \"TIPO_DE_PISO_EN_ESTUDIO\": \"Otro\", \"NUMERO_DE_ASCENSORES\": \"1\", \"VIGILANCIA\": \"24hrs\", \"ASCENSOR\": \"Si\", \"complementsAndFinishes\": []}', 'CL 93B # 13 - 14 OF 307', 'CL 93B # 13 - 14 OF 307/ 4661864/ BRIKSS SAS - Principal:/ 3183757239/ BRIKSS SAS - Principal', '573183757239' )", "INSERT INTO states ( id_web, title, description, url, type, price, agency_name, city, sector, latitude, longitude, address, postal_code, built_area, private_area, last_date, strata, floors, antiquity, bedrooms, bathrooms, garages, features, agency_address, agency_contact, agency_phone ) VALUES ( '633-211', 'Venta y arriendo de Casa en Nicolas de federman - Bogotxc3xa1 D.C. - 633-211', 'CASA LOTE DE TRECIENTOS DIEZ METROS CUADRADOS, EL LOTE TIENE UNA CASA PREFABRICADA DE DOS HABITACIONES, COCINA SEMIINTEGRAL, SALA COMEDOR, BAxc3x91O Y ZONA DE LAVANDERxc3x8dA. PARQUEADERO PARA UN CARRO. once X veintiocho.', 'https://www.metrocuadrado.com/inmueble/venta-casa-bogota-campin-occidental-2-habitaciones-1-banos-1-garajes/633-211', 'Casa', '1600000000', 'GRUPO INMOBILIARIO CRECER SAS', 'Bogotxc3xa1 D.C.', 'Nicolas De Federman', '4.649185761241317', '-74.0804885829666', 'Calle 58A 35A-41', '111321', '310.00', '310.00', '2020-08-08', '4', 'NULL', 'Entre 5 y 10 anos', '1', '1', '1', '{\"CODIGO_WEB\": \"633-211\", \"NOMBRE_COMUN_DEL_BARRIO\": \"Nicolas De Federman\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"CAMPIN OCCIDENTAL\", \"ESTRATO\": \"4\", \"VALOR_DE_ARRIENDO\": \"$1.350.000\", \"VALOR_DE_VENTA\": \"$1.600.000.000\", \"AREA_CONSTRUIDA\": \"310.00 m\", \"AREA_PRIVADA\": \"310.00 m\", \"HABITACIONES\": \"2\", \"BANOS\": \"1\", \"PARQUEADERO\": \"1\", \"TIEMPO_DE_CONSTRUIDO\": \"Entre 5 y 10 anos\", \"TIPO_DE_CASA\": \"Tradicional\", \"TIPO_COMEDOR\": \"Sala Comedor\", \"VISTA\": \"Exterior\", \"ZONA_DE_LAVANDERIA\": \"Si\", \"TIPO_DE_ACABADO_PISO\": \"Baldosa\", \"TIPO_DE_PISO_EN_ALCOBAS\": \"Baldosa\", \"CERCA_TRANSPORTE_PUBLICO\": \"Si\", \"CERCA_COLEGIOS_/_UNIVERSIDADES\": \"Si\", \"CERCA_PARQUES\": \"Si\", \"CERCA_SUPERMERCADOS\": \"Si\", \"CERCA_CENTROS_COMERCIALES\": \"Si\", \"complementsAndFinishes\": [\"Sobre via secundaria\"]}', 'Cll 63 No 35 a 37', '3108696065/ grupo inmobiliario crecer - Principal:/ 3108576764/ Cll 63 No 35 a 37/ 3153200/ grupo inmobiliario crecer - Principal', 'NULL' )", "INSERT INTO states ( id_web, title, description, url, type, price, agency_name, city, sector, latitude, longitude, address, postal_code, built_area, private_area, last_date, strata, floors, antiquity, bedrooms, bathrooms, garages, features, agency_address, agency_contact, agency_phone ) VALUES ( '887-M2614852', 'Venta de Apartamento en El cedrito - Bogotxc3xa1 D.C. - 887-M2614852', 'Bogota sector el Cedrito, Apartamento muy cxc3xb3modo, buenos acabados, iluminado y muy bien ubicado. ', 'https://www.metrocuadrado.com/inmueble/venta-apartamento-bogota-los-cedritos-3-habitaciones-2-banos-1-garajes/887-M2614852', 'Apartamento', '400000000', 'GUILLERMO DUQUE INMOBILIARIA', 'Bogotxc3xa1 D.C.', 'El CEDRITO', '4.730204105377197', '-74.04576110839844', 'Avenida Calle 147 19-30', '110131', '100', '100', '2020-08-08', '4', 'NULL', 'Entre 5 y 10 anos', '2', '2', '1', '{\"CODIGO_WEB\": \"887-M2614852\", \"NOMBRE_COMUN_DEL_BARRIO\": \"El CEDRITO\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"LOS CEDRITOS\", \"ESTRATO\": \"4\", \"VALOR_DE_VENTA\": \"$400.000.000\", \"VALOR_DE_ADMINISTRACION\": \"$250.000\", \"AREA_CONSTRUIDA\": \"100 m\", \"AREA_PRIVADA\": \"100 m\", \"HABITACIONES\": \"3\", \"BANOS\": \"2\", \"PARQUEADERO\": \"1\", \"TIPO_DE_PARQUEADERO\": \"Propio\", \"PARQUEADERO_CUBIERTO\": \"Si\", \"CONJUNTO_CERRADO\": \"Si\", \"TIEMPO_DE_CONSTRUIDO\": \"Entre 5 y 10 anos\", \"ESTUDIO_O_BIBLIOTECA\": \"Si\", \"TIPO_DE_COCINA\": \"Paralela\", \"TIPO_COMEDOR\": \"Sala Comedor\", \"TIPO_INSTALACION_DE_GAS\": \"Natural\", \"TIPO_DE_ESTUFA\": \"Gas\", \"TIPO_DE_CALENTADOR\": \"Gas\", \"VISTA\": \"Exterior\", \"ZONA_DE_LAVANDERIA\": \"Si\", \"NUMERO_DE_CLOSETS\": \"3\", \"EN_INTERIOR_Y/O_BLOQUE\": \"Si\", \"NUMERO_DE_PISO\": \"1\", \"VIGILANCIA\": \"24hrs\", \"CERCA_TRANSPORTE_PUBLICO\": \"Si\", \"CERCA_COLEGIOS_/_UNIVERSIDADES\": \"Si\", \"CERCA_PARQUES\": \"Si\", \"CERCA_SUPERMERCADOS\": \"Si\", \"CERCA_CENTROS_COMERCIALES\": \"Si\", \"complementsAndFinishes\": [\"Sobre via secundaria\"]}', 'Carrera 81 #4G - 65', '3008365673/ GUILLERMO DUQUE INMOBILIARIA:/ GUILLERMO DUQUE INMOBILIARIA/ (4) 2040744', '573008365673' )", "INSERT INTO states ( id_web, title, description, url, type, price, agency_name, city, sector, latitude, longitude, address, postal_code, built_area, private_area, last_date, strata, floors, antiquity, bedrooms, bathrooms, garages, features, agency_address, agency_contact, agency_phone ) VALUES ( '847-4004', 'Venta y arriendo de Apartamento en Los rosales - Bogotxc3xa1 D.C. - 847-4004', 'En el exclusivo sector de Los Rosales, donde contarxc3xa1s con gran tranquilidad y acceso a excelentes vxc3xadas de movilizacixc3xb3n como la carrera sxc3xa9ptima, estamos ofreciendo para arriendo o venta este espectacular apartamento. Podrxc3xa1s ingresar a la propiedad a travxc3xa9s de un ascensor privado, y al hacerlo verxc3xa1s que hay aspectos que resaltan dentro del lugar, como su disexc3xb1o, sus espacios y lo luminosos que son. El xc3xa1rea social posee amplios ventanales de piso a techo que permiten una entrada total de luz nat', 'https://www.metrocuadrado.com/inmueble/venta-apartamento-bogota-los-rosales-3-habitaciones-4-banos-3-garajes/847-4004', 'Apartamento', '3900000000', 'PADS', 'Bogotxc3xa1 D.C.', 'Los Rosales', '4.660006796513658', '-74.05030510233371', 'Carrera 5 78-95', '110221', '275', '0', '2020-08-08', '6', 'NULL', 'Entre 0 y 5 anos', '4', '4', '3', '{\"CODIGO_WEB\": \"847-4004\", \"NOMBRE_COMUN_DEL_BARRIO\": \"Los Rosales\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"LOS ROSALES\", \"ESTRATO\": \"6\", \"VALOR_DE_ARRIENDO\": \"$17.000.000\", \"VALOR_DE_VENTA\": \"$3.900.000.000\", \"VALOR_DE_ADMINISTRACION\": \"$2.000.000\", \"AREA_CONSTRUIDA\": \"275 m\", \"HABITACIONES\": \"3\", \"BANOS\": \"4\", \"PARQUEADERO\": \"3\", \"TIPO_DE_PARQUEADERO\": \"Independiente\", \"CONJUNTO_CERRADO\": \"Si\", \"TIEMPO_DE_CONSTRUIDO\": \"Entre 0 y 5 anos\", \"ESTUDIO_O_BIBLIOTECA\": \"Si\", \"TERRAZA/BALCON\": \"Balcon\", \"TIPO_COMEDOR\": \"Sala Comedor\", \"TIPO_INSTALACION_DE_GAS\": \"Natural\", \"VISTA\": \"Exterior\", \"CUARTO_DE_SERVICIO\": \"Si\", \"ZONA_DE_LAVANDERIA\": \"Si\", \"TIPO_DE_ACABADO_PISO\": \"Madera\", \"TIPO_DE_PISO_EN_ALCOBAS\": \"Madera\", \"TIPO_DE_PISO_EN_ESTUDIO\": \"Madera\", \"EN_INTERIOR_Y/O_BLOQUE\": \"Si\", \"NUMERO_DE_PISO\": \"6\", \"NUMERO_DE_ASCENSORES\": \"1\", \"VIGILANCIA\": \"24hrs\", \"CERCA_TRANSPORTE_PUBLICO\": \"Si\", \"CERCA_PARQUES\": \"Si\", \"CERCA_SUPERMERCADOS\": \"Si\", \"CERCA_CENTROS_COMERCIALES\": \"Si\", \"ASCENSOR\": \"Si\", \"complementsAndFinishes\": [\"Hall de Alcobas\", \"Cuarto de escoltas\", \"Con chimenea\", \"Piscina\", \"Gimnasio\", \"Salon comunal\", \"Zona para ninos\", \"Sobre via secundaria\", \"Citofonos\"]}', 'Calle 93B #11A-84 piso 3', 'PADS:/ Calle 93B #11A-84 piso 3 CC Portobelo/ 2566701/ 3142007942/ PADS', '573142007942' )", "INSERT INTO states ( id_web, title, description, url, type, price, agency_name, city, sector, latitude, longitude, address, postal_code, built_area, private_area, last_date, strata, floors, antiquity, bedrooms, bathrooms, garages, features, agency_address, agency_contact, agency_phone ) VALUES ( '681-M2194774', 'Venta de Apartamento en Santa ana oriental - Bogotxc3xa1 D.C. - 681-M2194774', 'Apartamento ubicado en el exclusivo sector de Santa Ana Oriental, el edifico esta rodeado de espectaculares casas, sector muy seguro . El apartamento cuenta con 3 alcobas, alcoba baxc3xb1o de servicio, estudio y terraza.', 'https://www.metrocuadrado.com/inmueble/venta-apartamento-bogota-santa-ana-oriental-3-habitaciones-3-banos-2-garajes/681-M2194774', 'Apartamento', '850000000', 'PUNTO INMOBILIARIO - B.M. S.A.S', 'Bogotxc3xa1 D.C.', 'SANTA ANA ORIENTAL', '4.688530921936035', '-74.03411865234375', 'Calle 110 6-50', '110111', '121', '117', '2020-08-08', '6', 'NULL', 'Mas de 20 anos', '3', '3', '2', '{\"CODIGO_WEB\": \"681-M2194774\", \"NOMBRE_COMUN_DEL_BARRIO\": \"SANTA ANA ORIENTAL\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"SANTA ANA ORIENTAL\", \"ESTRATO\": \"6\", \"VALOR_DE_VENTA\": \"$850.000.000\", \"VALOR_DE_ADMINISTRACION\": \"$600.000\", \"AREA_CONSTRUIDA\": \"121 m\", \"AREA_PRIVADA\": \"117 m\", \"HABITACIONES\": \"3\", \"BANOS\": \"3\", \"PARQUEADERO\": \"2\", \"TIPO_DE_PARQUEADERO\": \"Propio\", \"PARQUEADERO_CUBIERTO\": \"Si\", \"DEPOSITOS\": \"1\", \"TIEMPO_DE_CONSTRUIDO\": \"Mas de 20 anos\", \"ESTUDIO_O_BIBLIOTECA\": \"Si\", \"TERRAZA/BALCON\": \"Terraza\", \"AREA_TERRAZA/BALCON\": \"30\", \"TIPO_DE_COCINA\": \"Lineal\", \"TIPO_COMEDOR\": \"Sala Comedor\", \"TIPO_INSTALACION_DE_GAS\": \"Natural\", \"TIPO_DE_ESTUFA\": \"Gas\", \"TIPO_DE_CALENTADOR\": \"Gas\", \"VISTA\": \"Exterior\", \"CUARTO_DE_SERVICIO\": \"Si\", \"NUMERO_DE_CLOSETS\": \"3\", \"TIPO_DE_ACABADO_PISO\": \"Madera\", \"TIPO_DE_PISO_EN_ALCOBAS\": \"Madera\", \"TIPO_DE_PISO_EN_COMEDOR\": \"Madera\", \"TIPO_DE_PISO_EN_SALA\": \"Madera\", \"NUMERO_DE_PISO\": \"2\", \"NUMERO_DE_ASCENSORES\": \"1\", \"VIGILANCIA\": \"24hrs\", \"CERCA_TRANSPORTE_PUBLICO\": \"Si\", \"CERCA_COLEGIOS_/_UNIVERSIDADES\": \"Si\", \"CERCA_CENTROS_COMERCIALES\": \"Si\", \"ASCENSOR\": \"Si\", \"complementsAndFinishes\": [\"Con chimenea\", \"Citofonos\"]}', 'AVENIDA 15 No 124 -65 OF 704', '6204300/ (1) 6204300/ olga lucia rueda salazar/ 3124332588/ AV 15 # 124-65/ Agente Inmobiliario:/ 3112514804/ PUNTO INMOBILIARIO - B.M. S.A.S', '573112514804' )", "INSERT INTO states ( id_web, title, description, url, type, price, agency_name, city, sector, latitude, longitude, address, postal_code, built_area, private_area, last_date, strata, floors, antiquity, bedrooms, bathrooms, garages, features, agency_address, agency_contact, agency_phone ) VALUES ( '11233-2377790', 'Venta de Bodega en San rafael - Bogotxc3xa1 D.C. - 11233-2377790', 'Bodega en lote esquinero de casi 147 mts2 12 de frente x 15 de fondo situada en la Carrera 53C con Calle 5B. Las vxc3xadas de acceso a la bodega son amplias y rxc3xa1pidas, muy cerca de Puente Aranda. Tiene una entrada para vehxc3xadculos medianos sobre la carrera. Estxc3xa1 situada en San Rafael, un barrio residencial e industrial por lo que puede ser destinada a bodegaje y o a actividades industriales limpias y de bajo ruido. Piso en concreto y sercha metalica en el techo. Incluye una pequexc3xb1a', 'https://www.metrocuadrado.com/inmueble/venta-bodega-bogota-san-rafael/11233-2377790', 'Bodega', '480000000', 'LOYAL CITY BIENES RAICES', 'Bogotxc3xa1 D.C.', 'SAN RAFAEL', '4.622081608857017', '-74.1125116798233', 'Carrera 53BBIS 5A-52', '111611', '147', '0', '2020-08-08', '3', 'NULL', 'Mas de 20 anos', '', '', '', '{\"CODIGO_WEB\": \"11233-2377790\", \"NOMBRE_COMUN_DEL_BARRIO\": \"SAN RAFAEL\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"SAN RAFAEL\", \"ESTRATO\": \"3\", \"VALOR_DE_VENTA\": \"$480.000.000\", \"AREA_CONSTRUIDA\": \"147 m\", \"TIEMPO_DE_CONSTRUIDO\": \"Mas de 20 anos\", \"TIPO_BODEGA\": \"Otro\", \"TIPO_DE_ACABADO_PISO\": \"Otro\", \"complementsAndFinishes\": []}', 'CARRERA 67 # 46 -14', '3002660813/ LOYAL CITY BIENES RAICES:/ LOYAL CITY BIENES RAICES', '573118448126' )", "INSERT INTO states ( id_web, title, description, url, type, price, agency_name, city, sector, latitude, longitude, address, postal_code, built_area, private_area, last_date, strata, floors, antiquity, bedrooms, bathrooms, garages, features, agency_address, agency_contact, agency_phone ) VALUES ( '2266-1972413', 'Venta de Apartamento en Santa barbara occidental - Bogotxc3xa1 D.C. - 2266-1972413', 'Vendo apartamento en piso 4, exterior en muy buen estado. El apto tiene 3 alcobas, 2 baxc3xb1os, sala comedor con chimenea. Cocina cerrada, cuarto y baxc3xb1o de servicio. Zona de lavanderxc3xada. Un Parqueadero cubierto. Los pisos del apto estxc3xa1n en madera laminada. Cocina y baxc3xb1os en buen estado de conservacixc3xb3n. Edificio con vigilancia 24 horas. En excelente estado, ladrillo a la vista. Linda recepcixc3xb3n, excelente ubicacion porque es residencial con bastante comercio por lo tanto se encuentra t', 'https://www.metrocuadrado.com/inmueble/venta-apartamento-bogota-santa-barbara-occidental-3-habitaciones-3-banos-1-garajes/2266-1972413', 'Apartamento', '425000000', 'Boutique de Bienes Raices', 'Bogotxc3xa1 D.C.', 'SANTA BARBARA OCCIDENTAL', '4.706132731731016', '-74.05043758211897', 'Avenida Calle 127 20-4', '110121', '93', '93', '2020-08-08', '5', 'NULL', 'Mas de 20 anos', '3', '3', '1', '{\"CODIGO_WEB\": \"2266-1972413\", \"NOMBRE_COMUN_DEL_BARRIO\": \"SANTA BARBARA OCCIDENTAL\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"SANTA BARBARA OCCIDENTAL\", \"ESTRATO\": \"5\", \"VALOR_DE_VENTA\": \"$425.000.000\", \"VALOR_DE_ADMINISTRACION\": \"$385.000\", \"AREA_CONSTRUIDA\": \"93 m\", \"AREA_PRIVADA\": \"93 m\", \"HABITACIONES\": \"3\", \"BANOS\": \"3\", \"PARQUEADERO\": \"1\", \"TIEMPO_DE_CONSTRUIDO\": \"Mas de 20 anos\", \"TIPO_COMEDOR\": \"Sala Comedor\", \"TIPO_DE_ACABADO_PISO\": \"Otro\", \"TIPO_DE_PISO_EN_ALCOBAS\": \"Otro\", \"NUMERO_DE_PISO\": \"4\", \"NUMERO_DE_ASCENSORES\": \"1\", \"ASCENSOR\": \"Si\", \"complementsAndFinishes\": [\"Comedor auxiliar\", \"Hall de Alcobas\", \"Con chimenea\", \"Citofonos\"]}', 'na', 'XIMENA FERNANDEZ/ 3138528340/ CL 0 # 0 - 0/ XIMENA FERNANDEZ:', '573138528340' )", "INSERT INTO states ( id_web, title, description, url, type, price, agency_name, city, sector, latitude, longitude, address, postal_code, built_area, private_area, last_date, strata, floors, antiquity, bedrooms, bathrooms, garages, features, agency_address, agency_contact, agency_phone ) VALUES ( '681-458', 'Venta de Local Comercial en Puente aranda - Bogotxc3xa1 D.C. - 681-458', 'LOCAL UBICADO EN EL CENTRO COMERCIA OUTLET FACTORY, CENTRADO EN EL PRIMER PISO.LUGAR CONCURRIDO MUY BIEN UBICADO.', 'https://www.metrocuadrado.com/inmueble/venta-local-comercial-bogota-salazar-gomez/681-458', 'Local Comercial', '3460000000', 'PUNTO INMOBILIARIO - B.M. S.A.S', 'Bogotxc3xa1 D.C.', 'Puente Aranda', '4.628376343649677', '-74.11732013354063', 'Avenida Calle 9-0', '111611', '213.00', '213.00', '2020-08-08', '7', 'NULL', 'Entre 5 y 10 anos', '', '', '', '{\"CODIGO_WEB\": \"681-458\", \"NOMBRE_COMUN_DEL_BARRIO\": \"Puente Aranda\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"SALAZAR GOMEZ\", \"ESTRATO\": \"7\", \"VALOR_DE_VENTA\": \"$3.460.000.000\", \"VALOR_DE_ADMINISTRACION\": \"$3.900.000\", \"AREA_CONSTRUIDA\": \"213.00 m\", \"AREA_PRIVADA\": \"213.00 m\", \"TIEMPO_DE_CONSTRUIDO\": \"Entre 5 y 10 anos\", \"TIPO_LOCAL\": \"Otro\", \"complementsAndFinishes\": []}', 'AVENIDA 15 No 124 -65 OF 704', '6204300/ 3124332588/ AV 15 # 124-65/ PUNTO INMOBILIARIO - B.M. S.A.S:/ PUNTO INMOBILIARIO - B.M. S.A.S', '573124332588' )" ] for x in myli: mycursor.execute(x) #mybulk = "INSERT INTO states ( id_web, title, description, url, type, price, agency_name, city, sector, latitude, longitude, address, postal_code, built_area, private_area, last_date, strata, floors, antiquity, bedrooms, bathrooms, garages, features, agency_address, agency_contact, agency_phone ) VALUES ( '5434-C0003-08', 'Proyecto LUMINIUM, Apartamentos nuevos en Rincon del chico, Bogotxc3xa1 D.C. - Id 003', 'Exclusivo proyecto con excelente ubicacixc3xb3n, 70 apartamentos en 8 pisos con las mejores especificaciones (ventanerxc3xada acxc3xbastica en habitaciones). Lobby tipo hotel, Salxc3xb3n social, Lockers para las empleadas del servicio domxc3xa9stico con baxc3xb1o, Business center, Oficina de administracixc3xb3n y Terraza comunal con Gimnasio, pista de trote, parque infantil, spot de mascotas y bbq. Parqueadero de visitantes, bicicletero, planta elxc3xa9ctrica de suplencia total y sistema de captacixc3xb3n de aguas pluviales. 22 meses para pago de cuota inicial', '392564000', 'https://www.metrocuadrado.com/proyecto/luminium/5434-C0003', 'Apartamento', 'Bogotxc3xa1 D.C.', 'CHICO SAN PATRICIO', '4.68919', '-74.04276', 'Calle 106 13-28', '110111', '52.73', '47.58', '2020-08-08', '5', 'NULL', 'En Construccion', '2', '2', '1', '{\"CODIGO_WEB:\": \"5434-C0003\", \"NOMBRE_COMUN_DEL_BARRIO\": \"CHICO SAN PATRICIO\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"RINCON DEL CHICO\", \"ESTRATO\": \"5\", \"VALOR_DESDE/HASTA\": \"Desde $347.108.000 hasta $625.004.000\", \"AREA_CONSTRUIDA_DESDE/HASTA\": \"Desde 38.99 hasta 79.63\", \"AREA_PRIVADA_DESDE/HASTA\": \"Desde 35.13 hasta 86.07\", \"TIEMPO_DE_CONSTRUIDO\": \"En Construccion\", \"ETAPA_DE_CONSTRUCCION/TIEMPO_DE_CONSTRUIDO\": \"En construccion\", \"MONEDA\": \"Peso colombiano\", \"VIGILANCIA\": \"24hrs\", \"FECHA_ESTIMADA_DE_ENTREGA\": \"04-2022\", \"PARQUEADERO_DE_VISITANTES\": \"Si\", \"complementsAndFinishes\": []}', 'Consucasa SAS', 'Calle 119 # 72 a - 26', '3212686024/ (1) 7430066 Ext: 531/ 3213137285', '573213137285' ),( '681-446', 'Venta de Apartamento en Santa monica - Bogotxc3xa1 D.C. - 681-446', 'Apartamento ubicado en exclusivo y central sector, habitaciones amplias para la familia, inmueble en buen estado, buenas vxc3xadas de acceso', 'https://www.metrocuadrado.com/inmueble/venta-apartamento-bogota-sabanalarga-3-habitaciones-3-banos-2-garajes/681-446', 'Apartamento', '930000000', 'PUNTO INMOBILIARIO - B.M. S.A.S', 'Bogotxc3xa1 D.C.', 'Santa Monica', '4.707255893469122', '-74.04345375514912', 'Calle 127ABISA 15-58', '110121', '180.00', '180.00', '2020-08-08', '6', 'NULL', 'Entre 10 y 20 anos', '3', '3', '2', '{\"CODIGO_WEB\": \"681-446\", \"NOMBRE_COMUN_DEL_BARRIO\": \"Santa Monica\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"SABANALARGA\", \"ESTRATO\": \"6\", \"VALOR_DE_VENTA\": \"$930.000.000\", \"VALOR_DE_ADMINISTRACION\": \"$690.600\", \"AREA_CONSTRUIDA\": \"180.00 m\", \"AREA_PRIVADA\": \"180.00 m\", \"HABITACIONES\": \"3\", \"BANOS\": \"3\", \"PARQUEADERO\": \"2\", \"TIEMPO_DE_CONSTRUIDO\": \"Entre 10 y 20 anos\", \"ESTUDIO_O_BIBLIOTECA\": \"Si\", \"TIPO_INSTALACION_DE_GAS\": \"Natural\", \"CUARTO_DE_SERVICIO\": \"Si\", \"TIPO_DE_CORTINAS\": \"Persianas\", \"complementsAndFinishes\": [\"Con chimenea\", \"Gimnasio\", \"Salon comunal\", \"Zona para ninos\"]}', 'AVENIDA 15 No 124 -65 OF 704', '6204300/ 3124332588/ AV 15 # 124-65/ PUNTO INMOBILIARIO - B.M. S.A.S:/ PUNTO INMOBILIARIO - B.M. S.A.S', '573124332588' ),( '681-432', 'Venta y arriendo de Bodega en Prado veraniego - Bogotxc3xa1 D.C. - 681-432', 'Arriendo o vendo bodega situada en el barrio prado veraniego, de tres pisos, tres baxc3xb1os , puntos de luz trifxc3xa1sica y monofxc3xa1sica doscientos veinte y ciento diez v ,carga de energxc3xada treintakw con trifxc3xa1sica , la placa de la bodega soporta un peso de dos.cero klg por metro cuadrado en el primer piso, en los pisos dos y tres el peso a soportar es de doscientoskg por metro cuadrado.', 'https://www.metrocuadrado.com/inmueble/venta-bodega-bogota-prado-veraniego-norte/681-432', 'Bodega', '2000000000', 'PUNTO INMOBILIARIO - B.M. S.A.S', 'Bogotxc3xa1 D.C.', 'PRADO VERANIEGO', '4.718366979453166', '-74.06691208047147', 'Carrera 57A 129B-1', '111111', '390.00', '390.00', '2020-08-08', '3', 'NULL', 'Entre 0 y 5 anos', '', '', '', '{\"CODIGO_WEB\": \"681-432\", \"NOMBRE_COMUN_DEL_BARRIO\": \"PRADO VERANIEGO\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"PRADO VERANIEGO NORTE\", \"ESTRATO\": \"3\", \"VALOR_DE_ARRIENDO\": \"$14.000.000\", \"VALOR_DE_VENTA\": \"$2.000.000.000\", \"AREA_CONSTRUIDA\": \"390.00 m\", \"AREA_PRIVADA\": \"390.00 m\", \"TIEMPO_DE_CONSTRUIDO\": \"Entre 0 y 5 anos\", \"TIPO_BODEGA\": \"Otro\", \"complementsAndFinishes\": []}', 'AVENIDA 15 No 124 -65 OF 704', '6204300/ 3124332588/ AV 15 # 124-65/ PUNTO INMOBILIARIO - B.M. S.A.S:/ PUNTO INMOBILIARIO - B.M. S.A.S', '573124332588' ),( '681-429', 'Venta de Apartamento en Chico alto - Bogotxc3xa1 D.C. - 681-429', 'Hermoso apartamento, ubicado en exclusivo sector de la ciudad. Duplex, espectacular zona social, tres alcobas, dos de ellas con walking closet y baxc3xb1o. Todas las xc3xa1reas del apartamento tienen acceso a las terrazas.', 'https://www.metrocuadrado.com/inmueble/venta-apartamento-bogota-bosque-de-bellavista-3-habitaciones-5-banos-2-garajes/681-429', 'Apartamento', '3200000000', 'PUNTO INMOBILIARIO - B.M. S.A.S', 'Bogotxc3xa1 D.C.', 'Chico Alto', '4.674491536261334', '-74.02694634878162', 'Carrera 1G Este 101B-0', '110111', '374.00', '305.00', '2020-08-08', '6', 'NULL', 'Entre 0 y 5 anos', '5', '5', '2', '{\"CODIGO_WEB\": \"681-429\", \"NOMBRE_COMUN_DEL_BARRIO\": \"Chico Alto\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"BOSQUE DE BELLAVISTA\", \"ESTRATO\": \"6\", \"VALOR_DE_VENTA\": \"$3.200.000.000\", \"VALOR_DE_ADMINISTRACION\": \"$3.128.000\", \"AREA_CONSTRUIDA\": \"374.00 m\", \"AREA_PRIVADA\": \"305.00 m\", \"HABITACIONES\": \"3\", \"BANOS\": \"5 o mas\", \"PARQUEADERO\": \"2\", \"TIEMPO_DE_CONSTRUIDO\": \"Entre 0 y 5 anos\", \"ESTUDIO_O_BIBLIOTECA\": \"Si\", \"TIPO_COMEDOR\": \"Comedor Independiente\", \"ZONA_DE_LAVANDERIA\": \"Si\", \"TIPO_DE_ACABADO_PISO\": \"Madera\", \"TIPO_DE_PISO_EN_ALCOBAS\": \"Madera\", \"VIGILANCIA\": \"24hrs\", \"complementsAndFinishes\": []}', 'AVENIDA 15 No 124 -65 OF 704', '6204300/ 3124332588/ AV 15 # 124-65/ PUNTO INMOBILIARIO - B.M. S.A.S:/ PUNTO INMOBILIARIO - B.M. S.A.S', '573124332588' ),( '681-M2261735', 'Venta de Casa en Gratamira - Bogotxc3xa1 D.C. - 681-M2261735', 'Hermosa casa, en conjunto cerrado con cancha de fxc3xbatbol, cancha de tenis, parque, senderos peatonales, sector tranquilo y exclusivo, total de casas 23 . La casa cuenta con 4 habitaciones, estudio, alcoba y baxc3xb1o de servicio, zona de bbq , todos los pisos son en madera natural. Vxc3xadas de acceso por la avenida Boyacxc3xa1, la Suba, Calle 138, 134. Muy cerca a importantes centros comerciales, Parque de la Colina, Porto Alegre y Bulevar Niza.', 'https://www.metrocuadrado.com/inmueble/venta-casa-bogota-iberia-4-habitaciones-4-banos-3-garajes/681-M2261735', 'Casa', '950000000', 'PUNTO INMOBILIARIO - B.M. S.A.S', 'Bogotxc3xa1 D.C.', 'GRATAMIRA', '4.727828502655029', '-74.07007598876953', 'Avenida Boyacxc3xa1 134-0', '111121', '220', '201', '2020-08-08', '5', '2', 'Entre 10 y 20 anos', '4', '4', '3', '{\"CODIGO_WEB\": \"681-M2261735\", \"NOMBRE_COMUN_DEL_BARRIO\": \"GRATAMIRA\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"IBERIA\", \"ESTRATO\": \"5\", \"VALOR_DE_VENTA\": \"$950.000.000\", \"VALOR_DE_ADMINISTRACION\": \"$792.000\", \"AREA_CONSTRUIDA\": \"220 m\", \"AREA_PRIVADA\": \"201 m\", \"HABITACIONES\": \"4\", \"BANOS\": \"4\", \"PARQUEADERO\": \"3\", \"TIPO_DE_PARQUEADERO\": \"Propio\", \"DEPOSITOS\": \"1\", \"CONJUNTO_CERRADO\": \"Si\", \"TIEMPO_DE_CONSTRUIDO\": \"Entre 10 y 20 anos\", \"TIPO_DE_CASA\": \"Condominio\", \"NUMERO_DE_NIVELES\": \"2\", \"ESTUDIO_O_BIBLIOTECA\": \"Si\", \"TERRAZA/BALCON\": \"Balcon\", \"AREA_TERRAZA/BALCON\": \"6\", \"TIPO_DE_COCINA\": \"Lineal\", \"TIPO_COMEDOR\": \"Comedor Independiente\", \"TIPO_INSTALACION_DE_GAS\": \"Natural\", \"TIPO_DE_ESTUFA\": \"Gas\", \"TIPO_DE_CALENTADOR\": \"Gas\", \"CUARTO_DE_SERVICIO\": \"Si\", \"VISTA\": \"Interior\", \"ZONA_DE_LAVANDERIA\": \"Si\", \"TIPO_DE_ACABADO_PISO\": \"Madera\", \"TIPO_DE_PISO_EN_ALCOBAS\": \"Madera\", \"TIPO_DE_PISO_EN_ESTUDIO\": \"Madera\", \"TIPO_DE_PISO_EN_COMEDOR\": \"Madera\", \"TIPO_DE_PISO_EN_SALA\": \"Madera\", \"VIGILANCIA\": \"24hrs\", \"CERCA_TRANSPORTE_PUBLICO\": \"Si\", \"CERCA_COLEGIOS_/_UNIVERSIDADES\": \"Si\", \"CERCA_SUPERMERCADOS\": \"Si\", \"CERCA_CENTROS_COMERCIALES\": \"Si\", \"complementsAndFinishes\": [\"Comedor auxiliar\", \"Vista panoramica\", \"Cancha(s) de Tennis\", \"Cancha(s) de Futbol\", \"Zonas verdes\", \"Sendero peatonal\", \"Jardin\", \"Apto para ninos\", \"Circuito cerrado de TV\", \"Citofonos\"]}', 'AVENIDA 15 No 124 -65 OF 704', '6204300/ (1) 6204300/ olga lucia rueda salazar/ 3124332588/ AV 15 # 124-65/ Agente Inmobiliario:/ 3112514804/ PUNTO INMOBILIARIO - B.M. S.A.S', '573112514804' ),( 'MC2632790', 'Venta de Apartamento en Cedritos - Bogotxc3xa1 D.C. - MC2632790', 'REMODELADO, Hermoso apartamento, ubicado en Cedritos, zona de altxc3xadsima valorizacixc3xb3n y rodeado de importantes avdas como: Novena, Cra Quince, Calle Ciento cuarenta. Encontramos grandes almacenes como Exito, Olxc3xadmpica, Carulla, Home Center y Centros Ciales como Palatino y Cedritos. El apartamento estxc3xa1 ubicado en cuarto piso con ascensor, parqueadero. Su distribucixc3xb3n le permite tener excelente luz natural, habitaciones muy amplias. Cocina Integral cerrada muy amplia e iluminada. Pisos en PVC.', 'https://www.metrocuadrado.com/inmueble/venta-apartamento-bogota-cedro-narvaez-3-habitaciones-2-banos-1-garajes/MC2632790', 'Apartamento', '340000000', 'Elvira Saby Thais', 'Bogotxc3xa1 D.C.', 'Cedritos', '4.7258325', '-74.03971', 'Calle 145 13A-58', '110121', '78.27', '78.27', '2020-08-08', 'NULL', 'NULL', 'Entre 0 y 5 anos', '2', '2', '1', '{\"CODIGO_WEB\": \"MC2632790\", \"NOMBRE_COMUN_DEL_BARRIO\": \"Cedritos\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"CEDRO NARVAEZ\", \"VALOR_DE_VENTA\": \"$340.000.000\", \"NUMERO_DE_PISO\": \"4\", \"TIEMPO_DE_CONSTRUIDO\": \"Entre 0 y 5 anos\", \"AREA_CONSTRUIDA\": \"78.27 m\", \"AREA_PRIVADA\": \"78.27 m\", \"HABITACIONES\": \"3\", \"BANOS\": \"2\", \"PARQUEADERO\": \"1\", \"TIPO_DE_PARQUEADERO\": \"Propio\", \"CARACTERISTICAS_DEL_PARQUEADERO\": \"Descubierto\", \"complementsAndFinishes\": [\"Cocina integral\", \"Citofonos\", \"Con chimenea\", \"Vigilancia\", \"Ascensor\", \"Conjunto cerrado\", \"Parqueadero visitantes\", \"Porteria\", \"Zona para ninos\", \"Zonas verdes\", \"Cerca Centros Comerciales\", \"Cerca Colegios / Universidades\", \"Cerca Parques\", \"Cerca Supermercados\", \"Cerca Transporte Publico\", \"Zona Residencial\"]}', 'NULL', 'Elvira Saby Thais:/ 8161146/ Elvira Saby Thais/ 3138161146', '573138161146' ),( 'MC1813654', 'Venta de Apartamento en Gran granada - Bogotxc3xa1 D.C. - MC1813654', 'Espectacular Vista... Zona de alta valorizacixc3xb3n, con salida directa a la Calle 80, cerca a comercio, a industria y a colegios Cota Siberia Tenjo ', 'https://www.metrocuadrado.com/inmueble/venta-apartamento-bogota-centro-engativa-3-habitaciones-2-banos-1-garajes/MC1813654', 'Apartamento', '240000000', 'Diana Marcela Castro', 'Bogotxc3xa1 D.C.', 'gran granada', '4.719544', '-74.13024749', 'Calle 74A 116C-60', '111031', '60', '60', '2020-08-08', 'NULL', 'NULL', 'Entre 0 y 5 anos', '2', '2', '1', '{\"CODIGO_WEB\": \"MC1813654\", \"NOMBRE_COMUN_DEL_BARRIO\": \"gran granada\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"CENTRO ENGATIVA\", \"VALOR_DE_VENTA\": \"$240.000.000\", \"NUMERO_DE_PISO\": \"9\", \"TIEMPO_DE_CONSTRUIDO\": \"Entre 0 y 5 anos\", \"AREA_CONSTRUIDA\": \"60 m\", \"AREA_PRIVADA\": \"60 m\", \"HABITACIONES\": \"3\", \"BANOS\": \"2\", \"PARQUEADERO\": \"1\", \"TIPO_DE_PARQUEADERO\": \"Propio\", \"CARACTERISTICAS_DEL_PARQUEADERO\": \"Cubierto\", \"complementsAndFinishes\": [\"Cocina integral\", \"Bano Auxiliar\", \"Citofonos\", \"Cocina Tipo Americano\", \"Vigilancia\", \"Equipado / Amoblado\", \"Piso en madera\", \"Zona de lavanderia\", \"Ascensor\", \"Conjunto cerrado\", \"Parqueadero visitantes\", \"Porteria\", \"Salon comunal\", \"Zona para ninos\", \"Zonas verdes\", \"Cerca Centros Comerciales\", \"Cerca Colegios / Universidades\", \"Cerca Parques\", \"Cerca Supermercados\", \"Cerca Transporte Publico\", \"Ubicado en Edificio\", \"Zona Residencial\"]}', 'NULL', 'Diana Marcela Castro/ Diana Marcela Castro:/ 3203399370/ 3015965448', '573203399370' ),( 'MC2415768', 'Venta de Apartamento en Mazuren - Bogotxc3xa1 D.C. - MC2415768', 'Apto en venta directa, Primer Piso, remodelado, 3 habitaciones, 1 baxc3xb1o, Cocina integral, patio de Ropas, Sala Comedor que Incluye mueble funcional para el living, en conjunto residencial cerrado que cuenta con Salxc3xb3n Comunal, gym, 2 parques infantiles, estrato 4, a 5 minutos del centro comercial parque la colina, xc3xa9xito de la Colina, Clxc3xadnica la Colina, Parqueadero Comunal', 'https://www.metrocuadrado.com/inmueble/venta-apartamento-bogota-gilmar-3-habitaciones-1-banos-1-garajes/MC2415768', 'Apartamento', '210000000', 'Yulieth Yulieth', 'Bogotxc3xa1 D.C.', 'mazuren', '4.743928', '-74.06217', 'Carrera 59 160-46', '111156', '49', '46.30', '2020-08-08', 'NULL', 'NULL', 'Entre 5 y 10 anos', '1', '1', '1', '{\"CODIGO_WEB\": \"MC2415768\", \"NOMBRE_COMUN_DEL_BARRIO\": \"mazuren\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"GILMAR\", \"VALOR_DE_VENTA\": \"$210.000.000\", \"NUMERO_DE_PISO\": \"1\", \"TIEMPO_DE_CONSTRUIDO\": \"Entre 5 y 10 anos\", \"AREA_CONSTRUIDA\": \"49 m\", \"AREA_PRIVADA\": \"46.30 m\", \"HABITACIONES\": \"3\", \"BANOS\": \"1\", \"PARQUEADERO\": \"1\", \"TIPO_DE_PARQUEADERO\": \"Comunal\", \"CARACTERISTICAS_DEL_PARQUEADERO\": \"Cubierto\", \"complementsAndFinishes\": [\"Cocina integral\", \"Vigilancia\", \"Piso en madera\", \"Zona de lavanderia\", \"Conjunto cerrado\", \"Parqueadero visitantes\", \"Porteria\", \"Salon comunal\", \"Zona para ninos\", \"Cerca Centros Comerciales\", \"Cerca Colegios / Universidades\", \"Cerca Parques\", \"Cerca Supermercados\", \"Cerca Transporte Publico\", \"Zona Comercial\", \"Zona Residencial\"]}', 'NULL', 'Yulieth Yulieth/ 3103210391/ Yulieth Yulieth:', 'NULL' ),( '681-457', 'Venta de Apartamento en Colina campestre - Bogotxc3xa1 D.C. - 681-457', 'Apartamento en excelente estado en segundo piso,ubicado en tranquilo y central sector cuenta con tres habitaciones cada uno con sus baxc3xb1os, dos parqueaderos, cuenta con salones de estudio.', 'https://www.metrocuadrado.com/inmueble/venta-apartamento-bogota-santa-helena-i-3-habitaciones-3-banos-2-garajes/681-457', 'Apartamento', '600000000', 'PUNTO INMOBILIARIO - B.M. S.A.S', 'Bogotxc3xa1 D.C.', 'COLINA CAMPESTRE', '4.733185967592347', '-74.0627852136668', 'Avenida Carrera 58 146A-0', '111156', '111.00', '111.00', '2020-08-08', '5', 'NULL', 'Entre 10 y 20 anos', '3', '3', '2', '{\"CODIGO_WEB\": \"681-457\", \"NOMBRE_COMUN_DEL_BARRIO\": \"COLINA CAMPESTRE\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"SANTA HELENA I\", \"ESTRATO\": \"5\", \"VALOR_DE_VENTA\": \"$600.000.000\", \"VALOR_DE_ADMINISTRACION\": \"$350.000\", \"AREA_CONSTRUIDA\": \"111.00 m\", \"AREA_PRIVADA\": \"111.00 m\", \"HABITACIONES\": \"3\", \"BANOS\": \"3\", \"PARQUEADERO\": \"2\", \"TIEMPO_DE_CONSTRUIDO\": \"Entre 10 y 20 anos\", \"ESTUDIO_O_BIBLIOTECA\": \"Si\", \"TIPO_COMEDOR\": \"Sala Comedor\", \"complementsAndFinishes\": []}', 'AVENIDA 15 No 124 -65 OF 704', '6204300/ 3124332588/ AV 15 # 124-65/ PUNTO INMOBILIARIO - B.M. S.A.S:/ PUNTO INMOBILIARIO - B.M. S.A.S', '573124332588' ),( '1821-C0006-07', 'Proyecto Vixc3xba Park 118, Apartamentos nuevos en Santa barbara occidental, Bogotxc3xa1 D.C. - Id 006', 'El proyecto inmobiliario de vivienda Vixc3xba Park 118 se encontrarxc3xa1 localizado en la Calle 116 # 18 B 08, en el sector de Santa Bxc3xa1rbara Occidental, una de las zonas de mayor desarrollo inmobiliario del norte de Bogotxc3xa1, Se desarrolla en una torre residencial de ocho (08) pisos sobre la Calle 116 y de seis (6) pisos sobre la Calle 118. El Proyecto contarxc3xa1 con un moderno lobby tipo hotel, un (1) salxc3xb3n comunal, un (1) gimnasio, un (1) salxc3xb3n de juegos, una (1) oficina para la administracixc3xb3n, perrera con capacidad para dos (2) perros, planta elxc3xa9ctrica de suplencia parcial, dos (2) ascensores de xc3xbaltima tecnologxc3xada, dos (2) escaleras de evacuacixc3xb3n cerradas y cubierta comunal con BBQ, con xc3xa1reas de recreacixc3xb3n activa y pasiva.', '567285461', 'https://www.metrocuadrado.com/proyecto/viu-park-118/1821-C0006', 'Apartamento', 'Bogotxc3xa1 D.C.', 'SANTA BARBARA OCCIDENTAL', '4.699173', '-74.047585', 'Carrera 18 118-37', '110111', '64.55', '53.67', '2020-08-08', '5', 'NULL', 'Sobre Plano', '2', '2', '1', '{\"CODIGO_WEB:\": \"1821-C0006\", \"NOMBRE_COMUN_DEL_BARRIO\": \"SANTA BARBARA OCCIDENTAL\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"SANTA BARBARA OCCIDENTAL\", \"ESTRATO\": \"5\", \"VALOR_DESDE/HASTA\": \"Desde $435.862.256 hasta $617.143.808\", \"AREA_CONSTRUIDA_DESDE/HASTA\": \"Desde 55.33 hasta 69.8\", \"AREA_PRIVADA_DESDE/HASTA\": \"Desde 48.65 hasta 63.94\", \"TIEMPO_DE_CONSTRUIDO\": \"Sobre Plano\", \"ETAPA_DE_CONSTRUCCION/TIEMPO_DE_CONSTRUIDO\": \"En construccion\", \"MONEDA\": \"Peso colombiano\", \"VIGILANCIA\": \"24hrs\", \"FECHA_ESTIMADA_DE_ENTREGA\": \"04-2022\", \"PARQUEADERO_DE_VISITANTES\": \"Si\", \"complementsAndFinishes\": []}', 'GRADECO CONSTRUCCIONES Y CIA S.A.', 'AVENIDA CARRERA 19 # 120 - 71', '(1) 7424250 Ext: 116/ 3023336520', '573023336520' ),( '5175-326', 'Venta y arriendo de Casa en Altos de provenza - Bogotxc3xa1 D.C. - 5175-326', 'Espectacular casa, dos pisos, amplios espacios, iluminada. El segundo piso tiene un xc3xa1rea social amplia, una segunda cocina, balcones, chimenea, un estudio y un cuarto con baxc3xb1o. Mayor informacixc3xb3n www.brikss.com.', 'https://www.metrocuadrado.com/inmueble/venta-casa-bogota-niza-suba-4-habitaciones-5-banos-4-garajes/5175-326', 'Casa', '3500000000', 'BRIKSS SAS', 'Bogotxc3xa1 D.C.', 'ALTOS DE PROVENZA', '4.72816722', '-74.07561954', 'Carrera 76A 135-35', '111121', '740', '0', '2020-08-08', '6', 'NULL', 'Entre 10 y 20 anos', '5', '5', '4', '{\"CODIGO_WEB\": \"5175-326\", \"NOMBRE_COMUN_DEL_BARRIO\": \"ALTOS DE PROVENZA\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"NIZA SUBA\", \"ESTRATO\": \"6\", \"VALOR_DE_ARRIENDO\": \"$12.000.000\", \"VALOR_DE_VENTA\": \"$3.500.000.000\", \"AREA_CONSTRUIDA\": \"740 m\", \"AREA_DEL_LOTE\": \"740 m\", \"HABITACIONES\": \"4\", \"BANOS\": \"5 o mas\", \"PARQUEADERO\": \"4 o mas\", \"TIEMPO_DE_CONSTRUIDO\": \"Entre 10 y 20 anos\", \"TIPO_DE_CASA\": \"Tradicional\", \"ESTUDIO_O_BIBLIOTECA\": \"Si\", \"TERRAZA/BALCON\": \"Terraza\", \"CUARTO_DE_SERVICIO\": \"Si\", \"TIPO_DE_ACABADO_PISO\": \"Otro\", \"TIPO_DE_PISO_EN_ALCOBAS\": \"Otro\", \"TIPO_DE_PISO_EN_ESTUDIO\": \"Otro\", \"VIGILANCIA\": \"24hrs\", \"complementsAndFinishes\": [\"Hall de Alcobas\", \"Puertas de seguridad\", \"Citofonos\"]}', 'CL 93B # 13 - 14 OF 307', 'CL 93B # 13 - 14 OF 307/ 4661864/ BRIKSS SAS - Principal:/ 3183757239/ BRIKSS SAS - Principal', '573183757239' ),( '2120-904489', 'Venta de Apartamento en Cerros de los alpes - Bogotxc3xa1 D.C. - 2120-904489', 'Espectacular apto en cerros de los alpes de 326 mas 26 de terraza, piso , ascensor directo, vista a todo Bogota, esquinero, exterior, cuartos cada uno con bano, estudio, estar de tv, parqueaderos independientes. Club house y zonas verdes', 'https://www.metrocuadrado.com/inmueble/venta-apartamento-bogota-cerros-de-santa-barbara-4-habitaciones-5-banos-3-garajes/2120-904489', 'Apartamento', '2600000000', 'Fonnegra Fonnegra y Cia Ltda', 'Bogotxc3xa1 D.C.', 'CERROS DE LOS ALPES', '4.696831226348877', '-74.0276107788086', 'Carrera 3B 121-49', '110111', '326', '326', '2020-08-08', '6', 'NULL', 'Entre 5 y 10 anos', '5', '5', '3', '{\"CODIGO_WEB\": \"2120-904489\", \"NOMBRE_COMUN_DEL_BARRIO\": \"CERROS DE LOS ALPES\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"CERROS DE SANTA BARBARA\", \"ESTRATO\": \"6\", \"VALOR_DE_VENTA\": \"$2.600.000.000\", \"VALOR_DE_ADMINISTRACION\": \"$1.000.000\", \"AREA_CONSTRUIDA\": \"326 m\", \"AREA_PRIVADA\": \"326 m\", \"HABITACIONES\": \"4\", \"BANOS\": \"5 o mas\", \"PARQUEADERO\": \"3\", \"TIPO_DE_PARQUEADERO\": \"Independiente\", \"CONJUNTO_CERRADO\": \"Si\", \"TIEMPO_DE_CONSTRUIDO\": \"Entre 5 y 10 anos\", \"ESTUDIO_O_BIBLIOTECA\": \"Si\", \"TERRAZA/BALCON\": \"Balcon\", \"AREA_TERRAZA/BALCON\": \"26\", \"CUARTO_DE_SERVICIO\": \"Si\", \"ZONA_DE_LAVANDERIA\": \"Si\", \"NUMERO_DE_CLOSETS\": \"4\", \"TIPO_DE_CORTINAS\": \"Persianas\", \"NUMERO_DE_PISO\": \"5\", \"NUMERO_DE_ASCENSORES\": \"2\", \"VIGILANCIA\": \"24hrs\", \"CERCA_TRANSPORTE_PUBLICO\": \"Si\", \"CERCA_COLEGIOS_/_UNIVERSIDADES\": \"Si\", \"CERCA_PARQUES\": \"Si\", \"CERCA_SUPERMERCADOS\": \"Si\", \"CERCA_CENTROS_COMERCIALES\": \"Si\", \"ASCENSOR\": \"Si\", \"ZONA_DE_BBQ\": \"Si\", \"complementsAndFinishes\": [\"Comedor auxiliar\", \"Hall de Alcobas\", \"Cuarto de escoltas\", \"Vista panoramica\", \"Piscina\", \"Cancha(s) de Tennis\", \"Cancha(s) de squash\", \"Cancha(s) de Basket\", \"Cancha(s) de Futbol\", \"Gimnasio\", \"Sauna y/o turco\", \"Zonas verdes\", \"Salon comunal\", \"Zona para ninos\", \"Acceso para discapacitados\", \"Apto para ninos\", \"Se Permite Fumar\", \"Sobre via secundaria\", \"Alarma\", \"Puertas de seguridad\", \"Circuito cerrado de TV\", \"Citofonos\"]}', '-', '6156742/ Fonnegra Fonnegra y Cia Ltda - Principal/ 3153333651/ Fonnegra Fonnegra y Cia Ltda - Principal:', '573153333651' ),( '777-M2060731', 'Venta de Apartamento en El limonar - Bogotxc3xa1 D.C. - 777-M2060731', 'Apartamento de dos alcobas en un segundo piso con balcon de alcoba principal hasta la sala, cocina americana abierta en L, con zona de ropas independiente, pisos en madera laminada, alcoba principal con baxc3xb1o privado.Conjunto cuenta con piscina, zonas hxc3xbamedas, gym, salen de juegos, parque infantil, porterxc3xada, sala de espera etc.', 'https://www.metrocuadrado.com/inmueble/venta-apartamento-bogota-lisboa-2-habitaciones-2-banos-1-garajes/777-M2060731', 'Apartamento', '330000000', 'ALOJAR INMOBILIARIA S.A.', 'Bogotxc3xa1 D.C.', 'EL LIMONAR', '4.716963291168213', '-74.03605651855469', 'Calle 135C 11-33', '110121', '60', '60', '2020-08-08', '5', 'NULL', 'Entre 5 y 10 anos', '2', '2', '1', '{\"CODIGO_WEB\": \"777-M2060731\", \"NOMBRE_COMUN_DEL_BARRIO\": \"EL LIMONAR\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"LISBOA\", \"ESTRATO\": \"5\", \"VALOR_DE_VENTA\": \"$330.000.000\", \"VALOR_DE_ADMINISTRACION\": \"$285.000\", \"AREA_CONSTRUIDA\": \"60 m\", \"AREA_PRIVADA\": \"60 m\", \"HABITACIONES\": \"2\", \"BANOS\": \"2\", \"PARQUEADERO\": \"1\", \"TIPO_DE_PARQUEADERO\": \"Independiente\", \"PARQUEADERO_CUBIERTO\": \"Si\", \"DEPOSITOS\": \"1\", \"CONJUNTO_CERRADO\": \"Si\", \"TIEMPO_DE_CONSTRUIDO\": \"Entre 5 y 10 anos\", \"TERRAZA/BALCON\": \"Balcon\", \"AREA_TERRAZA/BALCON\": \"5\", \"TIPO_DE_COCINA\": \"En L\", \"TIPO_COMEDOR\": \"Sala Comedor\", \"TIPO_INSTALACION_DE_GAS\": \"Natural\", \"TIPO_DE_ESTUFA\": \"Gas\", \"TIPO_DE_CALENTADOR\": \"Gas\", \"VISTA\": \"Interior\", \"ZONA_DE_LAVANDERIA\": \"Si\", \"NUMERO_DE_CLOSETS\": \"2\", \"TIPO_DE_ACABADO_PISO\": \"Laminado\", \"TIPO_DE_PISO_EN_ALCOBAS\": \"Laminado\", \"TIPO_DE_PISO_EN_COMEDOR\": \"Laminado\", \"TIPO_DE_PISO_EN_SALA\": \"Laminado\", \"EN_INTERIOR_Y/O_BLOQUE\": \"Si\", \"NUMERO_DE_PISO\": \"2\", \"NUMERO_DE_ASCENSORES\": \"1\", \"VIGILANCIA\": \"24hrs\", \"CERCA_TRANSPORTE_PUBLICO\": \"Si\", \"CERCA_COLEGIOS_/_UNIVERSIDADES\": \"Si\", \"CERCA_PARQUES\": \"Si\", \"CERCA_SUPERMERCADOS\": \"Si\", \"CERCA_CENTROS_COMERCIALES\": \"Si\", \"ASCENSOR\": \"Si\", \"ZONA_DE_BBQ\": \"Si\", \"complementsAndFinishes\": [\"Piscina\", \"Gimnasio\", \"Sauna y/o turco\", \"Zonas verdes\", \"Salon comunal\", \"Zona para ninos\", \"Acceso para discapacitados\", \"Apto para ninos\", \"Sobre via secundaria\", \"Circuito cerrado de TV\", \"Citofonos\"]}', 'Carrera 7 # 82 - 66 Oficina 210', 'ALOJAR INMOBILIARIA S.A./ 2364752/ 3214910400/ Agente Inmobiliario:/ (1) 2364752/ inmobiliaria alojar s a/ Carrera 7 # 82 - 66 Oficina 210/ 2566683', '573214910400' ),( '815-M2500828', 'Venta de Casa en San simxc3xb3n guaymaral - Bogotxc3xa1 D.C. - 815-M2500828', 'Casa Hermosa de dos niveles, primer nivel sala de doble altura, estudio con salida al jardxc3xadn, cocina integral con despensa y cuarto de vajilla, comedor independiente de la sala con plancha de tepanyaki, al lado estxc3xa1 el comedor auxiliar, cava de vinos con temperatura controlada y amplia, segundo nivel, 5 habitaciones con baxc3xb1o y vestier, habitacixc3xb3n principal con dos vistieres, jacuzzi, solxc3xa1rium y turco, salida de terraza, segunda habitacixc3xb3n cuenta con salida a la terraza. La zona servicio es independiente a la casa, 1 piso tiene deposito, zona de lavanderxc3xada, un baxc3xb1o para el conductor, en el 2 piso se encuentra la habitacixc3xb3n para dos empleadas con baxc3xb1o y closets amplios, 4 garajes, zona de bicicletas, parqueadero de visitantes, en la terraza de la casa zona BBQ, un parasol para 8 personas, sistema de control de luces, sonido y cortinas. Paola Sandoval', 'https://www.metrocuadrado.com/inmueble/venta-casa-bogota-casa-blanca-5-habitaciones-5-banos-4-garajes/815-M2500828', 'Casa', '3900000000', 'CARRIZOSA HERMANOS LTDA', 'Bogotxc3xa1 D.C.', 'SAN SIMxc3x93N GUAYMARAL', '4.8162946701049805', '-74.04507446289062', 'Calle 238 55-35', '111176', '650', '650', '2020-08-08', '6', '2', 'Entre 10 y 20 anos', '5', '5', '4', '{\"CODIGO_WEB\": \"815-M2500828\", \"NOMBRE_COMUN_DEL_BARRIO\": \"SAN SIMON GUAYMARAL\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"CASA BLANCA\", \"ESTRATO\": \"6\", \"VALOR_DE_VENTA\": \"$3.900.000.000\", \"VALOR_DE_ADMINISTRACION\": \"$900.000\", \"AREA_CONSTRUIDA\": \"650 m\", \"AREA_PRIVADA\": \"650 m\", \"AREA_DEL_LOTE\": \"1580 m\", \"HABITACIONES\": \"5 o mas\", \"BANOS\": \"5 o mas\", \"PARQUEADERO\": \"4 o mas\", \"PARQUEADERO_CUBIERTO\": \"Si\", \"DEPOSITOS\": \"2\", \"CONJUNTO_CERRADO\": \"Si\", \"TIEMPO_DE_CONSTRUIDO\": \"Entre 10 y 20 anos\", \"TIPO_DE_CASA\": \"Condominio\", \"NUMERO_DE_NIVELES\": \"2\", \"ESTUDIO_O_BIBLIOTECA\": \"Si\", \"TERRAZA/BALCON\": \"Terraza\", \"AREA_TERRAZA/BALCON\": \"150\", \"TIPO_DE_COCINA\": \"Abierta\", \"TIPO_COMEDOR\": \"Comedor Independiente\", \"TIPO_INSTALACION_DE_GAS\": \"Natural\", \"TIPO_DE_ESTUFA\": \"Gas\", \"TIPO_DE_CALENTADOR\": \"Gas\", \"VISTA\": \"Exterior\", \"CUARTO_DE_SERVICIO\": \"Si\", \"ZONA_DE_LAVANDERIA\": \"Si\", \"CON_MUEBLES\": \"Si\", \"NUMERO_DE_CLOSETS\": \"2\", \"TIPO_DE_ACABADO_PISO\": \"Madera\", \"TIPO_DE_PISO_EN_ALCOBAS\": \"Madera\", \"TIPO_DE_PISO_EN_ESTUDIO\": \"Madera\", \"TIPO_DE_PISO_EN_COMEDOR\": \"Madera\", \"TIPO_DE_PISO_EN_SALA\": \"Madera\", \"VIGILANCIA\": \"24hrs\", \"ZONA_DE_BBQ\": \"Si\", \"complementsAndFinishes\": [\"Comedor auxiliar\", \"Hall de Alcobas\", \"Jacuzzi\", \"Cuarto de escoltas\", \"Vista panoramica\", \"Con chimenea\", \"Apto para ninos\"]}', 'Cra 10 A # 69 A - 11', '5188777/ Alfonso Carrizosa Hermanos/ 3167228825/ Agente Inmobiliario:/ 3103048310/ Paola Sandoval/ carrera 10a #69a-11', '573167228825' ),( 'MC2465121', 'Venta de Casa en San jose spring - Bogotxc3xa1 D.C. - MC2465121', 'Casa unifamiliar Barrio Spring, a una cuadra de la autopista norte y estacixc3xb3n Alcalxc3xa1 de TM, Primer piso, Ante jardxc3xadn cubierto para garaje o local, garaje, baxc3xb1o, sala-comedor, cocina integral con deposito. Segundo piso, 4 alcobas, baxc3xb1o y sala de estar. Tercer piso, 2 alcobas, estudio y cuarto de ropas. Cerca a centros comerciales, parques y colegios, zona de gran desarrollo, Colina Campestre y Cedritos. Excelente ubicacixc3xb3n.', 'https://www.metrocuadrado.com/inmueble/venta-casa-bogota-san-jose-del-prado-5-habitaciones-2-banos-1-garajes/MC2465121', 'Casa', '680000000', 'David David', 'Bogotxc3xa1 D.C.', 'SAN JOSE SPRING', '4.7219477', '-74.05317', 'Carrera 46 135-50', '111111', '237', '237', '2020-08-08', 'NULL', 'NULL', 'Mas de 20 anos', '2', '2', '1', '{\"CODIGO_WEB\": \"MC2465121\", \"NOMBRE_COMUN_DEL_BARRIO\": \"SAN JOSE SPRING\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"SAN JOSE DEL PRADO\", \"VALOR_DE_VENTA\": \"$680.000.000\", \"NUMERO_DE_PISO\": \"3\", \"TIEMPO_DE_CONSTRUIDO\": \"Mas de 20 anos\", \"AREA_CONSTRUIDA\": \"237 m\", \"AREA_PRIVADA\": \"237 m\", \"HABITACIONES\": \"5 o mas\", \"BANOS\": \"2\", \"PARQUEADERO\": \"1\", \"TIPO_DE_PARQUEADERO\": \"Independiente\", \"CARACTERISTICAS_DEL_PARQUEADERO\": \"Cubierto\", \"complementsAndFinishes\": [\"Alarma\", \"Cocina integral\", \"Estudio o biblioteca\", \"Piso en baldosa\", \"Zona de lavanderia\", \"Cerca Centros Comerciales\", \"Cerca Colegios / Universidades\", \"Cerca Parques\", \"Cerca Supermercados\", \"Cerca Transporte Publico\", \"Zona Residencial\"]}', 'NULL', '3202745257/ 3158788930/ David David/ David David:/ 9289421', '573158788930' ),( '5175-1914', 'Venta de Apartamento en Los rosales - Bogotxc3xa1 D.C. - 5175-1914', 'Lindo apartamento de 45 Mts2, una alcoba, un baxc3xb1o, sala con chimenea, comedor, cocina integral abierta, vista exterior e iluminacixc3xb3n natural, piso en madera natural, el edificio cuenta con seguridad privada, ascensor, lavanderxc3xada.', 'https://www.metrocuadrado.com/inmueble/venta-apartamento-bogota-bellavista-1-habitaciones-1-banos-1-garajes/5175-1914', 'Apartamento', '380000000', 'BRIKSS SAS', 'Bogotxc3xa1 D.C.', 'Los Rosales', '4.656804680798692', '-74.0518902569973', 'Calle 75 4-7', '110221', '45', '45', '2020-08-08', '6', 'NULL', 'Entre 10 y 20 anos', '1', '1', '1', '{\"CODIGO_WEB\": \"5175-1914\", \"NOMBRE_COMUN_DEL_BARRIO\": \"Los Rosales\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"BELLAVISTA\", \"ESTRATO\": \"6\", \"VALOR_DE_VENTA\": \"$380.000.000\", \"VALOR_DE_ADMINISTRACION\": \"$380.000\", \"AREA_CONSTRUIDA\": \"45 m\", \"AREA_PRIVADA\": \"45 m\", \"HABITACIONES\": \"1\", \"BANOS\": \"1\", \"PARQUEADERO\": \"1\", \"TIEMPO_DE_CONSTRUIDO\": \"Entre 10 y 20 anos\", \"TERRAZA/BALCON\": \"Ninguno\", \"TIPO_COMEDOR\": \"Sala Comedor\", \"VISTA\": \"Exterior\", \"TIPO_DE_ACABADO_PISO\": \"Otro\", \"TIPO_DE_PISO_EN_ALCOBAS\": \"Otro\", \"TIPO_DE_PISO_EN_ESTUDIO\": \"Otro\", \"NUMERO_DE_ASCENSORES\": \"1\", \"VIGILANCIA\": \"24hrs\", \"ASCENSOR\": \"Si\", \"complementsAndFinishes\": []}', 'CL 93B # 13 - 14 OF 307', 'CL 93B # 13 - 14 OF 307/ 4661864/ BRIKSS SAS - Principal:/ 3183757239/ BRIKSS SAS - Principal', '573183757239' ),( '633-211', 'Venta y arriendo de Casa en Nicolas de federman - Bogotxc3xa1 D.C. - 633-211', 'CASA LOTE DE TRECIENTOS DIEZ METROS CUADRADOS, EL LOTE TIENE UNA CASA PREFABRICADA DE DOS HABITACIONES, COCINA SEMIINTEGRAL, SALA COMEDOR, BAxc3x91O Y ZONA DE LAVANDERxc3x8dA. PARQUEADERO PARA UN CARRO. once X veintiocho.', 'https://www.metrocuadrado.com/inmueble/venta-casa-bogota-campin-occidental-2-habitaciones-1-banos-1-garajes/633-211', 'Casa', '1600000000', 'GRUPO INMOBILIARIO CRECER SAS', 'Bogotxc3xa1 D.C.', 'Nicolas De Federman', '4.649185761241317', '-74.0804885829666', 'Calle 58A 35A-41', '111321', '310.00', '310.00', '2020-08-08', '4', 'NULL', 'Entre 5 y 10 anos', '1', '1', '1', '{\"CODIGO_WEB\": \"633-211\", \"NOMBRE_COMUN_DEL_BARRIO\": \"Nicolas De Federman\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"CAMPIN OCCIDENTAL\", \"ESTRATO\": \"4\", \"VALOR_DE_ARRIENDO\": \"$1.350.000\", \"VALOR_DE_VENTA\": \"$1.600.000.000\", \"AREA_CONSTRUIDA\": \"310.00 m\", \"AREA_PRIVADA\": \"310.00 m\", \"HABITACIONES\": \"2\", \"BANOS\": \"1\", \"PARQUEADERO\": \"1\", \"TIEMPO_DE_CONSTRUIDO\": \"Entre 5 y 10 anos\", \"TIPO_DE_CASA\": \"Tradicional\", \"TIPO_COMEDOR\": \"Sala Comedor\", \"VISTA\": \"Exterior\", \"ZONA_DE_LAVANDERIA\": \"Si\", \"TIPO_DE_ACABADO_PISO\": \"Baldosa\", \"TIPO_DE_PISO_EN_ALCOBAS\": \"Baldosa\", \"CERCA_TRANSPORTE_PUBLICO\": \"Si\", \"CERCA_COLEGIOS_/_UNIVERSIDADES\": \"Si\", \"CERCA_PARQUES\": \"Si\", \"CERCA_SUPERMERCADOS\": \"Si\", \"CERCA_CENTROS_COMERCIALES\": \"Si\", \"complementsAndFinishes\": [\"Sobre via secundaria\"]}', 'Cll 63 No 35 a 37', '3108696065/ grupo inmobiliario crecer - Principal:/ 3108576764/ Cll 63 No 35 a 37/ 3153200/ grupo inmobiliario crecer - Principal', 'NULL' ),( '887-M2614852', 'Venta de Apartamento en El cedrito - Bogotxc3xa1 D.C. - 887-M2614852', 'Bogota sector el Cedrito, Apartamento muy cxc3xb3modo, buenos acabados, iluminado y muy bien ubicado. ', 'https://www.metrocuadrado.com/inmueble/venta-apartamento-bogota-los-cedritos-3-habitaciones-2-banos-1-garajes/887-M2614852', 'Apartamento', '400000000', 'GUILLERMO DUQUE INMOBILIARIA', 'Bogotxc3xa1 D.C.', 'El CEDRITO', '4.730204105377197', '-74.04576110839844', 'Avenida Calle 147 19-30', '110131', '100', '100', '2020-08-08', '4', 'NULL', 'Entre 5 y 10 anos', '2', '2', '1', '{\"CODIGO_WEB\": \"887-M2614852\", \"NOMBRE_COMUN_DEL_BARRIO\": \"El CEDRITO\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"LOS CEDRITOS\", \"ESTRATO\": \"4\", \"VALOR_DE_VENTA\": \"$400.000.000\", \"VALOR_DE_ADMINISTRACION\": \"$250.000\", \"AREA_CONSTRUIDA\": \"100 m\", \"AREA_PRIVADA\": \"100 m\", \"HABITACIONES\": \"3\", \"BANOS\": \"2\", \"PARQUEADERO\": \"1\", \"TIPO_DE_PARQUEADERO\": \"Propio\", \"PARQUEADERO_CUBIERTO\": \"Si\", \"CONJUNTO_CERRADO\": \"Si\", \"TIEMPO_DE_CONSTRUIDO\": \"Entre 5 y 10 anos\", \"ESTUDIO_O_BIBLIOTECA\": \"Si\", \"TIPO_DE_COCINA\": \"Paralela\", \"TIPO_COMEDOR\": \"Sala Comedor\", \"TIPO_INSTALACION_DE_GAS\": \"Natural\", \"TIPO_DE_ESTUFA\": \"Gas\", \"TIPO_DE_CALENTADOR\": \"Gas\", \"VISTA\": \"Exterior\", \"ZONA_DE_LAVANDERIA\": \"Si\", \"NUMERO_DE_CLOSETS\": \"3\", \"EN_INTERIOR_Y/O_BLOQUE\": \"Si\", \"NUMERO_DE_PISO\": \"1\", \"VIGILANCIA\": \"24hrs\", \"CERCA_TRANSPORTE_PUBLICO\": \"Si\", \"CERCA_COLEGIOS_/_UNIVERSIDADES\": \"Si\", \"CERCA_PARQUES\": \"Si\", \"CERCA_SUPERMERCADOS\": \"Si\", \"CERCA_CENTROS_COMERCIALES\": \"Si\", \"complementsAndFinishes\": [\"Sobre via secundaria\"]}', 'Carrera 81 #4G - 65', '3008365673/ GUILLERMO DUQUE INMOBILIARIA:/ GUILLERMO DUQUE INMOBILIARIA/ (4) 2040744', '573008365673' ),( '847-4004', 'Venta y arriendo de Apartamento en Los rosales - Bogotxc3xa1 D.C. - 847-4004', 'En el exclusivo sector de Los Rosales, donde contarxc3xa1s con gran tranquilidad y acceso a excelentes vxc3xadas de movilizacixc3xb3n como la carrera sxc3xa9ptima, estamos ofreciendo para arriendo o venta este espectacular apartamento. Podrxc3xa1s ingresar a la propiedad a travxc3xa9s de un ascensor privado, y al hacerlo verxc3xa1s que hay aspectos que resaltan dentro del lugar, como su disexc3xb1o, sus espacios y lo luminosos que son. El xc3xa1rea social posee amplios ventanales de piso a techo que permiten una entrada total de luz nat', 'https://www.metrocuadrado.com/inmueble/venta-apartamento-bogota-los-rosales-3-habitaciones-4-banos-3-garajes/847-4004', 'Apartamento', '3900000000', 'PADS', 'Bogotxc3xa1 D.C.', 'Los Rosales', '4.660006796513658', '-74.05030510233371', 'Carrera 5 78-95', '110221', '275', '0', '2020-08-08', '6', 'NULL', 'Entre 0 y 5 anos', '4', '4', '3', '{\"CODIGO_WEB\": \"847-4004\", \"NOMBRE_COMUN_DEL_BARRIO\": \"Los Rosales\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"LOS ROSALES\", \"ESTRATO\": \"6\", \"VALOR_DE_ARRIENDO\": \"$17.000.000\", \"VALOR_DE_VENTA\": \"$3.900.000.000\", \"VALOR_DE_ADMINISTRACION\": \"$2.000.000\", \"AREA_CONSTRUIDA\": \"275 m\", \"HABITACIONES\": \"3\", \"BANOS\": \"4\", \"PARQUEADERO\": \"3\", \"TIPO_DE_PARQUEADERO\": \"Independiente\", \"CONJUNTO_CERRADO\": \"Si\", \"TIEMPO_DE_CONSTRUIDO\": \"Entre 0 y 5 anos\", \"ESTUDIO_O_BIBLIOTECA\": \"Si\", \"TERRAZA/BALCON\": \"Balcon\", \"TIPO_COMEDOR\": \"Sala Comedor\", \"TIPO_INSTALACION_DE_GAS\": \"Natural\", \"VISTA\": \"Exterior\", \"CUARTO_DE_SERVICIO\": \"Si\", \"ZONA_DE_LAVANDERIA\": \"Si\", \"TIPO_DE_ACABADO_PISO\": \"Madera\", \"TIPO_DE_PISO_EN_ALCOBAS\": \"Madera\", \"TIPO_DE_PISO_EN_ESTUDIO\": \"Madera\", \"EN_INTERIOR_Y/O_BLOQUE\": \"Si\", \"NUMERO_DE_PISO\": \"6\", \"NUMERO_DE_ASCENSORES\": \"1\", \"VIGILANCIA\": \"24hrs\", \"CERCA_TRANSPORTE_PUBLICO\": \"Si\", \"CERCA_PARQUES\": \"Si\", \"CERCA_SUPERMERCADOS\": \"Si\", \"CERCA_CENTROS_COMERCIALES\": \"Si\", \"ASCENSOR\": \"Si\", \"complementsAndFinishes\": [\"Hall de Alcobas\", \"Cuarto de escoltas\", \"Con chimenea\", \"Piscina\", \"Gimnasio\", \"Salon comunal\", \"Zona para ninos\", \"Sobre via secundaria\", \"Citofonos\"]}', 'Calle 93B #11A-84 piso 3', 'PADS:/ Calle 93B #11A-84 piso 3 CC Portobelo/ 2566701/ 3142007942/ PADS', '573142007942' ),( '681-M2194774', 'Venta de Apartamento en Santa ana oriental - Bogotxc3xa1 D.C. - 681-M2194774', 'Apartamento ubicado en el exclusivo sector de Santa Ana Oriental, el edifico esta rodeado de espectaculares casas, sector muy seguro . El apartamento cuenta con 3 alcobas, alcoba baxc3xb1o de servicio, estudio y terraza.', 'https://www.metrocuadrado.com/inmueble/venta-apartamento-bogota-santa-ana-oriental-3-habitaciones-3-banos-2-garajes/681-M2194774', 'Apartamento', '850000000', 'PUNTO INMOBILIARIO - B.M. S.A.S', 'Bogotxc3xa1 D.C.', 'SANTA ANA ORIENTAL', '4.688530921936035', '-74.03411865234375', 'Calle 110 6-50', '110111', '121', '117', '2020-08-08', '6', 'NULL', 'Mas de 20 anos', '3', '3', '2', '{\"CODIGO_WEB\": \"681-M2194774\", \"NOMBRE_COMUN_DEL_BARRIO\": \"SANTA ANA ORIENTAL\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"SANTA ANA ORIENTAL\", \"ESTRATO\": \"6\", \"VALOR_DE_VENTA\": \"$850.000.000\", \"VALOR_DE_ADMINISTRACION\": \"$600.000\", \"AREA_CONSTRUIDA\": \"121 m\", \"AREA_PRIVADA\": \"117 m\", \"HABITACIONES\": \"3\", \"BANOS\": \"3\", \"PARQUEADERO\": \"2\", \"TIPO_DE_PARQUEADERO\": \"Propio\", \"PARQUEADERO_CUBIERTO\": \"Si\", \"DEPOSITOS\": \"1\", \"TIEMPO_DE_CONSTRUIDO\": \"Mas de 20 anos\", \"ESTUDIO_O_BIBLIOTECA\": \"Si\", \"TERRAZA/BALCON\": \"Terraza\", \"AREA_TERRAZA/BALCON\": \"30\", \"TIPO_DE_COCINA\": \"Lineal\", \"TIPO_COMEDOR\": \"Sala Comedor\", \"TIPO_INSTALACION_DE_GAS\": \"Natural\", \"TIPO_DE_ESTUFA\": \"Gas\", \"TIPO_DE_CALENTADOR\": \"Gas\", \"VISTA\": \"Exterior\", \"CUARTO_DE_SERVICIO\": \"Si\", \"NUMERO_DE_CLOSETS\": \"3\", \"TIPO_DE_ACABADO_PISO\": \"Madera\", \"TIPO_DE_PISO_EN_ALCOBAS\": \"Madera\", \"TIPO_DE_PISO_EN_COMEDOR\": \"Madera\", \"TIPO_DE_PISO_EN_SALA\": \"Madera\", \"NUMERO_DE_PISO\": \"2\", \"NUMERO_DE_ASCENSORES\": \"1\", \"VIGILANCIA\": \"24hrs\", \"CERCA_TRANSPORTE_PUBLICO\": \"Si\", \"CERCA_COLEGIOS_/_UNIVERSIDADES\": \"Si\", \"CERCA_CENTROS_COMERCIALES\": \"Si\", \"ASCENSOR\": \"Si\", \"complementsAndFinishes\": [\"Con chimenea\", \"Citofonos\"]}', 'AVENIDA 15 No 124 -65 OF 704', '6204300/ (1) 6204300/ olga lucia rueda salazar/ 3124332588/ AV 15 # 124-65/ Agente Inmobiliario:/ 3112514804/ PUNTO INMOBILIARIO - B.M. S.A.S', '573112514804' ),( '11233-2377790', 'Venta de Bodega en San rafael - Bogotxc3xa1 D.C. - 11233-2377790', 'Bodega en lote esquinero de casi 147 mts2 12 de frente x 15 de fondo situada en la Carrera 53C con Calle 5B. Las vxc3xadas de acceso a la bodega son amplias y rxc3xa1pidas, muy cerca de Puente Aranda. Tiene una entrada para vehxc3xadculos medianos sobre la carrera. Estxc3xa1 situada en San Rafael, un barrio residencial e industrial por lo que puede ser destinada a bodegaje y o a actividades industriales limpias y de bajo ruido. Piso en concreto y sercha metalica en el techo. Incluye una pequexc3xb1a', 'https://www.metrocuadrado.com/inmueble/venta-bodega-bogota-san-rafael/11233-2377790', 'Bodega', '480000000', 'LOYAL CITY BIENES RAICES', 'Bogotxc3xa1 D.C.', 'SAN RAFAEL', '4.622081608857017', '-74.1125116798233', 'Carrera 53BBIS 5A-52', '111611', '147', '0', '2020-08-08', '3', 'NULL', 'Mas de 20 anos', '', '', '', '{\"CODIGO_WEB\": \"11233-2377790\", \"NOMBRE_COMUN_DEL_BARRIO\": \"SAN RAFAEL\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"SAN RAFAEL\", \"ESTRATO\": \"3\", \"VALOR_DE_VENTA\": \"$480.000.000\", \"AREA_CONSTRUIDA\": \"147 m\", \"TIEMPO_DE_CONSTRUIDO\": \"Mas de 20 anos\", \"TIPO_BODEGA\": \"Otro\", \"TIPO_DE_ACABADO_PISO\": \"Otro\", \"complementsAndFinishes\": []}', 'CARRERA 67 # 46 -14', '3002660813/ LOYAL CITY BIENES RAICES:/ LOYAL CITY BIENES RAICES', '573118448126' ),( '2266-1972413', 'Venta de Apartamento en Santa barbara occidental - Bogotxc3xa1 D.C. - 2266-1972413', 'Vendo apartamento en piso 4, exterior en muy buen estado. El apto tiene 3 alcobas, 2 baxc3xb1os, sala comedor con chimenea. Cocina cerrada, cuarto y baxc3xb1o de servicio. Zona de lavanderxc3xada. Un Parqueadero cubierto. Los pisos del apto estxc3xa1n en madera laminada. Cocina y baxc3xb1os en buen estado de conservacixc3xb3n. Edificio con vigilancia 24 horas. En excelente estado, ladrillo a la vista. Linda recepcixc3xb3n, excelente ubicacion porque es residencial con bastante comercio por lo tanto se encuentra t', 'https://www.metrocuadrado.com/inmueble/venta-apartamento-bogota-santa-barbara-occidental-3-habitaciones-3-banos-1-garajes/2266-1972413', 'Apartamento', '425000000', 'Boutique de Bienes Raices', 'Bogotxc3xa1 D.C.', 'SANTA BARBARA OCCIDENTAL', '4.706132731731016', '-74.05043758211897', 'Avenida Calle 127 20-4', '110121', '93', '93', '2020-08-08', '5', 'NULL', 'Mas de 20 anos', '3', '3', '1', '{\"CODIGO_WEB\": \"2266-1972413\", \"NOMBRE_COMUN_DEL_BARRIO\": \"SANTA BARBARA OCCIDENTAL\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"SANTA BARBARA OCCIDENTAL\", \"ESTRATO\": \"5\", \"VALOR_DE_VENTA\": \"$425.000.000\", \"VALOR_DE_ADMINISTRACION\": \"$385.000\", \"AREA_CONSTRUIDA\": \"93 m\", \"AREA_PRIVADA\": \"93 m\", \"HABITACIONES\": \"3\", \"BANOS\": \"3\", \"PARQUEADERO\": \"1\", \"TIEMPO_DE_CONSTRUIDO\": \"Mas de 20 anos\", \"TIPO_COMEDOR\": \"Sala Comedor\", \"TIPO_DE_ACABADO_PISO\": \"Otro\", \"TIPO_DE_PISO_EN_ALCOBAS\": \"Otro\", \"NUMERO_DE_PISO\": \"4\", \"NUMERO_DE_ASCENSORES\": \"1\", \"ASCENSOR\": \"Si\", \"complementsAndFinishes\": [\"Comedor auxiliar\", \"Hall de Alcobas\", \"Con chimenea\", \"Citofonos\"]}', 'na', 'XIMENA FERNANDEZ/ 3138528340/ CL 0 # 0 - 0/ XIMENA FERNANDEZ:', '573138528340' ),( '681-458', 'Venta de Local Comercial en Puente aranda - Bogotxc3xa1 D.C. - 681-458', 'LOCAL UBICADO EN EL CENTRO COMERCIA OUTLET FACTORY, CENTRADO EN EL PRIMER PISO.LUGAR CONCURRIDO MUY BIEN UBICADO.', 'https://www.metrocuadrado.com/inmueble/venta-local-comercial-bogota-salazar-gomez/681-458', 'Local Comercial', '3460000000', 'PUNTO INMOBILIARIO - B.M. S.A.S', 'Bogotxc3xa1 D.C.', 'Puente Aranda', '4.628376343649677', '-74.11732013354063', 'Avenida Calle 9-0', '111611', '213.00', '213.00', '2020-08-08', '7', 'NULL', 'Entre 5 y 10 anos', '', '', '', '{\"CODIGO_WEB\": \"681-458\", \"NOMBRE_COMUN_DEL_BARRIO\": \"Puente Aranda\", \"NOMBRE_DEL_BARRIO_CATASTRAL\": \"SALAZAR GOMEZ\", \"ESTRATO\": \"7\", \"VALOR_DE_VENTA\": \"$3.460.000.000\", \"VALOR_DE_ADMINISTRACION\": \"$3.900.000\", \"AREA_CONSTRUIDA\": \"213.00 m\", \"AREA_PRIVADA\": \"213.00 m\", \"TIEMPO_DE_CONSTRUIDO\": \"Entre 5 y 10 anos\", \"TIPO_LOCAL\": \"Otro\", \"complementsAndFinishes\": []}', 'AVENIDA 15 No 124 -65 OF 704', '6204300/ 3124332588/ AV 15 # 124-65/ PUNTO INMOBILIARIO - B.M. S.A.S:/ PUNTO INMOBILIARIO - B.M. S.A.S', '573124332588' )" #mycursor.execute(mybulk) myresult = mycursor.fetchall() #mycursor.execute("ALTER TABLE states ADD PRIMARY KEY (id_web)")

2,071.555556

43,125

0.694422

12,412

93,220

5.074041

0.082662

0.012385

0.01899

0.01753

0.994871

0

0.105536

0.10206

93,220

44

43,126

2,118.636364

0.646847

0.488318

0

1.228571

0.640849

0.005748

0

0.022727

0

1

0

false

0.028571

0.085714

0

0.085714

0

null

0

1

0

1

0

1

0

null

0

1

0

11

37e03a2b78a94c424c74848e33459cc7a4920cc8

343

py

Python

tests/internal/instance_type/test_instance_type_d_auto.py

frolovv/aws.ec2.compare

582805823492f833d65c0441c4a14dce697c12aa

[ "Apache-2.0" ]

null

tests/internal/instance_type/test_instance_type_d_auto.py

frolovv/aws.ec2.compare

582805823492f833d65c0441c4a14dce697c12aa

[ "Apache-2.0" ]

null

tests/internal/instance_type/test_instance_type_d_auto.py

frolovv/aws.ec2.compare

582805823492f833d65c0441c4a14dce697c12aa

[ "Apache-2.0" ]

1

2021-12-15T11:58:22.000Z

# Testing module instance_type.d import pytest import ec2_compare.internal.instance_type.d def test_get_internal_data_instance_type_d_get_instances_list(): assert len(ec2_compare.internal.instance_type.d.get_instances_list()) > 0 def test_get_internal_data_instance_type_d_get(): assert len(ec2_compare.internal.instance_type.d.get) > 0

34.3

75

0.845481

56

343

4.732143

0.339286

0.271698

0.29434

0.241509

0.826415

0.611321

0

0.015773

0.075802

343

9

76

38.111111

0.820189

0.087464

0

0.333333

1

0.333333

true

0

0.333333

0

0.666667

0

null

1

0

1

0

null

0

1

0

1

0

9

37f6822c952d4950cb8f56a716319fb9dcb24ea3

10,071

py

Python

src/openprocurement/tender/cfaua/views/bid_document.py

ProzorroUKR/openprocurement.api

2855a99aa8738fb832ee0dbad4e9590bd3643511

[ "Apache-2.0" ]

10

2020-02-18T01:56:21.000Z

2022-03-28T00:32:57.000Z

src/openprocurement/tender/cfaua/views/bid_document.py

quintagroup/openprocurement.api

2855a99aa8738fb832ee0dbad4e9590bd3643511

[ "Apache-2.0" ]

26

2018-07-16T09:30:44.000Z

2021-02-02T17:51:30.000Z

src/openprocurement/tender/cfaua/views/bid_document.py

ProzorroUKR/openprocurement.api

2855a99aa8738fb832ee0dbad4e9590bd3643511

[ "Apache-2.0" ]

15

2019-08-08T10:50:47.000Z

2022-02-05T14:13:36.000Z

# -*- coding: utf-8 -*- from openprocurement.api.utils import json_view from openprocurement.api.validation import ( validate_file_update, validate_patch_document_data, validate_file_upload, ) from openprocurement.tender.core.validation import ( validate_bid_document_operation_period, unless_allowed_by_qualification_milestone, validate_bid_document_operation_in_award_status, ) from openprocurement.tender.core.utils import optendersresource from openprocurement.tender.cfaua.utils import ( bid_financial_documents_resource, bid_eligibility_documents_resource, bid_qualification_documents_resource, ) from openprocurement.tender.openua.views.bid_document import TenderUaBidDocumentResource from openprocurement.tender.openua.validation import ( validate_download_bid_document, validate_update_bid_document_confidentiality, ) from openprocurement.tender.openeu.validation import ( validate_view_bid_documents_allowed_in_tender_status, validate_view_financial_bid_documents_allowed_in_tender_status, validate_view_bid_documents_allowed_in_bid_status, validate_view_financial_bid_documents_allowed_in_bid_status, validate_bid_document_operation_in_bid_status, ) from openprocurement.tender.cfaua.validation import ( validate_add_bid_document_not_in_allowed_tender_status, validate_add_bid_financial_document_not_in_allowed_tender_status, ) # @optendersresource( # name="closeFrameworkAgreementUA:Tender Bid Documents", # collection_path="/tenders/{tender_id}/bids/{bid_id}/documents", # path="/tenders/{tender_id}/bids/{bid_id}/documents/{document_id}", # procurementMethodType="closeFrameworkAgreementUA", # description="Tender EU bidder documents", # ) class TenderEUBidDocumentResource(TenderUaBidDocumentResource): container = "documents" @json_view( validators=( validate_view_bid_documents_allowed_in_tender_status, validate_view_bid_documents_allowed_in_bid_status, ), permission="view_tender" ) def collection_get(self): return super(TenderEUBidDocumentResource, self).collection_get() @json_view( validators=( validate_file_upload, validate_bid_document_operation_period, validate_bid_document_operation_in_award_status, validate_bid_document_operation_in_bid_status, unless_allowed_by_qualification_milestone( validate_add_bid_document_not_in_allowed_tender_status ), ), permission="edit_bid", ) def collection_post(self): return super(TenderEUBidDocumentResource, self).collection_post() @json_view( validators=( validate_view_bid_documents_allowed_in_tender_status, validate_view_bid_documents_allowed_in_bid_status, validate_download_bid_document, ), permission="view_tender", ) def get(self): return super(TenderEUBidDocumentResource, self).get() @json_view( content_type="application/json", validators=( validate_patch_document_data, validate_bid_document_operation_period, validate_bid_document_operation_in_award_status, validate_update_bid_document_confidentiality, validate_bid_document_operation_in_bid_status, unless_allowed_by_qualification_milestone( validate_add_bid_document_not_in_allowed_tender_status ), ), permission="edit_bid", ) def patch(self): return super(TenderEUBidDocumentResource, self).patch() @json_view( validators=( validate_file_update, validate_bid_document_operation_period, validate_bid_document_operation_in_award_status, validate_update_bid_document_confidentiality, validate_bid_document_operation_in_bid_status, unless_allowed_by_qualification_milestone( validate_add_bid_document_not_in_allowed_tender_status ), ), permission="edit_bid", ) def put(self): return super(TenderEUBidDocumentResource, self).put() # @bid_eligibility_documents_resource( # name="closeFrameworkAgreementUA:Tender Bid Eligibility Documents", # collection_path="/tenders/{tender_id}/bids/{bid_id}/eligibility_documents", # path="/tenders/{tender_id}/bids/{bid_id}/eligibility_documents/{document_id}", # procurementMethodType="closeFrameworkAgreementUA", # description="Tender EU bidder eligibility documents", # ) class TenderEUBidEligibilityDocumentResource(TenderEUBidDocumentResource): container = "eligibilityDocuments" # @bid_financial_documents_resource( # name="closeFrameworkAgreementUA:Tender Bid Financial Documents", # collection_path="/tenders/{tender_id}/bids/{bid_id}/financial_documents", # path="/tenders/{tender_id}/bids/{bid_id}/financial_documents/{document_id}", # procurementMethodType="closeFrameworkAgreementUA", # description="Tender EU bidder financial documents", # ) class TenderEUBidFinancialDocumentResource(TenderEUBidDocumentResource): container = "financialDocuments" @json_view( validators=( validate_view_financial_bid_documents_allowed_in_tender_status, validate_view_financial_bid_documents_allowed_in_bid_status, ), permission="view_tender", ) def collection_get(self): return super(TenderEUBidFinancialDocumentResource, self).collection_get() @json_view( validators=( validate_view_financial_bid_documents_allowed_in_tender_status, validate_view_financial_bid_documents_allowed_in_bid_status, validate_download_bid_document, ), permission="view_tender", ) def get(self): return super(TenderEUBidFinancialDocumentResource, self).get() @json_view( validators=( validate_file_upload, validate_bid_document_operation_period, validate_bid_document_operation_in_award_status, validate_bid_document_operation_in_bid_status, unless_allowed_by_qualification_milestone( validate_add_bid_financial_document_not_in_allowed_tender_status ), ), permission="edit_bid", ) def collection_post(self): return super(TenderEUBidFinancialDocumentResource, self).collection_post() @json_view( content_type="application/json", validators=( validate_patch_document_data, validate_bid_document_operation_period, validate_bid_document_operation_in_award_status, validate_update_bid_document_confidentiality, validate_bid_document_operation_in_bid_status, unless_allowed_by_qualification_milestone( validate_add_bid_financial_document_not_in_allowed_tender_status ), ), permission="edit_bid", ) def patch(self): return super(TenderEUBidFinancialDocumentResource, self).patch() @json_view( validators=( validate_file_update, validate_bid_document_operation_period, validate_bid_document_operation_in_award_status, validate_update_bid_document_confidentiality, validate_bid_document_operation_in_bid_status, unless_allowed_by_qualification_milestone( validate_add_bid_financial_document_not_in_allowed_tender_status ), ), permission="edit_bid", ) def put(self): return super(TenderEUBidFinancialDocumentResource, self).put() # @bid_qualification_documents_resource( # name="closeFrameworkAgreementUA:Tender Bid Qualification Documents", # collection_path="/tenders/{tender_id}/bids/{bid_id}/qualification_documents", # path="/tenders/{tender_id}/bids/{bid_id}/qualification_documents/{document_id}", # procurementMethodType="closeFrameworkAgreementUA", # description="Tender EU bidder qualification documents", # ) class TenderEUBidQualificationDocumentResource(TenderEUBidFinancialDocumentResource): container = "qualificationDocuments" @json_view( validators=( validate_file_upload, validate_bid_document_operation_period, validate_bid_document_operation_in_award_status, validate_bid_document_operation_in_bid_status, unless_allowed_by_qualification_milestone( validate_add_bid_document_not_in_allowed_tender_status ), ), permission="edit_bid", ) def collection_post(self): return super(TenderEUBidFinancialDocumentResource, self).collection_post() @json_view( content_type="application/json", validators=( validate_patch_document_data, validate_bid_document_operation_period, validate_bid_document_operation_in_award_status, validate_update_bid_document_confidentiality, validate_bid_document_operation_in_bid_status, unless_allowed_by_qualification_milestone( validate_add_bid_document_not_in_allowed_tender_status ), ), permission="edit_bid", ) def patch(self): return super(TenderEUBidFinancialDocumentResource, self).patch() @json_view( validators=( validate_file_update, validate_bid_document_operation_period, validate_bid_document_operation_in_award_status, validate_update_bid_document_confidentiality, validate_bid_document_operation_in_bid_status, unless_allowed_by_qualification_milestone( validate_add_bid_document_not_in_allowed_tender_status ), ), permission="edit_bid", ) def put(self): return super(TenderEUBidFinancialDocumentResource, self).put()

38.003774

88

0.722173

978

10,071

6.888548

0.079755

0.078373

0.084607

0.124685

0.82366

0.798575

0.742615

0.731928

0.721835

0.607392

0

0.000126

0.213286

10,071

264

89

38.147727

0.850183

0.148943

0

0.766355

0

0.02728

0.002576

0

1

0.060748

false

0

0.042056

0.060748

0.200935

0

null

0

1

0

1

0

null

0

7

533a76d3ceae3008ff3d6996e810eb87ecb65e10

16,210

py

Python

test/oscprob2nu_plot.py

mbustama/NuOscProbExact

76c816e75a995fbeeb98b0249a7b9e03769aa12b

[ "MIT" ]

14

2019-04-30T01:40:45.000Z

2022-03-23T05:00:13.000Z

test/oscprob2nu_plot.py

mbustama/NuOscProbExact

76c816e75a995fbeeb98b0249a7b9e03769aa12b

[ "MIT" ]

1

2022-03-11T14:33:03.000Z

test/oscprob2nu_plot.py

mbustama/NuOscProbExact

76c816e75a995fbeeb98b0249a7b9e03769aa12b

[ "MIT" ]

9

2019-04-30T16:47:25.000Z

2022-03-23T05:00:19.000Z

# -*- coding: utf-8 -*- r"""Routines to plot two-neutrino flavor-transition probabilities. This module contains contains routines to plot two-neutrino oscillation probabilities vs. the neutrino baseline and energy. These routines are used by run_testsuite.py to produce a suite of test plots. Routine listings ---------------- * plot_probability_2nu_vs_baseline - Plot probabilities vs. baseline * plot_probability_2nu_vs_energy - Plot probabilities vs. energy Created: 2019/04/22 18:35 Last modified: 2019/04/22 19:31 """ __version__ = "1.0" __author__ = "Mauricio Bustamante" __email__ = "mbustamante@gmail.com" from numpy import * import numpy as np from pylab import * from matplotlib import * import matplotlib as mpl import sys sys.path.append('../src') sys.path.append('../test') import oscprob2nu import hamiltonians2nu from globaldefs import * def plot_probability_2nu_vs_baseline( case, sector, energy=1.e-1, log10_l_min=0.0, log10_l_max=3.0, log10_l_npts=6000, plot_prob_ee=True, plot_prob_em=True, plot_prob_mm=False, output_filename='prob_vs_baseline', output_format='pdf', output_path='../fig/', legend_loc='center left', legend_ncol=1): r"""Generates and saves a plot of 2nu probabilities vs. baseline. Generates a plot of two-neutrino oscillation probabilities vs. baseline, for a fixed neutrino energy. The probabilities to be plotted are turned on and off via the flags plot_prob_ee, plot_prob_em, etc. (At least one of them must be True.) The parameter 'case' selects between 'vacuum', 'matter', 'nsi', and 'liv' (see below). The plot is saved with the provided name and file format under the specified path. Parameters ---------- case : str Not optional. Must be one of the following: 'vacuum', 'matter', 'nsi', or 'liv'. In each case, the probabilities are computed using the default parameter values pulled from globaldefs. sector : str Not optional. Must be one of the following: '12' (for nu_e <--> nu_mu oscillations) of '23' (for nu_mu <--> nu_tau oscillations). energy : float, optional Neutrino energy [GeV]. log10_l_min : float, optional Log10 of the minimum baseline [km]. log10_l_max : float, optional Log10 of the maximum baseline [km]. log10_l_npts : int, optional Number of baseline values at which to compute the probabilities. plot_prob_ee : bool, optional True to plot Pee (if sector == '12') or Pmm (if sector == '23), False otherwise. plot_prob_em : bool, optional True to plot Pem (if sector == '12') or Pmt (if sector == '23), False otherwise. plot_prob_mm : bool, optional True to plot Pmm (if sector == '12') or Ptt (if sector == '23), False otherwise. output_filename : str, optional File name of plot to save (without the file extension). output_format : str, optional File extension of the plot to save (e.g., 'pdf', 'png', 'jpg'). output_path : str, optional File path where to save the plot. legend_loc : str, optional Location of the legend in the plot. Must be one of the allowed values of the plot routine of matplotlib. legend_ncol : int, optional Number of columns to include in the legend box. Must be at least 1. Returns ------- None The plot is generated and saved. """ if (not plot_prob_ee) and (not plot_prob_em) \ and (not plot_prob_me) and (not plot_prob_mm): quit() # Baselines, L log10_l_val = np.linspace(log10_l_min, log10_l_max, log10_l_npts) l_val =[10.**x for x in log10_l_val] if sector == '12': sth = S12_NO_BF Dm2 = D21_NO_BF label_ee = r'$P_{\nu_e \to \nu_e}$' label_em = r'$P_{\nu_e \to \nu_\mu}$' label_mm = r'$P_{\nu_\mu \to \nu_\mu}$' color_ee = 'C0' color_em = 'C1' color_mm = 'C4' elif sector == '23': sth = S23_NO_BF Dm2 = D31_NO_BF label_ee = r'$P_{\nu_\mu \to \nu_\mu}$' label_em = r'$P_{\nu_\mu \to \nu_\tau}$' label_mm = r'$P_{\nu_\tau \to \nu_\tau}$' color_ee = 'C4' color_em = 'C5' color_mm = 'C8' h_vacuum_energy_independent = \ hamiltonians2nu.hamiltonian_2nu_vacuum_energy_independent(sth, Dm2) if (case.lower() == 'vacuum'): hamiltonian = np.multiply(1./energy/1.e9, h_vacuum_energy_independent) label_case = r'Vacuum' elif (case.lower() == 'matter'): hamiltonian = hamiltonians2nu.hamiltonian_2nu_matter( \ h_vacuum_energy_independent, energy*1.e9, VCC_EARTH_CRUST) label_case = r'Matter' elif (case.lower() == 'nsi'): hamiltonian = hamiltonians2nu.hamiltonian_2nu_nsi( \ h_vacuum_energy_independent, energy*1.e9, VCC_EARTH_CRUST, EPS_2) label_case = r'NSI' elif (case.lower() == 'liv'): hamiltonian = hamiltonians2nu.hamiltonian_2nu_liv( \ h_vacuum_energy_independent, energy*1.e9, SXI12, B1, B3, LAMBDA) label_case = r'CPT-odd LIV' # Each element of prob: [Pee, Pem, Pmm] prob = [oscprob2nu.probabilities_2nu( hamiltonian, l*CONV_KM_TO_INV_EV) \ for l in l_val] prob_ee = [x[0] for x in prob] prob_em = [x[1] for x in prob] prob_mm = [x[3] for x in prob] # Formatting mpl.rcParams['xtick.labelsize']=26 mpl.rcParams['ytick.labelsize']=26 mpl.rcParams['legend.fontsize']=26 mpl.rcParams['legend.borderpad']=0.4 mpl.rcParams['axes.labelpad']=10 mpl.rcParams['ps.fonttype']=42 mpl.rcParams['pdf.fonttype']=42 fig = plt.figure(figsize=[9,9]) ax = fig.add_subplot(1,1,1) ax.set_xlabel(r'Baseline $L$ [km]', fontsize=25) ax.set_ylabel(r'Two-neutrino probability', fontsize=25) yaxis_minor_locator = mpl.ticker.MultipleLocator(0.1) ax.yaxis.set_minor_locator(yaxis_minor_locator) ax.tick_params('both', length=10, width=2, which='major') ax.tick_params('both', length=5, width=1, which='minor') ax.tick_params(axis='both', which='major', pad=10, direction='in') ax.tick_params(axis='both', which='minor', pad=10, direction='in') ax.tick_params(axis='x', which='minor', bottom=True) ax.tick_params(axis='x', which='minor', top=True) ax.tick_params(axis='y', which='minor', left=True) ax.tick_params(axis='y', which='minor', right=True) ax.tick_params(bottom=True, top=True, left=True, right=True) ax.set_xlim([10.**log10_l_min, 10.**log10_l_max]) ax.set_xscale('log') ax.set_ylim([0.0, 1.0]) # Plot if (plot_prob_ee): ax.plot(l_val, prob_ee, label=label_ee, color=color_ee, zorder=1) if (plot_prob_em): ax.plot(l_val, prob_em, label=label_em, color=color_em, zorder=1) if (plot_prob_mm): ax.plot(l_val, prob_mm, label=label_mm, color=color_mm, zorder=1) # Legend ax.legend(loc=legend_loc, frameon=False, ncol=legend_ncol) # Annotations ax.annotate( label_case, xy = (0.05, 0.86), \ xycoords='axes fraction', color='k', fontsize=25, horizontalalignment='left', rotation=0, zorder=2 ) ax.annotate( r'$\log_{10}(E/{\rm GeV}) = $' + \ str(int(log10(energy)*100.)/100.), xy = (0.05, 0.80), xycoords='axes fraction', color='k', fontsize=25, horizontalalignment='left', rotation=0, zorder=2 ) pylab.savefig(output_path+output_filename+'.'+output_format, bbox_inches='tight', dpi=100) plt.close() return def plot_probability_2nu_vs_energy( case, sector, baseline=1.3e3, log10_energy_min=-1.0, log10_energy_max=1.0, log10_energy_npts=200, plot_prob_ee=True, plot_prob_em=True, plot_prob_mm=False, output_filename='prob_vs_energy', output_format='pdf', output_path='../fig/', legend_loc='center right', legend_ncol=1): r"""Generates and saves a plot of 2nu probabilities vs. energy. Generates a plot of two-neutrino oscillation probabilities vs. energy, for a fixed neutrino baseline. The probabilities to be plotted are turned on and off via the flags plot_prob_ee, plot_prob_em, etc. (At least one of them must be True.) The parameter 'case' selects between 'vacuum', 'matter', 'nsi', and 'liv' (see below). The plot is saved with the provided name and file format under the specified path. Parameters ---------- case : str Not optional. Must be one of the following: 'vacuum', 'matter', 'nsi', or 'liv'. In each case, the probabilities are computed using the default parameter values pulled from globaldefs. sector : str Not optional. Must be one of the following: '12' (for nu_e <--> nu_mu oscillations) of '23' (for nu_mu <--> nu_tau oscillations). baseline : float, optional Neutrino baseline [km]. log10_energy_min : float, optional Log10 of the minimum energy [GeV]. log10_energy_max : float, optional Log10 of the maximum energy [GeV]. log10_energy_npts : int, optional Number of energy values at which to compute the probabilities. plot_prob_ee : bool, optional True to plot Pee (if sector == '12') or Pmm (if sector == '23), False otherwise. plot_prob_em : bool, optional True to plot Pem (if sector == '12') or Pmt (if sector == '23), False otherwise. plot_prob_mm : bool, optional True to plot Pmm (if sector == '12') or Ptt (if sector == '23), False otherwise. output_filename : str, optional File name of plot to save (without the file extension). output_format : str, optional File extension of the plot to save (e.g., 'pdf', 'png', 'jpg'). output_path : str, optional File path where to save the plot. legend_loc : str, optional Location of the legend in the plot. Must be one of the allowed values of the plot routine of matplotlib. legend_ncol : int, optional Number of columns to include in the legend box. Must be at least 1. Returns ------- None The plot is generated and saved. """ if (not plot_prob_ee) and (not plot_prob_em) \ and (not plot_prob_me) and (not plot_prob_mm): quit() baseline = baseline*CONV_KM_TO_INV_EV # [eV^{-1}] # Neutrino energies log10_energy_val = np.linspace( log10_energy_min, log10_energy_max, log10_energy_npts) energy_val =[10.**x for x in log10_energy_val] if sector == '12': sth = S12_NO_BF Dm2 = D21_NO_BF label_ee = r'$P_{\nu_e \to \nu_e}$' label_em = r'$P_{\nu_e \to \nu_\mu}$' label_mm = r'$P_{\nu_\mu \to \nu_\mu}$' color_ee = 'C0' color_em = 'C1' color_mm = 'C4' elif sector == '23': sth = S23_NO_BF Dm2 = D31_NO_BF label_ee = r'$P_{\nu_\mu \to \nu_\mu}$' label_em = r'$P_{\nu_\mu \to \nu_\tau}$' label_mm = r'$P_{\nu_\tau \to \nu_\tau}$' color_ee = 'C4' color_em = 'C5' color_mm = 'C8' h_vacuum_energy_independent = \ hamiltonians2nu.hamiltonian_2nu_vacuum_energy_independent(sth, Dm2) if (case.lower() == 'vacuum'): prob = [oscprob2nu.probabilities_2nu( \ np.multiply(1./energy/1.e9, h_vacuum_energy_independent), baseline) \ for energy in energy_val] label_case = r'Vacuum' elif (case.lower() == 'matter'): prob = [oscprob2nu.probabilities_2nu( \ hamiltonians2nu.hamiltonian_2nu_matter( \ h_vacuum_energy_independent, energy*1.e9, VCC_EARTH_CRUST), baseline) \ for energy in energy_val] label_case = r'Matter' elif (case.lower() == 'nsi'): prob = [oscprob2nu.probabilities_2nu( \ hamiltonians2nu.hamiltonian_2nu_nsi( \ h_vacuum_energy_independent, energy*1.e9, VCC_EARTH_CRUST, EPS_2), baseline) \ for energy in energy_val] label_case = r'NSI' elif (case.lower() == 'liv'): prob = [oscprob2nu.probabilities_2nu( \ hamiltonians2nu.hamiltonian_2nu_liv( \ h_vacuum_energy_independent, energy*1.e9, SXI12, B1, B3, LAMBDA), baseline) \ for energy in energy_val] label_case = r'CPT-odd LIV' # Each element of prob: [Pee, Pem, Pmm] prob_ee = [x[0] for x in prob] prob_em = [x[1] for x in prob] prob_mm = [x[3] for x in prob] # Formatting mpl.rcParams['xtick.labelsize']=26 mpl.rcParams['ytick.labelsize']=26 mpl.rcParams['legend.fontsize']=26 mpl.rcParams['legend.borderpad']=0.4 mpl.rcParams['axes.labelpad']=10 mpl.rcParams['ps.fonttype']=42 mpl.rcParams['pdf.fonttype']=42 fig = plt.figure(figsize=[9,9]) ax = fig.add_subplot(1,1,1) ax.set_xlabel(r'Neutrino energy $E$ [GeV]', fontsize=25) ax.set_ylabel(r'Two-neutrino probability', fontsize=25) yaxis_minor_locator = mpl.ticker.MultipleLocator(0.1) ax.yaxis.set_minor_locator(yaxis_minor_locator) ax.tick_params('both', length=10, width=2, which='major') ax.tick_params('both', length=5, width=1, which='minor') ax.tick_params(axis='both', which='major', pad=10, direction='in') ax.tick_params(axis='both', which='minor', pad=10, direction='in') ax.tick_params(axis='x', which='minor', bottom=True) ax.tick_params(axis='x', which='minor', top=True) ax.tick_params(axis='y', which='minor', left=True) ax.tick_params(axis='y', which='minor', right=True) ax.tick_params(bottom=True, top=True, left=True, right=True) ax.set_xlim([10.**log10_energy_min, 10.**log10_energy_max]) ax.set_xscale('log') ax.set_ylim([0.0, 1.0]) # Plot if (plot_prob_ee): ax.plot(energy_val, prob_ee, label=label_ee, color=color_ee, zorder=1) if (plot_prob_em): ax.plot(energy_val, prob_em, label=label_em, color=color_em, zorder=1) if (plot_prob_mm): ax.plot(energy_val, prob_mm, label=label_mm, color=color_mm, zorder=1) # Legend ax.legend(loc=legend_loc, frameon=False, ncol=legend_ncol) # Annotations ax.annotate( label_case, xy = (0.05, 0.86), \ xycoords='axes fraction', color='k', fontsize=25, horizontalalignment='left', rotation=0, zorder=2 ) ax.annotate( r'$\log_{10}(L/{\rm km}) = $' + \ str(int(log10(baseline/CONV_KM_TO_INV_EV)*100.)/100.), xy = (0.05, 0.80), xycoords='axes fraction', color='k', fontsize=25, horizontalalignment='left', rotation=0, zorder=2 ) pylab.savefig(output_path+output_filename+'.'+output_format, bbox_inches='tight', dpi=100) plt.close() return

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7255312d460f227a54f4e612bb979a5a49186ec4

531,508

py

Python

test/unit/test_catalog_management_v1.py

Bhaskers-Blu-Org1/platform-services-python-sdk

e634a6930f00ba884c75eb600675d1ad42f0fc59

[ "Apache-2.0" ]

null

test/unit/test_catalog_management_v1.py

Bhaskers-Blu-Org1/platform-services-python-sdk

e634a6930f00ba884c75eb600675d1ad42f0fc59

[ "Apache-2.0" ]

null

test/unit/test_catalog_management_v1.py

Bhaskers-Blu-Org1/platform-services-python-sdk

e634a6930f00ba884c75eb600675d1ad42f0fc59

[ "Apache-2.0" ]

1

2020-07-30T10:27:14.000Z

# -*- coding: utf-8 -*- # (C) Copyright IBM Corp. 2020. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from datetime import datetime, timezone from ibm_cloud_sdk_core.authenticators.no_auth_authenticator import NoAuthAuthenticator import inspect import json import pytest import re import requests import responses from ibm_platform_services.catalog_management_v1 import * service = CatalogManagementV1( authenticator=NoAuthAuthenticator() ) base_url = 'https://cm.globalcatalog.cloud.ibm.com/api/v1-beta' service.set_service_url(base_url) ############################################################################## # Start of Service: Account ############################################################################## # region #----------------------------------------------------------------------------- # Test Class for get_catalog_account #----------------------------------------------------------------------------- class TestGetCatalogAccount(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # get_catalog_account() #-------------------------------------------------------- @responses.activate def test_get_catalog_account_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/catalogaccount') mock_response = '{"id": "id", "account_filters": {"include_all": false, "category_filters": {"mapKey": {"include": false, "filter": {"filter_terms": ["filter_terms"]}}}, "id_filters": {"include": {"filter_terms": ["filter_terms"]}, "exclude": {"filter_terms": ["filter_terms"]}}}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Invoke method response = service.get_catalog_account() # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 #----------------------------------------------------------------------------- # Test Class for update_catalog_account #----------------------------------------------------------------------------- class TestUpdateCatalogAccount(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # update_catalog_account() #-------------------------------------------------------- @responses.activate def test_update_catalog_account_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/catalogaccount') responses.add(responses.PUT, url, status=200) # Construct a dict representation of a FilterTerms model filter_terms_model = {} filter_terms_model['filter_terms'] = ['testString'] # Construct a dict representation of a CategoryFilter model category_filter_model = {} category_filter_model['include'] = True category_filter_model['filter'] = filter_terms_model # Construct a dict representation of a IDFilter model id_filter_model = {} id_filter_model['include'] = filter_terms_model id_filter_model['exclude'] = filter_terms_model # Construct a dict representation of a Filters model filters_model = {} filters_model['include_all'] = True filters_model['category_filters'] = {} filters_model['id_filters'] = id_filter_model # Set up parameter values id = 'testString' account_filters = filters_model # Invoke method response = service.update_catalog_account( id=id, account_filters=account_filters, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['id'] == 'testString' assert req_body['account_filters'] == filters_model #-------------------------------------------------------- # test_update_catalog_account_required_params() #-------------------------------------------------------- @responses.activate def test_update_catalog_account_required_params(self): # Set up mock url = self.preprocess_url(base_url + '/catalogaccount') responses.add(responses.PUT, url, status=200) # Invoke method response = service.update_catalog_account() # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 #----------------------------------------------------------------------------- # Test Class for get_catalog_account_filters #----------------------------------------------------------------------------- class TestGetCatalogAccountFilters(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # get_catalog_account_filters() #-------------------------------------------------------- @responses.activate def test_get_catalog_account_filters_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/catalogaccount/filters') mock_response = '{"account_filters": [{"include_all": false, "category_filters": {"mapKey": {"include": false, "filter": {"filter_terms": ["filter_terms"]}}}, "id_filters": {"include": {"filter_terms": ["filter_terms"]}, "exclude": {"filter_terms": ["filter_terms"]}}}], "catalog_filters": [{"catalog": {"id": "id", "name": "name"}, "filters": {"include_all": false, "category_filters": {"mapKey": {"include": false, "filter": {"filter_terms": ["filter_terms"]}}}, "id_filters": {"include": {"filter_terms": ["filter_terms"]}, "exclude": {"filter_terms": ["filter_terms"]}}}}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values catalog = 'testString' # Invoke method response = service.get_catalog_account_filters( catalog=catalog, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = requests.utils.unquote(query_string) assert 'catalog={}'.format(catalog) in query_string #-------------------------------------------------------- # test_get_catalog_account_filters_required_params() #-------------------------------------------------------- @responses.activate def test_get_catalog_account_filters_required_params(self): # Set up mock url = self.preprocess_url(base_url + '/catalogaccount/filters') mock_response = '{"account_filters": [{"include_all": false, "category_filters": {"mapKey": {"include": false, "filter": {"filter_terms": ["filter_terms"]}}}, "id_filters": {"include": {"filter_terms": ["filter_terms"]}, "exclude": {"filter_terms": ["filter_terms"]}}}], "catalog_filters": [{"catalog": {"id": "id", "name": "name"}, "filters": {"include_all": false, "category_filters": {"mapKey": {"include": false, "filter": {"filter_terms": ["filter_terms"]}}}, "id_filters": {"include": {"filter_terms": ["filter_terms"]}, "exclude": {"filter_terms": ["filter_terms"]}}}}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Invoke method response = service.get_catalog_account_filters() # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # endregion ############################################################################## # End of Service: Account ############################################################################## ############################################################################## # Start of Service: Catalogs ############################################################################## # region #----------------------------------------------------------------------------- # Test Class for list_catalogs #----------------------------------------------------------------------------- class TestListCatalogs(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # list_catalogs() #-------------------------------------------------------- @responses.activate def test_list_catalogs_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/catalogs') mock_response = '{"offset": 6, "limit": 5, "total_count": 11, "resource_count": 14, "first": "first", "last": "last", "prev": "prev", "next": "next", "resources": [{"id": "id", "_rev": "rev", "label": "label", "short_description": "short_description", "catalog_icon_url": "catalog_icon_url", "tags": ["tags"], "url": "url", "crn": "crn", "offerings_url": "offerings_url", "features": [{"title": "title", "description": "description"}], "disabled": true, "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "resource_group_id": "resource_group_id", "owning_account": "owning_account", "catalog_filters": {"include_all": false, "category_filters": {"mapKey": {"include": false, "filter": {"filter_terms": ["filter_terms"]}}}, "id_filters": {"include": {"filter_terms": ["filter_terms"]}, "exclude": {"filter_terms": ["filter_terms"]}}}, "syndication_settings": {"remove_related_components": false, "clusters": [{"region": "region", "id": "id", "name": "name", "resource_group_name": "resource_group_name", "type": "type", "namespaces": ["namespaces"], "all_namespaces": true}], "history": {"namespaces": ["namespaces"], "clusters": [{"region": "region", "id": "id", "name": "name", "resource_group_name": "resource_group_name", "type": "type", "namespaces": ["namespaces"], "all_namespaces": true}], "last_run": "2019-01-01T12:00:00"}, "authorization": {"token": "token", "last_run": "2019-01-01T12:00:00"}}}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Invoke method response = service.list_catalogs() # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 #----------------------------------------------------------------------------- # Test Class for create_catalog #----------------------------------------------------------------------------- class TestCreateCatalog(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # create_catalog() #-------------------------------------------------------- @responses.activate def test_create_catalog_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/catalogs') mock_response = '{"id": "id", "_rev": "rev", "label": "label", "short_description": "short_description", "catalog_icon_url": "catalog_icon_url", "tags": ["tags"], "url": "url", "crn": "crn", "offerings_url": "offerings_url", "features": [{"title": "title", "description": "description"}], "disabled": true, "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "resource_group_id": "resource_group_id", "owning_account": "owning_account", "catalog_filters": {"include_all": false, "category_filters": {"mapKey": {"include": false, "filter": {"filter_terms": ["filter_terms"]}}}, "id_filters": {"include": {"filter_terms": ["filter_terms"]}, "exclude": {"filter_terms": ["filter_terms"]}}}, "syndication_settings": {"remove_related_components": false, "clusters": [{"region": "region", "id": "id", "name": "name", "resource_group_name": "resource_group_name", "type": "type", "namespaces": ["namespaces"], "all_namespaces": true}], "history": {"namespaces": ["namespaces"], "clusters": [{"region": "region", "id": "id", "name": "name", "resource_group_name": "resource_group_name", "type": "type", "namespaces": ["namespaces"], "all_namespaces": true}], "last_run": "2019-01-01T12:00:00"}, "authorization": {"token": "token", "last_run": "2019-01-01T12:00:00"}}}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=201) # Construct a dict representation of a Feature model feature_model = {} feature_model['title'] = 'testString' feature_model['description'] = 'testString' # Construct a dict representation of a FilterTerms model filter_terms_model = {} filter_terms_model['filter_terms'] = ['testString'] # Construct a dict representation of a CategoryFilter model category_filter_model = {} category_filter_model['include'] = True category_filter_model['filter'] = filter_terms_model # Construct a dict representation of a IDFilter model id_filter_model = {} id_filter_model['include'] = filter_terms_model id_filter_model['exclude'] = filter_terms_model # Construct a dict representation of a Filters model filters_model = {} filters_model['include_all'] = True filters_model['category_filters'] = {} filters_model['id_filters'] = id_filter_model # Construct a dict representation of a SyndicationCluster model syndication_cluster_model = {} syndication_cluster_model['region'] = 'testString' syndication_cluster_model['id'] = 'testString' syndication_cluster_model['name'] = 'testString' syndication_cluster_model['resource_group_name'] = 'testString' syndication_cluster_model['type'] = 'testString' syndication_cluster_model['namespaces'] = ['testString'] syndication_cluster_model['all_namespaces'] = True # Construct a dict representation of a SyndicationAuthorization model syndication_authorization_model = {} syndication_authorization_model['token'] = 'testString' syndication_authorization_model['last_run'] = '2020-01-28T18:40:40.123456Z' # Construct a dict representation of a SyndicationHistory model syndication_history_model = {} syndication_history_model['namespaces'] = ['testString'] syndication_history_model['clusters'] = [syndication_cluster_model] syndication_history_model['last_run'] = '2020-01-28T18:40:40.123456Z' # Construct a dict representation of a SyndicationResource model syndication_resource_model = {} syndication_resource_model['remove_related_components'] = True syndication_resource_model['clusters'] = [syndication_cluster_model] syndication_resource_model['history'] = syndication_history_model syndication_resource_model['authorization'] = syndication_authorization_model # Set up parameter values id = 'testString' rev = 'testString' label = 'testString' short_description = 'testString' catalog_icon_url = 'testString' tags = ['testString'] url = 'testString' crn = 'testString' offerings_url = 'testString' features = [feature_model] disabled = True created = datetime.fromtimestamp(1580236840.123456, timezone.utc) updated = datetime.fromtimestamp(1580236840.123456, timezone.utc) resource_group_id = 'testString' owning_account = 'testString' catalog_filters = filters_model syndication_settings = syndication_resource_model # Invoke method response = service.create_catalog( id=id, rev=rev, label=label, short_description=short_description, catalog_icon_url=catalog_icon_url, tags=tags, url=url, crn=crn, offerings_url=offerings_url, features=features, disabled=disabled, created=created, updated=updated, resource_group_id=resource_group_id, owning_account=owning_account, catalog_filters=catalog_filters, syndication_settings=syndication_settings, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 201 # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['id'] == 'testString' assert req_body['_rev'] == 'testString' assert req_body['label'] == 'testString' assert req_body['short_description'] == 'testString' assert req_body['catalog_icon_url'] == 'testString' assert req_body['tags'] == ['testString'] assert req_body['url'] == 'testString' assert req_body['crn'] == 'testString' assert req_body['offerings_url'] == 'testString' assert req_body['features'] == [feature_model] assert req_body['disabled'] == True assert req_body['created'] == '2020-01-28T18:40:40.123456Z' assert req_body['updated'] == '2020-01-28T18:40:40.123456Z' assert req_body['resource_group_id'] == 'testString' assert req_body['owning_account'] == 'testString' assert req_body['catalog_filters'] == filters_model assert req_body['syndication_settings'] == syndication_resource_model #-------------------------------------------------------- # test_create_catalog_required_params() #-------------------------------------------------------- @responses.activate def test_create_catalog_required_params(self): # Set up mock url = self.preprocess_url(base_url + '/catalogs') mock_response = '{"id": "id", "_rev": "rev", "label": "label", "short_description": "short_description", "catalog_icon_url": "catalog_icon_url", "tags": ["tags"], "url": "url", "crn": "crn", "offerings_url": "offerings_url", "features": [{"title": "title", "description": "description"}], "disabled": true, "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "resource_group_id": "resource_group_id", "owning_account": "owning_account", "catalog_filters": {"include_all": false, "category_filters": {"mapKey": {"include": false, "filter": {"filter_terms": ["filter_terms"]}}}, "id_filters": {"include": {"filter_terms": ["filter_terms"]}, "exclude": {"filter_terms": ["filter_terms"]}}}, "syndication_settings": {"remove_related_components": false, "clusters": [{"region": "region", "id": "id", "name": "name", "resource_group_name": "resource_group_name", "type": "type", "namespaces": ["namespaces"], "all_namespaces": true}], "history": {"namespaces": ["namespaces"], "clusters": [{"region": "region", "id": "id", "name": "name", "resource_group_name": "resource_group_name", "type": "type", "namespaces": ["namespaces"], "all_namespaces": true}], "last_run": "2019-01-01T12:00:00"}, "authorization": {"token": "token", "last_run": "2019-01-01T12:00:00"}}}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=201) # Invoke method response = service.create_catalog() # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 201 #----------------------------------------------------------------------------- # Test Class for get_catalog #----------------------------------------------------------------------------- class TestGetCatalog(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # get_catalog() #-------------------------------------------------------- @responses.activate def test_get_catalog_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/catalogs/testString') mock_response = '{"id": "id", "_rev": "rev", "label": "label", "short_description": "short_description", "catalog_icon_url": "catalog_icon_url", "tags": ["tags"], "url": "url", "crn": "crn", "offerings_url": "offerings_url", "features": [{"title": "title", "description": "description"}], "disabled": true, "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "resource_group_id": "resource_group_id", "owning_account": "owning_account", "catalog_filters": {"include_all": false, "category_filters": {"mapKey": {"include": false, "filter": {"filter_terms": ["filter_terms"]}}}, "id_filters": {"include": {"filter_terms": ["filter_terms"]}, "exclude": {"filter_terms": ["filter_terms"]}}}, "syndication_settings": {"remove_related_components": false, "clusters": [{"region": "region", "id": "id", "name": "name", "resource_group_name": "resource_group_name", "type": "type", "namespaces": ["namespaces"], "all_namespaces": true}], "history": {"namespaces": ["namespaces"], "clusters": [{"region": "region", "id": "id", "name": "name", "resource_group_name": "resource_group_name", "type": "type", "namespaces": ["namespaces"], "all_namespaces": true}], "last_run": "2019-01-01T12:00:00"}, "authorization": {"token": "token", "last_run": "2019-01-01T12:00:00"}}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values catalog_identifier = 'testString' # Invoke method response = service.get_catalog( catalog_identifier, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 #-------------------------------------------------------- # test_get_catalog_value_error() #-------------------------------------------------------- @responses.activate def test_get_catalog_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/catalogs/testString') mock_response = '{"id": "id", "_rev": "rev", "label": "label", "short_description": "short_description", "catalog_icon_url": "catalog_icon_url", "tags": ["tags"], "url": "url", "crn": "crn", "offerings_url": "offerings_url", "features": [{"title": "title", "description": "description"}], "disabled": true, "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "resource_group_id": "resource_group_id", "owning_account": "owning_account", "catalog_filters": {"include_all": false, "category_filters": {"mapKey": {"include": false, "filter": {"filter_terms": ["filter_terms"]}}}, "id_filters": {"include": {"filter_terms": ["filter_terms"]}, "exclude": {"filter_terms": ["filter_terms"]}}}, "syndication_settings": {"remove_related_components": false, "clusters": [{"region": "region", "id": "id", "name": "name", "resource_group_name": "resource_group_name", "type": "type", "namespaces": ["namespaces"], "all_namespaces": true}], "history": {"namespaces": ["namespaces"], "clusters": [{"region": "region", "id": "id", "name": "name", "resource_group_name": "resource_group_name", "type": "type", "namespaces": ["namespaces"], "all_namespaces": true}], "last_run": "2019-01-01T12:00:00"}, "authorization": {"token": "token", "last_run": "2019-01-01T12:00:00"}}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values catalog_identifier = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "catalog_identifier": catalog_identifier, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.get_catalog(**req_copy) #----------------------------------------------------------------------------- # Test Class for replace_catalog #----------------------------------------------------------------------------- class TestReplaceCatalog(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # replace_catalog() #-------------------------------------------------------- @responses.activate def test_replace_catalog_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/catalogs/testString') mock_response = '{"id": "id", "_rev": "rev", "label": "label", "short_description": "short_description", "catalog_icon_url": "catalog_icon_url", "tags": ["tags"], "url": "url", "crn": "crn", "offerings_url": "offerings_url", "features": [{"title": "title", "description": "description"}], "disabled": true, "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "resource_group_id": "resource_group_id", "owning_account": "owning_account", "catalog_filters": {"include_all": false, "category_filters": {"mapKey": {"include": false, "filter": {"filter_terms": ["filter_terms"]}}}, "id_filters": {"include": {"filter_terms": ["filter_terms"]}, "exclude": {"filter_terms": ["filter_terms"]}}}, "syndication_settings": {"remove_related_components": false, "clusters": [{"region": "region", "id": "id", "name": "name", "resource_group_name": "resource_group_name", "type": "type", "namespaces": ["namespaces"], "all_namespaces": true}], "history": {"namespaces": ["namespaces"], "clusters": [{"region": "region", "id": "id", "name": "name", "resource_group_name": "resource_group_name", "type": "type", "namespaces": ["namespaces"], "all_namespaces": true}], "last_run": "2019-01-01T12:00:00"}, "authorization": {"token": "token", "last_run": "2019-01-01T12:00:00"}}}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=200) # Construct a dict representation of a Feature model feature_model = {} feature_model['title'] = 'testString' feature_model['description'] = 'testString' # Construct a dict representation of a FilterTerms model filter_terms_model = {} filter_terms_model['filter_terms'] = ['testString'] # Construct a dict representation of a CategoryFilter model category_filter_model = {} category_filter_model['include'] = True category_filter_model['filter'] = filter_terms_model # Construct a dict representation of a IDFilter model id_filter_model = {} id_filter_model['include'] = filter_terms_model id_filter_model['exclude'] = filter_terms_model # Construct a dict representation of a Filters model filters_model = {} filters_model['include_all'] = True filters_model['category_filters'] = {} filters_model['id_filters'] = id_filter_model # Construct a dict representation of a SyndicationCluster model syndication_cluster_model = {} syndication_cluster_model['region'] = 'testString' syndication_cluster_model['id'] = 'testString' syndication_cluster_model['name'] = 'testString' syndication_cluster_model['resource_group_name'] = 'testString' syndication_cluster_model['type'] = 'testString' syndication_cluster_model['namespaces'] = ['testString'] syndication_cluster_model['all_namespaces'] = True # Construct a dict representation of a SyndicationAuthorization model syndication_authorization_model = {} syndication_authorization_model['token'] = 'testString' syndication_authorization_model['last_run'] = '2020-01-28T18:40:40.123456Z' # Construct a dict representation of a SyndicationHistory model syndication_history_model = {} syndication_history_model['namespaces'] = ['testString'] syndication_history_model['clusters'] = [syndication_cluster_model] syndication_history_model['last_run'] = '2020-01-28T18:40:40.123456Z' # Construct a dict representation of a SyndicationResource model syndication_resource_model = {} syndication_resource_model['remove_related_components'] = True syndication_resource_model['clusters'] = [syndication_cluster_model] syndication_resource_model['history'] = syndication_history_model syndication_resource_model['authorization'] = syndication_authorization_model # Set up parameter values catalog_identifier = 'testString' id = 'testString' rev = 'testString' label = 'testString' short_description = 'testString' catalog_icon_url = 'testString' tags = ['testString'] url = 'testString' crn = 'testString' offerings_url = 'testString' features = [feature_model] disabled = True created = datetime.fromtimestamp(1580236840.123456, timezone.utc) updated = datetime.fromtimestamp(1580236840.123456, timezone.utc) resource_group_id = 'testString' owning_account = 'testString' catalog_filters = filters_model syndication_settings = syndication_resource_model # Invoke method response = service.replace_catalog( catalog_identifier, id=id, rev=rev, label=label, short_description=short_description, catalog_icon_url=catalog_icon_url, tags=tags, url=url, crn=crn, offerings_url=offerings_url, features=features, disabled=disabled, created=created, updated=updated, resource_group_id=resource_group_id, owning_account=owning_account, catalog_filters=catalog_filters, syndication_settings=syndication_settings, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['id'] == 'testString' assert req_body['_rev'] == 'testString' assert req_body['label'] == 'testString' assert req_body['short_description'] == 'testString' assert req_body['catalog_icon_url'] == 'testString' assert req_body['tags'] == ['testString'] assert req_body['url'] == 'testString' assert req_body['crn'] == 'testString' assert req_body['offerings_url'] == 'testString' assert req_body['features'] == [feature_model] assert req_body['disabled'] == True assert req_body['created'] == '2020-01-28T18:40:40.123456Z' assert req_body['updated'] == '2020-01-28T18:40:40.123456Z' assert req_body['resource_group_id'] == 'testString' assert req_body['owning_account'] == 'testString' assert req_body['catalog_filters'] == filters_model assert req_body['syndication_settings'] == syndication_resource_model #-------------------------------------------------------- # test_replace_catalog_required_params() #-------------------------------------------------------- @responses.activate def test_replace_catalog_required_params(self): # Set up mock url = self.preprocess_url(base_url + '/catalogs/testString') mock_response = '{"id": "id", "_rev": "rev", "label": "label", "short_description": "short_description", "catalog_icon_url": "catalog_icon_url", "tags": ["tags"], "url": "url", "crn": "crn", "offerings_url": "offerings_url", "features": [{"title": "title", "description": "description"}], "disabled": true, "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "resource_group_id": "resource_group_id", "owning_account": "owning_account", "catalog_filters": {"include_all": false, "category_filters": {"mapKey": {"include": false, "filter": {"filter_terms": ["filter_terms"]}}}, "id_filters": {"include": {"filter_terms": ["filter_terms"]}, "exclude": {"filter_terms": ["filter_terms"]}}}, "syndication_settings": {"remove_related_components": false, "clusters": [{"region": "region", "id": "id", "name": "name", "resource_group_name": "resource_group_name", "type": "type", "namespaces": ["namespaces"], "all_namespaces": true}], "history": {"namespaces": ["namespaces"], "clusters": [{"region": "region", "id": "id", "name": "name", "resource_group_name": "resource_group_name", "type": "type", "namespaces": ["namespaces"], "all_namespaces": true}], "last_run": "2019-01-01T12:00:00"}, "authorization": {"token": "token", "last_run": "2019-01-01T12:00:00"}}}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values catalog_identifier = 'testString' # Invoke method response = service.replace_catalog( catalog_identifier, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 #-------------------------------------------------------- # test_replace_catalog_value_error() #-------------------------------------------------------- @responses.activate def test_replace_catalog_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/catalogs/testString') mock_response = '{"id": "id", "_rev": "rev", "label": "label", "short_description": "short_description", "catalog_icon_url": "catalog_icon_url", "tags": ["tags"], "url": "url", "crn": "crn", "offerings_url": "offerings_url", "features": [{"title": "title", "description": "description"}], "disabled": true, "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "resource_group_id": "resource_group_id", "owning_account": "owning_account", "catalog_filters": {"include_all": false, "category_filters": {"mapKey": {"include": false, "filter": {"filter_terms": ["filter_terms"]}}}, "id_filters": {"include": {"filter_terms": ["filter_terms"]}, "exclude": {"filter_terms": ["filter_terms"]}}}, "syndication_settings": {"remove_related_components": false, "clusters": [{"region": "region", "id": "id", "name": "name", "resource_group_name": "resource_group_name", "type": "type", "namespaces": ["namespaces"], "all_namespaces": true}], "history": {"namespaces": ["namespaces"], "clusters": [{"region": "region", "id": "id", "name": "name", "resource_group_name": "resource_group_name", "type": "type", "namespaces": ["namespaces"], "all_namespaces": true}], "last_run": "2019-01-01T12:00:00"}, "authorization": {"token": "token", "last_run": "2019-01-01T12:00:00"}}}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values catalog_identifier = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "catalog_identifier": catalog_identifier, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.replace_catalog(**req_copy) #----------------------------------------------------------------------------- # Test Class for delete_catalog #----------------------------------------------------------------------------- class TestDeleteCatalog(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # delete_catalog() #-------------------------------------------------------- @responses.activate def test_delete_catalog_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/catalogs/testString') responses.add(responses.DELETE, url, status=200) # Set up parameter values catalog_identifier = 'testString' # Invoke method response = service.delete_catalog( catalog_identifier, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 #-------------------------------------------------------- # test_delete_catalog_value_error() #-------------------------------------------------------- @responses.activate def test_delete_catalog_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/catalogs/testString') responses.add(responses.DELETE, url, status=200) # Set up parameter values catalog_identifier = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "catalog_identifier": catalog_identifier, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.delete_catalog(**req_copy) # endregion ############################################################################## # End of Service: Catalogs ############################################################################## ############################################################################## # Start of Service: Enterprise ############################################################################## # region #----------------------------------------------------------------------------- # Test Class for get_enterprise #----------------------------------------------------------------------------- class TestGetEnterprise(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # get_enterprise() #-------------------------------------------------------- @responses.activate def test_get_enterprise_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/enterprises/testString') mock_response = '{"id": "id", "_rev": "rev", "account_filters": {"include_all": false, "category_filters": {"mapKey": {"include": false, "filter": {"filter_terms": ["filter_terms"]}}}, "id_filters": {"include": {"filter_terms": ["filter_terms"]}, "exclude": {"filter_terms": ["filter_terms"]}}}, "account_groups": {"keys": {"id": "id", "account_filters": {"include_all": false, "category_filters": {"mapKey": {"include": false, "filter": {"filter_terms": ["filter_terms"]}}}, "id_filters": {"include": {"filter_terms": ["filter_terms"]}, "exclude": {"filter_terms": ["filter_terms"]}}}}}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values enterprise_id = 'testString' # Invoke method response = service.get_enterprise( enterprise_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 #-------------------------------------------------------- # test_get_enterprise_value_error() #-------------------------------------------------------- @responses.activate def test_get_enterprise_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/enterprises/testString') mock_response = '{"id": "id", "_rev": "rev", "account_filters": {"include_all": false, "category_filters": {"mapKey": {"include": false, "filter": {"filter_terms": ["filter_terms"]}}}, "id_filters": {"include": {"filter_terms": ["filter_terms"]}, "exclude": {"filter_terms": ["filter_terms"]}}}, "account_groups": {"keys": {"id": "id", "account_filters": {"include_all": false, "category_filters": {"mapKey": {"include": false, "filter": {"filter_terms": ["filter_terms"]}}}, "id_filters": {"include": {"filter_terms": ["filter_terms"]}, "exclude": {"filter_terms": ["filter_terms"]}}}}}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values enterprise_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "enterprise_id": enterprise_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.get_enterprise(**req_copy) #----------------------------------------------------------------------------- # Test Class for replace_enterprise #----------------------------------------------------------------------------- class TestReplaceEnterprise(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # replace_enterprise() #-------------------------------------------------------- @responses.activate def test_replace_enterprise_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/enterprises/testString') responses.add(responses.PUT, url, status=200) # Construct a dict representation of a FilterTerms model filter_terms_model = {} filter_terms_model['filter_terms'] = ['testString'] # Construct a dict representation of a CategoryFilter model category_filter_model = {} category_filter_model['include'] = True category_filter_model['filter'] = filter_terms_model # Construct a dict representation of a IDFilter model id_filter_model = {} id_filter_model['include'] = filter_terms_model id_filter_model['exclude'] = filter_terms_model # Construct a dict representation of a Filters model filters_model = {} filters_model['include_all'] = True filters_model['category_filters'] = {} filters_model['id_filters'] = id_filter_model # Construct a dict representation of a AccountGroup model account_group_model = {} account_group_model['id'] = 'testString' account_group_model['account_filters'] = filters_model # Construct a dict representation of a EnterpriseAccountGroups model enterprise_account_groups_model = {} enterprise_account_groups_model['keys'] = account_group_model # Set up parameter values enterprise_id = 'testString' id = 'testString' rev = 'testString' account_filters = filters_model account_groups = enterprise_account_groups_model # Invoke method response = service.replace_enterprise( enterprise_id, id=id, rev=rev, account_filters=account_filters, account_groups=account_groups, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['id'] == 'testString' assert req_body['_rev'] == 'testString' assert req_body['account_filters'] == filters_model assert req_body['account_groups'] == enterprise_account_groups_model #-------------------------------------------------------- # test_replace_enterprise_required_params() #-------------------------------------------------------- @responses.activate def test_replace_enterprise_required_params(self): # Set up mock url = self.preprocess_url(base_url + '/enterprises/testString') responses.add(responses.PUT, url, status=200) # Set up parameter values enterprise_id = 'testString' # Invoke method response = service.replace_enterprise( enterprise_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 #-------------------------------------------------------- # test_replace_enterprise_value_error() #-------------------------------------------------------- @responses.activate def test_replace_enterprise_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/enterprises/testString') responses.add(responses.PUT, url, status=200) # Set up parameter values enterprise_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "enterprise_id": enterprise_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.replace_enterprise(**req_copy) # endregion ############################################################################## # End of Service: Enterprise ############################################################################## ############################################################################## # Start of Service: Offerings ############################################################################## # region #----------------------------------------------------------------------------- # Test Class for get_consumption_offerings #----------------------------------------------------------------------------- class TestGetConsumptionOfferings(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # get_consumption_offerings() #-------------------------------------------------------- @responses.activate def test_get_consumption_offerings_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/offerings') mock_response = '{"offset": 6, "limit": 5, "total_count": 11, "resource_count": 14, "first": "first", "last": "last", "prev": "prev", "next": "next", "resources": [{"id": "id", "_rev": "rev", "url": "url", "crn": "crn", "label": "label", "name": "name", "offering_icon_url": "offering_icon_url", "offering_docs_url": "offering_docs_url", "offering_support_url": "offering_support_url", "tags": ["tags"], "rating": {"one_star_count": 14, "two_star_count": 14, "three_star_count": 16, "four_star_count": 15}, "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "short_description": "short_description", "long_description": "long_description", "features": [{"title": "title", "description": "description"}], "kinds": [{"id": "id", "format_kind": "format_kind", "target_kind": "target_kind", "metadata": {"anyKey": "anyValue"}, "install_description": "install_description", "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "versions": [{"id": "id", "_rev": "rev", "crn": "crn", "version": "version", "sha": "sha", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "offering_id": "offering_id", "catalog_id": "catalog_id", "kind_id": "kind_id", "tags": ["tags"], "repo_url": "repo_url", "source_url": "source_url", "tgz_url": "tgz_url", "configuration": [{"key": "key", "type": "type", "default_value": {"anyKey": "anyValue"}, "value_constraint": "value_constraint", "description": "description", "required": true, "options": [{"anyKey": "anyValue"}], "hidden": true}], "metadata": {"anyKey": "anyValue"}, "validation": {"validated": "2019-01-01T12:00:00", "requested": "2019-01-01T12:00:00", "state": "state", "last_operation": "last_operation", "target": {"anyKey": "anyValue"}}, "required_resources": [{"type": "mem", "value": {"anyKey": "anyValue"}}], "single_instance": false, "install": {"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}, "pre_install": [{"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}], "entitlement": {"provider_name": "provider_name", "provider_id": "provider_id", "product_id": "product_id", "part_numbers": ["part_numbers"], "image_repo_name": "image_repo_name"}, "licenses": [{"id": "id", "name": "name", "type": "type", "url": "url", "description": "description"}], "image_manifest_url": "image_manifest_url", "deprecated": true, "package_version": "package_version", "state": {"current": "current", "current_entered": "2019-01-01T12:00:00", "pending": "pending", "pending_requested": "2019-01-01T12:00:00", "previous": "previous"}, "version_locator": "version_locator", "console_url": "console_url", "long_description": "long_description", "whitelisted_accounts": ["whitelisted_accounts"]}], "plans": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "deployments": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00"}]}]}], "permit_request_ibm_public_publish": false, "ibm_publish_approved": true, "public_publish_approved": false, "public_original_crn": "public_original_crn", "publish_public_crn": "publish_public_crn", "portal_approval_record": "portal_approval_record", "portal_ui_url": "portal_ui_url", "catalog_id": "catalog_id", "catalog_name": "catalog_name", "metadata": {"anyKey": "anyValue"}, "disclaimer": "disclaimer", "hidden": true, "provider": "provider", "repo_info": {"token": "token", "type": "type"}}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values digest = True catalog = 'testString' select = 'all' include_hidden = True # Invoke method response = service.get_consumption_offerings( digest=digest, catalog=catalog, select=select, include_hidden=include_hidden, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = requests.utils.unquote(query_string) assert 'digest={}'.format('true' if digest else 'false') in query_string assert 'catalog={}'.format(catalog) in query_string assert 'select={}'.format(select) in query_string assert 'includeHidden={}'.format('true' if include_hidden else 'false') in query_string #-------------------------------------------------------- # test_get_consumption_offerings_required_params() #-------------------------------------------------------- @responses.activate def test_get_consumption_offerings_required_params(self): # Set up mock url = self.preprocess_url(base_url + '/offerings') mock_response = '{"offset": 6, "limit": 5, "total_count": 11, "resource_count": 14, "first": "first", "last": "last", "prev": "prev", "next": "next", "resources": [{"id": "id", "_rev": "rev", "url": "url", "crn": "crn", "label": "label", "name": "name", "offering_icon_url": "offering_icon_url", "offering_docs_url": "offering_docs_url", "offering_support_url": "offering_support_url", "tags": ["tags"], "rating": {"one_star_count": 14, "two_star_count": 14, "three_star_count": 16, "four_star_count": 15}, "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "short_description": "short_description", "long_description": "long_description", "features": [{"title": "title", "description": "description"}], "kinds": [{"id": "id", "format_kind": "format_kind", "target_kind": "target_kind", "metadata": {"anyKey": "anyValue"}, "install_description": "install_description", "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "versions": [{"id": "id", "_rev": "rev", "crn": "crn", "version": "version", "sha": "sha", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "offering_id": "offering_id", "catalog_id": "catalog_id", "kind_id": "kind_id", "tags": ["tags"], "repo_url": "repo_url", "source_url": "source_url", "tgz_url": "tgz_url", "configuration": [{"key": "key", "type": "type", "default_value": {"anyKey": "anyValue"}, "value_constraint": "value_constraint", "description": "description", "required": true, "options": [{"anyKey": "anyValue"}], "hidden": true}], "metadata": {"anyKey": "anyValue"}, "validation": {"validated": "2019-01-01T12:00:00", "requested": "2019-01-01T12:00:00", "state": "state", "last_operation": "last_operation", "target": {"anyKey": "anyValue"}}, "required_resources": [{"type": "mem", "value": {"anyKey": "anyValue"}}], "single_instance": false, "install": {"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}, "pre_install": [{"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}], "entitlement": {"provider_name": "provider_name", "provider_id": "provider_id", "product_id": "product_id", "part_numbers": ["part_numbers"], "image_repo_name": "image_repo_name"}, "licenses": [{"id": "id", "name": "name", "type": "type", "url": "url", "description": "description"}], "image_manifest_url": "image_manifest_url", "deprecated": true, "package_version": "package_version", "state": {"current": "current", "current_entered": "2019-01-01T12:00:00", "pending": "pending", "pending_requested": "2019-01-01T12:00:00", "previous": "previous"}, "version_locator": "version_locator", "console_url": "console_url", "long_description": "long_description", "whitelisted_accounts": ["whitelisted_accounts"]}], "plans": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "deployments": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00"}]}]}], "permit_request_ibm_public_publish": false, "ibm_publish_approved": true, "public_publish_approved": false, "public_original_crn": "public_original_crn", "publish_public_crn": "publish_public_crn", "portal_approval_record": "portal_approval_record", "portal_ui_url": "portal_ui_url", "catalog_id": "catalog_id", "catalog_name": "catalog_name", "metadata": {"anyKey": "anyValue"}, "disclaimer": "disclaimer", "hidden": true, "provider": "provider", "repo_info": {"token": "token", "type": "type"}}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Invoke method response = service.get_consumption_offerings() # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 #----------------------------------------------------------------------------- # Test Class for list_offerings #----------------------------------------------------------------------------- class TestListOfferings(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # list_offerings() #-------------------------------------------------------- @responses.activate def test_list_offerings_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/catalogs/testString/offerings') mock_response = '{"offset": 6, "limit": 5, "total_count": 11, "resource_count": 14, "first": "first", "last": "last", "prev": "prev", "next": "next", "resources": [{"id": "id", "_rev": "rev", "url": "url", "crn": "crn", "label": "label", "name": "name", "offering_icon_url": "offering_icon_url", "offering_docs_url": "offering_docs_url", "offering_support_url": "offering_support_url", "tags": ["tags"], "rating": {"one_star_count": 14, "two_star_count": 14, "three_star_count": 16, "four_star_count": 15}, "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "short_description": "short_description", "long_description": "long_description", "features": [{"title": "title", "description": "description"}], "kinds": [{"id": "id", "format_kind": "format_kind", "target_kind": "target_kind", "metadata": {"anyKey": "anyValue"}, "install_description": "install_description", "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "versions": [{"id": "id", "_rev": "rev", "crn": "crn", "version": "version", "sha": "sha", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "offering_id": "offering_id", "catalog_id": "catalog_id", "kind_id": "kind_id", "tags": ["tags"], "repo_url": "repo_url", "source_url": "source_url", "tgz_url": "tgz_url", "configuration": [{"key": "key", "type": "type", "default_value": {"anyKey": "anyValue"}, "value_constraint": "value_constraint", "description": "description", "required": true, "options": [{"anyKey": "anyValue"}], "hidden": true}], "metadata": {"anyKey": "anyValue"}, "validation": {"validated": "2019-01-01T12:00:00", "requested": "2019-01-01T12:00:00", "state": "state", "last_operation": "last_operation", "target": {"anyKey": "anyValue"}}, "required_resources": [{"type": "mem", "value": {"anyKey": "anyValue"}}], "single_instance": false, "install": {"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}, "pre_install": [{"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}], "entitlement": {"provider_name": "provider_name", "provider_id": "provider_id", "product_id": "product_id", "part_numbers": ["part_numbers"], "image_repo_name": "image_repo_name"}, "licenses": [{"id": "id", "name": "name", "type": "type", "url": "url", "description": "description"}], "image_manifest_url": "image_manifest_url", "deprecated": true, "package_version": "package_version", "state": {"current": "current", "current_entered": "2019-01-01T12:00:00", "pending": "pending", "pending_requested": "2019-01-01T12:00:00", "previous": "previous"}, "version_locator": "version_locator", "console_url": "console_url", "long_description": "long_description", "whitelisted_accounts": ["whitelisted_accounts"]}], "plans": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "deployments": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00"}]}]}], "permit_request_ibm_public_publish": false, "ibm_publish_approved": true, "public_publish_approved": false, "public_original_crn": "public_original_crn", "publish_public_crn": "publish_public_crn", "portal_approval_record": "portal_approval_record", "portal_ui_url": "portal_ui_url", "catalog_id": "catalog_id", "catalog_name": "catalog_name", "metadata": {"anyKey": "anyValue"}, "disclaimer": "disclaimer", "hidden": true, "provider": "provider", "repo_info": {"token": "token", "type": "type"}}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values catalog_identifier = 'testString' digest = True # Invoke method response = service.list_offerings( catalog_identifier, digest=digest, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = requests.utils.unquote(query_string) assert 'digest={}'.format('true' if digest else 'false') in query_string #-------------------------------------------------------- # test_list_offerings_required_params() #-------------------------------------------------------- @responses.activate def test_list_offerings_required_params(self): # Set up mock url = self.preprocess_url(base_url + '/catalogs/testString/offerings') mock_response = '{"offset": 6, "limit": 5, "total_count": 11, "resource_count": 14, "first": "first", "last": "last", "prev": "prev", "next": "next", "resources": [{"id": "id", "_rev": "rev", "url": "url", "crn": "crn", "label": "label", "name": "name", "offering_icon_url": "offering_icon_url", "offering_docs_url": "offering_docs_url", "offering_support_url": "offering_support_url", "tags": ["tags"], "rating": {"one_star_count": 14, "two_star_count": 14, "three_star_count": 16, "four_star_count": 15}, "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "short_description": "short_description", "long_description": "long_description", "features": [{"title": "title", "description": "description"}], "kinds": [{"id": "id", "format_kind": "format_kind", "target_kind": "target_kind", "metadata": {"anyKey": "anyValue"}, "install_description": "install_description", "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "versions": [{"id": "id", "_rev": "rev", "crn": "crn", "version": "version", "sha": "sha", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "offering_id": "offering_id", "catalog_id": "catalog_id", "kind_id": "kind_id", "tags": ["tags"], "repo_url": "repo_url", "source_url": "source_url", "tgz_url": "tgz_url", "configuration": [{"key": "key", "type": "type", "default_value": {"anyKey": "anyValue"}, "value_constraint": "value_constraint", "description": "description", "required": true, "options": [{"anyKey": "anyValue"}], "hidden": true}], "metadata": {"anyKey": "anyValue"}, "validation": {"validated": "2019-01-01T12:00:00", "requested": "2019-01-01T12:00:00", "state": "state", "last_operation": "last_operation", "target": {"anyKey": "anyValue"}}, "required_resources": [{"type": "mem", "value": {"anyKey": "anyValue"}}], "single_instance": false, "install": {"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}, "pre_install": [{"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}], "entitlement": {"provider_name": "provider_name", "provider_id": "provider_id", "product_id": "product_id", "part_numbers": ["part_numbers"], "image_repo_name": "image_repo_name"}, "licenses": [{"id": "id", "name": "name", "type": "type", "url": "url", "description": "description"}], "image_manifest_url": "image_manifest_url", "deprecated": true, "package_version": "package_version", "state": {"current": "current", "current_entered": "2019-01-01T12:00:00", "pending": "pending", "pending_requested": "2019-01-01T12:00:00", "previous": "previous"}, "version_locator": "version_locator", "console_url": "console_url", "long_description": "long_description", "whitelisted_accounts": ["whitelisted_accounts"]}], "plans": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "deployments": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00"}]}]}], "permit_request_ibm_public_publish": false, "ibm_publish_approved": true, "public_publish_approved": false, "public_original_crn": "public_original_crn", "publish_public_crn": "publish_public_crn", "portal_approval_record": "portal_approval_record", "portal_ui_url": "portal_ui_url", "catalog_id": "catalog_id", "catalog_name": "catalog_name", "metadata": {"anyKey": "anyValue"}, "disclaimer": "disclaimer", "hidden": true, "provider": "provider", "repo_info": {"token": "token", "type": "type"}}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values catalog_identifier = 'testString' # Invoke method response = service.list_offerings( catalog_identifier, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 #-------------------------------------------------------- # test_list_offerings_value_error() #-------------------------------------------------------- @responses.activate def test_list_offerings_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/catalogs/testString/offerings') mock_response = '{"offset": 6, "limit": 5, "total_count": 11, "resource_count": 14, "first": "first", "last": "last", "prev": "prev", "next": "next", "resources": [{"id": "id", "_rev": "rev", "url": "url", "crn": "crn", "label": "label", "name": "name", "offering_icon_url": "offering_icon_url", "offering_docs_url": "offering_docs_url", "offering_support_url": "offering_support_url", "tags": ["tags"], "rating": {"one_star_count": 14, "two_star_count": 14, "three_star_count": 16, "four_star_count": 15}, "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "short_description": "short_description", "long_description": "long_description", "features": [{"title": "title", "description": "description"}], "kinds": [{"id": "id", "format_kind": "format_kind", "target_kind": "target_kind", "metadata": {"anyKey": "anyValue"}, "install_description": "install_description", "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "versions": [{"id": "id", "_rev": "rev", "crn": "crn", "version": "version", "sha": "sha", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "offering_id": "offering_id", "catalog_id": "catalog_id", "kind_id": "kind_id", "tags": ["tags"], "repo_url": "repo_url", "source_url": "source_url", "tgz_url": "tgz_url", "configuration": [{"key": "key", "type": "type", "default_value": {"anyKey": "anyValue"}, "value_constraint": "value_constraint", "description": "description", "required": true, "options": [{"anyKey": "anyValue"}], "hidden": true}], "metadata": {"anyKey": "anyValue"}, "validation": {"validated": "2019-01-01T12:00:00", "requested": "2019-01-01T12:00:00", "state": "state", "last_operation": "last_operation", "target": {"anyKey": "anyValue"}}, "required_resources": [{"type": "mem", "value": {"anyKey": "anyValue"}}], "single_instance": false, "install": {"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}, "pre_install": [{"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}], "entitlement": {"provider_name": "provider_name", "provider_id": "provider_id", "product_id": "product_id", "part_numbers": ["part_numbers"], "image_repo_name": "image_repo_name"}, "licenses": [{"id": "id", "name": "name", "type": "type", "url": "url", "description": "description"}], "image_manifest_url": "image_manifest_url", "deprecated": true, "package_version": "package_version", "state": {"current": "current", "current_entered": "2019-01-01T12:00:00", "pending": "pending", "pending_requested": "2019-01-01T12:00:00", "previous": "previous"}, "version_locator": "version_locator", "console_url": "console_url", "long_description": "long_description", "whitelisted_accounts": ["whitelisted_accounts"]}], "plans": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "deployments": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00"}]}]}], "permit_request_ibm_public_publish": false, "ibm_publish_approved": true, "public_publish_approved": false, "public_original_crn": "public_original_crn", "publish_public_crn": "publish_public_crn", "portal_approval_record": "portal_approval_record", "portal_ui_url": "portal_ui_url", "catalog_id": "catalog_id", "catalog_name": "catalog_name", "metadata": {"anyKey": "anyValue"}, "disclaimer": "disclaimer", "hidden": true, "provider": "provider", "repo_info": {"token": "token", "type": "type"}}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values catalog_identifier = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "catalog_identifier": catalog_identifier, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.list_offerings(**req_copy) #----------------------------------------------------------------------------- # Test Class for create_offering #----------------------------------------------------------------------------- class TestCreateOffering(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # create_offering() #-------------------------------------------------------- @responses.activate def test_create_offering_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/catalogs/testString/offerings') mock_response = '{"id": "id", "_rev": "rev", "url": "url", "crn": "crn", "label": "label", "name": "name", "offering_icon_url": "offering_icon_url", "offering_docs_url": "offering_docs_url", "offering_support_url": "offering_support_url", "tags": ["tags"], "rating": {"one_star_count": 14, "two_star_count": 14, "three_star_count": 16, "four_star_count": 15}, "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "short_description": "short_description", "long_description": "long_description", "features": [{"title": "title", "description": "description"}], "kinds": [{"id": "id", "format_kind": "format_kind", "target_kind": "target_kind", "metadata": {"anyKey": "anyValue"}, "install_description": "install_description", "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "versions": [{"id": "id", "_rev": "rev", "crn": "crn", "version": "version", "sha": "sha", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "offering_id": "offering_id", "catalog_id": "catalog_id", "kind_id": "kind_id", "tags": ["tags"], "repo_url": "repo_url", "source_url": "source_url", "tgz_url": "tgz_url", "configuration": [{"key": "key", "type": "type", "default_value": {"anyKey": "anyValue"}, "value_constraint": "value_constraint", "description": "description", "required": true, "options": [{"anyKey": "anyValue"}], "hidden": true}], "metadata": {"anyKey": "anyValue"}, "validation": {"validated": "2019-01-01T12:00:00", "requested": "2019-01-01T12:00:00", "state": "state", "last_operation": "last_operation", "target": {"anyKey": "anyValue"}}, "required_resources": [{"type": "mem", "value": {"anyKey": "anyValue"}}], "single_instance": false, "install": {"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}, "pre_install": [{"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}], "entitlement": {"provider_name": "provider_name", "provider_id": "provider_id", "product_id": "product_id", "part_numbers": ["part_numbers"], "image_repo_name": "image_repo_name"}, "licenses": [{"id": "id", "name": "name", "type": "type", "url": "url", "description": "description"}], "image_manifest_url": "image_manifest_url", "deprecated": true, "package_version": "package_version", "state": {"current": "current", "current_entered": "2019-01-01T12:00:00", "pending": "pending", "pending_requested": "2019-01-01T12:00:00", "previous": "previous"}, "version_locator": "version_locator", "console_url": "console_url", "long_description": "long_description", "whitelisted_accounts": ["whitelisted_accounts"]}], "plans": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "deployments": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00"}]}]}], "permit_request_ibm_public_publish": false, "ibm_publish_approved": true, "public_publish_approved": false, "public_original_crn": "public_original_crn", "publish_public_crn": "publish_public_crn", "portal_approval_record": "portal_approval_record", "portal_ui_url": "portal_ui_url", "catalog_id": "catalog_id", "catalog_name": "catalog_name", "metadata": {"anyKey": "anyValue"}, "disclaimer": "disclaimer", "hidden": true, "provider": "provider", "repo_info": {"token": "token", "type": "type"}}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=201) # Construct a dict representation of a Rating model rating_model = {} rating_model['one_star_count'] = 38 rating_model['two_star_count'] = 38 rating_model['three_star_count'] = 38 rating_model['four_star_count'] = 38 # Construct a dict representation of a Feature model feature_model = {} feature_model['title'] = 'testString' feature_model['description'] = 'testString' # Construct a dict representation of a Configuration model configuration_model = {} configuration_model['key'] = 'testString' configuration_model['type'] = 'testString' configuration_model['default_value'] = { 'foo': 'bar' } configuration_model['value_constraint'] = 'testString' configuration_model['description'] = 'testString' configuration_model['required'] = True configuration_model['options'] = [{ 'foo': 'bar' }] configuration_model['hidden'] = True # Construct a dict representation of a Deployment model deployment_model = {} deployment_model['id'] = 'testString' deployment_model['label'] = 'testString' deployment_model['name'] = 'testString' deployment_model['short_description'] = 'testString' deployment_model['long_description'] = 'testString' deployment_model['metadata'] = { 'foo': 'bar' } deployment_model['tags'] = ['testString'] deployment_model['created'] = '2020-01-28T18:40:40.123456Z' deployment_model['updated'] = '2020-01-28T18:40:40.123456Z' # Construct a dict representation of a License model license_model = {} license_model['id'] = 'testString' license_model['name'] = 'testString' license_model['type'] = 'testString' license_model['url'] = 'testString' license_model['description'] = 'testString' # Construct a dict representation of a Resource model resource_model = {} resource_model['type'] = 'mem' resource_model['value'] = { 'foo': 'bar' } # Construct a dict representation of a Script model script_model = {} script_model['instructions'] = 'testString' script_model['script'] = 'testString' script_model['script_permission'] = 'testString' script_model['delete_script'] = 'testString' script_model['scope'] = 'testString' # Construct a dict representation of a State model state_model = {} state_model['current'] = 'testString' state_model['current_entered'] = '2020-01-28T18:40:40.123456Z' state_model['pending'] = 'testString' state_model['pending_requested'] = '2020-01-28T18:40:40.123456Z' state_model['previous'] = 'testString' # Construct a dict representation of a Validation model validation_model = {} validation_model['validated'] = '2020-01-28T18:40:40.123456Z' validation_model['requested'] = '2020-01-28T18:40:40.123456Z' validation_model['state'] = 'testString' validation_model['last_operation'] = 'testString' validation_model['target'] = { 'foo': 'bar' } # Construct a dict representation of a VersionEntitlement model version_entitlement_model = {} version_entitlement_model['provider_name'] = 'testString' version_entitlement_model['provider_id'] = 'testString' version_entitlement_model['product_id'] = 'testString' version_entitlement_model['part_numbers'] = ['testString'] version_entitlement_model['image_repo_name'] = 'testString' # Construct a dict representation of a Plan model plan_model = {} plan_model['id'] = 'testString' plan_model['label'] = 'testString' plan_model['name'] = 'testString' plan_model['short_description'] = 'testString' plan_model['long_description'] = 'testString' plan_model['metadata'] = { 'foo': 'bar' } plan_model['tags'] = ['testString'] plan_model['additional_features'] = [feature_model] plan_model['created'] = '2020-01-28T18:40:40.123456Z' plan_model['updated'] = '2020-01-28T18:40:40.123456Z' plan_model['deployments'] = [deployment_model] # Construct a dict representation of a Version model version_model = {} version_model['id'] = 'testString' version_model['_rev'] = 'testString' version_model['crn'] = 'testString' version_model['version'] = 'testString' version_model['sha'] = 'testString' version_model['created'] = '2020-01-28T18:40:40.123456Z' version_model['updated'] = '2020-01-28T18:40:40.123456Z' version_model['offering_id'] = 'testString' version_model['catalog_id'] = 'testString' version_model['kind_id'] = 'testString' version_model['tags'] = ['testString'] version_model['repo_url'] = 'testString' version_model['source_url'] = 'testString' version_model['tgz_url'] = 'testString' version_model['configuration'] = [configuration_model] version_model['metadata'] = { 'foo': 'bar' } version_model['validation'] = validation_model version_model['required_resources'] = [resource_model] version_model['single_instance'] = True version_model['install'] = script_model version_model['pre_install'] = [script_model] version_model['entitlement'] = version_entitlement_model version_model['licenses'] = [license_model] version_model['image_manifest_url'] = 'testString' version_model['deprecated'] = True version_model['package_version'] = 'testString' version_model['state'] = state_model version_model['version_locator'] = 'testString' version_model['console_url'] = 'testString' version_model['long_description'] = 'testString' version_model['whitelisted_accounts'] = ['testString'] # Construct a dict representation of a Kind model kind_model = {} kind_model['id'] = 'testString' kind_model['format_kind'] = 'testString' kind_model['target_kind'] = 'testString' kind_model['metadata'] = { 'foo': 'bar' } kind_model['install_description'] = 'testString' kind_model['tags'] = ['testString'] kind_model['additional_features'] = [feature_model] kind_model['created'] = '2020-01-28T18:40:40.123456Z' kind_model['updated'] = '2020-01-28T18:40:40.123456Z' kind_model['versions'] = [version_model] kind_model['plans'] = [plan_model] # Construct a dict representation of a RepoInfo model repo_info_model = {} repo_info_model['token'] = 'testString' repo_info_model['type'] = 'testString' # Set up parameter values catalog_identifier = 'testString' id = 'testString' rev = 'testString' url = 'testString' crn = 'testString' label = 'testString' name = 'testString' offering_icon_url = 'testString' offering_docs_url = 'testString' offering_support_url = 'testString' tags = ['testString'] rating = rating_model created = datetime.fromtimestamp(1580236840.123456, timezone.utc) updated = datetime.fromtimestamp(1580236840.123456, timezone.utc) short_description = 'testString' long_description = 'testString' features = [feature_model] kinds = [kind_model] permit_request_ibm_public_publish = True ibm_publish_approved = True public_publish_approved = True public_original_crn = 'testString' publish_public_crn = 'testString' portal_approval_record = 'testString' portal_ui_url = 'testString' catalog_id = 'testString' catalog_name = 'testString' metadata = { 'foo': 'bar' } disclaimer = 'testString' hidden = True provider = 'testString' repo_info = repo_info_model # Invoke method response = service.create_offering( catalog_identifier, id=id, rev=rev, url=url, crn=crn, label=label, name=name, offering_icon_url=offering_icon_url, offering_docs_url=offering_docs_url, offering_support_url=offering_support_url, tags=tags, rating=rating, created=created, updated=updated, short_description=short_description, long_description=long_description, features=features, kinds=kinds, permit_request_ibm_public_publish=permit_request_ibm_public_publish, ibm_publish_approved=ibm_publish_approved, public_publish_approved=public_publish_approved, public_original_crn=public_original_crn, publish_public_crn=publish_public_crn, portal_approval_record=portal_approval_record, portal_ui_url=portal_ui_url, catalog_id=catalog_id, catalog_name=catalog_name, metadata=metadata, disclaimer=disclaimer, hidden=hidden, provider=provider, repo_info=repo_info, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 201 # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['id'] == 'testString' assert req_body['_rev'] == 'testString' assert req_body['url'] == 'testString' assert req_body['crn'] == 'testString' assert req_body['label'] == 'testString' assert req_body['name'] == 'testString' assert req_body['offering_icon_url'] == 'testString' assert req_body['offering_docs_url'] == 'testString' assert req_body['offering_support_url'] == 'testString' assert req_body['tags'] == ['testString'] assert req_body['rating'] == rating_model assert req_body['created'] == '2020-01-28T18:40:40.123456Z' assert req_body['updated'] == '2020-01-28T18:40:40.123456Z' assert req_body['short_description'] == 'testString' assert req_body['long_description'] == 'testString' assert req_body['features'] == [feature_model] assert req_body['kinds'] == [kind_model] assert req_body['permit_request_ibm_public_publish'] == True assert req_body['ibm_publish_approved'] == True assert req_body['public_publish_approved'] == True assert req_body['public_original_crn'] == 'testString' assert req_body['publish_public_crn'] == 'testString' assert req_body['portal_approval_record'] == 'testString' assert req_body['portal_ui_url'] == 'testString' assert req_body['catalog_id'] == 'testString' assert req_body['catalog_name'] == 'testString' assert req_body['metadata'] == { 'foo': 'bar' } assert req_body['disclaimer'] == 'testString' assert req_body['hidden'] == True assert req_body['provider'] == 'testString' assert req_body['repo_info'] == repo_info_model #-------------------------------------------------------- # test_create_offering_required_params() #-------------------------------------------------------- @responses.activate def test_create_offering_required_params(self): # Set up mock url = self.preprocess_url(base_url + '/catalogs/testString/offerings') mock_response = '{"id": "id", "_rev": "rev", "url": "url", "crn": "crn", "label": "label", "name": "name", "offering_icon_url": "offering_icon_url", "offering_docs_url": "offering_docs_url", "offering_support_url": "offering_support_url", "tags": ["tags"], "rating": {"one_star_count": 14, "two_star_count": 14, "three_star_count": 16, "four_star_count": 15}, "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "short_description": "short_description", "long_description": "long_description", "features": [{"title": "title", "description": "description"}], "kinds": [{"id": "id", "format_kind": "format_kind", "target_kind": "target_kind", "metadata": {"anyKey": "anyValue"}, "install_description": "install_description", "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "versions": [{"id": "id", "_rev": "rev", "crn": "crn", "version": "version", "sha": "sha", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "offering_id": "offering_id", "catalog_id": "catalog_id", "kind_id": "kind_id", "tags": ["tags"], "repo_url": "repo_url", "source_url": "source_url", "tgz_url": "tgz_url", "configuration": [{"key": "key", "type": "type", "default_value": {"anyKey": "anyValue"}, "value_constraint": "value_constraint", "description": "description", "required": true, "options": [{"anyKey": "anyValue"}], "hidden": true}], "metadata": {"anyKey": "anyValue"}, "validation": {"validated": "2019-01-01T12:00:00", "requested": "2019-01-01T12:00:00", "state": "state", "last_operation": "last_operation", "target": {"anyKey": "anyValue"}}, "required_resources": [{"type": "mem", "value": {"anyKey": "anyValue"}}], "single_instance": false, "install": {"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}, "pre_install": [{"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}], "entitlement": {"provider_name": "provider_name", "provider_id": "provider_id", "product_id": "product_id", "part_numbers": ["part_numbers"], "image_repo_name": "image_repo_name"}, "licenses": [{"id": "id", "name": "name", "type": "type", "url": "url", "description": "description"}], "image_manifest_url": "image_manifest_url", "deprecated": true, "package_version": "package_version", "state": {"current": "current", "current_entered": "2019-01-01T12:00:00", "pending": "pending", "pending_requested": "2019-01-01T12:00:00", "previous": "previous"}, "version_locator": "version_locator", "console_url": "console_url", "long_description": "long_description", "whitelisted_accounts": ["whitelisted_accounts"]}], "plans": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "deployments": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00"}]}]}], "permit_request_ibm_public_publish": false, "ibm_publish_approved": true, "public_publish_approved": false, "public_original_crn": "public_original_crn", "publish_public_crn": "publish_public_crn", "portal_approval_record": "portal_approval_record", "portal_ui_url": "portal_ui_url", "catalog_id": "catalog_id", "catalog_name": "catalog_name", "metadata": {"anyKey": "anyValue"}, "disclaimer": "disclaimer", "hidden": true, "provider": "provider", "repo_info": {"token": "token", "type": "type"}}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=201) # Set up parameter values catalog_identifier = 'testString' # Invoke method response = service.create_offering( catalog_identifier, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 201 #-------------------------------------------------------- # test_create_offering_value_error() #-------------------------------------------------------- @responses.activate def test_create_offering_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/catalogs/testString/offerings') mock_response = '{"id": "id", "_rev": "rev", "url": "url", "crn": "crn", "label": "label", "name": "name", "offering_icon_url": "offering_icon_url", "offering_docs_url": "offering_docs_url", "offering_support_url": "offering_support_url", "tags": ["tags"], "rating": {"one_star_count": 14, "two_star_count": 14, "three_star_count": 16, "four_star_count": 15}, "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "short_description": "short_description", "long_description": "long_description", "features": [{"title": "title", "description": "description"}], "kinds": [{"id": "id", "format_kind": "format_kind", "target_kind": "target_kind", "metadata": {"anyKey": "anyValue"}, "install_description": "install_description", "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "versions": [{"id": "id", "_rev": "rev", "crn": "crn", "version": "version", "sha": "sha", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "offering_id": "offering_id", "catalog_id": "catalog_id", "kind_id": "kind_id", "tags": ["tags"], "repo_url": "repo_url", "source_url": "source_url", "tgz_url": "tgz_url", "configuration": [{"key": "key", "type": "type", "default_value": {"anyKey": "anyValue"}, "value_constraint": "value_constraint", "description": "description", "required": true, "options": [{"anyKey": "anyValue"}], "hidden": true}], "metadata": {"anyKey": "anyValue"}, "validation": {"validated": "2019-01-01T12:00:00", "requested": "2019-01-01T12:00:00", "state": "state", "last_operation": "last_operation", "target": {"anyKey": "anyValue"}}, "required_resources": [{"type": "mem", "value": {"anyKey": "anyValue"}}], "single_instance": false, "install": {"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}, "pre_install": [{"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}], "entitlement": {"provider_name": "provider_name", "provider_id": "provider_id", "product_id": "product_id", "part_numbers": ["part_numbers"], "image_repo_name": "image_repo_name"}, "licenses": [{"id": "id", "name": "name", "type": "type", "url": "url", "description": "description"}], "image_manifest_url": "image_manifest_url", "deprecated": true, "package_version": "package_version", "state": {"current": "current", "current_entered": "2019-01-01T12:00:00", "pending": "pending", "pending_requested": "2019-01-01T12:00:00", "previous": "previous"}, "version_locator": "version_locator", "console_url": "console_url", "long_description": "long_description", "whitelisted_accounts": ["whitelisted_accounts"]}], "plans": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "deployments": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00"}]}]}], "permit_request_ibm_public_publish": false, "ibm_publish_approved": true, "public_publish_approved": false, "public_original_crn": "public_original_crn", "publish_public_crn": "publish_public_crn", "portal_approval_record": "portal_approval_record", "portal_ui_url": "portal_ui_url", "catalog_id": "catalog_id", "catalog_name": "catalog_name", "metadata": {"anyKey": "anyValue"}, "disclaimer": "disclaimer", "hidden": true, "provider": "provider", "repo_info": {"token": "token", "type": "type"}}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=201) # Set up parameter values catalog_identifier = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "catalog_identifier": catalog_identifier, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.create_offering(**req_copy) #----------------------------------------------------------------------------- # Test Class for import_offering_version #----------------------------------------------------------------------------- class TestImportOfferingVersion(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # import_offering_version() #-------------------------------------------------------- @responses.activate def test_import_offering_version_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/catalogs/testString/offerings/testString/version') mock_response = '{"id": "id", "_rev": "rev", "url": "url", "crn": "crn", "label": "label", "name": "name", "offering_icon_url": "offering_icon_url", "offering_docs_url": "offering_docs_url", "offering_support_url": "offering_support_url", "tags": ["tags"], "rating": {"one_star_count": 14, "two_star_count": 14, "three_star_count": 16, "four_star_count": 15}, "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "short_description": "short_description", "long_description": "long_description", "features": [{"title": "title", "description": "description"}], "kinds": [{"id": "id", "format_kind": "format_kind", "target_kind": "target_kind", "metadata": {"anyKey": "anyValue"}, "install_description": "install_description", "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "versions": [{"id": "id", "_rev": "rev", "crn": "crn", "version": "version", "sha": "sha", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "offering_id": "offering_id", "catalog_id": "catalog_id", "kind_id": "kind_id", "tags": ["tags"], "repo_url": "repo_url", "source_url": "source_url", "tgz_url": "tgz_url", "configuration": [{"key": "key", "type": "type", "default_value": {"anyKey": "anyValue"}, "value_constraint": "value_constraint", "description": "description", "required": true, "options": [{"anyKey": "anyValue"}], "hidden": true}], "metadata": {"anyKey": "anyValue"}, "validation": {"validated": "2019-01-01T12:00:00", "requested": "2019-01-01T12:00:00", "state": "state", "last_operation": "last_operation", "target": {"anyKey": "anyValue"}}, "required_resources": [{"type": "mem", "value": {"anyKey": "anyValue"}}], "single_instance": false, "install": {"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}, "pre_install": [{"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}], "entitlement": {"provider_name": "provider_name", "provider_id": "provider_id", "product_id": "product_id", "part_numbers": ["part_numbers"], "image_repo_name": "image_repo_name"}, "licenses": [{"id": "id", "name": "name", "type": "type", "url": "url", "description": "description"}], "image_manifest_url": "image_manifest_url", "deprecated": true, "package_version": "package_version", "state": {"current": "current", "current_entered": "2019-01-01T12:00:00", "pending": "pending", "pending_requested": "2019-01-01T12:00:00", "previous": "previous"}, "version_locator": "version_locator", "console_url": "console_url", "long_description": "long_description", "whitelisted_accounts": ["whitelisted_accounts"]}], "plans": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "deployments": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00"}]}]}], "permit_request_ibm_public_publish": false, "ibm_publish_approved": true, "public_publish_approved": false, "public_original_crn": "public_original_crn", "publish_public_crn": "publish_public_crn", "portal_approval_record": "portal_approval_record", "portal_ui_url": "portal_ui_url", "catalog_id": "catalog_id", "catalog_name": "catalog_name", "metadata": {"anyKey": "anyValue"}, "disclaimer": "disclaimer", "hidden": true, "provider": "provider", "repo_info": {"token": "token", "type": "type"}}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=201) # Set up parameter values catalog_identifier = 'testString' offering_id = 'testString' zipurl = 'testString' tags = ['testString'] target_kinds = ['testString'] target_version = 'testString' include_config = True repo_type = 'testString' x_auth_token = 'testString' # Invoke method response = service.import_offering_version( catalog_identifier, offering_id, zipurl, tags=tags, target_kinds=target_kinds, target_version=target_version, include_config=include_config, repo_type=repo_type, x_auth_token=x_auth_token, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 201 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = requests.utils.unquote(query_string) assert 'zipurl={}'.format(zipurl) in query_string assert 'targetVersion={}'.format(target_version) in query_string assert 'includeConfig={}'.format('true' if include_config else 'false') in query_string assert 'repoType={}'.format(repo_type) in query_string # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['tags'] == ['testString'] assert req_body['target_kinds'] == ['testString'] #-------------------------------------------------------- # test_import_offering_version_required_params() #-------------------------------------------------------- @responses.activate def test_import_offering_version_required_params(self): # Set up mock url = self.preprocess_url(base_url + '/catalogs/testString/offerings/testString/version') mock_response = '{"id": "id", "_rev": "rev", "url": "url", "crn": "crn", "label": "label", "name": "name", "offering_icon_url": "offering_icon_url", "offering_docs_url": "offering_docs_url", "offering_support_url": "offering_support_url", "tags": ["tags"], "rating": {"one_star_count": 14, "two_star_count": 14, "three_star_count": 16, "four_star_count": 15}, "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "short_description": "short_description", "long_description": "long_description", "features": [{"title": "title", "description": "description"}], "kinds": [{"id": "id", "format_kind": "format_kind", "target_kind": "target_kind", "metadata": {"anyKey": "anyValue"}, "install_description": "install_description", "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "versions": [{"id": "id", "_rev": "rev", "crn": "crn", "version": "version", "sha": "sha", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "offering_id": "offering_id", "catalog_id": "catalog_id", "kind_id": "kind_id", "tags": ["tags"], "repo_url": "repo_url", "source_url": "source_url", "tgz_url": "tgz_url", "configuration": [{"key": "key", "type": "type", "default_value": {"anyKey": "anyValue"}, "value_constraint": "value_constraint", "description": "description", "required": true, "options": [{"anyKey": "anyValue"}], "hidden": true}], "metadata": {"anyKey": "anyValue"}, "validation": {"validated": "2019-01-01T12:00:00", "requested": "2019-01-01T12:00:00", "state": "state", "last_operation": "last_operation", "target": {"anyKey": "anyValue"}}, "required_resources": [{"type": "mem", "value": {"anyKey": "anyValue"}}], "single_instance": false, "install": {"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}, "pre_install": [{"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}], "entitlement": {"provider_name": "provider_name", "provider_id": "provider_id", "product_id": "product_id", "part_numbers": ["part_numbers"], "image_repo_name": "image_repo_name"}, "licenses": [{"id": "id", "name": "name", "type": "type", "url": "url", "description": "description"}], "image_manifest_url": "image_manifest_url", "deprecated": true, "package_version": "package_version", "state": {"current": "current", "current_entered": "2019-01-01T12:00:00", "pending": "pending", "pending_requested": "2019-01-01T12:00:00", "previous": "previous"}, "version_locator": "version_locator", "console_url": "console_url", "long_description": "long_description", "whitelisted_accounts": ["whitelisted_accounts"]}], "plans": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "deployments": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00"}]}]}], "permit_request_ibm_public_publish": false, "ibm_publish_approved": true, "public_publish_approved": false, "public_original_crn": "public_original_crn", "publish_public_crn": "publish_public_crn", "portal_approval_record": "portal_approval_record", "portal_ui_url": "portal_ui_url", "catalog_id": "catalog_id", "catalog_name": "catalog_name", "metadata": {"anyKey": "anyValue"}, "disclaimer": "disclaimer", "hidden": true, "provider": "provider", "repo_info": {"token": "token", "type": "type"}}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=201) # Set up parameter values catalog_identifier = 'testString' offering_id = 'testString' zipurl = 'testString' # Invoke method response = service.import_offering_version( catalog_identifier, offering_id, zipurl, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 201 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = requests.utils.unquote(query_string) assert 'zipurl={}'.format(zipurl) in query_string #-------------------------------------------------------- # test_import_offering_version_value_error() #-------------------------------------------------------- @responses.activate def test_import_offering_version_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/catalogs/testString/offerings/testString/version') mock_response = '{"id": "id", "_rev": "rev", "url": "url", "crn": "crn", "label": "label", "name": "name", "offering_icon_url": "offering_icon_url", "offering_docs_url": "offering_docs_url", "offering_support_url": "offering_support_url", "tags": ["tags"], "rating": {"one_star_count": 14, "two_star_count": 14, "three_star_count": 16, "four_star_count": 15}, "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "short_description": "short_description", "long_description": "long_description", "features": [{"title": "title", "description": "description"}], "kinds": [{"id": "id", "format_kind": "format_kind", "target_kind": "target_kind", "metadata": {"anyKey": "anyValue"}, "install_description": "install_description", "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "versions": [{"id": "id", "_rev": "rev", "crn": "crn", "version": "version", "sha": "sha", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "offering_id": "offering_id", "catalog_id": "catalog_id", "kind_id": "kind_id", "tags": ["tags"], "repo_url": "repo_url", "source_url": "source_url", "tgz_url": "tgz_url", "configuration": [{"key": "key", "type": "type", "default_value": {"anyKey": "anyValue"}, "value_constraint": "value_constraint", "description": "description", "required": true, "options": [{"anyKey": "anyValue"}], "hidden": true}], "metadata": {"anyKey": "anyValue"}, "validation": {"validated": "2019-01-01T12:00:00", "requested": "2019-01-01T12:00:00", "state": "state", "last_operation": "last_operation", "target": {"anyKey": "anyValue"}}, "required_resources": [{"type": "mem", "value": {"anyKey": "anyValue"}}], "single_instance": false, "install": {"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}, "pre_install": [{"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}], "entitlement": {"provider_name": "provider_name", "provider_id": "provider_id", "product_id": "product_id", "part_numbers": ["part_numbers"], "image_repo_name": "image_repo_name"}, "licenses": [{"id": "id", "name": "name", "type": "type", "url": "url", "description": "description"}], "image_manifest_url": "image_manifest_url", "deprecated": true, "package_version": "package_version", "state": {"current": "current", "current_entered": "2019-01-01T12:00:00", "pending": "pending", "pending_requested": "2019-01-01T12:00:00", "previous": "previous"}, "version_locator": "version_locator", "console_url": "console_url", "long_description": "long_description", "whitelisted_accounts": ["whitelisted_accounts"]}], "plans": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "deployments": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00"}]}]}], "permit_request_ibm_public_publish": false, "ibm_publish_approved": true, "public_publish_approved": false, "public_original_crn": "public_original_crn", "publish_public_crn": "publish_public_crn", "portal_approval_record": "portal_approval_record", "portal_ui_url": "portal_ui_url", "catalog_id": "catalog_id", "catalog_name": "catalog_name", "metadata": {"anyKey": "anyValue"}, "disclaimer": "disclaimer", "hidden": true, "provider": "provider", "repo_info": {"token": "token", "type": "type"}}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=201) # Set up parameter values catalog_identifier = 'testString' offering_id = 'testString' zipurl = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "catalog_identifier": catalog_identifier, "offering_id": offering_id, "zipurl": zipurl, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.import_offering_version(**req_copy) #----------------------------------------------------------------------------- # Test Class for import_offering #----------------------------------------------------------------------------- class TestImportOffering(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # import_offering() #-------------------------------------------------------- @responses.activate def test_import_offering_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/catalogs/testString/import/offerings') mock_response = '{"id": "id", "_rev": "rev", "url": "url", "crn": "crn", "label": "label", "name": "name", "offering_icon_url": "offering_icon_url", "offering_docs_url": "offering_docs_url", "offering_support_url": "offering_support_url", "tags": ["tags"], "rating": {"one_star_count": 14, "two_star_count": 14, "three_star_count": 16, "four_star_count": 15}, "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "short_description": "short_description", "long_description": "long_description", "features": [{"title": "title", "description": "description"}], "kinds": [{"id": "id", "format_kind": "format_kind", "target_kind": "target_kind", "metadata": {"anyKey": "anyValue"}, "install_description": "install_description", "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "versions": [{"id": "id", "_rev": "rev", "crn": "crn", "version": "version", "sha": "sha", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "offering_id": "offering_id", "catalog_id": "catalog_id", "kind_id": "kind_id", "tags": ["tags"], "repo_url": "repo_url", "source_url": "source_url", "tgz_url": "tgz_url", "configuration": [{"key": "key", "type": "type", "default_value": {"anyKey": "anyValue"}, "value_constraint": "value_constraint", "description": "description", "required": true, "options": [{"anyKey": "anyValue"}], "hidden": true}], "metadata": {"anyKey": "anyValue"}, "validation": {"validated": "2019-01-01T12:00:00", "requested": "2019-01-01T12:00:00", "state": "state", "last_operation": "last_operation", "target": {"anyKey": "anyValue"}}, "required_resources": [{"type": "mem", "value": {"anyKey": "anyValue"}}], "single_instance": false, "install": {"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}, "pre_install": [{"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}], "entitlement": {"provider_name": "provider_name", "provider_id": "provider_id", "product_id": "product_id", "part_numbers": ["part_numbers"], "image_repo_name": "image_repo_name"}, "licenses": [{"id": "id", "name": "name", "type": "type", "url": "url", "description": "description"}], "image_manifest_url": "image_manifest_url", "deprecated": true, "package_version": "package_version", "state": {"current": "current", "current_entered": "2019-01-01T12:00:00", "pending": "pending", "pending_requested": "2019-01-01T12:00:00", "previous": "previous"}, "version_locator": "version_locator", "console_url": "console_url", "long_description": "long_description", "whitelisted_accounts": ["whitelisted_accounts"]}], "plans": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "deployments": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00"}]}]}], "permit_request_ibm_public_publish": false, "ibm_publish_approved": true, "public_publish_approved": false, "public_original_crn": "public_original_crn", "publish_public_crn": "publish_public_crn", "portal_approval_record": "portal_approval_record", "portal_ui_url": "portal_ui_url", "catalog_id": "catalog_id", "catalog_name": "catalog_name", "metadata": {"anyKey": "anyValue"}, "disclaimer": "disclaimer", "hidden": true, "provider": "provider", "repo_info": {"token": "token", "type": "type"}}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=201) # Set up parameter values catalog_identifier = 'testString' zipurl = 'testString' tags = ['testString'] target_kinds = ['testString'] offering_id = 'testString' include_config = True repo_type = 'testString' x_auth_token = 'testString' # Invoke method response = service.import_offering( catalog_identifier, zipurl, tags=tags, target_kinds=target_kinds, offering_id=offering_id, include_config=include_config, repo_type=repo_type, x_auth_token=x_auth_token, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 201 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = requests.utils.unquote(query_string) assert 'zipurl={}'.format(zipurl) in query_string assert 'offeringID={}'.format(offering_id) in query_string assert 'includeConfig={}'.format('true' if include_config else 'false') in query_string assert 'repoType={}'.format(repo_type) in query_string # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['tags'] == ['testString'] assert req_body['target_kinds'] == ['testString'] #-------------------------------------------------------- # test_import_offering_required_params() #-------------------------------------------------------- @responses.activate def test_import_offering_required_params(self): # Set up mock url = self.preprocess_url(base_url + '/catalogs/testString/import/offerings') mock_response = '{"id": "id", "_rev": "rev", "url": "url", "crn": "crn", "label": "label", "name": "name", "offering_icon_url": "offering_icon_url", "offering_docs_url": "offering_docs_url", "offering_support_url": "offering_support_url", "tags": ["tags"], "rating": {"one_star_count": 14, "two_star_count": 14, "three_star_count": 16, "four_star_count": 15}, "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "short_description": "short_description", "long_description": "long_description", "features": [{"title": "title", "description": "description"}], "kinds": [{"id": "id", "format_kind": "format_kind", "target_kind": "target_kind", "metadata": {"anyKey": "anyValue"}, "install_description": "install_description", "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "versions": [{"id": "id", "_rev": "rev", "crn": "crn", "version": "version", "sha": "sha", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "offering_id": "offering_id", "catalog_id": "catalog_id", "kind_id": "kind_id", "tags": ["tags"], "repo_url": "repo_url", "source_url": "source_url", "tgz_url": "tgz_url", "configuration": [{"key": "key", "type": "type", "default_value": {"anyKey": "anyValue"}, "value_constraint": "value_constraint", "description": "description", "required": true, "options": [{"anyKey": "anyValue"}], "hidden": true}], "metadata": {"anyKey": "anyValue"}, "validation": {"validated": "2019-01-01T12:00:00", "requested": "2019-01-01T12:00:00", "state": "state", "last_operation": "last_operation", "target": {"anyKey": "anyValue"}}, "required_resources": [{"type": "mem", "value": {"anyKey": "anyValue"}}], "single_instance": false, "install": {"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}, "pre_install": [{"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}], "entitlement": {"provider_name": "provider_name", "provider_id": "provider_id", "product_id": "product_id", "part_numbers": ["part_numbers"], "image_repo_name": "image_repo_name"}, "licenses": [{"id": "id", "name": "name", "type": "type", "url": "url", "description": "description"}], "image_manifest_url": "image_manifest_url", "deprecated": true, "package_version": "package_version", "state": {"current": "current", "current_entered": "2019-01-01T12:00:00", "pending": "pending", "pending_requested": "2019-01-01T12:00:00", "previous": "previous"}, "version_locator": "version_locator", "console_url": "console_url", "long_description": "long_description", "whitelisted_accounts": ["whitelisted_accounts"]}], "plans": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "deployments": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00"}]}]}], "permit_request_ibm_public_publish": false, "ibm_publish_approved": true, "public_publish_approved": false, "public_original_crn": "public_original_crn", "publish_public_crn": "publish_public_crn", "portal_approval_record": "portal_approval_record", "portal_ui_url": "portal_ui_url", "catalog_id": "catalog_id", "catalog_name": "catalog_name", "metadata": {"anyKey": "anyValue"}, "disclaimer": "disclaimer", "hidden": true, "provider": "provider", "repo_info": {"token": "token", "type": "type"}}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=201) # Set up parameter values catalog_identifier = 'testString' zipurl = 'testString' # Invoke method response = service.import_offering( catalog_identifier, zipurl, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 201 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = requests.utils.unquote(query_string) assert 'zipurl={}'.format(zipurl) in query_string #-------------------------------------------------------- # test_import_offering_value_error() #-------------------------------------------------------- @responses.activate def test_import_offering_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/catalogs/testString/import/offerings') mock_response = '{"id": "id", "_rev": "rev", "url": "url", "crn": "crn", "label": "label", "name": "name", "offering_icon_url": "offering_icon_url", "offering_docs_url": "offering_docs_url", "offering_support_url": "offering_support_url", "tags": ["tags"], "rating": {"one_star_count": 14, "two_star_count": 14, "three_star_count": 16, "four_star_count": 15}, "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "short_description": "short_description", "long_description": "long_description", "features": [{"title": "title", "description": "description"}], "kinds": [{"id": "id", "format_kind": "format_kind", "target_kind": "target_kind", "metadata": {"anyKey": "anyValue"}, "install_description": "install_description", "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "versions": [{"id": "id", "_rev": "rev", "crn": "crn", "version": "version", "sha": "sha", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "offering_id": "offering_id", "catalog_id": "catalog_id", "kind_id": "kind_id", "tags": ["tags"], "repo_url": "repo_url", "source_url": "source_url", "tgz_url": "tgz_url", "configuration": [{"key": "key", "type": "type", "default_value": {"anyKey": "anyValue"}, "value_constraint": "value_constraint", "description": "description", "required": true, "options": [{"anyKey": "anyValue"}], "hidden": true}], "metadata": {"anyKey": "anyValue"}, "validation": {"validated": "2019-01-01T12:00:00", "requested": "2019-01-01T12:00:00", "state": "state", "last_operation": "last_operation", "target": {"anyKey": "anyValue"}}, "required_resources": [{"type": "mem", "value": {"anyKey": "anyValue"}}], "single_instance": false, "install": {"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}, "pre_install": [{"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}], "entitlement": {"provider_name": "provider_name", "provider_id": "provider_id", "product_id": "product_id", "part_numbers": ["part_numbers"], "image_repo_name": "image_repo_name"}, "licenses": [{"id": "id", "name": "name", "type": "type", "url": "url", "description": "description"}], "image_manifest_url": "image_manifest_url", "deprecated": true, "package_version": "package_version", "state": {"current": "current", "current_entered": "2019-01-01T12:00:00", "pending": "pending", "pending_requested": "2019-01-01T12:00:00", "previous": "previous"}, "version_locator": "version_locator", "console_url": "console_url", "long_description": "long_description", "whitelisted_accounts": ["whitelisted_accounts"]}], "plans": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "deployments": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00"}]}]}], "permit_request_ibm_public_publish": false, "ibm_publish_approved": true, "public_publish_approved": false, "public_original_crn": "public_original_crn", "publish_public_crn": "publish_public_crn", "portal_approval_record": "portal_approval_record", "portal_ui_url": "portal_ui_url", "catalog_id": "catalog_id", "catalog_name": "catalog_name", "metadata": {"anyKey": "anyValue"}, "disclaimer": "disclaimer", "hidden": true, "provider": "provider", "repo_info": {"token": "token", "type": "type"}}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=201) # Set up parameter values catalog_identifier = 'testString' zipurl = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "catalog_identifier": catalog_identifier, "zipurl": zipurl, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.import_offering(**req_copy) #----------------------------------------------------------------------------- # Test Class for reload_offering #----------------------------------------------------------------------------- class TestReloadOffering(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # reload_offering() #-------------------------------------------------------- @responses.activate def test_reload_offering_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/catalogs/testString/offerings/testString/reload') mock_response = '{"id": "id", "_rev": "rev", "url": "url", "crn": "crn", "label": "label", "name": "name", "offering_icon_url": "offering_icon_url", "offering_docs_url": "offering_docs_url", "offering_support_url": "offering_support_url", "tags": ["tags"], "rating": {"one_star_count": 14, "two_star_count": 14, "three_star_count": 16, "four_star_count": 15}, "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "short_description": "short_description", "long_description": "long_description", "features": [{"title": "title", "description": "description"}], "kinds": [{"id": "id", "format_kind": "format_kind", "target_kind": "target_kind", "metadata": {"anyKey": "anyValue"}, "install_description": "install_description", "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "versions": [{"id": "id", "_rev": "rev", "crn": "crn", "version": "version", "sha": "sha", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "offering_id": "offering_id", "catalog_id": "catalog_id", "kind_id": "kind_id", "tags": ["tags"], "repo_url": "repo_url", "source_url": "source_url", "tgz_url": "tgz_url", "configuration": [{"key": "key", "type": "type", "default_value": {"anyKey": "anyValue"}, "value_constraint": "value_constraint", "description": "description", "required": true, "options": [{"anyKey": "anyValue"}], "hidden": true}], "metadata": {"anyKey": "anyValue"}, "validation": {"validated": "2019-01-01T12:00:00", "requested": "2019-01-01T12:00:00", "state": "state", "last_operation": "last_operation", "target": {"anyKey": "anyValue"}}, "required_resources": [{"type": "mem", "value": {"anyKey": "anyValue"}}], "single_instance": false, "install": {"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}, "pre_install": [{"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}], "entitlement": {"provider_name": "provider_name", "provider_id": "provider_id", "product_id": "product_id", "part_numbers": ["part_numbers"], "image_repo_name": "image_repo_name"}, "licenses": [{"id": "id", "name": "name", "type": "type", "url": "url", "description": "description"}], "image_manifest_url": "image_manifest_url", "deprecated": true, "package_version": "package_version", "state": {"current": "current", "current_entered": "2019-01-01T12:00:00", "pending": "pending", "pending_requested": "2019-01-01T12:00:00", "previous": "previous"}, "version_locator": "version_locator", "console_url": "console_url", "long_description": "long_description", "whitelisted_accounts": ["whitelisted_accounts"]}], "plans": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "deployments": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00"}]}]}], "permit_request_ibm_public_publish": false, "ibm_publish_approved": true, "public_publish_approved": false, "public_original_crn": "public_original_crn", "publish_public_crn": "publish_public_crn", "portal_approval_record": "portal_approval_record", "portal_ui_url": "portal_ui_url", "catalog_id": "catalog_id", "catalog_name": "catalog_name", "metadata": {"anyKey": "anyValue"}, "disclaimer": "disclaimer", "hidden": true, "provider": "provider", "repo_info": {"token": "token", "type": "type"}}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=201) # Set up parameter values catalog_identifier = 'testString' offering_id = 'testString' zipurl = 'testString' target_version = 'testString' tags = ['testString'] target_kinds = ['testString'] repo_type = 'testString' x_auth_token = 'testString' # Invoke method response = service.reload_offering( catalog_identifier, offering_id, zipurl, target_version, tags=tags, target_kinds=target_kinds, repo_type=repo_type, x_auth_token=x_auth_token, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 201 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = requests.utils.unquote(query_string) assert 'zipurl={}'.format(zipurl) in query_string assert 'targetVersion={}'.format(target_version) in query_string assert 'repoType={}'.format(repo_type) in query_string # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['tags'] == ['testString'] assert req_body['target_kinds'] == ['testString'] #-------------------------------------------------------- # test_reload_offering_required_params() #-------------------------------------------------------- @responses.activate def test_reload_offering_required_params(self): # Set up mock url = self.preprocess_url(base_url + '/catalogs/testString/offerings/testString/reload') mock_response = '{"id": "id", "_rev": "rev", "url": "url", "crn": "crn", "label": "label", "name": "name", "offering_icon_url": "offering_icon_url", "offering_docs_url": "offering_docs_url", "offering_support_url": "offering_support_url", "tags": ["tags"], "rating": {"one_star_count": 14, "two_star_count": 14, "three_star_count": 16, "four_star_count": 15}, "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "short_description": "short_description", "long_description": "long_description", "features": [{"title": "title", "description": "description"}], "kinds": [{"id": "id", "format_kind": "format_kind", "target_kind": "target_kind", "metadata": {"anyKey": "anyValue"}, "install_description": "install_description", "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "versions": [{"id": "id", "_rev": "rev", "crn": "crn", "version": "version", "sha": "sha", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "offering_id": "offering_id", "catalog_id": "catalog_id", "kind_id": "kind_id", "tags": ["tags"], "repo_url": "repo_url", "source_url": "source_url", "tgz_url": "tgz_url", "configuration": [{"key": "key", "type": "type", "default_value": {"anyKey": "anyValue"}, "value_constraint": "value_constraint", "description": "description", "required": true, "options": [{"anyKey": "anyValue"}], "hidden": true}], "metadata": {"anyKey": "anyValue"}, "validation": {"validated": "2019-01-01T12:00:00", "requested": "2019-01-01T12:00:00", "state": "state", "last_operation": "last_operation", "target": {"anyKey": "anyValue"}}, "required_resources": [{"type": "mem", "value": {"anyKey": "anyValue"}}], "single_instance": false, "install": {"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}, "pre_install": [{"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}], "entitlement": {"provider_name": "provider_name", "provider_id": "provider_id", "product_id": "product_id", "part_numbers": ["part_numbers"], "image_repo_name": "image_repo_name"}, "licenses": [{"id": "id", "name": "name", "type": "type", "url": "url", "description": "description"}], "image_manifest_url": "image_manifest_url", "deprecated": true, "package_version": "package_version", "state": {"current": "current", "current_entered": "2019-01-01T12:00:00", "pending": "pending", "pending_requested": "2019-01-01T12:00:00", "previous": "previous"}, "version_locator": "version_locator", "console_url": "console_url", "long_description": "long_description", "whitelisted_accounts": ["whitelisted_accounts"]}], "plans": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "deployments": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00"}]}]}], "permit_request_ibm_public_publish": false, "ibm_publish_approved": true, "public_publish_approved": false, "public_original_crn": "public_original_crn", "publish_public_crn": "publish_public_crn", "portal_approval_record": "portal_approval_record", "portal_ui_url": "portal_ui_url", "catalog_id": "catalog_id", "catalog_name": "catalog_name", "metadata": {"anyKey": "anyValue"}, "disclaimer": "disclaimer", "hidden": true, "provider": "provider", "repo_info": {"token": "token", "type": "type"}}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=201) # Set up parameter values catalog_identifier = 'testString' offering_id = 'testString' zipurl = 'testString' target_version = 'testString' # Invoke method response = service.reload_offering( catalog_identifier, offering_id, zipurl, target_version, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 201 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = requests.utils.unquote(query_string) assert 'zipurl={}'.format(zipurl) in query_string assert 'targetVersion={}'.format(target_version) in query_string #-------------------------------------------------------- # test_reload_offering_value_error() #-------------------------------------------------------- @responses.activate def test_reload_offering_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/catalogs/testString/offerings/testString/reload') mock_response = '{"id": "id", "_rev": "rev", "url": "url", "crn": "crn", "label": "label", "name": "name", "offering_icon_url": "offering_icon_url", "offering_docs_url": "offering_docs_url", "offering_support_url": "offering_support_url", "tags": ["tags"], "rating": {"one_star_count": 14, "two_star_count": 14, "three_star_count": 16, "four_star_count": 15}, "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "short_description": "short_description", "long_description": "long_description", "features": [{"title": "title", "description": "description"}], "kinds": [{"id": "id", "format_kind": "format_kind", "target_kind": "target_kind", "metadata": {"anyKey": "anyValue"}, "install_description": "install_description", "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "versions": [{"id": "id", "_rev": "rev", "crn": "crn", "version": "version", "sha": "sha", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "offering_id": "offering_id", "catalog_id": "catalog_id", "kind_id": "kind_id", "tags": ["tags"], "repo_url": "repo_url", "source_url": "source_url", "tgz_url": "tgz_url", "configuration": [{"key": "key", "type": "type", "default_value": {"anyKey": "anyValue"}, "value_constraint": "value_constraint", "description": "description", "required": true, "options": [{"anyKey": "anyValue"}], "hidden": true}], "metadata": {"anyKey": "anyValue"}, "validation": {"validated": "2019-01-01T12:00:00", "requested": "2019-01-01T12:00:00", "state": "state", "last_operation": "last_operation", "target": {"anyKey": "anyValue"}}, "required_resources": [{"type": "mem", "value": {"anyKey": "anyValue"}}], "single_instance": false, "install": {"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}, "pre_install": [{"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}], "entitlement": {"provider_name": "provider_name", "provider_id": "provider_id", "product_id": "product_id", "part_numbers": ["part_numbers"], "image_repo_name": "image_repo_name"}, "licenses": [{"id": "id", "name": "name", "type": "type", "url": "url", "description": "description"}], "image_manifest_url": "image_manifest_url", "deprecated": true, "package_version": "package_version", "state": {"current": "current", "current_entered": "2019-01-01T12:00:00", "pending": "pending", "pending_requested": "2019-01-01T12:00:00", "previous": "previous"}, "version_locator": "version_locator", "console_url": "console_url", "long_description": "long_description", "whitelisted_accounts": ["whitelisted_accounts"]}], "plans": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "deployments": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00"}]}]}], "permit_request_ibm_public_publish": false, "ibm_publish_approved": true, "public_publish_approved": false, "public_original_crn": "public_original_crn", "publish_public_crn": "publish_public_crn", "portal_approval_record": "portal_approval_record", "portal_ui_url": "portal_ui_url", "catalog_id": "catalog_id", "catalog_name": "catalog_name", "metadata": {"anyKey": "anyValue"}, "disclaimer": "disclaimer", "hidden": true, "provider": "provider", "repo_info": {"token": "token", "type": "type"}}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=201) # Set up parameter values catalog_identifier = 'testString' offering_id = 'testString' zipurl = 'testString' target_version = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "catalog_identifier": catalog_identifier, "offering_id": offering_id, "zipurl": zipurl, "target_version": target_version, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.reload_offering(**req_copy) #----------------------------------------------------------------------------- # Test Class for get_offering #----------------------------------------------------------------------------- class TestGetOffering(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # get_offering() #-------------------------------------------------------- @responses.activate def test_get_offering_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/catalogs/testString/offerings/testString') mock_response = '{"id": "id", "_rev": "rev", "url": "url", "crn": "crn", "label": "label", "name": "name", "offering_icon_url": "offering_icon_url", "offering_docs_url": "offering_docs_url", "offering_support_url": "offering_support_url", "tags": ["tags"], "rating": {"one_star_count": 14, "two_star_count": 14, "three_star_count": 16, "four_star_count": 15}, "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "short_description": "short_description", "long_description": "long_description", "features": [{"title": "title", "description": "description"}], "kinds": [{"id": "id", "format_kind": "format_kind", "target_kind": "target_kind", "metadata": {"anyKey": "anyValue"}, "install_description": "install_description", "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "versions": [{"id": "id", "_rev": "rev", "crn": "crn", "version": "version", "sha": "sha", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "offering_id": "offering_id", "catalog_id": "catalog_id", "kind_id": "kind_id", "tags": ["tags"], "repo_url": "repo_url", "source_url": "source_url", "tgz_url": "tgz_url", "configuration": [{"key": "key", "type": "type", "default_value": {"anyKey": "anyValue"}, "value_constraint": "value_constraint", "description": "description", "required": true, "options": [{"anyKey": "anyValue"}], "hidden": true}], "metadata": {"anyKey": "anyValue"}, "validation": {"validated": "2019-01-01T12:00:00", "requested": "2019-01-01T12:00:00", "state": "state", "last_operation": "last_operation", "target": {"anyKey": "anyValue"}}, "required_resources": [{"type": "mem", "value": {"anyKey": "anyValue"}}], "single_instance": false, "install": {"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}, "pre_install": [{"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}], "entitlement": {"provider_name": "provider_name", "provider_id": "provider_id", "product_id": "product_id", "part_numbers": ["part_numbers"], "image_repo_name": "image_repo_name"}, "licenses": [{"id": "id", "name": "name", "type": "type", "url": "url", "description": "description"}], "image_manifest_url": "image_manifest_url", "deprecated": true, "package_version": "package_version", "state": {"current": "current", "current_entered": "2019-01-01T12:00:00", "pending": "pending", "pending_requested": "2019-01-01T12:00:00", "previous": "previous"}, "version_locator": "version_locator", "console_url": "console_url", "long_description": "long_description", "whitelisted_accounts": ["whitelisted_accounts"]}], "plans": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "deployments": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00"}]}]}], "permit_request_ibm_public_publish": false, "ibm_publish_approved": true, "public_publish_approved": false, "public_original_crn": "public_original_crn", "publish_public_crn": "publish_public_crn", "portal_approval_record": "portal_approval_record", "portal_ui_url": "portal_ui_url", "catalog_id": "catalog_id", "catalog_name": "catalog_name", "metadata": {"anyKey": "anyValue"}, "disclaimer": "disclaimer", "hidden": true, "provider": "provider", "repo_info": {"token": "token", "type": "type"}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values catalog_identifier = 'testString' offering_id = 'testString' # Invoke method response = service.get_offering( catalog_identifier, offering_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 #-------------------------------------------------------- # test_get_offering_value_error() #-------------------------------------------------------- @responses.activate def test_get_offering_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/catalogs/testString/offerings/testString') mock_response = '{"id": "id", "_rev": "rev", "url": "url", "crn": "crn", "label": "label", "name": "name", "offering_icon_url": "offering_icon_url", "offering_docs_url": "offering_docs_url", "offering_support_url": "offering_support_url", "tags": ["tags"], "rating": {"one_star_count": 14, "two_star_count": 14, "three_star_count": 16, "four_star_count": 15}, "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "short_description": "short_description", "long_description": "long_description", "features": [{"title": "title", "description": "description"}], "kinds": [{"id": "id", "format_kind": "format_kind", "target_kind": "target_kind", "metadata": {"anyKey": "anyValue"}, "install_description": "install_description", "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "versions": [{"id": "id", "_rev": "rev", "crn": "crn", "version": "version", "sha": "sha", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "offering_id": "offering_id", "catalog_id": "catalog_id", "kind_id": "kind_id", "tags": ["tags"], "repo_url": "repo_url", "source_url": "source_url", "tgz_url": "tgz_url", "configuration": [{"key": "key", "type": "type", "default_value": {"anyKey": "anyValue"}, "value_constraint": "value_constraint", "description": "description", "required": true, "options": [{"anyKey": "anyValue"}], "hidden": true}], "metadata": {"anyKey": "anyValue"}, "validation": {"validated": "2019-01-01T12:00:00", "requested": "2019-01-01T12:00:00", "state": "state", "last_operation": "last_operation", "target": {"anyKey": "anyValue"}}, "required_resources": [{"type": "mem", "value": {"anyKey": "anyValue"}}], "single_instance": false, "install": {"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}, "pre_install": [{"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}], "entitlement": {"provider_name": "provider_name", "provider_id": "provider_id", "product_id": "product_id", "part_numbers": ["part_numbers"], "image_repo_name": "image_repo_name"}, "licenses": [{"id": "id", "name": "name", "type": "type", "url": "url", "description": "description"}], "image_manifest_url": "image_manifest_url", "deprecated": true, "package_version": "package_version", "state": {"current": "current", "current_entered": "2019-01-01T12:00:00", "pending": "pending", "pending_requested": "2019-01-01T12:00:00", "previous": "previous"}, "version_locator": "version_locator", "console_url": "console_url", "long_description": "long_description", "whitelisted_accounts": ["whitelisted_accounts"]}], "plans": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "deployments": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00"}]}]}], "permit_request_ibm_public_publish": false, "ibm_publish_approved": true, "public_publish_approved": false, "public_original_crn": "public_original_crn", "publish_public_crn": "publish_public_crn", "portal_approval_record": "portal_approval_record", "portal_ui_url": "portal_ui_url", "catalog_id": "catalog_id", "catalog_name": "catalog_name", "metadata": {"anyKey": "anyValue"}, "disclaimer": "disclaimer", "hidden": true, "provider": "provider", "repo_info": {"token": "token", "type": "type"}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values catalog_identifier = 'testString' offering_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "catalog_identifier": catalog_identifier, "offering_id": offering_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.get_offering(**req_copy) #----------------------------------------------------------------------------- # Test Class for replace_offering #----------------------------------------------------------------------------- class TestReplaceOffering(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # replace_offering() #-------------------------------------------------------- @responses.activate def test_replace_offering_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/catalogs/testString/offerings/testString') mock_response = '{"id": "id", "_rev": "rev", "label": "label", "short_description": "short_description", "catalog_icon_url": "catalog_icon_url", "tags": ["tags"], "url": "url", "crn": "crn", "offerings_url": "offerings_url", "features": [{"title": "title", "description": "description"}], "disabled": true, "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "resource_group_id": "resource_group_id", "owning_account": "owning_account", "catalog_filters": {"include_all": false, "category_filters": {"mapKey": {"include": false, "filter": {"filter_terms": ["filter_terms"]}}}, "id_filters": {"include": {"filter_terms": ["filter_terms"]}, "exclude": {"filter_terms": ["filter_terms"]}}}, "syndication_settings": {"remove_related_components": false, "clusters": [{"region": "region", "id": "id", "name": "name", "resource_group_name": "resource_group_name", "type": "type", "namespaces": ["namespaces"], "all_namespaces": true}], "history": {"namespaces": ["namespaces"], "clusters": [{"region": "region", "id": "id", "name": "name", "resource_group_name": "resource_group_name", "type": "type", "namespaces": ["namespaces"], "all_namespaces": true}], "last_run": "2019-01-01T12:00:00"}, "authorization": {"token": "token", "last_run": "2019-01-01T12:00:00"}}}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=200) # Construct a dict representation of a Rating model rating_model = {} rating_model['one_star_count'] = 38 rating_model['two_star_count'] = 38 rating_model['three_star_count'] = 38 rating_model['four_star_count'] = 38 # Construct a dict representation of a Feature model feature_model = {} feature_model['title'] = 'testString' feature_model['description'] = 'testString' # Construct a dict representation of a Configuration model configuration_model = {} configuration_model['key'] = 'testString' configuration_model['type'] = 'testString' configuration_model['default_value'] = { 'foo': 'bar' } configuration_model['value_constraint'] = 'testString' configuration_model['description'] = 'testString' configuration_model['required'] = True configuration_model['options'] = [{ 'foo': 'bar' }] configuration_model['hidden'] = True # Construct a dict representation of a Deployment model deployment_model = {} deployment_model['id'] = 'testString' deployment_model['label'] = 'testString' deployment_model['name'] = 'testString' deployment_model['short_description'] = 'testString' deployment_model['long_description'] = 'testString' deployment_model['metadata'] = { 'foo': 'bar' } deployment_model['tags'] = ['testString'] deployment_model['created'] = '2020-01-28T18:40:40.123456Z' deployment_model['updated'] = '2020-01-28T18:40:40.123456Z' # Construct a dict representation of a License model license_model = {} license_model['id'] = 'testString' license_model['name'] = 'testString' license_model['type'] = 'testString' license_model['url'] = 'testString' license_model['description'] = 'testString' # Construct a dict representation of a Resource model resource_model = {} resource_model['type'] = 'mem' resource_model['value'] = { 'foo': 'bar' } # Construct a dict representation of a Script model script_model = {} script_model['instructions'] = 'testString' script_model['script'] = 'testString' script_model['script_permission'] = 'testString' script_model['delete_script'] = 'testString' script_model['scope'] = 'testString' # Construct a dict representation of a State model state_model = {} state_model['current'] = 'testString' state_model['current_entered'] = '2020-01-28T18:40:40.123456Z' state_model['pending'] = 'testString' state_model['pending_requested'] = '2020-01-28T18:40:40.123456Z' state_model['previous'] = 'testString' # Construct a dict representation of a Validation model validation_model = {} validation_model['validated'] = '2020-01-28T18:40:40.123456Z' validation_model['requested'] = '2020-01-28T18:40:40.123456Z' validation_model['state'] = 'testString' validation_model['last_operation'] = 'testString' validation_model['target'] = { 'foo': 'bar' } # Construct a dict representation of a VersionEntitlement model version_entitlement_model = {} version_entitlement_model['provider_name'] = 'testString' version_entitlement_model['provider_id'] = 'testString' version_entitlement_model['product_id'] = 'testString' version_entitlement_model['part_numbers'] = ['testString'] version_entitlement_model['image_repo_name'] = 'testString' # Construct a dict representation of a Plan model plan_model = {} plan_model['id'] = 'testString' plan_model['label'] = 'testString' plan_model['name'] = 'testString' plan_model['short_description'] = 'testString' plan_model['long_description'] = 'testString' plan_model['metadata'] = { 'foo': 'bar' } plan_model['tags'] = ['testString'] plan_model['additional_features'] = [feature_model] plan_model['created'] = '2020-01-28T18:40:40.123456Z' plan_model['updated'] = '2020-01-28T18:40:40.123456Z' plan_model['deployments'] = [deployment_model] # Construct a dict representation of a Version model version_model = {} version_model['id'] = 'testString' version_model['_rev'] = 'testString' version_model['crn'] = 'testString' version_model['version'] = 'testString' version_model['sha'] = 'testString' version_model['created'] = '2020-01-28T18:40:40.123456Z' version_model['updated'] = '2020-01-28T18:40:40.123456Z' version_model['offering_id'] = 'testString' version_model['catalog_id'] = 'testString' version_model['kind_id'] = 'testString' version_model['tags'] = ['testString'] version_model['repo_url'] = 'testString' version_model['source_url'] = 'testString' version_model['tgz_url'] = 'testString' version_model['configuration'] = [configuration_model] version_model['metadata'] = { 'foo': 'bar' } version_model['validation'] = validation_model version_model['required_resources'] = [resource_model] version_model['single_instance'] = True version_model['install'] = script_model version_model['pre_install'] = [script_model] version_model['entitlement'] = version_entitlement_model version_model['licenses'] = [license_model] version_model['image_manifest_url'] = 'testString' version_model['deprecated'] = True version_model['package_version'] = 'testString' version_model['state'] = state_model version_model['version_locator'] = 'testString' version_model['console_url'] = 'testString' version_model['long_description'] = 'testString' version_model['whitelisted_accounts'] = ['testString'] # Construct a dict representation of a Kind model kind_model = {} kind_model['id'] = 'testString' kind_model['format_kind'] = 'testString' kind_model['target_kind'] = 'testString' kind_model['metadata'] = { 'foo': 'bar' } kind_model['install_description'] = 'testString' kind_model['tags'] = ['testString'] kind_model['additional_features'] = [feature_model] kind_model['created'] = '2020-01-28T18:40:40.123456Z' kind_model['updated'] = '2020-01-28T18:40:40.123456Z' kind_model['versions'] = [version_model] kind_model['plans'] = [plan_model] # Construct a dict representation of a RepoInfo model repo_info_model = {} repo_info_model['token'] = 'testString' repo_info_model['type'] = 'testString' # Set up parameter values catalog_identifier = 'testString' offering_id = 'testString' id = 'testString' rev = 'testString' url = 'testString' crn = 'testString' label = 'testString' name = 'testString' offering_icon_url = 'testString' offering_docs_url = 'testString' offering_support_url = 'testString' tags = ['testString'] rating = rating_model created = datetime.fromtimestamp(1580236840.123456, timezone.utc) updated = datetime.fromtimestamp(1580236840.123456, timezone.utc) short_description = 'testString' long_description = 'testString' features = [feature_model] kinds = [kind_model] permit_request_ibm_public_publish = True ibm_publish_approved = True public_publish_approved = True public_original_crn = 'testString' publish_public_crn = 'testString' portal_approval_record = 'testString' portal_ui_url = 'testString' catalog_id = 'testString' catalog_name = 'testString' metadata = { 'foo': 'bar' } disclaimer = 'testString' hidden = True provider = 'testString' repo_info = repo_info_model # Invoke method response = service.replace_offering( catalog_identifier, offering_id, id=id, rev=rev, url=url, crn=crn, label=label, name=name, offering_icon_url=offering_icon_url, offering_docs_url=offering_docs_url, offering_support_url=offering_support_url, tags=tags, rating=rating, created=created, updated=updated, short_description=short_description, long_description=long_description, features=features, kinds=kinds, permit_request_ibm_public_publish=permit_request_ibm_public_publish, ibm_publish_approved=ibm_publish_approved, public_publish_approved=public_publish_approved, public_original_crn=public_original_crn, publish_public_crn=publish_public_crn, portal_approval_record=portal_approval_record, portal_ui_url=portal_ui_url, catalog_id=catalog_id, catalog_name=catalog_name, metadata=metadata, disclaimer=disclaimer, hidden=hidden, provider=provider, repo_info=repo_info, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['id'] == 'testString' assert req_body['_rev'] == 'testString' assert req_body['url'] == 'testString' assert req_body['crn'] == 'testString' assert req_body['label'] == 'testString' assert req_body['name'] == 'testString' assert req_body['offering_icon_url'] == 'testString' assert req_body['offering_docs_url'] == 'testString' assert req_body['offering_support_url'] == 'testString' assert req_body['tags'] == ['testString'] assert req_body['rating'] == rating_model assert req_body['created'] == '2020-01-28T18:40:40.123456Z' assert req_body['updated'] == '2020-01-28T18:40:40.123456Z' assert req_body['short_description'] == 'testString' assert req_body['long_description'] == 'testString' assert req_body['features'] == [feature_model] assert req_body['kinds'] == [kind_model] assert req_body['permit_request_ibm_public_publish'] == True assert req_body['ibm_publish_approved'] == True assert req_body['public_publish_approved'] == True assert req_body['public_original_crn'] == 'testString' assert req_body['publish_public_crn'] == 'testString' assert req_body['portal_approval_record'] == 'testString' assert req_body['portal_ui_url'] == 'testString' assert req_body['catalog_id'] == 'testString' assert req_body['catalog_name'] == 'testString' assert req_body['metadata'] == { 'foo': 'bar' } assert req_body['disclaimer'] == 'testString' assert req_body['hidden'] == True assert req_body['provider'] == 'testString' assert req_body['repo_info'] == repo_info_model #-------------------------------------------------------- # test_replace_offering_required_params() #-------------------------------------------------------- @responses.activate def test_replace_offering_required_params(self): # Set up mock url = self.preprocess_url(base_url + '/catalogs/testString/offerings/testString') mock_response = '{"id": "id", "_rev": "rev", "label": "label", "short_description": "short_description", "catalog_icon_url": "catalog_icon_url", "tags": ["tags"], "url": "url", "crn": "crn", "offerings_url": "offerings_url", "features": [{"title": "title", "description": "description"}], "disabled": true, "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "resource_group_id": "resource_group_id", "owning_account": "owning_account", "catalog_filters": {"include_all": false, "category_filters": {"mapKey": {"include": false, "filter": {"filter_terms": ["filter_terms"]}}}, "id_filters": {"include": {"filter_terms": ["filter_terms"]}, "exclude": {"filter_terms": ["filter_terms"]}}}, "syndication_settings": {"remove_related_components": false, "clusters": [{"region": "region", "id": "id", "name": "name", "resource_group_name": "resource_group_name", "type": "type", "namespaces": ["namespaces"], "all_namespaces": true}], "history": {"namespaces": ["namespaces"], "clusters": [{"region": "region", "id": "id", "name": "name", "resource_group_name": "resource_group_name", "type": "type", "namespaces": ["namespaces"], "all_namespaces": true}], "last_run": "2019-01-01T12:00:00"}, "authorization": {"token": "token", "last_run": "2019-01-01T12:00:00"}}}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values catalog_identifier = 'testString' offering_id = 'testString' # Invoke method response = service.replace_offering( catalog_identifier, offering_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 #-------------------------------------------------------- # test_replace_offering_value_error() #-------------------------------------------------------- @responses.activate def test_replace_offering_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/catalogs/testString/offerings/testString') mock_response = '{"id": "id", "_rev": "rev", "label": "label", "short_description": "short_description", "catalog_icon_url": "catalog_icon_url", "tags": ["tags"], "url": "url", "crn": "crn", "offerings_url": "offerings_url", "features": [{"title": "title", "description": "description"}], "disabled": true, "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "resource_group_id": "resource_group_id", "owning_account": "owning_account", "catalog_filters": {"include_all": false, "category_filters": {"mapKey": {"include": false, "filter": {"filter_terms": ["filter_terms"]}}}, "id_filters": {"include": {"filter_terms": ["filter_terms"]}, "exclude": {"filter_terms": ["filter_terms"]}}}, "syndication_settings": {"remove_related_components": false, "clusters": [{"region": "region", "id": "id", "name": "name", "resource_group_name": "resource_group_name", "type": "type", "namespaces": ["namespaces"], "all_namespaces": true}], "history": {"namespaces": ["namespaces"], "clusters": [{"region": "region", "id": "id", "name": "name", "resource_group_name": "resource_group_name", "type": "type", "namespaces": ["namespaces"], "all_namespaces": true}], "last_run": "2019-01-01T12:00:00"}, "authorization": {"token": "token", "last_run": "2019-01-01T12:00:00"}}}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values catalog_identifier = 'testString' offering_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "catalog_identifier": catalog_identifier, "offering_id": offering_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.replace_offering(**req_copy) #----------------------------------------------------------------------------- # Test Class for delete_offering #----------------------------------------------------------------------------- class TestDeleteOffering(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # delete_offering() #-------------------------------------------------------- @responses.activate def test_delete_offering_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/catalogs/testString/offerings/testString') responses.add(responses.DELETE, url, status=200) # Set up parameter values catalog_identifier = 'testString' offering_id = 'testString' # Invoke method response = service.delete_offering( catalog_identifier, offering_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 #-------------------------------------------------------- # test_delete_offering_value_error() #-------------------------------------------------------- @responses.activate def test_delete_offering_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/catalogs/testString/offerings/testString') responses.add(responses.DELETE, url, status=200) # Set up parameter values catalog_identifier = 'testString' offering_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "catalog_identifier": catalog_identifier, "offering_id": offering_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.delete_offering(**req_copy) #----------------------------------------------------------------------------- # Test Class for replace_offering_icon #----------------------------------------------------------------------------- class TestReplaceOfferingIcon(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # replace_offering_icon() #-------------------------------------------------------- @responses.activate def test_replace_offering_icon_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/catalogs/testString/offerings/testString/icon/testString') mock_response = '{"id": "id", "_rev": "rev", "url": "url", "crn": "crn", "label": "label", "name": "name", "offering_icon_url": "offering_icon_url", "offering_docs_url": "offering_docs_url", "offering_support_url": "offering_support_url", "tags": ["tags"], "rating": {"one_star_count": 14, "two_star_count": 14, "three_star_count": 16, "four_star_count": 15}, "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "short_description": "short_description", "long_description": "long_description", "features": [{"title": "title", "description": "description"}], "kinds": [{"id": "id", "format_kind": "format_kind", "target_kind": "target_kind", "metadata": {"anyKey": "anyValue"}, "install_description": "install_description", "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "versions": [{"id": "id", "_rev": "rev", "crn": "crn", "version": "version", "sha": "sha", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "offering_id": "offering_id", "catalog_id": "catalog_id", "kind_id": "kind_id", "tags": ["tags"], "repo_url": "repo_url", "source_url": "source_url", "tgz_url": "tgz_url", "configuration": [{"key": "key", "type": "type", "default_value": {"anyKey": "anyValue"}, "value_constraint": "value_constraint", "description": "description", "required": true, "options": [{"anyKey": "anyValue"}], "hidden": true}], "metadata": {"anyKey": "anyValue"}, "validation": {"validated": "2019-01-01T12:00:00", "requested": "2019-01-01T12:00:00", "state": "state", "last_operation": "last_operation", "target": {"anyKey": "anyValue"}}, "required_resources": [{"type": "mem", "value": {"anyKey": "anyValue"}}], "single_instance": false, "install": {"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}, "pre_install": [{"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}], "entitlement": {"provider_name": "provider_name", "provider_id": "provider_id", "product_id": "product_id", "part_numbers": ["part_numbers"], "image_repo_name": "image_repo_name"}, "licenses": [{"id": "id", "name": "name", "type": "type", "url": "url", "description": "description"}], "image_manifest_url": "image_manifest_url", "deprecated": true, "package_version": "package_version", "state": {"current": "current", "current_entered": "2019-01-01T12:00:00", "pending": "pending", "pending_requested": "2019-01-01T12:00:00", "previous": "previous"}, "version_locator": "version_locator", "console_url": "console_url", "long_description": "long_description", "whitelisted_accounts": ["whitelisted_accounts"]}], "plans": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "deployments": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00"}]}]}], "permit_request_ibm_public_publish": false, "ibm_publish_approved": true, "public_publish_approved": false, "public_original_crn": "public_original_crn", "publish_public_crn": "publish_public_crn", "portal_approval_record": "portal_approval_record", "portal_ui_url": "portal_ui_url", "catalog_id": "catalog_id", "catalog_name": "catalog_name", "metadata": {"anyKey": "anyValue"}, "disclaimer": "disclaimer", "hidden": true, "provider": "provider", "repo_info": {"token": "token", "type": "type"}}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values catalog_identifier = 'testString' offering_id = 'testString' file_name = 'testString' # Invoke method response = service.replace_offering_icon( catalog_identifier, offering_id, file_name, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 #-------------------------------------------------------- # test_replace_offering_icon_value_error() #-------------------------------------------------------- @responses.activate def test_replace_offering_icon_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/catalogs/testString/offerings/testString/icon/testString') mock_response = '{"id": "id", "_rev": "rev", "url": "url", "crn": "crn", "label": "label", "name": "name", "offering_icon_url": "offering_icon_url", "offering_docs_url": "offering_docs_url", "offering_support_url": "offering_support_url", "tags": ["tags"], "rating": {"one_star_count": 14, "two_star_count": 14, "three_star_count": 16, "four_star_count": 15}, "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "short_description": "short_description", "long_description": "long_description", "features": [{"title": "title", "description": "description"}], "kinds": [{"id": "id", "format_kind": "format_kind", "target_kind": "target_kind", "metadata": {"anyKey": "anyValue"}, "install_description": "install_description", "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "versions": [{"id": "id", "_rev": "rev", "crn": "crn", "version": "version", "sha": "sha", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "offering_id": "offering_id", "catalog_id": "catalog_id", "kind_id": "kind_id", "tags": ["tags"], "repo_url": "repo_url", "source_url": "source_url", "tgz_url": "tgz_url", "configuration": [{"key": "key", "type": "type", "default_value": {"anyKey": "anyValue"}, "value_constraint": "value_constraint", "description": "description", "required": true, "options": [{"anyKey": "anyValue"}], "hidden": true}], "metadata": {"anyKey": "anyValue"}, "validation": {"validated": "2019-01-01T12:00:00", "requested": "2019-01-01T12:00:00", "state": "state", "last_operation": "last_operation", "target": {"anyKey": "anyValue"}}, "required_resources": [{"type": "mem", "value": {"anyKey": "anyValue"}}], "single_instance": false, "install": {"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}, "pre_install": [{"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}], "entitlement": {"provider_name": "provider_name", "provider_id": "provider_id", "product_id": "product_id", "part_numbers": ["part_numbers"], "image_repo_name": "image_repo_name"}, "licenses": [{"id": "id", "name": "name", "type": "type", "url": "url", "description": "description"}], "image_manifest_url": "image_manifest_url", "deprecated": true, "package_version": "package_version", "state": {"current": "current", "current_entered": "2019-01-01T12:00:00", "pending": "pending", "pending_requested": "2019-01-01T12:00:00", "previous": "previous"}, "version_locator": "version_locator", "console_url": "console_url", "long_description": "long_description", "whitelisted_accounts": ["whitelisted_accounts"]}], "plans": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "deployments": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00"}]}]}], "permit_request_ibm_public_publish": false, "ibm_publish_approved": true, "public_publish_approved": false, "public_original_crn": "public_original_crn", "publish_public_crn": "publish_public_crn", "portal_approval_record": "portal_approval_record", "portal_ui_url": "portal_ui_url", "catalog_id": "catalog_id", "catalog_name": "catalog_name", "metadata": {"anyKey": "anyValue"}, "disclaimer": "disclaimer", "hidden": true, "provider": "provider", "repo_info": {"token": "token", "type": "type"}}' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values catalog_identifier = 'testString' offering_id = 'testString' file_name = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "catalog_identifier": catalog_identifier, "offering_id": offering_id, "file_name": file_name, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.replace_offering_icon(**req_copy) #----------------------------------------------------------------------------- # Test Class for update_offering_ibm #----------------------------------------------------------------------------- class TestUpdateOfferingIbm(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # update_offering_ibm() #-------------------------------------------------------- @responses.activate def test_update_offering_ibm_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/catalogs/testString/offerings/testString/publish/ibm/true') mock_response = '{"ibm": false, "public": true, "changed": false}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values catalog_identifier = 'testString' offering_id = 'testString' approval_type = 'ibm' approved = 'true' # Invoke method response = service.update_offering_ibm( catalog_identifier, offering_id, approval_type, approved, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 #-------------------------------------------------------- # test_update_offering_ibm_value_error() #-------------------------------------------------------- @responses.activate def test_update_offering_ibm_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/catalogs/testString/offerings/testString/publish/ibm/true') mock_response = '{"ibm": false, "public": true, "changed": false}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values catalog_identifier = 'testString' offering_id = 'testString' approval_type = 'ibm' approved = 'true' # Pass in all but one required param and check for a ValueError req_param_dict = { "catalog_identifier": catalog_identifier, "offering_id": offering_id, "approval_type": approval_type, "approved": approved, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.update_offering_ibm(**req_copy) # endregion ############################################################################## # End of Service: Offerings ############################################################################## ############################################################################## # Start of Service: Versions ############################################################################## # region #----------------------------------------------------------------------------- # Test Class for get_version_about #----------------------------------------------------------------------------- class TestGetVersionAbout(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # get_version_about() #-------------------------------------------------------- @responses.activate def test_get_version_about_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/about') mock_response = '"operation_response"' responses.add(responses.GET, url, body=mock_response, content_type='text/markdown', status=200) # Set up parameter values version_loc_id = 'testString' # Invoke method response = service.get_version_about( version_loc_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 #-------------------------------------------------------- # test_get_version_about_value_error() #-------------------------------------------------------- @responses.activate def test_get_version_about_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/about') mock_response = '"operation_response"' responses.add(responses.GET, url, body=mock_response, content_type='text/markdown', status=200) # Set up parameter values version_loc_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "version_loc_id": version_loc_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.get_version_about(**req_copy) #----------------------------------------------------------------------------- # Test Class for get_version_license #----------------------------------------------------------------------------- class TestGetVersionLicense(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # get_version_license() #-------------------------------------------------------- @responses.activate def test_get_version_license_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/licenses/testString') responses.add(responses.GET, url, status=200) # Set up parameter values version_loc_id = 'testString' license_id = 'testString' # Invoke method response = service.get_version_license( version_loc_id, license_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 #-------------------------------------------------------- # test_get_version_license_value_error() #-------------------------------------------------------- @responses.activate def test_get_version_license_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/licenses/testString') responses.add(responses.GET, url, status=200) # Set up parameter values version_loc_id = 'testString' license_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "version_loc_id": version_loc_id, "license_id": license_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.get_version_license(**req_copy) #----------------------------------------------------------------------------- # Test Class for get_version_container_images #----------------------------------------------------------------------------- class TestGetVersionContainerImages(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # get_version_container_images() #-------------------------------------------------------- @responses.activate def test_get_version_container_images_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/containerImages') mock_response = '{"description": "description", "images": [{"image": "image"}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values version_loc_id = 'testString' # Invoke method response = service.get_version_container_images( version_loc_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 #-------------------------------------------------------- # test_get_version_container_images_value_error() #-------------------------------------------------------- @responses.activate def test_get_version_container_images_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/containerImages') mock_response = '{"description": "description", "images": [{"image": "image"}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values version_loc_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "version_loc_id": version_loc_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.get_version_container_images(**req_copy) #----------------------------------------------------------------------------- # Test Class for deprecate_version #----------------------------------------------------------------------------- class TestDeprecateVersion(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # deprecate_version() #-------------------------------------------------------- @responses.activate def test_deprecate_version_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/deprecate') responses.add(responses.POST, url, status=202) # Set up parameter values version_loc_id = 'testString' # Invoke method response = service.deprecate_version( version_loc_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 202 #-------------------------------------------------------- # test_deprecate_version_value_error() #-------------------------------------------------------- @responses.activate def test_deprecate_version_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/deprecate') responses.add(responses.POST, url, status=202) # Set up parameter values version_loc_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "version_loc_id": version_loc_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.deprecate_version(**req_copy) #----------------------------------------------------------------------------- # Test Class for account_publish_version #----------------------------------------------------------------------------- class TestAccountPublishVersion(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # account_publish_version() #-------------------------------------------------------- @responses.activate def test_account_publish_version_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/account-publish') responses.add(responses.POST, url, status=202) # Set up parameter values version_loc_id = 'testString' # Invoke method response = service.account_publish_version( version_loc_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 202 #-------------------------------------------------------- # test_account_publish_version_value_error() #-------------------------------------------------------- @responses.activate def test_account_publish_version_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/account-publish') responses.add(responses.POST, url, status=202) # Set up parameter values version_loc_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "version_loc_id": version_loc_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.account_publish_version(**req_copy) #----------------------------------------------------------------------------- # Test Class for ibm_publish_version #----------------------------------------------------------------------------- class TestIbmPublishVersion(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # ibm_publish_version() #-------------------------------------------------------- @responses.activate def test_ibm_publish_version_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/ibm-publish') responses.add(responses.POST, url, status=202) # Set up parameter values version_loc_id = 'testString' # Invoke method response = service.ibm_publish_version( version_loc_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 202 #-------------------------------------------------------- # test_ibm_publish_version_value_error() #-------------------------------------------------------- @responses.activate def test_ibm_publish_version_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/ibm-publish') responses.add(responses.POST, url, status=202) # Set up parameter values version_loc_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "version_loc_id": version_loc_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.ibm_publish_version(**req_copy) #----------------------------------------------------------------------------- # Test Class for public_publish_version #----------------------------------------------------------------------------- class TestPublicPublishVersion(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # public_publish_version() #-------------------------------------------------------- @responses.activate def test_public_publish_version_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/public-publish') responses.add(responses.POST, url, status=202) # Set up parameter values version_loc_id = 'testString' # Invoke method response = service.public_publish_version( version_loc_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 202 #-------------------------------------------------------- # test_public_publish_version_value_error() #-------------------------------------------------------- @responses.activate def test_public_publish_version_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/public-publish') responses.add(responses.POST, url, status=202) # Set up parameter values version_loc_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "version_loc_id": version_loc_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.public_publish_version(**req_copy) #----------------------------------------------------------------------------- # Test Class for commit_version #----------------------------------------------------------------------------- class TestCommitVersion(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # commit_version() #-------------------------------------------------------- @responses.activate def test_commit_version_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/commit') responses.add(responses.POST, url, status=200) # Set up parameter values version_loc_id = 'testString' # Invoke method response = service.commit_version( version_loc_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 #-------------------------------------------------------- # test_commit_version_value_error() #-------------------------------------------------------- @responses.activate def test_commit_version_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/commit') responses.add(responses.POST, url, status=200) # Set up parameter values version_loc_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "version_loc_id": version_loc_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.commit_version(**req_copy) #----------------------------------------------------------------------------- # Test Class for get_version_working_copy #----------------------------------------------------------------------------- class TestGetVersionWorkingCopy(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # get_version_working_copy() #-------------------------------------------------------- @responses.activate def test_get_version_working_copy_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/workingcopy') mock_response = '{"id": "id", "_rev": "rev", "crn": "crn", "version": "version", "sha": "sha", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "offering_id": "offering_id", "catalog_id": "catalog_id", "kind_id": "kind_id", "tags": ["tags"], "repo_url": "repo_url", "source_url": "source_url", "tgz_url": "tgz_url", "configuration": [{"key": "key", "type": "type", "default_value": {"anyKey": "anyValue"}, "value_constraint": "value_constraint", "description": "description", "required": true, "options": [{"anyKey": "anyValue"}], "hidden": true}], "metadata": {"anyKey": "anyValue"}, "validation": {"validated": "2019-01-01T12:00:00", "requested": "2019-01-01T12:00:00", "state": "state", "last_operation": "last_operation", "target": {"anyKey": "anyValue"}}, "required_resources": [{"type": "mem", "value": {"anyKey": "anyValue"}}], "single_instance": false, "install": {"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}, "pre_install": [{"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}], "entitlement": {"provider_name": "provider_name", "provider_id": "provider_id", "product_id": "product_id", "part_numbers": ["part_numbers"], "image_repo_name": "image_repo_name"}, "licenses": [{"id": "id", "name": "name", "type": "type", "url": "url", "description": "description"}], "image_manifest_url": "image_manifest_url", "deprecated": true, "package_version": "package_version", "state": {"current": "current", "current_entered": "2019-01-01T12:00:00", "pending": "pending", "pending_requested": "2019-01-01T12:00:00", "previous": "previous"}, "version_locator": "version_locator", "console_url": "console_url", "long_description": "long_description", "whitelisted_accounts": ["whitelisted_accounts"]}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values version_loc_id = 'testString' # Invoke method response = service.get_version_working_copy( version_loc_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 #-------------------------------------------------------- # test_get_version_working_copy_value_error() #-------------------------------------------------------- @responses.activate def test_get_version_working_copy_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/workingcopy') mock_response = '{"id": "id", "_rev": "rev", "crn": "crn", "version": "version", "sha": "sha", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "offering_id": "offering_id", "catalog_id": "catalog_id", "kind_id": "kind_id", "tags": ["tags"], "repo_url": "repo_url", "source_url": "source_url", "tgz_url": "tgz_url", "configuration": [{"key": "key", "type": "type", "default_value": {"anyKey": "anyValue"}, "value_constraint": "value_constraint", "description": "description", "required": true, "options": [{"anyKey": "anyValue"}], "hidden": true}], "metadata": {"anyKey": "anyValue"}, "validation": {"validated": "2019-01-01T12:00:00", "requested": "2019-01-01T12:00:00", "state": "state", "last_operation": "last_operation", "target": {"anyKey": "anyValue"}}, "required_resources": [{"type": "mem", "value": {"anyKey": "anyValue"}}], "single_instance": false, "install": {"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}, "pre_install": [{"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}], "entitlement": {"provider_name": "provider_name", "provider_id": "provider_id", "product_id": "product_id", "part_numbers": ["part_numbers"], "image_repo_name": "image_repo_name"}, "licenses": [{"id": "id", "name": "name", "type": "type", "url": "url", "description": "description"}], "image_manifest_url": "image_manifest_url", "deprecated": true, "package_version": "package_version", "state": {"current": "current", "current_entered": "2019-01-01T12:00:00", "pending": "pending", "pending_requested": "2019-01-01T12:00:00", "previous": "previous"}, "version_locator": "version_locator", "console_url": "console_url", "long_description": "long_description", "whitelisted_accounts": ["whitelisted_accounts"]}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values version_loc_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "version_loc_id": version_loc_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.get_version_working_copy(**req_copy) #----------------------------------------------------------------------------- # Test Class for get_version_updates #----------------------------------------------------------------------------- class TestGetVersionUpdates(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # get_version_updates() #-------------------------------------------------------- @responses.activate def test_get_version_updates_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/updates') mock_response = '[{"version_locator": "version_locator", "version": "version", "state": {"current": "current", "current_entered": "2019-01-01T12:00:00", "pending": "pending", "pending_requested": "2019-01-01T12:00:00", "previous": "previous"}, "required_resources": [{"type": "mem", "value": {"anyKey": "anyValue"}}], "package_version": "package_version", "can_update": true, "messages": {"anyKey": "anyValue"}}]' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values version_loc_id = 'testString' cluster_id = 'testString' region = 'testString' resource_group_id = 'testString' namespace = 'testString' # Invoke method response = service.get_version_updates( version_loc_id, cluster_id=cluster_id, region=region, resource_group_id=resource_group_id, namespace=namespace, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = requests.utils.unquote(query_string) assert 'cluster_id={}'.format(cluster_id) in query_string assert 'region={}'.format(region) in query_string assert 'resource_group_id={}'.format(resource_group_id) in query_string assert 'namespace={}'.format(namespace) in query_string #-------------------------------------------------------- # test_get_version_updates_required_params() #-------------------------------------------------------- @responses.activate def test_get_version_updates_required_params(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/updates') mock_response = '[{"version_locator": "version_locator", "version": "version", "state": {"current": "current", "current_entered": "2019-01-01T12:00:00", "pending": "pending", "pending_requested": "2019-01-01T12:00:00", "previous": "previous"}, "required_resources": [{"type": "mem", "value": {"anyKey": "anyValue"}}], "package_version": "package_version", "can_update": true, "messages": {"anyKey": "anyValue"}}]' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values version_loc_id = 'testString' # Invoke method response = service.get_version_updates( version_loc_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 #-------------------------------------------------------- # test_get_version_updates_value_error() #-------------------------------------------------------- @responses.activate def test_get_version_updates_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/updates') mock_response = '[{"version_locator": "version_locator", "version": "version", "state": {"current": "current", "current_entered": "2019-01-01T12:00:00", "pending": "pending", "pending_requested": "2019-01-01T12:00:00", "previous": "previous"}, "required_resources": [{"type": "mem", "value": {"anyKey": "anyValue"}}], "package_version": "package_version", "can_update": true, "messages": {"anyKey": "anyValue"}}]' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values version_loc_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "version_loc_id": version_loc_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.get_version_updates(**req_copy) #----------------------------------------------------------------------------- # Test Class for get_version #----------------------------------------------------------------------------- class TestGetVersion(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # get_version() #-------------------------------------------------------- @responses.activate def test_get_version_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString') mock_response = '{"id": "id", "_rev": "rev", "url": "url", "crn": "crn", "label": "label", "name": "name", "offering_icon_url": "offering_icon_url", "offering_docs_url": "offering_docs_url", "offering_support_url": "offering_support_url", "tags": ["tags"], "rating": {"one_star_count": 14, "two_star_count": 14, "three_star_count": 16, "four_star_count": 15}, "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "short_description": "short_description", "long_description": "long_description", "features": [{"title": "title", "description": "description"}], "kinds": [{"id": "id", "format_kind": "format_kind", "target_kind": "target_kind", "metadata": {"anyKey": "anyValue"}, "install_description": "install_description", "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "versions": [{"id": "id", "_rev": "rev", "crn": "crn", "version": "version", "sha": "sha", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "offering_id": "offering_id", "catalog_id": "catalog_id", "kind_id": "kind_id", "tags": ["tags"], "repo_url": "repo_url", "source_url": "source_url", "tgz_url": "tgz_url", "configuration": [{"key": "key", "type": "type", "default_value": {"anyKey": "anyValue"}, "value_constraint": "value_constraint", "description": "description", "required": true, "options": [{"anyKey": "anyValue"}], "hidden": true}], "metadata": {"anyKey": "anyValue"}, "validation": {"validated": "2019-01-01T12:00:00", "requested": "2019-01-01T12:00:00", "state": "state", "last_operation": "last_operation", "target": {"anyKey": "anyValue"}}, "required_resources": [{"type": "mem", "value": {"anyKey": "anyValue"}}], "single_instance": false, "install": {"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}, "pre_install": [{"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}], "entitlement": {"provider_name": "provider_name", "provider_id": "provider_id", "product_id": "product_id", "part_numbers": ["part_numbers"], "image_repo_name": "image_repo_name"}, "licenses": [{"id": "id", "name": "name", "type": "type", "url": "url", "description": "description"}], "image_manifest_url": "image_manifest_url", "deprecated": true, "package_version": "package_version", "state": {"current": "current", "current_entered": "2019-01-01T12:00:00", "pending": "pending", "pending_requested": "2019-01-01T12:00:00", "previous": "previous"}, "version_locator": "version_locator", "console_url": "console_url", "long_description": "long_description", "whitelisted_accounts": ["whitelisted_accounts"]}], "plans": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "deployments": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00"}]}]}], "permit_request_ibm_public_publish": false, "ibm_publish_approved": true, "public_publish_approved": false, "public_original_crn": "public_original_crn", "publish_public_crn": "publish_public_crn", "portal_approval_record": "portal_approval_record", "portal_ui_url": "portal_ui_url", "catalog_id": "catalog_id", "catalog_name": "catalog_name", "metadata": {"anyKey": "anyValue"}, "disclaimer": "disclaimer", "hidden": true, "provider": "provider", "repo_info": {"token": "token", "type": "type"}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values version_loc_id = 'testString' # Invoke method response = service.get_version( version_loc_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 #-------------------------------------------------------- # test_get_version_value_error() #-------------------------------------------------------- @responses.activate def test_get_version_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString') mock_response = '{"id": "id", "_rev": "rev", "url": "url", "crn": "crn", "label": "label", "name": "name", "offering_icon_url": "offering_icon_url", "offering_docs_url": "offering_docs_url", "offering_support_url": "offering_support_url", "tags": ["tags"], "rating": {"one_star_count": 14, "two_star_count": 14, "three_star_count": 16, "four_star_count": 15}, "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "short_description": "short_description", "long_description": "long_description", "features": [{"title": "title", "description": "description"}], "kinds": [{"id": "id", "format_kind": "format_kind", "target_kind": "target_kind", "metadata": {"anyKey": "anyValue"}, "install_description": "install_description", "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "versions": [{"id": "id", "_rev": "rev", "crn": "crn", "version": "version", "sha": "sha", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "offering_id": "offering_id", "catalog_id": "catalog_id", "kind_id": "kind_id", "tags": ["tags"], "repo_url": "repo_url", "source_url": "source_url", "tgz_url": "tgz_url", "configuration": [{"key": "key", "type": "type", "default_value": {"anyKey": "anyValue"}, "value_constraint": "value_constraint", "description": "description", "required": true, "options": [{"anyKey": "anyValue"}], "hidden": true}], "metadata": {"anyKey": "anyValue"}, "validation": {"validated": "2019-01-01T12:00:00", "requested": "2019-01-01T12:00:00", "state": "state", "last_operation": "last_operation", "target": {"anyKey": "anyValue"}}, "required_resources": [{"type": "mem", "value": {"anyKey": "anyValue"}}], "single_instance": false, "install": {"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}, "pre_install": [{"instructions": "instructions", "script": "script", "script_permission": "script_permission", "delete_script": "delete_script", "scope": "scope"}], "entitlement": {"provider_name": "provider_name", "provider_id": "provider_id", "product_id": "product_id", "part_numbers": ["part_numbers"], "image_repo_name": "image_repo_name"}, "licenses": [{"id": "id", "name": "name", "type": "type", "url": "url", "description": "description"}], "image_manifest_url": "image_manifest_url", "deprecated": true, "package_version": "package_version", "state": {"current": "current", "current_entered": "2019-01-01T12:00:00", "pending": "pending", "pending_requested": "2019-01-01T12:00:00", "previous": "previous"}, "version_locator": "version_locator", "console_url": "console_url", "long_description": "long_description", "whitelisted_accounts": ["whitelisted_accounts"]}], "plans": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "additional_features": [{"title": "title", "description": "description"}], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "deployments": [{"id": "id", "label": "label", "name": "name", "short_description": "short_description", "long_description": "long_description", "metadata": {"anyKey": "anyValue"}, "tags": ["tags"], "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00"}]}]}], "permit_request_ibm_public_publish": false, "ibm_publish_approved": true, "public_publish_approved": false, "public_original_crn": "public_original_crn", "publish_public_crn": "publish_public_crn", "portal_approval_record": "portal_approval_record", "portal_ui_url": "portal_ui_url", "catalog_id": "catalog_id", "catalog_name": "catalog_name", "metadata": {"anyKey": "anyValue"}, "disclaimer": "disclaimer", "hidden": true, "provider": "provider", "repo_info": {"token": "token", "type": "type"}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values version_loc_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "version_loc_id": version_loc_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.get_version(**req_copy) #----------------------------------------------------------------------------- # Test Class for delete_version #----------------------------------------------------------------------------- class TestDeleteVersion(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # delete_version() #-------------------------------------------------------- @responses.activate def test_delete_version_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString') responses.add(responses.DELETE, url, status=200) # Set up parameter values version_loc_id = 'testString' # Invoke method response = service.delete_version( version_loc_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 #-------------------------------------------------------- # test_delete_version_value_error() #-------------------------------------------------------- @responses.activate def test_delete_version_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString') responses.add(responses.DELETE, url, status=200) # Set up parameter values version_loc_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "version_loc_id": version_loc_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.delete_version(**req_copy) #----------------------------------------------------------------------------- # Test Class for list_versions #----------------------------------------------------------------------------- class TestListVersions(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # list_versions() #-------------------------------------------------------- @responses.activate def test_list_versions_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/versions') responses.add(responses.GET, url, status=200) # Set up parameter values q = 'testString' # Invoke method response = service.list_versions( q, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = requests.utils.unquote(query_string) assert 'q={}'.format(q) in query_string #-------------------------------------------------------- # test_list_versions_value_error() #-------------------------------------------------------- @responses.activate def test_list_versions_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/versions') responses.add(responses.GET, url, status=200) # Set up parameter values q = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "q": q, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.list_versions(**req_copy) # endregion ############################################################################## # End of Service: Versions ############################################################################## ############################################################################## # Start of Service: Repo ############################################################################## # region #----------------------------------------------------------------------------- # Test Class for get_repos #----------------------------------------------------------------------------- class TestGetRepos(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # get_repos() #-------------------------------------------------------- @responses.activate def test_get_repos_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/repo/testString/entries') mock_response = '{"chart": {"api_version": "api_version", "created": "2019-01-01T12:00:00", "description": "description", "deprecated": true, "digest": "digest", "home": "home", "icon": "icon", "keywords": ["keywords"], "maintainers": [{"email": "email", "name": "name"}], "name": "name", "tiller_version": "tiller_version", "urls": ["urls"], "sources": ["sources"], "version": "version", "appVersion": "app_version"}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values type = 'testString' repourl = 'testString' # Invoke method response = service.get_repos( type, repourl, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = requests.utils.unquote(query_string) assert 'repourl={}'.format(repourl) in query_string #-------------------------------------------------------- # test_get_repos_value_error() #-------------------------------------------------------- @responses.activate def test_get_repos_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/repo/testString/entries') mock_response = '{"chart": {"api_version": "api_version", "created": "2019-01-01T12:00:00", "description": "description", "deprecated": true, "digest": "digest", "home": "home", "icon": "icon", "keywords": ["keywords"], "maintainers": [{"email": "email", "name": "name"}], "name": "name", "tiller_version": "tiller_version", "urls": ["urls"], "sources": ["sources"], "version": "version", "appVersion": "app_version"}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values type = 'testString' repourl = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "type": type, "repourl": repourl, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.get_repos(**req_copy) #----------------------------------------------------------------------------- # Test Class for get_repo #----------------------------------------------------------------------------- class TestGetRepo(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # get_repo() #-------------------------------------------------------- @responses.activate def test_get_repo_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/repo/testString') mock_response = '{"chart": {"Chart.yaml": {"name": "name", "description": "description", "icon": "icon", "version": "version", "appVersion": "app_version"}, "sha": {"anyKey": "anyValue"}, "README.md": "readme_md", "values-metadata": {"anyKey": "anyValue"}, "license-metadata": {"anyKey": "anyValue"}}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values type = 'testString' charturl = 'testString' # Invoke method response = service.get_repo( type, charturl, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = requests.utils.unquote(query_string) assert 'charturl={}'.format(charturl) in query_string #-------------------------------------------------------- # test_get_repo_value_error() #-------------------------------------------------------- @responses.activate def test_get_repo_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/repo/testString') mock_response = '{"chart": {"Chart.yaml": {"name": "name", "description": "description", "icon": "icon", "version": "version", "appVersion": "app_version"}, "sha": {"anyKey": "anyValue"}, "README.md": "readme_md", "values-metadata": {"anyKey": "anyValue"}, "license-metadata": {"anyKey": "anyValue"}}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values type = 'testString' charturl = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "type": type, "charturl": charturl, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.get_repo(**req_copy) # endregion ############################################################################## # End of Service: Repo ############################################################################## ############################################################################## # Start of Service: Deploy ############################################################################## # region #----------------------------------------------------------------------------- # Test Class for list_clusters #----------------------------------------------------------------------------- class TestListClusters(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # list_clusters() #-------------------------------------------------------- @responses.activate def test_list_clusters_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/deploy/kubernetes/clusters') mock_response = '{"offset": 6, "limit": 5, "total_count": 11, "resource_count": 14, "first": "first", "last": "last", "prev": "prev", "next": "next", "resources": [{"resource_group_id": "resource_group_id", "resource_group_name": "resource_group_name", "id": "id", "name": "name", "region": "region"}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values limit = 38 offset = 38 type = 'testString' # Invoke method response = service.list_clusters( limit=limit, offset=offset, type=type, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = requests.utils.unquote(query_string) assert 'limit={}'.format(limit) in query_string assert 'offset={}'.format(offset) in query_string assert 'type={}'.format(type) in query_string #-------------------------------------------------------- # test_list_clusters_required_params() #-------------------------------------------------------- @responses.activate def test_list_clusters_required_params(self): # Set up mock url = self.preprocess_url(base_url + '/deploy/kubernetes/clusters') mock_response = '{"offset": 6, "limit": 5, "total_count": 11, "resource_count": 14, "first": "first", "last": "last", "prev": "prev", "next": "next", "resources": [{"resource_group_id": "resource_group_id", "resource_group_name": "resource_group_name", "id": "id", "name": "name", "region": "region"}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Invoke method response = service.list_clusters() # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 #----------------------------------------------------------------------------- # Test Class for get_cluster #----------------------------------------------------------------------------- class TestGetCluster(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # get_cluster() #-------------------------------------------------------- @responses.activate def test_get_cluster_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/deploy/kubernetes/clusters/testString') mock_response = '{"resource_group_id": "resource_group_id", "resource_group_name": "resource_group_name", "id": "id", "name": "name", "region": "region"}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values cluster_id = 'testString' region = 'testString' x_auth_refresh_token = 'testString' # Invoke method response = service.get_cluster( cluster_id, region, x_auth_refresh_token, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = requests.utils.unquote(query_string) assert 'region={}'.format(region) in query_string #-------------------------------------------------------- # test_get_cluster_value_error() #-------------------------------------------------------- @responses.activate def test_get_cluster_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/deploy/kubernetes/clusters/testString') mock_response = '{"resource_group_id": "resource_group_id", "resource_group_name": "resource_group_name", "id": "id", "name": "name", "region": "region"}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values cluster_id = 'testString' region = 'testString' x_auth_refresh_token = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "cluster_id": cluster_id, "region": region, "x_auth_refresh_token": x_auth_refresh_token, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.get_cluster(**req_copy) #----------------------------------------------------------------------------- # Test Class for get_namespaces #----------------------------------------------------------------------------- class TestGetNamespaces(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # get_namespaces() #-------------------------------------------------------- @responses.activate def test_get_namespaces_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/deploy/kubernetes/clusters/testString/namespaces') mock_response = '{"offset": 6, "limit": 5, "total_count": 11, "resource_count": 14, "first": "first", "last": "last", "prev": "prev", "next": "next", "resources": ["resources"]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values cluster_id = 'testString' region = 'testString' x_auth_refresh_token = 'testString' limit = 38 offset = 38 # Invoke method response = service.get_namespaces( cluster_id, region, x_auth_refresh_token, limit=limit, offset=offset, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = requests.utils.unquote(query_string) assert 'region={}'.format(region) in query_string assert 'limit={}'.format(limit) in query_string assert 'offset={}'.format(offset) in query_string #-------------------------------------------------------- # test_get_namespaces_required_params() #-------------------------------------------------------- @responses.activate def test_get_namespaces_required_params(self): # Set up mock url = self.preprocess_url(base_url + '/deploy/kubernetes/clusters/testString/namespaces') mock_response = '{"offset": 6, "limit": 5, "total_count": 11, "resource_count": 14, "first": "first", "last": "last", "prev": "prev", "next": "next", "resources": ["resources"]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values cluster_id = 'testString' region = 'testString' x_auth_refresh_token = 'testString' # Invoke method response = service.get_namespaces( cluster_id, region, x_auth_refresh_token, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = requests.utils.unquote(query_string) assert 'region={}'.format(region) in query_string #-------------------------------------------------------- # test_get_namespaces_value_error() #-------------------------------------------------------- @responses.activate def test_get_namespaces_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/deploy/kubernetes/clusters/testString/namespaces') mock_response = '{"offset": 6, "limit": 5, "total_count": 11, "resource_count": 14, "first": "first", "last": "last", "prev": "prev", "next": "next", "resources": ["resources"]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values cluster_id = 'testString' region = 'testString' x_auth_refresh_token = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "cluster_id": cluster_id, "region": region, "x_auth_refresh_token": x_auth_refresh_token, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.get_namespaces(**req_copy) #----------------------------------------------------------------------------- # Test Class for create_operator #----------------------------------------------------------------------------- class TestCreateOperator(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # create_operator() #-------------------------------------------------------- @responses.activate def test_create_operator_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/deploy/kubernetes/olm/operator') mock_response = '[{"phase": "phase", "message": "message", "link": "link", "name": "name", "version": "version", "namespace": "namespace", "package_name": "package_name", "catalog_id": "catalog_id"}]' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values x_auth_refresh_token = 'testString' cluster_id = 'testString' region = 'testString' namespaces = ['testString'] version_locator_id = 'testString' # Invoke method response = service.create_operator( x_auth_refresh_token, cluster_id=cluster_id, region=region, namespaces=namespaces, version_locator_id=version_locator_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['cluster_id'] == 'testString' assert req_body['region'] == 'testString' assert req_body['namespaces'] == ['testString'] assert req_body['version_locator_id'] == 'testString' #-------------------------------------------------------- # test_create_operator_required_params() #-------------------------------------------------------- @responses.activate def test_create_operator_required_params(self): # Set up mock url = self.preprocess_url(base_url + '/deploy/kubernetes/olm/operator') mock_response = '[{"phase": "phase", "message": "message", "link": "link", "name": "name", "version": "version", "namespace": "namespace", "package_name": "package_name", "catalog_id": "catalog_id"}]' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values x_auth_refresh_token = 'testString' # Invoke method response = service.create_operator( x_auth_refresh_token, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 #-------------------------------------------------------- # test_create_operator_value_error() #-------------------------------------------------------- @responses.activate def test_create_operator_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/deploy/kubernetes/olm/operator') mock_response = '[{"phase": "phase", "message": "message", "link": "link", "name": "name", "version": "version", "namespace": "namespace", "package_name": "package_name", "catalog_id": "catalog_id"}]' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values x_auth_refresh_token = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "x_auth_refresh_token": x_auth_refresh_token, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.create_operator(**req_copy) #----------------------------------------------------------------------------- # Test Class for list_operators #----------------------------------------------------------------------------- class TestListOperators(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # list_operators() #-------------------------------------------------------- @responses.activate def test_list_operators_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/deploy/kubernetes/olm/operator') mock_response = '[{"phase": "phase", "message": "message", "link": "link", "name": "name", "version": "version", "namespace": "namespace", "package_name": "package_name", "catalog_id": "catalog_id"}]' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values x_auth_refresh_token = 'testString' cluster_id = 'testString' region = 'testString' version_locator_id = 'testString' # Invoke method response = service.list_operators( x_auth_refresh_token, cluster_id, region, version_locator_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = requests.utils.unquote(query_string) assert 'cluster_id={}'.format(cluster_id) in query_string assert 'region={}'.format(region) in query_string assert 'version_locator_id={}'.format(version_locator_id) in query_string #-------------------------------------------------------- # test_list_operators_value_error() #-------------------------------------------------------- @responses.activate def test_list_operators_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/deploy/kubernetes/olm/operator') mock_response = '[{"phase": "phase", "message": "message", "link": "link", "name": "name", "version": "version", "namespace": "namespace", "package_name": "package_name", "catalog_id": "catalog_id"}]' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values x_auth_refresh_token = 'testString' cluster_id = 'testString' region = 'testString' version_locator_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "x_auth_refresh_token": x_auth_refresh_token, "cluster_id": cluster_id, "region": region, "version_locator_id": version_locator_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.list_operators(**req_copy) #----------------------------------------------------------------------------- # Test Class for replace_operator #----------------------------------------------------------------------------- class TestReplaceOperator(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # replace_operator() #-------------------------------------------------------- @responses.activate def test_replace_operator_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/deploy/kubernetes/olm/operator') mock_response = '[{"phase": "phase", "message": "message", "link": "link", "name": "name", "version": "version", "namespace": "namespace", "package_name": "package_name", "catalog_id": "catalog_id"}]' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values x_auth_refresh_token = 'testString' cluster_id = 'testString' region = 'testString' namespaces = ['testString'] version_locator_id = 'testString' # Invoke method response = service.replace_operator( x_auth_refresh_token, cluster_id=cluster_id, region=region, namespaces=namespaces, version_locator_id=version_locator_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['cluster_id'] == 'testString' assert req_body['region'] == 'testString' assert req_body['namespaces'] == ['testString'] assert req_body['version_locator_id'] == 'testString' #-------------------------------------------------------- # test_replace_operator_required_params() #-------------------------------------------------------- @responses.activate def test_replace_operator_required_params(self): # Set up mock url = self.preprocess_url(base_url + '/deploy/kubernetes/olm/operator') mock_response = '[{"phase": "phase", "message": "message", "link": "link", "name": "name", "version": "version", "namespace": "namespace", "package_name": "package_name", "catalog_id": "catalog_id"}]' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values x_auth_refresh_token = 'testString' # Invoke method response = service.replace_operator( x_auth_refresh_token, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 #-------------------------------------------------------- # test_replace_operator_value_error() #-------------------------------------------------------- @responses.activate def test_replace_operator_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/deploy/kubernetes/olm/operator') mock_response = '[{"phase": "phase", "message": "message", "link": "link", "name": "name", "version": "version", "namespace": "namespace", "package_name": "package_name", "catalog_id": "catalog_id"}]' responses.add(responses.PUT, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values x_auth_refresh_token = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "x_auth_refresh_token": x_auth_refresh_token, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.replace_operator(**req_copy) #----------------------------------------------------------------------------- # Test Class for delete_operator #----------------------------------------------------------------------------- class TestDeleteOperator(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # delete_operator() #-------------------------------------------------------- @responses.activate def test_delete_operator_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/deploy/kubernetes/olm/operator') responses.add(responses.DELETE, url, status=200) # Set up parameter values x_auth_refresh_token = 'testString' cluster_id = 'testString' region = 'testString' version_locator_id = 'testString' # Invoke method response = service.delete_operator( x_auth_refresh_token, cluster_id, region, version_locator_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = requests.utils.unquote(query_string) assert 'cluster_id={}'.format(cluster_id) in query_string assert 'region={}'.format(region) in query_string assert 'version_locator_id={}'.format(version_locator_id) in query_string #-------------------------------------------------------- # test_delete_operator_value_error() #-------------------------------------------------------- @responses.activate def test_delete_operator_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/deploy/kubernetes/olm/operator') responses.add(responses.DELETE, url, status=200) # Set up parameter values x_auth_refresh_token = 'testString' cluster_id = 'testString' region = 'testString' version_locator_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "x_auth_refresh_token": x_auth_refresh_token, "cluster_id": cluster_id, "region": region, "version_locator_id": version_locator_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.delete_operator(**req_copy) #----------------------------------------------------------------------------- # Test Class for install_version #----------------------------------------------------------------------------- class TestInstallVersion(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # install_version() #-------------------------------------------------------- @responses.activate def test_install_version_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/install') responses.add(responses.POST, url, status=202) # Construct a dict representation of a DeployRequestBodySchematics model deploy_request_body_schematics_model = {} deploy_request_body_schematics_model['name'] = 'testString' deploy_request_body_schematics_model['description'] = 'testString' deploy_request_body_schematics_model['tags'] = ['testString'] deploy_request_body_schematics_model['resource_group_id'] = 'testString' # Set up parameter values version_loc_id = 'testString' x_auth_refresh_token = 'testString' cluster_id = 'testString' region = 'testString' namespace = 'testString' override_values = { 'foo': 'bar' } entitlement_apikey = 'testString' schematics = deploy_request_body_schematics_model script = 'testString' script_id = 'testString' version_locator_id = 'testString' vcenter_id = 'testString' vcenter_password = 'testString' vcenter_location = 'testString' # Invoke method response = service.install_version( version_loc_id, x_auth_refresh_token, cluster_id=cluster_id, region=region, namespace=namespace, override_values=override_values, entitlement_apikey=entitlement_apikey, schematics=schematics, script=script, script_id=script_id, version_locator_id=version_locator_id, vcenter_id=vcenter_id, vcenter_password=vcenter_password, vcenter_location=vcenter_location, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 202 # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['cluster_id'] == 'testString' assert req_body['region'] == 'testString' assert req_body['namespace'] == 'testString' assert req_body['override_values'] == { 'foo': 'bar' } assert req_body['entitlement_apikey'] == 'testString' assert req_body['schematics'] == deploy_request_body_schematics_model assert req_body['script'] == 'testString' assert req_body['script_id'] == 'testString' assert req_body['version_locator_id'] == 'testString' assert req_body['vcenter_id'] == 'testString' assert req_body['vcenter_password'] == 'testString' assert req_body['vcenter_location'] == 'testString' #-------------------------------------------------------- # test_install_version_required_params() #-------------------------------------------------------- @responses.activate def test_install_version_required_params(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/install') responses.add(responses.POST, url, status=202) # Set up parameter values version_loc_id = 'testString' x_auth_refresh_token = 'testString' # Invoke method response = service.install_version( version_loc_id, x_auth_refresh_token, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 202 #-------------------------------------------------------- # test_install_version_value_error() #-------------------------------------------------------- @responses.activate def test_install_version_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/install') responses.add(responses.POST, url, status=202) # Set up parameter values version_loc_id = 'testString' x_auth_refresh_token = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "version_loc_id": version_loc_id, "x_auth_refresh_token": x_auth_refresh_token, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.install_version(**req_copy) #----------------------------------------------------------------------------- # Test Class for preinstall_version #----------------------------------------------------------------------------- class TestPreinstallVersion(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # preinstall_version() #-------------------------------------------------------- @responses.activate def test_preinstall_version_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/preinstall') responses.add(responses.POST, url, status=202) # Construct a dict representation of a DeployRequestBodySchematics model deploy_request_body_schematics_model = {} deploy_request_body_schematics_model['name'] = 'testString' deploy_request_body_schematics_model['description'] = 'testString' deploy_request_body_schematics_model['tags'] = ['testString'] deploy_request_body_schematics_model['resource_group_id'] = 'testString' # Set up parameter values version_loc_id = 'testString' x_auth_refresh_token = 'testString' cluster_id = 'testString' region = 'testString' namespace = 'testString' override_values = { 'foo': 'bar' } entitlement_apikey = 'testString' schematics = deploy_request_body_schematics_model script = 'testString' script_id = 'testString' version_locator_id = 'testString' vcenter_id = 'testString' vcenter_password = 'testString' vcenter_location = 'testString' # Invoke method response = service.preinstall_version( version_loc_id, x_auth_refresh_token, cluster_id=cluster_id, region=region, namespace=namespace, override_values=override_values, entitlement_apikey=entitlement_apikey, schematics=schematics, script=script, script_id=script_id, version_locator_id=version_locator_id, vcenter_id=vcenter_id, vcenter_password=vcenter_password, vcenter_location=vcenter_location, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 202 # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['cluster_id'] == 'testString' assert req_body['region'] == 'testString' assert req_body['namespace'] == 'testString' assert req_body['override_values'] == { 'foo': 'bar' } assert req_body['entitlement_apikey'] == 'testString' assert req_body['schematics'] == deploy_request_body_schematics_model assert req_body['script'] == 'testString' assert req_body['script_id'] == 'testString' assert req_body['version_locator_id'] == 'testString' assert req_body['vcenter_id'] == 'testString' assert req_body['vcenter_password'] == 'testString' assert req_body['vcenter_location'] == 'testString' #-------------------------------------------------------- # test_preinstall_version_required_params() #-------------------------------------------------------- @responses.activate def test_preinstall_version_required_params(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/preinstall') responses.add(responses.POST, url, status=202) # Set up parameter values version_loc_id = 'testString' x_auth_refresh_token = 'testString' # Invoke method response = service.preinstall_version( version_loc_id, x_auth_refresh_token, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 202 #-------------------------------------------------------- # test_preinstall_version_value_error() #-------------------------------------------------------- @responses.activate def test_preinstall_version_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/preinstall') responses.add(responses.POST, url, status=202) # Set up parameter values version_loc_id = 'testString' x_auth_refresh_token = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "version_loc_id": version_loc_id, "x_auth_refresh_token": x_auth_refresh_token, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.preinstall_version(**req_copy) #----------------------------------------------------------------------------- # Test Class for get_preinstall #----------------------------------------------------------------------------- class TestGetPreinstall(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # get_preinstall() #-------------------------------------------------------- @responses.activate def test_get_preinstall_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/preinstall') mock_response = '{"metadata": {"cluster_id": "cluster_id", "region": "region", "namespace": "namespace", "workspace_id": "workspace_id", "workspace_name": "workspace_name"}, "release": {"deployments": [{"anyKey": "anyValue"}], "replicasets": [{"anyKey": "anyValue"}], "statefulsets": [{"anyKey": "anyValue"}], "pods": [{"anyKey": "anyValue"}], "errors": [{"anyKey": "anyValue"}]}, "content_mgmt": {"pods": [{"anyKey": "anyValue"}], "errors": [{"anyKey": "anyValue"}]}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values version_loc_id = 'testString' x_auth_refresh_token = 'testString' cluster_id = 'testString' region = 'testString' namespace = 'testString' # Invoke method response = service.get_preinstall( version_loc_id, x_auth_refresh_token, cluster_id=cluster_id, region=region, namespace=namespace, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = requests.utils.unquote(query_string) assert 'cluster_id={}'.format(cluster_id) in query_string assert 'region={}'.format(region) in query_string assert 'namespace={}'.format(namespace) in query_string #-------------------------------------------------------- # test_get_preinstall_required_params() #-------------------------------------------------------- @responses.activate def test_get_preinstall_required_params(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/preinstall') mock_response = '{"metadata": {"cluster_id": "cluster_id", "region": "region", "namespace": "namespace", "workspace_id": "workspace_id", "workspace_name": "workspace_name"}, "release": {"deployments": [{"anyKey": "anyValue"}], "replicasets": [{"anyKey": "anyValue"}], "statefulsets": [{"anyKey": "anyValue"}], "pods": [{"anyKey": "anyValue"}], "errors": [{"anyKey": "anyValue"}]}, "content_mgmt": {"pods": [{"anyKey": "anyValue"}], "errors": [{"anyKey": "anyValue"}]}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values version_loc_id = 'testString' x_auth_refresh_token = 'testString' # Invoke method response = service.get_preinstall( version_loc_id, x_auth_refresh_token, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 #-------------------------------------------------------- # test_get_preinstall_value_error() #-------------------------------------------------------- @responses.activate def test_get_preinstall_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/preinstall') mock_response = '{"metadata": {"cluster_id": "cluster_id", "region": "region", "namespace": "namespace", "workspace_id": "workspace_id", "workspace_name": "workspace_name"}, "release": {"deployments": [{"anyKey": "anyValue"}], "replicasets": [{"anyKey": "anyValue"}], "statefulsets": [{"anyKey": "anyValue"}], "pods": [{"anyKey": "anyValue"}], "errors": [{"anyKey": "anyValue"}]}, "content_mgmt": {"pods": [{"anyKey": "anyValue"}], "errors": [{"anyKey": "anyValue"}]}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values version_loc_id = 'testString' x_auth_refresh_token = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "version_loc_id": version_loc_id, "x_auth_refresh_token": x_auth_refresh_token, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.get_preinstall(**req_copy) #----------------------------------------------------------------------------- # Test Class for validation_install #----------------------------------------------------------------------------- class TestValidationInstall(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # validation_install() #-------------------------------------------------------- @responses.activate def test_validation_install_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/validation/install') responses.add(responses.POST, url, status=202) # Construct a dict representation of a DeployRequestBodySchematics model deploy_request_body_schematics_model = {} deploy_request_body_schematics_model['name'] = 'testString' deploy_request_body_schematics_model['description'] = 'testString' deploy_request_body_schematics_model['tags'] = ['testString'] deploy_request_body_schematics_model['resource_group_id'] = 'testString' # Set up parameter values version_loc_id = 'testString' x_auth_refresh_token = 'testString' cluster_id = 'testString' region = 'testString' namespace = 'testString' override_values = { 'foo': 'bar' } entitlement_apikey = 'testString' schematics = deploy_request_body_schematics_model script = 'testString' script_id = 'testString' version_locator_id = 'testString' vcenter_id = 'testString' vcenter_password = 'testString' vcenter_location = 'testString' # Invoke method response = service.validation_install( version_loc_id, x_auth_refresh_token, cluster_id=cluster_id, region=region, namespace=namespace, override_values=override_values, entitlement_apikey=entitlement_apikey, schematics=schematics, script=script, script_id=script_id, version_locator_id=version_locator_id, vcenter_id=vcenter_id, vcenter_password=vcenter_password, vcenter_location=vcenter_location, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 202 # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['cluster_id'] == 'testString' assert req_body['region'] == 'testString' assert req_body['namespace'] == 'testString' assert req_body['override_values'] == { 'foo': 'bar' } assert req_body['entitlement_apikey'] == 'testString' assert req_body['schematics'] == deploy_request_body_schematics_model assert req_body['script'] == 'testString' assert req_body['script_id'] == 'testString' assert req_body['version_locator_id'] == 'testString' assert req_body['vcenter_id'] == 'testString' assert req_body['vcenter_password'] == 'testString' assert req_body['vcenter_location'] == 'testString' #-------------------------------------------------------- # test_validation_install_required_params() #-------------------------------------------------------- @responses.activate def test_validation_install_required_params(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/validation/install') responses.add(responses.POST, url, status=202) # Set up parameter values version_loc_id = 'testString' x_auth_refresh_token = 'testString' # Invoke method response = service.validation_install( version_loc_id, x_auth_refresh_token, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 202 #-------------------------------------------------------- # test_validation_install_value_error() #-------------------------------------------------------- @responses.activate def test_validation_install_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/validation/install') responses.add(responses.POST, url, status=202) # Set up parameter values version_loc_id = 'testString' x_auth_refresh_token = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "version_loc_id": version_loc_id, "x_auth_refresh_token": x_auth_refresh_token, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.validation_install(**req_copy) #----------------------------------------------------------------------------- # Test Class for get_validation_status #----------------------------------------------------------------------------- class TestGetValidationStatus(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # get_validation_status() #-------------------------------------------------------- @responses.activate def test_get_validation_status_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/validation/install') mock_response = '{"validated": "2019-01-01T12:00:00", "requested": "2019-01-01T12:00:00", "state": "state", "last_operation": "last_operation", "target": {"anyKey": "anyValue"}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values version_loc_id = 'testString' x_auth_refresh_token = 'testString' # Invoke method response = service.get_validation_status( version_loc_id, x_auth_refresh_token, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 #-------------------------------------------------------- # test_get_validation_status_value_error() #-------------------------------------------------------- @responses.activate def test_get_validation_status_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/validation/install') mock_response = '{"validated": "2019-01-01T12:00:00", "requested": "2019-01-01T12:00:00", "state": "state", "last_operation": "last_operation", "target": {"anyKey": "anyValue"}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values version_loc_id = 'testString' x_auth_refresh_token = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "version_loc_id": version_loc_id, "x_auth_refresh_token": x_auth_refresh_token, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.get_validation_status(**req_copy) #----------------------------------------------------------------------------- # Test Class for get_override_values #----------------------------------------------------------------------------- class TestGetOverrideValues(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # get_override_values() #-------------------------------------------------------- @responses.activate def test_get_override_values_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/validation/overridevalues') mock_response = '{"mapKey": {"anyKey": "anyValue"}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values version_loc_id = 'testString' # Invoke method response = service.get_override_values( version_loc_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 #-------------------------------------------------------- # test_get_override_values_value_error() #-------------------------------------------------------- @responses.activate def test_get_override_values_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/validation/overridevalues') mock_response = '{"mapKey": {"anyKey": "anyValue"}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values version_loc_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "version_loc_id": version_loc_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.get_override_values(**req_copy) #----------------------------------------------------------------------------- # Test Class for get_schematics_workspaces #----------------------------------------------------------------------------- class TestGetSchematicsWorkspaces(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # get_schematics_workspaces() #-------------------------------------------------------- @responses.activate def test_get_schematics_workspaces_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/workspaces') mock_response = '{"offset": 6, "limit": 5, "total_count": 11, "resource_count": 14, "first": "first", "last": "last", "prev": "prev", "next": "next", "resources": [{"id": "id", "name": "name", "type": ["type"], "description": "description", "tags": ["tags"], "created_at": "2019-01-01T12:00:00", "created_by": "created_by", "status": "status", "workspace_status": {"frozen": true, "locked": true}, "template_ref": "template_ref", "template_repo": {"repo_url": "repo_url", "chart_name": "chart_name", "script_name": "script_name", "uninstall_script_name": "uninstall_script_name", "folder_name": "folder_name", "repo_sha_value": "repo_sha_value"}, "template_data": [{"anyKey": "anyValue"}], "runtime_data": {"id": "id", "engine_name": "engine_name", "engine_version": "engine_version", "state_store_url": "state_store_url", "log_store_url": "log_store_url"}, "shared_data": {"anyKey": "anyValue"}, "catalog_ref": {"item_id": "item_id", "item_name": "item_name", "item_url": "item_url"}}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values version_loc_id = 'testString' x_auth_refresh_token = 'testString' # Invoke method response = service.get_schematics_workspaces( version_loc_id, x_auth_refresh_token, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 #-------------------------------------------------------- # test_get_schematics_workspaces_value_error() #-------------------------------------------------------- @responses.activate def test_get_schematics_workspaces_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/workspaces') mock_response = '{"offset": 6, "limit": 5, "total_count": 11, "resource_count": 14, "first": "first", "last": "last", "prev": "prev", "next": "next", "resources": [{"id": "id", "name": "name", "type": ["type"], "description": "description", "tags": ["tags"], "created_at": "2019-01-01T12:00:00", "created_by": "created_by", "status": "status", "workspace_status": {"frozen": true, "locked": true}, "template_ref": "template_ref", "template_repo": {"repo_url": "repo_url", "chart_name": "chart_name", "script_name": "script_name", "uninstall_script_name": "uninstall_script_name", "folder_name": "folder_name", "repo_sha_value": "repo_sha_value"}, "template_data": [{"anyKey": "anyValue"}], "runtime_data": {"id": "id", "engine_name": "engine_name", "engine_version": "engine_version", "state_store_url": "state_store_url", "log_store_url": "log_store_url"}, "shared_data": {"anyKey": "anyValue"}, "catalog_ref": {"item_id": "item_id", "item_name": "item_name", "item_url": "item_url"}}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values version_loc_id = 'testString' x_auth_refresh_token = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "version_loc_id": version_loc_id, "x_auth_refresh_token": x_auth_refresh_token, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.get_schematics_workspaces(**req_copy) #----------------------------------------------------------------------------- # Test Class for can_deploy_schematics #----------------------------------------------------------------------------- class TestCanDeploySchematics(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # can_deploy_schematics() #-------------------------------------------------------- @responses.activate def test_can_deploy_schematics_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/candeploy') mock_response = '{"pre_install": {"anyKey": "anyValue"}, "install": {"anyKey": "anyValue"}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values version_loc_id = 'testString' cluster_id = 'testString' region = 'testString' namespace = 'testString' resource_group_id = 'testString' # Invoke method response = service.can_deploy_schematics( version_loc_id, cluster_id, region, namespace=namespace, resource_group_id=resource_group_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = requests.utils.unquote(query_string) assert 'cluster_id={}'.format(cluster_id) in query_string assert 'region={}'.format(region) in query_string assert 'namespace={}'.format(namespace) in query_string assert 'resource_group_id={}'.format(resource_group_id) in query_string #-------------------------------------------------------- # test_can_deploy_schematics_required_params() #-------------------------------------------------------- @responses.activate def test_can_deploy_schematics_required_params(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/candeploy') mock_response = '{"pre_install": {"anyKey": "anyValue"}, "install": {"anyKey": "anyValue"}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values version_loc_id = 'testString' cluster_id = 'testString' region = 'testString' # Invoke method response = service.can_deploy_schematics( version_loc_id, cluster_id, region, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = requests.utils.unquote(query_string) assert 'cluster_id={}'.format(cluster_id) in query_string assert 'region={}'.format(region) in query_string #-------------------------------------------------------- # test_can_deploy_schematics_value_error() #-------------------------------------------------------- @responses.activate def test_can_deploy_schematics_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/versions/testString/candeploy') mock_response = '{"pre_install": {"anyKey": "anyValue"}, "install": {"anyKey": "anyValue"}}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values version_loc_id = 'testString' cluster_id = 'testString' region = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "version_loc_id": version_loc_id, "cluster_id": cluster_id, "region": region, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.can_deploy_schematics(**req_copy) #----------------------------------------------------------------------------- # Test Class for get_resource_groups #----------------------------------------------------------------------------- class TestGetResourceGroups(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # get_resource_groups() #-------------------------------------------------------- @responses.activate def test_get_resource_groups_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/deploy/schematics/resourcegroups') mock_response = '{"offset": 6, "limit": 5, "total_count": 11, "resource_count": 14, "first": "first", "last": "last", "prev": "prev", "next": "next", "resources": [{"id": "id", "name": "name", "crn": "crn", "account_id": "account_id", "state": "state", "default": false}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Invoke method response = service.get_resource_groups() # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # endregion ############################################################################## # End of Service: Deploy ############################################################################## ############################################################################## # Start of Service: Licensing ############################################################################## # region #----------------------------------------------------------------------------- # Test Class for get_license_providers #----------------------------------------------------------------------------- class TestGetLicenseProviders(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # get_license_providers() #-------------------------------------------------------- @responses.activate def test_get_license_providers_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/license/license_providers') mock_response = '{"total_results": 13, "total_pages": 11, "prev_url": "prev_url", "next_url": "next_url", "resources": [{"name": "name", "short_description": "short_description", "id": "id", "licence_type": "licence_type", "offering_type": "offering_type", "create_url": "create_url", "info_url": "info_url", "url": "url", "crn": "crn", "state": "state"}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Invoke method response = service.get_license_providers() # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 #----------------------------------------------------------------------------- # Test Class for list_license_entitlements #----------------------------------------------------------------------------- class TestListLicenseEntitlements(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # list_license_entitlements() #-------------------------------------------------------- @responses.activate def test_list_license_entitlements_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/license/entitlements') mock_response = '{"total_results": 13, "total_pages": 11, "prev_url": "prev_url", "next_url": "next_url", "resources": [{"name": "name", "id": "id", "crn": "crn", "url": "url", "offering_type": "offering_type", "state": "state", "effective_from": "effective_from", "effective_until": "effective_until", "account_id": "account_id", "owner_id": "owner_id", "version_id": "version_id", "license_offering_id": "license_offering_id", "license_id": "license_id", "license_owner_id": "license_owner_id", "license_type": "license_type", "license_provider_id": "license_provider_id", "license_provider_url": "license_provider_url", "license_product_id": "license_product_id", "namespace_repository": "namespace_repository", "apikey": "apikey", "create_by": "create_by", "update_by": "update_by", "create_at": "create_at", "updated_at": "updated_at", "history": [{"action": "action", "user": "user", "date": "date"}], "offering_list": [{"id": "id", "name": "name", "label": "label", "offering_icon_url": "offering_icon_url", "account_id": "account_id", "catalog_id": "catalog_id"}]}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values account_id = 'testString' license_product_id = 'testString' version_id = 'testString' state = 'testString' # Invoke method response = service.list_license_entitlements( account_id=account_id, license_product_id=license_product_id, version_id=version_id, state=state, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = requests.utils.unquote(query_string) assert 'account_id={}'.format(account_id) in query_string assert 'license_product_id={}'.format(license_product_id) in query_string assert 'version_id={}'.format(version_id) in query_string assert 'state={}'.format(state) in query_string #-------------------------------------------------------- # test_list_license_entitlements_required_params() #-------------------------------------------------------- @responses.activate def test_list_license_entitlements_required_params(self): # Set up mock url = self.preprocess_url(base_url + '/license/entitlements') mock_response = '{"total_results": 13, "total_pages": 11, "prev_url": "prev_url", "next_url": "next_url", "resources": [{"name": "name", "id": "id", "crn": "crn", "url": "url", "offering_type": "offering_type", "state": "state", "effective_from": "effective_from", "effective_until": "effective_until", "account_id": "account_id", "owner_id": "owner_id", "version_id": "version_id", "license_offering_id": "license_offering_id", "license_id": "license_id", "license_owner_id": "license_owner_id", "license_type": "license_type", "license_provider_id": "license_provider_id", "license_provider_url": "license_provider_url", "license_product_id": "license_product_id", "namespace_repository": "namespace_repository", "apikey": "apikey", "create_by": "create_by", "update_by": "update_by", "create_at": "create_at", "updated_at": "updated_at", "history": [{"action": "action", "user": "user", "date": "date"}], "offering_list": [{"id": "id", "name": "name", "label": "label", "offering_icon_url": "offering_icon_url", "account_id": "account_id", "catalog_id": "catalog_id"}]}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Invoke method response = service.list_license_entitlements() # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 #----------------------------------------------------------------------------- # Test Class for create_license_entitlement #----------------------------------------------------------------------------- class TestCreateLicenseEntitlement(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # create_license_entitlement() #-------------------------------------------------------- @responses.activate def test_create_license_entitlement_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/license/entitlements') mock_response = '{"name": "name", "id": "id", "crn": "crn", "url": "url", "offering_type": "offering_type", "state": "state", "effective_from": "effective_from", "effective_until": "effective_until", "account_id": "account_id", "owner_id": "owner_id", "version_id": "version_id", "license_offering_id": "license_offering_id", "license_id": "license_id", "license_owner_id": "license_owner_id", "license_type": "license_type", "license_provider_id": "license_provider_id", "license_provider_url": "license_provider_url", "license_product_id": "license_product_id", "namespace_repository": "namespace_repository", "apikey": "apikey", "create_by": "create_by", "update_by": "update_by", "create_at": "create_at", "updated_at": "updated_at", "history": [{"action": "action", "user": "user", "date": "date"}], "offering_list": [{"id": "id", "name": "name", "label": "label", "offering_icon_url": "offering_icon_url", "account_id": "account_id", "catalog_id": "catalog_id"}]}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values name = 'testString' effective_from = 'testString' effective_until = 'testString' version_id = 'testString' license_id = 'testString' license_owner_id = 'testString' license_provider_id = 'testString' license_product_id = 'testString' account_id = 'testString' # Invoke method response = service.create_license_entitlement( name=name, effective_from=effective_from, effective_until=effective_until, version_id=version_id, license_id=license_id, license_owner_id=license_owner_id, license_provider_id=license_provider_id, license_product_id=license_product_id, account_id=account_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = requests.utils.unquote(query_string) assert 'account_id={}'.format(account_id) in query_string # Validate body params req_body = json.loads(str(responses.calls[0].request.body, 'utf-8')) assert req_body['name'] == 'testString' assert req_body['effective_from'] == 'testString' assert req_body['effective_until'] == 'testString' assert req_body['version_id'] == 'testString' assert req_body['license_id'] == 'testString' assert req_body['license_owner_id'] == 'testString' assert req_body['license_provider_id'] == 'testString' assert req_body['license_product_id'] == 'testString' #-------------------------------------------------------- # test_create_license_entitlement_required_params() #-------------------------------------------------------- @responses.activate def test_create_license_entitlement_required_params(self): # Set up mock url = self.preprocess_url(base_url + '/license/entitlements') mock_response = '{"name": "name", "id": "id", "crn": "crn", "url": "url", "offering_type": "offering_type", "state": "state", "effective_from": "effective_from", "effective_until": "effective_until", "account_id": "account_id", "owner_id": "owner_id", "version_id": "version_id", "license_offering_id": "license_offering_id", "license_id": "license_id", "license_owner_id": "license_owner_id", "license_type": "license_type", "license_provider_id": "license_provider_id", "license_provider_url": "license_provider_url", "license_product_id": "license_product_id", "namespace_repository": "namespace_repository", "apikey": "apikey", "create_by": "create_by", "update_by": "update_by", "create_at": "create_at", "updated_at": "updated_at", "history": [{"action": "action", "user": "user", "date": "date"}], "offering_list": [{"id": "id", "name": "name", "label": "label", "offering_icon_url": "offering_icon_url", "account_id": "account_id", "catalog_id": "catalog_id"}]}' responses.add(responses.POST, url, body=mock_response, content_type='application/json', status=200) # Invoke method response = service.create_license_entitlement() # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 #----------------------------------------------------------------------------- # Test Class for get_license_entitlements #----------------------------------------------------------------------------- class TestGetLicenseEntitlements(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # get_license_entitlements() #-------------------------------------------------------- @responses.activate def test_get_license_entitlements_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/license/entitlements/productID/testString') mock_response = '{"total_results": 13, "total_pages": 11, "prev_url": "prev_url", "next_url": "next_url", "resources": [{"name": "name", "id": "id", "crn": "crn", "url": "url", "offering_type": "offering_type", "state": "state", "effective_from": "effective_from", "effective_until": "effective_until", "account_id": "account_id", "owner_id": "owner_id", "version_id": "version_id", "license_offering_id": "license_offering_id", "license_id": "license_id", "license_owner_id": "license_owner_id", "license_type": "license_type", "license_provider_id": "license_provider_id", "license_provider_url": "license_provider_url", "license_product_id": "license_product_id", "namespace_repository": "namespace_repository", "apikey": "apikey", "create_by": "create_by", "update_by": "update_by", "create_at": "create_at", "updated_at": "updated_at", "history": [{"action": "action", "user": "user", "date": "date"}], "offering_list": [{"id": "id", "name": "name", "label": "label", "offering_icon_url": "offering_icon_url", "account_id": "account_id", "catalog_id": "catalog_id"}]}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values license_product_id = 'testString' account_id = 'testString' version_id = 'testString' # Invoke method response = service.get_license_entitlements( license_product_id, account_id=account_id, version_id=version_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = requests.utils.unquote(query_string) assert 'account_id={}'.format(account_id) in query_string assert 'version_id={}'.format(version_id) in query_string #-------------------------------------------------------- # test_get_license_entitlements_required_params() #-------------------------------------------------------- @responses.activate def test_get_license_entitlements_required_params(self): # Set up mock url = self.preprocess_url(base_url + '/license/entitlements/productID/testString') mock_response = '{"total_results": 13, "total_pages": 11, "prev_url": "prev_url", "next_url": "next_url", "resources": [{"name": "name", "id": "id", "crn": "crn", "url": "url", "offering_type": "offering_type", "state": "state", "effective_from": "effective_from", "effective_until": "effective_until", "account_id": "account_id", "owner_id": "owner_id", "version_id": "version_id", "license_offering_id": "license_offering_id", "license_id": "license_id", "license_owner_id": "license_owner_id", "license_type": "license_type", "license_provider_id": "license_provider_id", "license_provider_url": "license_provider_url", "license_product_id": "license_product_id", "namespace_repository": "namespace_repository", "apikey": "apikey", "create_by": "create_by", "update_by": "update_by", "create_at": "create_at", "updated_at": "updated_at", "history": [{"action": "action", "user": "user", "date": "date"}], "offering_list": [{"id": "id", "name": "name", "label": "label", "offering_icon_url": "offering_icon_url", "account_id": "account_id", "catalog_id": "catalog_id"}]}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values license_product_id = 'testString' # Invoke method response = service.get_license_entitlements( license_product_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 #-------------------------------------------------------- # test_get_license_entitlements_value_error() #-------------------------------------------------------- @responses.activate def test_get_license_entitlements_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/license/entitlements/productID/testString') mock_response = '{"total_results": 13, "total_pages": 11, "prev_url": "prev_url", "next_url": "next_url", "resources": [{"name": "name", "id": "id", "crn": "crn", "url": "url", "offering_type": "offering_type", "state": "state", "effective_from": "effective_from", "effective_until": "effective_until", "account_id": "account_id", "owner_id": "owner_id", "version_id": "version_id", "license_offering_id": "license_offering_id", "license_id": "license_id", "license_owner_id": "license_owner_id", "license_type": "license_type", "license_provider_id": "license_provider_id", "license_provider_url": "license_provider_url", "license_product_id": "license_product_id", "namespace_repository": "namespace_repository", "apikey": "apikey", "create_by": "create_by", "update_by": "update_by", "create_at": "create_at", "updated_at": "updated_at", "history": [{"action": "action", "user": "user", "date": "date"}], "offering_list": [{"id": "id", "name": "name", "label": "label", "offering_icon_url": "offering_icon_url", "account_id": "account_id", "catalog_id": "catalog_id"}]}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values license_product_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "license_product_id": license_product_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.get_license_entitlements(**req_copy) #----------------------------------------------------------------------------- # Test Class for delete_license_entitlement #----------------------------------------------------------------------------- class TestDeleteLicenseEntitlement(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # delete_license_entitlement() #-------------------------------------------------------- @responses.activate def test_delete_license_entitlement_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/license/entitlements/testString') responses.add(responses.DELETE, url, status=200) # Set up parameter values entitlement_id = 'testString' account_id = 'testString' # Invoke method response = service.delete_license_entitlement( entitlement_id, account_id=account_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = requests.utils.unquote(query_string) assert 'account_id={}'.format(account_id) in query_string #-------------------------------------------------------- # test_delete_license_entitlement_required_params() #-------------------------------------------------------- @responses.activate def test_delete_license_entitlement_required_params(self): # Set up mock url = self.preprocess_url(base_url + '/license/entitlements/testString') responses.add(responses.DELETE, url, status=200) # Set up parameter values entitlement_id = 'testString' # Invoke method response = service.delete_license_entitlement( entitlement_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 #-------------------------------------------------------- # test_delete_license_entitlement_value_error() #-------------------------------------------------------- @responses.activate def test_delete_license_entitlement_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/license/entitlements/testString') responses.add(responses.DELETE, url, status=200) # Set up parameter values entitlement_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "entitlement_id": entitlement_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.delete_license_entitlement(**req_copy) #----------------------------------------------------------------------------- # Test Class for get_licenses #----------------------------------------------------------------------------- class TestGetLicenses(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # get_licenses() #-------------------------------------------------------- @responses.activate def test_get_licenses_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/license/licenses') mock_response = '{"total_results": 13, "total_pages": 11, "prev_url": "prev_url", "next_url": "next_url", "resources": [{"name": "name", "offering_type": "offering_type", "seats_allowed": "seats_allowed", "seats_used": "seats_used", "owner_id": "owner_id", "license_offering_id": "license_offering_id", "license_id": "license_id", "license_owner_id": "license_owner_id", "license_type": "license_type", "license_provider_id": "license_provider_id", "license_product_id": "license_product_id", "license_provider_url": "license_provider_url", "effective_from": "effective_from", "effective_until": "effective_until", "internal": true, "offering_list": [{"id": "id", "name": "name", "label": "label", "offering_icon_url": "offering_icon_url", "account_id": "account_id", "catalog_id": "catalog_id"}]}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values license_provider_id = 'testString' account_id = 'testString' name = 'testString' license_type = 'testString' license_product_id = 'testString' # Invoke method response = service.get_licenses( license_provider_id, account_id=account_id, name=name, license_type=license_type, license_product_id=license_product_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = requests.utils.unquote(query_string) assert 'license_provider_id={}'.format(license_provider_id) in query_string assert 'account_id={}'.format(account_id) in query_string assert 'name={}'.format(name) in query_string assert 'license_type={}'.format(license_type) in query_string assert 'license_product_id={}'.format(license_product_id) in query_string #-------------------------------------------------------- # test_get_licenses_required_params() #-------------------------------------------------------- @responses.activate def test_get_licenses_required_params(self): # Set up mock url = self.preprocess_url(base_url + '/license/licenses') mock_response = '{"total_results": 13, "total_pages": 11, "prev_url": "prev_url", "next_url": "next_url", "resources": [{"name": "name", "offering_type": "offering_type", "seats_allowed": "seats_allowed", "seats_used": "seats_used", "owner_id": "owner_id", "license_offering_id": "license_offering_id", "license_id": "license_id", "license_owner_id": "license_owner_id", "license_type": "license_type", "license_provider_id": "license_provider_id", "license_product_id": "license_product_id", "license_provider_url": "license_provider_url", "effective_from": "effective_from", "effective_until": "effective_until", "internal": true, "offering_list": [{"id": "id", "name": "name", "label": "label", "offering_icon_url": "offering_icon_url", "account_id": "account_id", "catalog_id": "catalog_id"}]}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values license_provider_id = 'testString' # Invoke method response = service.get_licenses( license_provider_id, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = requests.utils.unquote(query_string) assert 'license_provider_id={}'.format(license_provider_id) in query_string #-------------------------------------------------------- # test_get_licenses_value_error() #-------------------------------------------------------- @responses.activate def test_get_licenses_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/license/licenses') mock_response = '{"total_results": 13, "total_pages": 11, "prev_url": "prev_url", "next_url": "next_url", "resources": [{"name": "name", "offering_type": "offering_type", "seats_allowed": "seats_allowed", "seats_used": "seats_used", "owner_id": "owner_id", "license_offering_id": "license_offering_id", "license_id": "license_id", "license_owner_id": "license_owner_id", "license_type": "license_type", "license_provider_id": "license_provider_id", "license_product_id": "license_product_id", "license_provider_url": "license_provider_url", "effective_from": "effective_from", "effective_until": "effective_until", "internal": true, "offering_list": [{"id": "id", "name": "name", "label": "label", "offering_icon_url": "offering_icon_url", "account_id": "account_id", "catalog_id": "catalog_id"}]}]}' responses.add(responses.GET, url, body=mock_response, content_type='application/json', status=200) # Set up parameter values license_provider_id = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "license_provider_id": license_provider_id, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.get_licenses(**req_copy) # endregion ############################################################################## # End of Service: Licensing ############################################################################## ############################################################################## # Start of Service: CrossAccountSearch ############################################################################## # region #----------------------------------------------------------------------------- # Test Class for search_license_versions #----------------------------------------------------------------------------- class TestSearchLicenseVersions(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # search_license_versions() #-------------------------------------------------------- @responses.activate def test_search_license_versions_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/search/license/versions') responses.add(responses.GET, url, status=200) # Set up parameter values q = 'testString' # Invoke method response = service.search_license_versions( q, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = requests.utils.unquote(query_string) assert 'q={}'.format(q) in query_string #-------------------------------------------------------- # test_search_license_versions_value_error() #-------------------------------------------------------- @responses.activate def test_search_license_versions_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/search/license/versions') responses.add(responses.GET, url, status=200) # Set up parameter values q = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "q": q, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.search_license_versions(**req_copy) #----------------------------------------------------------------------------- # Test Class for search_license_offerings #----------------------------------------------------------------------------- class TestSearchLicenseOfferings(): # Preprocess the request URL to ensure the mock response will be found. def preprocess_url(self, request_url: str): if re.fullmatch('.*/+', request_url) is None: return request_url else: return re.compile(request_url.rstrip('/') + '/+') #-------------------------------------------------------- # search_license_offerings() #-------------------------------------------------------- @responses.activate def test_search_license_offerings_all_params(self): # Set up mock url = self.preprocess_url(base_url + '/search/license/offerings') responses.add(responses.GET, url, status=200) # Set up parameter values q = 'testString' # Invoke method response = service.search_license_offerings( q, headers={} ) # Check for correct operation assert len(responses.calls) == 1 assert response.status_code == 200 # Validate query params query_string = responses.calls[0].request.url.split('?',1)[1] query_string = requests.utils.unquote(query_string) assert 'q={}'.format(q) in query_string #-------------------------------------------------------- # test_search_license_offerings_value_error() #-------------------------------------------------------- @responses.activate def test_search_license_offerings_value_error(self): # Set up mock url = self.preprocess_url(base_url + '/search/license/offerings') responses.add(responses.GET, url, status=200) # Set up parameter values q = 'testString' # Pass in all but one required param and check for a ValueError req_param_dict = { "q": q, } for param in req_param_dict.keys(): req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()} with pytest.raises(ValueError): service.search_license_offerings(**req_copy) # endregion ############################################################################## # End of Service: CrossAccountSearch ############################################################################## ############################################################################## # Start of Model Tests ############################################################################## # region #----------------------------------------------------------------------------- # Test Class for Account #----------------------------------------------------------------------------- class TestAccount(): #-------------------------------------------------------- # Test serialization/deserialization for Account #-------------------------------------------------------- def test_account_serialization(self): # Construct dict forms of any model objects needed in order to build this model. filter_terms_model = {} # FilterTerms filter_terms_model['filter_terms'] = ['testString'] category_filter_model = {} # CategoryFilter category_filter_model['include'] = True category_filter_model['filter'] = filter_terms_model id_filter_model = {} # IDFilter id_filter_model['include'] = filter_terms_model id_filter_model['exclude'] = filter_terms_model filters_model = {} # Filters filters_model['include_all'] = True filters_model['category_filters'] = {} filters_model['id_filters'] = id_filter_model # Construct a json representation of a Account model account_model_json = {} account_model_json['id'] = 'testString' account_model_json['account_filters'] = filters_model # Construct a model instance of Account by calling from_dict on the json representation account_model = Account.from_dict(account_model_json) assert account_model != False # Construct a model instance of Account by calling from_dict on the json representation account_model_dict = Account.from_dict(account_model_json).__dict__ account_model2 = Account(**account_model_dict) # Verify the model instances are equivalent assert account_model == account_model2 # Convert model instance back to dict and verify no loss of data account_model_json2 = account_model.to_dict() assert account_model_json2 == account_model_json #----------------------------------------------------------------------------- # Test Class for AccountGroup #----------------------------------------------------------------------------- class TestAccountGroup(): #-------------------------------------------------------- # Test serialization/deserialization for AccountGroup #-------------------------------------------------------- def test_account_group_serialization(self): # Construct dict forms of any model objects needed in order to build this model. filter_terms_model = {} # FilterTerms filter_terms_model['filter_terms'] = ['testString'] category_filter_model = {} # CategoryFilter category_filter_model['include'] = True category_filter_model['filter'] = filter_terms_model id_filter_model = {} # IDFilter id_filter_model['include'] = filter_terms_model id_filter_model['exclude'] = filter_terms_model filters_model = {} # Filters filters_model['include_all'] = True filters_model['category_filters'] = {} filters_model['id_filters'] = id_filter_model # Construct a json representation of a AccountGroup model account_group_model_json = {} account_group_model_json['id'] = 'testString' account_group_model_json['account_filters'] = filters_model # Construct a model instance of AccountGroup by calling from_dict on the json representation account_group_model = AccountGroup.from_dict(account_group_model_json) assert account_group_model != False # Construct a model instance of AccountGroup by calling from_dict on the json representation account_group_model_dict = AccountGroup.from_dict(account_group_model_json).__dict__ account_group_model2 = AccountGroup(**account_group_model_dict) # Verify the model instances are equivalent assert account_group_model == account_group_model2 # Convert model instance back to dict and verify no loss of data account_group_model_json2 = account_group_model.to_dict() assert account_group_model_json2 == account_group_model_json #----------------------------------------------------------------------------- # Test Class for AccumulatedFilters #----------------------------------------------------------------------------- class TestAccumulatedFilters(): #-------------------------------------------------------- # Test serialization/deserialization for AccumulatedFilters #-------------------------------------------------------- def test_accumulated_filters_serialization(self): # Construct dict forms of any model objects needed in order to build this model. filter_terms_model = {} # FilterTerms filter_terms_model['filter_terms'] = ['testString'] category_filter_model = {} # CategoryFilter category_filter_model['include'] = True category_filter_model['filter'] = filter_terms_model id_filter_model = {} # IDFilter id_filter_model['include'] = filter_terms_model id_filter_model['exclude'] = filter_terms_model accumulated_filters_catalog_filters_item_catalog_model = {} # AccumulatedFiltersCatalogFiltersItemCatalog accumulated_filters_catalog_filters_item_catalog_model['id'] = 'testString' accumulated_filters_catalog_filters_item_catalog_model['name'] = 'testString' filters_model = {} # Filters filters_model['include_all'] = True filters_model['category_filters'] = {} filters_model['id_filters'] = id_filter_model accumulated_filters_catalog_filters_item_model = {} # AccumulatedFiltersCatalogFiltersItem accumulated_filters_catalog_filters_item_model['catalog'] = accumulated_filters_catalog_filters_item_catalog_model accumulated_filters_catalog_filters_item_model['filters'] = filters_model # Construct a json representation of a AccumulatedFilters model accumulated_filters_model_json = {} accumulated_filters_model_json['account_filters'] = [filters_model] accumulated_filters_model_json['catalog_filters'] = [accumulated_filters_catalog_filters_item_model] # Construct a model instance of AccumulatedFilters by calling from_dict on the json representation accumulated_filters_model = AccumulatedFilters.from_dict(accumulated_filters_model_json) assert accumulated_filters_model != False # Construct a model instance of AccumulatedFilters by calling from_dict on the json representation accumulated_filters_model_dict = AccumulatedFilters.from_dict(accumulated_filters_model_json).__dict__ accumulated_filters_model2 = AccumulatedFilters(**accumulated_filters_model_dict) # Verify the model instances are equivalent assert accumulated_filters_model == accumulated_filters_model2 # Convert model instance back to dict and verify no loss of data accumulated_filters_model_json2 = accumulated_filters_model.to_dict() assert accumulated_filters_model_json2 == accumulated_filters_model_json #----------------------------------------------------------------------------- # Test Class for AccumulatedFiltersCatalogFiltersItem #----------------------------------------------------------------------------- class TestAccumulatedFiltersCatalogFiltersItem(): #-------------------------------------------------------- # Test serialization/deserialization for AccumulatedFiltersCatalogFiltersItem #-------------------------------------------------------- def test_accumulated_filters_catalog_filters_item_serialization(self): # Construct dict forms of any model objects needed in order to build this model. filter_terms_model = {} # FilterTerms filter_terms_model['filter_terms'] = ['testString'] category_filter_model = {} # CategoryFilter category_filter_model['include'] = True category_filter_model['filter'] = filter_terms_model id_filter_model = {} # IDFilter id_filter_model['include'] = filter_terms_model id_filter_model['exclude'] = filter_terms_model accumulated_filters_catalog_filters_item_catalog_model = {} # AccumulatedFiltersCatalogFiltersItemCatalog accumulated_filters_catalog_filters_item_catalog_model['id'] = 'testString' accumulated_filters_catalog_filters_item_catalog_model['name'] = 'testString' filters_model = {} # Filters filters_model['include_all'] = True filters_model['category_filters'] = {} filters_model['id_filters'] = id_filter_model # Construct a json representation of a AccumulatedFiltersCatalogFiltersItem model accumulated_filters_catalog_filters_item_model_json = {} accumulated_filters_catalog_filters_item_model_json['catalog'] = accumulated_filters_catalog_filters_item_catalog_model accumulated_filters_catalog_filters_item_model_json['filters'] = filters_model # Construct a model instance of AccumulatedFiltersCatalogFiltersItem by calling from_dict on the json representation accumulated_filters_catalog_filters_item_model = AccumulatedFiltersCatalogFiltersItem.from_dict(accumulated_filters_catalog_filters_item_model_json) assert accumulated_filters_catalog_filters_item_model != False # Construct a model instance of AccumulatedFiltersCatalogFiltersItem by calling from_dict on the json representation accumulated_filters_catalog_filters_item_model_dict = AccumulatedFiltersCatalogFiltersItem.from_dict(accumulated_filters_catalog_filters_item_model_json).__dict__ accumulated_filters_catalog_filters_item_model2 = AccumulatedFiltersCatalogFiltersItem(**accumulated_filters_catalog_filters_item_model_dict) # Verify the model instances are equivalent assert accumulated_filters_catalog_filters_item_model == accumulated_filters_catalog_filters_item_model2 # Convert model instance back to dict and verify no loss of data accumulated_filters_catalog_filters_item_model_json2 = accumulated_filters_catalog_filters_item_model.to_dict() assert accumulated_filters_catalog_filters_item_model_json2 == accumulated_filters_catalog_filters_item_model_json #----------------------------------------------------------------------------- # Test Class for AccumulatedFiltersCatalogFiltersItemCatalog #----------------------------------------------------------------------------- class TestAccumulatedFiltersCatalogFiltersItemCatalog(): #-------------------------------------------------------- # Test serialization/deserialization for AccumulatedFiltersCatalogFiltersItemCatalog #-------------------------------------------------------- def test_accumulated_filters_catalog_filters_item_catalog_serialization(self): # Construct a json representation of a AccumulatedFiltersCatalogFiltersItemCatalog model accumulated_filters_catalog_filters_item_catalog_model_json = {} accumulated_filters_catalog_filters_item_catalog_model_json['id'] = 'testString' accumulated_filters_catalog_filters_item_catalog_model_json['name'] = 'testString' # Construct a model instance of AccumulatedFiltersCatalogFiltersItemCatalog by calling from_dict on the json representation accumulated_filters_catalog_filters_item_catalog_model = AccumulatedFiltersCatalogFiltersItemCatalog.from_dict(accumulated_filters_catalog_filters_item_catalog_model_json) assert accumulated_filters_catalog_filters_item_catalog_model != False # Construct a model instance of AccumulatedFiltersCatalogFiltersItemCatalog by calling from_dict on the json representation accumulated_filters_catalog_filters_item_catalog_model_dict = AccumulatedFiltersCatalogFiltersItemCatalog.from_dict(accumulated_filters_catalog_filters_item_catalog_model_json).__dict__ accumulated_filters_catalog_filters_item_catalog_model2 = AccumulatedFiltersCatalogFiltersItemCatalog(**accumulated_filters_catalog_filters_item_catalog_model_dict) # Verify the model instances are equivalent assert accumulated_filters_catalog_filters_item_catalog_model == accumulated_filters_catalog_filters_item_catalog_model2 # Convert model instance back to dict and verify no loss of data accumulated_filters_catalog_filters_item_catalog_model_json2 = accumulated_filters_catalog_filters_item_catalog_model.to_dict() assert accumulated_filters_catalog_filters_item_catalog_model_json2 == accumulated_filters_catalog_filters_item_catalog_model_json #----------------------------------------------------------------------------- # Test Class for ApprovalResult #----------------------------------------------------------------------------- class TestApprovalResult(): #-------------------------------------------------------- # Test serialization/deserialization for ApprovalResult #-------------------------------------------------------- def test_approval_result_serialization(self): # Construct a json representation of a ApprovalResult model approval_result_model_json = {} approval_result_model_json['ibm'] = True approval_result_model_json['public'] = True approval_result_model_json['changed'] = True # Construct a model instance of ApprovalResult by calling from_dict on the json representation approval_result_model = ApprovalResult.from_dict(approval_result_model_json) assert approval_result_model != False # Construct a model instance of ApprovalResult by calling from_dict on the json representation approval_result_model_dict = ApprovalResult.from_dict(approval_result_model_json).__dict__ approval_result_model2 = ApprovalResult(**approval_result_model_dict) # Verify the model instances are equivalent assert approval_result_model == approval_result_model2 # Convert model instance back to dict and verify no loss of data approval_result_model_json2 = approval_result_model.to_dict() assert approval_result_model_json2 == approval_result_model_json #----------------------------------------------------------------------------- # Test Class for Catalog #----------------------------------------------------------------------------- class TestCatalog(): #-------------------------------------------------------- # Test serialization/deserialization for Catalog #-------------------------------------------------------- def test_catalog_serialization(self): # Construct dict forms of any model objects needed in order to build this model. filter_terms_model = {} # FilterTerms filter_terms_model['filter_terms'] = ['testString'] syndication_cluster_model = {} # SyndicationCluster syndication_cluster_model['region'] = 'testString' syndication_cluster_model['id'] = 'testString' syndication_cluster_model['name'] = 'testString' syndication_cluster_model['resource_group_name'] = 'testString' syndication_cluster_model['type'] = 'testString' syndication_cluster_model['namespaces'] = ['testString'] syndication_cluster_model['all_namespaces'] = True category_filter_model = {} # CategoryFilter category_filter_model['include'] = True category_filter_model['filter'] = filter_terms_model id_filter_model = {} # IDFilter id_filter_model['include'] = filter_terms_model id_filter_model['exclude'] = filter_terms_model syndication_authorization_model = {} # SyndicationAuthorization syndication_authorization_model['token'] = 'testString' syndication_authorization_model['last_run'] = '2020-01-28T18:40:40.123456Z' syndication_history_model = {} # SyndicationHistory syndication_history_model['namespaces'] = ['testString'] syndication_history_model['clusters'] = [syndication_cluster_model] syndication_history_model['last_run'] = '2020-01-28T18:40:40.123456Z' feature_model = {} # Feature feature_model['title'] = 'testString' feature_model['description'] = 'testString' filters_model = {} # Filters filters_model['include_all'] = True filters_model['category_filters'] = {} filters_model['id_filters'] = id_filter_model syndication_resource_model = {} # SyndicationResource syndication_resource_model['remove_related_components'] = True syndication_resource_model['clusters'] = [syndication_cluster_model] syndication_resource_model['history'] = syndication_history_model syndication_resource_model['authorization'] = syndication_authorization_model # Construct a json representation of a Catalog model catalog_model_json = {} catalog_model_json['id'] = 'testString' catalog_model_json['_rev'] = 'testString' catalog_model_json['label'] = 'testString' catalog_model_json['short_description'] = 'testString' catalog_model_json['catalog_icon_url'] = 'testString' catalog_model_json['tags'] = ['testString'] catalog_model_json['url'] = 'testString' catalog_model_json['crn'] = 'testString' catalog_model_json['offerings_url'] = 'testString' catalog_model_json['features'] = [feature_model] catalog_model_json['disabled'] = True catalog_model_json['created'] = '2020-01-28T18:40:40.123456Z' catalog_model_json['updated'] = '2020-01-28T18:40:40.123456Z' catalog_model_json['resource_group_id'] = 'testString' catalog_model_json['owning_account'] = 'testString' catalog_model_json['catalog_filters'] = filters_model catalog_model_json['syndication_settings'] = syndication_resource_model # Construct a model instance of Catalog by calling from_dict on the json representation catalog_model = Catalog.from_dict(catalog_model_json) assert catalog_model != False # Construct a model instance of Catalog by calling from_dict on the json representation catalog_model_dict = Catalog.from_dict(catalog_model_json).__dict__ catalog_model2 = Catalog(**catalog_model_dict) # Verify the model instances are equivalent assert catalog_model == catalog_model2 # Convert model instance back to dict and verify no loss of data catalog_model_json2 = catalog_model.to_dict() assert catalog_model_json2 == catalog_model_json #----------------------------------------------------------------------------- # Test Class for CatalogSearchResult #----------------------------------------------------------------------------- class TestCatalogSearchResult(): #-------------------------------------------------------- # Test serialization/deserialization for CatalogSearchResult #-------------------------------------------------------- def test_catalog_search_result_serialization(self): # Construct dict forms of any model objects needed in order to build this model. filter_terms_model = {} # FilterTerms filter_terms_model['filter_terms'] = ['testString'] syndication_cluster_model = {} # SyndicationCluster syndication_cluster_model['region'] = 'testString' syndication_cluster_model['id'] = 'testString' syndication_cluster_model['name'] = 'testString' syndication_cluster_model['resource_group_name'] = 'testString' syndication_cluster_model['type'] = 'testString' syndication_cluster_model['namespaces'] = ['testString'] syndication_cluster_model['all_namespaces'] = True category_filter_model = {} # CategoryFilter category_filter_model['include'] = True category_filter_model['filter'] = filter_terms_model id_filter_model = {} # IDFilter id_filter_model['include'] = filter_terms_model id_filter_model['exclude'] = filter_terms_model syndication_authorization_model = {} # SyndicationAuthorization syndication_authorization_model['token'] = 'testString' syndication_authorization_model['last_run'] = '2020-01-28T18:40:40.123456Z' syndication_history_model = {} # SyndicationHistory syndication_history_model['namespaces'] = ['testString'] syndication_history_model['clusters'] = [syndication_cluster_model] syndication_history_model['last_run'] = '2020-01-28T18:40:40.123456Z' feature_model = {} # Feature feature_model['title'] = 'testString' feature_model['description'] = 'testString' filters_model = {} # Filters filters_model['include_all'] = True filters_model['category_filters'] = {} filters_model['id_filters'] = id_filter_model syndication_resource_model = {} # SyndicationResource syndication_resource_model['remove_related_components'] = True syndication_resource_model['clusters'] = [syndication_cluster_model] syndication_resource_model['history'] = syndication_history_model syndication_resource_model['authorization'] = syndication_authorization_model catalog_model = {} # Catalog catalog_model['id'] = 'testString' catalog_model['_rev'] = 'testString' catalog_model['label'] = 'testString' catalog_model['short_description'] = 'testString' catalog_model['catalog_icon_url'] = 'testString' catalog_model['tags'] = ['testString'] catalog_model['url'] = 'testString' catalog_model['crn'] = 'testString' catalog_model['offerings_url'] = 'testString' catalog_model['features'] = [feature_model] catalog_model['disabled'] = True catalog_model['created'] = '2020-01-28T18:40:40.123456Z' catalog_model['updated'] = '2020-01-28T18:40:40.123456Z' catalog_model['resource_group_id'] = 'testString' catalog_model['owning_account'] = 'testString' catalog_model['catalog_filters'] = filters_model catalog_model['syndication_settings'] = syndication_resource_model # Construct a json representation of a CatalogSearchResult model catalog_search_result_model_json = {} catalog_search_result_model_json['offset'] = 38 catalog_search_result_model_json['limit'] = 38 catalog_search_result_model_json['total_count'] = 38 catalog_search_result_model_json['resource_count'] = 38 catalog_search_result_model_json['first'] = 'testString' catalog_search_result_model_json['last'] = 'testString' catalog_search_result_model_json['prev'] = 'testString' catalog_search_result_model_json['next'] = 'testString' catalog_search_result_model_json['resources'] = [catalog_model] # Construct a model instance of CatalogSearchResult by calling from_dict on the json representation catalog_search_result_model = CatalogSearchResult.from_dict(catalog_search_result_model_json) assert catalog_search_result_model != False # Construct a model instance of CatalogSearchResult by calling from_dict on the json representation catalog_search_result_model_dict = CatalogSearchResult.from_dict(catalog_search_result_model_json).__dict__ catalog_search_result_model2 = CatalogSearchResult(**catalog_search_result_model_dict) # Verify the model instances are equivalent assert catalog_search_result_model == catalog_search_result_model2 # Convert model instance back to dict and verify no loss of data catalog_search_result_model_json2 = catalog_search_result_model.to_dict() assert catalog_search_result_model_json2 == catalog_search_result_model_json #----------------------------------------------------------------------------- # Test Class for CategoryFilter #----------------------------------------------------------------------------- class TestCategoryFilter(): #-------------------------------------------------------- # Test serialization/deserialization for CategoryFilter #-------------------------------------------------------- def test_category_filter_serialization(self): # Construct dict forms of any model objects needed in order to build this model. filter_terms_model = {} # FilterTerms filter_terms_model['filter_terms'] = ['testString'] # Construct a json representation of a CategoryFilter model category_filter_model_json = {} category_filter_model_json['include'] = True category_filter_model_json['filter'] = filter_terms_model # Construct a model instance of CategoryFilter by calling from_dict on the json representation category_filter_model = CategoryFilter.from_dict(category_filter_model_json) assert category_filter_model != False # Construct a model instance of CategoryFilter by calling from_dict on the json representation category_filter_model_dict = CategoryFilter.from_dict(category_filter_model_json).__dict__ category_filter_model2 = CategoryFilter(**category_filter_model_dict) # Verify the model instances are equivalent assert category_filter_model == category_filter_model2 # Convert model instance back to dict and verify no loss of data category_filter_model_json2 = category_filter_model.to_dict() assert category_filter_model_json2 == category_filter_model_json #----------------------------------------------------------------------------- # Test Class for ClusterInfo #----------------------------------------------------------------------------- class TestClusterInfo(): #-------------------------------------------------------- # Test serialization/deserialization for ClusterInfo #-------------------------------------------------------- def test_cluster_info_serialization(self): # Construct a json representation of a ClusterInfo model cluster_info_model_json = {} cluster_info_model_json['resource_group_id'] = 'testString' cluster_info_model_json['resource_group_name'] = 'testString' cluster_info_model_json['id'] = 'testString' cluster_info_model_json['name'] = 'testString' cluster_info_model_json['region'] = 'testString' # Construct a model instance of ClusterInfo by calling from_dict on the json representation cluster_info_model = ClusterInfo.from_dict(cluster_info_model_json) assert cluster_info_model != False # Construct a model instance of ClusterInfo by calling from_dict on the json representation cluster_info_model_dict = ClusterInfo.from_dict(cluster_info_model_json).__dict__ cluster_info_model2 = ClusterInfo(**cluster_info_model_dict) # Verify the model instances are equivalent assert cluster_info_model == cluster_info_model2 # Convert model instance back to dict and verify no loss of data cluster_info_model_json2 = cluster_info_model.to_dict() assert cluster_info_model_json2 == cluster_info_model_json #----------------------------------------------------------------------------- # Test Class for ClusterSearchResult #----------------------------------------------------------------------------- class TestClusterSearchResult(): #-------------------------------------------------------- # Test serialization/deserialization for ClusterSearchResult #-------------------------------------------------------- def test_cluster_search_result_serialization(self): # Construct dict forms of any model objects needed in order to build this model. cluster_info_model = {} # ClusterInfo cluster_info_model['resource_group_id'] = 'testString' cluster_info_model['resource_group_name'] = 'testString' cluster_info_model['id'] = 'testString' cluster_info_model['name'] = 'testString' cluster_info_model['region'] = 'testString' # Construct a json representation of a ClusterSearchResult model cluster_search_result_model_json = {} cluster_search_result_model_json['offset'] = 38 cluster_search_result_model_json['limit'] = 38 cluster_search_result_model_json['total_count'] = 38 cluster_search_result_model_json['resource_count'] = 38 cluster_search_result_model_json['first'] = 'testString' cluster_search_result_model_json['last'] = 'testString' cluster_search_result_model_json['prev'] = 'testString' cluster_search_result_model_json['next'] = 'testString' cluster_search_result_model_json['resources'] = [cluster_info_model] # Construct a model instance of ClusterSearchResult by calling from_dict on the json representation cluster_search_result_model = ClusterSearchResult.from_dict(cluster_search_result_model_json) assert cluster_search_result_model != False # Construct a model instance of ClusterSearchResult by calling from_dict on the json representation cluster_search_result_model_dict = ClusterSearchResult.from_dict(cluster_search_result_model_json).__dict__ cluster_search_result_model2 = ClusterSearchResult(**cluster_search_result_model_dict) # Verify the model instances are equivalent assert cluster_search_result_model == cluster_search_result_model2 # Convert model instance back to dict and verify no loss of data cluster_search_result_model_json2 = cluster_search_result_model.to_dict() assert cluster_search_result_model_json2 == cluster_search_result_model_json #----------------------------------------------------------------------------- # Test Class for Configuration #----------------------------------------------------------------------------- class TestConfiguration(): #-------------------------------------------------------- # Test serialization/deserialization for Configuration #-------------------------------------------------------- def test_configuration_serialization(self): # Construct a json representation of a Configuration model configuration_model_json = {} configuration_model_json['key'] = 'testString' configuration_model_json['type'] = 'testString' configuration_model_json['default_value'] = { 'foo': 'bar' } configuration_model_json['value_constraint'] = 'testString' configuration_model_json['description'] = 'testString' configuration_model_json['required'] = True configuration_model_json['options'] = [{ 'foo': 'bar' }] configuration_model_json['hidden'] = True # Construct a model instance of Configuration by calling from_dict on the json representation configuration_model = Configuration.from_dict(configuration_model_json) assert configuration_model != False # Construct a model instance of Configuration by calling from_dict on the json representation configuration_model_dict = Configuration.from_dict(configuration_model_json).__dict__ configuration_model2 = Configuration(**configuration_model_dict) # Verify the model instances are equivalent assert configuration_model == configuration_model2 # Convert model instance back to dict and verify no loss of data configuration_model_json2 = configuration_model.to_dict() assert configuration_model_json2 == configuration_model_json #----------------------------------------------------------------------------- # Test Class for DeployRequestBodySchematics #----------------------------------------------------------------------------- class TestDeployRequestBodySchematics(): #-------------------------------------------------------- # Test serialization/deserialization for DeployRequestBodySchematics #-------------------------------------------------------- def test_deploy_request_body_schematics_serialization(self): # Construct a json representation of a DeployRequestBodySchematics model deploy_request_body_schematics_model_json = {} deploy_request_body_schematics_model_json['name'] = 'testString' deploy_request_body_schematics_model_json['description'] = 'testString' deploy_request_body_schematics_model_json['tags'] = ['testString'] deploy_request_body_schematics_model_json['resource_group_id'] = 'testString' # Construct a model instance of DeployRequestBodySchematics by calling from_dict on the json representation deploy_request_body_schematics_model = DeployRequestBodySchematics.from_dict(deploy_request_body_schematics_model_json) assert deploy_request_body_schematics_model != False # Construct a model instance of DeployRequestBodySchematics by calling from_dict on the json representation deploy_request_body_schematics_model_dict = DeployRequestBodySchematics.from_dict(deploy_request_body_schematics_model_json).__dict__ deploy_request_body_schematics_model2 = DeployRequestBodySchematics(**deploy_request_body_schematics_model_dict) # Verify the model instances are equivalent assert deploy_request_body_schematics_model == deploy_request_body_schematics_model2 # Convert model instance back to dict and verify no loss of data deploy_request_body_schematics_model_json2 = deploy_request_body_schematics_model.to_dict() assert deploy_request_body_schematics_model_json2 == deploy_request_body_schematics_model_json #----------------------------------------------------------------------------- # Test Class for DeployRequirementsCheck #----------------------------------------------------------------------------- class TestDeployRequirementsCheck(): #-------------------------------------------------------- # Test serialization/deserialization for DeployRequirementsCheck #-------------------------------------------------------- def test_deploy_requirements_check_serialization(self): # Construct a json representation of a DeployRequirementsCheck model deploy_requirements_check_model_json = {} deploy_requirements_check_model_json['pre_install'] = { 'foo': 'bar' } deploy_requirements_check_model_json['install'] = { 'foo': 'bar' } # Construct a model instance of DeployRequirementsCheck by calling from_dict on the json representation deploy_requirements_check_model = DeployRequirementsCheck.from_dict(deploy_requirements_check_model_json) assert deploy_requirements_check_model != False # Construct a model instance of DeployRequirementsCheck by calling from_dict on the json representation deploy_requirements_check_model_dict = DeployRequirementsCheck.from_dict(deploy_requirements_check_model_json).__dict__ deploy_requirements_check_model2 = DeployRequirementsCheck(**deploy_requirements_check_model_dict) # Verify the model instances are equivalent assert deploy_requirements_check_model == deploy_requirements_check_model2 # Convert model instance back to dict and verify no loss of data deploy_requirements_check_model_json2 = deploy_requirements_check_model.to_dict() assert deploy_requirements_check_model_json2 == deploy_requirements_check_model_json #----------------------------------------------------------------------------- # Test Class for Deployment #----------------------------------------------------------------------------- class TestDeployment(): #-------------------------------------------------------- # Test serialization/deserialization for Deployment #-------------------------------------------------------- def test_deployment_serialization(self): # Construct a json representation of a Deployment model deployment_model_json = {} deployment_model_json['id'] = 'testString' deployment_model_json['label'] = 'testString' deployment_model_json['name'] = 'testString' deployment_model_json['short_description'] = 'testString' deployment_model_json['long_description'] = 'testString' deployment_model_json['metadata'] = { 'foo': 'bar' } deployment_model_json['tags'] = ['testString'] deployment_model_json['created'] = '2020-01-28T18:40:40.123456Z' deployment_model_json['updated'] = '2020-01-28T18:40:40.123456Z' # Construct a model instance of Deployment by calling from_dict on the json representation deployment_model = Deployment.from_dict(deployment_model_json) assert deployment_model != False # Construct a model instance of Deployment by calling from_dict on the json representation deployment_model_dict = Deployment.from_dict(deployment_model_json).__dict__ deployment_model2 = Deployment(**deployment_model_dict) # Verify the model instances are equivalent assert deployment_model == deployment_model2 # Convert model instance back to dict and verify no loss of data deployment_model_json2 = deployment_model.to_dict() assert deployment_model_json2 == deployment_model_json #----------------------------------------------------------------------------- # Test Class for Enterprise #----------------------------------------------------------------------------- class TestEnterprise(): #-------------------------------------------------------- # Test serialization/deserialization for Enterprise #-------------------------------------------------------- def test_enterprise_serialization(self): # Construct dict forms of any model objects needed in order to build this model. filter_terms_model = {} # FilterTerms filter_terms_model['filter_terms'] = ['testString'] category_filter_model = {} # CategoryFilter category_filter_model['include'] = True category_filter_model['filter'] = filter_terms_model id_filter_model = {} # IDFilter id_filter_model['include'] = filter_terms_model id_filter_model['exclude'] = filter_terms_model filters_model = {} # Filters filters_model['include_all'] = True filters_model['category_filters'] = {} filters_model['id_filters'] = id_filter_model account_group_model = {} # AccountGroup account_group_model['id'] = 'testString' account_group_model['account_filters'] = filters_model enterprise_account_groups_model = {} # EnterpriseAccountGroups enterprise_account_groups_model['keys'] = account_group_model # Construct a json representation of a Enterprise model enterprise_model_json = {} enterprise_model_json['id'] = 'testString' enterprise_model_json['_rev'] = 'testString' enterprise_model_json['account_filters'] = filters_model enterprise_model_json['account_groups'] = enterprise_account_groups_model # Construct a model instance of Enterprise by calling from_dict on the json representation enterprise_model = Enterprise.from_dict(enterprise_model_json) assert enterprise_model != False # Construct a model instance of Enterprise by calling from_dict on the json representation enterprise_model_dict = Enterprise.from_dict(enterprise_model_json).__dict__ enterprise_model2 = Enterprise(**enterprise_model_dict) # Verify the model instances are equivalent assert enterprise_model == enterprise_model2 # Convert model instance back to dict and verify no loss of data enterprise_model_json2 = enterprise_model.to_dict() assert enterprise_model_json2 == enterprise_model_json #----------------------------------------------------------------------------- # Test Class for EnterpriseAccountGroups #----------------------------------------------------------------------------- class TestEnterpriseAccountGroups(): #-------------------------------------------------------- # Test serialization/deserialization for EnterpriseAccountGroups #-------------------------------------------------------- def test_enterprise_account_groups_serialization(self): # Construct dict forms of any model objects needed in order to build this model. filter_terms_model = {} # FilterTerms filter_terms_model['filter_terms'] = ['testString'] category_filter_model = {} # CategoryFilter category_filter_model['include'] = True category_filter_model['filter'] = filter_terms_model id_filter_model = {} # IDFilter id_filter_model['include'] = filter_terms_model id_filter_model['exclude'] = filter_terms_model filters_model = {} # Filters filters_model['include_all'] = True filters_model['category_filters'] = {} filters_model['id_filters'] = id_filter_model account_group_model = {} # AccountGroup account_group_model['id'] = 'testString' account_group_model['account_filters'] = filters_model # Construct a json representation of a EnterpriseAccountGroups model enterprise_account_groups_model_json = {} enterprise_account_groups_model_json['keys'] = account_group_model # Construct a model instance of EnterpriseAccountGroups by calling from_dict on the json representation enterprise_account_groups_model = EnterpriseAccountGroups.from_dict(enterprise_account_groups_model_json) assert enterprise_account_groups_model != False # Construct a model instance of EnterpriseAccountGroups by calling from_dict on the json representation enterprise_account_groups_model_dict = EnterpriseAccountGroups.from_dict(enterprise_account_groups_model_json).__dict__ enterprise_account_groups_model2 = EnterpriseAccountGroups(**enterprise_account_groups_model_dict) # Verify the model instances are equivalent assert enterprise_account_groups_model == enterprise_account_groups_model2 # Convert model instance back to dict and verify no loss of data enterprise_account_groups_model_json2 = enterprise_account_groups_model.to_dict() assert enterprise_account_groups_model_json2 == enterprise_account_groups_model_json #----------------------------------------------------------------------------- # Test Class for Feature #----------------------------------------------------------------------------- class TestFeature(): #-------------------------------------------------------- # Test serialization/deserialization for Feature #-------------------------------------------------------- def test_feature_serialization(self): # Construct a json representation of a Feature model feature_model_json = {} feature_model_json['title'] = 'testString' feature_model_json['description'] = 'testString' # Construct a model instance of Feature by calling from_dict on the json representation feature_model = Feature.from_dict(feature_model_json) assert feature_model != False # Construct a model instance of Feature by calling from_dict on the json representation feature_model_dict = Feature.from_dict(feature_model_json).__dict__ feature_model2 = Feature(**feature_model_dict) # Verify the model instances are equivalent assert feature_model == feature_model2 # Convert model instance back to dict and verify no loss of data feature_model_json2 = feature_model.to_dict() assert feature_model_json2 == feature_model_json #----------------------------------------------------------------------------- # Test Class for FilterTerms #----------------------------------------------------------------------------- class TestFilterTerms(): #-------------------------------------------------------- # Test serialization/deserialization for FilterTerms #-------------------------------------------------------- def test_filter_terms_serialization(self): # Construct a json representation of a FilterTerms model filter_terms_model_json = {} filter_terms_model_json['filter_terms'] = ['testString'] # Construct a model instance of FilterTerms by calling from_dict on the json representation filter_terms_model = FilterTerms.from_dict(filter_terms_model_json) assert filter_terms_model != False # Construct a model instance of FilterTerms by calling from_dict on the json representation filter_terms_model_dict = FilterTerms.from_dict(filter_terms_model_json).__dict__ filter_terms_model2 = FilterTerms(**filter_terms_model_dict) # Verify the model instances are equivalent assert filter_terms_model == filter_terms_model2 # Convert model instance back to dict and verify no loss of data filter_terms_model_json2 = filter_terms_model.to_dict() assert filter_terms_model_json2 == filter_terms_model_json #----------------------------------------------------------------------------- # Test Class for Filters #----------------------------------------------------------------------------- class TestFilters(): #-------------------------------------------------------- # Test serialization/deserialization for Filters #-------------------------------------------------------- def test_filters_serialization(self): # Construct dict forms of any model objects needed in order to build this model. filter_terms_model = {} # FilterTerms filter_terms_model['filter_terms'] = ['testString'] category_filter_model = {} # CategoryFilter category_filter_model['include'] = True category_filter_model['filter'] = filter_terms_model id_filter_model = {} # IDFilter id_filter_model['include'] = filter_terms_model id_filter_model['exclude'] = filter_terms_model # Construct a json representation of a Filters model filters_model_json = {} filters_model_json['include_all'] = True filters_model_json['category_filters'] = {} filters_model_json['id_filters'] = id_filter_model # Construct a model instance of Filters by calling from_dict on the json representation filters_model = Filters.from_dict(filters_model_json) assert filters_model != False # Construct a model instance of Filters by calling from_dict on the json representation filters_model_dict = Filters.from_dict(filters_model_json).__dict__ filters_model2 = Filters(**filters_model_dict) # Verify the model instances are equivalent assert filters_model == filters_model2 # Convert model instance back to dict and verify no loss of data filters_model_json2 = filters_model.to_dict() assert filters_model_json2 == filters_model_json #----------------------------------------------------------------------------- # Test Class for HelmChart #----------------------------------------------------------------------------- class TestHelmChart(): #-------------------------------------------------------- # Test serialization/deserialization for HelmChart #-------------------------------------------------------- def test_helm_chart_serialization(self): # Construct a json representation of a HelmChart model helm_chart_model_json = {} helm_chart_model_json['name'] = 'testString' helm_chart_model_json['description'] = 'testString' helm_chart_model_json['icon'] = 'testString' helm_chart_model_json['version'] = 'testString' helm_chart_model_json['appVersion'] = 'testString' # Construct a model instance of HelmChart by calling from_dict on the json representation helm_chart_model = HelmChart.from_dict(helm_chart_model_json) assert helm_chart_model != False # Construct a model instance of HelmChart by calling from_dict on the json representation helm_chart_model_dict = HelmChart.from_dict(helm_chart_model_json).__dict__ helm_chart_model2 = HelmChart(**helm_chart_model_dict) # Verify the model instances are equivalent assert helm_chart_model == helm_chart_model2 # Convert model instance back to dict and verify no loss of data helm_chart_model_json2 = helm_chart_model.to_dict() assert helm_chart_model_json2 == helm_chart_model_json #----------------------------------------------------------------------------- # Test Class for HelmPackage #----------------------------------------------------------------------------- class TestHelmPackage(): #-------------------------------------------------------- # Test serialization/deserialization for HelmPackage #-------------------------------------------------------- def test_helm_package_serialization(self): # Construct dict forms of any model objects needed in order to build this model. helm_chart_model = {} # HelmChart helm_chart_model['name'] = 'testString' helm_chart_model['description'] = 'testString' helm_chart_model['icon'] = 'testString' helm_chart_model['version'] = 'testString' helm_chart_model['appVersion'] = 'testString' helm_package_chart_model = {} # HelmPackageChart helm_package_chart_model['Chart.yaml'] = helm_chart_model helm_package_chart_model['sha'] = { 'foo': 'bar' } helm_package_chart_model['README.md'] = 'testString' helm_package_chart_model['values-metadata'] = { 'foo': 'bar' } helm_package_chart_model['license-metadata'] = { 'foo': 'bar' } # Construct a json representation of a HelmPackage model helm_package_model_json = {} helm_package_model_json['chart'] = helm_package_chart_model # Construct a model instance of HelmPackage by calling from_dict on the json representation helm_package_model = HelmPackage.from_dict(helm_package_model_json) assert helm_package_model != False # Construct a model instance of HelmPackage by calling from_dict on the json representation helm_package_model_dict = HelmPackage.from_dict(helm_package_model_json).__dict__ helm_package_model2 = HelmPackage(**helm_package_model_dict) # Verify the model instances are equivalent assert helm_package_model == helm_package_model2 # Convert model instance back to dict and verify no loss of data helm_package_model_json2 = helm_package_model.to_dict() assert helm_package_model_json2 == helm_package_model_json #----------------------------------------------------------------------------- # Test Class for HelmPackageChart #----------------------------------------------------------------------------- class TestHelmPackageChart(): #-------------------------------------------------------- # Test serialization/deserialization for HelmPackageChart #-------------------------------------------------------- def test_helm_package_chart_serialization(self): # Construct dict forms of any model objects needed in order to build this model. helm_chart_model = {} # HelmChart helm_chart_model['name'] = 'testString' helm_chart_model['description'] = 'testString' helm_chart_model['icon'] = 'testString' helm_chart_model['version'] = 'testString' helm_chart_model['appVersion'] = 'testString' # Construct a json representation of a HelmPackageChart model helm_package_chart_model_json = {} helm_package_chart_model_json['Chart.yaml'] = helm_chart_model helm_package_chart_model_json['sha'] = { 'foo': 'bar' } helm_package_chart_model_json['README.md'] = 'testString' helm_package_chart_model_json['values-metadata'] = { 'foo': 'bar' } helm_package_chart_model_json['license-metadata'] = { 'foo': 'bar' } # Construct a model instance of HelmPackageChart by calling from_dict on the json representation helm_package_chart_model = HelmPackageChart.from_dict(helm_package_chart_model_json) assert helm_package_chart_model != False # Construct a model instance of HelmPackageChart by calling from_dict on the json representation helm_package_chart_model_dict = HelmPackageChart.from_dict(helm_package_chart_model_json).__dict__ helm_package_chart_model2 = HelmPackageChart(**helm_package_chart_model_dict) # Verify the model instances are equivalent assert helm_package_chart_model == helm_package_chart_model2 # Convert model instance back to dict and verify no loss of data helm_package_chart_model_json2 = helm_package_chart_model.to_dict() assert helm_package_chart_model_json2 == helm_package_chart_model_json #----------------------------------------------------------------------------- # Test Class for HelmRepoList #----------------------------------------------------------------------------- class TestHelmRepoList(): #-------------------------------------------------------- # Test serialization/deserialization for HelmRepoList #-------------------------------------------------------- def test_helm_repo_list_serialization(self): # Construct dict forms of any model objects needed in order to build this model. maintainers_model = {} # Maintainers maintainers_model['email'] = 'testString' maintainers_model['name'] = 'testString' helm_repo_list_chart_model = {} # HelmRepoListChart helm_repo_list_chart_model['api_version'] = 'testString' helm_repo_list_chart_model['created'] = '2020-01-28T18:40:40.123456Z' helm_repo_list_chart_model['description'] = 'testString' helm_repo_list_chart_model['deprecated'] = True helm_repo_list_chart_model['digest'] = 'testString' helm_repo_list_chart_model['home'] = 'testString' helm_repo_list_chart_model['icon'] = 'testString' helm_repo_list_chart_model['keywords'] = ['testString'] helm_repo_list_chart_model['maintainers'] = [maintainers_model] helm_repo_list_chart_model['name'] = 'testString' helm_repo_list_chart_model['tiller_version'] = 'testString' helm_repo_list_chart_model['urls'] = ['testString'] helm_repo_list_chart_model['sources'] = ['testString'] helm_repo_list_chart_model['version'] = 'testString' helm_repo_list_chart_model['appVersion'] = 'testString' # Construct a json representation of a HelmRepoList model helm_repo_list_model_json = {} helm_repo_list_model_json['chart'] = helm_repo_list_chart_model # Construct a model instance of HelmRepoList by calling from_dict on the json representation helm_repo_list_model = HelmRepoList.from_dict(helm_repo_list_model_json) assert helm_repo_list_model != False # Construct a model instance of HelmRepoList by calling from_dict on the json representation helm_repo_list_model_dict = HelmRepoList.from_dict(helm_repo_list_model_json).__dict__ helm_repo_list_model2 = HelmRepoList(**helm_repo_list_model_dict) # Verify the model instances are equivalent assert helm_repo_list_model == helm_repo_list_model2 # Convert model instance back to dict and verify no loss of data helm_repo_list_model_json2 = helm_repo_list_model.to_dict() assert helm_repo_list_model_json2 == helm_repo_list_model_json #----------------------------------------------------------------------------- # Test Class for HelmRepoListChart #----------------------------------------------------------------------------- class TestHelmRepoListChart(): #-------------------------------------------------------- # Test serialization/deserialization for HelmRepoListChart #-------------------------------------------------------- def test_helm_repo_list_chart_serialization(self): # Construct dict forms of any model objects needed in order to build this model. maintainers_model = {} # Maintainers maintainers_model['email'] = 'testString' maintainers_model['name'] = 'testString' # Construct a json representation of a HelmRepoListChart model helm_repo_list_chart_model_json = {} helm_repo_list_chart_model_json['api_version'] = 'testString' helm_repo_list_chart_model_json['created'] = '2020-01-28T18:40:40.123456Z' helm_repo_list_chart_model_json['description'] = 'testString' helm_repo_list_chart_model_json['deprecated'] = True helm_repo_list_chart_model_json['digest'] = 'testString' helm_repo_list_chart_model_json['home'] = 'testString' helm_repo_list_chart_model_json['icon'] = 'testString' helm_repo_list_chart_model_json['keywords'] = ['testString'] helm_repo_list_chart_model_json['maintainers'] = [maintainers_model] helm_repo_list_chart_model_json['name'] = 'testString' helm_repo_list_chart_model_json['tiller_version'] = 'testString' helm_repo_list_chart_model_json['urls'] = ['testString'] helm_repo_list_chart_model_json['sources'] = ['testString'] helm_repo_list_chart_model_json['version'] = 'testString' helm_repo_list_chart_model_json['appVersion'] = 'testString' # Construct a model instance of HelmRepoListChart by calling from_dict on the json representation helm_repo_list_chart_model = HelmRepoListChart.from_dict(helm_repo_list_chart_model_json) assert helm_repo_list_chart_model != False # Construct a model instance of HelmRepoListChart by calling from_dict on the json representation helm_repo_list_chart_model_dict = HelmRepoListChart.from_dict(helm_repo_list_chart_model_json).__dict__ helm_repo_list_chart_model2 = HelmRepoListChart(**helm_repo_list_chart_model_dict) # Verify the model instances are equivalent assert helm_repo_list_chart_model == helm_repo_list_chart_model2 # Convert model instance back to dict and verify no loss of data helm_repo_list_chart_model_json2 = helm_repo_list_chart_model.to_dict() assert helm_repo_list_chart_model_json2 == helm_repo_list_chart_model_json #----------------------------------------------------------------------------- # Test Class for IDFilter #----------------------------------------------------------------------------- class TestIDFilter(): #-------------------------------------------------------- # Test serialization/deserialization for IDFilter #-------------------------------------------------------- def test_id_filter_serialization(self): # Construct dict forms of any model objects needed in order to build this model. filter_terms_model = {} # FilterTerms filter_terms_model['filter_terms'] = ['testString'] # Construct a json representation of a IDFilter model id_filter_model_json = {} id_filter_model_json['include'] = filter_terms_model id_filter_model_json['exclude'] = filter_terms_model # Construct a model instance of IDFilter by calling from_dict on the json representation id_filter_model = IDFilter.from_dict(id_filter_model_json) assert id_filter_model != False # Construct a model instance of IDFilter by calling from_dict on the json representation id_filter_model_dict = IDFilter.from_dict(id_filter_model_json).__dict__ id_filter_model2 = IDFilter(**id_filter_model_dict) # Verify the model instances are equivalent assert id_filter_model == id_filter_model2 # Convert model instance back to dict and verify no loss of data id_filter_model_json2 = id_filter_model.to_dict() assert id_filter_model_json2 == id_filter_model_json #----------------------------------------------------------------------------- # Test Class for Image #----------------------------------------------------------------------------- class TestImage(): #-------------------------------------------------------- # Test serialization/deserialization for Image #-------------------------------------------------------- def test_image_serialization(self): # Construct a json representation of a Image model image_model_json = {} image_model_json['image'] = 'testString' # Construct a model instance of Image by calling from_dict on the json representation image_model = Image.from_dict(image_model_json) assert image_model != False # Construct a model instance of Image by calling from_dict on the json representation image_model_dict = Image.from_dict(image_model_json).__dict__ image_model2 = Image(**image_model_dict) # Verify the model instances are equivalent assert image_model == image_model2 # Convert model instance back to dict and verify no loss of data image_model_json2 = image_model.to_dict() assert image_model_json2 == image_model_json #----------------------------------------------------------------------------- # Test Class for ImageManifest #----------------------------------------------------------------------------- class TestImageManifest(): #-------------------------------------------------------- # Test serialization/deserialization for ImageManifest #-------------------------------------------------------- def test_image_manifest_serialization(self): # Construct dict forms of any model objects needed in order to build this model. image_model = {} # Image image_model['image'] = 'testString' # Construct a json representation of a ImageManifest model image_manifest_model_json = {} image_manifest_model_json['description'] = 'testString' image_manifest_model_json['images'] = [image_model] # Construct a model instance of ImageManifest by calling from_dict on the json representation image_manifest_model = ImageManifest.from_dict(image_manifest_model_json) assert image_manifest_model != False # Construct a model instance of ImageManifest by calling from_dict on the json representation image_manifest_model_dict = ImageManifest.from_dict(image_manifest_model_json).__dict__ image_manifest_model2 = ImageManifest(**image_manifest_model_dict) # Verify the model instances are equivalent assert image_manifest_model == image_manifest_model2 # Convert model instance back to dict and verify no loss of data image_manifest_model_json2 = image_manifest_model.to_dict() assert image_manifest_model_json2 == image_manifest_model_json #----------------------------------------------------------------------------- # Test Class for InstallStatus #----------------------------------------------------------------------------- class TestInstallStatus(): #-------------------------------------------------------- # Test serialization/deserialization for InstallStatus #-------------------------------------------------------- def test_install_status_serialization(self): # Construct dict forms of any model objects needed in order to build this model. install_status_content_mgmt_model = {} # InstallStatusContentMgmt install_status_content_mgmt_model['pods'] = [{ 'foo': 'bar' }] install_status_content_mgmt_model['errors'] = [{ 'foo': 'bar' }] install_status_metadata_model = {} # InstallStatusMetadata install_status_metadata_model['cluster_id'] = 'testString' install_status_metadata_model['region'] = 'testString' install_status_metadata_model['namespace'] = 'testString' install_status_metadata_model['workspace_id'] = 'testString' install_status_metadata_model['workspace_name'] = 'testString' install_status_release_model = {} # InstallStatusRelease install_status_release_model['deployments'] = [{ 'foo': 'bar' }] install_status_release_model['replicasets'] = [{ 'foo': 'bar' }] install_status_release_model['statefulsets'] = [{ 'foo': 'bar' }] install_status_release_model['pods'] = [{ 'foo': 'bar' }] install_status_release_model['errors'] = [{ 'foo': 'bar' }] # Construct a json representation of a InstallStatus model install_status_model_json = {} install_status_model_json['metadata'] = install_status_metadata_model install_status_model_json['release'] = install_status_release_model install_status_model_json['content_mgmt'] = install_status_content_mgmt_model # Construct a model instance of InstallStatus by calling from_dict on the json representation install_status_model = InstallStatus.from_dict(install_status_model_json) assert install_status_model != False # Construct a model instance of InstallStatus by calling from_dict on the json representation install_status_model_dict = InstallStatus.from_dict(install_status_model_json).__dict__ install_status_model2 = InstallStatus(**install_status_model_dict) # Verify the model instances are equivalent assert install_status_model == install_status_model2 # Convert model instance back to dict and verify no loss of data install_status_model_json2 = install_status_model.to_dict() assert install_status_model_json2 == install_status_model_json #----------------------------------------------------------------------------- # Test Class for InstallStatusContentMgmt #----------------------------------------------------------------------------- class TestInstallStatusContentMgmt(): #-------------------------------------------------------- # Test serialization/deserialization for InstallStatusContentMgmt #-------------------------------------------------------- def test_install_status_content_mgmt_serialization(self): # Construct a json representation of a InstallStatusContentMgmt model install_status_content_mgmt_model_json = {} install_status_content_mgmt_model_json['pods'] = [{ 'foo': 'bar' }] install_status_content_mgmt_model_json['errors'] = [{ 'foo': 'bar' }] # Construct a model instance of InstallStatusContentMgmt by calling from_dict on the json representation install_status_content_mgmt_model = InstallStatusContentMgmt.from_dict(install_status_content_mgmt_model_json) assert install_status_content_mgmt_model != False # Construct a model instance of InstallStatusContentMgmt by calling from_dict on the json representation install_status_content_mgmt_model_dict = InstallStatusContentMgmt.from_dict(install_status_content_mgmt_model_json).__dict__ install_status_content_mgmt_model2 = InstallStatusContentMgmt(**install_status_content_mgmt_model_dict) # Verify the model instances are equivalent assert install_status_content_mgmt_model == install_status_content_mgmt_model2 # Convert model instance back to dict and verify no loss of data install_status_content_mgmt_model_json2 = install_status_content_mgmt_model.to_dict() assert install_status_content_mgmt_model_json2 == install_status_content_mgmt_model_json #----------------------------------------------------------------------------- # Test Class for InstallStatusMetadata #----------------------------------------------------------------------------- class TestInstallStatusMetadata(): #-------------------------------------------------------- # Test serialization/deserialization for InstallStatusMetadata #-------------------------------------------------------- def test_install_status_metadata_serialization(self): # Construct a json representation of a InstallStatusMetadata model install_status_metadata_model_json = {} install_status_metadata_model_json['cluster_id'] = 'testString' install_status_metadata_model_json['region'] = 'testString' install_status_metadata_model_json['namespace'] = 'testString' install_status_metadata_model_json['workspace_id'] = 'testString' install_status_metadata_model_json['workspace_name'] = 'testString' # Construct a model instance of InstallStatusMetadata by calling from_dict on the json representation install_status_metadata_model = InstallStatusMetadata.from_dict(install_status_metadata_model_json) assert install_status_metadata_model != False # Construct a model instance of InstallStatusMetadata by calling from_dict on the json representation install_status_metadata_model_dict = InstallStatusMetadata.from_dict(install_status_metadata_model_json).__dict__ install_status_metadata_model2 = InstallStatusMetadata(**install_status_metadata_model_dict) # Verify the model instances are equivalent assert install_status_metadata_model == install_status_metadata_model2 # Convert model instance back to dict and verify no loss of data install_status_metadata_model_json2 = install_status_metadata_model.to_dict() assert install_status_metadata_model_json2 == install_status_metadata_model_json #----------------------------------------------------------------------------- # Test Class for InstallStatusRelease #----------------------------------------------------------------------------- class TestInstallStatusRelease(): #-------------------------------------------------------- # Test serialization/deserialization for InstallStatusRelease #-------------------------------------------------------- def test_install_status_release_serialization(self): # Construct a json representation of a InstallStatusRelease model install_status_release_model_json = {} install_status_release_model_json['deployments'] = [{ 'foo': 'bar' }] install_status_release_model_json['replicasets'] = [{ 'foo': 'bar' }] install_status_release_model_json['statefulsets'] = [{ 'foo': 'bar' }] install_status_release_model_json['pods'] = [{ 'foo': 'bar' }] install_status_release_model_json['errors'] = [{ 'foo': 'bar' }] # Construct a model instance of InstallStatusRelease by calling from_dict on the json representation install_status_release_model = InstallStatusRelease.from_dict(install_status_release_model_json) assert install_status_release_model != False # Construct a model instance of InstallStatusRelease by calling from_dict on the json representation install_status_release_model_dict = InstallStatusRelease.from_dict(install_status_release_model_json).__dict__ install_status_release_model2 = InstallStatusRelease(**install_status_release_model_dict) # Verify the model instances are equivalent assert install_status_release_model == install_status_release_model2 # Convert model instance back to dict and verify no loss of data install_status_release_model_json2 = install_status_release_model.to_dict() assert install_status_release_model_json2 == install_status_release_model_json #----------------------------------------------------------------------------- # Test Class for Kind #----------------------------------------------------------------------------- class TestKind(): #-------------------------------------------------------- # Test serialization/deserialization for Kind #-------------------------------------------------------- def test_kind_serialization(self): # Construct dict forms of any model objects needed in order to build this model. configuration_model = {} # Configuration configuration_model['key'] = 'testString' configuration_model['type'] = 'testString' configuration_model['default_value'] = { 'foo': 'bar' } configuration_model['value_constraint'] = 'testString' configuration_model['description'] = 'testString' configuration_model['required'] = True configuration_model['options'] = [{ 'foo': 'bar' }] configuration_model['hidden'] = True deployment_model = {} # Deployment deployment_model['id'] = 'testString' deployment_model['label'] = 'testString' deployment_model['name'] = 'testString' deployment_model['short_description'] = 'testString' deployment_model['long_description'] = 'testString' deployment_model['metadata'] = { 'foo': 'bar' } deployment_model['tags'] = ['testString'] deployment_model['created'] = '2020-01-28T18:40:40.123456Z' deployment_model['updated'] = '2020-01-28T18:40:40.123456Z' feature_model = {} # Feature feature_model['title'] = 'testString' feature_model['description'] = 'testString' license_model = {} # License license_model['id'] = 'testString' license_model['name'] = 'testString' license_model['type'] = 'testString' license_model['url'] = 'testString' license_model['description'] = 'testString' resource_model = {} # Resource resource_model['type'] = 'mem' resource_model['value'] = { 'foo': 'bar' } script_model = {} # Script script_model['instructions'] = 'testString' script_model['script'] = 'testString' script_model['script_permission'] = 'testString' script_model['delete_script'] = 'testString' script_model['scope'] = 'testString' state_model = {} # State state_model['current'] = 'testString' state_model['current_entered'] = '2020-01-28T18:40:40.123456Z' state_model['pending'] = 'testString' state_model['pending_requested'] = '2020-01-28T18:40:40.123456Z' state_model['previous'] = 'testString' validation_model = {} # Validation validation_model['validated'] = '2020-01-28T18:40:40.123456Z' validation_model['requested'] = '2020-01-28T18:40:40.123456Z' validation_model['state'] = 'testString' validation_model['last_operation'] = 'testString' validation_model['target'] = { 'foo': 'bar' } version_entitlement_model = {} # VersionEntitlement version_entitlement_model['provider_name'] = 'testString' version_entitlement_model['provider_id'] = 'testString' version_entitlement_model['product_id'] = 'testString' version_entitlement_model['part_numbers'] = ['testString'] version_entitlement_model['image_repo_name'] = 'testString' plan_model = {} # Plan plan_model['id'] = 'testString' plan_model['label'] = 'testString' plan_model['name'] = 'testString' plan_model['short_description'] = 'testString' plan_model['long_description'] = 'testString' plan_model['metadata'] = { 'foo': 'bar' } plan_model['tags'] = ['testString'] plan_model['additional_features'] = [feature_model] plan_model['created'] = '2020-01-28T18:40:40.123456Z' plan_model['updated'] = '2020-01-28T18:40:40.123456Z' plan_model['deployments'] = [deployment_model] version_model = {} # Version version_model['id'] = 'testString' version_model['_rev'] = 'testString' version_model['crn'] = 'testString' version_model['version'] = 'testString' version_model['sha'] = 'testString' version_model['created'] = '2020-01-28T18:40:40.123456Z' version_model['updated'] = '2020-01-28T18:40:40.123456Z' version_model['offering_id'] = 'testString' version_model['catalog_id'] = 'testString' version_model['kind_id'] = 'testString' version_model['tags'] = ['testString'] version_model['repo_url'] = 'testString' version_model['source_url'] = 'testString' version_model['tgz_url'] = 'testString' version_model['configuration'] = [configuration_model] version_model['metadata'] = { 'foo': 'bar' } version_model['validation'] = validation_model version_model['required_resources'] = [resource_model] version_model['single_instance'] = True version_model['install'] = script_model version_model['pre_install'] = [script_model] version_model['entitlement'] = version_entitlement_model version_model['licenses'] = [license_model] version_model['image_manifest_url'] = 'testString' version_model['deprecated'] = True version_model['package_version'] = 'testString' version_model['state'] = state_model version_model['version_locator'] = 'testString' version_model['console_url'] = 'testString' version_model['long_description'] = 'testString' version_model['whitelisted_accounts'] = ['testString'] # Construct a json representation of a Kind model kind_model_json = {} kind_model_json['id'] = 'testString' kind_model_json['format_kind'] = 'testString' kind_model_json['target_kind'] = 'testString' kind_model_json['metadata'] = { 'foo': 'bar' } kind_model_json['install_description'] = 'testString' kind_model_json['tags'] = ['testString'] kind_model_json['additional_features'] = [feature_model] kind_model_json['created'] = '2020-01-28T18:40:40.123456Z' kind_model_json['updated'] = '2020-01-28T18:40:40.123456Z' kind_model_json['versions'] = [version_model] kind_model_json['plans'] = [plan_model] # Construct a model instance of Kind by calling from_dict on the json representation kind_model = Kind.from_dict(kind_model_json) assert kind_model != False # Construct a model instance of Kind by calling from_dict on the json representation kind_model_dict = Kind.from_dict(kind_model_json).__dict__ kind_model2 = Kind(**kind_model_dict) # Verify the model instances are equivalent assert kind_model == kind_model2 # Convert model instance back to dict and verify no loss of data kind_model_json2 = kind_model.to_dict() assert kind_model_json2 == kind_model_json #----------------------------------------------------------------------------- # Test Class for License #----------------------------------------------------------------------------- class TestLicense(): #-------------------------------------------------------- # Test serialization/deserialization for License #-------------------------------------------------------- def test_license_serialization(self): # Construct a json representation of a License model license_model_json = {} license_model_json['id'] = 'testString' license_model_json['name'] = 'testString' license_model_json['type'] = 'testString' license_model_json['url'] = 'testString' license_model_json['description'] = 'testString' # Construct a model instance of License by calling from_dict on the json representation license_model = License.from_dict(license_model_json) assert license_model != False # Construct a model instance of License by calling from_dict on the json representation license_model_dict = License.from_dict(license_model_json).__dict__ license_model2 = License(**license_model_dict) # Verify the model instances are equivalent assert license_model == license_model2 # Convert model instance back to dict and verify no loss of data license_model_json2 = license_model.to_dict() assert license_model_json2 == license_model_json #----------------------------------------------------------------------------- # Test Class for LicenseEntitlement #----------------------------------------------------------------------------- class TestLicenseEntitlement(): #-------------------------------------------------------- # Test serialization/deserialization for LicenseEntitlement #-------------------------------------------------------- def test_license_entitlement_serialization(self): # Construct dict forms of any model objects needed in order to build this model. license_entitlement_history_item_model = {} # LicenseEntitlementHistoryItem license_entitlement_history_item_model['action'] = 'testString' license_entitlement_history_item_model['user'] = 'testString' license_entitlement_history_item_model['date'] = 'testString' license_offering_reference_model = {} # LicenseOfferingReference license_offering_reference_model['id'] = 'testString' license_offering_reference_model['name'] = 'testString' license_offering_reference_model['label'] = 'testString' license_offering_reference_model['offering_icon_url'] = 'testString' license_offering_reference_model['account_id'] = 'testString' license_offering_reference_model['catalog_id'] = 'testString' # Construct a json representation of a LicenseEntitlement model license_entitlement_model_json = {} license_entitlement_model_json['name'] = 'testString' license_entitlement_model_json['id'] = 'testString' license_entitlement_model_json['crn'] = 'testString' license_entitlement_model_json['url'] = 'testString' license_entitlement_model_json['offering_type'] = 'testString' license_entitlement_model_json['state'] = 'testString' license_entitlement_model_json['effective_from'] = 'testString' license_entitlement_model_json['effective_until'] = 'testString' license_entitlement_model_json['account_id'] = 'testString' license_entitlement_model_json['owner_id'] = 'testString' license_entitlement_model_json['version_id'] = 'testString' license_entitlement_model_json['license_offering_id'] = 'testString' license_entitlement_model_json['license_id'] = 'testString' license_entitlement_model_json['license_owner_id'] = 'testString' license_entitlement_model_json['license_type'] = 'testString' license_entitlement_model_json['license_provider_id'] = 'testString' license_entitlement_model_json['license_provider_url'] = 'testString' license_entitlement_model_json['license_product_id'] = 'testString' license_entitlement_model_json['namespace_repository'] = 'testString' license_entitlement_model_json['apikey'] = 'testString' license_entitlement_model_json['create_by'] = 'testString' license_entitlement_model_json['update_by'] = 'testString' license_entitlement_model_json['create_at'] = 'testString' license_entitlement_model_json['updated_at'] = 'testString' license_entitlement_model_json['history'] = [license_entitlement_history_item_model] license_entitlement_model_json['offering_list'] = [license_offering_reference_model] # Construct a model instance of LicenseEntitlement by calling from_dict on the json representation license_entitlement_model = LicenseEntitlement.from_dict(license_entitlement_model_json) assert license_entitlement_model != False # Construct a model instance of LicenseEntitlement by calling from_dict on the json representation license_entitlement_model_dict = LicenseEntitlement.from_dict(license_entitlement_model_json).__dict__ license_entitlement_model2 = LicenseEntitlement(**license_entitlement_model_dict) # Verify the model instances are equivalent assert license_entitlement_model == license_entitlement_model2 # Convert model instance back to dict and verify no loss of data license_entitlement_model_json2 = license_entitlement_model.to_dict() assert license_entitlement_model_json2 == license_entitlement_model_json #----------------------------------------------------------------------------- # Test Class for LicenseEntitlementHistoryItem #----------------------------------------------------------------------------- class TestLicenseEntitlementHistoryItem(): #-------------------------------------------------------- # Test serialization/deserialization for LicenseEntitlementHistoryItem #-------------------------------------------------------- def test_license_entitlement_history_item_serialization(self): # Construct a json representation of a LicenseEntitlementHistoryItem model license_entitlement_history_item_model_json = {} license_entitlement_history_item_model_json['action'] = 'testString' license_entitlement_history_item_model_json['user'] = 'testString' license_entitlement_history_item_model_json['date'] = 'testString' # Construct a model instance of LicenseEntitlementHistoryItem by calling from_dict on the json representation license_entitlement_history_item_model = LicenseEntitlementHistoryItem.from_dict(license_entitlement_history_item_model_json) assert license_entitlement_history_item_model != False # Construct a model instance of LicenseEntitlementHistoryItem by calling from_dict on the json representation license_entitlement_history_item_model_dict = LicenseEntitlementHistoryItem.from_dict(license_entitlement_history_item_model_json).__dict__ license_entitlement_history_item_model2 = LicenseEntitlementHistoryItem(**license_entitlement_history_item_model_dict) # Verify the model instances are equivalent assert license_entitlement_history_item_model == license_entitlement_history_item_model2 # Convert model instance back to dict and verify no loss of data license_entitlement_history_item_model_json2 = license_entitlement_history_item_model.to_dict() assert license_entitlement_history_item_model_json2 == license_entitlement_history_item_model_json #----------------------------------------------------------------------------- # Test Class for LicenseEntitlements #----------------------------------------------------------------------------- class TestLicenseEntitlements(): #-------------------------------------------------------- # Test serialization/deserialization for LicenseEntitlements #-------------------------------------------------------- def test_license_entitlements_serialization(self): # Construct dict forms of any model objects needed in order to build this model. license_entitlement_history_item_model = {} # LicenseEntitlementHistoryItem license_entitlement_history_item_model['action'] = 'testString' license_entitlement_history_item_model['user'] = 'testString' license_entitlement_history_item_model['date'] = 'testString' license_offering_reference_model = {} # LicenseOfferingReference license_offering_reference_model['id'] = 'testString' license_offering_reference_model['name'] = 'testString' license_offering_reference_model['label'] = 'testString' license_offering_reference_model['offering_icon_url'] = 'testString' license_offering_reference_model['account_id'] = 'testString' license_offering_reference_model['catalog_id'] = 'testString' license_entitlement_model = {} # LicenseEntitlement license_entitlement_model['name'] = 'testString' license_entitlement_model['id'] = 'testString' license_entitlement_model['crn'] = 'testString' license_entitlement_model['url'] = 'testString' license_entitlement_model['offering_type'] = 'testString' license_entitlement_model['state'] = 'testString' license_entitlement_model['effective_from'] = 'testString' license_entitlement_model['effective_until'] = 'testString' license_entitlement_model['account_id'] = 'testString' license_entitlement_model['owner_id'] = 'testString' license_entitlement_model['version_id'] = 'testString' license_entitlement_model['license_offering_id'] = 'testString' license_entitlement_model['license_id'] = 'testString' license_entitlement_model['license_owner_id'] = 'testString' license_entitlement_model['license_type'] = 'testString' license_entitlement_model['license_provider_id'] = 'testString' license_entitlement_model['license_provider_url'] = 'testString' license_entitlement_model['license_product_id'] = 'testString' license_entitlement_model['namespace_repository'] = 'testString' license_entitlement_model['apikey'] = 'testString' license_entitlement_model['create_by'] = 'testString' license_entitlement_model['update_by'] = 'testString' license_entitlement_model['create_at'] = 'testString' license_entitlement_model['updated_at'] = 'testString' license_entitlement_model['history'] = [license_entitlement_history_item_model] license_entitlement_model['offering_list'] = [license_offering_reference_model] # Construct a json representation of a LicenseEntitlements model license_entitlements_model_json = {} license_entitlements_model_json['total_results'] = 38 license_entitlements_model_json['total_pages'] = 38 license_entitlements_model_json['prev_url'] = 'testString' license_entitlements_model_json['next_url'] = 'testString' license_entitlements_model_json['resources'] = [license_entitlement_model] # Construct a model instance of LicenseEntitlements by calling from_dict on the json representation license_entitlements_model = LicenseEntitlements.from_dict(license_entitlements_model_json) assert license_entitlements_model != False # Construct a model instance of LicenseEntitlements by calling from_dict on the json representation license_entitlements_model_dict = LicenseEntitlements.from_dict(license_entitlements_model_json).__dict__ license_entitlements_model2 = LicenseEntitlements(**license_entitlements_model_dict) # Verify the model instances are equivalent assert license_entitlements_model == license_entitlements_model2 # Convert model instance back to dict and verify no loss of data license_entitlements_model_json2 = license_entitlements_model.to_dict() assert license_entitlements_model_json2 == license_entitlements_model_json #----------------------------------------------------------------------------- # Test Class for LicenseObject #----------------------------------------------------------------------------- class TestLicenseObject(): #-------------------------------------------------------- # Test serialization/deserialization for LicenseObject #-------------------------------------------------------- def test_license_object_serialization(self): # Construct dict forms of any model objects needed in order to build this model. license_offering_reference_model = {} # LicenseOfferingReference license_offering_reference_model['id'] = 'testString' license_offering_reference_model['name'] = 'testString' license_offering_reference_model['label'] = 'testString' license_offering_reference_model['offering_icon_url'] = 'testString' license_offering_reference_model['account_id'] = 'testString' license_offering_reference_model['catalog_id'] = 'testString' # Construct a json representation of a LicenseObject model license_object_model_json = {} license_object_model_json['name'] = 'testString' license_object_model_json['offering_type'] = 'testString' license_object_model_json['seats_allowed'] = 'testString' license_object_model_json['seats_used'] = 'testString' license_object_model_json['owner_id'] = 'testString' license_object_model_json['license_offering_id'] = 'testString' license_object_model_json['license_id'] = 'testString' license_object_model_json['license_owner_id'] = 'testString' license_object_model_json['license_type'] = 'testString' license_object_model_json['license_provider_id'] = 'testString' license_object_model_json['license_product_id'] = 'testString' license_object_model_json['license_provider_url'] = 'testString' license_object_model_json['effective_from'] = 'testString' license_object_model_json['effective_until'] = 'testString' license_object_model_json['internal'] = True license_object_model_json['offering_list'] = [license_offering_reference_model] # Construct a model instance of LicenseObject by calling from_dict on the json representation license_object_model = LicenseObject.from_dict(license_object_model_json) assert license_object_model != False # Construct a model instance of LicenseObject by calling from_dict on the json representation license_object_model_dict = LicenseObject.from_dict(license_object_model_json).__dict__ license_object_model2 = LicenseObject(**license_object_model_dict) # Verify the model instances are equivalent assert license_object_model == license_object_model2 # Convert model instance back to dict and verify no loss of data license_object_model_json2 = license_object_model.to_dict() assert license_object_model_json2 == license_object_model_json #----------------------------------------------------------------------------- # Test Class for LicenseOfferingReference #----------------------------------------------------------------------------- class TestLicenseOfferingReference(): #-------------------------------------------------------- # Test serialization/deserialization for LicenseOfferingReference #-------------------------------------------------------- def test_license_offering_reference_serialization(self): # Construct a json representation of a LicenseOfferingReference model license_offering_reference_model_json = {} license_offering_reference_model_json['id'] = 'testString' license_offering_reference_model_json['name'] = 'testString' license_offering_reference_model_json['label'] = 'testString' license_offering_reference_model_json['offering_icon_url'] = 'testString' license_offering_reference_model_json['account_id'] = 'testString' license_offering_reference_model_json['catalog_id'] = 'testString' # Construct a model instance of LicenseOfferingReference by calling from_dict on the json representation license_offering_reference_model = LicenseOfferingReference.from_dict(license_offering_reference_model_json) assert license_offering_reference_model != False # Construct a model instance of LicenseOfferingReference by calling from_dict on the json representation license_offering_reference_model_dict = LicenseOfferingReference.from_dict(license_offering_reference_model_json).__dict__ license_offering_reference_model2 = LicenseOfferingReference(**license_offering_reference_model_dict) # Verify the model instances are equivalent assert license_offering_reference_model == license_offering_reference_model2 # Convert model instance back to dict and verify no loss of data license_offering_reference_model_json2 = license_offering_reference_model.to_dict() assert license_offering_reference_model_json2 == license_offering_reference_model_json #----------------------------------------------------------------------------- # Test Class for LicenseProvider #----------------------------------------------------------------------------- class TestLicenseProvider(): #-------------------------------------------------------- # Test serialization/deserialization for LicenseProvider #-------------------------------------------------------- def test_license_provider_serialization(self): # Construct a json representation of a LicenseProvider model license_provider_model_json = {} license_provider_model_json['name'] = 'testString' license_provider_model_json['short_description'] = 'testString' license_provider_model_json['id'] = 'testString' license_provider_model_json['licence_type'] = 'testString' license_provider_model_json['offering_type'] = 'testString' license_provider_model_json['create_url'] = 'testString' license_provider_model_json['info_url'] = 'testString' license_provider_model_json['url'] = 'testString' license_provider_model_json['crn'] = 'testString' license_provider_model_json['state'] = 'testString' # Construct a model instance of LicenseProvider by calling from_dict on the json representation license_provider_model = LicenseProvider.from_dict(license_provider_model_json) assert license_provider_model != False # Construct a model instance of LicenseProvider by calling from_dict on the json representation license_provider_model_dict = LicenseProvider.from_dict(license_provider_model_json).__dict__ license_provider_model2 = LicenseProvider(**license_provider_model_dict) # Verify the model instances are equivalent assert license_provider_model == license_provider_model2 # Convert model instance back to dict and verify no loss of data license_provider_model_json2 = license_provider_model.to_dict() assert license_provider_model_json2 == license_provider_model_json #----------------------------------------------------------------------------- # Test Class for LicenseProviders #----------------------------------------------------------------------------- class TestLicenseProviders(): #-------------------------------------------------------- # Test serialization/deserialization for LicenseProviders #-------------------------------------------------------- def test_license_providers_serialization(self): # Construct dict forms of any model objects needed in order to build this model. license_provider_model = {} # LicenseProvider license_provider_model['name'] = 'testString' license_provider_model['short_description'] = 'testString' license_provider_model['id'] = 'testString' license_provider_model['licence_type'] = 'testString' license_provider_model['offering_type'] = 'testString' license_provider_model['create_url'] = 'testString' license_provider_model['info_url'] = 'testString' license_provider_model['url'] = 'testString' license_provider_model['crn'] = 'testString' license_provider_model['state'] = 'testString' # Construct a json representation of a LicenseProviders model license_providers_model_json = {} license_providers_model_json['total_results'] = 38 license_providers_model_json['total_pages'] = 38 license_providers_model_json['prev_url'] = 'testString' license_providers_model_json['next_url'] = 'testString' license_providers_model_json['resources'] = [license_provider_model] # Construct a model instance of LicenseProviders by calling from_dict on the json representation license_providers_model = LicenseProviders.from_dict(license_providers_model_json) assert license_providers_model != False # Construct a model instance of LicenseProviders by calling from_dict on the json representation license_providers_model_dict = LicenseProviders.from_dict(license_providers_model_json).__dict__ license_providers_model2 = LicenseProviders(**license_providers_model_dict) # Verify the model instances are equivalent assert license_providers_model == license_providers_model2 # Convert model instance back to dict and verify no loss of data license_providers_model_json2 = license_providers_model.to_dict() assert license_providers_model_json2 == license_providers_model_json #----------------------------------------------------------------------------- # Test Class for Licenses #----------------------------------------------------------------------------- class TestLicenses(): #-------------------------------------------------------- # Test serialization/deserialization for Licenses #-------------------------------------------------------- def test_licenses_serialization(self): # Construct dict forms of any model objects needed in order to build this model. license_offering_reference_model = {} # LicenseOfferingReference license_offering_reference_model['id'] = 'testString' license_offering_reference_model['name'] = 'testString' license_offering_reference_model['label'] = 'testString' license_offering_reference_model['offering_icon_url'] = 'testString' license_offering_reference_model['account_id'] = 'testString' license_offering_reference_model['catalog_id'] = 'testString' license_object_model = {} # LicenseObject license_object_model['name'] = 'testString' license_object_model['offering_type'] = 'testString' license_object_model['seats_allowed'] = 'testString' license_object_model['seats_used'] = 'testString' license_object_model['owner_id'] = 'testString' license_object_model['license_offering_id'] = 'testString' license_object_model['license_id'] = 'testString' license_object_model['license_owner_id'] = 'testString' license_object_model['license_type'] = 'testString' license_object_model['license_provider_id'] = 'testString' license_object_model['license_product_id'] = 'testString' license_object_model['license_provider_url'] = 'testString' license_object_model['effective_from'] = 'testString' license_object_model['effective_until'] = 'testString' license_object_model['internal'] = True license_object_model['offering_list'] = [license_offering_reference_model] # Construct a json representation of a Licenses model licenses_model_json = {} licenses_model_json['total_results'] = 38 licenses_model_json['total_pages'] = 38 licenses_model_json['prev_url'] = 'testString' licenses_model_json['next_url'] = 'testString' licenses_model_json['resources'] = [license_object_model] # Construct a model instance of Licenses by calling from_dict on the json representation licenses_model = Licenses.from_dict(licenses_model_json) assert licenses_model != False # Construct a model instance of Licenses by calling from_dict on the json representation licenses_model_dict = Licenses.from_dict(licenses_model_json).__dict__ licenses_model2 = Licenses(**licenses_model_dict) # Verify the model instances are equivalent assert licenses_model == licenses_model2 # Convert model instance back to dict and verify no loss of data licenses_model_json2 = licenses_model.to_dict() assert licenses_model_json2 == licenses_model_json #----------------------------------------------------------------------------- # Test Class for Maintainers #----------------------------------------------------------------------------- class TestMaintainers(): #-------------------------------------------------------- # Test serialization/deserialization for Maintainers #-------------------------------------------------------- def test_maintainers_serialization(self): # Construct a json representation of a Maintainers model maintainers_model_json = {} maintainers_model_json['email'] = 'testString' maintainers_model_json['name'] = 'testString' # Construct a model instance of Maintainers by calling from_dict on the json representation maintainers_model = Maintainers.from_dict(maintainers_model_json) assert maintainers_model != False # Construct a model instance of Maintainers by calling from_dict on the json representation maintainers_model_dict = Maintainers.from_dict(maintainers_model_json).__dict__ maintainers_model2 = Maintainers(**maintainers_model_dict) # Verify the model instances are equivalent assert maintainers_model == maintainers_model2 # Convert model instance back to dict and verify no loss of data maintainers_model_json2 = maintainers_model.to_dict() assert maintainers_model_json2 == maintainers_model_json #----------------------------------------------------------------------------- # Test Class for NamespaceSearchResult #----------------------------------------------------------------------------- class TestNamespaceSearchResult(): #-------------------------------------------------------- # Test serialization/deserialization for NamespaceSearchResult #-------------------------------------------------------- def test_namespace_search_result_serialization(self): # Construct a json representation of a NamespaceSearchResult model namespace_search_result_model_json = {} namespace_search_result_model_json['offset'] = 38 namespace_search_result_model_json['limit'] = 38 namespace_search_result_model_json['total_count'] = 38 namespace_search_result_model_json['resource_count'] = 38 namespace_search_result_model_json['first'] = 'testString' namespace_search_result_model_json['last'] = 'testString' namespace_search_result_model_json['prev'] = 'testString' namespace_search_result_model_json['next'] = 'testString' namespace_search_result_model_json['resources'] = ['testString'] # Construct a model instance of NamespaceSearchResult by calling from_dict on the json representation namespace_search_result_model = NamespaceSearchResult.from_dict(namespace_search_result_model_json) assert namespace_search_result_model != False # Construct a model instance of NamespaceSearchResult by calling from_dict on the json representation namespace_search_result_model_dict = NamespaceSearchResult.from_dict(namespace_search_result_model_json).__dict__ namespace_search_result_model2 = NamespaceSearchResult(**namespace_search_result_model_dict) # Verify the model instances are equivalent assert namespace_search_result_model == namespace_search_result_model2 # Convert model instance back to dict and verify no loss of data namespace_search_result_model_json2 = namespace_search_result_model.to_dict() assert namespace_search_result_model_json2 == namespace_search_result_model_json #----------------------------------------------------------------------------- # Test Class for Offering #----------------------------------------------------------------------------- class TestOffering(): #-------------------------------------------------------- # Test serialization/deserialization for Offering #-------------------------------------------------------- def test_offering_serialization(self): # Construct dict forms of any model objects needed in order to build this model. configuration_model = {} # Configuration configuration_model['key'] = 'testString' configuration_model['type'] = 'testString' configuration_model['default_value'] = { 'foo': 'bar' } configuration_model['value_constraint'] = 'testString' configuration_model['description'] = 'testString' configuration_model['required'] = True configuration_model['options'] = [{ 'foo': 'bar' }] configuration_model['hidden'] = True deployment_model = {} # Deployment deployment_model['id'] = 'testString' deployment_model['label'] = 'testString' deployment_model['name'] = 'testString' deployment_model['short_description'] = 'testString' deployment_model['long_description'] = 'testString' deployment_model['metadata'] = { 'foo': 'bar' } deployment_model['tags'] = ['testString'] deployment_model['created'] = '2020-01-28T18:40:40.123456Z' deployment_model['updated'] = '2020-01-28T18:40:40.123456Z' feature_model = {} # Feature feature_model['title'] = 'testString' feature_model['description'] = 'testString' license_model = {} # License license_model['id'] = 'testString' license_model['name'] = 'testString' license_model['type'] = 'testString' license_model['url'] = 'testString' license_model['description'] = 'testString' resource_model = {} # Resource resource_model['type'] = 'mem' resource_model['value'] = { 'foo': 'bar' } script_model = {} # Script script_model['instructions'] = 'testString' script_model['script'] = 'testString' script_model['script_permission'] = 'testString' script_model['delete_script'] = 'testString' script_model['scope'] = 'testString' state_model = {} # State state_model['current'] = 'testString' state_model['current_entered'] = '2020-01-28T18:40:40.123456Z' state_model['pending'] = 'testString' state_model['pending_requested'] = '2020-01-28T18:40:40.123456Z' state_model['previous'] = 'testString' validation_model = {} # Validation validation_model['validated'] = '2020-01-28T18:40:40.123456Z' validation_model['requested'] = '2020-01-28T18:40:40.123456Z' validation_model['state'] = 'testString' validation_model['last_operation'] = 'testString' validation_model['target'] = { 'foo': 'bar' } version_entitlement_model = {} # VersionEntitlement version_entitlement_model['provider_name'] = 'testString' version_entitlement_model['provider_id'] = 'testString' version_entitlement_model['product_id'] = 'testString' version_entitlement_model['part_numbers'] = ['testString'] version_entitlement_model['image_repo_name'] = 'testString' plan_model = {} # Plan plan_model['id'] = 'testString' plan_model['label'] = 'testString' plan_model['name'] = 'testString' plan_model['short_description'] = 'testString' plan_model['long_description'] = 'testString' plan_model['metadata'] = { 'foo': 'bar' } plan_model['tags'] = ['testString'] plan_model['additional_features'] = [feature_model] plan_model['created'] = '2020-01-28T18:40:40.123456Z' plan_model['updated'] = '2020-01-28T18:40:40.123456Z' plan_model['deployments'] = [deployment_model] version_model = {} # Version version_model['id'] = 'testString' version_model['_rev'] = 'testString' version_model['crn'] = 'testString' version_model['version'] = 'testString' version_model['sha'] = 'testString' version_model['created'] = '2020-01-28T18:40:40.123456Z' version_model['updated'] = '2020-01-28T18:40:40.123456Z' version_model['offering_id'] = 'testString' version_model['catalog_id'] = 'testString' version_model['kind_id'] = 'testString' version_model['tags'] = ['testString'] version_model['repo_url'] = 'testString' version_model['source_url'] = 'testString' version_model['tgz_url'] = 'testString' version_model['configuration'] = [configuration_model] version_model['metadata'] = { 'foo': 'bar' } version_model['validation'] = validation_model version_model['required_resources'] = [resource_model] version_model['single_instance'] = True version_model['install'] = script_model version_model['pre_install'] = [script_model] version_model['entitlement'] = version_entitlement_model version_model['licenses'] = [license_model] version_model['image_manifest_url'] = 'testString' version_model['deprecated'] = True version_model['package_version'] = 'testString' version_model['state'] = state_model version_model['version_locator'] = 'testString' version_model['console_url'] = 'testString' version_model['long_description'] = 'testString' version_model['whitelisted_accounts'] = ['testString'] kind_model = {} # Kind kind_model['id'] = 'testString' kind_model['format_kind'] = 'testString' kind_model['target_kind'] = 'testString' kind_model['metadata'] = { 'foo': 'bar' } kind_model['install_description'] = 'testString' kind_model['tags'] = ['testString'] kind_model['additional_features'] = [feature_model] kind_model['created'] = '2020-01-28T18:40:40.123456Z' kind_model['updated'] = '2020-01-28T18:40:40.123456Z' kind_model['versions'] = [version_model] kind_model['plans'] = [plan_model] rating_model = {} # Rating rating_model['one_star_count'] = 38 rating_model['two_star_count'] = 38 rating_model['three_star_count'] = 38 rating_model['four_star_count'] = 38 repo_info_model = {} # RepoInfo repo_info_model['token'] = 'testString' repo_info_model['type'] = 'testString' # Construct a json representation of a Offering model offering_model_json = {} offering_model_json['id'] = 'testString' offering_model_json['_rev'] = 'testString' offering_model_json['url'] = 'testString' offering_model_json['crn'] = 'testString' offering_model_json['label'] = 'testString' offering_model_json['name'] = 'testString' offering_model_json['offering_icon_url'] = 'testString' offering_model_json['offering_docs_url'] = 'testString' offering_model_json['offering_support_url'] = 'testString' offering_model_json['tags'] = ['testString'] offering_model_json['rating'] = rating_model offering_model_json['created'] = '2020-01-28T18:40:40.123456Z' offering_model_json['updated'] = '2020-01-28T18:40:40.123456Z' offering_model_json['short_description'] = 'testString' offering_model_json['long_description'] = 'testString' offering_model_json['features'] = [feature_model] offering_model_json['kinds'] = [kind_model] offering_model_json['permit_request_ibm_public_publish'] = True offering_model_json['ibm_publish_approved'] = True offering_model_json['public_publish_approved'] = True offering_model_json['public_original_crn'] = 'testString' offering_model_json['publish_public_crn'] = 'testString' offering_model_json['portal_approval_record'] = 'testString' offering_model_json['portal_ui_url'] = 'testString' offering_model_json['catalog_id'] = 'testString' offering_model_json['catalog_name'] = 'testString' offering_model_json['metadata'] = { 'foo': 'bar' } offering_model_json['disclaimer'] = 'testString' offering_model_json['hidden'] = True offering_model_json['provider'] = 'testString' offering_model_json['repo_info'] = repo_info_model # Construct a model instance of Offering by calling from_dict on the json representation offering_model = Offering.from_dict(offering_model_json) assert offering_model != False # Construct a model instance of Offering by calling from_dict on the json representation offering_model_dict = Offering.from_dict(offering_model_json).__dict__ offering_model2 = Offering(**offering_model_dict) # Verify the model instances are equivalent assert offering_model == offering_model2 # Convert model instance back to dict and verify no loss of data offering_model_json2 = offering_model.to_dict() assert offering_model_json2 == offering_model_json #----------------------------------------------------------------------------- # Test Class for OfferingSearchResult #----------------------------------------------------------------------------- class TestOfferingSearchResult(): #-------------------------------------------------------- # Test serialization/deserialization for OfferingSearchResult #-------------------------------------------------------- def test_offering_search_result_serialization(self): # Construct dict forms of any model objects needed in order to build this model. configuration_model = {} # Configuration configuration_model['key'] = 'testString' configuration_model['type'] = 'testString' configuration_model['default_value'] = { 'foo': 'bar' } configuration_model['value_constraint'] = 'testString' configuration_model['description'] = 'testString' configuration_model['required'] = True configuration_model['options'] = [{ 'foo': 'bar' }] configuration_model['hidden'] = True deployment_model = {} # Deployment deployment_model['id'] = 'testString' deployment_model['label'] = 'testString' deployment_model['name'] = 'testString' deployment_model['short_description'] = 'testString' deployment_model['long_description'] = 'testString' deployment_model['metadata'] = { 'foo': 'bar' } deployment_model['tags'] = ['testString'] deployment_model['created'] = '2020-01-28T18:40:40.123456Z' deployment_model['updated'] = '2020-01-28T18:40:40.123456Z' feature_model = {} # Feature feature_model['title'] = 'testString' feature_model['description'] = 'testString' license_model = {} # License license_model['id'] = 'testString' license_model['name'] = 'testString' license_model['type'] = 'testString' license_model['url'] = 'testString' license_model['description'] = 'testString' resource_model = {} # Resource resource_model['type'] = 'mem' resource_model['value'] = { 'foo': 'bar' } script_model = {} # Script script_model['instructions'] = 'testString' script_model['script'] = 'testString' script_model['script_permission'] = 'testString' script_model['delete_script'] = 'testString' script_model['scope'] = 'testString' state_model = {} # State state_model['current'] = 'testString' state_model['current_entered'] = '2020-01-28T18:40:40.123456Z' state_model['pending'] = 'testString' state_model['pending_requested'] = '2020-01-28T18:40:40.123456Z' state_model['previous'] = 'testString' validation_model = {} # Validation validation_model['validated'] = '2020-01-28T18:40:40.123456Z' validation_model['requested'] = '2020-01-28T18:40:40.123456Z' validation_model['state'] = 'testString' validation_model['last_operation'] = 'testString' validation_model['target'] = { 'foo': 'bar' } version_entitlement_model = {} # VersionEntitlement version_entitlement_model['provider_name'] = 'testString' version_entitlement_model['provider_id'] = 'testString' version_entitlement_model['product_id'] = 'testString' version_entitlement_model['part_numbers'] = ['testString'] version_entitlement_model['image_repo_name'] = 'testString' plan_model = {} # Plan plan_model['id'] = 'testString' plan_model['label'] = 'testString' plan_model['name'] = 'testString' plan_model['short_description'] = 'testString' plan_model['long_description'] = 'testString' plan_model['metadata'] = { 'foo': 'bar' } plan_model['tags'] = ['testString'] plan_model['additional_features'] = [feature_model] plan_model['created'] = '2020-01-28T18:40:40.123456Z' plan_model['updated'] = '2020-01-28T18:40:40.123456Z' plan_model['deployments'] = [deployment_model] version_model = {} # Version version_model['id'] = 'testString' version_model['_rev'] = 'testString' version_model['crn'] = 'testString' version_model['version'] = 'testString' version_model['sha'] = 'testString' version_model['created'] = '2020-01-28T18:40:40.123456Z' version_model['updated'] = '2020-01-28T18:40:40.123456Z' version_model['offering_id'] = 'testString' version_model['catalog_id'] = 'testString' version_model['kind_id'] = 'testString' version_model['tags'] = ['testString'] version_model['repo_url'] = 'testString' version_model['source_url'] = 'testString' version_model['tgz_url'] = 'testString' version_model['configuration'] = [configuration_model] version_model['metadata'] = { 'foo': 'bar' } version_model['validation'] = validation_model version_model['required_resources'] = [resource_model] version_model['single_instance'] = True version_model['install'] = script_model version_model['pre_install'] = [script_model] version_model['entitlement'] = version_entitlement_model version_model['licenses'] = [license_model] version_model['image_manifest_url'] = 'testString' version_model['deprecated'] = True version_model['package_version'] = 'testString' version_model['state'] = state_model version_model['version_locator'] = 'testString' version_model['console_url'] = 'testString' version_model['long_description'] = 'testString' version_model['whitelisted_accounts'] = ['testString'] kind_model = {} # Kind kind_model['id'] = 'testString' kind_model['format_kind'] = 'testString' kind_model['target_kind'] = 'testString' kind_model['metadata'] = { 'foo': 'bar' } kind_model['install_description'] = 'testString' kind_model['tags'] = ['testString'] kind_model['additional_features'] = [feature_model] kind_model['created'] = '2020-01-28T18:40:40.123456Z' kind_model['updated'] = '2020-01-28T18:40:40.123456Z' kind_model['versions'] = [version_model] kind_model['plans'] = [plan_model] rating_model = {} # Rating rating_model['one_star_count'] = 38 rating_model['two_star_count'] = 38 rating_model['three_star_count'] = 38 rating_model['four_star_count'] = 38 repo_info_model = {} # RepoInfo repo_info_model['token'] = 'testString' repo_info_model['type'] = 'testString' offering_model = {} # Offering offering_model['id'] = 'testString' offering_model['_rev'] = 'testString' offering_model['url'] = 'testString' offering_model['crn'] = 'testString' offering_model['label'] = 'testString' offering_model['name'] = 'testString' offering_model['offering_icon_url'] = 'testString' offering_model['offering_docs_url'] = 'testString' offering_model['offering_support_url'] = 'testString' offering_model['tags'] = ['testString'] offering_model['rating'] = rating_model offering_model['created'] = '2020-01-28T18:40:40.123456Z' offering_model['updated'] = '2020-01-28T18:40:40.123456Z' offering_model['short_description'] = 'testString' offering_model['long_description'] = 'testString' offering_model['features'] = [feature_model] offering_model['kinds'] = [kind_model] offering_model['permit_request_ibm_public_publish'] = True offering_model['ibm_publish_approved'] = True offering_model['public_publish_approved'] = True offering_model['public_original_crn'] = 'testString' offering_model['publish_public_crn'] = 'testString' offering_model['portal_approval_record'] = 'testString' offering_model['portal_ui_url'] = 'testString' offering_model['catalog_id'] = 'testString' offering_model['catalog_name'] = 'testString' offering_model['metadata'] = { 'foo': 'bar' } offering_model['disclaimer'] = 'testString' offering_model['hidden'] = True offering_model['provider'] = 'testString' offering_model['repo_info'] = repo_info_model # Construct a json representation of a OfferingSearchResult model offering_search_result_model_json = {} offering_search_result_model_json['offset'] = 38 offering_search_result_model_json['limit'] = 38 offering_search_result_model_json['total_count'] = 38 offering_search_result_model_json['resource_count'] = 38 offering_search_result_model_json['first'] = 'testString' offering_search_result_model_json['last'] = 'testString' offering_search_result_model_json['prev'] = 'testString' offering_search_result_model_json['next'] = 'testString' offering_search_result_model_json['resources'] = [offering_model] # Construct a model instance of OfferingSearchResult by calling from_dict on the json representation offering_search_result_model = OfferingSearchResult.from_dict(offering_search_result_model_json) assert offering_search_result_model != False # Construct a model instance of OfferingSearchResult by calling from_dict on the json representation offering_search_result_model_dict = OfferingSearchResult.from_dict(offering_search_result_model_json).__dict__ offering_search_result_model2 = OfferingSearchResult(**offering_search_result_model_dict) # Verify the model instances are equivalent assert offering_search_result_model == offering_search_result_model2 # Convert model instance back to dict and verify no loss of data offering_search_result_model_json2 = offering_search_result_model.to_dict() assert offering_search_result_model_json2 == offering_search_result_model_json #----------------------------------------------------------------------------- # Test Class for OperatorDeployResult #----------------------------------------------------------------------------- class TestOperatorDeployResult(): #-------------------------------------------------------- # Test serialization/deserialization for OperatorDeployResult #-------------------------------------------------------- def test_operator_deploy_result_serialization(self): # Construct a json representation of a OperatorDeployResult model operator_deploy_result_model_json = {} operator_deploy_result_model_json['phase'] = 'testString' operator_deploy_result_model_json['message'] = 'testString' operator_deploy_result_model_json['link'] = 'testString' operator_deploy_result_model_json['name'] = 'testString' operator_deploy_result_model_json['version'] = 'testString' operator_deploy_result_model_json['namespace'] = 'testString' operator_deploy_result_model_json['package_name'] = 'testString' operator_deploy_result_model_json['catalog_id'] = 'testString' # Construct a model instance of OperatorDeployResult by calling from_dict on the json representation operator_deploy_result_model = OperatorDeployResult.from_dict(operator_deploy_result_model_json) assert operator_deploy_result_model != False # Construct a model instance of OperatorDeployResult by calling from_dict on the json representation operator_deploy_result_model_dict = OperatorDeployResult.from_dict(operator_deploy_result_model_json).__dict__ operator_deploy_result_model2 = OperatorDeployResult(**operator_deploy_result_model_dict) # Verify the model instances are equivalent assert operator_deploy_result_model == operator_deploy_result_model2 # Convert model instance back to dict and verify no loss of data operator_deploy_result_model_json2 = operator_deploy_result_model.to_dict() assert operator_deploy_result_model_json2 == operator_deploy_result_model_json #----------------------------------------------------------------------------- # Test Class for Plan #----------------------------------------------------------------------------- class TestPlan(): #-------------------------------------------------------- # Test serialization/deserialization for Plan #-------------------------------------------------------- def test_plan_serialization(self): # Construct dict forms of any model objects needed in order to build this model. deployment_model = {} # Deployment deployment_model['id'] = 'testString' deployment_model['label'] = 'testString' deployment_model['name'] = 'testString' deployment_model['short_description'] = 'testString' deployment_model['long_description'] = 'testString' deployment_model['metadata'] = { 'foo': 'bar' } deployment_model['tags'] = ['testString'] deployment_model['created'] = '2020-01-28T18:40:40.123456Z' deployment_model['updated'] = '2020-01-28T18:40:40.123456Z' feature_model = {} # Feature feature_model['title'] = 'testString' feature_model['description'] = 'testString' # Construct a json representation of a Plan model plan_model_json = {} plan_model_json['id'] = 'testString' plan_model_json['label'] = 'testString' plan_model_json['name'] = 'testString' plan_model_json['short_description'] = 'testString' plan_model_json['long_description'] = 'testString' plan_model_json['metadata'] = { 'foo': 'bar' } plan_model_json['tags'] = ['testString'] plan_model_json['additional_features'] = [feature_model] plan_model_json['created'] = '2020-01-28T18:40:40.123456Z' plan_model_json['updated'] = '2020-01-28T18:40:40.123456Z' plan_model_json['deployments'] = [deployment_model] # Construct a model instance of Plan by calling from_dict on the json representation plan_model = Plan.from_dict(plan_model_json) assert plan_model != False # Construct a model instance of Plan by calling from_dict on the json representation plan_model_dict = Plan.from_dict(plan_model_json).__dict__ plan_model2 = Plan(**plan_model_dict) # Verify the model instances are equivalent assert plan_model == plan_model2 # Convert model instance back to dict and verify no loss of data plan_model_json2 = plan_model.to_dict() assert plan_model_json2 == plan_model_json #----------------------------------------------------------------------------- # Test Class for Rating #----------------------------------------------------------------------------- class TestRating(): #-------------------------------------------------------- # Test serialization/deserialization for Rating #-------------------------------------------------------- def test_rating_serialization(self): # Construct a json representation of a Rating model rating_model_json = {} rating_model_json['one_star_count'] = 38 rating_model_json['two_star_count'] = 38 rating_model_json['three_star_count'] = 38 rating_model_json['four_star_count'] = 38 # Construct a model instance of Rating by calling from_dict on the json representation rating_model = Rating.from_dict(rating_model_json) assert rating_model != False # Construct a model instance of Rating by calling from_dict on the json representation rating_model_dict = Rating.from_dict(rating_model_json).__dict__ rating_model2 = Rating(**rating_model_dict) # Verify the model instances are equivalent assert rating_model == rating_model2 # Convert model instance back to dict and verify no loss of data rating_model_json2 = rating_model.to_dict() assert rating_model_json2 == rating_model_json #----------------------------------------------------------------------------- # Test Class for RepoInfo #----------------------------------------------------------------------------- class TestRepoInfo(): #-------------------------------------------------------- # Test serialization/deserialization for RepoInfo #-------------------------------------------------------- def test_repo_info_serialization(self): # Construct a json representation of a RepoInfo model repo_info_model_json = {} repo_info_model_json['token'] = 'testString' repo_info_model_json['type'] = 'testString' # Construct a model instance of RepoInfo by calling from_dict on the json representation repo_info_model = RepoInfo.from_dict(repo_info_model_json) assert repo_info_model != False # Construct a model instance of RepoInfo by calling from_dict on the json representation repo_info_model_dict = RepoInfo.from_dict(repo_info_model_json).__dict__ repo_info_model2 = RepoInfo(**repo_info_model_dict) # Verify the model instances are equivalent assert repo_info_model == repo_info_model2 # Convert model instance back to dict and verify no loss of data repo_info_model_json2 = repo_info_model.to_dict() assert repo_info_model_json2 == repo_info_model_json #----------------------------------------------------------------------------- # Test Class for Resource #----------------------------------------------------------------------------- class TestResource(): #-------------------------------------------------------- # Test serialization/deserialization for Resource #-------------------------------------------------------- def test_resource_serialization(self): # Construct a json representation of a Resource model resource_model_json = {} resource_model_json['type'] = 'mem' resource_model_json['value'] = { 'foo': 'bar' } # Construct a model instance of Resource by calling from_dict on the json representation resource_model = Resource.from_dict(resource_model_json) assert resource_model != False # Construct a model instance of Resource by calling from_dict on the json representation resource_model_dict = Resource.from_dict(resource_model_json).__dict__ resource_model2 = Resource(**resource_model_dict) # Verify the model instances are equivalent assert resource_model == resource_model2 # Convert model instance back to dict and verify no loss of data resource_model_json2 = resource_model.to_dict() assert resource_model_json2 == resource_model_json #----------------------------------------------------------------------------- # Test Class for ResourceGroup #----------------------------------------------------------------------------- class TestResourceGroup(): #-------------------------------------------------------- # Test serialization/deserialization for ResourceGroup #-------------------------------------------------------- def test_resource_group_serialization(self): # Construct a json representation of a ResourceGroup model resource_group_model_json = {} resource_group_model_json['id'] = 'testString' resource_group_model_json['name'] = 'testString' resource_group_model_json['crn'] = 'testString' resource_group_model_json['account_id'] = 'testString' resource_group_model_json['state'] = 'testString' resource_group_model_json['default'] = True # Construct a model instance of ResourceGroup by calling from_dict on the json representation resource_group_model = ResourceGroup.from_dict(resource_group_model_json) assert resource_group_model != False # Construct a model instance of ResourceGroup by calling from_dict on the json representation resource_group_model_dict = ResourceGroup.from_dict(resource_group_model_json).__dict__ resource_group_model2 = ResourceGroup(**resource_group_model_dict) # Verify the model instances are equivalent assert resource_group_model == resource_group_model2 # Convert model instance back to dict and verify no loss of data resource_group_model_json2 = resource_group_model.to_dict() assert resource_group_model_json2 == resource_group_model_json #----------------------------------------------------------------------------- # Test Class for ResourceGroups #----------------------------------------------------------------------------- class TestResourceGroups(): #-------------------------------------------------------- # Test serialization/deserialization for ResourceGroups #-------------------------------------------------------- def test_resource_groups_serialization(self): # Construct dict forms of any model objects needed in order to build this model. resource_group_model = {} # ResourceGroup resource_group_model['id'] = 'testString' resource_group_model['name'] = 'testString' resource_group_model['crn'] = 'testString' resource_group_model['account_id'] = 'testString' resource_group_model['state'] = 'testString' resource_group_model['default'] = True # Construct a json representation of a ResourceGroups model resource_groups_model_json = {} resource_groups_model_json['offset'] = 38 resource_groups_model_json['limit'] = 38 resource_groups_model_json['total_count'] = 38 resource_groups_model_json['resource_count'] = 38 resource_groups_model_json['first'] = 'testString' resource_groups_model_json['last'] = 'testString' resource_groups_model_json['prev'] = 'testString' resource_groups_model_json['next'] = 'testString' resource_groups_model_json['resources'] = [resource_group_model] # Construct a model instance of ResourceGroups by calling from_dict on the json representation resource_groups_model = ResourceGroups.from_dict(resource_groups_model_json) assert resource_groups_model != False # Construct a model instance of ResourceGroups by calling from_dict on the json representation resource_groups_model_dict = ResourceGroups.from_dict(resource_groups_model_json).__dict__ resource_groups_model2 = ResourceGroups(**resource_groups_model_dict) # Verify the model instances are equivalent assert resource_groups_model == resource_groups_model2 # Convert model instance back to dict and verify no loss of data resource_groups_model_json2 = resource_groups_model.to_dict() assert resource_groups_model_json2 == resource_groups_model_json #----------------------------------------------------------------------------- # Test Class for SchematicsWorkspace #----------------------------------------------------------------------------- class TestSchematicsWorkspace(): #-------------------------------------------------------- # Test serialization/deserialization for SchematicsWorkspace #-------------------------------------------------------- def test_schematics_workspace_serialization(self): # Construct dict forms of any model objects needed in order to build this model. schematics_workspace_catalog_ref_model = {} # SchematicsWorkspaceCatalogRef schematics_workspace_catalog_ref_model['item_id'] = 'testString' schematics_workspace_catalog_ref_model['item_name'] = 'testString' schematics_workspace_catalog_ref_model['item_url'] = 'testString' schematics_workspace_runtime_data_model = {} # SchematicsWorkspaceRuntimeData schematics_workspace_runtime_data_model['id'] = 'testString' schematics_workspace_runtime_data_model['engine_name'] = 'testString' schematics_workspace_runtime_data_model['engine_version'] = 'testString' schematics_workspace_runtime_data_model['state_store_url'] = 'testString' schematics_workspace_runtime_data_model['log_store_url'] = 'testString' schematics_workspace_template_repo_model = {} # SchematicsWorkspaceTemplateRepo schematics_workspace_template_repo_model['repo_url'] = 'testString' schematics_workspace_template_repo_model['chart_name'] = 'testString' schematics_workspace_template_repo_model['script_name'] = 'testString' schematics_workspace_template_repo_model['uninstall_script_name'] = 'testString' schematics_workspace_template_repo_model['folder_name'] = 'testString' schematics_workspace_template_repo_model['repo_sha_value'] = 'testString' schematics_workspace_workspace_status_model = {} # SchematicsWorkspaceWorkspaceStatus schematics_workspace_workspace_status_model['frozen'] = True schematics_workspace_workspace_status_model['locked'] = True # Construct a json representation of a SchematicsWorkspace model schematics_workspace_model_json = {} schematics_workspace_model_json['id'] = 'testString' schematics_workspace_model_json['name'] = 'testString' schematics_workspace_model_json['type'] = ['testString'] schematics_workspace_model_json['description'] = 'testString' schematics_workspace_model_json['tags'] = ['testString'] schematics_workspace_model_json['created_at'] = '2020-01-28T18:40:40.123456Z' schematics_workspace_model_json['created_by'] = 'testString' schematics_workspace_model_json['status'] = 'testString' schematics_workspace_model_json['workspace_status'] = schematics_workspace_workspace_status_model schematics_workspace_model_json['template_ref'] = 'testString' schematics_workspace_model_json['template_repo'] = schematics_workspace_template_repo_model schematics_workspace_model_json['template_data'] = [{ 'foo': 'bar' }] schematics_workspace_model_json['runtime_data'] = schematics_workspace_runtime_data_model schematics_workspace_model_json['shared_data'] = { 'foo': 'bar' } schematics_workspace_model_json['catalog_ref'] = schematics_workspace_catalog_ref_model # Construct a model instance of SchematicsWorkspace by calling from_dict on the json representation schematics_workspace_model = SchematicsWorkspace.from_dict(schematics_workspace_model_json) assert schematics_workspace_model != False # Construct a model instance of SchematicsWorkspace by calling from_dict on the json representation schematics_workspace_model_dict = SchematicsWorkspace.from_dict(schematics_workspace_model_json).__dict__ schematics_workspace_model2 = SchematicsWorkspace(**schematics_workspace_model_dict) # Verify the model instances are equivalent assert schematics_workspace_model == schematics_workspace_model2 # Convert model instance back to dict and verify no loss of data schematics_workspace_model_json2 = schematics_workspace_model.to_dict() assert schematics_workspace_model_json2 == schematics_workspace_model_json #----------------------------------------------------------------------------- # Test Class for SchematicsWorkspaceCatalogRef #----------------------------------------------------------------------------- class TestSchematicsWorkspaceCatalogRef(): #-------------------------------------------------------- # Test serialization/deserialization for SchematicsWorkspaceCatalogRef #-------------------------------------------------------- def test_schematics_workspace_catalog_ref_serialization(self): # Construct a json representation of a SchematicsWorkspaceCatalogRef model schematics_workspace_catalog_ref_model_json = {} schematics_workspace_catalog_ref_model_json['item_id'] = 'testString' schematics_workspace_catalog_ref_model_json['item_name'] = 'testString' schematics_workspace_catalog_ref_model_json['item_url'] = 'testString' # Construct a model instance of SchematicsWorkspaceCatalogRef by calling from_dict on the json representation schematics_workspace_catalog_ref_model = SchematicsWorkspaceCatalogRef.from_dict(schematics_workspace_catalog_ref_model_json) assert schematics_workspace_catalog_ref_model != False # Construct a model instance of SchematicsWorkspaceCatalogRef by calling from_dict on the json representation schematics_workspace_catalog_ref_model_dict = SchematicsWorkspaceCatalogRef.from_dict(schematics_workspace_catalog_ref_model_json).__dict__ schematics_workspace_catalog_ref_model2 = SchematicsWorkspaceCatalogRef(**schematics_workspace_catalog_ref_model_dict) # Verify the model instances are equivalent assert schematics_workspace_catalog_ref_model == schematics_workspace_catalog_ref_model2 # Convert model instance back to dict and verify no loss of data schematics_workspace_catalog_ref_model_json2 = schematics_workspace_catalog_ref_model.to_dict() assert schematics_workspace_catalog_ref_model_json2 == schematics_workspace_catalog_ref_model_json #----------------------------------------------------------------------------- # Test Class for SchematicsWorkspaceRuntimeData #----------------------------------------------------------------------------- class TestSchematicsWorkspaceRuntimeData(): #-------------------------------------------------------- # Test serialization/deserialization for SchematicsWorkspaceRuntimeData #-------------------------------------------------------- def test_schematics_workspace_runtime_data_serialization(self): # Construct a json representation of a SchematicsWorkspaceRuntimeData model schematics_workspace_runtime_data_model_json = {} schematics_workspace_runtime_data_model_json['id'] = 'testString' schematics_workspace_runtime_data_model_json['engine_name'] = 'testString' schematics_workspace_runtime_data_model_json['engine_version'] = 'testString' schematics_workspace_runtime_data_model_json['state_store_url'] = 'testString' schematics_workspace_runtime_data_model_json['log_store_url'] = 'testString' # Construct a model instance of SchematicsWorkspaceRuntimeData by calling from_dict on the json representation schematics_workspace_runtime_data_model = SchematicsWorkspaceRuntimeData.from_dict(schematics_workspace_runtime_data_model_json) assert schematics_workspace_runtime_data_model != False # Construct a model instance of SchematicsWorkspaceRuntimeData by calling from_dict on the json representation schematics_workspace_runtime_data_model_dict = SchematicsWorkspaceRuntimeData.from_dict(schematics_workspace_runtime_data_model_json).__dict__ schematics_workspace_runtime_data_model2 = SchematicsWorkspaceRuntimeData(**schematics_workspace_runtime_data_model_dict) # Verify the model instances are equivalent assert schematics_workspace_runtime_data_model == schematics_workspace_runtime_data_model2 # Convert model instance back to dict and verify no loss of data schematics_workspace_runtime_data_model_json2 = schematics_workspace_runtime_data_model.to_dict() assert schematics_workspace_runtime_data_model_json2 == schematics_workspace_runtime_data_model_json #----------------------------------------------------------------------------- # Test Class for SchematicsWorkspaceSearchResult #----------------------------------------------------------------------------- class TestSchematicsWorkspaceSearchResult(): #-------------------------------------------------------- # Test serialization/deserialization for SchematicsWorkspaceSearchResult #-------------------------------------------------------- def test_schematics_workspace_search_result_serialization(self): # Construct dict forms of any model objects needed in order to build this model. schematics_workspace_catalog_ref_model = {} # SchematicsWorkspaceCatalogRef schematics_workspace_catalog_ref_model['item_id'] = 'testString' schematics_workspace_catalog_ref_model['item_name'] = 'testString' schematics_workspace_catalog_ref_model['item_url'] = 'testString' schematics_workspace_runtime_data_model = {} # SchematicsWorkspaceRuntimeData schematics_workspace_runtime_data_model['id'] = 'testString' schematics_workspace_runtime_data_model['engine_name'] = 'testString' schematics_workspace_runtime_data_model['engine_version'] = 'testString' schematics_workspace_runtime_data_model['state_store_url'] = 'testString' schematics_workspace_runtime_data_model['log_store_url'] = 'testString' schematics_workspace_template_repo_model = {} # SchematicsWorkspaceTemplateRepo schematics_workspace_template_repo_model['repo_url'] = 'testString' schematics_workspace_template_repo_model['chart_name'] = 'testString' schematics_workspace_template_repo_model['script_name'] = 'testString' schematics_workspace_template_repo_model['uninstall_script_name'] = 'testString' schematics_workspace_template_repo_model['folder_name'] = 'testString' schematics_workspace_template_repo_model['repo_sha_value'] = 'testString' schematics_workspace_workspace_status_model = {} # SchematicsWorkspaceWorkspaceStatus schematics_workspace_workspace_status_model['frozen'] = True schematics_workspace_workspace_status_model['locked'] = True schematics_workspace_model = {} # SchematicsWorkspace schematics_workspace_model['id'] = 'testString' schematics_workspace_model['name'] = 'testString' schematics_workspace_model['type'] = ['testString'] schematics_workspace_model['description'] = 'testString' schematics_workspace_model['tags'] = ['testString'] schematics_workspace_model['created_at'] = '2020-01-28T18:40:40.123456Z' schematics_workspace_model['created_by'] = 'testString' schematics_workspace_model['status'] = 'testString' schematics_workspace_model['workspace_status'] = schematics_workspace_workspace_status_model schematics_workspace_model['template_ref'] = 'testString' schematics_workspace_model['template_repo'] = schematics_workspace_template_repo_model schematics_workspace_model['template_data'] = [{ 'foo': 'bar' }] schematics_workspace_model['runtime_data'] = schematics_workspace_runtime_data_model schematics_workspace_model['shared_data'] = { 'foo': 'bar' } schematics_workspace_model['catalog_ref'] = schematics_workspace_catalog_ref_model # Construct a json representation of a SchematicsWorkspaceSearchResult model schematics_workspace_search_result_model_json = {} schematics_workspace_search_result_model_json['offset'] = 38 schematics_workspace_search_result_model_json['limit'] = 38 schematics_workspace_search_result_model_json['total_count'] = 38 schematics_workspace_search_result_model_json['resource_count'] = 38 schematics_workspace_search_result_model_json['first'] = 'testString' schematics_workspace_search_result_model_json['last'] = 'testString' schematics_workspace_search_result_model_json['prev'] = 'testString' schematics_workspace_search_result_model_json['next'] = 'testString' schematics_workspace_search_result_model_json['resources'] = [schematics_workspace_model] # Construct a model instance of SchematicsWorkspaceSearchResult by calling from_dict on the json representation schematics_workspace_search_result_model = SchematicsWorkspaceSearchResult.from_dict(schematics_workspace_search_result_model_json) assert schematics_workspace_search_result_model != False # Construct a model instance of SchematicsWorkspaceSearchResult by calling from_dict on the json representation schematics_workspace_search_result_model_dict = SchematicsWorkspaceSearchResult.from_dict(schematics_workspace_search_result_model_json).__dict__ schematics_workspace_search_result_model2 = SchematicsWorkspaceSearchResult(**schematics_workspace_search_result_model_dict) # Verify the model instances are equivalent assert schematics_workspace_search_result_model == schematics_workspace_search_result_model2 # Convert model instance back to dict and verify no loss of data schematics_workspace_search_result_model_json2 = schematics_workspace_search_result_model.to_dict() assert schematics_workspace_search_result_model_json2 == schematics_workspace_search_result_model_json #----------------------------------------------------------------------------- # Test Class for SchematicsWorkspaceTemplateRepo #----------------------------------------------------------------------------- class TestSchematicsWorkspaceTemplateRepo(): #-------------------------------------------------------- # Test serialization/deserialization for SchematicsWorkspaceTemplateRepo #-------------------------------------------------------- def test_schematics_workspace_template_repo_serialization(self): # Construct a json representation of a SchematicsWorkspaceTemplateRepo model schematics_workspace_template_repo_model_json = {} schematics_workspace_template_repo_model_json['repo_url'] = 'testString' schematics_workspace_template_repo_model_json['chart_name'] = 'testString' schematics_workspace_template_repo_model_json['script_name'] = 'testString' schematics_workspace_template_repo_model_json['uninstall_script_name'] = 'testString' schematics_workspace_template_repo_model_json['folder_name'] = 'testString' schematics_workspace_template_repo_model_json['repo_sha_value'] = 'testString' # Construct a model instance of SchematicsWorkspaceTemplateRepo by calling from_dict on the json representation schematics_workspace_template_repo_model = SchematicsWorkspaceTemplateRepo.from_dict(schematics_workspace_template_repo_model_json) assert schematics_workspace_template_repo_model != False # Construct a model instance of SchematicsWorkspaceTemplateRepo by calling from_dict on the json representation schematics_workspace_template_repo_model_dict = SchematicsWorkspaceTemplateRepo.from_dict(schematics_workspace_template_repo_model_json).__dict__ schematics_workspace_template_repo_model2 = SchematicsWorkspaceTemplateRepo(**schematics_workspace_template_repo_model_dict) # Verify the model instances are equivalent assert schematics_workspace_template_repo_model == schematics_workspace_template_repo_model2 # Convert model instance back to dict and verify no loss of data schematics_workspace_template_repo_model_json2 = schematics_workspace_template_repo_model.to_dict() assert schematics_workspace_template_repo_model_json2 == schematics_workspace_template_repo_model_json #----------------------------------------------------------------------------- # Test Class for SchematicsWorkspaceWorkspaceStatus #----------------------------------------------------------------------------- class TestSchematicsWorkspaceWorkspaceStatus(): #-------------------------------------------------------- # Test serialization/deserialization for SchematicsWorkspaceWorkspaceStatus #-------------------------------------------------------- def test_schematics_workspace_workspace_status_serialization(self): # Construct a json representation of a SchematicsWorkspaceWorkspaceStatus model schematics_workspace_workspace_status_model_json = {} schematics_workspace_workspace_status_model_json['frozen'] = True schematics_workspace_workspace_status_model_json['locked'] = True # Construct a model instance of SchematicsWorkspaceWorkspaceStatus by calling from_dict on the json representation schematics_workspace_workspace_status_model = SchematicsWorkspaceWorkspaceStatus.from_dict(schematics_workspace_workspace_status_model_json) assert schematics_workspace_workspace_status_model != False # Construct a model instance of SchematicsWorkspaceWorkspaceStatus by calling from_dict on the json representation schematics_workspace_workspace_status_model_dict = SchematicsWorkspaceWorkspaceStatus.from_dict(schematics_workspace_workspace_status_model_json).__dict__ schematics_workspace_workspace_status_model2 = SchematicsWorkspaceWorkspaceStatus(**schematics_workspace_workspace_status_model_dict) # Verify the model instances are equivalent assert schematics_workspace_workspace_status_model == schematics_workspace_workspace_status_model2 # Convert model instance back to dict and verify no loss of data schematics_workspace_workspace_status_model_json2 = schematics_workspace_workspace_status_model.to_dict() assert schematics_workspace_workspace_status_model_json2 == schematics_workspace_workspace_status_model_json #----------------------------------------------------------------------------- # Test Class for Script #----------------------------------------------------------------------------- class TestScript(): #-------------------------------------------------------- # Test serialization/deserialization for Script #-------------------------------------------------------- def test_script_serialization(self): # Construct a json representation of a Script model script_model_json = {} script_model_json['instructions'] = 'testString' script_model_json['script'] = 'testString' script_model_json['script_permission'] = 'testString' script_model_json['delete_script'] = 'testString' script_model_json['scope'] = 'testString' # Construct a model instance of Script by calling from_dict on the json representation script_model = Script.from_dict(script_model_json) assert script_model != False # Construct a model instance of Script by calling from_dict on the json representation script_model_dict = Script.from_dict(script_model_json).__dict__ script_model2 = Script(**script_model_dict) # Verify the model instances are equivalent assert script_model == script_model2 # Convert model instance back to dict and verify no loss of data script_model_json2 = script_model.to_dict() assert script_model_json2 == script_model_json #----------------------------------------------------------------------------- # Test Class for State #----------------------------------------------------------------------------- class TestState(): #-------------------------------------------------------- # Test serialization/deserialization for State #-------------------------------------------------------- def test_state_serialization(self): # Construct a json representation of a State model state_model_json = {} state_model_json['current'] = 'testString' state_model_json['current_entered'] = '2020-01-28T18:40:40.123456Z' state_model_json['pending'] = 'testString' state_model_json['pending_requested'] = '2020-01-28T18:40:40.123456Z' state_model_json['previous'] = 'testString' # Construct a model instance of State by calling from_dict on the json representation state_model = State.from_dict(state_model_json) assert state_model != False # Construct a model instance of State by calling from_dict on the json representation state_model_dict = State.from_dict(state_model_json).__dict__ state_model2 = State(**state_model_dict) # Verify the model instances are equivalent assert state_model == state_model2 # Convert model instance back to dict and verify no loss of data state_model_json2 = state_model.to_dict() assert state_model_json2 == state_model_json #----------------------------------------------------------------------------- # Test Class for SyndicationAuthorization #----------------------------------------------------------------------------- class TestSyndicationAuthorization(): #-------------------------------------------------------- # Test serialization/deserialization for SyndicationAuthorization #-------------------------------------------------------- def test_syndication_authorization_serialization(self): # Construct a json representation of a SyndicationAuthorization model syndication_authorization_model_json = {} syndication_authorization_model_json['token'] = 'testString' syndication_authorization_model_json['last_run'] = '2020-01-28T18:40:40.123456Z' # Construct a model instance of SyndicationAuthorization by calling from_dict on the json representation syndication_authorization_model = SyndicationAuthorization.from_dict(syndication_authorization_model_json) assert syndication_authorization_model != False # Construct a model instance of SyndicationAuthorization by calling from_dict on the json representation syndication_authorization_model_dict = SyndicationAuthorization.from_dict(syndication_authorization_model_json).__dict__ syndication_authorization_model2 = SyndicationAuthorization(**syndication_authorization_model_dict) # Verify the model instances are equivalent assert syndication_authorization_model == syndication_authorization_model2 # Convert model instance back to dict and verify no loss of data syndication_authorization_model_json2 = syndication_authorization_model.to_dict() assert syndication_authorization_model_json2 == syndication_authorization_model_json #----------------------------------------------------------------------------- # Test Class for SyndicationCluster #----------------------------------------------------------------------------- class TestSyndicationCluster(): #-------------------------------------------------------- # Test serialization/deserialization for SyndicationCluster #-------------------------------------------------------- def test_syndication_cluster_serialization(self): # Construct a json representation of a SyndicationCluster model syndication_cluster_model_json = {} syndication_cluster_model_json['region'] = 'testString' syndication_cluster_model_json['id'] = 'testString' syndication_cluster_model_json['name'] = 'testString' syndication_cluster_model_json['resource_group_name'] = 'testString' syndication_cluster_model_json['type'] = 'testString' syndication_cluster_model_json['namespaces'] = ['testString'] syndication_cluster_model_json['all_namespaces'] = True # Construct a model instance of SyndicationCluster by calling from_dict on the json representation syndication_cluster_model = SyndicationCluster.from_dict(syndication_cluster_model_json) assert syndication_cluster_model != False # Construct a model instance of SyndicationCluster by calling from_dict on the json representation syndication_cluster_model_dict = SyndicationCluster.from_dict(syndication_cluster_model_json).__dict__ syndication_cluster_model2 = SyndicationCluster(**syndication_cluster_model_dict) # Verify the model instances are equivalent assert syndication_cluster_model == syndication_cluster_model2 # Convert model instance back to dict and verify no loss of data syndication_cluster_model_json2 = syndication_cluster_model.to_dict() assert syndication_cluster_model_json2 == syndication_cluster_model_json #----------------------------------------------------------------------------- # Test Class for SyndicationHistory #----------------------------------------------------------------------------- class TestSyndicationHistory(): #-------------------------------------------------------- # Test serialization/deserialization for SyndicationHistory #-------------------------------------------------------- def test_syndication_history_serialization(self): # Construct dict forms of any model objects needed in order to build this model. syndication_cluster_model = {} # SyndicationCluster syndication_cluster_model['region'] = 'testString' syndication_cluster_model['id'] = 'testString' syndication_cluster_model['name'] = 'testString' syndication_cluster_model['resource_group_name'] = 'testString' syndication_cluster_model['type'] = 'testString' syndication_cluster_model['namespaces'] = ['testString'] syndication_cluster_model['all_namespaces'] = True # Construct a json representation of a SyndicationHistory model syndication_history_model_json = {} syndication_history_model_json['namespaces'] = ['testString'] syndication_history_model_json['clusters'] = [syndication_cluster_model] syndication_history_model_json['last_run'] = '2020-01-28T18:40:40.123456Z' # Construct a model instance of SyndicationHistory by calling from_dict on the json representation syndication_history_model = SyndicationHistory.from_dict(syndication_history_model_json) assert syndication_history_model != False # Construct a model instance of SyndicationHistory by calling from_dict on the json representation syndication_history_model_dict = SyndicationHistory.from_dict(syndication_history_model_json).__dict__ syndication_history_model2 = SyndicationHistory(**syndication_history_model_dict) # Verify the model instances are equivalent assert syndication_history_model == syndication_history_model2 # Convert model instance back to dict and verify no loss of data syndication_history_model_json2 = syndication_history_model.to_dict() assert syndication_history_model_json2 == syndication_history_model_json #----------------------------------------------------------------------------- # Test Class for SyndicationResource #----------------------------------------------------------------------------- class TestSyndicationResource(): #-------------------------------------------------------- # Test serialization/deserialization for SyndicationResource #-------------------------------------------------------- def test_syndication_resource_serialization(self): # Construct dict forms of any model objects needed in order to build this model. syndication_cluster_model = {} # SyndicationCluster syndication_cluster_model['region'] = 'testString' syndication_cluster_model['id'] = 'testString' syndication_cluster_model['name'] = 'testString' syndication_cluster_model['resource_group_name'] = 'testString' syndication_cluster_model['type'] = 'testString' syndication_cluster_model['namespaces'] = ['testString'] syndication_cluster_model['all_namespaces'] = True syndication_authorization_model = {} # SyndicationAuthorization syndication_authorization_model['token'] = 'testString' syndication_authorization_model['last_run'] = '2020-01-28T18:40:40.123456Z' syndication_history_model = {} # SyndicationHistory syndication_history_model['namespaces'] = ['testString'] syndication_history_model['clusters'] = [syndication_cluster_model] syndication_history_model['last_run'] = '2020-01-28T18:40:40.123456Z' # Construct a json representation of a SyndicationResource model syndication_resource_model_json = {} syndication_resource_model_json['remove_related_components'] = True syndication_resource_model_json['clusters'] = [syndication_cluster_model] syndication_resource_model_json['history'] = syndication_history_model syndication_resource_model_json['authorization'] = syndication_authorization_model # Construct a model instance of SyndicationResource by calling from_dict on the json representation syndication_resource_model = SyndicationResource.from_dict(syndication_resource_model_json) assert syndication_resource_model != False # Construct a model instance of SyndicationResource by calling from_dict on the json representation syndication_resource_model_dict = SyndicationResource.from_dict(syndication_resource_model_json).__dict__ syndication_resource_model2 = SyndicationResource(**syndication_resource_model_dict) # Verify the model instances are equivalent assert syndication_resource_model == syndication_resource_model2 # Convert model instance back to dict and verify no loss of data syndication_resource_model_json2 = syndication_resource_model.to_dict() assert syndication_resource_model_json2 == syndication_resource_model_json #----------------------------------------------------------------------------- # Test Class for Validation #----------------------------------------------------------------------------- class TestValidation(): #-------------------------------------------------------- # Test serialization/deserialization for Validation #-------------------------------------------------------- def test_validation_serialization(self): # Construct a json representation of a Validation model validation_model_json = {} validation_model_json['validated'] = '2020-01-28T18:40:40.123456Z' validation_model_json['requested'] = '2020-01-28T18:40:40.123456Z' validation_model_json['state'] = 'testString' validation_model_json['last_operation'] = 'testString' validation_model_json['target'] = { 'foo': 'bar' } # Construct a model instance of Validation by calling from_dict on the json representation validation_model = Validation.from_dict(validation_model_json) assert validation_model != False # Construct a model instance of Validation by calling from_dict on the json representation validation_model_dict = Validation.from_dict(validation_model_json).__dict__ validation_model2 = Validation(**validation_model_dict) # Verify the model instances are equivalent assert validation_model == validation_model2 # Convert model instance back to dict and verify no loss of data validation_model_json2 = validation_model.to_dict() assert validation_model_json2 == validation_model_json #----------------------------------------------------------------------------- # Test Class for Version #----------------------------------------------------------------------------- class TestVersion(): #-------------------------------------------------------- # Test serialization/deserialization for Version #-------------------------------------------------------- def test_version_serialization(self): # Construct dict forms of any model objects needed in order to build this model. configuration_model = {} # Configuration configuration_model['key'] = 'testString' configuration_model['type'] = 'testString' configuration_model['default_value'] = { 'foo': 'bar' } configuration_model['value_constraint'] = 'testString' configuration_model['description'] = 'testString' configuration_model['required'] = True configuration_model['options'] = [{ 'foo': 'bar' }] configuration_model['hidden'] = True license_model = {} # License license_model['id'] = 'testString' license_model['name'] = 'testString' license_model['type'] = 'testString' license_model['url'] = 'testString' license_model['description'] = 'testString' resource_model = {} # Resource resource_model['type'] = 'mem' resource_model['value'] = { 'foo': 'bar' } script_model = {} # Script script_model['instructions'] = 'testString' script_model['script'] = 'testString' script_model['script_permission'] = 'testString' script_model['delete_script'] = 'testString' script_model['scope'] = 'testString' state_model = {} # State state_model['current'] = 'testString' state_model['current_entered'] = '2020-01-28T18:40:40.123456Z' state_model['pending'] = 'testString' state_model['pending_requested'] = '2020-01-28T18:40:40.123456Z' state_model['previous'] = 'testString' validation_model = {} # Validation validation_model['validated'] = '2020-01-28T18:40:40.123456Z' validation_model['requested'] = '2020-01-28T18:40:40.123456Z' validation_model['state'] = 'testString' validation_model['last_operation'] = 'testString' validation_model['target'] = { 'foo': 'bar' } version_entitlement_model = {} # VersionEntitlement version_entitlement_model['provider_name'] = 'testString' version_entitlement_model['provider_id'] = 'testString' version_entitlement_model['product_id'] = 'testString' version_entitlement_model['part_numbers'] = ['testString'] version_entitlement_model['image_repo_name'] = 'testString' # Construct a json representation of a Version model version_model_json = {} version_model_json['id'] = 'testString' version_model_json['_rev'] = 'testString' version_model_json['crn'] = 'testString' version_model_json['version'] = 'testString' version_model_json['sha'] = 'testString' version_model_json['created'] = '2020-01-28T18:40:40.123456Z' version_model_json['updated'] = '2020-01-28T18:40:40.123456Z' version_model_json['offering_id'] = 'testString' version_model_json['catalog_id'] = 'testString' version_model_json['kind_id'] = 'testString' version_model_json['tags'] = ['testString'] version_model_json['repo_url'] = 'testString' version_model_json['source_url'] = 'testString' version_model_json['tgz_url'] = 'testString' version_model_json['configuration'] = [configuration_model] version_model_json['metadata'] = { 'foo': 'bar' } version_model_json['validation'] = validation_model version_model_json['required_resources'] = [resource_model] version_model_json['single_instance'] = True version_model_json['install'] = script_model version_model_json['pre_install'] = [script_model] version_model_json['entitlement'] = version_entitlement_model version_model_json['licenses'] = [license_model] version_model_json['image_manifest_url'] = 'testString' version_model_json['deprecated'] = True version_model_json['package_version'] = 'testString' version_model_json['state'] = state_model version_model_json['version_locator'] = 'testString' version_model_json['console_url'] = 'testString' version_model_json['long_description'] = 'testString' version_model_json['whitelisted_accounts'] = ['testString'] # Construct a model instance of Version by calling from_dict on the json representation version_model = Version.from_dict(version_model_json) assert version_model != False # Construct a model instance of Version by calling from_dict on the json representation version_model_dict = Version.from_dict(version_model_json).__dict__ version_model2 = Version(**version_model_dict) # Verify the model instances are equivalent assert version_model == version_model2 # Convert model instance back to dict and verify no loss of data version_model_json2 = version_model.to_dict() assert version_model_json2 == version_model_json #----------------------------------------------------------------------------- # Test Class for VersionEntitlement #----------------------------------------------------------------------------- class TestVersionEntitlement(): #-------------------------------------------------------- # Test serialization/deserialization for VersionEntitlement #-------------------------------------------------------- def test_version_entitlement_serialization(self): # Construct a json representation of a VersionEntitlement model version_entitlement_model_json = {} version_entitlement_model_json['provider_name'] = 'testString' version_entitlement_model_json['provider_id'] = 'testString' version_entitlement_model_json['product_id'] = 'testString' version_entitlement_model_json['part_numbers'] = ['testString'] version_entitlement_model_json['image_repo_name'] = 'testString' # Construct a model instance of VersionEntitlement by calling from_dict on the json representation version_entitlement_model = VersionEntitlement.from_dict(version_entitlement_model_json) assert version_entitlement_model != False # Construct a model instance of VersionEntitlement by calling from_dict on the json representation version_entitlement_model_dict = VersionEntitlement.from_dict(version_entitlement_model_json).__dict__ version_entitlement_model2 = VersionEntitlement(**version_entitlement_model_dict) # Verify the model instances are equivalent assert version_entitlement_model == version_entitlement_model2 # Convert model instance back to dict and verify no loss of data version_entitlement_model_json2 = version_entitlement_model.to_dict() assert version_entitlement_model_json2 == version_entitlement_model_json #----------------------------------------------------------------------------- # Test Class for VersionUpdateDescriptor #----------------------------------------------------------------------------- class TestVersionUpdateDescriptor(): #-------------------------------------------------------- # Test serialization/deserialization for VersionUpdateDescriptor #-------------------------------------------------------- def test_version_update_descriptor_serialization(self): # Construct dict forms of any model objects needed in order to build this model. resource_model = {} # Resource resource_model['type'] = 'mem' resource_model['value'] = { 'foo': 'bar' } state_model = {} # State state_model['current'] = 'testString' state_model['current_entered'] = '2020-01-28T18:40:40.123456Z' state_model['pending'] = 'testString' state_model['pending_requested'] = '2020-01-28T18:40:40.123456Z' state_model['previous'] = 'testString' # Construct a json representation of a VersionUpdateDescriptor model version_update_descriptor_model_json = {} version_update_descriptor_model_json['version_locator'] = 'testString' version_update_descriptor_model_json['version'] = 'testString' version_update_descriptor_model_json['state'] = state_model version_update_descriptor_model_json['required_resources'] = [resource_model] version_update_descriptor_model_json['package_version'] = 'testString' version_update_descriptor_model_json['can_update'] = True version_update_descriptor_model_json['messages'] = { 'foo': 'bar' } # Construct a model instance of VersionUpdateDescriptor by calling from_dict on the json representation version_update_descriptor_model = VersionUpdateDescriptor.from_dict(version_update_descriptor_model_json) assert version_update_descriptor_model != False # Construct a model instance of VersionUpdateDescriptor by calling from_dict on the json representation version_update_descriptor_model_dict = VersionUpdateDescriptor.from_dict(version_update_descriptor_model_json).__dict__ version_update_descriptor_model2 = VersionUpdateDescriptor(**version_update_descriptor_model_dict) # Verify the model instances are equivalent assert version_update_descriptor_model == version_update_descriptor_model2 # Convert model instance back to dict and verify no loss of data version_update_descriptor_model_json2 = version_update_descriptor_model.to_dict() assert version_update_descriptor_model_json2 == version_update_descriptor_model_json # endregion ############################################################################## # End of Model Tests ##############################################################################

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7

7292c0a56b03ba9c7772ad4e5ac6ff128912a8da

2,444

py

Python

Estrutura_de_decisao/Exercicio_12.py

Guga-crypto/Exercicios_Iniciante

e9bdf352aacf3a67b0cc879ac969df486d01f86d

[ "MIT" ]

null

Estrutura_de_decisao/Exercicio_12.py

Guga-crypto/Exercicios_Iniciante

e9bdf352aacf3a67b0cc879ac969df486d01f86d

[ "MIT" ]

null

Estrutura_de_decisao/Exercicio_12.py

Guga-crypto/Exercicios_Iniciante

e9bdf352aacf3a67b0cc879ac969df486d01f86d

[ "MIT" ]

null

salario_hora = float(input('Qual o valor da hora trabalhada?\n')) hora_trab = int(input('Quantas horas trabalhou no mês?\n')) salario_bruto = hora_trab * salario_hora if salario_bruto < 900: print(f"Salário Bruto: ({salario_hora} * {hora_trab})\t\t: R$ {salario_bruto}") print('(-) IR (isento)\t\t\t\t : R$ 0,0') inss = (salario_bruto * 10) / 100 print(f'(-) INSS (10%)\t\t\t\t : R$ {inss}') fgts = (salario_bruto * 11) / 100 print(f'FGTS (11%)\t\t\t\t : R$ {fgts}') print(f'Total de descontos\t\t\t : R$ {inss}') salario_liquido = salario_bruto - inss print(f'Salário liquido\t\t\t\t : R$ {salario_liquido}') elif 900 <= salario_bruto < 1500: print(f"Salário Bruto: ({salario_hora} * {hora_trab})\t\t: R$ {salario_bruto})") ir = (salario_bruto * 5) / 100 print(f'(-) IR (5%)\t\t\t\t : R$ {ir}') inss = (salario_bruto * 10) / 100 print(f'(-) INSS (10%)\t\t\t\t : R$ {inss}') fgts = (salario_bruto * 11) / 100 print(f'FGTS (11%)\t\t\t\t : R$ {fgts}') descontos = inss + ir print(f'Total de descontos\t\t\t : R$ {descontos}') salario_liquido = salario_bruto - descontos print(f'Salário liquido\t\t\t\t : R$ {salario_liquido}') elif 1500 <= salario_bruto <2500: print(f"Salário Bruto: ({salario_hora} * {hora_trab})\t\t: R$ {salario_bruto})") ir = (salario_bruto * 10) / 100 print(f'(-) IR (10%)\t\t\t\t : R$ {ir}') inss = (salario_bruto * 10) / 100 print(f'(-) INSS (10%)\t\t\t\t : R$ {inss}') fgts = (salario_bruto * 11) / 100 print(f'FGTS (11%)\t\t\t\t : R$ {fgts}') descontos = inss + ir print(f'Total de descontos\t\t\t : R$ {descontos}') salario_liquido = salario_bruto - descontos print(f'Salário liquido\t\t\t\t : R$ {salario_liquido}') elif salario_bruto >= 2500: print(f"Salário Bruto: ({salario_hora} * {hora_trab})\t\t: R$ {salario_bruto}") ir = (salario_bruto * 20) / 100 print(f'(-) IR (20%)\t\t\t\t : R$ {ir}') inss = (salario_bruto * 10) / 100 print(f'(-) INSS (10%)\t\t\t\t : R$ {inss}') fgts = (salario_bruto * 11) / 100 print(f'FGTS (11%)\t\t\t\t : R$ {fgts}') descontos = inss + ir print(f'Total de descontos\t\t\t : R$ {descontos}') salario_liquido = salario_bruto - descontos print(f'Salário liquido\t\t\t\t : R$ {salario_liquido}') else: print ('Entradas inválidas.')

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0.801894

0.792425

0.773489

0

0.052298

0.22545

2,444

53

85

46.113208

0.673006

0

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0

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null

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1

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null

0

1

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7

72d2add59bbf0ed0044520d0a45a59739008a9c7

103

py

Python

synthesis/__init__.py

sahilk15/synthetic_data_generation

06676d15821fc5ce27464a46d294fd3bb484ecfa

[ "MIT" ]

4

2021-02-16T00:38:27.000Z

2022-01-21T21:59:28.000Z

synthesis/__init__.py

Daan0/synthetic_data_generation

5a0d1818cba2bc8b629869773a2f86a156d25fd9

[ "MIT" ]

2

2021-08-20T14:32:59.000Z

2022-03-18T10:15:40.000Z

synthesis/__init__.py

Daan0/synthetic_data_generation

5a0d1818cba2bc8b629869773a2f86a156d25fd9

[ "MIT" ]

5

2020-12-08T05:01:39.000Z

2022-03-24T18:12:45.000Z

from synthesis import synthesizers from synthesis import transformers from synthesis import evaluation

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7

72f94660d74110557a4db99f605fa00e1048d7bd

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py

Python

users_api/migrations/0002_auto_20220226_0659.py

gonulalan/budi-food-api

2120c03f3985000cd41f0371d4138cd2fa0223cf

[ "MIT" ]

null

users_api/migrations/0002_auto_20220226_0659.py

gonulalan/budi-food-api

2120c03f3985000cd41f0371d4138cd2fa0223cf

[ "MIT" ]

null

users_api/migrations/0002_auto_20220226_0659.py

gonulalan/budi-food-api

2120c03f3985000cd41f0371d4138cd2fa0223cf

[ "MIT" ]

null

# Generated by Django 3.2.12 on 2022-02-26 06:59 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('users_api', '0001_initial'), ] operations = [ migrations.AddField( model_name='userprofile', name='company_address', field=models.CharField(blank=True, default=None, max_length=500, null=True), ), migrations.AddField( model_name='userprofile', name='company_official_name', field=models.CharField(blank=True, default=None, max_length=255, null=True), ), migrations.AddField( model_name='userprofile', name='company_sign_name', field=models.CharField(blank=True, default=None, max_length=255, null=True), ), migrations.AddField( model_name='userprofile', name='company_tax_administration', field=models.CharField(blank=True, default=None, max_length=255, null=True), ), migrations.AddField( model_name='userprofile', name='company_tax_id', field=models.CharField(blank=True, default=None, max_length=20, null=True), ), migrations.AddField( model_name='userprofile', name='getiryemek_api_key', field=models.CharField(blank=True, default=None, max_length=255, null=True), ), migrations.AddField( model_name='userprofile', name='getiryemek_api_secret', field=models.CharField(blank=True, default=None, max_length=255, null=True), ), migrations.AddField( model_name='userprofile', name='identity_id', field=models.CharField(blank=True, default=None, max_length=20, null=True), ), migrations.AddField( model_name='userprofile', name='trendyolyemek_api_key', field=models.CharField(blank=True, default=None, max_length=255, null=True), ), migrations.AddField( model_name='userprofile', name='trendyolyemek_api_secret', field=models.CharField(blank=True, default=None, max_length=255, null=True), ), migrations.AddField( model_name='userprofile', name='yemeksepeti_api_key', field=models.CharField(blank=True, default=None, max_length=255, null=True), ), migrations.AddField( model_name='userprofile', name='yemeksepeti_api_secret', field=models.CharField(blank=True, default=None, max_length=255, null=True), ), ]

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f43e94cc0186dcfafa2ac55ed75d38c998a8c86d

5,493

py

Python

test/test_suda.py

scottbw/suda

f89cd18055a3b941c1c00fda7b23a549516ee86f

[ "MIT" ]

null

test/test_suda.py

scottbw/suda

f89cd18055a3b941c1c00fda7b23a549516ee86f

[ "MIT" ]

null

test/test_suda.py

scottbw/suda

f89cd18055a3b941c1c00fda7b23a549516ee86f

[ "MIT" ]

null

import random import pandas as pd import pytest from suda import suda, find_msu @pytest.fixture def data(): persons = [ {'gender': 'female', 'region': 'urban', 'education': 'secondary incomplete', 'labourstatus': 'employed'}, {'gender': 'female', 'region': 'urban', 'education': 'secondary incomplete', 'labourstatus': 'employed'}, {'gender': 'female', 'region': 'urban', 'education': 'primary incomplete', 'labourstatus': 'non-LF'}, {'gender': 'male', 'region': 'urban', 'education': 'secondary complete', 'labourstatus': 'employed'}, {'gender': 'female', 'region': 'rural', 'education': 'secondary complete', 'labourstatus': 'unemployed'}, {'gender': 'male', 'region': 'urban', 'education': 'secondary complete', 'labourstatus': 'employed'}, {'gender': 'female', 'region': 'urban', 'education': 'primary complete', 'labourstatus': 'non-LF'}, {'gender': 'male', 'region': 'urban', 'education': 'post-secondary', 'labourstatus': 'unemployed'}, {'gender': 'female', 'region': 'urban', 'education': 'secondary incomplete', 'labourstatus': 'non-LF'}, {'gender': 'female', 'region': 'urban', 'education': 'secondary incomplete', 'labourstatus': 'non-LF'}, {'gender': 'female', 'region': 'urban', 'education': 'secondary complete', 'labourstatus': 'non-LF'} ] return pd.DataFrame(persons) @pytest.fixture def large_data(): return pd.read_csv('test_data.csv') # def test_performance(large_data): # suda(large_data, 4) def test_msu(data): groups = [['gender', 'region']] aggregations = {'msu': 'min', 'suda': 'sum', 'fK': 'min', 'fM': 'sum'} for column in data.columns: aggregations[column] = 'max' results = find_msu(data, groups=groups, aggregations=aggregations, att=4) results = results.fillna(0) assert (results.loc[0].msu == 0) assert (results.loc[1].msu == 0) assert (results.loc[2].msu == 0) assert(results.loc[3].msu == 0) assert (results.loc[4].msu == 2) assert (results.loc[5].msu == 0) assert (results.loc[6].msu == 0) assert(results.loc[7].msu == 0) assert (results.loc[8].msu == 0) assert (results.loc[9].msu == 0) assert (results.loc[10].msu == 0) def test_suda(data): results = suda(data, max_msu=3) print(results) assert (results.loc[0].msu == 0) assert (results.loc[1].msu == 0) assert (results.loc[2].msu == 1) assert(results.loc[3].msu == 0) assert (results.loc[4].msu == 1) assert (results.loc[5].msu == 0) assert (results.loc[6].msu == 1) assert(results.loc[7].msu == 1) assert (results.loc[8].msu == 0) assert (results.loc[9].msu == 0) assert (results.loc[10].msu == 2) assert (results.loc[0].suda == 0) assert (results.loc[1].suda == 0) assert (results.loc[2].suda == 15) assert(results.loc[3].suda == 0) assert (results.loc[4].suda == 20) assert (results.loc[5].suda == 0) assert (results.loc[6].suda == 15) assert(results.loc[7].suda == 20) assert (results.loc[8].suda == 0) assert (results.loc[9].suda == 0) assert (results.loc[10].suda == 5) def test_suda_with_columns(data): results = suda(data, max_msu=2, columns=['gender', 'region', 'education']) # check we get back columns we didn't include in SUDA calcs assert(results.loc[0].labourstatus == 'employed') assert (results.loc[0].msu == 0) assert (results.loc[1].msu == 0) assert (results.loc[2].msu == 1) assert(results.loc[3].msu == 0) assert (results.loc[4].msu == 1) assert (results.loc[5].msu == 0) assert (results.loc[6].msu == 1) assert(results.loc[7].msu == 1) assert (results.loc[8].msu == 0) assert (results.loc[9].msu == 0) assert (results.loc[10].msu == 0) assert (results.loc[0].suda == 0) assert (results.loc[1].suda == 0) assert (results.loc[2].suda == 4) assert(results.loc[3].suda == 0) assert (results.loc[4].suda == 4) assert (results.loc[5].suda == 0) assert (results.loc[6].suda == 4) assert(results.loc[7].suda == 4) assert (results.loc[8].suda == 0) assert (results.loc[9].suda == 0) assert (results.loc[10].suda == 0) def test_suda_no_uniques(): persons = [ {'gender': 'female', 'region': 'urban', 'education': 'secondary incomplete', 'labourstatus': 'employed'}, {'gender': 'female', 'region': 'urban', 'education': 'secondary incomplete', 'labourstatus': 'employed'}, {'gender': 'female', 'region': 'urban', 'education': 'secondary incomplete', 'labourstatus': 'employed'}, {'gender': 'female', 'region': 'urban', 'education': 'secondary incomplete', 'labourstatus': 'employed'}, {'gender': 'female', 'region': 'urban', 'education': 'secondary incomplete', 'labourstatus': 'employed'}, {'gender': 'female', 'region': 'urban', 'education': 'secondary incomplete', 'labourstatus': 'employed'}, {'gender': 'female', 'region': 'urban', 'education': 'secondary incomplete', 'labourstatus': 'employed'}, {'gender': 'female', 'region': 'urban', 'education': 'secondary incomplete', 'labourstatus': 'employed'}, {'gender': 'female', 'region': 'urban', 'education': 'secondary incomplete', 'labourstatus': 'employed'}, {'gender': 'female', 'region': 'urban', 'education': 'secondary incomplete', 'labourstatus': 'employed'} ] df = pd.DataFrame(persons) results = suda(df, max_msu=3) assert(results.equals(df))

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9

bec7d767b8dc8231986a5aeb3cc5e4c6af6c1b30

59,016

py

Python

roberta/StaticData.py

sroopsai/robertalab-ev3dev

7046991247f0e5c598246445e9f65817f432983e

[ "Apache-2.0" ]

null

roberta/StaticData.py

sroopsai/robertalab-ev3dev

7046991247f0e5c598246445e9f65817f432983e

[ "Apache-2.0" ]

null

roberta/StaticData.py

sroopsai/robertalab-ev3dev

7046991247f0e5c598246445e9f65817f432983e

[ "Apache-2.0" ]

1

2021-01-28T14:55:15.000Z

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4,539.692308

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1

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1

null

1

0

17

fe874efea71053ee6af830c0569021af4192e452

128

py

Python

app/component/sink/__init__.py

melphi/kafkaform

391c4c70b6aff9fd5ad703dcf4b6e863e92d53b6

[ "MIT" ]

null

app/component/sink/__init__.py

melphi/kafkaform

391c4c70b6aff9fd5ad703dcf4b6e863e92d53b6

[ "MIT" ]

null

app/component/sink/__init__.py

melphi/kafkaform

391c4c70b6aff9fd5ad703dcf4b6e863e92d53b6

[ "MIT" ]

null

from app.component.sink.parser import * from app.component.sink.resolver import * from app.component.sink.transitioner import *

32

45

0.8125

18

128

5.777778

0.444444

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0.461538

0.576923

0.5

0

0.09375

128

3

46

42.666667

0.896552

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

229590ba807f258a2c04f2a6c09b50506523cb22

30,785

py

Python

ding/model/template/q_learning.py

konnase/DI-engine

f803499cad191e9277b10e194132d74757bcfc8e

[ "Apache-2.0" ]

null

ding/model/template/q_learning.py

konnase/DI-engine

f803499cad191e9277b10e194132d74757bcfc8e

[ "Apache-2.0" ]

null

ding/model/template/q_learning.py

konnase/DI-engine

f803499cad191e9277b10e194132d74757bcfc8e

[ "Apache-2.0" ]

null

from typing import Union, Optional, Dict, Callable, List import torch import torch.nn as nn from ding.torch_utils import get_lstm from ding.utils import MODEL_REGISTRY, SequenceType, squeeze from ..common import FCEncoder, ConvEncoder, DiscreteHead, DuelingHead, MultiHead, RainbowHead, \ QuantileHead, QRDQNHead, DistributionHead @MODEL_REGISTRY.register('dqn') class DQN(nn.Module): def __init__( self, obs_shape: Union[int, SequenceType], action_shape: Union[int, SequenceType], encoder_hidden_size_list: SequenceType = [128, 128, 64], dueling: bool = True, head_hidden_size: Optional[int] = None, head_layer_num: int = 1, activation: Optional[nn.Module] = nn.ReLU(), norm_type: Optional[str] = None ) -> None: """ Overview: Init the DQN (encoder + head) Model according to input arguments. Arguments: - obs_shape (:obj:`Union[int, SequenceType]`): Observation space shape, such as 8 or [4, 84, 84]. - action_shape (:obj:`Union[int, SequenceType]`): Action space shape, such as 6 or [2, 3, 3]. - encoder_hidden_size_list (:obj:`SequenceType`): Collection of ``hidden_size`` to pass to ``Encoder``, \ the last element must match ``head_hidden_size``. - dueling (:obj:`dueling`): Whether choose ``DuelingHead`` or ``DiscreteHead(default)``. - head_hidden_size (:obj:`Optional[int]`): The ``hidden_size`` of head network. - head_layer_num (:obj:`int`): The number of layers used in the head network to compute Q value output - activation (:obj:`Optional[nn.Module]`): The type of activation function in networks \ if ``None`` then default set it to ``nn.ReLU()`` - norm_type (:obj:`Optional[str]`): The type of normalization in networks, see \ ``ding.torch_utils.fc_block`` for more details. """ super(DQN, self).__init__() # For compatibility: 1, (1, ), [4, 32, 32] obs_shape, action_shape = squeeze(obs_shape), squeeze(action_shape) if head_hidden_size is None: head_hidden_size = encoder_hidden_size_list[-1] # FC Encoder if isinstance(obs_shape, int) or len(obs_shape) == 1: self.encoder = FCEncoder(obs_shape, encoder_hidden_size_list, activation=activation, norm_type=norm_type) # Conv Encoder elif len(obs_shape) == 3: self.encoder = ConvEncoder(obs_shape, encoder_hidden_size_list, activation=activation, norm_type=norm_type) else: raise RuntimeError( "not support obs_shape for pre-defined encoder: {}, please customize your own DQN".format(obs_shape) ) # Head Type if dueling: head_cls = DuelingHead else: head_cls = DiscreteHead multi_head = not isinstance(action_shape, int) if multi_head: self.head = MultiHead( head_cls, head_hidden_size, action_shape, layer_num=head_layer_num, activation=activation, norm_type=norm_type ) else: self.head = head_cls( head_hidden_size, action_shape, head_layer_num, activation=activation, norm_type=norm_type ) def forward(self, x: torch.Tensor) -> Dict: r""" Overview: DQN forward computation graph, input observation tensor to predict q_value. Arguments: - x (:obj:`torch.Tensor`): Observation inputs Returns: - outputs (:obj:`Dict`): DQN forward outputs, such as q_value. ReturnsKeys: - logit (:obj:`torch.Tensor`): Discrete Q-value output of each action dimension. Shapes: - x (:obj:`torch.Tensor`): :math:`(B, N)`, where B is batch size and N is ``obs_shape`` - logit (:obj:`torch.FloatTensor`): :math:`(B, M)`, where B is batch size and M is ``action_shape`` Examples: >>> model = DQN(32, 6) # arguments: 'obs_shape' and 'action_shape' >>> inputs = torch.randn(4, 32) >>> outputs = model(inputs) >>> assert isinstance(outputs, dict) and outputs['logit'].shape == torch.Size([4, 6]) """ x = self.encoder(x) x = self.head(x) return x @MODEL_REGISTRY.register('c51dqn') class C51DQN(nn.Module): def __init__( self, obs_shape: Union[int, SequenceType], action_shape: Union[int, SequenceType], encoder_hidden_size_list: SequenceType = [128, 128, 64], head_hidden_size: int = None, head_layer_num: int = 1, activation: Optional[nn.Module] = nn.ReLU(), norm_type: Optional[str] = None, v_min: Optional[float] = -10, v_max: Optional[float] = 10, n_atom: Optional[int] = 51, ) -> None: r""" Overview: Init the C51 Model according to input arguments. Arguments: - obs_shape (:obj:`Union[int, SequenceType]`): Observation's space. - action_shape (:obj:`Union[int, SequenceType]`): Action's space. - encoder_hidden_size_list (:obj:`SequenceType`): Collection of ``hidden_size`` to pass to ``Encoder`` - head_hidden_size (:obj:`Optional[int]`): The ``hidden_size`` to pass to ``Head``. - head_layer_num (:obj:`int`): The num of layers used in the network to compute Q value output - activation (:obj:`Optional[nn.Module]`): The type of activation function to use in ``MLP`` the after ``layer_fn``, if ``None`` then default set to ``nn.ReLU()`` - norm_type (:obj:`Optional[str]`): The type of normalization to use, see ``ding.torch_utils.fc_block`` for more details` - n_atom (:obj:`Optional[int]`): Number of atoms in the prediction distribution. """ super(C51DQN, self).__init__() # For compatibility: 1, (1, ), [4, 32, 32] obs_shape, action_shape = squeeze(obs_shape), squeeze(action_shape) if head_hidden_size is None: head_hidden_size = encoder_hidden_size_list[-1] # FC Encoder if isinstance(obs_shape, int) or len(obs_shape) == 1: self.encoder = FCEncoder(obs_shape, encoder_hidden_size_list, activation=activation, norm_type=norm_type) # Conv Encoder elif len(obs_shape) == 3: self.encoder = ConvEncoder(obs_shape, encoder_hidden_size_list, activation=activation, norm_type=norm_type) else: raise RuntimeError( "not support obs_shape for pre-defined encoder: {}, please customize your own C51DQN".format(obs_shape) ) # Head Type multi_head = not isinstance(action_shape, int) if multi_head: self.head = MultiHead( DistributionHead, head_hidden_size, action_shape, layer_num=head_layer_num, activation=activation, norm_type=norm_type, n_atom=n_atom, v_min=v_min, v_max=v_max, ) else: self.head = DistributionHead( head_hidden_size, action_shape, head_layer_num, activation=activation, norm_type=norm_type, n_atom=n_atom, v_min=v_min, v_max=v_max, ) def forward(self, x: torch.Tensor) -> Dict: r""" Overview: Use observation tensor to predict C51DQN's output. Parameter updates with C51DQN's MLPs forward setup. Arguments: - x (:obj:`torch.Tensor`): The encoded embedding tensor w/ ``(B, N=head_hidden_size)``. Returns: - outputs (:obj:`Dict`): Run with encoder and head. Return the result prediction dictionary. ReturnsKeys: - logit (:obj:`torch.Tensor`): Logit tensor with same size as input ``x``. - distribution (:obj:`torch.Tensor`): Distribution tensor of size ``(B, N, n_atom)`` Shapes: - x (:obj:`torch.Tensor`): :math:`(B, N)`, where B is batch size and N is head_hidden_size. - logit (:obj:`torch.FloatTensor`): :math:`(B, M)`, where M is action_shape. - distribution(:obj:`torch.FloatTensor`): :math:`(B, M, P)`, where P is n_atom. Examples: >>> model = C51DQN(128, 64) # arguments: 'obs_shape' and 'action_shape' >>> inputs = torch.randn(4, 128) >>> outputs = model(inputs) >>> assert isinstance(outputs, dict) >>> # default head_hidden_size: int = 64, >>> assert outputs['logit'].shape == torch.Size([4, 64]) >>> # default n_atom: int = 51 >>> assert outputs['distribution'].shape == torch.Size([4, 64, 51]) """ x = self.encoder(x) x = self.head(x) return x @MODEL_REGISTRY.register('qrdqn') class QRDQN(nn.Module): def __init__( self, obs_shape: Union[int, SequenceType], action_shape: Union[int, SequenceType], encoder_hidden_size_list: SequenceType = [128, 128, 64], head_hidden_size: Optional[int] = None, head_layer_num: int = 1, num_quantiles: int = 32, activation: Optional[nn.Module] = nn.ReLU(), norm_type: Optional[str] = None, ) -> None: r""" Overview: Init the QRDQN Model according to input arguments. Arguments: - obs_shape (:obj:`Union[int, SequenceType]`): Observation's space. - action_shape (:obj:`Union[int, SequenceType]`): Action's space. - encoder_hidden_size_list (:obj:`SequenceType`): Collection of ``hidden_size`` to pass to ``Encoder`` - head_hidden_size (:obj:`Optional[int]`): The ``hidden_size`` to pass to ``Head``. - head_layer_num (:obj:`int`): The num of layers used in the network to compute Q value output - num_quantiles (:obj:`int`): Number of quantiles in the prediction distribution. - activation (:obj:`Optional[nn.Module]`): The type of activation function to use in ``MLP`` the after ``layer_fn``, if ``None`` then default set to ``nn.ReLU()`` - norm_type (:obj:`Optional[str]`): The type of normalization to use, see ``ding.torch_utils.fc_block`` for more details` """ super(QRDQN, self).__init__() # For compatibility: 1, (1, ), [4, 32, 32] obs_shape, action_shape = squeeze(obs_shape), squeeze(action_shape) if head_hidden_size is None: head_hidden_size = encoder_hidden_size_list[-1] # FC Encoder if isinstance(obs_shape, int) or len(obs_shape) == 1: self.encoder = FCEncoder(obs_shape, encoder_hidden_size_list, activation=activation, norm_type=norm_type) # Conv Encoder elif len(obs_shape) == 3: self.encoder = ConvEncoder(obs_shape, encoder_hidden_size_list, activation=activation, norm_type=norm_type) else: raise RuntimeError( "not support obs_shape for pre-defined encoder: {}, please customize your own QRDQN".format(obs_shape) ) # Head Type multi_head = not isinstance(action_shape, int) if multi_head: self.head = MultiHead( QRDQNHead, head_hidden_size, action_shape, layer_num=head_layer_num, num_quantiles=num_quantiles, activation=activation, norm_type=norm_type, ) else: self.head = QRDQNHead( head_hidden_size, action_shape, head_layer_num, num_quantiles=num_quantiles, activation=activation, norm_type=norm_type, ) def forward(self, x: torch.Tensor) -> Dict: r""" Overview: Use observation tensor to predict QRDQN's output. Parameter updates with QRDQN's MLPs forward setup. Arguments: - x (:obj:`torch.Tensor`): The encoded embedding tensor with ``(B, N=hidden_size)``. Returns: - outputs (:obj:`Dict`): Run with encoder and head. Return the result prediction dictionary. ReturnsKeys: - logit (:obj:`torch.Tensor`): Logit tensor with same size as input ``x``. - q (:obj:`torch.Tensor`): Q valye tensor tensor of size ``(B, N, num_quantiles)`` - tau (:obj:`torch.Tensor`): tau tensor of size ``(B, N, 1)`` Shapes: - x (:obj:`torch.Tensor`): :math:`(B, N)`, where B is batch size and N is head_hidden_size. - logit (:obj:`torch.FloatTensor`): :math:`(B, M)`, where M is action_shape. - tau (:obj:`torch.Tensor`): :math:`(B, M, 1)` Examples: >>> model = QRDQN(64, 64) >>> inputs = torch.randn(4, 64) >>> outputs = model(inputs) >>> assert isinstance(outputs, dict) >>> assert outputs['logit'].shape == torch.Size([4, 64]) >>> # default num_quantiles : int = 32 >>> assert outputs['q'].shape == torch.Size([4, 64, 32]) >>> assert outputs['tau'].shape == torch.Size([4, 32, 1]) """ x = self.encoder(x) x = self.head(x) return x @MODEL_REGISTRY.register('iqn') class IQN(nn.Module): def __init__( self, obs_shape: Union[int, SequenceType], action_shape: Union[int, SequenceType], encoder_hidden_size_list: SequenceType = [128, 128, 64], head_hidden_size: Optional[int] = None, head_layer_num: int = 1, num_quantiles: int = 32, quantile_embedding_size: int = 128, activation: Optional[nn.Module] = nn.ReLU(), norm_type: Optional[str] = None ) -> None: r""" Overview: Init the IQN Model according to input arguments. Arguments: - obs_shape (:obj:`Union[int, SequenceType]`): Observation space shape. - action_shape (:obj:`Union[int, SequenceType]`): Action space shape. - encoder_hidden_size_list (:obj:`SequenceType`): Collection of ``hidden_size`` to pass to ``Encoder`` - head_hidden_size (:obj:`Optional[int]`): The ``hidden_size`` to pass to ``Head``. - head_layer_num (:obj:`int`): The num of layers used in the network to compute Q value output - num_quantiles (:obj:`int`): Number of quantiles in the prediction distribution. - activation (:obj:`Optional[nn.Module]`): The type of activation function to use in ``MLP`` the after ``layer_fn``, if ``None`` then default set to ``nn.ReLU()`` - norm_type (:obj:`Optional[str]`): The type of normalization to use, see ``ding.torch_utils.fc_block`` for more details. """ super(IQN, self).__init__() # For compatibility: 1, (1, ), [4, 32, 32] obs_shape, action_shape = squeeze(obs_shape), squeeze(action_shape) if head_hidden_size is None: head_hidden_size = encoder_hidden_size_list[-1] # FC Encoder if isinstance(obs_shape, int) or len(obs_shape) == 1: self.encoder = FCEncoder(obs_shape, encoder_hidden_size_list, activation=activation, norm_type=norm_type) # Conv Encoder elif len(obs_shape) == 3: self.encoder = ConvEncoder(obs_shape, encoder_hidden_size_list, activation=activation, norm_type=norm_type) else: raise RuntimeError( "not support obs_shape for pre-defined encoder: {}, please customize your own IQN".format(obs_shape) ) # Head Type head_cls = QuantileHead multi_head = not isinstance(action_shape, int) if multi_head: self.head = MultiHead( head_cls, head_hidden_size, action_shape, layer_num=head_layer_num, num_quantiles=num_quantiles, quantile_embedding_size=quantile_embedding_size, activation=activation, norm_type=norm_type ) else: self.head = head_cls( head_hidden_size, action_shape, head_layer_num, activation=activation, norm_type=norm_type, num_quantiles=num_quantiles, quantile_embedding_size=quantile_embedding_size, ) def forward(self, x: torch.Tensor) -> Dict: r""" Overview: Use encoded embedding tensor to predict IQN's output. Parameter updates with IQN's MLPs forward setup. Arguments: - x (:obj:`torch.Tensor`): The encoded embedding tensor with ``(B, N=hidden_size)``. Returns: - outputs (:obj:`Dict`): Run with encoder and head. Return the result prediction dictionary. ReturnsKeys: - logit (:obj:`torch.Tensor`): Logit tensor with same size as input ``x``. - q (:obj:`torch.Tensor`): Q valye tensor tensor of size ``(num_quantiles, N, B)`` - quantiles (:obj:`torch.Tensor`): quantiles tensor of size ``(quantile_embedding_size, 1)`` Shapes: - x (:obj:`torch.Tensor`): :math:`(B, N)`, where B is batch size and N is head_hidden_size. - logit (:obj:`torch.FloatTensor`): :math:`(B, M)`, where M is action_shape - quantiles (:obj:`torch.Tensor`): :math:`(P, 1)`, where P is quantile_embedding_size. Examples: >>> model = IQN(64, 64) # arguments: 'obs_shape' and 'action_shape' >>> inputs = torch.randn(4, 64) >>> outputs = model(inputs) >>> assert isinstance(outputs, dict) >>> assert outputs['logit'].shape == torch.Size([4, 64]) >>> # default num_quantiles: int = 32 >>> assert outputs['q'].shape == torch.Size([32, 4, 64] >>> # default quantile_embedding_size: int = 128 >>> assert outputs['quantiles'].shape == torch.Size([128, 1]) """ x = self.encoder(x) x = self.head(x) return x @MODEL_REGISTRY.register('rainbowdqn') class RainbowDQN(nn.Module): """ Overview: RainbowDQN network (C51 + Dueling + Noisy Block) .. note:: RainbowDQN contains dueling architecture by default """ def __init__( self, obs_shape: Union[int, SequenceType], action_shape: Union[int, SequenceType], encoder_hidden_size_list: SequenceType = [128, 128, 64], head_hidden_size: Optional[int] = None, head_layer_num: int = 1, activation: Optional[nn.Module] = nn.ReLU(), norm_type: Optional[str] = None, v_min: Optional[float] = -10, v_max: Optional[float] = 10, n_atom: Optional[int] = 51, ) -> None: """ Overview: Init the Rainbow Model according to arguments. Arguments: - obs_shape (:obj:`Union[int, SequenceType]`): Observation space shape. - action_shape (:obj:`Union[int, SequenceType]`): Action space shape. - encoder_hidden_size_list (:obj:`SequenceType`): Collection of ``hidden_size`` to pass to ``Encoder`` - head_hidden_size (:obj:`Optional[int]`): The ``hidden_size`` to pass to ``Head``. - head_layer_num (:obj:`int`): The num of layers used in the network to compute Q value output - activation (:obj:`Optional[nn.Module]`): The type of activation function to use in ``MLP`` the after \ ``layer_fn``, if ``None`` then default set to ``nn.ReLU()`` - norm_type (:obj:`Optional[str]`): The type of normalization to use, see ``ding.torch_utils.fc_block`` \ for more details` - n_atom (:obj:`Optional[int]`): Number of atoms in the prediction distribution. """ super(RainbowDQN, self).__init__() # For compatibility: 1, (1, ), [4, 32, 32] obs_shape, action_shape = squeeze(obs_shape), squeeze(action_shape) if head_hidden_size is None: head_hidden_size = encoder_hidden_size_list[-1] # FC Encoder if isinstance(obs_shape, int) or len(obs_shape) == 1: self.encoder = FCEncoder(obs_shape, encoder_hidden_size_list, activation=activation, norm_type=norm_type) # Conv Encoder elif len(obs_shape) == 3: self.encoder = ConvEncoder(obs_shape, encoder_hidden_size_list, activation=activation, norm_type=norm_type) else: raise RuntimeError( "not support obs_shape for pre-defined encoder: {}, please customize your own RainbowDQN". format(obs_shape) ) # Head Type multi_head = not isinstance(action_shape, int) if multi_head: self.head = MultiHead( RainbowHead, head_hidden_size, action_shape, layer_num=head_layer_num, activation=activation, norm_type=norm_type, n_atom=n_atom, v_min=v_min, v_max=v_max, ) else: self.head = RainbowHead( head_hidden_size, action_shape, head_layer_num, activation=activation, norm_type=norm_type, n_atom=n_atom, v_min=v_min, v_max=v_max, ) def forward(self, x: torch.Tensor) -> Dict: r""" Overview: Use observation tensor to predict Rainbow output. Parameter updates with Rainbow's MLPs forward setup. Arguments: - x (:obj:`torch.Tensor`): The encoded embedding tensor with ``(B, N=hidden_size)``. Returns: - outputs (:obj:`Dict`): Run ``MLP`` with ``RainbowHead`` setups and return the result prediction dictionary. ReturnsKeys: - logit (:obj:`torch.Tensor`): Logit tensor with same size as input ``x``. - distribution (:obj:`torch.Tensor`): Distribution tensor of size ``(B, N, n_atom)`` Shapes: - x (:obj:`torch.Tensor`): :math:`(B, N)`, where B is batch size and N is head_hidden_size. - logit (:obj:`torch.FloatTensor`): :math:`(B, M)`, where M is action_shape. - distribution(:obj:`torch.FloatTensor`): :math:`(B, M, P)`, where P is n_atom. Examples: >>> model = RainbowDQN(64, 64) # arguments: 'obs_shape' and 'action_shape' >>> inputs = torch.randn(4, 64) >>> outputs = model(inputs) >>> assert isinstance(outputs, dict) >>> assert outputs['logit'].shape == torch.Size([4, 64]) >>> # default n_atom: int =51 >>> assert outputs['distribution'].shape == torch.Size([4, 64, 51]) """ x = self.encoder(x) x = self.head(x) return x def parallel_wrapper(forward_fn: Callable) -> Callable: r""" Overview: Process timestep T and batch_size B at the same time, in other words, treat different timestep data as different trajectories in a batch. Arguments: - forward_fn (:obj:`Callable`): Normal ``nn.Module`` 's forward function. Returns: - wrapper (:obj:`Callable`): Wrapped function. """ def wrapper(x: torch.Tensor) -> Union[torch.Tensor, List[torch.Tensor]]: T, B = x.shape[:2] def reshape(d): if isinstance(d, list): d = [reshape(t) for t in d] elif isinstance(d, dict): d = {k: reshape(v) for k, v in d.items()} else: d = d.reshape(T, B, *d.shape[1:]) return d x = x.reshape(T * B, *x.shape[2:]) x = forward_fn(x) x = reshape(x) return x return wrapper @MODEL_REGISTRY.register('drqn') class DRQN(nn.Module): """ Overview: DQN + RNN = DRQN """ def __init__( self, obs_shape: Union[int, SequenceType], action_shape: Union[int, SequenceType], encoder_hidden_size_list: SequenceType = [128, 128, 64], dueling: bool = True, head_hidden_size: Optional[int] = None, head_layer_num: int = 1, lstm_type: Optional[str] = 'normal', activation: Optional[nn.Module] = nn.ReLU(), norm_type: Optional[str] = None ) -> None: r""" Overview: Init the DRQN Model according to arguments. Arguments: - obs_shape (:obj:`Union[int, SequenceType]`): Observation's space. - action_shape (:obj:`Union[int, SequenceType]`): Action's space. - encoder_hidden_size_list (:obj:`SequenceType`): Collection of ``hidden_size`` to pass to ``Encoder`` - head_hidden_size (:obj:`Optional[int]`): The ``hidden_size`` to pass to ``Head``. - lstm_type (:obj:`Optional[str]`): Version of rnn cell, now support ['normal', 'pytorch', 'hpc', 'gru'] - activation (:obj:`Optional[nn.Module]`): The type of activation function to use in ``MLP`` the after ``layer_fn``, if ``None`` then default set to ``nn.ReLU()`` - norm_type (:obj:`Optional[str]`): The type of normalization to use, see ``ding.torch_utils.fc_block`` for more details` """ super(DRQN, self).__init__() # For compatibility: 1, (1, ), [4, 32, 32] obs_shape, action_shape = squeeze(obs_shape), squeeze(action_shape) if head_hidden_size is None: head_hidden_size = encoder_hidden_size_list[-1] # FC Encoder if isinstance(obs_shape, int) or len(obs_shape) == 1: self.encoder = FCEncoder(obs_shape, encoder_hidden_size_list, activation=activation, norm_type=norm_type) # Conv Encoder elif len(obs_shape) == 3: self.encoder = ConvEncoder(obs_shape, encoder_hidden_size_list, activation=activation, norm_type=norm_type) else: raise RuntimeError( "not support obs_shape for pre-defined encoder: {}, please customize your own DRQN".format(obs_shape) ) # LSTM Type self.rnn = get_lstm(lstm_type, input_size=head_hidden_size, hidden_size=head_hidden_size) # Head Type if dueling: head_cls = DuelingHead else: head_cls = DiscreteHead multi_head = not isinstance(action_shape, int) if multi_head: self.head = MultiHead( head_cls, head_hidden_size, action_shape, layer_num=head_layer_num, activation=activation, norm_type=norm_type ) else: self.head = head_cls( head_hidden_size, action_shape, head_layer_num, activation=activation, norm_type=norm_type ) def forward(self, inputs: Dict, inference: bool = False) -> Dict: r""" Overview: Use observation tensor to predict DRQN output. Parameter updates with DRQN's MLPs forward setup. Arguments: - inputs (:obj:`Dict`): ArgumentsKeys: - obs (:obj:`torch.Tensor`): Encoded observation - prev_state (:obj:`list`): Previous state's tensor of size ``(B, N)`` Returns: - outputs (:obj:`Dict`): Run ``MLP`` with ``DRQN`` setups and return the result prediction dictionary. ReturnsKeys: - logit (:obj:`torch.Tensor`): Logit tensor with same size as input ``obs``. - next_state (:obj:`list`): Next state's tensor of size ``(B, N)`` Shapes: - obs (:obj:`torch.Tensor`): :math:`(B, N=obs_space)`, where B is batch size. - prev_state(:obj:`torch.FloatTensor list`): :math:`[(B, N)]` - logit (:obj:`torch.FloatTensor`): :math:`(B, N)` - next_state(:obj:`torch.FloatTensor list`): :math:`[(B, N)]` Examples: >>> # Init input's Keys: >>> prev_state = [[torch.randn(1, 1, 64) for __ in range(2)] for _ in range(4)] # B=4 >>> obs = torch.randn(4,64) >>> model = DRQN(64, 64) # arguments: 'obs_shape' and 'action_shape' >>> outputs = model({'obs': inputs, 'prev_state': prev_state}, inference=True) >>> # Check outputs's Keys >>> assert isinstance(outputs, dict) >>> assert outputs['logit'].shape == (4, 64) >>> assert len(outputs['next_state']) == 4 >>> assert all([len(t) == 2 for t in outputs['next_state']]) >>> assert all([t[0].shape == (1, 1, 64) for t in outputs['next_state']]) """ x, prev_state = inputs['obs'], inputs['prev_state'] if inference: x = self.encoder(x) x = x.unsqueeze(0) x, next_state = self.rnn(x, prev_state) x = x.squeeze(0) x = self.head(x) x['next_state'] = next_state return x else: assert len(x.shape) in [3, 5], x.shape x = parallel_wrapper(self.encoder)(x) lstm_embedding = [] # TODO(nyz) how to deal with hidden_size key-value hidden_state_list = [] for t in range(x.shape[0]): # T timesteps output, prev_state = self.rnn(x[t:t + 1], prev_state) lstm_embedding.append(output) hidden_state = list(zip(*prev_state)) hidden_state_list.append(torch.cat(hidden_state[0], dim=1)) x = torch.cat(lstm_embedding, 0) x = parallel_wrapper(self.head)(x) x['next_state'] = prev_state x['hidden_state'] = torch.cat(hidden_state_list, dim=-3) return x class GeneralQNetwork(nn.Module): pass

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7

22b4a3d1659296fdfa53a5621c793b2417067bcc

11,228

py

Python

django_recurly/tests/models.py

sprintly/django-recurly

9df1a860f8e25619df5cb4bc012d83804bd62749

[ "BSD-3-Clause" ]

1

2016-06-26T23:04:29.000Z

django_recurly/tests/models.py

sprintly/django-recurly

9df1a860f8e25619df5cb4bc012d83804bd62749

[ "BSD-3-Clause" ]

null

django_recurly/tests/models.py

sprintly/django-recurly

9df1a860f8e25619df5cb4bc012d83804bd62749

[ "BSD-3-Clause" ]

1

2017-09-29T09:21:42.000Z

import unittest import datetime from django.test import TestCase from django_recurly.tests.base import BaseTest from django_recurly.models import * from mock import patch, Mock class AccountModelTest(BaseTest): def test_handle_notification_creating(self): data = self.parse_xml(self.push_notifications["new_subscription_notification-ok"]) account, subscription = Account.handle_notification(data) self.assertEqual(Account.objects.count(), 1) self.assertEqual(Subscription.objects.count(), 1) # Lets be thorough here self.assertEqual(account.user.username, "verena") self.assertEqual(account.first_name, "Verena") self.assertEqual(account.company_name, "Company, Inc.") self.assertEqual(account.email, "verena@test.com") self.assertEqual(account.account_code, "verena@test.com") subscription = account.get_current_subscription() self.assertEqual(subscription.plan_code, "bronze") self.assertEqual(subscription.plan_version, 2) self.assertEqual(subscription.state, "active") self.assertEqual(subscription.quantity, 2) self.assertEqual(subscription.total_amount_in_cents, 2000) self.assertEqual(subscription.activated_at, datetime.datetime(2009, 11, 22, 21, 10, 38)) # Phew, its in UTC now :) self.assertSignal("account_opened") self.assertNoSignal("account_closed") def test_handle_notification_updating_canceled(self): data = self.parse_xml(self.push_notifications["new_subscription_notification-ok"]) Account.handle_notification(data) self.resetSignals() data = self.parse_xml(self.push_notifications["canceled_subscription_notification-ok"]) account, subscription = Account.handle_notification(data) # Lets be through here self.assertEqual(account.user.username, "verena") self.assertEqual(account.first_name, "Jane") self.assertEqual(account.last_name, "Doe") self.assertEqual(account.company_name, None) self.assertEqual(account.email, "janedoe@gmail.com") self.assertEqual(account.account_code, "verena@test.com") subscription = account.get_current_subscription() self.assertEqual(subscription.plan_code, "1dpt") self.assertEqual(subscription.plan_version, 2) self.assertEqual(subscription.state, "canceled") self.assertEqual(subscription.quantity, 1) self.assertEqual(subscription.total_amount_in_cents, 200) # Account was 'canceled', but is still technically open until is expires self.assertNoSignal("account_opened") self.assertNoSignal("account_closed") def test_handle_notification_updating_expired(self): data = self.parse_xml(self.push_notifications["new_subscription_notification-ok"]) Account.handle_notification(data) self.resetSignals() data = self.parse_xml(self.push_notifications["expired_subscription_notification-ok"]) account, subscription = Account.handle_notification(data) # Lets be through here self.assertEqual(account.user.username, "verena") self.assertEqual(account.first_name, "Jane") self.assertEqual(account.last_name, "Doe") self.assertEqual(account.company_name, None) self.assertEqual(account.email, "janedoe@gmail.com") self.assertEqual(account.account_code, "verena@test.com") subscription = account.get_current_subscription() self.assertEqual(subscription, None) subscription = account.get_subscriptions().latest() self.assertEqual(subscription.plan_code, "1dpt") self.assertEqual(subscription.plan_version, 2) self.assertEqual(subscription.state, "expired") self.assertEqual(subscription.quantity, 1) self.assertEqual(subscription.total_amount_in_cents, 200) self.assertNoSignal("account_opened") self.assertSignal("account_closed") def test_handle_notification_updating_expired_real(self): # Straight in with no prior account data = self.parse_xml(self.push_notifications["expired_subscription_notification-real"]) account, subscription = Account.handle_notification(data) # Lets be through here self.assertEqual(account.user.username, "verena") self.assertEqual(account.first_name, "Adam") self.assertEqual(account.last_name, "Charnock") self.assertEqual(account.company_name, None) self.assertEqual(account.email, "adam@continuous.io") self.assertEqual(account.account_code, "vKWanguTh5KcZniN0yZeFbjD8xmFfVGT") subscription = account.get_current_subscription() self.assertEqual(subscription, None) subscription = account.get_subscriptions().latest() self.assertEqual(subscription.plan_code, "micro") self.assertEqual(subscription.plan_version, 1) self.assertEqual(subscription.state, "expired") self.assertEqual(subscription.quantity, 1) self.assertEqual(subscription.total_amount_in_cents, 700) self.assertEqual(subscription.activated_at, datetime.datetime(2011, 9, 14, 19, 14, 14)) # The subscription was created as 'expired' right away, so no signals self.assertNoSignal("account_opened") self.assertNoSignal("account_closed") def test_handle_notification_new_after_expired(self): data = self.parse_xml(self.push_notifications["new_subscription_notification-ok"]) Account.handle_notification(data) data = self.parse_xml(self.push_notifications["expired_subscription_notification-ok"]) Account.handle_notification(data) self.resetSignals() data = self.parse_xml(self.push_notifications["new_subscription_notification-ok"]) Account.handle_notification(data) self.assertEqual(Account.objects.count(), 1) # We should now have the old expired subscription, plus the fresh new one self.assertEqual(Subscription.objects.count(), 2) self.assertEqual(Subscription.objects.latest().state, "active") self.assertSignal("account_opened") self.assertNoSignal("account_closed") def test_get_current(self): from django_recurly.utils import recurly recurly.Account.get = Mock(return_value=recurly.Account.from_element(self.resources["account-ok"])) recurly.Subscription.get = Mock(return_value=recurly.Subscription.from_element(self.resources["subscription-ok"])) data = self.parse_xml(self.push_notifications["new_subscription_notification-ok"]) account, subscription = Account.handle_notification(**data) print(account, subscription) self.assertEqual(account.user.username, "verena") class SubscriptionModelTest(BaseTest): def test_is_current(self): data = self.parse_xml(self.push_notifications["new_subscription_notification-ok"]) account, subscription = Account.handle_notification(data) self.assertTrue(Subscription.objects.latest().is_current()) data = self.parse_xml(self.push_notifications["expired_subscription_notification-ok"]) account, subscription = Account.handle_notification(data) self.assertFalse(Subscription.objects.latest().is_current()) def test_is_trial(self): data = self.parse_xml(self.push_notifications["new_subscription_notification-ok"]) account, subscription = Account.handle_notification(data) self.assertFalse(subscription.is_trial()) subscription.trial_ends_at = datetime.datetime.now() + datetime.timedelta(days=1) subscription.save() self.assertTrue(subscription.is_trial()) class PaymentModelTest(BaseTest): def test_handle_payment_successful(self): data = self.parse_xml(self.push_notifications["new_subscription_notification-ok"]) account, subscription = Account.handle_notification(data) data = self.parse_xml(self.push_notifications["successful_payment_notification-ok"]) payment = Payment.handle_notification(data) self.assertEqual(Payment.objects.count(), 1) payment = Payment.objects.all().latest() self.assertEqual(payment.transaction_id, "a5143c1d3a6f4a8287d0e2cc1d4c0427") self.assertEqual(payment.invoice_id, "ffc64d71d4b5404e93f13aac9c63bxxx") self.assertEqual(payment.action, "purchase") self.assertEqual(payment.date, datetime.datetime(2009, 11, 22, 21, 10, 38)) self.assertEqual(payment.amount_in_cents, 1000) self.assertEqual(payment.status, "success") self.assertEqual(payment.message, "Bogus Gateway: Forced success") def test_handle_refund(self): data = self.parse_xml(self.push_notifications["new_subscription_notification-ok"]) account, subscription = Account.handle_notification(data) data = self.parse_xml(self.push_notifications["successful_refund_notification-ok"]) payment = Payment.handle_notification(data) self.assertEqual(Payment.objects.count(), 1) payment = Payment.objects.all().latest() self.assertEqual(payment.transaction_id, "2c7a2e30547e49869efd4e8a44b2be34") self.assertEqual(payment.invoice_id, "ffc64d71d4b5404e93f13aac9c63b007") self.assertEqual(payment.action, "credit") self.assertEqual(payment.amount_in_cents, 235) self.assertEqual(payment.status, "success") self.assertEqual(payment.message, "Bogus Gateway: Forced success") def test_handle_void(self): data = self.parse_xml(self.push_notifications["new_subscription_notification-ok"]) account, subscription = Account.handle_notification(data) data = self.parse_xml(self.push_notifications["void_payment_notification-ok"]) payment = Payment.handle_notification(data) self.assertEqual(Payment.objects.count(), 1) payment = Payment.objects.all().latest() self.assertEqual(payment.transaction_id, "4997ace0f57341adb3e857f9f7d15de8") self.assertEqual(payment.invoice_id, "ffc64d71d4b5404e93f13aac9c63b007") self.assertEqual(payment.action, "purchase") self.assertEqual(payment.amount_in_cents, 235) self.assertEqual(payment.status, "void") self.assertEqual(payment.message, "Test Gateway: Successful test transaction") def test_handle_failed(self): data = self.parse_xml(self.push_notifications["new_subscription_notification-ok"]) account, subscription = Account.handle_notification(data) data = self.parse_xml(self.push_notifications["failed_payment_notification-ok"]) payment = Payment.handle_notification(data) self.assertEqual(Payment.objects.count(), 1) payment = Payment.objects.all().latest() self.assertEqual(payment.transaction_id, "a5143c1d3a6f4a8287d0e2cc1d4c0427") self.assertEqual(payment.invoice_id, None) self.assertEqual(payment.action, "purchase") self.assertEqual(payment.amount_in_cents, 1000) self.assertEqual(payment.status, "declined") self.assertEqual(payment.message, "This transaction has been declined")

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fe1e3536a8d90e753527db601901f762e05f6bfb

5,245

py

Python

ksteta3pi/Consideredbkg/MC_12_11134011_MagDown.py

Williams224/davinci-scripts

730642d2ff13543eca4073a4ce0932631195de56

[ "MIT" ]

null

ksteta3pi/Consideredbkg/MC_12_11134011_MagDown.py

Williams224/davinci-scripts

730642d2ff13543eca4073a4ce0932631195de56

[ "MIT" ]

null

ksteta3pi/Consideredbkg/MC_12_11134011_MagDown.py

Williams224/davinci-scripts

730642d2ff13543eca4073a4ce0932631195de56

[ "MIT" ]

null

#-- GAUDI jobOptions generated on Mon Jul 20 10:20:06 2015 #-- Contains event types : #-- 11134011 - 46 files - 987788 events - 276.67 GBytes #-- Extra information about the data processing phases: #-- Processing Pass Step-125836 #-- StepId : 125836 #-- StepName : Stripping20-NoPrescalingFlagged for Sim08 - Implicit merging. #-- ApplicationName : DaVinci #-- ApplicationVersion : v32r2p1 #-- OptionFiles : $APPCONFIGOPTS/DaVinci/DV-Stripping20-Stripping-MC-NoPrescaling.py;$APPCONFIGOPTS/DaVinci/DataType-2012.py;$APPCONFIGOPTS/DaVinci/InputType-DST.py;$APPCONFIGOPTS/Persistency/Compression-ZLIB-1.py #-- DDDB : fromPreviousStep #-- CONDDB : fromPreviousStep #-- ExtraPackages : AppConfig.v3r164 #-- Visible : Y #-- Processing Pass Step-127969 #-- StepId : 127969 #-- StepName : Reco14c for MC - 2012 #-- ApplicationName : Brunel #-- ApplicationVersion : v43r2p11 #-- OptionFiles : $APPCONFIGOPTS/Brunel/DataType-2012.py;$APPCONFIGOPTS/Brunel/MC-WithTruth.py;$APPCONFIGOPTS/Persistency/DST-multipleTCK-2012.py;$APPCONFIGOPTS/Persistency/Compression-ZLIB-1.py #-- DDDB : fromPreviousStep #-- CONDDB : fromPreviousStep #-- ExtraPackages : AppConfig.v3r218 #-- Visible : Y from Gaudi.Configuration import * from GaudiConf import IOHelper IOHelper('ROOT').inputFiles(['LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00046299/0000/00046299_00000001_2.AllStreams.dst', 'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00046299/0000/00046299_00000002_2.AllStreams.dst', 'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00046299/0000/00046299_00000003_2.AllStreams.dst', 'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00046299/0000/00046299_00000004_2.AllStreams.dst', 'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00046299/0000/00046299_00000005_2.AllStreams.dst', 'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00046299/0000/00046299_00000006_2.AllStreams.dst', 'LFN:/lhcb/MC/2012/ALLSTREAMS.DST/00046299/0000/00046299_00000007_2.AllStreams.dst', 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a3b6339a5b40f09cc1437ffacc72d616a3e2a23b

25,384

py

Python

archive/alon_base/summary_stats_plots.py

ngglasgow/biophys_glm_show

6554fa395974d95ba78fd5cbe2cf0272e7d69df4

[ "MIT" ]

1

2022-03-11T12:47:19.000Z

archive/alon_base/summary_stats_plots.py

ngglasgow/biophys_glm_show

6554fa395974d95ba78fd5cbe2cf0272e7d69df4

[ "MIT" ]

null

archive/alon_base/summary_stats_plots.py

ngglasgow/biophys_glm_show

6554fa395974d95ba78fd5cbe2cf0272e7d69df4

[ "MIT" ]

null

# -*- coding: utf-8 -*- import os import numpy as np from neo.core import SpikeTrain, AnalogSignal import quantities as pq import pandas as pd import elephant import scipy import seaborn as sns import matplotlib.pyplot as plt from matplotlib.ticker import MultipleLocator import sklearn sns.set() % matplotlib inline # set system type as macOS or linux; set project directory; set downstream dirs # set all these directory variables first home_dir = os.path.expanduser("~") project_dir = home_dir + '/ngglasgow@gmail.com/Data_Urban/NEURON/AlmogAndKorngreen2014/par_ModCell_5_thrdsafe/' data_dir = project_dir + 'scaled_wns_400_8015_output/' figure_dir = project_dir + 'analysis/figures/' table_dir = project_dir + 'analysis/tables/' noise_dir = project_dir + 'scaled_wns_400/' noise_filename = noise_dir + 'wns_8015_forscaled.txt' downsample_dir = project_dir + 'alon_scaled_8015_downsampled/' ordered_channels = ['iA', 'iH', 'sk', 'cah', 'car', 'bk', 'kslow', 'na'] '''################ Plot Spiketrain Stats on One plot with #################''' # open the spiketrain statistics file if not already open stats_df = pd.read_csv(table_dir + 'scaled_spiketrain_stats.csv') sta_features = pd.read_csv(table_dir + 'sta_features_index.csv') # quick fix for making 0 Hz a nan list0 = stats_df.index[stats_df['Firing Rate (Hz)'] == 0.0].tolist() for item in list0: stats_df['Firing Rate (Hz)'].iloc[item] = np.nan stats_df # settings for x and y axis minor ticks, the number stands for delta tick x_minor = MultipleLocator(0.5) # set the seaborn background style and generate plots sns.set_style('ticks') dark2 = [u'#1b9e77', u'#d95f02', u'#7570b3', u'#e7298a', u'#66a61e', u'#e6ab02', u'#a6761d', u'#666666'] # make a subplot fig with 3 rows 2 cols 8"x8" with autosizing stat_list = ['Firing Rate (Hz)', 'CV ISI', 'Correlation'] feature_list = ['Positive Peak (pA)', 'Pos. Peak Time (ms)', 'Negative Peak (pA)', 'Neg. Peak Time (ms)'] important_channels = ['iA', 'iH', 'cah', 'sk'] na_k_channels = ['na', 'kslow', 'bk', 'car'] # create figure for all four stats, two channel types, then sta features fig, axs = plt.subplots(3, 2, figsize=(5, 5.5), constrained_layout=True) # add modulatory channel row for spiketrain stats for row, stat in zip(range(3), stat_list): stat_set = stats_df.loc[:, ['Channel', 'Scale', stat]] for channel, i in zip(important_channels, range(4)): channel_stats = stat_set[stat_set['Channel'] == channel] scale = channel_stats['Scale'] axs[row, 0].plot(scale, channel_stats[stat], label=channel, marker='o', color=dark2[i]) axs[row, 0].set_xticks([0, 1, 2]) axs[row, 0].set_xlim(-0.2, 2.2) axs[row, 0].xaxis.set_minor_locator(x_minor) axs[row, 0].spines['right'].set_visible(False) axs[row, 0].spines['top'].set_visible(False) axs[row, 0].set_ylabel(stat) # add non mod channels for row, stat in zip(range(3), stat_list): stat_set = stats_df.loc[:, ['Channel', 'Scale', stat]] for channel, i in zip(na_k_channels, range(4)): channel_stats = stat_set[stat_set['Channel'] == channel] scale = channel_stats['Scale'] axs[row, 1].plot(scale, channel_stats[stat], label=channel, marker='o', color=dark2[i+3]) axs[row, 1].set_xticks([0, 1, 2]) axs[row, 1].set_xlim(-0.2, 2.2) axs[row, 1].xaxis.set_minor_locator(x_minor) axs[row, 1].spines['right'].set_visible(False) axs[row, 1].spines['top'].set_visible(False) # set x-labels axs[2, 1].set_xlabel('Scaling Factor') axs[2, 0].set_xlabel('Scaling Factor') fig # set yscales and minor ticks for each row and col fr_yscale = (-5, 100) cv_yscale = (-0.05, 1.4) corr_yscale = (0.08, 0.4) y_scale_list = [fr_yscale, cv_yscale, corr_yscale] fr_yminor = MultipleLocator(25) cv_yminor = MultipleLocator() corr_yminor = MultipleLocator(0.05) yminor_list = [fr_yminor, cv_yminor, corr_yminor] for row in range(3): for col in range(2): axs[row, col].set_ylim(y_scale_list[row]) axs[row, col].yaxis.set_minor_locator(yminor_list[row]) fig # save fig to file fig.savefig(figure_dir + 'stats_summary_vertical55.png', dpi=300, format='png') '''################ Plot Spiketrain Stats on One plot horizontally #################''' # open the spiketrain statistics file if not already open stats_df = pd.read_csv(table_dir + 'scaled_spiketrain_stats.csv') sta_features = pd.read_csv(table_dir + 'sta_features_index.csv') # quick fix for making 0 Hz a nan list0 = stats_df.index[stats_df['Firing Rate (Hz)'] == 0.0].tolist() for item in list0: stats_df['Firing Rate (Hz)'].iloc[item] = np.nan stats_df # settings for x and y axis minor ticks, the number stands for delta tick x_minor = MultipleLocator(0.5) # set the seaborn background style and generate plots sns.set_style('ticks') dark2 = [u'#1b9e77', u'#d95f02', u'#7570b3', u'#e7298a', u'#66a61e', u'#e6ab02', u'#a6761d', u'#666666'] # make a subplot fig with 3 rows 2 cols 8"x8" with autosizing stat_list = ['Firing Rate (Hz)', 'CV ISI', 'Correlation'] feature_list = ['Positive Peak (pA)', 'Pos. Peak Time (ms)', 'Negative Peak (pA)', 'Neg. Peak Time (ms)'] important_channels = ['iA', 'iH', 'cah', 'sk'] na_k_channels = ['na', 'kslow', 'bk', 'car'] # create figure for all four stats, two channel types, then sta features fig, axs = plt.subplots(1, 6, figsize=(16.5, 1.75), constrained_layout=True) # add modulatory channel row for spiketrain stats for col, stat in zip(np.arange(0, 6, 2), stat_list): stat_set = stats_df.loc[:, ['Channel', 'Scale', stat]] for channel, i in zip(important_channels, range(3)): channel_stats = stat_set[stat_set['Channel'] == channel] scale = channel_stats['Scale'] axs[col].plot(scale, channel_stats[stat], label=channel, marker='o', color=dark2[i]) axs[col].set_xticks([0, 1, 2, 3]) axs[col].set_xlim(-0.2, 3.2) axs[col].xaxis.set_minor_locator(x_minor) axs[col].spines['right'].set_visible(False) axs[col].spines['top'].set_visible(False) axs[col].set_xlabel('Scaling Factor') axs[col].set_ylabel(stat) # add non mod channels for col, stat in zip(np.arange(1, 6, 2), stat_list): stat_set = stats_df.loc[:, ['Channel', 'Scale', stat]] for channel, i in zip(na_k_channels, range(3)): channel_stats = stat_set[stat_set['Channel'] == channel] scale = channel_stats['Scale'] axs[col].plot(scale, channel_stats[stat], label=channel, marker='o', color=dark2[i+3]) axs[col].set_xticks([0, 1, 2, 3]) axs[col].set_xlim(-0.2, 3.2) axs[col].xaxis.set_minor_locator(x_minor) axs[col].spines['right'].set_visible(False) axs[col].spines['top'].set_visible(False) axs[col].set_xlabel('Scaling Factor') # axs[col].set_ylabel(stat) fig # set yscales and minor ticks for each row and col fr_yscale = (20, 70) cv_yscale = (0.10, 0.4) corr_yscale = (0.08, 0.26) y_scale_list = [fr_yscale, cv_yscale, corr_yscale] fr_yminor = MultipleLocator(10) cv_yminor = MultipleLocator(0.1) corr_yminor = MultipleLocator(0.05) yminor_list = [fr_yminor, cv_yminor, corr_yminor] col_list = [[0, 1], [2, 3], [4, 5]] for cols, i in zip(col_list, range(3)): for col in cols: axs[col].set_ylim(y_scale_list[i]) axs[col].yaxis.set_minor_locator(yminor_list[i]) fig # save fig to file fig.savefig(figure_dir + 'stats_summary_labels_horiz.png', dpi=300, format='png') '''######################## STA correlations ###############################''' sta_mean = pd.read_csv(table_dir + 'sta_mean.csv').T sta_mean.T stas = sta_mean.iloc[3:-50] * 1000 stas = stas.astype(float) sta_mean sta_corr = stas.corr() sns_plot = sns.heatmap(sta_corr, vmin=0.5, cmap='inferno', xticklabels=10, yticklabels=10, square=True, robust=True, linecolor='w') fig = sns_plot.get_figure() fig.savefig(figure_dir + 'sta_correlations.png', dpi=300, format='png') '''############### STA Features vs. Channel Conductance ####################''' sta_features = pd.read_csv(table_dir + 'sta_features_index.csv') dark2 = [u'#1b9e77', u'#d95f02', u'#7570b3', u'#e7298a', u'#66a61e', u'#e6ab02', u'#a6761d', u'#666666'] sns.set_style('ticks') feature_list = ['Positive Peak (pA)', 'Negative Peak (pA)', 'Max Slope (pA/ms)', 'Integration Time (ms)'] important_channels = ['iA', 'iH'] na_k_channels = ['na', 'kslow', 'bk', 'car'] # put into a single figure x_minor = MultipleLocator(0.5) y_minor = MultipleLocator(10) gs_kw = dict(height_ratios=[1, 1, 1.5]) fig, axs = plt.subplots(3, 2, figsize=(6, 5.5), constrained_layout=True, gridspec_kw=gs_kw) for ax, feature in zip(axs.flat, feature_list): feature_set = sta_features.loc[:, ['Channel', 'Scale', feature]] for channel, i in zip(important_channels, range(4)): channel_feature = feature_set[feature_set['Channel'] == channel] scale = channel_feature['Scale'] ax.plot(scale, channel_feature[feature], label=channel, marker='o', color=dark2[i]) ax.set_xlim(-0.2, 2.2) ax.xaxis.set_minor_locator(x_minor) # ax.set_ylabel(feature) # ax.set_ylim(-25, 55) # ax.yaxis.set_minor_locator(y_minor) ax.spines["right"].set_visible(False) # if I want cleaner look w/out ax.spines["top"].set_visible(False) # top and right axes lines # set bottom x labels axs[1, 0].set_xlabel('Scaling Factor') axs[1, 1].set_xlabel('Scaling Factor') axs[0, 0].set_ylabel('Pos. Peak (pA)') axs[0, 1].set_ylabel('Neg. Peak (pA)') axs[1, 0].set_ylabel('Slope (pA/ms)') axs[1, 1].set_ylabel('Int. Time (ms)') axs[1, 1].set_ylim(0, 15) # fig # set yscales and minor ticks for each row and col # axs[0, 0].set_ylim(15, 55) # axs[0, 0].yaxis.set_minor_locator(MultipleLocator(10)) # axs[0, 1].set_ylim(-25, -7.5) # axs[0, 1].yaxis.set_minor_locator(MultipleLocator(5)) #axs[1, 0].set_ylim(2, 10) # axs[1, 0].yaxis.set_minor_locator(MultipleLocator(10)) #axs[1, 1].set_ylim(0, 15) # axs[1, 1].yaxis.set_minor_locator(MultipleLocator(10)) #fig list0 = sta_features.index[sta_features['Integration Time (ms)'] > 20.0].tolist() for item in list0: sta_features['Integration Time (ms)'].iloc[item] = np.nan # add the bottom two plots for channel, i in zip(important_channels, range(4)): channel_set = sta_features[feature_set['Channel'] == channel] scale01 = channel_set['Scale'][channel_set['Scale'] == 0.50].index scale1 = channel_set['Scale'][channel_set['Scale'] == 1.00].index scale3 = channel_set['Scale'][channel_set['Scale'] == 1.50].index pos_peak = channel_set['Positive Peak (pA)'] neg_peak = channel_set['Negative Peak (pA)'] slope = channel_set['Max Slope (pA/ms)'] int_time = channel_set['Integration Time (ms)'] axs[2, 0].plot(pos_peak, slope, color=dark2[i], marker='.') axs[2, 1].plot(slope, int_time, color=dark2[i], marker='.') axs[2, 0].plot(pos_peak.loc[scale1], slope.loc[scale1], linestyle='', marker='o', markersize=8, color='k') axs[2, 1].plot(slope.loc[scale1], int_time.loc[scale1], linestyle='', marker='o', markersize=8, color='k') for channel, i in zip(important_channels, range(4)): channel_set = sta_features[feature_set['Channel'] == channel] scale01 = channel_set['Scale'][channel_set['Scale'] == 0.50].index scale1 = channel_set['Scale'][channel_set['Scale'] == 1.00].index scale3 = channel_set['Scale'][channel_set['Scale'] == 1.50].index pos_peak = channel_set['Positive Peak (pA)'] neg_peak = channel_set['Negative Peak (pA)'] slope = channel_set['Max Slope (pA/ms)'] int_time = channel_set['Integration Time (ms)'] axs[2, 0].plot(pos_peak.loc[scale01], slope.loc[scale01], linestyle='', marker=11, markersize=10, color=dark2[i], markeredgecolor='k') axs[2, 0].plot(pos_peak.loc[scale3], slope.loc[scale3], linestyle='', marker=10, markersize=10, color=dark2[i], markeredgecolor='k') axs[2, 1].plot(slope.loc[scale01], int_time.loc[scale01], linestyle='', marker=11, markersize=10, color=dark2[i], markeredgecolor='k') axs[2, 1].plot(slope.loc[scale3], int_time.loc[scale3], linestyle='', marker=10, markersize=10, color=dark2[i], markeredgecolor='k') axs[2, 0].set_xlabel('Pos. Peak (pA)') axs[2, 0].set_ylabel('Slope (pA/ms)') axs[2, 0].spines["right"].set_visible(False) # if I want cleaner look w/out axs[2, 0].spines["top"].set_visible(False) # top and right axes lines axs[2, 1].set_ylim(0, 15) axs[2, 1].set_xlabel('Slope (pA/ms)') axs[2, 1].set_ylabel('Int. Time (ms)') axs[2, 1].spines["right"].set_visible(False) # if I want cleaner look w/out axs[2, 1].spines["top"].set_visible(False) # top and right axes lines fig # save to file fig.savefig(figure_dir + 'sta_feature_summary_vertical55_2.png', dpi=300, format='png') '''############### STA Features vs. Scales Horizontal ####################''' % matplotlib inline sta_features = pd.read_csv(table_dir + 'sta_features_index.csv') feature_list = ['Positive Peak (pA)', 'Negative Peak (pA)', 'Max Slope (pA/ms)', 'Integration Time (ms)'] important_channels = ['kA', 'kca3', 'lcafixed'] na_k_channels = ['nafast', 'kslowtab', 'kfasttab'] # put into a single figure x_minor = MultipleLocator(0.5) fig, axs = plt.subplots(1, 6, figsize=(16.5, 2.25), constrained_layout=True) for ax, feature in zip(axs.flat, feature_list): feature_set = sta_features.loc[:, ['Channel', 'Scale', feature]] for channel, i in zip(important_channels, range(4)): channel_feature = feature_set[feature_set['Channel'] == channel] scale = channel_feature['Scale'] ax.plot(scale, channel_feature[feature], label=channel, marker='o', color=dark2[i]) ax.set_xlim(-0.2, 3.2) ax.xaxis.set_minor_locator(x_minor) ax.set_ylabel(feature) # ax.set_ylim(-25, 55) # ax.yaxis.set_minor_locator(y_minor) ax.spines["right"].set_visible(False) # if I want cleaner look w/out ax.spines["top"].set_visible(False) # top and right axes lines ax.set_xlabel('Scaling Factor') # set y limits axs[0].set_ylim(15, 55) axs[1].set_ylim(-25, -7.5) axs[2].set_ylim(2, 10) axs[3].set_ylim(7, 15) # add sta_feature vs. feature plots for channel, i in zip(important_channels, range(4)): channel_set = sta_features[feature_set['Channel'] == channel] scale01 = channel_set['Scale'][channel_set['Scale'] == 0.01].index scale1 = channel_set['Scale'][channel_set['Scale'] == 1.00].index scale3 = channel_set['Scale'][channel_set['Scale'] == 3.00].index pos_peak = channel_set['Positive Peak (pA)'] neg_peak = channel_set['Negative Peak (pA)'] slope = channel_set['Max Slope (pA/ms)'] int_time = channel_set['Integration Time (ms)'] axs[4].plot(pos_peak, slope, color=dark2[i], marker='.') axs[5].plot(slope, int_time, color=dark2[i], marker='.') axs[4].plot(pos_peak.loc[scale1], slope.loc[scale1], linestyle='', marker='o', markersize=8, color='k') axs[5].plot(slope.loc[scale1], int_time.loc[scale1], linestyle='', marker='o', markersize=8, color='k') for channel, i in zip(important_channels, range(4)): channel_set = sta_features[feature_set['Channel'] == channel] scale01 = channel_set['Scale'][channel_set['Scale'] == 0.01].index scale1 = channel_set['Scale'][channel_set['Scale'] == 1.00].index scale3 = channel_set['Scale'][channel_set['Scale'] == 3.00].index pos_peak = channel_set['Positive Peak (pA)'] neg_peak = channel_set['Negative Peak (pA)'] slope = channel_set['Max Slope (pA/ms)'] int_time = channel_set['Integration Time (ms)'] axs[4].plot(pos_peak.loc[scale01], slope.loc[scale01], linestyle='', marker=11, markersize=10, color=dark2[i], markeredgecolor='k') axs[4].plot(pos_peak.loc[scale3], slope.loc[scale3], linestyle='', marker=10, markersize=10, color=dark2[i], markeredgecolor='k') axs[5].plot(slope.loc[scale01], int_time.loc[scale01], linestyle='', marker=11, markersize=10, color=dark2[i], markeredgecolor='k') axs[5].plot(slope.loc[scale3], int_time.loc[scale3], linestyle='', marker=10, markersize=10, color=dark2[i], markeredgecolor='k') axs[4].set_xlabel(pos_peak.name) axs[4].set_ylabel(slope.name) axs[4].spines["right"].set_visible(False) # if I want cleaner look w/out axs[4].spines["top"].set_visible(False) # top and right axes lines axs[5].set_xlabel(slope.name) axs[5].set_ylabel(int_time.name) axs[5].spines["right"].set_visible(False) # if I want cleaner look w/out axs[5].spines["top"].set_visible(False) # top and right axes lines fig # save to file fig.savefig(figure_dir + 'sta_feature_summary_horizontal2.png', dpi=300, format='png') '''################ make channel legends for bhalla model ##################''' fig, ax = plt.subplots(1, 2, constrained_layout=True) for channel, i in zip(ordered_channels, range(8)): channel_set = sta_features['Scale'][sta_features['Channel'] == channel] ax[0].plot(channel_set, marker='o', color=dark2[i], label=channel) ax[0].legend(loc='center left', bbox_to_anchor=(1.1, 0.5)) fig fig.savefig(figure_dir + 'channel_legend.png', dpi=300, format='png') '''#################### STA Features vs. STA Features ######################''' % matplotlib sta_features = pd.read_csv(table_dir + 'sta_features_index.csv') important_channels = ['kA', 'kca3', 'lcafixed'] fig, axs = plt.subplots(2, 1, figsize=(3, 5.25), constrained_layout=True) for channel, i in zip(important_channels, range(3)): channel_set = sta_features[feature_set['Channel'] == channel] scale01 = channel_set['Scale'][channel_set['Scale'] == 0.01].index scale1 = channel_set['Scale'][channel_set['Scale'] == 1.00].index scale3 = channel_set['Scale'][channel_set['Scale'] == 3.00].index pos_peak = channel_set['Positive Peak (pA)'] neg_peak = channel_set['Negative Peak (pA)'] slope = channel_set['Max Slope (pA/ms)'] int_time = channel_set['Integration Time (ms)'] axs[0].plot(pos_peak, neg_peak, color=dark2[i]) axs[1].plot(slope, int_time, color=dark2[i]) for channel, i in zip(important_channels, range(3)): channel_set = sta_features[feature_set['Channel'] == channel] scale01 = channel_set['Scale'][channel_set['Scale'] == 0.01].index scale1 = channel_set['Scale'][channel_set['Scale'] == 1.00].index scale3 = channel_set['Scale'][channel_set['Scale'] == 3.00].index pos_peak = channel_set['Positive Peak (pA)'] neg_peak = channel_set['Negative Peak (pA)'] slope = channel_set['Max Slope (pA/ms)'] int_time = channel_set['Integration Time (ms)'] axs[0].plot(pos_peak.loc[scale01], neg_peak.loc[scale01], linestyle='', marker='^', markersize=10, color=dark2[i]) axs[0].plot(pos_peak.loc[scale1], neg_peak.loc[scale1], linestyle='', marker='o', markersize=10, color='k') axs[0].plot(pos_peak.loc[scale3], neg_peak.loc[scale3], linestyle='', marker='v', markersize=10, color=dark2[i]) axs[1].plot(slope.loc[scale01], int_time.loc[scale01], linestyle='', marker='^', markersize=10, color=dark2[i]) axs[1].plot(slope.loc[scale1], int_time.loc[scale1], linestyle='', marker='o', markersize=10, color='k') axs[1].plot(slope.loc[scale3], int_time.loc[scale3], linestyle='', marker='v', markersize=10, color=dark2[i]) axs[0].set_xlabel('Pos. Peak (pA)') axs[0].set_ylabel('Neg. Peak (pA)') axs[1].set_xlabel('Max Slope (pA/ms)') axs[1].set_ylabel('Integration Time (ms)') fig # save fig fig.savefig(figure_dir + 'posvneg_slopevint.png', dpi=300, format='png') '''#################### STA Features vs. Spike Stats ######################''' % matplotlib sta_features = pd.read_csv(table_dir + 'sta_features_index.csv') important_channels = ['kA', 'kca3', 'lcafixed'] fig, axs = plt.subplots(2, 1, figsize=(3, 5.25), constrained_layout=True) for channel, i in zip(important_channels, range(3)): channel_set = sta_features[feature_set['Channel'] == channel] scale01 = channel_set['Scale'][channel_set['Scale'] == 0.01].index scale1 = channel_set['Scale'][channel_set['Scale'] == 1.00].index scale3 = channel_set['Scale'][channel_set['Scale'] == 3.00].index pos_peak = channel_set['Positive Peak (pA)'] neg_peak = channel_set['Negative Peak (pA)'] slope = channel_set['Max Slope (pA/ms)'] int_time = channel_set['Integration Time (ms)'] axs[0].plot(pos_peak, neg_peak, color=dark2[i]) axs[1].plot(slope, int_time, color=dark2[i]) for channel, i in zip(important_channels, range(3)): channel_set = sta_features[feature_set['Channel'] == channel] scale01 = channel_set['Scale'][channel_set['Scale'] == 0.01].index scale1 = channel_set['Scale'][channel_set['Scale'] == 1.00].index scale3 = channel_set['Scale'][channel_set['Scale'] == 3.00].index pos_peak = channel_set['Positive Peak (pA)'] neg_peak = channel_set['Negative Peak (pA)'] slope = channel_set['Max Slope (pA/ms)'] int_time = channel_set['Integration Time (ms)'] axs[0].plot(pos_peak.loc[scale01], neg_peak.loc[scale01], linestyle='', marker='^', markersize=10, color=dark2[i]) axs[0].plot(pos_peak.loc[scale1], neg_peak.loc[scale1], linestyle='', marker='o', markersize=10, color='k') axs[0].plot(pos_peak.loc[scale3], neg_peak.loc[scale3], linestyle='', marker='v', markersize=10, color=dark2[i]) axs[1].plot(slope.loc[scale01], int_time.loc[scale01], linestyle='', marker='^', markersize=10, color=dark2[i]) axs[1].plot(slope.loc[scale1], int_time.loc[scale1], linestyle='', marker='o', markersize=10, color='k') axs[1].plot(slope.loc[scale3], int_time.loc[scale3], linestyle='', marker='v', markersize=10, color=dark2[i]) axs[0].set_xlabel('Pos. Peak (pA)') axs[0].set_ylabel('Neg. Peak (pA)') axs[1].set_xlabel('Max Slope (pA/ms)') axs[1].set_ylabel('Integration Time (ms)') fig # save fig fig.savefig(figure_dir + 'posvneg_slopevint.png', dpi=300, format='png') '''################ STA Features and Spike Statistics Plots ################''' # open data from files stats_df = pd.read_csv(table_dir + 'scaled_spiketrain_stats.csv') sta_features = pd.read_csv(table_dir + 'sta_features_index.csv') # merge into a single df to allow easy calling later on stats_features = pd.merge(stats_df, sta_features, on=['Channel', 'Scale']) stats_features.columns # set up lists of subsets of channels for testing important_channels = ['kA', 'kca3', 'lcafixed'] na_k_channels = ['nafast', 'kslowtab', 'kfasttab'] test = ['kA'] ''' plot 2d images with labels at 3 an 0.01''' plt.figure() for channel in important_channels: channel_set = stats_features[stats_features['Channel'] == channel] slope = channel_set['Max Slope (pA/ms)'] int_time = channel_set['Integration Time (ms)'] scale = channel_set['Scale'] plt.plot(slope, int_time, label=channel, marker='o') for label, x, y in zip(scale, slope, int_time): if label == 3.0: plt.annotate('(%s)' % label, xy=(x, y), textcoords='data') elif label == 0.01: plt.annotate('(%s)' % label, xy=(x, y), textcoords='data') plt.legend() scale for label, x, y in zip (scale, slope, int_time): if label == 3.0: print label, x, y elif label == 0.01: print label, x, y zip(scale, slope, int_time) ''' plot 2d images with different markers at 3, 1, 0.01''' ''' USe a ax.get_line[-1].get_markerfacecolor() to set the color of all markers for a given line. NOt fully tested yet but should work. ''' fig = plt.figure() ax = fig.add_subplot(111) for channel in important_channels: channel_set = stats_features[stats_features['Channel'] == channel] slope = channel_set['Max Slope (pA/ms)'] int_time = channel_set['Integration Time (ms)'] scale = channel_set['Scale'] ax.plot(slope, int_time, label=channel) # for label, x, y in zip(scale, slope, int_time): # if label == 3.0: # ax.scatter(x, y, marker='^') # elif label == 1: # ax.scatter(x, y, marker='o') # elif label == 0.01: # ax.scatter(x, y, marker='v') plt.legend() ax.get_facecolor() ax.get_lines()[2].get_markerfacecolor() sns.palplot([(0.2980392156862745, 0.4470588235294118, 0.6901960784313725), (0.3333333333333333, 0.6588235294117647, 0.40784313725490196), (0.7686274509803922, 0.3058823529411765, 0.3215686274509804)]) for feature in stats_features_list: plt.figure() for channel in important_channels: channel_set = stats_features[stats_features['Channel'] == channel] slope = channel_set['Max Slope (pA/ms)'] int_time = channel_set['Integration Time (ms)'] scale = channel_set[feature] ax.plot(slope, int_time, feat, label=channel, marker='o') ax.legend() ax.set_title(feature) ax.set_xlabel('max slope (pA/ms)') ax.set_ylabel('integration time (ms)') ax.set_zlabel(feature) ''' plot 3d images ''' from mpl_toolkits.mplot3d import Axes3D stats_features_list = ['Correlation', 'Firing Rate (Hz)', 'Fano Factor', 'CV ISI'] for feature in stats_features_list: fig = plt.figure() ax = fig.add_subplot(111, projection='3d') for channel in important_channels: channel_set = stats_features[stats_features['Channel'] == channel] slope = channel_set['Max Slope (pA/ms)'] int_time = channel_set['Integration Time (ms)'] feat = channel_set[feature] ax.plot(slope, int_time, feat, label=channel, marker='o') ax.legend() ax.set_title(feature) ax.set_xlabel('max slope (pA/ms)') ax.set_ylabel('integration time (ms)') ax.set_zlabel(feature)

43.61512

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43078476be0db6ceb750ec8efbb654cd9864421b

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Python

src/pythae/models/nn/benchmarks/mnist.py

clementchadebec/benchmark_VAE

943e231f9e5dfa40b4eec14d4536f1c229ad9be1

[ "Apache-2.0" ]

143

2021-10-17T08:43:33.000Z

2022-03-31T11:10:53.000Z

src/pythae/models/nn/benchmarks/mnist.py

louis-j-vincent/benchmark_VAE

943e231f9e5dfa40b4eec14d4536f1c229ad9be1

[ "Apache-2.0" ]

6

2022-01-21T17:40:09.000Z

2022-03-16T13:09:22.000Z

src/pythae/models/nn/benchmarks/mnist.py

louis-j-vincent/benchmark_VAE

943e231f9e5dfa40b4eec14d4536f1c229ad9be1

[ "Apache-2.0" ]

18

2021-12-16T15:17:08.000Z

2022-03-15T01:30:13.000Z

"""Proposed neural nets architectures suited for MNIST""" from typing import List import numpy as np import torch import torch.nn as nn from pythae.models.nn import BaseDecoder, BaseDiscriminator, BaseEncoder from ....models import BaseAEConfig from ....models.base.base_utils import ModelOutput from ..base_architectures import BaseDecoder, BaseEncoder class Encoder_AE_MNIST(BaseEncoder): """ A proposed Convolutional encoder Neural net suited for MNIST and Autoencoder-based models. It can be built as follows: .. code-block:: >>> from pythae.models.nn.benchmarks.mnist import Encoder_AE_MNIST >>> from pythae.models import AEConfig >>> model_config = AEConfig(input_dim=(1, 28, 28), latent_dim=16) >>> encoder = Encoder_AE_MNIST(model_config) >>> encoder ... Encoder_AE_MNIST( ... (layers): ModuleList( ... (0): Sequential( ... (0): Conv2d(1, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) ... (1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ... (2): ReLU() ... ) ... (1): Sequential( ... (0): Conv2d(128, 256, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) ... (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ... (2): ReLU() ... ) ... (2): Sequential( ... (0): Conv2d(256, 512, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) ... (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ... (2): ReLU() ... ) ... (3): Sequential( ... (0): Conv2d(512, 1024, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) ... (1): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ... (2): ReLU() ... ) ... ) ... (embedding): Linear(in_features=1024, out_features=16, bias=True) ... ) and then passed to a :class:`pythae.models` instance >>> from pythae.models import AE >>> model = AE(model_config=model_config, encoder=encoder) >>> model.encoder == encoder ... True .. note:: Please note that this encoder is only suitable for Autoencoder based models since it only outputs the embeddings of the input data under the key `embedding`. .. code-block:: >>> import torch >>> input = torch.rand(2, 1, 28, 28) >>> out = encoder(input) >>> out.embedding.shape ... torch.Size([2, 16]) """ def __init__(self, args: BaseAEConfig): BaseEncoder.__init__(self) self.input_dim = (1, 28, 28) self.latent_dim = args.latent_dim self.n_channels = 1 layers = nn.ModuleList() layers.append( nn.Sequential( nn.Conv2d(self.n_channels, 128, 4, 2, padding=1), nn.BatchNorm2d(128), nn.ReLU(), ) ) layers.append( nn.Sequential( nn.Conv2d(128, 256, 4, 2, padding=1), nn.BatchNorm2d(256), nn.ReLU() ) ) layers.append( nn.Sequential( nn.Conv2d(256, 512, 4, 2, padding=1), nn.BatchNorm2d(512), nn.ReLU() ) ) layers.append( nn.Sequential( nn.Conv2d(512, 1024, 4, 2, padding=1), nn.BatchNorm2d(1024), nn.ReLU() ) ) self.layers = layers self.depth = len(layers) self.embedding = nn.Linear(1024, args.latent_dim) def forward(self, x: torch.Tensor, output_layer_levels: List[int] = None): """Forward method Args: output_layer_levels (List[int]): The levels of the layers where the outputs are extracted. If None, the last layer's output is returned. Default: None. Returns: ModelOutput: An instance of ModelOutput containing the embeddings of the input data under the key `embedding`. Optional: The outputs of the layers specified in `output_layer_levels` arguments are available under the keys `embedding_layer_i` where i is the layer's level.""" output = ModelOutput() max_depth = self.depth if output_layer_levels is not None: assert all( self.depth >= levels > 0 or levels == -1 for levels in output_layer_levels ), ( f"Cannot output layer deeper than depth ({self.depth})." f"Got ({output_layer_levels})." ) if -1 in output_layer_levels: max_depth = self.depth else: max_depth = max(output_layer_levels) out = x for i in range(max_depth): out = self.layers[i](out) if output_layer_levels is not None: if i + 1 in output_layer_levels: output[f"embedding_layer_{i+1}"] = out if i + 1 == self.depth: output["embedding"] = self.embedding(out.reshape(x.shape[0], -1)) return output class Encoder_VAE_MNIST(BaseEncoder): """ A Convolutional encoder Neural net suited for MNIST and Variational Autoencoder-based models. It can be built as follows: .. code-block:: >>> from pythae.models.nn.benchmarks.mnist import Encoder_VAE_MNIST >>> from pythae.models import VAEConfig >>> model_config = VAEConfig(input_dim=(1, 28, 28), latent_dim=16) >>> encoder = Encoder_VAE_MNIST(model_config) >>> encoder ... Encoder_VAE_MNIST( ... (layers): ModuleList( ... (0): Sequential( ... (0): Conv2d(1, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) ... (1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ... (2): ReLU() ... ) ... (1): Sequential( ... (0): Conv2d(128, 256, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) ... (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ... (2): ReLU() ... ) ... (2): Sequential( ... (0): Conv2d(256, 512, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) ... (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ... (2): ReLU() ... ) ... (3): Sequential( ... (0): Conv2d(512, 1024, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) ... (1): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ... (2): ReLU() ... ) ... ) ... (embedding): Linear(in_features=1024, out_features=16, bias=True) ... (log_var): Linear(in_features=1024, out_features=16, bias=True) ... ) and then passed to a :class:`pythae.models` instance >>> from pythae.models import VAE >>> model = VAE(model_config=model_config, encoder=encoder) >>> model.encoder == encoder ... True .. note:: Please note that this encoder is only suitable for Variational Autoencoder based models since it outputs the embeddings and the **log** of the covariance diagonal coefficients of the input data under the key `embedding` and `log_covariance`. .. code-block:: >>> import torch >>> input = torch.rand(2, 1, 28, 28) >>> out = encoder(input) >>> out.embedding.shape ... torch.Size([2, 16]) >>> out.log_covariance.shape ... torch.Size([2, 16]) """ def __init__(self, args: BaseAEConfig): BaseEncoder.__init__(self) self.input_dim = (1, 28, 28) self.latent_dim = args.latent_dim self.n_channels = 1 layers = nn.ModuleList() layers.append( nn.Sequential( nn.Conv2d(self.n_channels, 128, 4, 2, padding=1), nn.BatchNorm2d(128), nn.ReLU(), ) ) layers.append( nn.Sequential( nn.Conv2d(128, 256, 4, 2, padding=1), nn.BatchNorm2d(256), nn.ReLU() ) ) layers.append( nn.Sequential( nn.Conv2d(256, 512, 4, 2, padding=1), nn.BatchNorm2d(512), nn.ReLU() ) ) layers.append( nn.Sequential( nn.Conv2d(512, 1024, 4, 2, padding=1), nn.BatchNorm2d(1024), nn.ReLU() ) ) self.layers = layers self.depth = len(layers) self.embedding = nn.Linear(1024, args.latent_dim) self.log_var = nn.Linear(1024, args.latent_dim) def forward(self, x: torch.Tensor, output_layer_levels: List[int] = None): """Forward method Args: output_layer_levels (List[int]): The levels of the layers where the outputs are extracted. If None, the last layer's output is returned. Default: None. Returns: ModelOutput: An instance of ModelOutput containing the embeddings of the input data under the key `embedding` and the **log** of the diagonal coefficient of the covariance matrices under the key `log_covariance`. Optional: The outputs of the layers specified in `output_layer_levels` arguments are available under the keys `embedding_layer_i` where i is the layer's level.""" output = ModelOutput() max_depth = self.depth if output_layer_levels is not None: assert all( self.depth >= levels > 0 or levels == -1 for levels in output_layer_levels ), ( f"Cannot output layer deeper than depth ({self.depth})." f"Got ({output_layer_levels})" ) if -1 in output_layer_levels: max_depth = self.depth else: max_depth = max(output_layer_levels) out = x for i in range(max_depth): out = self.layers[i](out) if output_layer_levels is not None: if i + 1 in output_layer_levels: output[f"embedding_layer_{i+1}"] = out if i + 1 == self.depth: output["embedding"] = self.embedding(out.reshape(x.shape[0], -1)) output["log_covariance"] = self.log_var(out.reshape(x.shape[0], -1)) return output class Encoder_SVAE_MNIST(BaseEncoder): """ A Convolutional encoder Neural net suited for mnist and Hyperspherical autoencoder Variational Autoencoder. It can be built as follows: .. code-block:: >>> from pythae.models.nn.benchmarks.mnist import Encoder_SVAE_MNIST >>> from pythae.models import SVAEConfig >>> model_config = SVAEConfig(input_dim=(1, 28, 28), latent_dim=16) >>> encoder = Encoder_SVAE_MNIST(model_config) >>> encoder ... Encoder_SVAE_MNIST( ... (layers): ModuleList( ... (0): Sequential( ... (0): Conv2d(1, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) ... (1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ... (2): ReLU() ... ) ... (1): Sequential( ... (0): Conv2d(128, 256, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) ... (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ... (2): ReLU() ... ) ... (2): Sequential( ... (0): Conv2d(256, 512, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) ... (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ... (2): ReLU() ... ) ... (3): Sequential( ... (0): Conv2d(512, 1024, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) ... (1): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ... (2): ReLU() ... ) ... ) ... (embedding): Linear(in_features=1024, out_features=16, bias=True) ... (log_concentration): Linear(in_features=1024, out_features=1, bias=True) ... ) and then passed to a :class:`pythae.models` instance >>> from pythae.models import SVAE >>> model = SVAE(model_config=model_config, encoder=encoder) >>> model.encoder == encoder ... True .. note:: Please note that this encoder is only suitable for Hyperspherical Variational Autoencoder models since it outputs the embeddings and the **log** of the concentration in the Von Mises Fisher distributions under the key `embedding` and `log_concentration`. .. code-block:: >>> import torch >>> input = torch.rand(2, 1, 28, 28) >>> out = encoder(input) >>> out.embedding.shape ... torch.Size([2, 16]) >>> out.log_concentration.shape ... torch.Size([2, 1]) """ def __init__(self, args: BaseAEConfig): BaseEncoder.__init__(self) self.input_dim = (1, 28, 28) self.latent_dim = args.latent_dim self.n_channels = 1 layers = nn.ModuleList() layers.append( nn.Sequential( nn.Conv2d(self.n_channels, 128, 4, 2, padding=1), nn.BatchNorm2d(128), nn.ReLU(), ) ) layers.append( nn.Sequential( nn.Conv2d(128, 256, 4, 2, padding=1), nn.BatchNorm2d(256), nn.ReLU() ) ) layers.append( nn.Sequential( nn.Conv2d(256, 512, 4, 2, padding=1), nn.BatchNorm2d(512), nn.ReLU() ) ) layers.append( nn.Sequential( nn.Conv2d(512, 1024, 4, 2, padding=1), nn.BatchNorm2d(1024), nn.ReLU() ) ) self.layers = layers self.depth = len(layers) self.embedding = nn.Linear(1024, args.latent_dim) self.log_concentration = nn.Linear(1024, 1) def forward(self, x: torch.Tensor, output_layer_levels: List[int] = None): """Forward method Args: output_layer_levels (List[int]): The levels of the layers where the outputs are extracted. If None, the last layer's output is returned. Default: None. Returns: ModelOutput: An instance of ModelOutput containing the embeddings of the input data under the key `embedding` and the **log** of the diagonal coefficient of the covariance matrices under the key `log_covariance`. Optional: The outputs of the layers specified in `output_layer_levels` arguments are available under the keys `embedding_layer_i` where i is the layer's level.""" output = ModelOutput() max_depth = self.depth if output_layer_levels is not None: assert all( self.depth >= levels > 0 or levels == -1 for levels in output_layer_levels ), ( f"Cannot output layer deeper than depth ({self.depth})." f"Got ({output_layer_levels})" ) if -1 in output_layer_levels: max_depth = self.depth else: max_depth = max(output_layer_levels) out = x for i in range(max_depth): out = self.layers[i](out) if output_layer_levels is not None: if i + 1 in output_layer_levels: output[f"embedding_layer_{i+1}"] = out if i + 1 == self.depth: output["embedding"] = self.embedding(out.reshape(x.shape[0], -1)) output["log_concentration"] = self.log_concentration( out.reshape(x.shape[0], -1) ) return output class Decoder_AE_MNIST(BaseDecoder): """ A proposed Convolutional decoder Neural net suited for MNIST and Autoencoder-based models. .. code-block:: >>> from pythae.models.nn.benchmarks.mnist import Decoder_AE_MNIST >>> from pythae.models import VAEConfig >>> model_config = VAEConfig(input_dim=(1, 28, 28), latent_dim=16) >>> decoder = Decoder_AE_MNIST(model_config) >>> decoder ... Decoder_AE_MNIST( ... (layers): ModuleList( ... (0): Linear(in_features=16, out_features=16384, bias=True) ... (1): Sequential( ... (0): ConvTranspose2d(1024, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) ... (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ... (2): ReLU() ... ) ... (2): Sequential( ... (0): ConvTranspose2d(512, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), output_padding=(1, 1)) ... (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ... (2): ReLU() ... ) ... (3): Sequential( ... (0): ConvTranspose2d(256, 1, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), output_padding=(1, 1)) ... (1): Sigmoid() ... ) ... ) ... ) and then passed to a :class:`pythae.models` instance >>> from pythae.models import VAE >>> model = VAE(model_config=model_config, decoder=decoder) >>> model.decoder == decoder ... True .. note:: Please note that this decoder is suitable for **all** models. .. code-block:: >>> import torch >>> input = torch.randn(2, 16) >>> out = decoder(input) >>> out.reconstruction.shape ... torch.Size([2, 1, 28, 28]) """ def __init__(self, args: dict): BaseDecoder.__init__(self) self.input_dim = (1, 28, 28) self.latent_dim = args.latent_dim self.n_channels = 1 layers = nn.ModuleList() layers.append(nn.Linear(args.latent_dim, 1024 * 4 * 4)) layers.append( nn.Sequential( nn.ConvTranspose2d(1024, 512, 3, 2, padding=1), nn.BatchNorm2d(512), nn.ReLU(), ) ) layers.append( nn.Sequential( nn.ConvTranspose2d(512, 256, 3, 2, padding=1, output_padding=1), nn.BatchNorm2d(256), nn.ReLU(), ) ) layers.append( nn.Sequential( nn.ConvTranspose2d( 256, self.n_channels, 3, 2, padding=1, output_padding=1 ), nn.Sigmoid(), ) ) self.layers = layers self.depth = len(layers) def forward(self, z: torch.Tensor, output_layer_levels: List[int] = None): """Forward method Args: output_layer_levels (List[int]): The levels of the layers where the outputs are extracted. If None, the last layer's output is returned. Default: None. Returns: ModelOutput: An instance of ModelOutput containing the reconstruction of the latent code under the key `reconstruction`. Optional: The outputs of the layers specified in `output_layer_levels` arguments are available under the keys `reconstruction_layer_i` where i is the layer's level. """ output = ModelOutput() max_depth = self.depth if output_layer_levels is not None: assert all( self.depth >= levels > 0 or levels == -1 for levels in output_layer_levels ), ( f"Cannot output layer deeper than depth ({self.depth})." f"Got ({output_layer_levels})" ) if -1 in output_layer_levels: max_depth = self.depth else: max_depth = max(output_layer_levels) out = z for i in range(max_depth): out = self.layers[i](out) if i == 0: out = out.reshape(z.shape[0], 1024, 4, 4) if output_layer_levels is not None: if i + 1 in output_layer_levels: output[f"reconstruction_layer_{i+1}"] = out if i + 1 == self.depth: output["reconstruction"] = out return output class Discriminator_MNIST(BaseDiscriminator): """ A Convolutional discriminator Neural net suited for MNIST. It can be built as follows: .. code-block:: >>> from pythae.models.nn.benchmarks.mnist import Discriminator_MNIST >>> from pythae.models import VAEGANConfig >>> model_config = VAEGANConfig(input_dim=(1, 28, 28), latent_dim=16) >>> discriminator = Discriminator_MNIST(model_config) >>> discriminator ... Discriminator_MNIST( ... (layers): ModuleList( ... (0): Sequential( ... (0): Conv2d(1, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) ... (1): ReLU() ... ) ... (1): Sequential( ... (0): Conv2d(128, 256, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) ... (1): Tanh() ... ) ... (2): Sequential( ... (0): Conv2d(256, 512, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) ... (1): ReLU() ... ) ... (3): Sequential( ... (0): Conv2d(512, 1024, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) ... (1): ReLU() ... ) ... (4): Sequential( ... (0): Linear(in_features=1024, out_features=1, bias=True) ... (1): Sigmoid() ... ) ... ) ... ) and then passed to a :class:`pythae.models` instance >>> from pythae.models import VAEGAN >>> model = VAEGAN(model_config=model_config, discriminator=discriminator) >>> model.discriminator == discriminator ... True """ def __init__(self, args: dict): BaseDiscriminator.__init__(self) self.input_dim = (1, 28, 28) self.latent_dim = args.latent_dim self.n_channels = 1 layers = nn.ModuleList() layers.append( nn.Sequential( nn.Conv2d(self.n_channels, 128, 4, 2, padding=1), # nn.BatchNorm2d(128), nn.ReLU(), ) ) layers.append( nn.Sequential( nn.Conv2d(128, 256, 4, 2, padding=1), # nn.BatchNorm2d(256), nn.Tanh(), ) ) layers.append( nn.Sequential( nn.Conv2d(256, 512, 4, 2, padding=1), # nn.BatchNorm2d(512), nn.ReLU(), ) ) layers.append( nn.Sequential( nn.Conv2d(512, 1024, 4, 2, padding=1), # nn.BatchNorm2d(1024), nn.ReLU(), ) ) layers.append(nn.Sequential(nn.Linear(1024, 1), nn.Sigmoid())) self.layers = layers self.depth = len(layers) def forward(self, x: torch.Tensor, output_layer_levels: List[int] = None): """Forward method Args: output_layer_levels (List[int]): The levels of the layers where the outputs are extracted. If None, the last layer's output is returned. Default: None. Returns: ModelOutput: An instance of ModelOutput containing the adversarial score of the input under the key `embedding`. Optional: The outputs of the layers specified in `output_layer_levels` arguments are available under the keys `embedding_layer_i` where i is the layer's level. """ output = ModelOutput() max_depth = self.depth if output_layer_levels is not None: assert all( self.depth >= levels > 0 or levels == -1 for levels in output_layer_levels ), ( f"Cannot output layer deeper than depth ({self.depth}). " f"Got ({output_layer_levels})." ) if -1 in output_layer_levels: max_depth = self.depth else: max_depth = max(output_layer_levels) out = x for i in range(max_depth): if i == 4: out = out.reshape(x.shape[0], -1) out = self.layers[i](out) if output_layer_levels is not None: if i + 1 in output_layer_levels: output[f"embedding_layer_{i+1}"] = out if i + 1 == self.depth: output["embedding"] = out return output

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430b4abb8d2c61955efd0f1bd666beb57d58ea84

2,078

py

Python

subseq_cracker/test.py

jindrahelcl/puzzlehunt-tools

b36bc98e1b53282f7e1177d6d82631bc33e5deb8

[ "MIT" ]

null

subseq_cracker/test.py

jindrahelcl/puzzlehunt-tools

b36bc98e1b53282f7e1177d6d82631bc33e5deb8

[ "MIT" ]

null

subseq_cracker/test.py

jindrahelcl/puzzlehunt-tools

b36bc98e1b53282f7e1177d6d82631bc33e5deb8

[ "MIT" ]

null

#!/usr/bin/env python3 from utils import * import unittest class TestSubseqDiscont(unittest.TestCase): def test_is_subseq(self): self.assertTrue(is_subseq_discont([1, 3, 5], [1, 2, 3, 4, 5])) self.assertTrue(is_subseq_discont([1], [1, 2, 3, 4, 5])) self.assertTrue(is_subseq_discont([5], [1, 2, 3, 4, 5])) self.assertTrue(is_subseq_discont([1, 5], [1, 2, 3, 4, 5])) self.assertTrue(is_subseq_discont([1, 2, 3, 4, 5], [1, 2, 3, 4, 5])) self.assertTrue(is_subseq_discont([], [1, 2, 3, 4, 5])) self.assertTrue(is_subseq_discont([], [1])) self.assertTrue(is_subseq_discont([1], [1])) self.assertTrue(is_subseq_discont([], [])) def test_is_not_subseq(self): self.assertFalse(is_subseq([1, 2, 3, 4, 5, 5], [1, 2, 3, 4, 5])) self.assertFalse(is_subseq_discont([1, 5, 4], [1, 2, 3, 4, 5])) self.assertFalse(is_subseq_discont([5, 1], [1, 2, 3, 4, 5])) self.assertFalse(is_subseq_discont([6], [1, 2, 3, 4, 5])) self.assertFalse(is_subseq_discont([1], [])) class TestSubseq(unittest.TestCase): def test_is_subseq(self): self.assertTrue(is_subseq([1], [1, 2, 3, 4, 5])) self.assertTrue(is_subseq([5], [1, 2, 3, 4, 5])) self.assertTrue(is_subseq([1, 2], [1, 2, 3, 4, 5])) self.assertTrue(is_subseq([1, 2, 3, 4, 5], [1, 2, 3, 4, 5])) self.assertTrue(is_subseq([], [1, 2, 3, 4, 5])) self.assertTrue(is_subseq([], [1])) self.assertTrue(is_subseq([1], [1])) self.assertTrue(is_subseq([], [])) def test_is_not_subseq(self): self.assertFalse(is_subseq([1, 5], [1, 2, 3, 4, 5])) self.assertFalse(is_subseq([1, 3, 5], [1, 2, 3, 4, 5])) self.assertFalse(is_subseq([1, 2, 3, 4, 5, 5], [1, 2, 3, 4, 5])) self.assertFalse(is_subseq([1, 5, 4], [1, 2, 3, 4, 5])) self.assertFalse(is_subseq([5, 1], [1, 2, 3, 4, 5])) self.assertFalse(is_subseq([6], [1, 2, 3, 4, 5])) self.assertFalse(is_subseq([1], [])) if __name__ == '__main__': unittest.main()

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0

null

1

0

1

0

null

0

1

0

8

4314dd74952b4f0020755b1d41287a061e867ff3

55,353

py

Python

sdk/python/pulumi_azure/cdn/endpoint.py

ScriptBox99/pulumi-azure

1b8c6d5479ccabc39094741eac25a8ca44c8833a

[ "ECL-2.0", "Apache-2.0" ]

109

2018-06-18T00:19:44.000Z

2022-02-20T05:32:57.000Z

sdk/python/pulumi_azure/cdn/endpoint.py

ScriptBox99/pulumi-azure

1b8c6d5479ccabc39094741eac25a8ca44c8833a

[ "ECL-2.0", "Apache-2.0" ]

663

2018-06-18T21:08:46.000Z

2022-03-31T20:10:11.000Z

sdk/python/pulumi_azure/cdn/endpoint.py

ScriptBox99/pulumi-azure

1b8c6d5479ccabc39094741eac25a8ca44c8833a

[ "ECL-2.0", "Apache-2.0" ]

41

2018-07-19T22:37:38.000Z

2022-03-14T10:56:26.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities from . import outputs from ._inputs import * __all__ = ['EndpointArgs', 'Endpoint'] @pulumi.input_type class EndpointArgs: def __init__(__self__, *, origins: pulumi.Input[Sequence[pulumi.Input['EndpointOriginArgs']]], profile_name: pulumi.Input[str], resource_group_name: pulumi.Input[str], content_types_to_compresses: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, delivery_rules: Optional[pulumi.Input[Sequence[pulumi.Input['EndpointDeliveryRuleArgs']]]] = None, geo_filters: Optional[pulumi.Input[Sequence[pulumi.Input['EndpointGeoFilterArgs']]]] = None, global_delivery_rule: Optional[pulumi.Input['EndpointGlobalDeliveryRuleArgs']] = None, is_compression_enabled: Optional[pulumi.Input[bool]] = None, is_http_allowed: Optional[pulumi.Input[bool]] = None, is_https_allowed: Optional[pulumi.Input[bool]] = None, location: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, optimization_type: Optional[pulumi.Input[str]] = None, origin_host_header: Optional[pulumi.Input[str]] = None, origin_path: Optional[pulumi.Input[str]] = None, probe_path: Optional[pulumi.Input[str]] = None, querystring_caching_behaviour: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None): """ The set of arguments for constructing a Endpoint resource. :param pulumi.Input[Sequence[pulumi.Input['EndpointOriginArgs']]] origins: The set of origins of the CDN endpoint. When multiple origins exist, the first origin will be used as primary and rest will be used as failover options. Each `origin` block supports fields documented below. :param pulumi.Input[str] profile_name: The CDN Profile to which to attach the CDN Endpoint. :param pulumi.Input[str] resource_group_name: The name of the resource group in which to create the CDN Endpoint. :param pulumi.Input[Sequence[pulumi.Input[str]]] content_types_to_compresses: An array of strings that indicates a content types on which compression will be applied. The value for the elements should be MIME types. :param pulumi.Input[Sequence[pulumi.Input['EndpointDeliveryRuleArgs']]] delivery_rules: Rules for the rules engine. An endpoint can contain up until 4 of those rules that consist of conditions and actions. A `delivery_rule` blocks as defined below. :param pulumi.Input[Sequence[pulumi.Input['EndpointGeoFilterArgs']]] geo_filters: A set of Geo Filters for this CDN Endpoint. Each `geo_filter` block supports fields documented below. :param pulumi.Input['EndpointGlobalDeliveryRuleArgs'] global_delivery_rule: Actions that are valid for all resources regardless of any conditions. A `global_delivery_rule` block as defined below. :param pulumi.Input[bool] is_compression_enabled: Indicates whether compression is to be enabled. :param pulumi.Input[bool] is_http_allowed: Defaults to `true`. :param pulumi.Input[bool] is_https_allowed: Defaults to `true`. :param pulumi.Input[str] location: Specifies the supported Azure location where the resource exists. Changing this forces a new resource to be created. :param pulumi.Input[str] name: The name of the origin. This is an arbitrary value. However, this value needs to be unique under the endpoint. Changing this forces a new resource to be created. :param pulumi.Input[str] optimization_type: What types of optimization should this CDN Endpoint optimize for? Possible values include `DynamicSiteAcceleration`, `GeneralMediaStreaming`, `GeneralWebDelivery`, `LargeFileDownload` and `VideoOnDemandMediaStreaming`. :param pulumi.Input[str] origin_host_header: The host header CDN provider will send along with content requests to origins. :param pulumi.Input[str] origin_path: The path used at for origin requests. :param pulumi.Input[str] probe_path: the path to a file hosted on the origin which helps accelerate delivery of the dynamic content and calculate the most optimal routes for the CDN. This is relative to the `origin_path`. :param pulumi.Input[str] querystring_caching_behaviour: Sets query string caching behavior. Allowed values are `IgnoreQueryString`, `BypassCaching` and `UseQueryString`. `NotSet` value can be used for `Premium Verizon` CDN profile. Defaults to `IgnoreQueryString`. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A mapping of tags to assign to the resource. """ pulumi.set(__self__, "origins", origins) pulumi.set(__self__, "profile_name", profile_name) pulumi.set(__self__, "resource_group_name", resource_group_name) if content_types_to_compresses is not None: pulumi.set(__self__, "content_types_to_compresses", content_types_to_compresses) if delivery_rules is not None: pulumi.set(__self__, "delivery_rules", delivery_rules) if geo_filters is not None: pulumi.set(__self__, "geo_filters", geo_filters) if global_delivery_rule is not None: pulumi.set(__self__, "global_delivery_rule", global_delivery_rule) if is_compression_enabled is not None: pulumi.set(__self__, "is_compression_enabled", is_compression_enabled) if is_http_allowed is not None: pulumi.set(__self__, "is_http_allowed", is_http_allowed) if is_https_allowed is not None: pulumi.set(__self__, "is_https_allowed", is_https_allowed) if location is not None: pulumi.set(__self__, "location", location) if name is not None: pulumi.set(__self__, "name", name) if optimization_type is not None: pulumi.set(__self__, "optimization_type", optimization_type) if origin_host_header is not None: pulumi.set(__self__, "origin_host_header", origin_host_header) if origin_path is not None: pulumi.set(__self__, "origin_path", origin_path) if probe_path is not None: pulumi.set(__self__, "probe_path", probe_path) if querystring_caching_behaviour is not None: pulumi.set(__self__, "querystring_caching_behaviour", querystring_caching_behaviour) if tags is not None: pulumi.set(__self__, "tags", tags) @property @pulumi.getter def origins(self) -> pulumi.Input[Sequence[pulumi.Input['EndpointOriginArgs']]]: """ The set of origins of the CDN endpoint. When multiple origins exist, the first origin will be used as primary and rest will be used as failover options. Each `origin` block supports fields documented below. """ return pulumi.get(self, "origins") @origins.setter def origins(self, value: pulumi.Input[Sequence[pulumi.Input['EndpointOriginArgs']]]): pulumi.set(self, "origins", value) @property @pulumi.getter(name="profileName") def profile_name(self) -> pulumi.Input[str]: """ The CDN Profile to which to attach the CDN Endpoint. """ return pulumi.get(self, "profile_name") @profile_name.setter def profile_name(self, value: pulumi.Input[str]): pulumi.set(self, "profile_name", value) @property @pulumi.getter(name="resourceGroupName") def resource_group_name(self) -> pulumi.Input[str]: """ The name of the resource group in which to create the CDN Endpoint. """ return pulumi.get(self, "resource_group_name") @resource_group_name.setter def resource_group_name(self, value: pulumi.Input[str]): pulumi.set(self, "resource_group_name", value) @property @pulumi.getter(name="contentTypesToCompresses") def content_types_to_compresses(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ An array of strings that indicates a content types on which compression will be applied. The value for the elements should be MIME types. """ return pulumi.get(self, "content_types_to_compresses") @content_types_to_compresses.setter def content_types_to_compresses(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "content_types_to_compresses", value) @property @pulumi.getter(name="deliveryRules") def delivery_rules(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['EndpointDeliveryRuleArgs']]]]: """ Rules for the rules engine. An endpoint can contain up until 4 of those rules that consist of conditions and actions. A `delivery_rule` blocks as defined below. """ return pulumi.get(self, "delivery_rules") @delivery_rules.setter def delivery_rules(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['EndpointDeliveryRuleArgs']]]]): pulumi.set(self, "delivery_rules", value) @property @pulumi.getter(name="geoFilters") def geo_filters(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['EndpointGeoFilterArgs']]]]: """ A set of Geo Filters for this CDN Endpoint. Each `geo_filter` block supports fields documented below. """ return pulumi.get(self, "geo_filters") @geo_filters.setter def geo_filters(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['EndpointGeoFilterArgs']]]]): pulumi.set(self, "geo_filters", value) @property @pulumi.getter(name="globalDeliveryRule") def global_delivery_rule(self) -> Optional[pulumi.Input['EndpointGlobalDeliveryRuleArgs']]: """ Actions that are valid for all resources regardless of any conditions. A `global_delivery_rule` block as defined below. """ return pulumi.get(self, "global_delivery_rule") @global_delivery_rule.setter def global_delivery_rule(self, value: Optional[pulumi.Input['EndpointGlobalDeliveryRuleArgs']]): pulumi.set(self, "global_delivery_rule", value) @property @pulumi.getter(name="isCompressionEnabled") def is_compression_enabled(self) -> Optional[pulumi.Input[bool]]: """ Indicates whether compression is to be enabled. """ return pulumi.get(self, "is_compression_enabled") @is_compression_enabled.setter def is_compression_enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "is_compression_enabled", value) @property @pulumi.getter(name="isHttpAllowed") def is_http_allowed(self) -> Optional[pulumi.Input[bool]]: """ Defaults to `true`. """ return pulumi.get(self, "is_http_allowed") @is_http_allowed.setter def is_http_allowed(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "is_http_allowed", value) @property @pulumi.getter(name="isHttpsAllowed") def is_https_allowed(self) -> Optional[pulumi.Input[bool]]: """ Defaults to `true`. """ return pulumi.get(self, "is_https_allowed") @is_https_allowed.setter def is_https_allowed(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "is_https_allowed", value) @property @pulumi.getter def location(self) -> Optional[pulumi.Input[str]]: """ Specifies the supported Azure location where the resource exists. Changing this forces a new resource to be created. """ return pulumi.get(self, "location") @location.setter def location(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "location", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The name of the origin. This is an arbitrary value. However, this value needs to be unique under the endpoint. Changing this forces a new resource to be created. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="optimizationType") def optimization_type(self) -> Optional[pulumi.Input[str]]: """ What types of optimization should this CDN Endpoint optimize for? Possible values include `DynamicSiteAcceleration`, `GeneralMediaStreaming`, `GeneralWebDelivery`, `LargeFileDownload` and `VideoOnDemandMediaStreaming`. """ return pulumi.get(self, "optimization_type") @optimization_type.setter def optimization_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "optimization_type", value) @property @pulumi.getter(name="originHostHeader") def origin_host_header(self) -> Optional[pulumi.Input[str]]: """ The host header CDN provider will send along with content requests to origins. """ return pulumi.get(self, "origin_host_header") @origin_host_header.setter def origin_host_header(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "origin_host_header", value) @property @pulumi.getter(name="originPath") def origin_path(self) -> Optional[pulumi.Input[str]]: """ The path used at for origin requests. """ return pulumi.get(self, "origin_path") @origin_path.setter def origin_path(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "origin_path", value) @property @pulumi.getter(name="probePath") def probe_path(self) -> Optional[pulumi.Input[str]]: """ the path to a file hosted on the origin which helps accelerate delivery of the dynamic content and calculate the most optimal routes for the CDN. This is relative to the `origin_path`. """ return pulumi.get(self, "probe_path") @probe_path.setter def probe_path(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "probe_path", value) @property @pulumi.getter(name="querystringCachingBehaviour") def querystring_caching_behaviour(self) -> Optional[pulumi.Input[str]]: """ Sets query string caching behavior. Allowed values are `IgnoreQueryString`, `BypassCaching` and `UseQueryString`. `NotSet` value can be used for `Premium Verizon` CDN profile. Defaults to `IgnoreQueryString`. """ return pulumi.get(self, "querystring_caching_behaviour") @querystring_caching_behaviour.setter def querystring_caching_behaviour(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "querystring_caching_behaviour", value) @property @pulumi.getter def tags(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]: """ A mapping of tags to assign to the resource. """ return pulumi.get(self, "tags") @tags.setter def tags(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]): pulumi.set(self, "tags", value) @pulumi.input_type class _EndpointState: def __init__(__self__, *, content_types_to_compresses: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, delivery_rules: Optional[pulumi.Input[Sequence[pulumi.Input['EndpointDeliveryRuleArgs']]]] = None, geo_filters: Optional[pulumi.Input[Sequence[pulumi.Input['EndpointGeoFilterArgs']]]] = None, global_delivery_rule: Optional[pulumi.Input['EndpointGlobalDeliveryRuleArgs']] = None, host_name: Optional[pulumi.Input[str]] = None, is_compression_enabled: Optional[pulumi.Input[bool]] = None, is_http_allowed: Optional[pulumi.Input[bool]] = None, is_https_allowed: Optional[pulumi.Input[bool]] = None, location: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, optimization_type: Optional[pulumi.Input[str]] = None, origin_host_header: Optional[pulumi.Input[str]] = None, origin_path: Optional[pulumi.Input[str]] = None, origins: Optional[pulumi.Input[Sequence[pulumi.Input['EndpointOriginArgs']]]] = None, probe_path: Optional[pulumi.Input[str]] = None, profile_name: Optional[pulumi.Input[str]] = None, querystring_caching_behaviour: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None): """ Input properties used for looking up and filtering Endpoint resources. :param pulumi.Input[Sequence[pulumi.Input[str]]] content_types_to_compresses: An array of strings that indicates a content types on which compression will be applied. The value for the elements should be MIME types. :param pulumi.Input[Sequence[pulumi.Input['EndpointDeliveryRuleArgs']]] delivery_rules: Rules for the rules engine. An endpoint can contain up until 4 of those rules that consist of conditions and actions. A `delivery_rule` blocks as defined below. :param pulumi.Input[Sequence[pulumi.Input['EndpointGeoFilterArgs']]] geo_filters: A set of Geo Filters for this CDN Endpoint. Each `geo_filter` block supports fields documented below. :param pulumi.Input['EndpointGlobalDeliveryRuleArgs'] global_delivery_rule: Actions that are valid for all resources regardless of any conditions. A `global_delivery_rule` block as defined below. :param pulumi.Input[str] host_name: A string that determines the hostname/IP address of the origin server. This string can be a domain name, Storage Account endpoint, Web App endpoint, IPv4 address or IPv6 address. Changing this forces a new resource to be created. :param pulumi.Input[bool] is_compression_enabled: Indicates whether compression is to be enabled. :param pulumi.Input[bool] is_http_allowed: Defaults to `true`. :param pulumi.Input[bool] is_https_allowed: Defaults to `true`. :param pulumi.Input[str] location: Specifies the supported Azure location where the resource exists. Changing this forces a new resource to be created. :param pulumi.Input[str] name: The name of the origin. This is an arbitrary value. However, this value needs to be unique under the endpoint. Changing this forces a new resource to be created. :param pulumi.Input[str] optimization_type: What types of optimization should this CDN Endpoint optimize for? Possible values include `DynamicSiteAcceleration`, `GeneralMediaStreaming`, `GeneralWebDelivery`, `LargeFileDownload` and `VideoOnDemandMediaStreaming`. :param pulumi.Input[str] origin_host_header: The host header CDN provider will send along with content requests to origins. :param pulumi.Input[str] origin_path: The path used at for origin requests. :param pulumi.Input[Sequence[pulumi.Input['EndpointOriginArgs']]] origins: The set of origins of the CDN endpoint. When multiple origins exist, the first origin will be used as primary and rest will be used as failover options. Each `origin` block supports fields documented below. :param pulumi.Input[str] probe_path: the path to a file hosted on the origin which helps accelerate delivery of the dynamic content and calculate the most optimal routes for the CDN. This is relative to the `origin_path`. :param pulumi.Input[str] profile_name: The CDN Profile to which to attach the CDN Endpoint. :param pulumi.Input[str] querystring_caching_behaviour: Sets query string caching behavior. Allowed values are `IgnoreQueryString`, `BypassCaching` and `UseQueryString`. `NotSet` value can be used for `Premium Verizon` CDN profile. Defaults to `IgnoreQueryString`. :param pulumi.Input[str] resource_group_name: The name of the resource group in which to create the CDN Endpoint. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A mapping of tags to assign to the resource. """ if content_types_to_compresses is not None: pulumi.set(__self__, "content_types_to_compresses", content_types_to_compresses) if delivery_rules is not None: pulumi.set(__self__, "delivery_rules", delivery_rules) if geo_filters is not None: pulumi.set(__self__, "geo_filters", geo_filters) if global_delivery_rule is not None: pulumi.set(__self__, "global_delivery_rule", global_delivery_rule) if host_name is not None: pulumi.set(__self__, "host_name", host_name) if is_compression_enabled is not None: pulumi.set(__self__, "is_compression_enabled", is_compression_enabled) if is_http_allowed is not None: pulumi.set(__self__, "is_http_allowed", is_http_allowed) if is_https_allowed is not None: pulumi.set(__self__, "is_https_allowed", is_https_allowed) if location is not None: pulumi.set(__self__, "location", location) if name is not None: pulumi.set(__self__, "name", name) if optimization_type is not None: pulumi.set(__self__, "optimization_type", optimization_type) if origin_host_header is not None: pulumi.set(__self__, "origin_host_header", origin_host_header) if origin_path is not None: pulumi.set(__self__, "origin_path", origin_path) if origins is not None: pulumi.set(__self__, "origins", origins) if probe_path is not None: pulumi.set(__self__, "probe_path", probe_path) if profile_name is not None: pulumi.set(__self__, "profile_name", profile_name) if querystring_caching_behaviour is not None: pulumi.set(__self__, "querystring_caching_behaviour", querystring_caching_behaviour) if resource_group_name is not None: pulumi.set(__self__, "resource_group_name", resource_group_name) if tags is not None: pulumi.set(__self__, "tags", tags) @property @pulumi.getter(name="contentTypesToCompresses") def content_types_to_compresses(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ An array of strings that indicates a content types on which compression will be applied. The value for the elements should be MIME types. """ return pulumi.get(self, "content_types_to_compresses") @content_types_to_compresses.setter def content_types_to_compresses(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "content_types_to_compresses", value) @property @pulumi.getter(name="deliveryRules") def delivery_rules(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['EndpointDeliveryRuleArgs']]]]: """ Rules for the rules engine. An endpoint can contain up until 4 of those rules that consist of conditions and actions. A `delivery_rule` blocks as defined below. """ return pulumi.get(self, "delivery_rules") @delivery_rules.setter def delivery_rules(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['EndpointDeliveryRuleArgs']]]]): pulumi.set(self, "delivery_rules", value) @property @pulumi.getter(name="geoFilters") def geo_filters(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['EndpointGeoFilterArgs']]]]: """ A set of Geo Filters for this CDN Endpoint. Each `geo_filter` block supports fields documented below. """ return pulumi.get(self, "geo_filters") @geo_filters.setter def geo_filters(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['EndpointGeoFilterArgs']]]]): pulumi.set(self, "geo_filters", value) @property @pulumi.getter(name="globalDeliveryRule") def global_delivery_rule(self) -> Optional[pulumi.Input['EndpointGlobalDeliveryRuleArgs']]: """ Actions that are valid for all resources regardless of any conditions. A `global_delivery_rule` block as defined below. """ return pulumi.get(self, "global_delivery_rule") @global_delivery_rule.setter def global_delivery_rule(self, value: Optional[pulumi.Input['EndpointGlobalDeliveryRuleArgs']]): pulumi.set(self, "global_delivery_rule", value) @property @pulumi.getter(name="hostName") def host_name(self) -> Optional[pulumi.Input[str]]: """ A string that determines the hostname/IP address of the origin server. This string can be a domain name, Storage Account endpoint, Web App endpoint, IPv4 address or IPv6 address. Changing this forces a new resource to be created. """ return pulumi.get(self, "host_name") @host_name.setter def host_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "host_name", value) @property @pulumi.getter(name="isCompressionEnabled") def is_compression_enabled(self) -> Optional[pulumi.Input[bool]]: """ Indicates whether compression is to be enabled. """ return pulumi.get(self, "is_compression_enabled") @is_compression_enabled.setter def is_compression_enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "is_compression_enabled", value) @property @pulumi.getter(name="isHttpAllowed") def is_http_allowed(self) -> Optional[pulumi.Input[bool]]: """ Defaults to `true`. """ return pulumi.get(self, "is_http_allowed") @is_http_allowed.setter def is_http_allowed(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "is_http_allowed", value) @property @pulumi.getter(name="isHttpsAllowed") def is_https_allowed(self) -> Optional[pulumi.Input[bool]]: """ Defaults to `true`. """ return pulumi.get(self, "is_https_allowed") @is_https_allowed.setter def is_https_allowed(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "is_https_allowed", value) @property @pulumi.getter def location(self) -> Optional[pulumi.Input[str]]: """ Specifies the supported Azure location where the resource exists. Changing this forces a new resource to be created. """ return pulumi.get(self, "location") @location.setter def location(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "location", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The name of the origin. This is an arbitrary value. However, this value needs to be unique under the endpoint. Changing this forces a new resource to be created. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="optimizationType") def optimization_type(self) -> Optional[pulumi.Input[str]]: """ What types of optimization should this CDN Endpoint optimize for? Possible values include `DynamicSiteAcceleration`, `GeneralMediaStreaming`, `GeneralWebDelivery`, `LargeFileDownload` and `VideoOnDemandMediaStreaming`. """ return pulumi.get(self, "optimization_type") @optimization_type.setter def optimization_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "optimization_type", value) @property @pulumi.getter(name="originHostHeader") def origin_host_header(self) -> Optional[pulumi.Input[str]]: """ The host header CDN provider will send along with content requests to origins. """ return pulumi.get(self, "origin_host_header") @origin_host_header.setter def origin_host_header(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "origin_host_header", value) @property @pulumi.getter(name="originPath") def origin_path(self) -> Optional[pulumi.Input[str]]: """ The path used at for origin requests. """ return pulumi.get(self, "origin_path") @origin_path.setter def origin_path(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "origin_path", value) @property @pulumi.getter def origins(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['EndpointOriginArgs']]]]: """ The set of origins of the CDN endpoint. When multiple origins exist, the first origin will be used as primary and rest will be used as failover options. Each `origin` block supports fields documented below. """ return pulumi.get(self, "origins") @origins.setter def origins(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['EndpointOriginArgs']]]]): pulumi.set(self, "origins", value) @property @pulumi.getter(name="probePath") def probe_path(self) -> Optional[pulumi.Input[str]]: """ the path to a file hosted on the origin which helps accelerate delivery of the dynamic content and calculate the most optimal routes for the CDN. This is relative to the `origin_path`. """ return pulumi.get(self, "probe_path") @probe_path.setter def probe_path(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "probe_path", value) @property @pulumi.getter(name="profileName") def profile_name(self) -> Optional[pulumi.Input[str]]: """ The CDN Profile to which to attach the CDN Endpoint. """ return pulumi.get(self, "profile_name") @profile_name.setter def profile_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "profile_name", value) @property @pulumi.getter(name="querystringCachingBehaviour") def querystring_caching_behaviour(self) -> Optional[pulumi.Input[str]]: """ Sets query string caching behavior. Allowed values are `IgnoreQueryString`, `BypassCaching` and `UseQueryString`. `NotSet` value can be used for `Premium Verizon` CDN profile. Defaults to `IgnoreQueryString`. """ return pulumi.get(self, "querystring_caching_behaviour") @querystring_caching_behaviour.setter def querystring_caching_behaviour(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "querystring_caching_behaviour", value) @property @pulumi.getter(name="resourceGroupName") def resource_group_name(self) -> Optional[pulumi.Input[str]]: """ The name of the resource group in which to create the CDN Endpoint. """ return pulumi.get(self, "resource_group_name") @resource_group_name.setter def resource_group_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "resource_group_name", value) @property @pulumi.getter def tags(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]: """ A mapping of tags to assign to the resource. """ return pulumi.get(self, "tags") @tags.setter def tags(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]): pulumi.set(self, "tags", value) class Endpoint(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, content_types_to_compresses: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, delivery_rules: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['EndpointDeliveryRuleArgs']]]]] = None, geo_filters: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['EndpointGeoFilterArgs']]]]] = None, global_delivery_rule: Optional[pulumi.Input[pulumi.InputType['EndpointGlobalDeliveryRuleArgs']]] = None, is_compression_enabled: Optional[pulumi.Input[bool]] = None, is_http_allowed: Optional[pulumi.Input[bool]] = None, is_https_allowed: Optional[pulumi.Input[bool]] = None, location: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, optimization_type: Optional[pulumi.Input[str]] = None, origin_host_header: Optional[pulumi.Input[str]] = None, origin_path: Optional[pulumi.Input[str]] = None, origins: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['EndpointOriginArgs']]]]] = None, probe_path: Optional[pulumi.Input[str]] = None, profile_name: Optional[pulumi.Input[str]] = None, querystring_caching_behaviour: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, __props__=None): """ ## Import CDN Endpoints can be imported using the `resource id`, e.g. ```sh $ pulumi import azure:cdn/endpoint:Endpoint example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/mygroup1/providers/Microsoft.Cdn/profiles/myprofile1/endpoints/myendpoint1 ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[Sequence[pulumi.Input[str]]] content_types_to_compresses: An array of strings that indicates a content types on which compression will be applied. The value for the elements should be MIME types. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['EndpointDeliveryRuleArgs']]]] delivery_rules: Rules for the rules engine. An endpoint can contain up until 4 of those rules that consist of conditions and actions. A `delivery_rule` blocks as defined below. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['EndpointGeoFilterArgs']]]] geo_filters: A set of Geo Filters for this CDN Endpoint. Each `geo_filter` block supports fields documented below. :param pulumi.Input[pulumi.InputType['EndpointGlobalDeliveryRuleArgs']] global_delivery_rule: Actions that are valid for all resources regardless of any conditions. A `global_delivery_rule` block as defined below. :param pulumi.Input[bool] is_compression_enabled: Indicates whether compression is to be enabled. :param pulumi.Input[bool] is_http_allowed: Defaults to `true`. :param pulumi.Input[bool] is_https_allowed: Defaults to `true`. :param pulumi.Input[str] location: Specifies the supported Azure location where the resource exists. Changing this forces a new resource to be created. :param pulumi.Input[str] name: The name of the origin. This is an arbitrary value. However, this value needs to be unique under the endpoint. Changing this forces a new resource to be created. :param pulumi.Input[str] optimization_type: What types of optimization should this CDN Endpoint optimize for? Possible values include `DynamicSiteAcceleration`, `GeneralMediaStreaming`, `GeneralWebDelivery`, `LargeFileDownload` and `VideoOnDemandMediaStreaming`. :param pulumi.Input[str] origin_host_header: The host header CDN provider will send along with content requests to origins. :param pulumi.Input[str] origin_path: The path used at for origin requests. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['EndpointOriginArgs']]]] origins: The set of origins of the CDN endpoint. When multiple origins exist, the first origin will be used as primary and rest will be used as failover options. Each `origin` block supports fields documented below. :param pulumi.Input[str] probe_path: the path to a file hosted on the origin which helps accelerate delivery of the dynamic content and calculate the most optimal routes for the CDN. This is relative to the `origin_path`. :param pulumi.Input[str] profile_name: The CDN Profile to which to attach the CDN Endpoint. :param pulumi.Input[str] querystring_caching_behaviour: Sets query string caching behavior. Allowed values are `IgnoreQueryString`, `BypassCaching` and `UseQueryString`. `NotSet` value can be used for `Premium Verizon` CDN profile. Defaults to `IgnoreQueryString`. :param pulumi.Input[str] resource_group_name: The name of the resource group in which to create the CDN Endpoint. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A mapping of tags to assign to the resource. """ ... @overload def __init__(__self__, resource_name: str, args: EndpointArgs, opts: Optional[pulumi.ResourceOptions] = None): """ ## Import CDN Endpoints can be imported using the `resource id`, e.g. ```sh $ pulumi import azure:cdn/endpoint:Endpoint example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/mygroup1/providers/Microsoft.Cdn/profiles/myprofile1/endpoints/myendpoint1 ``` :param str resource_name: The name of the resource. :param EndpointArgs args: The arguments to use to populate this resource's properties. :param pulumi.ResourceOptions opts: Options for the resource. """ ... def __init__(__self__, resource_name: str, *args, **kwargs): resource_args, opts = _utilities.get_resource_args_opts(EndpointArgs, pulumi.ResourceOptions, *args, **kwargs) if resource_args is not None: __self__._internal_init(resource_name, opts, **resource_args.__dict__) else: __self__._internal_init(resource_name, *args, **kwargs) def _internal_init(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, content_types_to_compresses: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, delivery_rules: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['EndpointDeliveryRuleArgs']]]]] = None, geo_filters: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['EndpointGeoFilterArgs']]]]] = None, global_delivery_rule: Optional[pulumi.Input[pulumi.InputType['EndpointGlobalDeliveryRuleArgs']]] = None, is_compression_enabled: Optional[pulumi.Input[bool]] = None, is_http_allowed: Optional[pulumi.Input[bool]] = None, is_https_allowed: Optional[pulumi.Input[bool]] = None, location: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, optimization_type: Optional[pulumi.Input[str]] = None, origin_host_header: Optional[pulumi.Input[str]] = None, origin_path: Optional[pulumi.Input[str]] = None, origins: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['EndpointOriginArgs']]]]] = None, probe_path: Optional[pulumi.Input[str]] = None, profile_name: Optional[pulumi.Input[str]] = None, querystring_caching_behaviour: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = EndpointArgs.__new__(EndpointArgs) __props__.__dict__["content_types_to_compresses"] = content_types_to_compresses __props__.__dict__["delivery_rules"] = delivery_rules __props__.__dict__["geo_filters"] = geo_filters __props__.__dict__["global_delivery_rule"] = global_delivery_rule __props__.__dict__["is_compression_enabled"] = is_compression_enabled __props__.__dict__["is_http_allowed"] = is_http_allowed __props__.__dict__["is_https_allowed"] = is_https_allowed __props__.__dict__["location"] = location __props__.__dict__["name"] = name __props__.__dict__["optimization_type"] = optimization_type __props__.__dict__["origin_host_header"] = origin_host_header __props__.__dict__["origin_path"] = origin_path if origins is None and not opts.urn: raise TypeError("Missing required property 'origins'") __props__.__dict__["origins"] = origins __props__.__dict__["probe_path"] = probe_path if profile_name is None and not opts.urn: raise TypeError("Missing required property 'profile_name'") __props__.__dict__["profile_name"] = profile_name __props__.__dict__["querystring_caching_behaviour"] = querystring_caching_behaviour if resource_group_name is None and not opts.urn: raise TypeError("Missing required property 'resource_group_name'") __props__.__dict__["resource_group_name"] = resource_group_name __props__.__dict__["tags"] = tags __props__.__dict__["host_name"] = None super(Endpoint, __self__).__init__( 'azure:cdn/endpoint:Endpoint', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, content_types_to_compresses: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, delivery_rules: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['EndpointDeliveryRuleArgs']]]]] = None, geo_filters: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['EndpointGeoFilterArgs']]]]] = None, global_delivery_rule: Optional[pulumi.Input[pulumi.InputType['EndpointGlobalDeliveryRuleArgs']]] = None, host_name: Optional[pulumi.Input[str]] = None, is_compression_enabled: Optional[pulumi.Input[bool]] = None, is_http_allowed: Optional[pulumi.Input[bool]] = None, is_https_allowed: Optional[pulumi.Input[bool]] = None, location: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, optimization_type: Optional[pulumi.Input[str]] = None, origin_host_header: Optional[pulumi.Input[str]] = None, origin_path: Optional[pulumi.Input[str]] = None, origins: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['EndpointOriginArgs']]]]] = None, probe_path: Optional[pulumi.Input[str]] = None, profile_name: Optional[pulumi.Input[str]] = None, querystring_caching_behaviour: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None) -> 'Endpoint': """ Get an existing Endpoint resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[Sequence[pulumi.Input[str]]] content_types_to_compresses: An array of strings that indicates a content types on which compression will be applied. The value for the elements should be MIME types. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['EndpointDeliveryRuleArgs']]]] delivery_rules: Rules for the rules engine. An endpoint can contain up until 4 of those rules that consist of conditions and actions. A `delivery_rule` blocks as defined below. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['EndpointGeoFilterArgs']]]] geo_filters: A set of Geo Filters for this CDN Endpoint. Each `geo_filter` block supports fields documented below. :param pulumi.Input[pulumi.InputType['EndpointGlobalDeliveryRuleArgs']] global_delivery_rule: Actions that are valid for all resources regardless of any conditions. A `global_delivery_rule` block as defined below. :param pulumi.Input[str] host_name: A string that determines the hostname/IP address of the origin server. This string can be a domain name, Storage Account endpoint, Web App endpoint, IPv4 address or IPv6 address. Changing this forces a new resource to be created. :param pulumi.Input[bool] is_compression_enabled: Indicates whether compression is to be enabled. :param pulumi.Input[bool] is_http_allowed: Defaults to `true`. :param pulumi.Input[bool] is_https_allowed: Defaults to `true`. :param pulumi.Input[str] location: Specifies the supported Azure location where the resource exists. Changing this forces a new resource to be created. :param pulumi.Input[str] name: The name of the origin. This is an arbitrary value. However, this value needs to be unique under the endpoint. Changing this forces a new resource to be created. :param pulumi.Input[str] optimization_type: What types of optimization should this CDN Endpoint optimize for? Possible values include `DynamicSiteAcceleration`, `GeneralMediaStreaming`, `GeneralWebDelivery`, `LargeFileDownload` and `VideoOnDemandMediaStreaming`. :param pulumi.Input[str] origin_host_header: The host header CDN provider will send along with content requests to origins. :param pulumi.Input[str] origin_path: The path used at for origin requests. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['EndpointOriginArgs']]]] origins: The set of origins of the CDN endpoint. When multiple origins exist, the first origin will be used as primary and rest will be used as failover options. Each `origin` block supports fields documented below. :param pulumi.Input[str] probe_path: the path to a file hosted on the origin which helps accelerate delivery of the dynamic content and calculate the most optimal routes for the CDN. This is relative to the `origin_path`. :param pulumi.Input[str] profile_name: The CDN Profile to which to attach the CDN Endpoint. :param pulumi.Input[str] querystring_caching_behaviour: Sets query string caching behavior. Allowed values are `IgnoreQueryString`, `BypassCaching` and `UseQueryString`. `NotSet` value can be used for `Premium Verizon` CDN profile. Defaults to `IgnoreQueryString`. :param pulumi.Input[str] resource_group_name: The name of the resource group in which to create the CDN Endpoint. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A mapping of tags to assign to the resource. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _EndpointState.__new__(_EndpointState) __props__.__dict__["content_types_to_compresses"] = content_types_to_compresses __props__.__dict__["delivery_rules"] = delivery_rules __props__.__dict__["geo_filters"] = geo_filters __props__.__dict__["global_delivery_rule"] = global_delivery_rule __props__.__dict__["host_name"] = host_name __props__.__dict__["is_compression_enabled"] = is_compression_enabled __props__.__dict__["is_http_allowed"] = is_http_allowed __props__.__dict__["is_https_allowed"] = is_https_allowed __props__.__dict__["location"] = location __props__.__dict__["name"] = name __props__.__dict__["optimization_type"] = optimization_type __props__.__dict__["origin_host_header"] = origin_host_header __props__.__dict__["origin_path"] = origin_path __props__.__dict__["origins"] = origins __props__.__dict__["probe_path"] = probe_path __props__.__dict__["profile_name"] = profile_name __props__.__dict__["querystring_caching_behaviour"] = querystring_caching_behaviour __props__.__dict__["resource_group_name"] = resource_group_name __props__.__dict__["tags"] = tags return Endpoint(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="contentTypesToCompresses") def content_types_to_compresses(self) -> pulumi.Output[Sequence[str]]: """ An array of strings that indicates a content types on which compression will be applied. The value for the elements should be MIME types. """ return pulumi.get(self, "content_types_to_compresses") @property @pulumi.getter(name="deliveryRules") def delivery_rules(self) -> pulumi.Output[Optional[Sequence['outputs.EndpointDeliveryRule']]]: """ Rules for the rules engine. An endpoint can contain up until 4 of those rules that consist of conditions and actions. A `delivery_rule` blocks as defined below. """ return pulumi.get(self, "delivery_rules") @property @pulumi.getter(name="geoFilters") def geo_filters(self) -> pulumi.Output[Optional[Sequence['outputs.EndpointGeoFilter']]]: """ A set of Geo Filters for this CDN Endpoint. Each `geo_filter` block supports fields documented below. """ return pulumi.get(self, "geo_filters") @property @pulumi.getter(name="globalDeliveryRule") def global_delivery_rule(self) -> pulumi.Output[Optional['outputs.EndpointGlobalDeliveryRule']]: """ Actions that are valid for all resources regardless of any conditions. A `global_delivery_rule` block as defined below. """ return pulumi.get(self, "global_delivery_rule") @property @pulumi.getter(name="hostName") def host_name(self) -> pulumi.Output[str]: """ A string that determines the hostname/IP address of the origin server. This string can be a domain name, Storage Account endpoint, Web App endpoint, IPv4 address or IPv6 address. Changing this forces a new resource to be created. """ return pulumi.get(self, "host_name") @property @pulumi.getter(name="isCompressionEnabled") def is_compression_enabled(self) -> pulumi.Output[Optional[bool]]: """ Indicates whether compression is to be enabled. """ return pulumi.get(self, "is_compression_enabled") @property @pulumi.getter(name="isHttpAllowed") def is_http_allowed(self) -> pulumi.Output[Optional[bool]]: """ Defaults to `true`. """ return pulumi.get(self, "is_http_allowed") @property @pulumi.getter(name="isHttpsAllowed") def is_https_allowed(self) -> pulumi.Output[Optional[bool]]: """ Defaults to `true`. """ return pulumi.get(self, "is_https_allowed") @property @pulumi.getter def location(self) -> pulumi.Output[str]: """ Specifies the supported Azure location where the resource exists. Changing this forces a new resource to be created. """ return pulumi.get(self, "location") @property @pulumi.getter def name(self) -> pulumi.Output[str]: """ The name of the origin. This is an arbitrary value. However, this value needs to be unique under the endpoint. Changing this forces a new resource to be created. """ return pulumi.get(self, "name") @property @pulumi.getter(name="optimizationType") def optimization_type(self) -> pulumi.Output[Optional[str]]: """ What types of optimization should this CDN Endpoint optimize for? Possible values include `DynamicSiteAcceleration`, `GeneralMediaStreaming`, `GeneralWebDelivery`, `LargeFileDownload` and `VideoOnDemandMediaStreaming`. """ return pulumi.get(self, "optimization_type") @property @pulumi.getter(name="originHostHeader") def origin_host_header(self) -> pulumi.Output[Optional[str]]: """ The host header CDN provider will send along with content requests to origins. """ return pulumi.get(self, "origin_host_header") @property @pulumi.getter(name="originPath") def origin_path(self) -> pulumi.Output[str]: """ The path used at for origin requests. """ return pulumi.get(self, "origin_path") @property @pulumi.getter def origins(self) -> pulumi.Output[Sequence['outputs.EndpointOrigin']]: """ The set of origins of the CDN endpoint. When multiple origins exist, the first origin will be used as primary and rest will be used as failover options. Each `origin` block supports fields documented below. """ return pulumi.get(self, "origins") @property @pulumi.getter(name="probePath") def probe_path(self) -> pulumi.Output[str]: """ the path to a file hosted on the origin which helps accelerate delivery of the dynamic content and calculate the most optimal routes for the CDN. This is relative to the `origin_path`. """ return pulumi.get(self, "probe_path") @property @pulumi.getter(name="profileName") def profile_name(self) -> pulumi.Output[str]: """ The CDN Profile to which to attach the CDN Endpoint. """ return pulumi.get(self, "profile_name") @property @pulumi.getter(name="querystringCachingBehaviour") def querystring_caching_behaviour(self) -> pulumi.Output[Optional[str]]: """ Sets query string caching behavior. Allowed values are `IgnoreQueryString`, `BypassCaching` and `UseQueryString`. `NotSet` value can be used for `Premium Verizon` CDN profile. Defaults to `IgnoreQueryString`. """ return pulumi.get(self, "querystring_caching_behaviour") @property @pulumi.getter(name="resourceGroupName") def resource_group_name(self) -> pulumi.Output[str]: """ The name of the resource group in which to create the CDN Endpoint. """ return pulumi.get(self, "resource_group_name") @property @pulumi.getter def tags(self) -> pulumi.Output[Optional[Mapping[str, str]]]: """ A mapping of tags to assign to the resource. """ return pulumi.get(self, "tags")

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Python

tests/components/cert_expiry/test_sensors.py

rchl/core

974e099e2a9527d38445531c6d9bc1461ba4c36f

[ "Apache-2.0" ]

2

2021-05-19T19:05:08.000Z

2021-06-06T06:51:05.000Z

tests/components/cert_expiry/test_sensors.py

jrhubott/core

89fe232643134f283c041537e9f6841f47dc1c5e

[ "Apache-2.0" ]

56

2020-08-03T07:30:54.000Z

2022-03-31T06:02:04.000Z

tests/components/cert_expiry/test_sensors.py

jrhubott/core

89fe232643134f283c041537e9f6841f47dc1c5e

[ "Apache-2.0" ]

2

2021-07-14T20:22:04.000Z

2021-09-22T08:56:16.000Z

"""Tests for the Cert Expiry sensors.""" from datetime import timedelta import socket import ssl from homeassistant.components.cert_expiry.const import DOMAIN from homeassistant.config_entries import ENTRY_STATE_SETUP_RETRY from homeassistant.const import CONF_HOST, CONF_PORT, STATE_UNAVAILABLE, STATE_UNKNOWN from homeassistant.util.dt import utcnow from .const import HOST, PORT from .helpers import future_timestamp, static_datetime from tests.async_mock import patch from tests.common import MockConfigEntry, async_fire_time_changed @patch("homeassistant.util.dt.utcnow", return_value=static_datetime()) async def test_async_setup_entry(mock_now, hass): """Test async_setup_entry.""" entry = MockConfigEntry( domain=DOMAIN, data={CONF_HOST: HOST, CONF_PORT: PORT}, unique_id=f"{HOST}:{PORT}", ) timestamp = future_timestamp(100) with patch( "homeassistant.components.cert_expiry.get_cert_expiry_timestamp", return_value=timestamp, ): entry.add_to_hass(hass) assert await hass.config_entries.async_setup(entry.entry_id) await hass.async_block_till_done() state = hass.states.get("sensor.cert_expiry_timestamp_example_com") assert state is not None assert state.state != STATE_UNAVAILABLE assert state.state == timestamp.isoformat() assert state.attributes.get("error") == "None" assert state.attributes.get("is_valid") async def test_async_setup_entry_bad_cert(hass): """Test async_setup_entry with a bad/expired cert.""" entry = MockConfigEntry( domain=DOMAIN, data={CONF_HOST: HOST, CONF_PORT: PORT}, unique_id=f"{HOST}:{PORT}", ) with patch( "homeassistant.components.cert_expiry.helper.get_cert", side_effect=ssl.SSLError("some error"), ): entry.add_to_hass(hass) assert await hass.config_entries.async_setup(entry.entry_id) await hass.async_block_till_done() state = hass.states.get("sensor.cert_expiry_timestamp_example_com") assert state is not None assert state.state != STATE_UNAVAILABLE assert state.attributes.get("error") == "some error" assert not state.attributes.get("is_valid") async def test_async_setup_entry_host_unavailable(hass): """Test async_setup_entry when host is unavailable.""" entry = MockConfigEntry( domain=DOMAIN, data={CONF_HOST: HOST, CONF_PORT: PORT}, unique_id=f"{HOST}:{PORT}", ) with patch( "homeassistant.components.cert_expiry.helper.get_cert", side_effect=socket.gaierror, ): entry.add_to_hass(hass) assert await hass.config_entries.async_setup(entry.entry_id) is False await hass.async_block_till_done() assert entry.state == ENTRY_STATE_SETUP_RETRY next_update = utcnow() + timedelta(seconds=45) async_fire_time_changed(hass, next_update) with patch( "homeassistant.components.cert_expiry.helper.get_cert", side_effect=socket.gaierror, ): await hass.async_block_till_done() state = hass.states.get("sensor.cert_expiry_timestamp_example_com") assert state is None async def test_update_sensor(hass): """Test async_update for sensor.""" entry = MockConfigEntry( domain=DOMAIN, data={CONF_HOST: HOST, CONF_PORT: PORT}, unique_id=f"{HOST}:{PORT}", ) starting_time = static_datetime() timestamp = future_timestamp(100) with patch("homeassistant.util.dt.utcnow", return_value=starting_time), patch( "homeassistant.components.cert_expiry.get_cert_expiry_timestamp", return_value=timestamp, ): entry.add_to_hass(hass) assert await hass.config_entries.async_setup(entry.entry_id) await hass.async_block_till_done() state = hass.states.get("sensor.cert_expiry_timestamp_example_com") assert state is not None assert state.state != STATE_UNAVAILABLE assert state.state == timestamp.isoformat() assert state.attributes.get("error") == "None" assert state.attributes.get("is_valid") next_update = starting_time + timedelta(hours=24) with patch("homeassistant.util.dt.utcnow", return_value=next_update), patch( "homeassistant.components.cert_expiry.get_cert_expiry_timestamp", return_value=timestamp, ): async_fire_time_changed(hass, utcnow() + timedelta(hours=24)) await hass.async_block_till_done() state = hass.states.get("sensor.cert_expiry_timestamp_example_com") assert state is not None assert state.state != STATE_UNAVAILABLE assert state.state == timestamp.isoformat() assert state.attributes.get("error") == "None" assert state.attributes.get("is_valid") async def test_update_sensor_network_errors(hass): """Test async_update for sensor.""" entry = MockConfigEntry( domain=DOMAIN, data={CONF_HOST: HOST, CONF_PORT: PORT}, unique_id=f"{HOST}:{PORT}", ) starting_time = static_datetime() timestamp = future_timestamp(100) with patch("homeassistant.util.dt.utcnow", return_value=starting_time), patch( "homeassistant.components.cert_expiry.get_cert_expiry_timestamp", return_value=timestamp, ): entry.add_to_hass(hass) assert await hass.config_entries.async_setup(entry.entry_id) await hass.async_block_till_done() state = hass.states.get("sensor.cert_expiry_timestamp_example_com") assert state is not None assert state.state != STATE_UNAVAILABLE assert state.state == timestamp.isoformat() assert state.attributes.get("error") == "None" assert state.attributes.get("is_valid") next_update = starting_time + timedelta(hours=24) with patch("homeassistant.util.dt.utcnow", return_value=next_update), patch( "homeassistant.components.cert_expiry.helper.get_cert", side_effect=socket.gaierror, ): async_fire_time_changed(hass, utcnow() + timedelta(hours=24)) await hass.async_block_till_done() next_update = starting_time + timedelta(hours=48) state = hass.states.get("sensor.cert_expiry_timestamp_example_com") assert state.state == STATE_UNAVAILABLE with patch("homeassistant.util.dt.utcnow", return_value=next_update), patch( "homeassistant.components.cert_expiry.get_cert_expiry_timestamp", return_value=timestamp, ): async_fire_time_changed(hass, utcnow() + timedelta(hours=48)) await hass.async_block_till_done() state = hass.states.get("sensor.cert_expiry_timestamp_example_com") assert state is not None assert state.state != STATE_UNAVAILABLE assert state.state == timestamp.isoformat() assert state.attributes.get("error") == "None" assert state.attributes.get("is_valid") next_update = starting_time + timedelta(hours=72) with patch("homeassistant.util.dt.utcnow", return_value=next_update), patch( "homeassistant.components.cert_expiry.helper.get_cert", side_effect=ssl.SSLError("something bad"), ): async_fire_time_changed(hass, utcnow() + timedelta(hours=72)) await hass.async_block_till_done() state = hass.states.get("sensor.cert_expiry_timestamp_example_com") assert state is not None assert state.state == STATE_UNKNOWN assert state.attributes.get("error") == "something bad" assert not state.attributes.get("is_valid") next_update = starting_time + timedelta(hours=96) with patch("homeassistant.util.dt.utcnow", return_value=next_update), patch( "homeassistant.components.cert_expiry.helper.get_cert", side_effect=Exception() ): async_fire_time_changed(hass, utcnow() + timedelta(hours=96)) await hass.async_block_till_done() state = hass.states.get("sensor.cert_expiry_timestamp_example_com") assert state.state == STATE_UNAVAILABLE

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4a7f1d42396159a0acbe5129d01d6150e79f1732

4,791

py

Python

tensorflow/et0/test_chinese_map/generate_shp_from_txt.py

waterfallhyb/portfolio-examples

46ff40f593c88979495f0987f857d056f8addaf7

[ "MIT" ]

28

2020-09-26T21:36:32.000Z

2021-07-04T03:40:45.000Z

tensorflow/et0/test_chinese_map/generate_shp_from_txt.py

waterfallhyb/portfolio-examples

46ff40f593c88979495f0987f857d056f8addaf7

[ "MIT" ]

null

tensorflow/et0/test_chinese_map/generate_shp_from_txt.py

waterfallhyb/portfolio-examples

46ff40f593c88979495f0987f857d056f8addaf7

[ "MIT" ]

1

2020-09-28T02:07:02.000Z

# Copyright (c) 2021 Graphcore Ltd. All rights reserved. import numpy as np def process_prs(file): f = open(file) prs_list = [] file_lines = f.readlines() for file_line in file_lines: file_split = file_line.split() name = file_split[0] x_temp = float(file_split[2]) y_temp = float(file_split[1]) x = np.floor(x_temp / 100) + ((x_temp / 100 - np.floor(x_temp / 100)) * 100) / 60 y = np.floor(y_temp / 100) + ((y_temp / 100 - np.floor(y_temp / 100)) * 100) / 60 if float(file_split[7]) < 20000: if float(file_split[3]) < 100000: attr_3 = float(file_split[3]) / 10 attr_4 = float(file_split[7]) / 10 else: attr_3 = (float(file_split[3]) - 100000) / 10 attr_4 = float(file_split[7]) / 10 else: if float(file_split[3]) < 100000: attr_3 = float(file_split[3]) / 10 attr_4 = (float(file_split[7]) - 20000) / 10 else: attr_3 = (float(file_split[3]) - 100000) / 10 attr_4 = (float(file_split[7]) - 20000) / 10 text = name + '\t' + str(x) + '\t' + str(y) + '\t' + str(attr_3) + '\t' + str(attr_4) + '\n' prs_list.append(text) return prs_list def process_rhu(file): f = open(file) rhu_list = [] file_lines = f.readlines() for file_line in file_lines: file_split = file_line.split() if float(file_split[7]) < 32760: name = file_split[0] x_temp = float(file_split[2]) y_temp = float(file_split[1]) x = np.floor(x_temp / 100) + ((x_temp / 100 - np.floor(x_temp / 100)) * 100) / 60 y = np.floor(y_temp / 100) + ((y_temp / 100 - np.floor(y_temp / 100)) * 100) / 60 if float(file_split[3]) < 100000: attr_3 = float(file_split[3]) / 10 attr_4 = float(file_split[7]) / 100 else: attr_3 = float(file_split[3] - 100000) / 10 attr_4 = float(file_split[7]) / 100 text = name + '\t' + str(x) + '\t' + str(y) + '\t' + str(attr_3) + '\t' + str(attr_4) + '\n' rhu_list.append(text) return rhu_list def process_tem(file): f = open(file) tem_list = [] file_lines = f.readlines() for file_line in file_lines: file_split = file_line.split() if float(file_split[7]) < 32760 and float(file_split[8]) < 32760 and float(file_split[9]) < 32760: name = file_split[0] x_temp = float(file_split[2]) y_temp = float(file_split[1]) x = np.floor(x_temp / 100) + ((x_temp / 100 - np.floor(x_temp / 100)) * 100) / 60 y = np.floor(y_temp / 100) + ((y_temp / 100 - np.floor(y_temp / 100)) * 100) / 60 if float(file_split[3]) < 100000: attr_3 = float(file_split[3]) / 10 else: attr_3 = (float(file_split[3]) - 100000) / 10 attr_4 = float(file_split[7]) / 10 + ((attr_3 / 100) * 0.65) attr_5 = float(file_split[8]) / 10 + ((attr_3 / 100) * 0.65) attr_6 = float(file_split[9]) / 10 + ((attr_3 / 100) * 0.65) text = name + '\t' + str(x) + '\t' + str(y) + '\t' + str(attr_3) + '\t' + str(attr_4) + '\t' + str(attr_5) + '\t' + str(attr_6) + '\n' tem_list.append(text) return tem_list def process_win(file): f = open(file) win_list = [] file_lines = f.readlines() for file_line in file_lines: file_split = file_line.split() if float(file_split[7]) < 32760: name = file_split[0] x_temp = float(file_split[2]) y_temp = float(file_split[1]) x = np.floor(x_temp / 100) + ((x_temp / 100 - np.floor(x_temp / 100)) * 100) / 60 y = np.floor(y_temp / 100) + ((y_temp / 100 - np.floor(y_temp / 100)) * 100) / 60 if float(file_split[7]) < 1000: if float(file_split[3]) < 100000: attr_3 = float(file_split[3]) / 10 attr_4 = float(file_split[7]) / 10 else: attr_3 = (float(file_split[3]) - 100000) / 10 attr_4 = float(file_split[7]) / 10 else: if float(file_split[3]) < 100000: attr_3 = float(file_split[3]) / 10 attr_4 = (float(file_split[7]) - 1000) / 10 else: attr_3 = (float(file_split[3]) - 100000) / 10 attr_4 = (float(file_split[7]) - 1000) / 10 text = name + '\t' + str(x) + '\t' + str(y) + '\t' + str(attr_3) + '\t' + str(attr_4) + '\n' win_list.append(text) return win_list

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9

4aadc6d21d045696cdcd9adea4e18d4c25a1424f

15,651

py

Python

test/save_load.py

yamada-github-account/cpprb

0e37e8deef95156c5b0ad8e5bce1577f612e90fa

[ "MIT" ]

13

2019-07-28T14:51:56.000Z

2020-06-22T04:09:06.000Z

test/save_load.py

yamada-github-account/cpprb

0e37e8deef95156c5b0ad8e5bce1577f612e90fa

[ "MIT" ]

1

2019-12-01T23:08:48.000Z

2019-12-03T04:16:42.000Z

test/save_load.py

yamada-github-account/cpprb

0e37e8deef95156c5b0ad8e5bce1577f612e90fa

[ "MIT" ]

2

2020-04-22T23:10:42.000Z

2020-07-28T14:23:55.000Z

import os import unittest import numpy as np from cpprb import ReplayBuffer, PrioritizedReplayBuffer def v(num: int, fname: str): return os.path.join(os.path.dirname(__file__), f"v{num}", fname) class TestReplayBuffer(unittest.TestCase): def test_basic(self): """ Basic Test Case Loaded buffer have same transitions with saved one. """ buffer_size = 4 env_dict = {"a": {}} rb1 = ReplayBuffer(buffer_size, env_dict) rb2 = ReplayBuffer(buffer_size, env_dict) rb3 = ReplayBuffer(buffer_size, env_dict) a = [1, 2, 3, 4] rb1.add(a=a) fname = "basic.npz" rb1.save_transitions(fname) rb2.load_transitions(fname) rb3.load_transitions(v(1,fname)) t1 = rb1.get_all_transitions() t2 = rb2.get_all_transitions() t3 = rb3.get_all_transitions() np.testing.assert_allclose(t1["a"], t2["a"]) np.testing.assert_allclose(t1["a"], t3["a"]) def test_smaller_buffer(self): """ Load to smaller buffer Loaded buffer only stored last buffer_size transitions """ buffer_size1 = 10 buffer_size2 = 4 env_dict = {"a": {}} rb1 = ReplayBuffer(buffer_size1, env_dict) rb2 = ReplayBuffer(buffer_size2, env_dict) rb3 = ReplayBuffer(buffer_size2, env_dict) a = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] fname = "smaller.npz" rb1.save_transitions(fname) rb2.load_transitions(fname) rb3.load_transitions(v(1,fname)) t1 = rb1.get_all_transitions() t2 = rb2.get_all_transitions() t3 = rb3.get_all_transitions() np.testing.assert_allclose(t1["a"][-buffer_size2:],t2["a"]) def test_load_to_filled_buffer(self): """ Load to already filled buffer Add to transitions """ buffer_size1 = 10 buffer_size2 = 10 env_dict = {"a": {}} rb1 = ReplayBuffer(buffer_size1, env_dict) rb2 = ReplayBuffer(buffer_size2, env_dict) rb3 = ReplayBuffer(buffer_size2, env_dict) a = [1, 2, 3, 4] b = [5, 6] rb1.add(a=a) rb2.add(a=b) rb3.add(a=b) fname="filled.npz" rb1.save_transitions(fname) rb2.load_transitions(fname) rb3.load_transitions(v(1,fname)) t1 = rb1.get_all_transitions() t2 = rb2.get_all_transitions() t3 = rb3.get_all_transitions() np.testing.assert_allclose(t1["a"], t2["a"][len(b):]) np.testing.assert_allclose(t1["a"], t3["a"][len(b):]) def test_load_Nstep(self): """ Load Nstep transitions """ buffer_size = 10 env_dict = {"done": {}} Nstep = {"size": 3, "gamma": 0.99} rb1 = ReplayBuffer(buffer_size, env_dict, Nstep=Nstep) rb2 = ReplayBuffer(buffer_size, env_dict, Nstep=Nstep) rb3 = ReplayBuffer(buffer_size, env_dict, Nstep=Nstep) d = [0, 0, 0, 0, 1] rb1.add(done=d) rb1.on_episode_end() fname="Nstep.npz" rb1.save_transitions(fname) rb2.load_transitions(fname) rb3.load_transitions(v(1,fname)) t1 = rb1.get_all_transitions() t2 = rb2.get_all_transitions() t3 = rb3.get_all_transitions() np.testing.assert_allclose(t1["done"], t2["done"]) np.testing.assert_allclose(t1["done"], t3["done"]) def test_Nstep_incompatibility(self): """ Raise ValueError when Nstep incompatibility """ buffer_size = 10 env_dict = {"done": {}} Nstep = {"size": 3, "gamma": 0.99} rb1 = ReplayBuffer(buffer_size, env_dict, Nstep=Nstep) rb2 = ReplayBuffer(buffer_size, env_dict) rb3 = ReplayBuffer(buffer_size, env_dict) d = [0, 0, 0, 0, 1] rb1.add(done=d) rb1.on_episode_end() fname="Nstep_raise.npz" rb1.save_transitions(fname) with self.assertRaises(ValueError): rb2.load_transitions(fname) with self.assertRaises(ValueError): rb3.load_transitions(v(1,fname)) def test_next_of(self): """ Load next_of transitions with safe mode For safe mode, next_of is not necessary at loaded buffer. """ buffer_size = 10 env_dict1 = {"a": {}} env_dict2 = {"a": {}, "next_a": {}} rb1 = ReplayBuffer(buffer_size, env_dict1, next_of="a") rb2 = ReplayBuffer(buffer_size, env_dict2) rb3 = ReplayBuffer(buffer_size, env_dict2) a = [1, 2, 3, 4, 5, 6] rb1.add(a=a[:-1], next_a=a[1:]) fname="next_of.npz" rb1.save_transitions(fname) rb2.load_transitions(fname) rb3.load_transitions(v(1,fname)) t1 = rb1.get_all_transitions() t2 = rb2.get_all_transitions() t3 = rb3.get_all_transitions() np.testing.assert_allclose(t1["a"], t2["a"]) np.testing.assert_allclose(t1["next_a"], t2["next_a"]) np.testing.assert_allclose(t1["a"], t3["a"]) np.testing.assert_allclose(t1["next_a"], t3["next_a"]) def test_unsafe_next_of(self): """ Load next_of transitions with unsafe mode """ buffer_size = 10 env_dict = {"a": {}} rb1 = ReplayBuffer(buffer_size, env_dict, next_of="a") rb2 = ReplayBuffer(buffer_size, env_dict, next_of="a") rb3 = ReplayBuffer(buffer_size, env_dict, next_of="a") a = [1, 2, 3, 4, 5, 6] rb1.add(a=a[:-1], next_a=a[1:]) fname="unsafe_next_of.npz" rb1.save_transitions(fname, safe=False) rb2.load_transitions(fname) rb3.load_transitions(v(1,fname)) t1 = rb1.get_all_transitions() t2 = rb2.get_all_transitions() t3 = rb3.get_all_transitions() np.testing.assert_allclose(t1["a"], t2["a"]) np.testing.assert_allclose(t1["next_a"], t2["next_a"]) np.testing.assert_allclose(t1["a"], t3["a"]) np.testing.assert_allclose(t1["next_a"], t3["next_a"]) def test_unsafe_next_of_already_filled(self): """ Load unsafe next_of transitions with already filled buffer """ buffer_size = 10 env_dict = {"a": {}} rb1 = ReplayBuffer(buffer_size, env_dict, next_of="a") rb2 = ReplayBuffer(buffer_size, env_dict, next_of="a") rb3 = ReplayBuffer(buffer_size, env_dict, next_of="a") a = [1, 2, 3, 4, 5, 6] b = [7, 8, 9] rb1.add(a=a[:-1], next_a=a[1:]) rb2.add(a=b[:-1], next_a=b[1:]) rb3.add(a=b[:-1], next_a=b[1:]) fname="unsafe_next_of_already.npz" rb1.save_transitions(fname, safe=False) rb2.load_transitions(fname) rb3.load_transitions(v(1,fname)) self.assertEqual(rb1.get_stored_size()+len(b)-1, rb2.get_stored_size()) self.assertEqual(rb1.get_stored_size()+len(b)-1, rb3.get_stored_size()) t1 = rb1.get_all_transitions() t2 = rb2.get_all_transitions() t3 = rb3.get_all_transitions() np.testing.assert_allclose(t1["a"], t2["a"][len(b)-1:]) np.testing.assert_allclose(t1["next_a"], t2["next_a"][len(b)-1:]) np.testing.assert_allclose(t1["a"], t3["a"][len(b)-1:]) np.testing.assert_allclose(t1["next_a"], t3["next_a"][len(b)-1:]) def test_incompatible_unsafe_next_of(self): """ Load incompatible next_of transitions with unsafe mode """ buffer_size = 10 env_dict1 = {"a": {}} env_dict2 = {"a": {}, "next_a": {}} rb1 = ReplayBuffer(buffer_size, env_dict1, next_of="a") rb2 = ReplayBuffer(buffer_size, env_dict2) rb3 = ReplayBuffer(buffer_size, env_dict2) a = [1, 2, 3, 4, 5, 6] rb1.add(a=a[:-1], next_a=a[1:]) fname="unsafe_incompatible_next_of.npz" rb1.save_transitions(fname, safe=False) rb2.load_transitions(fname) rb3.load_transitions(v(1,fname)) t1 = rb1.get_all_transitions() t2 = rb2.get_all_transitions() t3 = rb3.get_all_transitions() np.testing.assert_allclose(t1["a"], t2["a"]) np.testing.assert_allclose(t1["next_a"], t2["next_a"]) np.testing.assert_allclose(t1["a"], t3["a"]) np.testing.assert_allclose(t1["next_a"], t3["next_a"]) def test_fulled_unsafe_next_of(self): """ Load with already fulled buffer """ buffer_size = 10 env_dict = {"a": {}} rb1 = ReplayBuffer(buffer_size, env_dict, next_of="a") rb2 = ReplayBuffer(buffer_size, env_dict, next_of="a") rb3 = ReplayBuffer(buffer_size, env_dict, next_of="a") a = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13] rb1.add(a=a[:-1], next_a=a[1:]) fname="fulled_unsafe_next_of.npz" rb1.save_transitions(fname, safe=False) rb2.load_transitions(fname) rb3.load_transitions(v(1,fname)) t1 = rb1.get_all_transitions() t2 = rb2.get_all_transitions() t3 = rb3.get_all_transitions() np.testing.assert_allclose(t1["a"], t2["a"]) np.testing.assert_allclose(t1["next_a"], t2["next_a"]) np.testing.assert_allclose(t1["a"], t3["a"]) np.testing.assert_allclose(t1["next_a"], t3["next_a"]) def test_stack_compress(self): """ Load stack_compress transitions """ buffer_size = 10 env_dict = {"a": {"shape": 3}} rb1 = ReplayBuffer(buffer_size, env_dict, stack_compress="a") rb2 = ReplayBuffer(buffer_size, env_dict, stack_compress="a") rb3 = ReplayBuffer(buffer_size, env_dict, stack_compress="a") a = [[1, 2, 3], [2, 3, 4], [3, 4, 5], [4, 5, 6]] rb1.add(a=a) fname="stack_compress.npz" rb1.save_transitions(fname) rb2.load_transitions(fname) rb3.load_transitions(v(1,fname)) t1 = rb1.get_all_transitions() t2 = rb2.get_all_transitions() t3 = rb3.get_all_transitions() np.testing.assert_allclose(t1["a"], t2["a"]) np.testing.assert_allclose(t1["a"], t3["a"]) def test_incompatible_stack_compress(self): """ Load incompatible stack_compress transitions with safe mode """ buffer_size = 10 env_dict = {"a": {"shape": 3}} rb1 = ReplayBuffer(buffer_size, env_dict, stack_compress="a") rb2 = ReplayBuffer(buffer_size, env_dict) rb3 = ReplayBuffer(buffer_size, env_dict) a = [[1, 2, 3], [2, 3, 4], [3, 4, 5], [4, 5, 6]] rb1.add(a=a) fname="incompatible_stack_compress.npz" rb1.save_transitions(fname) rb2.load_transitions(fname) rb3.load_transitions(fname) t1 = rb1.get_all_transitions() t2 = rb2.get_all_transitions() t3 = rb3.get_all_transitions() np.testing.assert_allclose(t1["a"], t2["a"]) np.testing.assert_allclose(t1["a"], t3["a"]) def test_incompatible_unsafe_stack_compress(self): """ Load incompatible stack_compress transitions with unsafe mode """ buffer_size = 10 env_dict = {"a": {"shape": 3}} rb1 = ReplayBuffer(buffer_size, env_dict, stack_compress="a") rb2 = ReplayBuffer(buffer_size, env_dict) rb3 = ReplayBuffer(buffer_size, env_dict) a = [[1, 2, 3], [2, 3, 4], [3, 4, 5], [4, 5, 6]] rb1.add(a=a) fname="incompatible_unsafe_stack_compress.npz" rb1.save_transitions(fname, safe=False) rb2.load_transitions(fname) rb3.load_transitions(fname) t1 = rb1.get_all_transitions() t2 = rb2.get_all_transitions() t3 = rb3.get_all_transitions() np.testing.assert_allclose(t1["a"], t2["a"]) np.testing.assert_allclose(t1["a"], t3["a"]) def test_next_of_stack_compress(self): """ Load next_of and stack_compress transitions """ buffer_size = 10 env_dict = {"a": {"shape": 3}} rb1 = ReplayBuffer(buffer_size, env_dict, next_of="a", stack_compress="a") rb2 = ReplayBuffer(buffer_size, env_dict, next_of="a", stack_compress="a") rb3 = ReplayBuffer(buffer_size, env_dict, next_of="a", stack_compress="a") a = [[1, 2, 3], [2, 3, 4], [3, 4, 5], [4, 5, 6], [5, 6, 7], [6, 7, 8]] rb1.add(a=a[:-1], next_a=a[1:]) fname="next_of_stack_compress.npz" rb1.save_transitions(fname) rb2.load_transitions(fname) rb3.load_transitions(v(1,fname)) t1 = rb1.get_all_transitions() t2 = rb2.get_all_transitions() t3 = rb3.get_all_transitions() np.testing.assert_allclose(t1["a"], t2["a"]) np.testing.assert_allclose(t1["next_a"], t2["next_a"]) np.testing.assert_allclose(t1["a"], t3["a"]) np.testing.assert_allclose(t1["next_a"], t3["next_a"]) def test_unsafe_next_of_stack_compress(self): """ Load next_of and stack_compress transitions """ buffer_size = 10 env_dict = {"a": {"shape": 3}} rb1 = ReplayBuffer(buffer_size, env_dict, next_of="a", stack_compress="a") rb2 = ReplayBuffer(buffer_size, env_dict, next_of="a", stack_compress="a") rb3 = ReplayBuffer(buffer_size, env_dict, next_of="a", stack_compress="a") a = [[1, 2, 3], [2, 3, 4], [3, 4, 5], [4, 5, 6], [5, 6, 7], [6, 7, 8]] rb1.add(a=a[:-1], next_a=a[1:]) fname="unsafe_next_of_stack_compress.npz" rb1.save_transitions(fname, safe=False) rb2.load_transitions(fname) rb3.load_transitions(v(1,fname)) t1 = rb1.get_all_transitions() t2 = rb2.get_all_transitions() t3 = rb3.get_all_transitions() np.testing.assert_allclose(t1["a"], t2["a"]) np.testing.assert_allclose(t1["next_a"], t2["next_a"]) np.testing.assert_allclose(t1["a"], t3["a"]) np.testing.assert_allclose(t1["next_a"], t3["next_a"]) def test_unsafe_fulled_next_of_stack_compress(self): """ Load unsafe fulled next_of and stack_compress transitions """ buffer_size = 10 env_dict = {"a": {"shape": 3}} rb1 = ReplayBuffer(buffer_size, env_dict, next_of="a", stack_compress="a") rb2 = ReplayBuffer(buffer_size, env_dict, next_of="a", stack_compress="a") rb3 = ReplayBuffer(buffer_size, env_dict, next_of="a", stack_compress="a") a = [[1, 2, 3], [2, 3, 4], [3, 4, 5], [4, 5, 6], [5, 6, 7], [6, 7, 8], [7, 8, 9], [8, 9,10], [9,10,11], [10,11,12], [11,12,13]] rb1.add(a=a[:-1], next_a=a[1:]) fname="unsafe_fulled_next_of_stack_compress.npz" rb1.save_transitions(fname, safe=False) rb2.load_transitions(fname) rb3.load_transitions(v(1,fname)) t1 = rb1.get_all_transitions() t2 = rb2.get_all_transitions() t3 = rb3.get_all_transitions() np.testing.assert_allclose(t1["a"], t2["a"]) np.testing.assert_allclose(t1["next_a"], t2["next_a"]) np.testing.assert_allclose(t1["a"], t3["a"]) np.testing.assert_allclose(t1["next_a"], t3["next_a"]) if __name__ == "__main__": unittest.main()

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null

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1

0

1

0

null

0

7

4367bad6a4096672f162b6fae639b4481d7e2d40

2,357

py

Python

test/test_tri.py

gbeltramo/delcechfiltr

3b7a93fbe18b2fdc3238a3c716daaccb0805bc80

[ "MIT" ]

null

test/test_tri.py

gbeltramo/delcechfiltr

3b7a93fbe18b2fdc3238a3c716daaccb0805bc80

[ "MIT" ]

null

test/test_tri.py

gbeltramo/delcechfiltr

3b7a93fbe18b2fdc3238a3c716daaccb0805bc80

[ "MIT" ]

null

import numpy as np from scipy.spatial.distance import euclidean import delcechfiltr.tri def test_circumradius_2D(): n, d = 3, 2 # number points and dimension for i in range(10): np.random.seed(i) vertices = np.random.rand(n, d) radius = delcechfiltr.tri.circumradius(vertices) center = delcechfiltr.tri.circumcenter(vertices) dist = [euclidean(center, x) for x in vertices] err_msg = "mismatch between miniball center and \n" \ "miniball radius." assert all([np.isclose(radius, dist_i) or radius > dist_i for dist_i in dist]), err_msg def test_circumradius_3D(): n, d = 3, 3 # number points and dimension for i in range(10): np.random.seed(i) vertices = np.random.rand(n, d) radius = delcechfiltr.tri.circumradius(vertices) center = delcechfiltr.tri.circumcenter(vertices) dist = [euclidean(center, x) for x in vertices] err_msg = "mismatch between miniball center and \n" \ "miniball radius." assert all([np.isclose(radius, dist_i) or radius > dist_i for dist_i in dist]), err_msg def test_cech_param_2D(): n, d = 3, 2 # number points and dimension for i in range(10): np.random.seed(i) vertices = np.random.rand(n, d) radius = delcechfiltr.tri.cech_parameter(vertices) center = delcechfiltr.tri.miniball_center(vertices) dist = [euclidean(center, x) for x in vertices] err_msg = "mismatch between miniball center and \n" \ "miniball radius." assert all([np.isclose(radius, dist_i) or radius > dist_i for dist_i in dist]), err_msg def test_cech_param_3D(): n, d = 3, 3 # number points and dimension for i in range(10): np.random.seed(i) vertices = np.random.rand(n, d) radius = delcechfiltr.tri.cech_parameter(vertices) center = delcechfiltr.tri.miniball_center(vertices) dist = [euclidean(center, x) for x in vertices] err_msg = "mismatch between miniball center and \n" \ "miniball radius." assert all([np.isclose(radius, dist_i) or radius > dist_i for dist_i in dist]), err_msg

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0

null

0

1

0

1

0

null

0

7

43a994eb334120f6e88d5b8ceecff0d3278423cd

1,768

py

Python

app/suggestion/forms.py

HanaPearlman/maps4all

3ec11421adb4f01561f23abc5cab41ccb25fe0e1

[ "MIT" ]

18

2016-10-17T22:08:40.000Z

2020-07-15T14:19:12.000Z

app/suggestion/forms.py

HanaPearlman/maps4all

3ec11421adb4f01561f23abc5cab41ccb25fe0e1

[ "MIT" ]

10

2016-12-12T23:52:20.000Z

2017-03-20T01:56:22.000Z

app/suggestion/forms.py

HanaPearlman/maps4all

3ec11421adb4f01561f23abc5cab41ccb25fe0e1

[ "MIT" ]

2

2017-03-29T18:14:16.000Z

2017-08-27T15:23:27.000Z

from flask.ext.wtf import Form from wtforms.fields import SubmitField, TextField, StringField from wtforms.validators import Email, InputRequired, Length class SuggestionBasicForm(Form): contact_name = TextField( 'Contact Name', validators=[InputRequired(), Length(1, 500)] ) contact_email = TextField( 'Email', validators=[InputRequired(), Length(1, 500), Email()] ) contact_phone_number = TextField( 'Phone Number', validators=[InputRequired(), Length(1, 64)] ) name = StringField('Resource Name', validators=[ InputRequired(), Length(1, 500) ]) address = StringField('Resource Address', validators=[ InputRequired(), Length(1, 500) ]) suggestion_text = TextField('Suggestion', validators=[ InputRequired() ]) submit = SubmitField('Submit') class SuggestionAdvancedForm(Form): """ CURRENTLY NOT IN USE Intention is to use this as an advanced suggestion form allowing users to also fill out descriptor values """ contact_name = TextField( 'Contact Name', validators=[InputRequired(), Length(1, 500)] ) contact_email = TextField( 'Email', validators=[InputRequired(), Length(1, 500), Email()] ) contact_phone_number = TextField( 'Phone Number', validators=[InputRequired(), Length(1, 64)] ) name = StringField('Resource Name', validators=[ InputRequired(), Length(1, 500) ]) address = StringField('Resource Address', validators=[ InputRequired(), Length(1, 500) ]) suggestion_text = TextField('Suggestion', validators=[ InputRequired() ]) submit = SubmitField('Submit')

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null

1

0

1

0

1

0

null

0

9

43b2b3de6d28e9a785194b5d1f42e4ed41a98b8e

17,156

py

Python

dfirtrack_main/tests/location/test_location_views.py

thomas-kropeit/dfirtrack

b1e0e659af7bc8085cfe2d269ddc651f9f4ba585

[ "Apache-2.0" ]

273

2018-04-18T22:09:15.000Z

2021-06-04T09:15:48.000Z

dfirtrack_main/tests/location/test_location_views.py

stuhli/dfirtrack

9260c91e4367b36d4cb1ae7efe4e2d2452f58e6e

[ "Apache-2.0" ]

75

2018-08-31T11:05:37.000Z

2021-06-08T14:15:07.000Z

dfirtrack_main/tests/location/test_location_views.py

thomas-kropeit/dfirtrack

b1e0e659af7bc8085cfe2d269ddc651f9f4ba585

[ "Apache-2.0" ]

61

2018-11-12T22:55:48.000Z

2021-06-06T15:16:16.000Z

import urllib.parse from django.contrib.auth.models import User from django.test import TestCase from dfirtrack_main.models import Location class LocationViewTestCase(TestCase): """location view tests""" @classmethod def setUpTestData(cls): # create object Location.objects.create(location_name='location_1') # create user User.objects.create_user( username='testuser_location', password='JvXyGOHOvAEvx6xqls7r' ) def test_location_list_not_logged_in(self): """test list view""" # create url destination = '/login/?next=' + urllib.parse.quote('/location/', safe='') # get response response = self.client.get('/location/', follow=True) # compare self.assertRedirects( response, destination, status_code=302, target_status_code=200 ) def test_location_list_logged_in(self): """test list view""" # login testuser self.client.login(username='testuser_location', password='JvXyGOHOvAEvx6xqls7r') # get response response = self.client.get('/location/') # compare self.assertEqual(response.status_code, 200) def test_location_list_template(self): """test list view""" # login testuser self.client.login(username='testuser_location', password='JvXyGOHOvAEvx6xqls7r') # get response response = self.client.get('/location/') # compare self.assertTemplateUsed(response, 'dfirtrack_main/location/location_list.html') def test_location_list_get_user_context(self): """test list view""" # login testuser self.client.login(username='testuser_location', password='JvXyGOHOvAEvx6xqls7r') # get response response = self.client.get('/location/') # compare self.assertEqual(str(response.context['user']), 'testuser_location') def test_location_list_redirect(self): """test list view""" # login testuser self.client.login(username='testuser_location', password='JvXyGOHOvAEvx6xqls7r') # create url destination = urllib.parse.quote('/location/', safe='/') # get response response = self.client.get('/location', follow=True) # compare self.assertRedirects( response, destination, status_code=301, target_status_code=200 ) def test_location_detail_not_logged_in(self): """test detail view""" # get object location_1 = Location.objects.get(location_name='location_1') # create url destination = '/login/?next=' + urllib.parse.quote( '/location/' + str(location_1.location_id) + '/', safe='' ) # get response response = self.client.get( '/location/' + str(location_1.location_id) + '/', follow=True ) # compare self.assertRedirects( response, destination, status_code=302, target_status_code=200 ) def test_location_detail_logged_in(self): """test detail view""" # get object location_1 = Location.objects.get(location_name='location_1') # login testuser self.client.login(username='testuser_location', password='JvXyGOHOvAEvx6xqls7r') # get response response = self.client.get('/location/' + str(location_1.location_id) + '/') # compare self.assertEqual(response.status_code, 200) def test_location_detail_template(self): """test detail view""" # get object location_1 = Location.objects.get(location_name='location_1') # login testuser self.client.login(username='testuser_location', password='JvXyGOHOvAEvx6xqls7r') # get response response = self.client.get('/location/' + str(location_1.location_id) + '/') # compare self.assertTemplateUsed( response, 'dfirtrack_main/location/location_detail.html' ) def test_location_detail_get_user_context(self): """test detail view""" # get object location_1 = Location.objects.get(location_name='location_1') # login testuser self.client.login(username='testuser_location', password='JvXyGOHOvAEvx6xqls7r') # get response response = self.client.get('/location/' + str(location_1.location_id) + '/') # compare self.assertEqual(str(response.context['user']), 'testuser_location') def test_location_detail_redirect(self): """test detail view""" # get object location_1 = Location.objects.get(location_name='location_1') # login testuser self.client.login(username='testuser_location', password='JvXyGOHOvAEvx6xqls7r') # create url destination = urllib.parse.quote( '/location/' + str(location_1.location_id) + '/', safe='/' ) # get response response = self.client.get( '/location/' + str(location_1.location_id), follow=True ) # compare self.assertRedirects( response, destination, status_code=301, target_status_code=200 ) def test_location_add_not_logged_in(self): """test add view""" # create url destination = '/login/?next=' + urllib.parse.quote('/location/add/', safe='') # get response response = self.client.get('/location/add/', follow=True) # compare self.assertRedirects( response, destination, status_code=302, target_status_code=200 ) def test_location_add_logged_in(self): """test add view""" # login testuser self.client.login(username='testuser_location', password='JvXyGOHOvAEvx6xqls7r') # get response response = self.client.get('/location/add/') # compare self.assertEqual(response.status_code, 200) def test_location_add_template(self): """test add view""" # login testuser self.client.login(username='testuser_location', password='JvXyGOHOvAEvx6xqls7r') # get response response = self.client.get('/location/add/') # compare self.assertTemplateUsed(response, 'dfirtrack_main/generic_form.html') def test_location_add_get_user_context(self): """test add view""" # login testuser self.client.login(username='testuser_location', password='JvXyGOHOvAEvx6xqls7r') # get response response = self.client.get('/location/add/') # compare self.assertEqual(str(response.context['user']), 'testuser_location') def test_location_add_redirect(self): """test add view""" # login testuser self.client.login(username='testuser_location', password='JvXyGOHOvAEvx6xqls7r') # create url destination = urllib.parse.quote('/location/add/', safe='/') # get response response = self.client.get('/location/add', follow=True) # compare self.assertRedirects( response, destination, status_code=301, target_status_code=200 ) def test_location_add_post_redirect(self): """test add view""" # login testuser self.client.login(username='testuser_location', password='JvXyGOHOvAEvx6xqls7r') # create post data data_dict = { 'location_name': 'location_add_post_test', } # get response response = self.client.post('/location/add/', data_dict) # get object location_id = Location.objects.get( location_name='location_add_post_test' ).location_id # create url destination = urllib.parse.quote( '/location/' + str(location_id) + '/', safe='/' ) # compare self.assertRedirects( response, destination, status_code=302, target_status_code=200 ) def test_location_add_post_invalid_reload(self): """test add view""" # login testuser self.client.login(username='testuser_location', password='JvXyGOHOvAEvx6xqls7r') # create post data data_dict = {} # get response response = self.client.post('/location/add/', data_dict) # compare self.assertEqual(response.status_code, 200) def test_location_add_post_invalid_template(self): """test add view""" # login testuser self.client.login(username='testuser_location', password='JvXyGOHOvAEvx6xqls7r') # create post data data_dict = {} # get response response = self.client.post('/location/add/', data_dict) # compare self.assertTemplateUsed(response, 'dfirtrack_main/generic_form.html') def test_location_add_popup_not_logged_in(self): """test add view""" # create url destination = '/login/?next=' + urllib.parse.quote( '/location/add_popup/', safe='' ) # get response response = self.client.get('/location/add_popup/', follow=True) # compare self.assertRedirects( response, destination, status_code=302, target_status_code=200 ) def test_location_add_popup_logged_in(self): """test add view""" # login testuser self.client.login(username='testuser_location', password='JvXyGOHOvAEvx6xqls7r') # get response response = self.client.get('/location/add_popup/') # compare self.assertEqual(response.status_code, 200) def test_location_add_popup_template(self): """test add view""" # login testuser self.client.login(username='testuser_location', password='JvXyGOHOvAEvx6xqls7r') # get response response = self.client.get('/location/add_popup/') # compare self.assertTemplateUsed(response, 'dfirtrack_main/generic_form_popup.html') def test_location_add_popup_get_user_context(self): """test add view""" # login testuser self.client.login(username='testuser_location', password='JvXyGOHOvAEvx6xqls7r') # get response response = self.client.get('/location/add_popup/') # compare self.assertEqual(str(response.context['user']), 'testuser_location') def test_location_add_popup_redirect(self): """test add view""" # login testuser self.client.login(username='testuser_location', password='JvXyGOHOvAEvx6xqls7r') # create url destination = urllib.parse.quote('/location/add_popup/', safe='/') # get response response = self.client.get('/location/add_popup', follow=True) # compare self.assertRedirects( response, destination, status_code=301, target_status_code=200 ) def test_location_add_popup_post_redirect(self): """test add view""" # login testuser self.client.login(username='testuser_location', password='JvXyGOHOvAEvx6xqls7r') # create post data data_dict = { 'location_name': 'location_add_popup_post_test', } # get response response = self.client.post('/location/add_popup/', data_dict) # compare self.assertEqual(response.status_code, 200) def test_location_add_popup_post_invalid_reload(self): """test add view""" # login testuser self.client.login(username='testuser_location', password='JvXyGOHOvAEvx6xqls7r') # create post data data_dict = {} # get response response = self.client.post('/location/add_popup/', data_dict) # compare self.assertEqual(response.status_code, 200) def test_location_add_popup_post_invalid_template(self): """test add view""" # login testuser self.client.login(username='testuser_location', password='JvXyGOHOvAEvx6xqls7r') # create post data data_dict = {} # get response response = self.client.post('/location/add_popup/', data_dict) # compare self.assertTemplateUsed(response, 'dfirtrack_main/generic_form_popup.html') def test_location_edit_not_logged_in(self): """test edit view""" # get object location_1 = Location.objects.get(location_name='location_1') # create url destination = '/login/?next=' + urllib.parse.quote( '/location/' + str(location_1.location_id) + '/edit/', safe='' ) # get response response = self.client.get( '/location/' + str(location_1.location_id) + '/edit/', follow=True ) # compare self.assertRedirects( response, destination, status_code=302, target_status_code=200 ) def test_location_edit_logged_in(self): """test edit view""" # get object location_1 = Location.objects.get(location_name='location_1') # login testuser self.client.login(username='testuser_location', password='JvXyGOHOvAEvx6xqls7r') # get response response = self.client.get( '/location/' + str(location_1.location_id) + '/edit/' ) # compare self.assertEqual(response.status_code, 200) def test_location_edit_template(self): """test edit view""" # get object location_1 = Location.objects.get(location_name='location_1') # login testuser self.client.login(username='testuser_location', password='JvXyGOHOvAEvx6xqls7r') # get response response = self.client.get( '/location/' + str(location_1.location_id) + '/edit/' ) # compare self.assertTemplateUsed(response, 'dfirtrack_main/generic_form.html') def test_location_edit_get_user_context(self): """test edit view""" # get object location_1 = Location.objects.get(location_name='location_1') # login testuser self.client.login(username='testuser_location', password='JvXyGOHOvAEvx6xqls7r') # get response response = self.client.get( '/location/' + str(location_1.location_id) + '/edit/' ) # compare self.assertEqual(str(response.context['user']), 'testuser_location') def test_location_edit_redirect(self): """test edit view""" # get object location_1 = Location.objects.get(location_name='location_1') # login testuser self.client.login(username='testuser_location', password='JvXyGOHOvAEvx6xqls7r') # create url destination = urllib.parse.quote( '/location/' + str(location_1.location_id) + '/edit/', safe='/' ) # get response response = self.client.get( '/location/' + str(location_1.location_id) + '/edit', follow=True ) # compare self.assertRedirects( response, destination, status_code=301, target_status_code=200 ) def test_location_edit_post_redirect(self): """test edit view""" # login testuser self.client.login(username='testuser_location', password='JvXyGOHOvAEvx6xqls7r') # create object location_1 = Location.objects.create(location_name='location_edit_post_test_1') # create post data data_dict = { 'location_name': 'location_edit_post_test_2', } # get response response = self.client.post( '/location/' + str(location_1.location_id) + '/edit/', data_dict ) # get object location_2 = Location.objects.get(location_name='location_edit_post_test_2') # create url destination = urllib.parse.quote( '/location/' + str(location_2.location_id) + '/', safe='/' ) # compare self.assertRedirects( response, destination, status_code=302, target_status_code=200 ) def test_location_edit_post_invalid_reload(self): """test edit view""" # login testuser self.client.login(username='testuser_location', password='JvXyGOHOvAEvx6xqls7r') # get object location_id = Location.objects.get(location_name='location_1').location_id # create post data data_dict = {} # get response response = self.client.post( '/location/' + str(location_id) + '/edit/', data_dict ) # compare self.assertEqual(response.status_code, 200) def test_location_edit_post_invalid_template(self): """test edit view""" # login testuser self.client.login(username='testuser_location', password='JvXyGOHOvAEvx6xqls7r') # get object location_id = Location.objects.get(location_name='location_1').location_id # create post data data_dict = {} # get response response = self.client.post( '/location/' + str(location_id) + '/edit/', data_dict ) # compare self.assertTemplateUsed(response, 'dfirtrack_main/generic_form.html')

34.940937

88

0.625903

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0.075534

0.963585

0.944171

0.92833

0.921086

0.905245

0.886506

0

0.016011

0.260958

17,156

490

89

35.012245

0.800536

0.125437

0

0.544715

0

0.174017

0.02974

0

0.138211

1

0.142276

false

0.121951

0.01626

0

0.162602

0

null

0

1

0

null

0

1

0

7

43bae7706c2de5524789a1094d9e2eaf33b1f796

136

py

Python

slot/d/__init__.py

LorentzB/dl

c2af8498ba868abcd2ddb08eb9e4b4bb79594ba2

[ "Apache-2.0" ]

45

2018-12-30T14:19:37.000Z

2021-01-28T08:16:41.000Z

slot/d/__init__.py

LorentzB/dl

c2af8498ba868abcd2ddb08eb9e4b4bb79594ba2

[ "Apache-2.0" ]

23

2019-01-07T22:32:00.000Z

2019-10-04T10:23:02.000Z

slot/d/__init__.py

LorentzB/dl

c2af8498ba868abcd2ddb08eb9e4b4bb79594ba2

[ "Apache-2.0" ]

36

2019-01-11T21:38:02.000Z

2021-01-28T08:16:53.000Z

from slot.d.flame import * from slot.d.water import * from slot.d.wind import * from slot.d.light import * from slot.d.shadow import *

19.428571

27

0.735294

25

136

4

0.36

0.4

0.45

0.6

0

0.154412

136

6

28

22.666667

0.869565

0

1

0

true

0

1

0

1

0

1

0

null

1

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1

0

null

0

1

0

1

0

1

0

8

78fab79da27f5885b9ce431813fe41d18c011d65

24,964

py

Python

Differential_Drive.py

cfeyer/cfeyer-differential-drive-model

ee8c51f6bbbd2faaf15e4662673bcd3f938c1207

[ "MIT" ]

null

Differential_Drive.py

cfeyer/cfeyer-differential-drive-model

ee8c51f6bbbd2faaf15e4662673bcd3f938c1207

[ "MIT" ]

null

Differential_Drive.py

cfeyer/cfeyer-differential-drive-model

ee8c51f6bbbd2faaf15e4662673bcd3f938c1207

[ "MIT" ]

null

#!/usr/bin/python # # MIT License # # Copyright (c) 2017 Chris Feyerchak # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in all # copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. # import unittest from math import pi, sin, cos, sqrt class Position_Heading_Coordinates: def __init__(self, x0=0, y0=0, heading0_rads=0): self.x = float(x0) self.y = float(y0) self.hdg_rads = float(heading0_rads) # 0 = east def __eq__(self, other): dx = other.x - self.x dy = other.y - self.y dh = other.hdg_rads - self.hdg_rads #print " self: " + str(self) #print " other: " + str(other) #print " dx=" + str(dx) + ", dy=" + str(dy) + ", dh=" + str(dh) tol = 1.0e-14 return (abs(dx) <= tol) and (abs(dy) <= tol) and (abs(dh) <= tol) def __ne__(self, other): return not self.__eq__(other) def __str__(self): return "x=" + str(self.x) + ", y=" + str(self.y) + ", h=" + str(self.hdg_rads) class Differential_Drive: def __init__(self, track_width): self.track_width = float(track_width) def drive(self, initial_coords, left_travel, right_travel): final_coords = initial_coords if(left_travel == right_travel): # stopped or driving straight final_coords.x = initial_coords.x + cos(initial_coords.hdg_rads) * float(left_travel) final_coords.y = initial_coords.y + sin(initial_coords.hdg_rads) * float(left_travel) elif(left_travel == -right_travel): # rotate in place final_coords.hdg_rads = right_travel / self.track_width + initial_coords.hdg_rads elif(left_travel == 0): # rotate about left wheel turn_angle_rads = right_travel/self.track_width lw = self.left_wheel_coords(initial_coords) lw_x = lw.x lw_y = lw.y phi = turn_angle_rads x1 = initial_coords.x - lw_x y1 = initial_coords.y - lw_y x2 = cos(phi)*x1-sin(phi)*y1 y2 = sin(phi)*x1+cos(phi)*y1 final_coords.x = x2 + lw_x final_coords.y = y2 + lw_y final_coords.hdg_rads = initial_coords.hdg_rads + turn_angle_rads elif(right_travel == 0): # rotate about right wheel turn_angle_rads = -left_travel/self.track_width rw = self.right_wheel_coords(initial_coords) rw_x = rw.x rw_y = rw.y phi = turn_angle_rads x1 = initial_coords.x - rw_x y1 = initial_coords.y - rw_y x2 = cos(phi)*x1-sin(phi)*y1 y2 = sin(phi)*x1+cos(phi)*y1 final_coords.x = x2 + rw_x final_coords.y = y2 + rw_y final_coords.hdg_rads = initial_coords.hdg_rads + turn_angle_rads else: raise Exception("Not implemented for this (left_travel, right_travel)") return final_coords def left_wheel_coords(self, p): x = -(self.track_width/2.0) * sin(p.hdg_rads) + p.x y = (self.track_width/2.0) * cos(p.hdg_rads) + p.y h = p.hdg_rads return Position_Heading_Coordinates(x,y,h) def right_wheel_coords(self, p): x = (self.track_width/2.0) * sin(p.hdg_rads) + p.x y = -(self.track_width/2.0) * cos(p.hdg_rads) + p.y h = p.hdg_rads return Position_Heading_Coordinates(x,y,h) PHC = Position_Heading_Coordinates DD = Differential_Drive class Test_PHC(unittest.TestCase): def test_default_ctor(self): coords = PHC() self.assertEqual(coords.x, 0) self.assertEqual(coords.y, 0) self.assertEqual(coords.hdg_rads, 0) def test_custom_ctor(self): coords = PHC(1,2,3) self.assertEqual(coords.x, 1) self.assertEqual(coords.y, 2) self.assertEqual(coords.hdg_rads, 3) def test_default_objects_equal(self): coords_1 = PHC() coords_2 = PHC() self.assertEqual(coords_1, coords_2) def test_custom_objects_equal(self): coords_1 = PHC(1,2,3) coords_2 = PHC(1,2,3) self.assertEqual(coords_1, coords_2) def test_custom_objects_x_not_equal(self): coords_1 = PHC(0,0,0) coords_2 = PHC(1,0,0) self.assertNotEqual(coords_1, coords_2) self.assertNotEqual(coords_2, coords_1) def test_custom_objects_y_not_equal(self): coords_1 = PHC(0,0,0) coords_2 = PHC(0,1,0) self.assertNotEqual(coords_1, coords_2) self.assertNotEqual(coords_2, coords_1) self.assertNotEqual(PHC(0,0,0), PHC(0,0,pi/2)) self.assertNotEqual(PHC(0,0,0), PHC(0,0,pi)) self.assertNotEqual(PHC(0,0,pi/2), PHC(0,0,pi)) def test_custom_objects_heading_not_equal(self): coords_1 = PHC(0,0,0) coords_2 = PHC(0,0,1) self.assertNotEqual(coords_1, coords_2) self.assertNotEqual(coords_2, coords_1) class Position_Heading_Coordinates_Test_Case(unittest.TestCase): def assertEqualPHC(self, actual, expected): x_error = abs(actual.x - expected.x) y_error = abs(actual.y - expected.y) heading_error = abs(actual.hdg_rads - expected.hdg_rads) tol = 1.0e-14 msg = "expected: " + str(expected) + "\n" + \ "actual: " + str(actual) is_fail = False if x_error > tol: is_fail = True msg += "\nassertion fail: x" if y_error > tol: is_fail = True msg += "\nassertion fail: y" if heading_error > tol: is_fail = True msg += "\nassertion fail: hdg_rads" if is_fail: self.fail(msg) class Test_DD(Position_Heading_Coordinates_Test_Case): def test_stopped(self): dd = DD(1) self.assertEqual(dd.drive(PHC(), 0, 0), PHC()) self.assertEqual(dd.drive(PHC(1,2,3), 0, 0), PHC(1,2,3)) pass def test_drive_forward_straight_east(self): dd = DD(1) self.assertEqual(dd.drive(PHC(0,0,0), 1, 1), PHC(1,0,0)) self.assertEqual(dd.drive(PHC(1,2,0), 2, 2), PHC(3,2,0)) self.assertEqual(dd.drive(PHC(-3,4,0), 4, 4), PHC(1,4,0)) self.assertEqual(dd.drive(PHC(-5,-6,0), 8, 8), PHC(3,-6,0)) self.assertEqual(dd.drive(PHC(7,-8,0), 16, 16), PHC(23,-8,0)) def test_drive_backward_straight_east(self): dd = DD(1) self.assertEqual(dd.drive(PHC(0,0,pi), -1, -1), PHC(1,0,pi)) self.assertEqual(dd.drive(PHC(1,2,pi), -2, -2), PHC(3,2,pi)) self.assertEqual(dd.drive(PHC(-3,4,pi), -4, -4), PHC(1,4,pi)) self.assertEqual(dd.drive(PHC(-5,-6,pi), -8, -8), PHC(3,-6,pi)) self.assertEqual(dd.drive(PHC(7,-8,pi), -16, -16), PHC(23,-8,pi)) def test_drive_forward_straight_west(self): dd = DD(1) self.assertEqual(dd.drive(PHC(0,0,pi), 1, 1), PHC(-1,0,pi)) self.assertEqual(dd.drive(PHC(1,2,pi), 2, 2), PHC(-1,2,pi)) self.assertEqual(dd.drive(PHC(-3,4,pi), 4, 4), PHC(-7,4,pi)) self.assertEqual(dd.drive(PHC(-5,-6,pi), 8, 8), PHC(-13,-6,pi)) self.assertEqual(dd.drive(PHC(7,-8,pi), 16, 16), PHC(-9,-8,pi)) def test_drive_backward_straight_west(self): dd = DD(1) self.assertEqual(dd.drive(PHC(0,0,0), -1, -1), PHC(-1,0,0)) self.assertEqual(dd.drive(PHC(1,2,0), -2, -2), PHC(-1,2,0)) self.assertEqual(dd.drive(PHC(-3,4,0), -4, -4), PHC(-7,4,0)) self.assertEqual(dd.drive(PHC(-5,-6,0), -8, -8), PHC(-13,-6,0)) self.assertEqual(dd.drive(PHC(7,-8,0), -16, -16), PHC(-9,-8,0)) def test_drive_forward_straight_north(self): dd = DD(1) self.assertEqual(dd.drive(PHC(0,0,pi/2), 1, 1), PHC(0,1,pi/2)) self.assertEqual(dd.drive(PHC(1,2,pi/2), 2, 2), PHC(1,4,pi/2)) self.assertEqual(dd.drive(PHC(-3,4,pi/2), 4, 4), PHC(-3,8,pi/2)) self.assertEqual(dd.drive(PHC(-5,-6,pi/2), 8, 8), PHC(-5,2,pi/2)) self.assertEqual(dd.drive(PHC(7,-8,pi/2), 16, 16), PHC(7,8,pi/2)) def test_drive_backward_straight_north(self): dd = DD(1) self.assertEqual(dd.drive(PHC(0,0,-pi/2), -1, -1), PHC(0,1,-pi/2)) self.assertEqual(dd.drive(PHC(1,2,-pi/2), -2, -2), PHC(1,4,-pi/2)) self.assertEqual(dd.drive(PHC(-3,4,-pi/2), -4, -4), PHC(-3,8,-pi/2)) self.assertEqual(dd.drive(PHC(-5,-6,-pi/2), -8, -8), PHC(-5,2,-pi/2)) self.assertEqual(dd.drive(PHC(7,-8,-pi/2), -16, -16), PHC(7,8,-pi/2)) def test_drive_forward_straight_south(self): dd = DD(1) self.assertEqual(dd.drive(PHC(0,0,-pi/2), 1, 1), PHC(0,-1,-pi/2)) self.assertEqual(dd.drive(PHC(1,2,-pi/2), 2, 2), PHC(1,0,-pi/2)) self.assertEqual(dd.drive(PHC(-3,4,-pi/2), 4, 4), PHC(-3,0,-pi/2)) self.assertEqual(dd.drive(PHC(-5,-6,-pi/2), 8, 8), PHC(-5,-14,-pi/2)) self.assertEqual(dd.drive(PHC(7,-8,-pi/2), 16, 16), PHC(7,-24,-pi/2)) def test_drive_backward_straight_south(self): dd = DD(1) self.assertEqual(dd.drive(PHC(0,0,pi/2), -1, -1), PHC(0,-1,pi/2)) self.assertEqual(dd.drive(PHC(1,2,pi/2), -2, -2), PHC(1,0,pi/2)) self.assertEqual(dd.drive(PHC(-3,4,pi/2), -4, -4), PHC(-3,0,pi/2)) self.assertEqual(dd.drive(PHC(-5,-6,pi/2), -8, -8), PHC(-5,-14,pi/2)) self.assertEqual(dd.drive(PHC(7,-8,pi/2), -16, -16), PHC(7,-24,pi/2)) def test_drive_forward_straight_northeast(self): dd = DD(1) self.assertEqual(dd.drive(PHC(0,0,pi/4), 1, 1), PHC(sqrt(2)/2,sqrt(2)/2,pi/4)) self.assertEqual(dd.drive(PHC(0,0,pi/6), 1, 1), PHC(sqrt(3)/2,0.5,pi/6)) self.assertEqual(dd.drive(PHC(0,0,pi/3), 1, 1), PHC(0.5,sqrt(3)/2,pi/3)) self.assertEqual(dd.drive(PHC(1,2,pi/4), 2, 2), PHC(1+2*sqrt(2)/2,2+2*sqrt(2)/2,pi/4)) self.assertEqual(dd.drive(PHC(-3,4,pi/4), 4, 4), PHC(-3+4*sqrt(2)/2,4+4*sqrt(2)/2,pi/4)) self.assertEqual(dd.drive(PHC(-5,-6,pi/4), 8, 8), PHC(-5+8*sqrt(2)/2,-6+8*sqrt(2)/2,pi/4)) self.assertEqual(dd.drive(PHC(7,-8,pi/4), 16, 16), PHC(7+16*sqrt(2)/2,-8+16*sqrt(2)/2,pi/4)) def test_drive_backward_straight_northeast(self): dd = DD(1) self.assertEqual(dd.drive(PHC(0,0,5*pi/4), -1, -1), PHC(sqrt(2)/2,sqrt(2)/2,5*pi/4)) self.assertEqual(dd.drive(PHC(0,0,7*pi/6), -1, -1), PHC(sqrt(3)/2,0.5,7*pi/6)) self.assertEqual(dd.drive(PHC(0,0,4*pi/3), -1, -1), PHC(0.5,sqrt(3)/2,4*pi/3)) self.assertEqual(dd.drive(PHC(1,2,5*pi/4), -2, -2), PHC(1+2*sqrt(2)/2,2+2*sqrt(2)/2,5*pi/4)) self.assertEqual(dd.drive(PHC(-3,4,5*pi/4), -4, -4), PHC(-3+4*sqrt(2)/2,4+4*sqrt(2)/2,5*pi/4)) self.assertEqual(dd.drive(PHC(-5,-6,5*pi/4), -8, -8), PHC(-5+8*sqrt(2)/2,-6+8*sqrt(2)/2,5*pi/4)) self.assertEqual(dd.drive(PHC(7,-8,5*pi/4), -16, -16), PHC(7+16*sqrt(2)/2,-8+16*sqrt(2)/2,5*pi/4)) def test_drive_forward_straight_northwest(self): dd = DD(1) self.assertEqual(dd.drive(PHC(0,0,3*pi/4), 1, 1), PHC(-sqrt(2)/2,sqrt(2)/2,3*pi/4)) self.assertEqual(dd.drive(PHC(0,0,5*pi/6), 1, 1), PHC(-sqrt(3)/2,0.5,5*pi/6)) self.assertEqual(dd.drive(PHC(0,0,2*pi/3), 1, 1), PHC(-0.5,sqrt(3)/2,2*pi/3)) def test_drive_backward_straight_northwest(self): dd = DD(1) self.assertEqual(dd.drive(PHC(0,0,7*pi/4), -1, -1), PHC(-sqrt(2)/2,sqrt(2)/2,7*pi/4)) self.assertEqual(dd.drive(PHC(0,0,11*pi/6), -1, -1), PHC(-sqrt(3)/2,0.5,11*pi/6)) self.assertEqual(dd.drive(PHC(0,0,5*pi/3), -1, -1), PHC(-0.5,sqrt(3)/2,5*pi/3)) def test_drive_forward_straight_southwest(self): dd = DD(1) self.assertEqual(dd.drive(PHC(0,0,5*pi/4), 1, 1), PHC(-sqrt(2)/2,-sqrt(2)/2,5*pi/4)) def test_drive_backward_straight_southwest(self): dd = DD(1) self.assertEqual(dd.drive(PHC(0,0,pi/4), -1, -1), PHC(-sqrt(2)/2,-sqrt(2)/2,pi/4)) def test_drive_forward_straight_southeast(self): dd = DD(1) self.assertEqual(dd.drive(PHC(0,0,-pi/4), 1, 1), PHC(sqrt(2)/2,-sqrt(2)/2,-pi/4)) def test_drive_backward_straight_southeast(self): dd = DD(1) self.assertEqual(dd.drive(PHC(0,0,3*pi/4), -1, -1), PHC(sqrt(2)/2,-sqrt(2)/2,3*pi/4)) def test_rotate_in_place_counterclockwise_from_zero_heading(self): dd1 = DD(1) self.assertEqual(dd1.drive(PHC(0,0,0), -pi/2, pi/2), PHC(0,0,pi/2)) self.assertEqual(dd1.drive(PHC(1,2,0), -pi, pi), PHC(1,2,pi)) self.assertEqual(dd1.drive(PHC(3,4,0), -3*pi/2, 3*pi/2), PHC(3,4,3*pi/2)) dd2 = DD(2) self.assertEqual(dd2.drive(PHC(0,0,0), -2*pi/2, 2*pi/2 ), PHC(0,0,pi/2)) self.assertEqual(dd2.drive(PHC(1,2,0), -2*pi, 2*pi ), PHC(1,2,pi)) self.assertEqual(dd2.drive(PHC(3,4,0), -2*3*pi/2, 2*3*pi/2), PHC(3,4,3*pi/2)) def test_rotate_in_place_clockwise_from_zero_heading(self): dd1 = DD(1) self.assertEqual(dd1.drive(PHC(0,0,0), pi/2, -pi/2), PHC(0,0,-pi/2)) self.assertEqual(dd1.drive(PHC(1,2,0), pi, -pi), PHC(1,2,-pi)) self.assertEqual(dd1.drive(PHC(3,4,0), 3*pi/2, -3*pi/2), PHC(3,4,-3*pi/2)) dd2 = DD(2) self.assertEqual(dd2.drive(PHC(0,0,0), 2*pi/2, -2*pi/2 ), PHC(0,0,-pi/2)) self.assertEqual(dd2.drive(PHC(1,2,0), 2*pi, -2*pi ), PHC(1,2,-pi)) self.assertEqual(dd2.drive(PHC(3,4,0), 2*3*pi/2, -2*3*pi/2), PHC(3,4,-3*pi/2)) def test_rotate_in_place_counterclockwise_from_nonzero_heading(self): dd1 = DD(1) self.assertEqual(dd1.drive(PHC(0,0,1), -pi/2, pi/2), PHC(0,0,pi/2+1)) self.assertEqual(dd1.drive(PHC(1,2,2), -pi, pi), PHC(1,2,pi+2)) self.assertEqual(dd1.drive(PHC(3,4,3), -3*pi/2, 3*pi/2), PHC(3,4,3*pi/2+3)) dd2 = DD(2) self.assertEqual(dd2.drive(PHC(0,0,-1), -2*pi/2, 2*pi/2 ), PHC(0,0,pi/2-1)) self.assertEqual(dd2.drive(PHC(1,2,-2), -2*pi, 2*pi ), PHC(1,2,pi-2)) self.assertEqual(dd2.drive(PHC(3,4,-3), -2*3*pi/2, 2*3*pi/2), PHC(3,4,3*pi/2-3)) def test_rotate_in_place_clockwise_from_zero_nonheading(self): dd1 = DD(1) self.assertEqual(dd1.drive(PHC(0,0,1), pi/2, -pi/2), PHC(0,0,-pi/2+1)) self.assertEqual(dd1.drive(PHC(1,2,2), pi, -pi), PHC(1,2,-pi+2)) self.assertEqual(dd1.drive(PHC(3,4,3), 3*pi/2, -3*pi/2), PHC(3,4,-3*pi/2+3)) dd2 = DD(2) self.assertEqual(dd2.drive(PHC(0,0,-1), 2*pi/2, -2*pi/2 ), PHC(0,0,-pi/2-1)) self.assertEqual(dd2.drive(PHC(1,2,-2), 2*pi, -2*pi ), PHC(1,2,-pi-2)) self.assertEqual(dd2.drive(PHC(3,4,-3), 2*3*pi/2, -2*3*pi/2), PHC(3,4,-3*pi/2-3)) def test_left_wheel_coords(self): dd1 = DD(1) self.assertEqual(dd1.left_wheel_coords(PHC(0,0,0)), PHC(0,0.5,0)) self.assertEqual(dd1.left_wheel_coords(PHC(0,0,pi/2)), PHC(-0.5,0,pi/2)) self.assertEqual(dd1.left_wheel_coords(PHC(0,0,pi)), PHC(0,-0.5,pi)) self.assertEqual(dd1.left_wheel_coords(PHC(0,0,3*pi/2)), PHC(0.5,0,3*pi/2)) self.assertEqual(dd1.left_wheel_coords(PHC(1,2,0)), PHC(0+1,0.5+2,0)) self.assertEqual(dd1.left_wheel_coords(PHC(-3,4,pi/2)), PHC(-0.5-3,0+4,pi/2)) self.assertEqual(dd1.left_wheel_coords(PHC(-5,-6,pi)), PHC(0-5,-0.5-6,pi)) self.assertEqual(dd1.left_wheel_coords(PHC(7,-8,3*pi/2)), PHC(0.5+7,0-8,3*pi/2)) self.assertEqualPHC(dd1.left_wheel_coords(PHC(1,-1.5,0)), PHC(1,-1.0,0)) dd2 = DD(2) self.assertEqual(dd2.left_wheel_coords(PHC(0,0,0)), PHC(0,1,0)) self.assertEqual(dd2.left_wheel_coords(PHC(0,0,pi/2)), PHC(-1,0,pi/2)) self.assertEqual(dd2.left_wheel_coords(PHC(0,0,pi)), PHC(0,-1,pi)) self.assertEqual(dd2.left_wheel_coords(PHC(0,0,3*pi/2)), PHC(1,0,3*pi/2)) self.assertEqual(dd2.left_wheel_coords(PHC(1,2,0)), PHC(0+1,1+2,0)) self.assertEqual(dd2.left_wheel_coords(PHC(-3,4,pi/2)), PHC(-1-3,0+4,pi/2)) self.assertEqual(dd2.left_wheel_coords(PHC(-5,-6,pi)), PHC(0-5,-1-6,pi)) self.assertEqual(dd2.left_wheel_coords(PHC(7,-8,3*pi/2)), PHC(1+7,0-8,3*pi/2)) def test_right_wheel_coords(self): dd1 = DD(1) self.assertEqual(dd1.right_wheel_coords(PHC(0,0,0)), PHC(0,-0.5,0)) self.assertEqual(dd1.right_wheel_coords(PHC(0,0,pi/2)), PHC(0.5,0,pi/2)) self.assertEqual(dd1.right_wheel_coords(PHC(0,0,pi)), PHC(0,0.5,pi)) self.assertEqual(dd1.right_wheel_coords(PHC(0,0,3*pi/2)), PHC(-0.5,0,3*pi/2)) self.assertEqual(dd1.right_wheel_coords(PHC(1,2,0)), PHC(0+1,-0.5+2,0)) self.assertEqual(dd1.right_wheel_coords(PHC(-3,4,pi/2)), PHC(0.5-3,0+4,pi/2)) self.assertEqual(dd1.right_wheel_coords(PHC(-5,-6,pi)), PHC(0-5,0.5-6,pi)) self.assertEqual(dd1.right_wheel_coords(PHC(7,-8,3*pi/2)), PHC(-0.5+7,0-8,3*pi/2)) dd2 = DD(2) self.assertEqual(dd2.right_wheel_coords(PHC(0,0,0)), PHC(0,-1,0)) self.assertEqual(dd2.right_wheel_coords(PHC(0,0,pi/2)), PHC(1,0,pi/2)) self.assertEqual(dd2.right_wheel_coords(PHC(0,0,pi)), PHC(0,1,pi)) self.assertEqual(dd2.right_wheel_coords(PHC(0,0,3*pi/2)), PHC(-1,0,3*pi/2)) self.assertEqual(dd2.right_wheel_coords(PHC(1,2,0)), PHC(0+1,-1+2,0)) self.assertEqual(dd2.right_wheel_coords(PHC(-3,4,pi/2)), PHC(1-3,0+4,pi/2)) self.assertEqual(dd2.right_wheel_coords(PHC(-5,-6,pi)), PHC(0-5,1-6,pi)) self.assertEqual(dd2.right_wheel_coords(PHC(7,-8,3*pi/2)), PHC(-1+7,0-8,3*pi/2)) def test_rotate_about_left_wheel_counterclockwise(self): dd1 = DD(1) self.assertEqualPHC(dd1.drive(PHC(0,-0.5,0),0,pi/2), PHC(0.5,0,pi/2)) self.assertEqualPHC(dd1.drive(PHC(0.5,0,pi/2),0,pi/2), PHC(0,0.5,pi)) self.assertEqualPHC(dd1.drive(PHC(0,0.5,pi),0,pi/2), PHC(-0.5,0,3*pi/2)) self.assertEqualPHC(dd1.drive(PHC(-0.5,0,3*pi/2),0,pi/2), PHC(0,-0.5,2*pi)) self.assertEqualPHC(dd1.drive(PHC(0.5,0,pi/2),0,pi/4), PHC(sqrt(2)/4,sqrt(2)/4,3*pi/4)) self.assertEqualPHC(dd1.drive(PHC(0+1,-0.5+2,0),0,pi/2), PHC(0.5+1,0+2,pi/2)) self.assertEqualPHC(dd1.drive(PHC(0.5+3,0+4,pi/2),0,pi/2), PHC(0+3,0.5+4,pi)) self.assertEqualPHC(dd1.drive(PHC(0+5,0.5+6,pi),0,pi/2), PHC(-0.5+5,0+6,3*pi/2)) self.assertEqualPHC(dd1.drive(PHC(-0.5+7,0+8,3*pi/2),0,pi/2), PHC(0+7,-0.5+8,2*pi)) self.assertEqualPHC(dd1.drive(PHC(0.5+9,0+10,pi/2),0,pi/4), PHC(sqrt(2)/4+9,sqrt(2)/4+10,3*pi/4)) dd2 = DD(2) self.assertEqualPHC(dd2.drive(PHC(0,-1,0),0,pi), PHC(1,0,pi/2)) self.assertEqualPHC(dd2.drive(PHC(1,0,pi/2),0,pi), PHC(0,1,pi)) self.assertEqualPHC(dd2.drive(PHC(0,1,pi),0,pi), PHC(-1,0,3*pi/2)) self.assertEqualPHC(dd2.drive(PHC(-1,0,3*pi/2),0,pi), PHC(0,-1,2*pi)) self.assertEqualPHC(dd2.drive(PHC(1,0,pi/2),0,pi/2), PHC(sqrt(2)/2,sqrt(2)/2,3*pi/4)) self.assertEqualPHC(dd2.drive(PHC(0+1,-1+2,0),0,pi), PHC(1+1,0+2,pi/2)) self.assertEqualPHC(dd2.drive(PHC(1+3,0+4,pi/2),0,pi), PHC(0+3,1+4,pi)) self.assertEqualPHC(dd2.drive(PHC(0+5,1+6,pi),0,pi), PHC(-1+5,0+6,3*pi/2)) self.assertEqualPHC(dd2.drive(PHC(-1+7,0+8,3*pi/2),0,pi), PHC(0+7,-1+8,2*pi)) self.assertEqualPHC(dd2.drive(PHC(1+9,0+10,pi/2),0,pi/2), PHC(sqrt(2)/2+9,sqrt(2)/2+10,3*pi/4)) def test_rotate_about_left_wheel_clockwise(self): dd1 = DD(1) self.assertEqualPHC(dd1.drive(PHC(0,-0.5,0),0,-pi/2), PHC(-0.5,0,-pi/2)) self.assertEqualPHC(dd1.drive(PHC(0.5,0,pi/2),0,-pi/2), PHC(0,-0.5,0)) self.assertEqualPHC(dd1.drive(PHC(0,0.5,pi),0,-pi/2), PHC(0.5,0,pi/2)) self.assertEqualPHC(dd1.drive(PHC(-0.5,0,3*pi/2),0,-pi/2), PHC(0,0.5,pi)) self.assertEqualPHC(dd1.drive(PHC(0.5,0,pi/2),0,-pi/4), PHC(sqrt(2)/4,-sqrt(2)/4,pi/4)) self.assertEqualPHC(dd1.drive(PHC(0+1,-0.5+2,0),0,-pi/2), PHC(-0.5+1,0+2,-pi/2)) self.assertEqualPHC(dd1.drive(PHC(0.5+3,0+4,pi/2),0,-pi/2), PHC(0+3,-0.5+4,0)) self.assertEqualPHC(dd1.drive(PHC(0+5,0.5+6,pi),0,-pi/2), PHC(0.5+5,0+6,pi/2)) self.assertEqualPHC(dd1.drive(PHC(-0.5+7,0+8,3*pi/2),0,-pi/2), PHC(0+7,0.5+8,pi)) self.assertEqualPHC(dd1.drive(PHC(0.5+9,0+10,pi/2),0,-pi/4), PHC(sqrt(2)/4+9,-sqrt(2)/4+10,pi/4)) dd2 = DD(2) self.assertEqualPHC(dd2.drive(PHC(0,-1,0),0,-pi), PHC(-1,0,-pi/2)) self.assertEqualPHC(dd2.drive(PHC(1,0,pi/2),0,-pi), PHC(0,-1,0)) self.assertEqualPHC(dd2.drive(PHC(0,1,pi),0,-pi), PHC(1,0,pi/2)) self.assertEqualPHC(dd2.drive(PHC(-1,0,3*pi/2),0,-pi), PHC(0,1,pi)) self.assertEqualPHC(dd2.drive(PHC(1,0,pi/2),0,-pi/2), PHC(sqrt(2)/2,-sqrt(2)/2,pi/4)) self.assertEqualPHC(dd2.drive(PHC(0+1,-1+2,0),0,-pi), PHC(-1+1,0+2,-pi/2)) self.assertEqualPHC(dd2.drive(PHC(1+3,0+4,pi/2),0,-pi), PHC(0+3,-1+4,0)) self.assertEqualPHC(dd2.drive(PHC(0+5,1+6,pi),0,-pi), PHC(1+5,0+6,pi/2)) self.assertEqualPHC(dd2.drive(PHC(-1+7,0+8,3*pi/2),0,-pi), PHC(0+7,1+8,pi)) self.assertEqualPHC(dd2.drive(PHC(1+9,0+10,pi/2),0,-pi/2), PHC(sqrt(2)/2+9,-sqrt(2)/2+10,pi/4)) def test_rotate_about_right_wheel_clockwise(self): dd1 = DD(1) self.assertEqualPHC(dd1.drive(PHC(0,0.5,0),pi/2,0), PHC(0.5,0,-pi/2)) self.assertEqualPHC(dd1.drive(PHC(-0.5,0,pi/2),pi/2,0), PHC(0,0.5,0)) self.assertEqualPHC(dd1.drive(PHC(0,-0.5,pi),pi/2,0), PHC(-0.5,0,pi/2)) self.assertEqualPHC(dd1.drive(PHC(0.5,0,-pi/2),pi/2,0), PHC(0,-0.5,-pi)) self.assertEqualPHC(dd1.drive(PHC(-0.5,0,pi/2),pi/4,0), PHC(-sqrt(2)/4,sqrt(2)/4,pi/4)) self.assertEqualPHC(dd1.drive(PHC(0+1,0+2.5,0),pi/2,0), PHC(0.5+1,0+2,-pi/2)) self.assertEqualPHC(dd1.drive(PHC(-0.5+3,0+4,pi/2),pi/2,0), PHC(0+3,0+4.5,0)) self.assertEqualPHC(dd1.drive(PHC(0+5,-0.5+6,pi),pi/2,0), PHC(-0.5+5,0+6,pi/2)) self.assertEqualPHC(dd1.drive(PHC(0.5+7,0+8,-pi/2),pi/2,0), PHC(0+7,-0.5+8,-pi)) self.assertEqualPHC(dd1.drive(PHC(-0.5+9,0+10,pi/2),pi/4,0), PHC(-sqrt(2)/4+9,sqrt(2)/4+10,pi/4)) dd2 = DD(2) self.assertEqualPHC(dd2.drive(PHC(0,1,0),pi,0), PHC(1,0,-pi/2)) self.assertEqualPHC(dd2.drive(PHC(-1,0,pi/2),pi,0), PHC(0,1,0)) self.assertEqualPHC(dd2.drive(PHC(0,-1,pi),pi,0), PHC(-1,0,pi/2)) self.assertEqualPHC(dd2.drive(PHC(1,0,-pi/2),pi,0), PHC(0,-1,-pi)) self.assertEqualPHC(dd2.drive(PHC(-1,0,pi/2),pi/2,0), PHC(-sqrt(2)/2,sqrt(2)/2,pi/4)) self.assertEqualPHC(dd2.drive(PHC(0+1,1+2,0),pi,0), PHC(1+1,0+2,-pi/2)) self.assertEqualPHC(dd2.drive(PHC(-1+3,0+4,pi/2),pi,0), PHC(0+3,1+4,0)) self.assertEqualPHC(dd2.drive(PHC(0+5,-1+6,pi),pi,0), PHC(-1+5,0+6,pi/2)) self.assertEqualPHC(dd2.drive(PHC(1+7,0+8,-pi/2),pi,0), PHC(0+7,-1+8,-pi)) self.assertEqualPHC(dd2.drive(PHC(-1+9,0+10,pi/2),pi/2,0), PHC(-sqrt(2)/2+9,sqrt(2)/2+10,pi/4)) def test_rotate_about_right_wheel_counterclockwise(self): dd1 = DD(1) self.assertEqualPHC(dd1.drive(PHC(0,0.5,0),-pi/2,0), PHC(-0.5,0,pi/2)) self.assertEqualPHC(dd1.drive(PHC(-0.5,0,pi/2),-pi/2,0), PHC(0,-0.5,pi)) self.assertEqualPHC(dd1.drive(PHC(0,-0.5,pi),-pi/2,0), PHC(0.5,0,3*pi/2)) self.assertEqualPHC(dd1.drive(PHC(0.5,0,-pi/2),-pi/2,0), PHC(0,0.5,0)) self.assertEqualPHC(dd1.drive(PHC(-0.5,0,pi/2),-pi/4,0), PHC(-sqrt(2)/4,-sqrt(2)/4,3*pi/4)) self.assertEqualPHC(dd1.drive(PHC(0+1,0.5+2,0),-pi/2,0), PHC(-0.5+1,0+2,pi/2)) self.assertEqualPHC(dd1.drive(PHC(-0.5+3,0+4,pi/2),-pi/2,0), PHC(0+3,-0.5+4,pi)) self.assertEqualPHC(dd1.drive(PHC(0+5,-0.5+6,pi),-pi/2,0), PHC(0.5+5,0+6,3*pi/2)) self.assertEqualPHC(dd1.drive(PHC(0.5+7,0+8,-pi/2),-pi/2,0), PHC(0+7,0.5+8,0)) self.assertEqualPHC(dd1.drive(PHC(-0.5+9,0+10,pi/2),-pi/4,0), PHC(-sqrt(2)/4+9,-sqrt(2)/4+10,3*pi/4)) dd2 = DD(2) self.assertEqualPHC(dd2.drive(PHC(0,1,0),-pi,0), PHC(-1,0,pi/2)) self.assertEqualPHC(dd2.drive(PHC(-1,0,pi/2),-pi,0), PHC(0,-1,pi)) self.assertEqualPHC(dd2.drive(PHC(0,-1,pi),-pi,0), PHC(1,0,3*pi/2)) self.assertEqualPHC(dd2.drive(PHC(1,0,-pi/2),-pi,0), PHC(0,1,0)) self.assertEqualPHC(dd2.drive(PHC(-1,0,pi/2),-pi/2,0), PHC(-sqrt(2)/2,-sqrt(2)/2,3*pi/4)) self.assertEqualPHC(dd2.drive(PHC(0+1,1+2,0),-pi,0), PHC(-1+1,0+2,pi/2)) self.assertEqualPHC(dd2.drive(PHC(-1+3,0+4,pi/2),-pi,0), PHC(0+3,-1+4,pi)) self.assertEqualPHC(dd2.drive(PHC(0+5,-1+6,pi),-pi,0), PHC(1+5,0+6,3*pi/2)) self.assertEqualPHC(dd2.drive(PHC(1+7,0+8,-pi/2),-pi,0), PHC(0+7,1+8,0)) self.assertEqualPHC(dd2.drive(PHC(-1+9,0+10,pi/2),-pi/2,0), PHC(-sqrt(2)/2+9,-sqrt(2)/2+10,3*pi/4)) if __name__ == '__main__': unittest.main()

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0.053885

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108

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null

0

1

0

null

0

1

0

8

6029b9d38644c9147e22c6268f4926b133f26c89

1,510

py

Python

necropsy/models.py

rodrigoncalves/anato-hub

bb6c5a39bfbc247476a6ef4fe410c972b5e561c4

[ "MIT" ]

null

necropsy/models.py

rodrigoncalves/anato-hub

bb6c5a39bfbc247476a6ef4fe410c972b5e561c4

[ "MIT" ]

null

necropsy/models.py

rodrigoncalves/anato-hub

bb6c5a39bfbc247476a6ef4fe410c972b5e561c4

[ "MIT" ]

null

# -*- coding: utf-8 -*- from django.db import models from exam.models import Exam, ReportStatus class NecropsyStatus(models.Model): description = models.CharField(max_length=50) class Necropsy(models.Model): examination_time = models.TimeField(null=True, blank=True) clinical_information = models.TextField(null=True, blank=True) main_disease = models.TextField(null=True, blank=True) consequential_final_disease = models.TextField(null=True, blank=True) contributors_disease = models.TextField(null=True, blank=True) consequential_disease = models.TextField(null=True, blank=True) other_diseases = models.TextField(null=True, blank=True) note = models.TextField(null=True, blank=True) footer = models.TextField(null=True, blank=True) status = models.ForeignKey(NecropsyStatus, default=1) exam = models.ForeignKey(Exam) class NecropsyReport(models.Model): clinical_information = models.TextField(null=True, blank=True) main_disease = models.TextField(null=True, blank=True) consequential_final_disease = models.TextField(null=True, blank=True) contributors_disease = models.TextField(null=True, blank=True) consequential_disease = models.TextField(null=True, blank=True) other_diseases = models.TextField(null=True, blank=True) note = models.TextField(null=True, blank=True) footer = models.TextField(null=True, blank=True) status = models.ForeignKey(ReportStatus, default=1) necropsy = models.ForeignKey(Necropsy)

41.944444

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1,510

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0.256661

0.701599

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0.13245

1,510

35

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null

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8

60317146635eeaae800b5fae8827d40a9e2e4b9f

3,419

py

Python

prs_lib/draft.py

Press-One/prs-lib-py

5f088d58993a93bee660a27579966aa015606c9a

[ "MIT" ]

1

2019-07-27T06:41:18.000Z

prs_lib/draft.py

Press-One/prs-lib-py

5f088d58993a93bee660a27579966aa015606c9a

[ "MIT" ]

2

2019-07-27T07:47:05.000Z

2019-08-28T13:24:40.000Z

prs_lib/draft.py

Press-One/prs-lib-py

5f088d58993a93bee660a27579966aa015606c9a

[ "MIT" ]

1

2019-07-03T14:23:29.000Z

from .request import request from . import validator __all__ = ['Draft', ] class Draft: def __init__(self, config): """ :param config: PRSConfig """ self.config = config def create(self, draft): """ :param draft: dict { 'title', str, 'content': str, 'mime_type': str, 'source': str, 'origin_url': str, 'project_id': str } """ keys = ['title', 'content', 'mime_type', ] validator.check_dict_and_assert('draft', draft, keys) auth_opts = self.config.get_auth_opts() data = { 'title': draft['title'], 'content': draft['content'], 'mimeType': draft['mime_type'], } if draft.get('source'): data['source'] = draft['source'] if draft.get('origin_url'): data['originUrl'] = draft['origin_url'] if draft.get('project_id'): data['projectId'] = draft['project_id'] return request( self.config.host, method='POST', path='/drafts', data=data, auth_opts=auth_opts, debug=self.config.debug, ) def update(self, _id, draft): """ :param _id: str, draft id :param draft: dict { 'title', str, 'content': str, 'mime_type': str, 'source': str, 'origin_url': str, 'project_id': str } """ validator.assert_exc(_id, '_id cannot be null') keys = ['title', 'content', 'mime_type', ] validator.check_dict_and_assert('draft', draft, keys) auth_opts = self.config.get_auth_opts() data = { 'title': draft['title'], 'content': draft['content'], 'mimeType': draft['mime_type'], } if draft.get('source'): data['source'] = draft['source'] if draft.get('origin_url'): data['originUrl'] = draft['origin_url'] if draft.get('project_id'): data['projectId'] = draft['project_id'] return request( self.config.host, method='PUT', path=f'/drafts/{_id}', data=data, auth_opts=auth_opts, debug=self.config.debug, ) def delete(self, _id): """ :param _id: str, draft id """ validator.assert_exc(_id, '_id cannot be null') return request( self.config.host, method='DELETE', path=f'/drafts/{_id}', auth_opts=self.config.get_auth_opts(), debug=self.config.debug, ) def get_by_id(self, _id): """ :param _id: str, draft id """ validator.assert_exc(_id, '_id cannot be null') return request( self.config.host, method='GET', path=f'/drafts/{_id}', auth_opts=self.config.get_auth_opts(), debug=self.config.debug, ) def get_drafts(self): return request( self.config.host, method='GET', path='/drafts', auth_opts=self.config.get_auth_opts(), debug=self.config.debug, )

28.491667

61

0.473238

341

3,419

4.533724

0.155425

0.109961

0.03881

0.058215

0.863519

0.852523

0.802717

0

0.390758

3,419

119

62

28.731092

0.742199

0.134542

0

0.734177

0

0.154045

0

0.063291

1

0.075949

false

0

0.025316

0.012658

0.177215

0

null

0

1

0

1

0

null

0

7

605f550a2e7e2d640797e5537d656d6b76d65994

62

py

Python

banzai/setup_package.py

gmbrandt/banzai

af6ddb529e8c35eaa87abf67372160f2dd99050b

[ "BSD-3-Clause" ]

null

banzai/setup_package.py

gmbrandt/banzai

af6ddb529e8c35eaa87abf67372160f2dd99050b

[ "BSD-3-Clause" ]

null

banzai/setup_package.py

gmbrandt/banzai

af6ddb529e8c35eaa87abf67372160f2dd99050b

[ "BSD-3-Clause" ]

null

def get_package_data(): return {'package_data': 'data/*'}

20.666667

37

0.66129

8

62

4.75

0.625

0.578947

0

0.145161

62

2

38

31

0.716981

0

0.290323

0

1

0.5

true

0

0.5

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

6075be328810357a9c185953115c50a466e62c20

9,647

py

Python

tests/assemblers/test_svm.py

yarix/m2cgen

f1aa01e4c70a6d1a8893e27bfbe3c36fcb1e8546

[ "MIT" ]

1

2021-05-28T06:59:21.000Z

tests/assemblers/test_svm.py

yarix/m2cgen

f1aa01e4c70a6d1a8893e27bfbe3c36fcb1e8546

[ "MIT" ]

null

tests/assemblers/test_svm.py

yarix/m2cgen

f1aa01e4c70a6d1a8893e27bfbe3c36fcb1e8546

[ "MIT" ]

null

import pytest import numpy as np from sklearn import svm from lightning.classification import KernelSVC from m2cgen import assemblers, ast from tests import utils def test_rbf_kernel(): estimator = svm.SVC(kernel="rbf", random_state=1, gamma=2.0) estimator.fit([[1], [2]], [1, 2]) assembler = assemblers.SklearnSVMModelAssembler(estimator) actual = assembler.assemble() kernels = [_rbf_kernel_ast(estimator, 1.), _rbf_kernel_ast(estimator, 2.)] expected = _create_expected_single_output_ast( estimator.dual_coef_, estimator.intercept_, kernels) assert utils.cmp_exprs(actual, expected) def test_linear_kernel(): estimator = svm.SVC(kernel="linear", random_state=1) estimator.fit([[1], [2]], [1, 2]) assembler = assemblers.SklearnSVMModelAssembler(estimator) actual = assembler.assemble() def kernel_ast(sup_vec_value): return ast.BinNumExpr( ast.NumVal(sup_vec_value), ast.FeatureRef(0), ast.BinNumOpType.MUL) expected = _create_expected_single_output_ast( estimator.dual_coef_, estimator.intercept_, [kernel_ast(1.0), kernel_ast(2.0)]) assert utils.cmp_exprs(actual, expected) def test_sigmoid_kernel(): estimator = svm.SVC(kernel="sigmoid", random_state=1, gamma=2.0) estimator.fit([[1], [2]], [1, 2]) assembler = assemblers.SklearnSVMModelAssembler(estimator) actual = assembler.assemble() def kernel_ast(sup_vec_value): return ast.TanhExpr( ast.BinNumExpr( ast.BinNumExpr( ast.NumVal(estimator.gamma), ast.BinNumExpr( ast.NumVal(sup_vec_value), ast.FeatureRef(0), ast.BinNumOpType.MUL), ast.BinNumOpType.MUL), ast.NumVal(0.0), ast.BinNumOpType.ADD)) expected = _create_expected_single_output_ast( estimator.dual_coef_, estimator.intercept_, [kernel_ast(1.0), kernel_ast(2.0)]) assert utils.cmp_exprs(actual, expected) def test_poly_kernel(): estimator = svm.SVC(kernel="poly", random_state=1, gamma=2.0, degree=2) estimator.fit([[1], [2]], [1, 2]) assembler = assemblers.SklearnSVMModelAssembler(estimator) actual = assembler.assemble() def kernel_ast(sup_vec_value): return ast.PowExpr( ast.BinNumExpr( ast.BinNumExpr( ast.NumVal(estimator.gamma), ast.BinNumExpr( ast.NumVal(sup_vec_value), ast.FeatureRef(0), ast.BinNumOpType.MUL), ast.BinNumOpType.MUL), ast.NumVal(0.0), ast.BinNumOpType.ADD), ast.NumVal(estimator.degree)) expected = _create_expected_single_output_ast( estimator.dual_coef_, estimator.intercept_, [kernel_ast(1.0), kernel_ast(2.0)]) assert utils.cmp_exprs(actual, expected) def test_cosine_kernel(): estimator = KernelSVC(kernel="cosine", random_state=1, gamma=2.0) estimator.fit(np.array([[1], [2]]), [1, 2]) assembler = assemblers.LightningSVMModelAssembler(estimator) actual = assembler.assemble() def kernel_ast(sup_vec_value): feature_norm = ast.SqrtExpr( ast.BinNumExpr( ast.FeatureRef(0), ast.FeatureRef(0), ast.BinNumOpType.MUL), to_reuse=True) return ast.BinNumExpr( ast.BinNumExpr( ast.NumVal(sup_vec_value), ast.FeatureRef(0), ast.BinNumOpType.MUL), ast.IfExpr( ast.CompExpr( feature_norm, ast.NumVal(0.0), ast.CompOpType.EQ), ast.NumVal(1.0), feature_norm), ast.BinNumOpType.DIV) expected = _create_expected_single_output_ast( estimator.coef_, estimator.intercept_, [kernel_ast(1.0), kernel_ast(1.0)]) assert utils.cmp_exprs(actual, expected) @pytest.mark.xfail(raises=ValueError, strict=True) def test_unknown_kernel(): estimator = svm.SVC(kernel=lambda x, y: np.transpose(x) * y) estimator.fit([[1], [2]], [1, 2]) assembler = assemblers.SklearnSVMModelAssembler(estimator) assembler.assemble() def test_multi_class_rbf_kernel(): estimator = svm.SVC(kernel="rbf", random_state=1, gamma=2.0) estimator.fit([[1], [2], [3]], [1, 2, 3]) assembler = assemblers.SklearnSVMModelAssembler(estimator) actual = assembler.assemble() kernels = [ _rbf_kernel_ast(estimator, float(i), to_reuse=True) for i in range(1, 4) ] expected = ast.VectorVal([ ast.BinNumExpr( ast.BinNumExpr( ast.NumVal(0.0), ast.BinNumExpr( kernels[1], ast.NumVal(-1.0), ast.BinNumOpType.MUL), ast.BinNumOpType.ADD), ast.BinNumExpr( kernels[0], ast.NumVal(1.0), ast.BinNumOpType.MUL), ast.BinNumOpType.ADD), ast.BinNumExpr( ast.BinNumExpr( ast.NumVal(0.0), ast.BinNumExpr( kernels[2], ast.NumVal(-1.0), ast.BinNumOpType.MUL), ast.BinNumOpType.ADD), ast.BinNumExpr( kernels[0], ast.NumVal(1.0), ast.BinNumOpType.MUL), ast.BinNumOpType.ADD), ast.BinNumExpr( ast.BinNumExpr( ast.NumVal(0.0), ast.BinNumExpr( kernels[2], ast.NumVal(-1.0), ast.BinNumOpType.MUL), ast.BinNumOpType.ADD), ast.BinNumExpr( kernels[1], ast.NumVal(1.0), ast.BinNumOpType.MUL), ast.BinNumOpType.ADD)]) assert utils.cmp_exprs(actual, expected) def test_lightning_multi_class_rbf_kernel(): estimator = KernelSVC(kernel="rbf", random_state=1, gamma=2.0) estimator.fit(np.array([[1], [2], [3]]), np.array([1, 2, 3])) assembler = assemblers.LightningSVMModelAssembler(estimator) actual = assembler.assemble() kernels = [ _rbf_kernel_ast(estimator, float(i)) for i in range(1, 4) ] expected = ast.VectorVal([ ast.BinNumExpr( ast.BinNumExpr( ast.BinNumExpr( ast.NumVal(0.0), ast.BinNumExpr( kernels[0], ast.NumVal(0.5342246289), ast.BinNumOpType.MUL), ast.BinNumOpType.ADD), ast.BinNumExpr( kernels[1], ast.NumVal(-0.5046204480), ast.BinNumOpType.MUL), ast.BinNumOpType.ADD), ast.BinNumExpr( kernels[2], ast.NumVal(-0.4659431306), ast.BinNumOpType.MUL), ast.BinNumOpType.ADD), ast.BinNumExpr( ast.BinNumExpr( ast.BinNumExpr( ast.NumVal(0.0), ast.BinNumExpr( kernels[0], ast.NumVal(-0.5386765707), ast.BinNumOpType.MUL), ast.BinNumOpType.ADD), ast.BinNumExpr( kernels[1], ast.NumVal(0.5729019463), ast.BinNumOpType.MUL), ast.BinNumOpType.ADD), ast.BinNumExpr( kernels[2], ast.NumVal(-0.5386765707), ast.BinNumOpType.MUL), ast.BinNumOpType.ADD), ast.BinNumExpr( ast.BinNumExpr( ast.BinNumExpr( ast.NumVal(0.0), ast.BinNumExpr( kernels[0], ast.NumVal(-0.4659431306), ast.BinNumOpType.MUL), ast.BinNumOpType.ADD), ast.BinNumExpr( kernels[1], ast.NumVal(-0.5046204480), ast.BinNumOpType.MUL), ast.BinNumOpType.ADD), ast.BinNumExpr( kernels[2], ast.NumVal(0.5342246289), ast.BinNumOpType.MUL), ast.BinNumOpType.ADD)]) assert utils.cmp_exprs(actual, expected) def _create_expected_single_output_ast(coef, intercept, kernels_ast): return ast.BinNumExpr( ast.BinNumExpr( ast.NumVal(intercept[0]), ast.BinNumExpr( kernels_ast[0], ast.NumVal(coef[0][0]), ast.BinNumOpType.MUL), ast.BinNumOpType.ADD), ast.BinNumExpr( kernels_ast[1], ast.NumVal(coef[0][1]), ast.BinNumOpType.MUL), ast.BinNumOpType.ADD) def _rbf_kernel_ast(estimator, sup_vec_value, to_reuse=False): return ast.ExpExpr( ast.BinNumExpr( ast.NumVal(-estimator.gamma), ast.PowExpr( ast.BinNumExpr( ast.NumVal(sup_vec_value), ast.FeatureRef(0), ast.BinNumOpType.SUB), ast.NumVal(2)), ast.BinNumOpType.MUL), to_reuse=to_reuse)

31.220065

78

0.531357

967

9,647

5.159255

0.105481

0.119864

0.093005

0.092604

0.84987

0.79996

0.782121

0.728202

0.719383

0.710964

0

0.03876

0.358142

9,647

308

79

31.321429

0.766957

0

0.756972

0

0.003317

0

0.027888

1

0.055777

false

0

0.023904

0.01992

0.103586

0

null

0

1

0

1

0

null

0

7

6083ce7263449fc2bf2b46ed36d9f1d786964ff2

124

py

Python

alerter/src/abstract/__init__.py

SimplyVC/panic

2f5c327ea0d14b6a49dc8f4599a255048bc2ff6d

[ "Apache-2.0" ]

41

2019-08-23T12:40:42.000Z

2022-03-28T11:06:02.000Z

alerter/src/abstract/__init__.py

SimplyVC/panic

2f5c327ea0d14b6a49dc8f4599a255048bc2ff6d

[ "Apache-2.0" ]

147

2019-08-30T22:09:48.000Z

2022-03-30T08:46:26.000Z

alerter/src/abstract/__init__.py

SimplyVC/panic

2f5c327ea0d14b6a49dc8f4599a255048bc2ff6d

[ "Apache-2.0" ]

3

2019-09-03T21:12:28.000Z

2021-08-18T14:27:56.000Z

from .component import Component from .publisher import PublisherComponent from .publisher import QueuingPublisherComponent

31

48

0.879032

12

124

9.083333

0.5

0.238532

0.348624

0

0.096774

124

3

49

41.333333

0.973214

0

1

0

true

0

1

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1

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1

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null

1

0

1

0

null

0

1

0

1

0

1

0

7

60d1bb920fb35f924bdc7f485612fda7d2f97739

31

py

Python

src/pypegasus_example/mod3.py

pegasus-isi/pypegasus-example

c4adf202dae8133073e8616a99bdf4c4baef1b4c

[ "Apache-2.0" ]

null

src/pypegasus_example/mod3.py

pegasus-isi/pypegasus-example

c4adf202dae8133073e8616a99bdf4c4baef1b4c

[ "Apache-2.0" ]

null

src/pypegasus_example/mod3.py

pegasus-isi/pypegasus-example

c4adf202dae8133073e8616a99bdf4c4baef1b4c

[ "Apache-2.0" ]

null

def y(): print("3" * 1000)

10.333333

21

0.451613

5

31

2.8

1

0

0.227273

0.290323

31

2

22

15.5

0.409091

0

0.032258

0

1

0.5

true

0

0.5

1

0

null

0

1

0

1

0

1

0

null

0

1

0

1

0

8

60f013dbde3e664924f17e2811dd85906a591d8c

4,662

py

Python

hall-of-fame/round-02/07_yejik1002/myunit.py

hansol000808/cau-osp2020-game

6912d3e96e5d2625a98e8d5e95ee8b2fe1178584

[ "Apache-2.0" ]

17

2020-12-08T14:33:01.000Z

2020-12-17T15:50:59.000Z

hall-of-fame/round-02/07_yejik1002/myunit.py

hansol000808/cau-osp2020-game

6912d3e96e5d2625a98e8d5e95ee8b2fe1178584

[ "Apache-2.0" ]

2

2020-11-26T12:21:53.000Z

2020-12-02T07:07:24.000Z

hall-of-fame/round-02/07_yejik1002/myunit.py

hansol000808/cau-osp2020-game

6912d3e96e5d2625a98e8d5e95ee8b2fe1178584

[ "Apache-2.0" ]

79

2020-11-26T00:43:18.000Z

2020-12-18T14:18:37.000Z

from loa.unit import Unit class YUnit(Unit): HP = 32.100000005 # Hit Points (health points) ATT = 0 # Attack ARM = 11.93333333 # Armor EVS = 0 def __init__(self, team, name, pos): cls = __class__ super().__init__(team, name, pos, hp=cls.HP, att=cls.ATT, arm=cls.ARM, evs=cls.EVS) class YUnit2(Unit): HP = 32.100000005 # Hit Points (health points) ATT = 0 # Attack ARM = 11.93333333 # Armor EVS = 0 def __init__(self, team, name, pos): cls = __class__ super().__init__(team, name, pos, hp=cls.HP, att=cls.ATT, arm=cls.ARM, evs=cls.EVS) class YUnit3(Unit): HP = 32.100000005 # Hit Points (health points) ATT = 0 # Attack ARM = 11.93333333 # Armor EVS = 0 def __init__(self, team, name, pos): cls = __class__ super().__init__(team, name, pos, hp=cls.HP, att=cls.ATT, arm=cls.ARM, evs=cls.EVS) class YUnit4(Unit): HP = 32.100000005 # Hit Points (health points) ATT = 0 # Attack ARM = 11.93333333 # Armor EVS = 0 def __init__(self, team, name, pos): cls = __class__ super().__init__(team, name, pos, hp=cls.HP, att=cls.ATT, arm=cls.ARM, evs=cls.EVS) class YUnit5(Unit): HP = 32.100000005 # Hit Points (health points) ATT = 0 # Attack ARM = 11.93333333 # Armor EVS = 0 def __init__(self, team, name, pos): cls = __class__ super().__init__(team, name, pos, hp=cls.HP, att=cls.ATT, arm=cls.ARM, evs=cls.EVS) class YUnit6(Unit): HP = 32.100000005 # Hit Points (health points) ATT = 0 # Attack ARM = 11.93333333 # Armor EVS = 0 def __init__(self, team, name, pos): cls = __class__ super().__init__(team, name, pos, hp=cls.HP, att=cls.ATT, arm=cls.ARM, evs=cls.EVS) class YUnit7(Unit): HP = 32.100000005 # Hit Points (health points) ATT = 0 # Attack ARM = 11.93333333 # Armor EVS = 0 def __init__(self, team, name, pos): cls = __class__ super().__init__(team, name, pos, hp=cls.HP, att=cls.ATT, arm=cls.ARM, evs=cls.EVS) class YUnit8(Unit): HP = 32.100000005 # Hit Points (health points) ATT = 0 # Attack ARM = 11.93333333 # Armor EVS = 0 def __init__(self, team, name, pos): cls = __class__ super().__init__(team, name, pos, hp=cls.HP, att=cls.ATT, arm=cls.ARM, evs=cls.EVS) class YUnit9(Unit): HP = 32.100000005 # Hit Points (health points) ATT = 0 # Attack ARM = 11.93333333 # Armor EVS = 0 def __init__(self, team, name, pos): cls = __class__ super().__init__(team, name, pos, hp=cls.HP, att=cls.ATT, arm=cls.ARM, evs=cls.EVS) class YUnit10(Unit): HP = 32.100000005 # Hit Points (health points) ATT = 0 # Attack ARM = 11.93333333 # Armor EVS = 0 def __init__(self, team, name, pos): cls = __class__ super().__init__(team, name, pos, hp=cls.HP, att=cls.ATT, arm=cls.ARM, evs=cls.EVS)

27.423529

56

0.38417

445

4,662

3.755056

0.083146

0.095751

0.131658

0.101735

0.948534

0

0.109489

0.529816

4,662

169

57

27.585799

0.652828

0.096311

0

0.921986

0

1

0.070922

false

0

0.007092

0

0.432624

0

null

0

1

0

1

0

1

0

null

0

8

716e225daa1d23f8e698c89326e59e99bdd8b301

16,513

py

Python

chat/tests_views.py

helmetwearer/dating-app

8222de25ef3fed9f5ca5e826f6da72243a1b2a1d

[ "MIT" ]

null

chat/tests_views.py

helmetwearer/dating-app

8222de25ef3fed9f5ca5e826f6da72243a1b2a1d

[ "MIT" ]

null

chat/tests_views.py

helmetwearer/dating-app

8222de25ef3fed9f5ca5e826f6da72243a1b2a1d

[ "MIT" ]

null

from django.test import TestCase from django.contrib.auth.models import User from .models import Conversations, Messages, Winks, Reject from django.urls import reverse from django.contrib.auth import authenticate, login from django.contrib import auth # from django.http import HttpResponsePermanentRedirect # from django.core.files.uploadedfile import SimpleUploadedFile from checkout.models import Subscription from profiles.models import Profile from django.utils import six import json # Create your tests here. class TestViews(TestCase): def setUp(self): self.user = User.objects.create_user(username='foo', email='foo@test.com', password='bar') test_user_two = User.objects.create_user(username='foo3', email='foo3@test.com', password='bar') """ A customer in Stripe under id 'cus_FMdSeBRaEVZlmh' is used """ # Test get chat page def test_chat_page(self): self.client.login(username='foo', password='bar') current_profile = Profile.objects.get(user_id__username='foo') receiver_profile = User.objects.get(username='foo3') # Make user premium current_profile.is_premium = True current_profile.save() subscription = Subscription(plan="monthly", customer_id="cus_FMdSeBRaEVZlmh", user_id=current_profile.user.id) subscription.save() # Make conversation conversation = Conversations() conversation.save() conversation.participants.add(current_profile.user.id) conversation.participants.add(receiver_profile.id) page = self.client.get('/chat/%s' % conversation.id) self.assertEqual(page.status_code, 200) self.assertTemplateUsed(page, 'chat.html') # Test post chat page creates message and redirects back to chat def test_post_chat_page(self): self.client.login(username='foo', password='bar') current_profile = Profile.objects.get(user_id__username='foo') receiver_profile = User.objects.get(username='foo3') # Make user premium current_profile.is_premium = True current_profile.save() subscription = Subscription(plan="monthly", customer_id="cus_FMdSeBRaEVZlmh", user_id=current_profile.user.id) subscription.save() # Make conversation conversation = Conversations() conversation.save() conversation.participants.add(current_profile.user.id) conversation.participants.add(receiver_profile.id) page = self.client.post(reverse('chat', kwargs={'id':conversation.id}), { 'message_content': 'foo'}) self.assertTrue(Messages.objects.get(message_content='foo')) self.assertRedirects(page, '/chat/%s' % conversation.id, status_code=302) # Test get chat home page (no previous conversations) def test_get_chat_home_no_previous_conversations(self): self.client.login(username='foo', password='bar') current_profile = Profile.objects.get(user_id__username='foo') # Make user premium current_profile.is_premium = True current_profile.save() subscription = Subscription(plan="monthly", customer_id="cus_FMdSeBRaEVZlmh", user_id=current_profile.user.id) subscription.save() page = self.client.get('/chat/home/') self.assertEqual(page.status_code, 200) self.assertTemplateUsed(page, 'chat_home.html') # Test get chat home page (previous conversations) (received message) def test_get_chat_home_previous_conversations_received_message(self): self.client.login(username='foo', password='bar') current_profile = Profile.objects.get(user_id__username='foo') receiver_profile = Profile.objects.get(user_id__username='foo3') # Make user premium current_profile.is_premium = True current_profile.save() subscription = Subscription(plan="monthly", customer_id="cus_FMdSeBRaEVZlmh", user_id=current_profile.user.id) subscription.save() # Create conversation and messages conversation = Conversations() conversation.save() conversation.participants.add(current_profile.user.id) conversation.participants.add(receiver_profile.user.id) message = Messages(message_content="foo", is_read=False, receiver_id=current_profile.user.id, sender_id=receiver_profile.user.id, conversation_id=conversation.id) message.save() page = self.client.get('/chat/home/') self.assertEqual(page.status_code, 200) self.assertTemplateUsed(page, 'chat_home.html') # Test get chat home page (previous conversations) (sent message) def test_get_chat_home_previous_conversations_sent_message(self): self.client.login(username='foo', password='bar') current_profile = Profile.objects.get(user_id__username='foo') receiver_profile = Profile.objects.get(user_id__username='foo3') # Make user premium current_profile.is_premium = True current_profile.save() subscription = Subscription(plan="monthly", customer_id="cus_FMdSeBRaEVZlmh", user_id=current_profile.user.id) subscription.save() # Create conversation and messages conversation = Conversations() conversation.save() conversation.participants.add(current_profile.user.id) conversation.participants.add(receiver_profile.user.id) message = Messages(message_content="foo", is_read=False, receiver_id=receiver_profile.user.id, sender_id=current_profile.user.id, conversation_id=conversation.id) message.save() page = self.client.get('/chat/home/') self.assertEqual(page.status_code, 200) self.assertTemplateUsed(page, 'chat_home.html') # Test get winks page def test_get_winks(self): self.client.login(username='foo', password='bar') page = self.client.get('/chat/winks/') self.assertEqual(page.status_code, 200) self.assertTemplateUsed(page, 'winks.html') # Test get views page def test_get_views(self): self.client.login(username='foo', password='bar') current_profile = Profile.objects.get(user_id__username='foo') # Make user premium current_profile.is_premium = True current_profile.save() subscription = Subscription(plan="monthly", customer_id="cus_FMdSeBRaEVZlmh", user_id=current_profile.user.id) subscription.save() page = self.client.get('/chat/views/') self.assertEqual(page.status_code, 200) self.assertTemplateUsed(page, 'views.html') # Test message check returns JSON data def test_ajax_new_message_check(self): self.client.login(username='foo', password='bar') current_profile = Profile.objects.get(user_id__username='foo') receiver_profile = User.objects.get(username='foo3') # Create conversation and messages conversation = Conversations() conversation.save() conversation.participants.add(current_profile.user.id) conversation.participants.add(receiver_profile.id) message = Messages(message_content="foo", is_read=False, receiver_id=current_profile.id, sender_id=receiver_profile.id, conversation_id=conversation.id) message.save() # Make user premium current_profile.is_premium = True current_profile.save() subscription = Subscription(plan="monthly", customer_id="cus_FMdSeBRaEVZlmh", user_id=current_profile.user.id) subscription.save() page = self.client.get(reverse('new_message_check'), { 'url_id': conversation.id}, **{'HTTP_X_REQUESTED_WITH': 'XMLHttpRequest'}) response_content = page.content # https://stackoverflow.com/questions/27472663/how-to-use-djangos-assertjsonequal-to-verify-response-of-view-returning-jsonres if six.PY3: response_content = str(response_content, encoding='utf8') self.assertJSONEqual( response_content, {'conversation' : True} ) # Test wink returns correct JSON - last wink unread def test_ajax_wink_not_read(self): self.client.login(username='foo', password='bar') current_user = User.objects.get(username='foo') receiver_user = User.objects.get(username='foo3') # Create unread wink wink = Winks(receiver=receiver_user, sender=current_user) wink.save() page = self.client.get(reverse('wink'), { 'receiver_id': receiver_user.id}, **{'HTTP_X_REQUESTED_WITH': 'XMLHttpRequest'}) response_content = page.content if six.PY3: response_content = str(response_content, encoding='utf8') self.assertJSONEqual( response_content, {'message' : "Member hasn't viewed your last wink yet"} ) # Test wink returns correct JSON - no unread winks def test_ajax_wink_no_unread(self): self.client.login(username='foo', password='bar') receiver_profile = User.objects.get(username='foo3') page = self.client.get(reverse('wink'), { 'receiver_id': receiver_profile.id}, **{'HTTP_X_REQUESTED_WITH': 'XMLHttpRequest'}) response_content = page.content if six.PY3: response_content = str(response_content, encoding='utf8') self.assertJSONEqual( response_content, {'message' : 'Wink successfully sent.'} ) # Test reject creates reject record (as one is not yet created) and returns 204 response def test_ajax_reject(self): self.client.login(username='foo', password='bar') receiver_user = User.objects.get(username='foo3') current_user = User.objects.get(username='foo') # Record not yet created reject_record = Reject.objects.filter(sender_id=current_user, receiver_id=receiver_user).exists() self.assertFalse(reject_record) page = self.client.get(reverse('reject'), { 'receiver_id': receiver_user.id}, **{'HTTP_X_REQUESTED_WITH': 'XMLHttpRequest'}) response_content = page.content if six.PY3: response_content = str(response_content, encoding='utf8') self.assertJSONEqual( response_content, {'message' : 'Member successfully skipped'} ) # Test chat ajax returns JSON and creates conversation and message (conversation not yet exists) def test_ajax_message_no_conversation(self): self.client.login(username='foo', password='bar') receiver_user = User.objects.get(username='foo3') current_user = User.objects.get(username='foo') # Make user premium current_user.profile.is_premium = True current_user.profile.save() subscription = Subscription(plan="monthly", customer_id="cus_FMdSeBRaEVZlmh", user_id=current_user.id) subscription.save() page = self.client.post(reverse('new_message'), { 'message_receiver': receiver_user.id, 'message_content': 'foo'}, **{'HTTP_X_REQUESTED_WITH': 'XMLHttpRequest'}) response_content = page.content if six.PY3: response_content = str(response_content, encoding='utf8') message = Messages.objects.filter(message_content='foo', sender_id=current_user, receiver_id=receiver_user).exists() self.assertTrue(message) self.assertJSONEqual( response_content, {'message' : 'Message Successfully Sent'} ) # Test chat ajax returns JSON and creates message (conversation already exists) def test_ajax_message_conversation_exists(self): self.client.login(username='foo', password='bar') receiver_user = User.objects.get(username='foo3') current_user = User.objects.get(username='foo') # Make user premium current_user.profile.is_premium = True current_user.profile.save() subscription = Subscription(plan="monthly", customer_id="cus_FMdSeBRaEVZlmh", user_id=current_user.id) subscription.save() # Create conversation conversation = Conversations() conversation.save() conversation.participants.add(current_user.id) conversation.participants.add(receiver_user.id) conversation.save() page = self.client.post(reverse('new_message'), { 'message_receiver': receiver_user.id, 'message_content': 'foo'}, **{'HTTP_X_REQUESTED_WITH': 'XMLHttpRequest'}) response_content = page.content if six.PY3: response_content = str(response_content, encoding='utf8') message = Messages.objects.filter(message_content='foo', sender_id=current_user, receiver_id=receiver_user).exists() self.assertTrue(message) self.assertJSONEqual( response_content, {'message' : 'Message Successfully Sent'} ) # Test AJAX request reads all messages in conversation def test_ajax_read_messages(self): self.client.login(username='foo', password='bar') receiver_user = User.objects.get(username='foo3') current_user = User.objects.get(username='foo') # Create conversation and messages conversation = Conversations() conversation.save() conversation.participants.add(current_user.id) conversation.participants.add(receiver_user.id) message = Messages(message_content="foo", is_read=False, receiver_id=current_user.id, sender_id=receiver_user.id, conversation_id=conversation.id) message.save() page = self.client.get(reverse('read_messages'), { 'url_id': 1}, **{'HTTP_X_REQUESTED_WITH': 'XMLHttpRequest'}) response_content = page.content if six.PY3: response_content = str(response_content, encoding='utf8') message = Messages.objects.get(pk=message.id) self.assertEqual(message.is_read, True) self.assertJSONEqual( response_content, {'conversation' : False} ) # Test ajax read wink returns 204 status code def test_ajax_read_wink(self): self.client.login(username='foo', password='bar') page = self.client.post(reverse('read_wink'), { 'page': 1}, **{'HTTP_X_REQUESTED_WITH': 'XMLHttpRequest'}) self.assertEqual(page.status_code, 204) # Test ajax read view returns redirect directive (not premium) def test_ajax_read_view_not_premium(self): self.client.login(username='foo', password='bar') page = self.client.post(reverse('read_view'), { 'page': 1}, **{'HTTP_X_REQUESTED_WITH': 'XMLHttpRequest'}) response_content = page.content if six.PY3: response_content = str(response_content, encoding='utf8') self.assertJSONEqual( response_content, {'redirect' : '/subscribe'} ) # Test ajax read view returns 204 response (user premium) def test_ajax_read_view_premium(self): self.client.login(username='foo', password='bar') current_user = User.objects.get(username='foo') # Make user premium current_user.profile.is_premium = True current_user.profile.save() subscription = Subscription(plan="monthly", customer_id="cus_FMdSeBRaEVZlmh", user_id=current_user.id) subscription.save() page = self.client.post(reverse('read_view'), { 'page': 1}, **{'HTTP_X_REQUESTED_WITH': 'XMLHttpRequest'}) self.assertEqual(page.status_code, 204)

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8

718b598da96e5e74661dfc7d3dd0fcdc78f8cff2

11,370

py

Python

ec2_compare/internal/instance_type/u_.py

frolovv/aws.ec2.compare

582805823492f833d65c0441c4a14dce697c12aa

[ "Apache-2.0" ]

null

ec2_compare/internal/instance_type/u_.py

frolovv/aws.ec2.compare

582805823492f833d65c0441c4a14dce697c12aa

[ "Apache-2.0" ]

null

ec2_compare/internal/instance_type/u_.py

frolovv/aws.ec2.compare

582805823492f833d65c0441c4a14dce697c12aa

[ "Apache-2.0" ]

null

# Automatically generated # pylint: disable=all get = [{'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 2.1, 'DefaultVCpus': 224, 'DefaultCores': 224, 'DefaultThreadsPerCore': 1, 'ValidCores': [8, 16, 24, 32, 40, 48, 56, 64, 72, 80, 88, 96, 104, 112, 120, 128, 136, 144, 152, 160, 168, 176, 184, 192, 200, 208, 216, 224], 'ValidThreadsPerCore': [1], 'SizeInMiB': 6291456, 'EbsOptimizedSupport': 'default', 'EncryptionSupport': 'supported', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 19000, 'BaselineThroughputInMBps': 2375.0, 'BaselineIops': 80000, 'MaximumBandwidthInMbps': 19000, 'MaximumThroughputInMBps': 2375.0, 'MaximumIops': 80000}, 'NvmeSupport': 'required', 'NetworkPerformance': '100 Gigabit', 'MaximumNetworkInterfaces': 15, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '100 Gigabit', 'MaximumNetworkInterfaces': 15}], 'Ipv4AddressesPerInterface': 50, 'Ipv6AddressesPerInterface': 50, 'Ipv6Supported': True, 'EnaSupport': 'required', 'EfaSupported': False, 'EncryptionInTransitSupported': True, 'SupportedStrategies': ['cluster', 'partition', 'spread'], 'InstanceType': 'u-6tb1.56xlarge', 'CurrentGeneration': True, 'FreeTierEligible': False, 'SupportedUsageClasses': ['on-demand'], 'SupportedRootDeviceTypes': ['ebs'], 'SupportedVirtualizationTypes': ['hvm'], 'BareMetal': False, 'Hypervisor': 'nitro', 'ProcessorInfo': {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 2.1}, 'VCpuInfo': {'DefaultVCpus': 224, 'DefaultCores': 224, 'DefaultThreadsPerCore': 1, 'ValidCores': [8, 16, 24, 32, 40, 48, 56, 64, 72, 80, 88, 96, 104, 112, 120, 128, 136, 144, 152, 160, 168, 176, 184, 192, 200, 208, 216, 224], 'ValidThreadsPerCore': [1]}, 'MemoryInfo': {'SizeInMiB': 6291456}, 'InstanceStorageSupported': False, 'EbsInfo': {'EbsOptimizedSupport': 'default', 'EncryptionSupport': 'supported', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 19000, 'BaselineThroughputInMBps': 2375.0, 'BaselineIops': 80000, 'MaximumBandwidthInMbps': 19000, 'MaximumThroughputInMBps': 2375.0, 'MaximumIops': 80000}, 'NvmeSupport': 'required'}, 'NetworkInfo': {'NetworkPerformance': '100 Gigabit', 'MaximumNetworkInterfaces': 15, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '100 Gigabit', 'MaximumNetworkInterfaces': 15}], 'Ipv4AddressesPerInterface': 50, 'Ipv6AddressesPerInterface': 50, 'Ipv6Supported': True, 'EnaSupport': 'required', 'EfaSupported': False, 'EncryptionInTransitSupported': True}, 'PlacementGroupInfo': {'SupportedStrategies': ['cluster', 'partition', 'spread']}, 'HibernationSupported': False, 'BurstablePerformanceSupported': False, 'DedicatedHostsSupported': True, 'AutoRecoverySupported': True, 'SupportedBootModes': ['legacy-bios', 'uefi']}, {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 2.1, 'DefaultVCpus': 448, 'DefaultCores': 224, 'DefaultThreadsPerCore': 2, 'ValidCores': [8, 16, 24, 32, 40, 48, 56, 64, 72, 80, 88, 96, 104, 112, 120, 128, 136, 144, 152, 160, 168, 176, 184, 192, 200, 208, 216, 224], 'ValidThreadsPerCore': [1, 2], 'SizeInMiB': 12582912, 'EbsOptimizedSupport': 'default', 'EncryptionSupport': 'supported', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 19000, 'BaselineThroughputInMBps': 2375.0, 'BaselineIops': 80000, 'MaximumBandwidthInMbps': 19000, 'MaximumThroughputInMBps': 2375.0, 'MaximumIops': 80000}, 'NvmeSupport': 'required', 'NetworkPerformance': '100 Gigabit', 'MaximumNetworkInterfaces': 15, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '100 Gigabit', 'MaximumNetworkInterfaces': 15}], 'Ipv4AddressesPerInterface': 50, 'Ipv6AddressesPerInterface': 50, 'Ipv6Supported': True, 'EnaSupport': 'required', 'EfaSupported': False, 'EncryptionInTransitSupported': True, 'SupportedStrategies': ['cluster', 'partition', 'spread'], 'InstanceType': 'u-12tb1.112xlarge', 'CurrentGeneration': True, 'FreeTierEligible': False, 'SupportedUsageClasses': ['on-demand'], 'SupportedRootDeviceTypes': ['ebs'], 'SupportedVirtualizationTypes': ['hvm'], 'BareMetal': False, 'Hypervisor': 'nitro', 'ProcessorInfo': {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 2.1}, 'VCpuInfo': {'DefaultVCpus': 448, 'DefaultCores': 224, 'DefaultThreadsPerCore': 2, 'ValidCores': [8, 16, 24, 32, 40, 48, 56, 64, 72, 80, 88, 96, 104, 112, 120, 128, 136, 144, 152, 160, 168, 176, 184, 192, 200, 208, 216, 224], 'ValidThreadsPerCore': [1, 2]}, 'MemoryInfo': {'SizeInMiB': 12582912}, 'InstanceStorageSupported': False, 'EbsInfo': {'EbsOptimizedSupport': 'default', 'EncryptionSupport': 'supported', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 19000, 'BaselineThroughputInMBps': 2375.0, 'BaselineIops': 80000, 'MaximumBandwidthInMbps': 19000, 'MaximumThroughputInMBps': 2375.0, 'MaximumIops': 80000}, 'NvmeSupport': 'required'}, 'NetworkInfo': {'NetworkPerformance': '100 Gigabit', 'MaximumNetworkInterfaces': 15, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '100 Gigabit', 'MaximumNetworkInterfaces': 15}], 'Ipv4AddressesPerInterface': 50, 'Ipv6AddressesPerInterface': 50, 'Ipv6Supported': True, 'EnaSupport': 'required', 'EfaSupported': False, 'EncryptionInTransitSupported': True}, 'PlacementGroupInfo': {'SupportedStrategies': ['cluster', 'partition', 'spread']}, 'HibernationSupported': False, 'BurstablePerformanceSupported': False, 'DedicatedHostsSupported': True, 'AutoRecoverySupported': True, 'SupportedBootModes': ['legacy-bios', 'uefi']}, {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 2.1, 'DefaultVCpus': 448, 'DefaultCores': 224, 'DefaultThreadsPerCore': 2, 'ValidCores': [8, 16, 24, 32, 40, 48, 56, 64, 72, 80, 88, 96, 104, 112, 120, 128, 136, 144, 152, 160, 168, 176, 184, 192, 200, 208, 216, 224], 'ValidThreadsPerCore': [1, 2], 'SizeInMiB': 6291456, 'EbsOptimizedSupport': 'default', 'EncryptionSupport': 'supported', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 19000, 'BaselineThroughputInMBps': 2375.0, 'BaselineIops': 80000, 'MaximumBandwidthInMbps': 19000, 'MaximumThroughputInMBps': 2375.0, 'MaximumIops': 80000}, 'NvmeSupport': 'required', 'NetworkPerformance': '100 Gigabit', 'MaximumNetworkInterfaces': 15, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '100 Gigabit', 'MaximumNetworkInterfaces': 15}], 'Ipv4AddressesPerInterface': 50, 'Ipv6AddressesPerInterface': 50, 'Ipv6Supported': True, 'EnaSupport': 'required', 'EfaSupported': False, 'EncryptionInTransitSupported': True, 'SupportedStrategies': ['cluster', 'partition', 'spread'], 'InstanceType': 'u-6tb1.112xlarge', 'CurrentGeneration': True, 'FreeTierEligible': False, 'SupportedUsageClasses': ['on-demand'], 'SupportedRootDeviceTypes': ['ebs'], 'SupportedVirtualizationTypes': ['hvm'], 'BareMetal': False, 'Hypervisor': 'nitro', 'ProcessorInfo': {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 2.1}, 'VCpuInfo': {'DefaultVCpus': 448, 'DefaultCores': 224, 'DefaultThreadsPerCore': 2, 'ValidCores': [8, 16, 24, 32, 40, 48, 56, 64, 72, 80, 88, 96, 104, 112, 120, 128, 136, 144, 152, 160, 168, 176, 184, 192, 200, 208, 216, 224], 'ValidThreadsPerCore': [1, 2]}, 'MemoryInfo': {'SizeInMiB': 6291456}, 'InstanceStorageSupported': False, 'EbsInfo': {'EbsOptimizedSupport': 'default', 'EncryptionSupport': 'supported', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 19000, 'BaselineThroughputInMBps': 2375.0, 'BaselineIops': 80000, 'MaximumBandwidthInMbps': 19000, 'MaximumThroughputInMBps': 2375.0, 'MaximumIops': 80000}, 'NvmeSupport': 'required'}, 'NetworkInfo': {'NetworkPerformance': '100 Gigabit', 'MaximumNetworkInterfaces': 15, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '100 Gigabit', 'MaximumNetworkInterfaces': 15}], 'Ipv4AddressesPerInterface': 50, 'Ipv6AddressesPerInterface': 50, 'Ipv6Supported': True, 'EnaSupport': 'required', 'EfaSupported': False, 'EncryptionInTransitSupported': True}, 'PlacementGroupInfo': {'SupportedStrategies': ['cluster', 'partition', 'spread']}, 'HibernationSupported': False, 'BurstablePerformanceSupported': False, 'DedicatedHostsSupported': True, 'AutoRecoverySupported': True, 'SupportedBootModes': ['legacy-bios', 'uefi']}, {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 2.1, 'DefaultVCpus': 448, 'DefaultCores': 224, 'DefaultThreadsPerCore': 2, 'ValidCores': [8, 16, 24, 32, 40, 48, 56, 64, 72, 80, 88, 96, 104, 112, 120, 128, 136, 144, 152, 160, 168, 176, 184, 192, 200, 208, 216, 224], 'ValidThreadsPerCore': [1, 2], 'SizeInMiB': 9437184, 'EbsOptimizedSupport': 'default', 'EncryptionSupport': 'supported', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 19000, 'BaselineThroughputInMBps': 2375.0, 'BaselineIops': 80000, 'MaximumBandwidthInMbps': 19000, 'MaximumThroughputInMBps': 2375.0, 'MaximumIops': 80000}, 'NvmeSupport': 'required', 'NetworkPerformance': '100 Gigabit', 'MaximumNetworkInterfaces': 15, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '100 Gigabit', 'MaximumNetworkInterfaces': 15}], 'Ipv4AddressesPerInterface': 50, 'Ipv6AddressesPerInterface': 50, 'Ipv6Supported': True, 'EnaSupport': 'required', 'EfaSupported': False, 'EncryptionInTransitSupported': True, 'SupportedStrategies': ['cluster', 'partition', 'spread'], 'InstanceType': 'u-9tb1.112xlarge', 'CurrentGeneration': True, 'FreeTierEligible': False, 'SupportedUsageClasses': ['on-demand'], 'SupportedRootDeviceTypes': ['ebs'], 'SupportedVirtualizationTypes': ['hvm'], 'BareMetal': False, 'Hypervisor': 'nitro', 'ProcessorInfo': {'SupportedArchitectures': ['x86_64'], 'SustainedClockSpeedInGhz': 2.1}, 'VCpuInfo': {'DefaultVCpus': 448, 'DefaultCores': 224, 'DefaultThreadsPerCore': 2, 'ValidCores': [8, 16, 24, 32, 40, 48, 56, 64, 72, 80, 88, 96, 104, 112, 120, 128, 136, 144, 152, 160, 168, 176, 184, 192, 200, 208, 216, 224], 'ValidThreadsPerCore': [1, 2]}, 'MemoryInfo': {'SizeInMiB': 9437184}, 'InstanceStorageSupported': False, 'EbsInfo': {'EbsOptimizedSupport': 'default', 'EncryptionSupport': 'supported', 'EbsOptimizedInfo': {'BaselineBandwidthInMbps': 19000, 'BaselineThroughputInMBps': 2375.0, 'BaselineIops': 80000, 'MaximumBandwidthInMbps': 19000, 'MaximumThroughputInMBps': 2375.0, 'MaximumIops': 80000}, 'NvmeSupport': 'required'}, 'NetworkInfo': {'NetworkPerformance': '100 Gigabit', 'MaximumNetworkInterfaces': 15, 'MaximumNetworkCards': 1, 'DefaultNetworkCardIndex': 0, 'NetworkCards': [{'NetworkCardIndex': 0, 'NetworkPerformance': '100 Gigabit', 'MaximumNetworkInterfaces': 15}], 'Ipv4AddressesPerInterface': 50, 'Ipv6AddressesPerInterface': 50, 'Ipv6Supported': True, 'EnaSupport': 'required', 'EfaSupported': False, 'EncryptionInTransitSupported': True}, 'PlacementGroupInfo': {'SupportedStrategies': ['cluster', 'partition', 'spread']}, 'HibernationSupported': False, 'BurstablePerformanceSupported': False, 'DedicatedHostsSupported': True, 'AutoRecoverySupported': True, 'SupportedBootModes': ['legacy-bios', 'uefi']}] # noqa: E501 def get_instances_list() -> list: '''Returns list EC2 instances with InstanceType = u- .''' # pylint: disable=all return get

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0.977961

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null

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1

0

1

0

12

719c6d701b55bd9f83018cbbed9ed50a59caf86f

881

py

Python

Curso-em-video/115-exerciciospython/d060_fatorial.py

FabianoBill/Estudos-em-python

32c3f9e37b83630c923ff7c0c77aa7d80fbc3174

[ "MIT" ]

1

2021-05-24T19:44:04.000Z

Curso-em-video/115-exerciciospython/d060_fatorial.py

FabianoBill/Estudos-em-python

32c3f9e37b83630c923ff7c0c77aa7d80fbc3174

[ "MIT" ]

null

Curso-em-video/115-exerciciospython/d060_fatorial.py

FabianoBill/Estudos-em-python

32c3f9e37b83630c923ff7c0c77aa7d80fbc3174

[ "MIT" ]

null

# Exercício Python 060: Faça um programa que leia um número qualquer e mostre o seu fatorial. # n = int(input("Digite um número natural para saber seu fatorial: ")) # f = 1 # if n < 0: # print(f"{n} é negativo, não é um número natural, tente novamente.") # n = int(input("Digite um número natural para saber seu fatorial: ")) # print(f"{n}! = ", end="") # while n > 0: # print(f"{n} ", end="") # print(" x " if n > 1 else " = ", end="") # f = f * n # n -= 1 # print(f) n = int(input("Digite um número natural para saber seu fatorial: ")) f = 1 if n < 0: print(f"{n} é negativo, não é um número natural, tente novamente.") n = int(input("Digite um número natural para saber seu fatorial: ")) print(f"{n}! = ", end="") for n in range(n, 0, -1): print(f"{n}", end="") print(" x " if n > 1 else "= ", end="") f = f * n n -= 1 print(f)

31.464286

93

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0.097804

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881

27

94

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false

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0

1

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null

0

1

0

7

e0cb9134c42f7b640d8b6183ff5a3c9c08c4803e

11,172

py

Python

tests/utils/test_type_util.py

pSpitzner/python-benedict

d55cfe99d394e3931326c0b712de49c169ae68da

[ "MIT" ]

365

2019-05-21T05:50:30.000Z

2022-03-29T11:35:35.000Z

tests/utils/test_type_util.py

pSpitzner/python-benedict

d55cfe99d394e3931326c0b712de49c169ae68da

[ "MIT" ]

78

2019-11-16T12:22:54.000Z

2022-03-14T12:21:30.000Z

tests/utils/test_type_util.py

pSpitzner/python-benedict

d55cfe99d394e3931326c0b712de49c169ae68da

[ "MIT" ]

26

2019-12-16T06:34:12.000Z

2022-02-28T07:16:41.000Z

# -*- coding: utf-8 -*- from benedict.utils import type_util from datetime import datetime from decimal import Decimal import unittest class type_util_test_case(unittest.TestCase): def test_is_bool(self): f = type_util.is_bool self.assertFalse(f(None)) self.assertTrue(f(True)) self.assertTrue(f(False)) self.assertFalse(f(int(0))) self.assertFalse(f(float(0.5))) self.assertFalse(f(Decimal(0.5))) self.assertFalse(f(datetime.now())) self.assertFalse(f((0, 1, 2, ))) self.assertFalse(f([0, 1, 2])) self.assertFalse(f(set([0, 1, 2]))) self.assertFalse(f({'a':0, 'b':1, 'c':2})) self.assertFalse(f('hello world')) self.assertFalse(f(lambda a: a)) def test_is_collection(self): f = type_util.is_collection self.assertFalse(f(None)) self.assertFalse(f(True)) self.assertFalse(f(False)) self.assertFalse(f(int(0))) self.assertFalse(f(float(0.5))) self.assertFalse(f(Decimal(0.5))) self.assertFalse(f(datetime.now())) self.assertTrue(f((0, 1, 2, ))) self.assertTrue(f([0, 1, 2])) self.assertTrue(f(set([0, 1, 2]))) self.assertTrue(f({'a':0, 'b':1, 'c':2})) self.assertFalse(f('hello world')) self.assertFalse(f(lambda a: a)) def test_is_datetime(self): f = type_util.is_datetime self.assertFalse(f(None)) self.assertFalse(f(True)) self.assertFalse(f(False)) self.assertFalse(f(int(0))) self.assertFalse(f(float(0.5))) self.assertFalse(f(Decimal(0.5))) self.assertTrue(f(datetime.now())) self.assertFalse(f((0, 1, 2, ))) self.assertFalse(f([0, 1, 2])) self.assertFalse(f(set([0, 1, 2]))) self.assertFalse(f({'a':0, 'b':1, 'c':2})) self.assertFalse(f('hello world')) self.assertFalse(f(lambda a: a)) def test_is_decimal(self): f = type_util.is_decimal self.assertFalse(f(None)) self.assertFalse(f(True)) self.assertFalse(f(False)) self.assertFalse(f(int(0))) self.assertFalse(f(float(0.5))) self.assertTrue(f(Decimal(0.5))) self.assertFalse(f(datetime.now())) self.assertFalse(f((0, 1, 2, ))) self.assertFalse(f([0, 1, 2])) self.assertFalse(f(set([0, 1, 2]))) self.assertFalse(f({'a':0, 'b':1, 'c':2})) self.assertFalse(f('hello world')) self.assertFalse(f(lambda a: a)) def test_is_dict(self): f = type_util.is_dict self.assertFalse(f(None)) self.assertFalse(f(True)) self.assertFalse(f(False)) self.assertFalse(f(int(0))) self.assertFalse(f(float(0.5))) self.assertFalse(f(Decimal(0.5))) self.assertFalse(f(datetime.now())) self.assertFalse(f((0, 1, 2, ))) self.assertFalse(f([0, 1, 2])) self.assertFalse(f(set([0, 1, 2]))) self.assertTrue(f({'a':0, 'b':1, 'c':2})) self.assertFalse(f('hello world')) self.assertFalse(f(lambda a: a)) def test_is_dict_or_list(self): f = type_util.is_dict_or_list self.assertFalse(f(None)) self.assertFalse(f(True)) self.assertFalse(f(False)) self.assertFalse(f(int(0))) self.assertFalse(f(float(0.5))) self.assertFalse(f(Decimal(0.5))) self.assertFalse(f(datetime.now())) self.assertFalse(f((0, 1, 2, ))) self.assertTrue(f([0, 1, 2])) self.assertFalse(f(set([0, 1, 2]))) self.assertTrue(f({'a':0, 'b':1, 'c':2})) self.assertFalse(f('hello world')) self.assertFalse(f(lambda a: a)) def test_is_dict_or_list_or_tuple(self): f = type_util.is_dict_or_list_or_tuple self.assertFalse(f(None)) self.assertFalse(f(True)) self.assertFalse(f(False)) self.assertFalse(f(int(0))) self.assertFalse(f(float(0.5))) self.assertFalse(f(Decimal(0.5))) self.assertFalse(f(datetime.now())) self.assertTrue(f((0, 1, 2, ))) self.assertTrue(f([0, 1, 2])) self.assertFalse(f(set([0, 1, 2]))) self.assertTrue(f({'a':0, 'b':1, 'c':2})) self.assertFalse(f('hello world')) self.assertFalse(f(lambda a: a)) def test_is_float(self): f = type_util.is_float self.assertFalse(f(None)) self.assertFalse(f(True)) self.assertFalse(f(False)) self.assertFalse(f(int(0))) self.assertTrue(f(float(0.5))) self.assertFalse(f(Decimal(0.5))) self.assertFalse(f(datetime.now())) self.assertFalse(f((0, 1, 2, ))) self.assertFalse(f([0, 1, 2])) self.assertFalse(f(set([0, 1, 2]))) self.assertFalse(f({'a':0, 'b':1, 'c':2})) self.assertFalse(f('hello world')) self.assertFalse(f(lambda a: a)) def test_is_function(self): f = type_util.is_function self.assertFalse(f(None)) self.assertFalse(f(True)) self.assertFalse(f(False)) self.assertFalse(f(int(0))) self.assertFalse(f(float(0.5))) self.assertFalse(f(Decimal(0.5))) self.assertFalse(f(datetime.now())) self.assertFalse(f((0, 1, 2, ))) self.assertFalse(f([0, 1, 2])) self.assertFalse(f(set([0, 1, 2]))) self.assertFalse(f({'a':0, 'b':1, 'c':2})) self.assertFalse(f('hello world')) self.assertTrue(f(lambda a: a)) def test_is_integer(self): f = type_util.is_integer self.assertFalse(f(None)) self.assertTrue(f(True)) self.assertTrue(f(False)) self.assertTrue(f(int(0))) self.assertFalse(f(float(0.5))) self.assertFalse(f(Decimal(0.5))) self.assertFalse(f(datetime.now())) self.assertFalse(f((0, 1, 2, ))) self.assertFalse(f([0, 1, 2])) self.assertFalse(f(set([0, 1, 2]))) self.assertFalse(f({'a':0, 'b':1, 'c':2})) self.assertFalse(f('hello world')) self.assertFalse(f(lambda a: a)) def test_is_json_serializable(self): f = type_util.is_json_serializable self.assertTrue(f(None)) self.assertTrue(f(True)) self.assertTrue(f(False)) self.assertTrue(f(int(0))) self.assertTrue(f(float(0.5))) self.assertFalse(f(Decimal(0.5))) self.assertFalse(f(datetime.now())) self.assertTrue(f((0, 1, 2, ))) self.assertTrue(f([0, 1, 2])) self.assertFalse(f(set([0, 1, 2]))) self.assertTrue(f({'a':0, 'b':1, 'c':2})) self.assertTrue(f('hello world')) self.assertFalse(f(lambda a: a)) def test_is_list(self): f = type_util.is_list self.assertFalse(f(None)) self.assertFalse(f(True)) self.assertFalse(f(False)) self.assertFalse(f(int(0))) self.assertFalse(f(float(0.5))) self.assertFalse(f(Decimal(0.5))) self.assertFalse(f(datetime.now())) self.assertFalse(f((0, 1, 2, ))) self.assertTrue(f([0, 1, 2])) self.assertFalse(f(set([0, 1, 2]))) self.assertFalse(f({'a':0, 'b':1, 'c':2})) self.assertFalse(f('hello world')) self.assertFalse(f(lambda a: a)) def test_is_list_or_tuple(self): f = type_util.is_list_or_tuple self.assertFalse(f(None)) self.assertFalse(f(True)) self.assertFalse(f(False)) self.assertFalse(f(int(0))) self.assertFalse(f(float(0.5))) self.assertFalse(f(Decimal(0.5))) self.assertFalse(f(datetime.now())) self.assertTrue(f((0, 1, 2, ))) self.assertTrue(f([0, 1, 2])) self.assertFalse(f(set([0, 1, 2]))) self.assertFalse(f({'a':0, 'b':1, 'c':2})) self.assertFalse(f('hello world')) self.assertFalse(f(lambda a: a)) def test_is_none(self): f = type_util.is_none self.assertTrue(f(None)) self.assertFalse(f(True)) self.assertFalse(f(False)) self.assertFalse(f(int(0))) self.assertFalse(f(float(0.5))) self.assertFalse(f(Decimal(0.5))) self.assertFalse(f(datetime.now())) self.assertFalse(f((0, 1, 2, ))) self.assertFalse(f([0, 1, 2])) self.assertFalse(f(set([0, 1, 2]))) self.assertFalse(f({'a':0, 'b':1, 'c':2})) self.assertFalse(f('hello world')) self.assertFalse(f(lambda a: a)) def test_is_not_none(self): f = type_util.is_not_none self.assertFalse(f(None)) self.assertTrue(f(True)) self.assertTrue(f(False)) self.assertTrue(f(int(0))) self.assertTrue(f(float(0.5))) self.assertTrue(f(Decimal(0.5))) self.assertTrue(f(datetime.now())) self.assertTrue(f((0, 1, 2, ))) self.assertTrue(f([0, 1, 2])) self.assertTrue(f(set([0, 1, 2]))) self.assertTrue(f({'a':0, 'b':1, 'c':2})) self.assertTrue(f('hello world')) self.assertTrue(f(lambda a: a)) def test_is_set(self): f = type_util.is_set self.assertFalse(f(None)) self.assertFalse(f(True)) self.assertFalse(f(False)) self.assertFalse(f(int(0))) self.assertFalse(f(float(0.5))) self.assertFalse(f(Decimal(0.5))) self.assertFalse(f(datetime.now())) self.assertFalse(f((0, 1, 2, ))) self.assertFalse(f([0, 1, 2])) self.assertTrue(f(set([0, 1, 2]))) self.assertFalse(f({'a':0, 'b':1, 'c':2})) self.assertFalse(f('hello world')) self.assertFalse(f(lambda a: a)) def test_is_string(self): f = type_util.is_string self.assertFalse(f(None)) self.assertFalse(f(True)) self.assertFalse(f(False)) self.assertFalse(f(int(0))) self.assertFalse(f(float(0.5))) self.assertFalse(f(Decimal(0.5))) self.assertFalse(f(datetime.now())) self.assertFalse(f((0, 1, 2, ))) self.assertFalse(f([0, 1, 2])) self.assertFalse(f(set([0, 1, 2]))) self.assertFalse(f({'a':0, 'b':1, 'c':2})) self.assertTrue(f('hello world')) self.assertFalse(f(lambda a: a)) def test_is_tuple(self): f = type_util.is_tuple self.assertFalse(f(None)) self.assertFalse(f(True)) self.assertFalse(f(False)) self.assertFalse(f(int(0))) self.assertFalse(f(float(0.5))) self.assertFalse(f(Decimal(0.5))) self.assertFalse(f(datetime.now())) self.assertTrue(f((0, 1, 2, ))) self.assertFalse(f([0, 1, 2])) self.assertFalse(f(set([0, 1, 2]))) self.assertFalse(f({'a':0, 'b':1, 'c':2})) self.assertFalse(f('hello world')) self.assertFalse(f(lambda a: a)) def test_is_uuid(self): f = type_util.is_uuid self.assertTrue(f('ca761232ed4211cebacd00aa0057b223')) self.assertTrue(f('CA761232-ED42-11CE-BACD-00AA0057B223')) self.assertTrue(f('CA761232-ED42-11CE-BACD-00AA0057B223')) self.assertFalse(f('CA761232-ED42-11CE-BACD-00AA0057B22X')) self.assertFalse(f('CA761232-ED42-11CE-BACD-00AA0057B22'))

36.272727

67

0.568475

1,586

11,172

3.941362

0.037831

0.453527

0.483763

0.06047

0.93745

0.906575

0.891857

0.880979

0.869621

0.853943

0

0.04741

0.244808

11,172

307

68

36.390879

0.693493

0.00188

0

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0.015696

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1

0

1

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null

0

1

0

10

e0d6e360cae4fbeb4d195d7b423c63bc67f830f2

13,253

py

Python

SBaaS_COBRA/stage02_physiology_pairWiseTest_postgresql_models.py

dmccloskey/SBaaS_COBRA

65635495c4fb7cc98f5c6629e495850e908ea858

[ "MIT" ]

null

SBaaS_COBRA/stage02_physiology_pairWiseTest_postgresql_models.py

dmccloskey/SBaaS_COBRA

65635495c4fb7cc98f5c6629e495850e908ea858

[ "MIT" ]

null

SBaaS_COBRA/stage02_physiology_pairWiseTest_postgresql_models.py

dmccloskey/SBaaS_COBRA

65635495c4fb7cc98f5c6629e495850e908ea858

[ "MIT" ]

null

from SBaaS_base.postgresql_orm_base import * class data_stage02_physiology_pairWiseTest(Base): __tablename__ = 'data_stage02_physiology_pairWiseTest' id = Column(Integer, Sequence('data_stage02_physiology_pairWiseTest_id_seq'), primary_key=True) analysis_id = Column(String(500)) simulation_id_1 = Column(String(500)) simulation_id_2 = Column(String(500)) #simulation_dateAndTime = Column(DateTime); #experiment_id = Column(String(50)) #model_id = Column(String(50)) #sample_name_abbreviation = Column(String(100)) rxn_id = Column(String(100)) flux_units = Column(String(50), default = 'mmol*gDW-1*hr-1'); test_stat = Column(Float) test_description = Column(String(50)); pvalue = Column(Float) pvalue_corrected = Column(Float) pvalue_corrected_description = Column(String(500)) mean = Column(Float) ci_lb = Column(Float) ci_ub = Column(Float) ci_level = Column(Float) fold_change = Column(Float) used_ = Column(Boolean); comment_ = Column(Text); __table_args__ = ( UniqueConstraint('analysis_id','simulation_id_1','simulation_id_2','rxn_id'), ) def __init__(self, row_dict_I, ): self.analysis_id=row_dict_I['analysis_id']; self.pvalue_corrected=row_dict_I['pvalue_corrected']; self.comment_=row_dict_I['comment_']; self.used_=row_dict_I['used_']; self.fold_change=row_dict_I['fold_change']; self.ci_level=row_dict_I['ci_level']; self.ci_ub=row_dict_I['ci_ub']; self.ci_lb=row_dict_I['ci_lb']; self.mean=row_dict_I['mean']; self.pvalue_corrected_description=row_dict_I['pvalue_corrected_description']; self.pvalue=row_dict_I['pvalue']; self.test_description=row_dict_I['test_description']; self.test_stat=row_dict_I['test_stat']; self.flux_units=row_dict_I['flux_units']; self.rxn_id=row_dict_I['rxn_id']; self.simulation_id_2=row_dict_I['simulation_id_2']; self.simulation_id_1=row_dict_I['simulation_id_1']; def __set__row__(self, analysis_id_I,simulation_id_1_I,simulation_id_2_I, #simulation_dateAndTime_I, #experiment_id_I,model_id_I, # sample_name_abbreviation_I, rxn_id_I,flux_units_I, mean_I, test_stat_I, test_description_I, pvalue_I, pvalue_corrected_I, pvalue_corrected_description_I, ci_lb_I, ci_ub_I, ci_level_I, fold_change_I, used__I,comment__I): self.analysis_id=analysis_id_I self.simulation_id_1=simulation_id_1_I self.simulation_id_2=simulation_id_2_I #self.simulation_dateAndTime=simulation_dateAndTime_I #self.experiment_id=experiment_id_I #self.model_id=model_id_I #self.sample_name_abbreviation=sample_name_abbreviation_I self.rxn_id=rxn_id_I self.flux_units=flux_units_I self.mean=mean_I; self.test_stat=test_stat_I; self.test_description=test_description_I; self.pvalue=pvalue_I; self.pvalue_corrected=pvalue_corrected_I; self.pvalue_corrected_description=pvalue_corrected_description_I; self.ci_lb=ci_lb_I; self.ci_ub=ci_ub_I; self.ci_level=ci_level_I; self.fold_change=fold_change_I; self.used_=used__I self.comment_=comment__I def __repr__dict__(self): return {'id':self.id, 'analysis_id':self.analysis_id, 'pvalue_corrected':self.pvalue_corrected, 'comment_':self.comment_, 'used_':self.used_, 'fold_change':self.fold_change, 'ci_level':self.ci_level, 'ci_ub':self.ci_ub, 'ci_lb':self.ci_lb, 'mean':self.mean, 'pvalue_corrected_description':self.pvalue_corrected_description, 'pvalue':self.pvalue, 'test_description':self.test_description, 'test_stat':self.test_stat, 'flux_units':self.flux_units, 'rxn_id':self.rxn_id, 'simulation_id_2':self.simulation_id_2, 'simulation_id_1':self.simulation_id_1, } def __repr__json__(self): return json.dumps(self.__repr__dict__()) class data_stage02_physiology_pairWiseTestMetabolites(Base): __tablename__ = 'data_stage02_physiology_pairWiseTestMetabolites' id = Column(Integer, Sequence('data_stage02_physiology_pairWiseTestMetabolites_id_seq'), primary_key=True) analysis_id = Column(String(500)) simulation_id_1 = Column(String(500)) simulation_id_2 = Column(String(500)) #simulation_dateAndTime = Column(DateTime); #experiment_id = Column(String(50)) #model_id = Column(String(50)) #sample_name_abbreviation = Column(String(100)) met_id = Column(String(100)) flux_units = Column(String(50), default = 'mmol*gDW-1*hr-1'); test_stat = Column(Float) test_description = Column(String(50)); pvalue = Column(Float) pvalue_corrected = Column(Float) pvalue_corrected_description = Column(String(500)) mean = Column(Float) ci_lb = Column(Float) ci_ub = Column(Float) ci_level = Column(Float) fold_change = Column(Float) used_ = Column(Boolean); comment_ = Column(Text); __table_args__ = ( UniqueConstraint('analysis_id','simulation_id_1','simulation_id_2','met_id'), ) def __init__(self, row_dict_I, ): self.analysis_id=row_dict_I['analysis_id']; self.pvalue_corrected_description=row_dict_I['pvalue_corrected_description']; self.used_=row_dict_I['used_']; self.comment_=row_dict_I['comment_']; self.test_description=row_dict_I['test_description']; self.test_stat=row_dict_I['test_stat']; self.flux_units=row_dict_I['flux_units']; self.met_id=row_dict_I['met_id']; self.simulation_id_2=row_dict_I['simulation_id_2']; self.simulation_id_1=row_dict_I['simulation_id_1']; self.pvalue=row_dict_I['pvalue']; self.pvalue_corrected=row_dict_I['pvalue_corrected']; self.fold_change=row_dict_I['fold_change']; self.ci_level=row_dict_I['ci_level']; self.ci_ub=row_dict_I['ci_ub']; self.ci_lb=row_dict_I['ci_lb']; self.mean=row_dict_I['mean']; def __set__row__(self, analysis_id_I,simulation_id_1_I,simulation_id_2_I, #simulation_dateAndTime_I, #experiment_id_I,model_id_I, # sample_name_abbreviation_I, met_id_I,flux_units_I, mean_I, test_stat_I, test_description_I, pvalue_I, pvalue_corrected_I, pvalue_corrected_description_I, ci_lb_I, ci_ub_I, ci_level_I, fold_change_I, used__I,comment__I): self.analysis_id=analysis_id_I self.simulation_id_1=simulation_id_1_I self.simulation_id_2=simulation_id_2_I #self.simulation_dateAndTime=simulation_dateAndTime_I #self.experiment_id=experiment_id_I #self.model_id=model_id_I #self.sample_name_abbreviation=sample_name_abbreviation_I self.met_id=met_id_I self.flux_units=flux_units_I self.mean=mean_I; self.test_stat=test_stat_I; self.test_description=test_description_I; self.pvalue=pvalue_I; self.pvalue_corrected=pvalue_corrected_I; self.pvalue_corrected_description=pvalue_corrected_description_I; self.ci_lb=ci_lb_I; self.ci_ub=ci_ub_I; self.ci_level=ci_level_I; self.fold_change=fold_change_I; self.used_=used__I self.comment_=comment__I def __repr__dict__(self): return {'id':self.id, 'analysis_id':self.analysis_id, 'pvalue_corrected':self.pvalue_corrected, 'comment_':self.comment_, 'used_':self.used_, 'fold_change':self.fold_change, 'ci_level':self.ci_level, 'ci_ub':self.ci_ub, 'ci_lb':self.ci_lb, 'mean':self.mean, 'pvalue_corrected_description':self.pvalue_corrected_description, 'pvalue':self.pvalue, 'test_description':self.test_description, 'test_stat':self.test_stat, 'flux_units':self.flux_units, 'met_id':self.met_id, 'simulation_id_2':self.simulation_id_2, 'simulation_id_1':self.simulation_id_1,} def __repr__json__(self): return json.dumps(self.__repr__dict__()) class data_stage02_physiology_pairWiseTestSubsystems(Base): __tablename__ = 'data_stage02_physiology_pairWiseTestSubsystems' id = Column(Integer, Sequence('data_stage02_physiology_pairWiseTestSubsystems_id_seq'), primary_key=True) analysis_id = Column(String(500)) simulation_id_1 = Column(String(500)) simulation_id_2 = Column(String(500)) #simulation_dateAndTime = Column(DateTime); #experiment_id = Column(String(50)) #model_id = Column(String(50)) #sample_name_abbreviation = Column(String(100)) subsystem_id = Column(String(100)) flux_units = Column(String(50), default = 'mmol*gDW-1*hr-1'); test_stat = Column(Float) test_description = Column(String(50)); pvalue = Column(Float) pvalue_corrected = Column(Float) pvalue_corrected_description = Column(String(500)) mean = Column(Float) ci_lb = Column(Float) ci_ub = Column(Float) ci_level = Column(Float) fold_change = Column(Float) used_ = Column(Boolean); comment_ = Column(Text); __table_args__ = ( UniqueConstraint('analysis_id','simulation_id_1','simulation_id_2','subsystem_id'), ) def __init__(self, row_dict_I, ): self.analysis_id=row_dict_I['analysis_id']; self.mean=row_dict_I['mean']; self.simulation_id_1=row_dict_I['simulation_id_1']; self.simulation_id_2=row_dict_I['simulation_id_2']; self.subsystem_id=row_dict_I['subsystem_id']; self.flux_units=row_dict_I['flux_units']; self.test_stat=row_dict_I['test_stat']; self.test_description=row_dict_I['test_description']; self.pvalue=row_dict_I['pvalue']; self.pvalue_corrected=row_dict_I['pvalue_corrected']; self.pvalue_corrected_description=row_dict_I['pvalue_corrected_description']; self.ci_lb=row_dict_I['ci_lb']; self.ci_ub=row_dict_I['ci_ub']; self.ci_level=row_dict_I['ci_level']; self.fold_change=row_dict_I['fold_change']; self.used_=row_dict_I['used_']; self.comment_=row_dict_I['comment_']; def __set__row__(self, analysis_id_I,simulation_id_1_I,simulation_id_2_I, #simulation_dateAndTime_I, #experiment_id_I,model_id_I, # sample_name_abbreviation_I, subsystem_id_I,flux_units_I, mean_I, test_stat_I, test_description_I, pvalue_I, pvalue_corrected_I, pvalue_corrected_description_I, ci_lb_I, ci_ub_I, ci_level_I, fold_change_I, used__I,comment__I): self.analysis_id=analysis_id_I self.simulation_id_1=simulation_id_1_I self.simulation_id_2=simulation_id_2_I #self.simulation_dateAndTime=simulation_dateAndTime_I #self.experiment_id=experiment_id_I #self.model_id=model_id_I #self.sample_name_abbreviation=sample_name_abbreviation_I self.subsystem_id=subsystem_id_I self.flux_units=flux_units_I self.mean=mean_I; self.test_stat=test_stat_I; self.test_description=test_description_I; self.pvalue=pvalue_I; self.pvalue_corrected=pvalue_corrected_I; self.pvalue_corrected_description=pvalue_corrected_description_I; self.ci_lb=ci_lb_I; self.ci_ub=ci_ub_I; self.ci_level=ci_level_I; self.fold_change=fold_change_I; self.used_=used__I self.comment_=comment__I def __repr__dict__(self): return {'id':self.id, 'analysis_id':self.analysis_id, 'pvalue_corrected':self.pvalue_corrected, 'comment_':self.comment_, 'used_':self.used_, 'fold_change':self.fold_change, 'ci_level':self.ci_level, 'ci_ub':self.ci_ub, 'ci_lb':self.ci_lb, 'mean':self.mean, 'pvalue_corrected_description':self.pvalue_corrected_description, 'pvalue':self.pvalue, 'test_description':self.test_description, 'test_stat':self.test_stat, 'flux_units':self.flux_units, 'subsystem_id':self.subsystem_id, 'simulation_id_2':self.simulation_id_2, 'simulation_id_1':self.simulation_id_1,} def __repr__json__(self): return json.dumps(self.__repr__dict__())

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e0d9f52967efd1175c00ac0cb93c57f9d0b93d82

32,763

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Python

qiime2/core/type/tests/test_util.py

misialq/qiime2

6d8932eda130d4a9356f977fece2e252c135d0b9

[ "BSD-3-Clause" ]

1

2021-07-09T08:58:59.000Z

qiime2/core/type/tests/test_util.py

misialq/qiime2

6d8932eda130d4a9356f977fece2e252c135d0b9

[ "BSD-3-Clause" ]

null

qiime2/core/type/tests/test_util.py

misialq/qiime2

6d8932eda130d4a9356f977fece2e252c135d0b9

[ "BSD-3-Clause" ]

null

# ---------------------------------------------------------------------------- # Copyright (c) 2016-2021, QIIME 2 development team. # # Distributed under the terms of the Modified BSD License. # # The full license is in the file LICENSE, distributed with this software. # ---------------------------------------------------------------------------- import unittest from qiime2.core.type import ( parse_primitive, Int, Float, Bool, Str, List, Set, Metadata, MetadataColumn) class TestParsePrimitiveNonCollectionsSimple(unittest.TestCase): def test_metadata_expr(self): with self.assertRaisesRegex(ValueError, 'Metadata may not be parsed'): parse_primitive(Metadata, '42') def test_metadata_column_expr(self): with self.assertRaisesRegex(ValueError, 'MetadataColumn.* may not be parsed'): parse_primitive(MetadataColumn, '42') def test_int_type_int_value(self): obs = parse_primitive(Int, '42') self.assertEqual(obs, 42) self.assertIsInstance(obs, int) def test_float_type_int_value(self): obs = parse_primitive(Float, '42') self.assertEqual(obs, 42.0) self.assertIsInstance(obs, float) def test_bool_type_int_value(self): with self.assertRaisesRegex(ValueError, 'Could not coerce'): parse_primitive(Bool, '42') def test_str_type_int_value(self): obs = parse_primitive(Str, '42') self.assertEqual(obs, '42') self.assertIsInstance(obs, str) def test_int_type_float_value(self): with self.assertRaisesRegex(ValueError, 'Could not coerce'): parse_primitive(Int, '42.0') def test_float_type_float_value(self): obs = parse_primitive(Float, '42.0') self.assertEqual(obs, 42.0) self.assertIsInstance(obs, float) def test_bool_type_float_value(self): with self.assertRaisesRegex(ValueError, 'Could not coerce'): parse_primitive(Bool, '42.0') def test_str_type_float_value(self): obs = parse_primitive(Str, '42.0') self.assertEqual(obs, '42.0') self.assertIsInstance(obs, str) def test_int_type_bool_value(self): with self.assertRaisesRegex(ValueError, 'Could not coerce'): parse_primitive(Int, 'True') def test_float_type_bool_value(self): with self.assertRaisesRegex(ValueError, 'Could not coerce'): parse_primitive(Float, 'True') def test_bool_type_bool_value(self): obs = parse_primitive(Bool, 'True') self.assertEqual(obs, True) self.assertIsInstance(obs, bool) def test_str_type_bool_value(self): obs = parse_primitive(Str, 'True') self.assertEqual(obs, 'True') self.assertIsInstance(obs, str) def test_int_type_str_value(self): with self.assertRaisesRegex(ValueError, 'Could not coerce'): parse_primitive(Int, 'peanut') def test_float_type_str_value(self): with self.assertRaisesRegex(ValueError, 'Could not coerce'): parse_primitive(Float, 'peanut') def test_bool_type_str_value(self): with self.assertRaisesRegex(ValueError, 'Could not coerce'): parse_primitive(Bool, 'peanut') def test_str_type_str_value(self): obs = parse_primitive(Str, 'peanut') self.assertEqual(obs, 'peanut') self.assertIsInstance(obs, str) class TestParsePrimitiveNonCollectionNonStringInputs(unittest.TestCase): def test_int_type_int_value(self): obs = parse_primitive(Int, 1) self.assertEqual(obs, 1) self.assertIsInstance(obs, int) def test_float_type_float_value(self): obs = parse_primitive(Float, 3.3) self.assertEqual(obs, 3.3) self.assertIsInstance(obs, float) def test_bool_type_bool_value(self): obs = parse_primitive(Bool, True) self.assertEqual(obs, True) self.assertIsInstance(obs, bool) def test_str_type_str_value(self): obs = parse_primitive(Str, 'peanut') self.assertEqual(obs, 'peanut') self.assertIsInstance(obs, str) def test_int_type_bool_value(self): with self.assertRaisesRegex(ValueError, 'Could not coerce'): parse_primitive(Int, True) class TestParsePrimitiveNonCollectionsSimpleUnions(unittest.TestCase): def setUp(self): super().setUp() self.exprs = [ Int | Bool, Int | Str, Float | Bool, Float | Str, Bool | Str, ] def test_int_union_float_expr_int_value(self): # Int | Float == Float obs = parse_primitive(Int | Float, '42') self.assertEqual(obs, 42.0) self.assertIsInstance(obs, float) def test_int_union_float_expr_float_value(self): # Int | Float == Float obs = parse_primitive(Int | Float, '42.0') self.assertEqual(obs, 42.0) self.assertIsInstance(obs, float) def test_int_union_float_expr_bool_value(self): # Int | Float == Float with self.assertRaisesRegex(ValueError, 'Could not coerce'): parse_primitive(Int | Float, 'True') def test_int_union_float_expr_str_value(self): # Int | Float == Float with self.assertRaisesRegex(ValueError, 'Could not coerce'): parse_primitive(Int | Float, 'peanut') def test_simple_unions_with_int_value(self): for expr in self.exprs: with self.subTest(expr=expr): obs = parse_primitive(expr, '42') self.assertEqual(obs, 42) self.assertIsInstance(obs, int) def test_simple_unions_with_float_value(self): for expr in self.exprs: with self.subTest(expr=expr): obs = parse_primitive(expr, '42.1') self.assertEqual(obs, 42.1) self.assertIsInstance(obs, float) def test_simple_unions_with_bool_value(self): for expr in self.exprs: with self.subTest(expr=expr): obs = parse_primitive(expr, 'True') self.assertEqual(obs, True) self.assertIsInstance(obs, bool) def test_simple_unions_with_str_value(self): for expr in self.exprs: with self.subTest(expr=expr): obs = parse_primitive(expr, 'peanut') self.assertEqual(obs, 'peanut') self.assertIsInstance(obs, str) class TestParsePrimitiveCollectionsSimple(unittest.TestCase): def test_list_of_int(self): obs = parse_primitive(List[Int], ('1', '2', '3')) self.assertEqual(obs, [1, 2, 3]) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], int) def test_list_of_int_bad_value_variant_a(self): with self.assertRaisesRegex(ValueError, 'Could not coerce'): parse_primitive(List[Int], ('True', '2', '3')) def test_list_of_int_bad_value_variant_b(self): with self.assertRaisesRegex(ValueError, 'Could not coerce'): parse_primitive(List[Int], ('1', '2', 'False')) def test_set_of_int(self): obs = parse_primitive(Set[Int], ('1', '2', '3')) self.assertEqual(obs, {1, 2, 3}) self.assertIsInstance(obs, set) self.assertIsInstance(obs.pop(), int) def test_list_of_float(self): obs = parse_primitive(List[Float], ('1.0', '2.0', '3.0')) self.assertEqual(obs, [1.0, 2.0, 3.0]) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], float) def test_set_of_float(self): obs = parse_primitive(Set[Float], ('1.0', '2.0', '3.0')) self.assertEqual(obs, {1.0, 2.0, 3.0}) self.assertIsInstance(obs, set) self.assertIsInstance(obs.pop(), float) def test_list_of_bool(self): obs = parse_primitive(List[Bool], ('True', 'False', 'True')) self.assertEqual(obs, [True, False, True]) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], bool) def test_set_of_bool(self): obs = parse_primitive(Set[Bool], ('True', 'False')) self.assertEqual(obs, {True, False}) self.assertIsInstance(obs, set) self.assertIsInstance(obs.pop(), bool) def test_list_of_str(self): obs = parse_primitive(List[Str], ('peanut', 'the', 'dog')) self.assertEqual(obs, ['peanut', 'the', 'dog']) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], str) def test_set_of_str(self): obs = parse_primitive(Set[Str], ('peanut', 'the', 'dog')) self.assertEqual(obs, {'peanut', 'the', 'dog'}) self.assertIsInstance(obs, set) self.assertIsInstance(obs.pop(), str) # The next tests _aren't_ monomorphic, because unions of Int and Float # always yield a Float (List[Int] | List[Float] == List[Float]). def test_list_int_or_float_with_int_value(self): obs = parse_primitive(List[Int] | List[Float], ('1', '2', '3')) self.assertEqual(obs, [1.0, 2.0, 3.0]) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], float) def test_set_int_or_float_with_int_value(self): obs = parse_primitive(Set[Int] | Set[Float], ('1', '2', '3')) self.assertEqual(obs, {1.0, 2.0, 3.0}) self.assertIsInstance(obs, set) self.assertIsInstance(obs.pop(), float) def test_list_int_or_float_with_float_value(self): obs = parse_primitive(List[Int] | List[Float], ('1.1', '2.2', '3.3')) self.assertEqual(obs, [1.1, 2.2, 3.3]) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], float) def test_set_int_or_float_with_float_value(self): obs = parse_primitive(Set[Int] | Set[Float], ('1.1', '2.2', '3.3')) self.assertEqual(obs, {1.1, 2.2, 3.3}) self.assertIsInstance(obs, set) self.assertIsInstance(obs.pop(), float) def test_list_int_or_float_int_value(self): obs = parse_primitive(List[Int | Float], ('1', '2', '3')) self.assertEqual(obs, [1.0, 2.0, 3.0]) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], float) def test_set_int_or_float_int_value(self): obs = parse_primitive(Set[Int | Float], ('1', '2', '3')) self.assertEqual(obs, {1.0, 2.0, 3.0}) self.assertIsInstance(obs, set) self.assertIsInstance(obs.pop(), float) class TestParsePrimitiveCollectionsMonomorphic(unittest.TestCase): def test_list_int_or_bool_with_int_value(self): obs = parse_primitive(List[Int] | List[Bool], ('1', '2', '3')) self.assertEqual(obs, [1, 2, 3]) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], int) def test_list_int_or_bool_with_bool_value(self): obs = parse_primitive(List[Int] | List[Bool], ('True', 'False', 'True')) self.assertEqual(obs, [True, False, True]) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], bool) def test_list_int_or_bool_with_mixed_value_variant_a(self): with self.assertRaisesRegex(ValueError, 'Could not coerce'): parse_primitive(List[Int] | List[Bool], ('True', '2', '3')) def test_list_int_or_bool_with_mixed_value_variant_b(self): with self.assertRaisesRegex(ValueError, 'Could not coerce'): parse_primitive(List[Int] | List[Bool], ('1', '2', 'True')) def test_list_int_or_bool_with_mixed_value_variant_c(self): with self.assertRaisesRegex(ValueError, 'Could not coerce'): parse_primitive(List[Int] | List[Bool], ('False', '2', 'True')) def test_set_int_or_bool_with_int_value(self): obs = parse_primitive(Set[Int] | Set[Bool], ('1', '2', '3')) self.assertEqual(obs, {1, 2, 3}) self.assertIsInstance(obs, set) self.assertIsInstance(obs.pop(), int) def test_set_int_or_bool_with_bool_value(self): obs = parse_primitive(Set[Int] | Set[Bool], ('True', 'False')) self.assertEqual(obs, {True, False}) self.assertIsInstance(obs, set) self.assertIsInstance(obs.pop(), bool) def test_list_int_or_str_with_int_value(self): obs = parse_primitive(List[Int] | List[Str], ('1', '2', '3')) self.assertEqual(obs, [1, 2, 3]) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], int) def test_list_int_or_str_with_str_value(self): obs = parse_primitive(List[Int] | List[Str], ('peanut', 'the', 'dog')) self.assertEqual(obs, ['peanut', 'the', 'dog']) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], str) def test_list_int_or_str_with_mixed_value_variant_a(self): obs = parse_primitive(List[Int] | List[Str], ('1', 'the', 'dog')) self.assertEqual(obs, ['1', 'the', 'dog']) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], str) self.assertIsInstance(obs[1], str) def test_list_int_or_str_with_mixed_value_variant_b(self): obs = parse_primitive(List[Int] | List[Str], ('peanut', 'the', '1')) self.assertEqual(obs, ['peanut', 'the', '1']) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], str) self.assertIsInstance(obs[2], str) def test_set_int_or_str_with_int_value(self): obs = parse_primitive(Set[Int] | Set[Str], ('1', '2', '3')) self.assertEqual(obs, {1, 2, 3}) self.assertIsInstance(obs, set) self.assertIsInstance(obs.pop(), int) def test_set_int_or_str_with_str_value(self): obs = parse_primitive(Set[Int] | Set[Str], ('peanut', 'the', 'dog')) self.assertEqual(obs, {'peanut', 'the', 'dog'}) self.assertIsInstance(obs, set) self.assertIsInstance(obs.pop(), str) def test_list_float_or_bool_with_float_value(self): obs = parse_primitive(List[Float] | List[Bool], ('1.1', '2.2', '3.3')) self.assertEqual(obs, [1.1, 2.2, 3.3]) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], float) def test_list_float_or_bool_with_bool_value(self): obs = parse_primitive(List[Float] | List[Bool], ('True', 'False', 'True')) self.assertEqual(obs, [True, False, True]) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], bool) def test_list_float_or_bool_with_mixed_value_variant_a(self): with self.assertRaisesRegex(ValueError, 'Could not coerce'): parse_primitive(List[Float] | List[Bool], ('1.1', 'False', 'True')) def test_list_float_or_bool_with_mixed_value_variant_b(self): with self.assertRaisesRegex(ValueError, 'Could not coerce'): parse_primitive(List[Float] | List[Bool], ('True', 'False', '3.3')) def test_set_float_or_bool_with_float_value(self): obs = parse_primitive(Set[Float] | Set[Bool], ('1.1', '2.2', '3.3')) self.assertEqual(obs, {1.1, 2.2, 3.3}) self.assertIsInstance(obs, set) self.assertIsInstance(obs.pop(), float) def test_set_float_or_bool_with_bool_value(self): obs = parse_primitive(Set[Float] | Set[Bool], ('True', 'False', 'True')) self.assertEqual(obs, {True, False}) self.assertIsInstance(obs, set) self.assertIsInstance(obs.pop(), bool) def test_list_float_or_str_with_float_value(self): obs = parse_primitive(List[Float] | List[Str], ('1.1', '2.2', '3.3')) self.assertEqual(obs, [1.1, 2.2, 3.3]) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], float) def test_list_float_or_str_with_str_value(self): obs = parse_primitive(List[Float] | List[Str], ('peanut', 'the', 'dog')) self.assertEqual(obs, ['peanut', 'the', 'dog']) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], str) def test_list_float_or_str_with_mixed_value_variant_a(self): obs = parse_primitive(List[Float] | List[Str], ('1.1', 'the', 'dog')) self.assertEqual(obs, ['1.1', 'the', 'dog']) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], str) def test_list_float_or_str_with_mixed_value_variant_b(self): obs = parse_primitive(List[Float] | List[Str], ('peanut', 'the', '3.3')) self.assertEqual(obs, ['peanut', 'the', '3.3']) self.assertIsInstance(obs, list) self.assertIsInstance(obs[-1], str) def test_set_float_or_str_with_float_value(self): obs = parse_primitive(Set[Float] | Set[Str], ('1.1', '2.2', '3.3')) self.assertEqual(obs, {1.1, 2.2, 3.3}) self.assertIsInstance(obs, set) self.assertIsInstance(obs.pop(), float) def test_set_float_or_str_with_str_value(self): obs = parse_primitive(Set[Float] | Set[Str], ('peanut', 'the', 'dog')) self.assertEqual(obs, {'peanut', 'the', 'dog'}) self.assertIsInstance(obs, set) self.assertIsInstance(obs.pop(), str) def test_list_bool_or_str_with_bool_value(self): obs = parse_primitive(List[Bool] | List[Str], ('True', 'False', 'True')) self.assertEqual(obs, [True, False, True]) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], bool) def test_list_bool_or_str_with_str_value(self): obs = parse_primitive(List[Bool] | List[Str], ('peanut', 'the', 'dog')) self.assertEqual(obs, ['peanut', 'the', 'dog']) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], str) def test_list_bool_or_str_with_mixed_value_variant_a(self): obs = parse_primitive(List[Bool] | List[Str], ('True', 'the', 'dog')) self.assertEqual(obs, ['True', 'the', 'dog']) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], str) def test_list_bool_or_str_with_mixed_value_variant_b(self): obs = parse_primitive(List[Bool] | List[Str], ('peanut', 'the', 'True')) self.assertEqual(obs, ['peanut', 'the', 'True']) self.assertIsInstance(obs, list) self.assertIsInstance(obs[-1], str) def test_set_bool_or_str_with_bool_value(self): obs = parse_primitive(Set[Bool] | Set[Str], ('True', 'False', 'True')) self.assertEqual(obs, {True, False}) self.assertIsInstance(obs, set) self.assertIsInstance(obs.pop(), bool) def test_set_bool_or_str_with_str_value(self): obs = parse_primitive(Set[Bool] | Set[Str], ('peanut', 'the', 'dog')) self.assertEqual(obs, {'peanut', 'the', 'dog'}) self.assertIsInstance(obs, set) self.assertIsInstance(obs.pop(), str) def test_list_bool_or_str_with_mixed_value(self): obs = parse_primitive(List[Bool] | List[Str], ('peanut', 'the', 'True')) self.assertEqual(obs, ['peanut', 'the', 'True']) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], str) self.assertIsInstance(obs[-1], str) class TestParsePrimitiveCollectionsComposite(unittest.TestCase): def test_list_int_or_bool_with_int_value(self): obs = parse_primitive(List[Int | Bool], ('1', '2', '3')) self.assertEqual(obs, [1, 2, 3]) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], int) def test_list_int_or_bool_with_float_value(self): with self.assertRaisesRegex(ValueError, 'Could not coerce'): parse_primitive(List[Int | Bool], ('1.1', '2.2', '3.3')) def test_list_int_or_bool_with_bool_value(self): obs = parse_primitive(List[Int | Bool], ('True', 'False', 'True')) self.assertEqual(obs, [True, False, True]) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], bool) def test_list_int_or_bool_with_str_value(self): with self.assertRaisesRegex(ValueError, 'Could not coerce'): parse_primitive(List[Int | Bool], ('peanut', 'the', 'dog')) def test_list_int_or_bool_with_mixed_value(self): obs = parse_primitive(List[Int | Bool], ('1', 'False', '2', 'True')) self.assertEqual(obs, [1, False, 2, True]) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], int) self.assertIsInstance(obs[1], bool) def test_list_int_or_bool_with_mixed_value_variant_a(self): with self.assertRaisesRegex(ValueError, 'Could not coerce'): parse_primitive(List[Int | Bool], ('peanut', 'False', '2', 'True')) def test_list_int_or_bool_with_mixed_value_variant_b(self): with self.assertRaisesRegex(ValueError, 'Could not coerce'): parse_primitive(List[Int | Bool], ('1', 'False', '2', 'peanut')) def test_list_int_or_bool_with_bad_mix_value(self): with self.assertRaisesRegex(ValueError, 'Could not coerce'): parse_primitive(List[Int | Bool], ('1', 'True', 'dog')) def test_set_int_or_bool_with_int_value(self): obs = parse_primitive(Set[Int | Bool], ('1', '2', '3')) self.assertEqual(obs, {1, 2, 3}) self.assertIsInstance(obs, set) self.assertIsInstance(obs.pop(), int) def test_set_int_or_bool_with_bool_value(self): obs = parse_primitive(Set[Int | Bool], ('True', 'False', 'True')) self.assertEqual(obs, {True, False}) self.assertIsInstance(obs, set) self.assertIsInstance(obs.pop(), bool) def test_set_int_or_bool_with_mixed_value(self): obs = parse_primitive(Set[Int | Bool], ('1', 'False', '2', 'True')) self.assertEqual(obs, {1, False, 2, True}) self.assertIsInstance(obs, set) self.assertIsInstance(obs.pop(), bool) self.assertIsInstance(obs.pop(), int) def test_list_int_or_str_with_int_value(self): obs = parse_primitive(List[Int | Str], ('1', '2', '3')) self.assertEqual(obs, [1, 2, 3]) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], int) def test_list_int_or_str_with_str_value(self): obs = parse_primitive(List[Int | Str], ('peanut', 'the', 'dog')) self.assertEqual(obs, ['peanut', 'the', 'dog']) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], str) def test_list_int_or_str_with_mixed_value_variant_a(self): obs = parse_primitive(List[Int | Str], ('1', 'the', 'dog')) self.assertEqual(obs, [1, 'the', 'dog']) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], int) self.assertIsInstance(obs[1], str) def test_list_int_or_str_with_mixed_value_variant_b(self): obs = parse_primitive(List[Int | Str], ('peanut', 'the', '1')) self.assertEqual(obs, ['peanut', 'the', 1]) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], str) self.assertIsInstance(obs[2], int) def test_set_int_or_str_with_int_value(self): obs = parse_primitive(Set[Int | Str], ('1', '2', '3')) self.assertEqual(obs, {1, 2, 3}) self.assertIsInstance(obs, set) self.assertIsInstance(obs.pop(), int) def test_set_int_or_str_with_str_value(self): obs = parse_primitive(Set[Int | Str], ('peanut', 'the', 'dog')) self.assertEqual(obs, {'peanut', 'the', 'dog'}) self.assertIsInstance(obs, set) self.assertIsInstance(obs.pop(), str) def test_set_int_or_str_with_mixed_value(self): obs = parse_primitive(Set[Int | Str], ('1', 'the', '2', 'dog')) self.assertEqual(obs, {1, 'the', 2, 'dog'}) self.assertIsInstance(obs, set) def test_list_float_or_bool_with_float_value(self): obs = parse_primitive(List[Float | Bool], ('1.1', '2.2', '3.3')) self.assertEqual(obs, [1.1, 2.2, 3.3]) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], float) def test_list_float_or_bool_with_bool_value(self): obs = parse_primitive(List[Float | Bool], ('True', 'False', 'True')) self.assertEqual(obs, [True, False, True]) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], bool) def test_list_float_or_bool_with_mixed_value_variant_a(self): obs = parse_primitive(List[Float | Bool], ('True', '2.2', '3.3')) self.assertEqual(obs, [True, 2.2, 3.3]) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], bool) self.assertIsInstance(obs[1], float) def test_list_float_or_bool_with_mixed_value_variant_b(self): obs = parse_primitive(List[Float | Bool], ('1.1', '2.2', 'False')) self.assertEqual(obs, [1.1, 2.2, False]) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], float) self.assertIsInstance(obs[-1], bool) def test_list_float_or_bool_with_bad_mix_value(self): with self.assertRaisesRegex(ValueError, 'Could not coerce'): parse_primitive(List[Float | Bool], ('1.1', '2.2', 'peanut')) def test_set_float_or_bool_with_float_value(self): obs = parse_primitive(Set[Float | Bool], ('1.1', '2.2', '3.3')) self.assertEqual(obs, {1.1, 2.2, 3.3}) self.assertIsInstance(obs, set) self.assertIsInstance(obs.pop(), float) def test_set_float_or_bool_with_bool_value(self): obs = parse_primitive(Set[Float | Bool], ('True', 'False', 'True')) self.assertEqual(obs, {True, False}) self.assertIsInstance(obs, set) self.assertIsInstance(obs.pop(), bool) def test_list_float_or_str_with_float_value(self): obs = parse_primitive(List[Float | Str], ('1.1', '2.2', '3.3')) self.assertEqual(obs, [1.1, 2.2, 3.3]) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], float) def test_list_float_or_str_with_str_value(self): obs = parse_primitive(List[Float | Str], ('peanut', 'the', 'dog')) self.assertEqual(obs, ['peanut', 'the', 'dog']) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], str) def test_list_float_or_str_with_mixed_value_variant_a(self): obs = parse_primitive(List[Float | Str], ('peanut', '2.2', '3.3')) self.assertEqual(obs, ['peanut', 2.2, 3.3]) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], str) self.assertIsInstance(obs[1], float) def test_list_float_or_str_with_mixed_value_variant_b(self): obs = parse_primitive(List[Float | Str], ('1.1', '2.2', 'dog')) self.assertEqual(obs, [1.1, 2.2, 'dog']) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], float) self.assertIsInstance(obs[-1], str) def test_set_float_or_str_with_float_value(self): obs = parse_primitive(Set[Float | Str], ('1.1', '2.2', '3.3')) self.assertEqual(obs, {1.1, 2.2, 3.3}) self.assertIsInstance(obs, set) self.assertIsInstance(obs.pop(), float) def test_set_float_or_str_with_str_value(self): obs = parse_primitive(Set[Float | Str], ('peanut', 'the', 'dog')) self.assertEqual(obs, {'peanut', 'the', 'dog'}) self.assertIsInstance(obs, set) self.assertIsInstance(obs.pop(), str) def test_list_bool_or_str_with_bool_value(self): obs = parse_primitive(List[Bool | Str], ('True', 'False', 'True')) self.assertEqual(obs, [True, False, True]) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], bool) def test_list_bool_or_str_with_str_value(self): obs = parse_primitive(List[Bool | Str], ('peanut', 'the', 'dog')) self.assertEqual(obs, ['peanut', 'the', 'dog']) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], str) def test_list_bool_or_str_with_mixed_value_variant_a(self): obs = parse_primitive(List[Bool | Str], ('True', 'the', 'dog')) self.assertEqual(obs, [True, 'the', 'dog']) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], bool) self.assertIsInstance(obs[-1], str) def test_list_bool_or_str_with_mixed_value_variant_b(self): obs = parse_primitive(List[Bool | Str], ('peanut', 'the', 'True')) self.assertEqual(obs, ['peanut', 'the', True]) self.assertIsInstance(obs, list) self.assertIsInstance(obs[0], str) self.assertIsInstance(obs[-1], bool) def test_set_bool_or_str_with_bool_value(self): obs = parse_primitive(Set[Bool | Str], ('True', 'False', 'True')) self.assertEqual(obs, {True, False}) self.assertIsInstance(obs, set) self.assertIsInstance(obs.pop(), bool) def test_set_bool_or_str_with_str_value(self): obs = parse_primitive(Set[Bool | Str], ('peanut', 'the', 'dog')) self.assertEqual(obs, {'peanut', 'the', 'dog'}) self.assertIsInstance(obs, set) self.assertIsInstance(obs.pop(), str) class TestParsePrimitiveCollectionsComplex(unittest.TestCase): def test_list_int_bool_or_list_float_with_bool_int_value(self): obs = parse_primitive(List[Int | Bool] | List[Float], ('1', '2', 'True', 'False')) self.assertEqual(obs, [1, 2, True, False]) def test_list_int_bool_or_list_float_with_float_value(self): obs = parse_primitive(List[Int | Bool] | List[Float], ('1.1', '2.2', '3.3', '4.4')) self.assertEqual(obs, [1.1, 2.2, 3.3, 4.4]) def test_list_int_bool_or_list_float_with_bad_value(self): with self.assertRaisesRegex(ValueError, 'Could not coerce'): parse_primitive(List[Int | Bool] | List[Float], ('1', '2.2', 'True', 'False')) def test_list_int_str_or_list_float_with_str_int_value(self): obs = parse_primitive(List[Int | Str] | List[Float], ('1', '2', 'peanut', 'the')) self.assertEqual(obs, [1, 2, 'peanut', 'the']) def test_list_int_str_or_list_float_with_float_value(self): obs = parse_primitive(List[Int | Str] | List[Float], ('1.1', '2.2', '3.3', '4.4')) self.assertEqual(obs, [1.1, 2.2, 3.3, 4.4]) def test_list_int_str_or_list_float_str_with_float_value(self): obs = parse_primitive(List[Int | Str] | List[Float | Str], ('1.1', '2.2', '3.3', '4.4')) self.assertEqual(obs, [1.1, 2.2, 3.3, 4.4]) def test_list_int_str_or_list_float_str_bool_with_float_value(self): obs = parse_primitive(List[Int | Str] | List[Float | Str | Bool], ('1.1', '2.2', '3.3', '4.4')) self.assertEqual(obs, [1.1, 2.2, 3.3, 4.4]) def test_list_int_str_or_list_float_str_bool_with_float_str_value(self): obs = parse_primitive(List[Int | Str] | List[Float | Str | Bool], ('1.1', '2.2', 'the', 'peanut')) self.assertEqual(obs, [1.1, 2.2, 'the', 'peanut']) def test_list_int_str_or_list_float_str_bool_with_float_bool_value(self): obs = parse_primitive(List[Int | Str] | List[Float | Str | Bool], ('1.1', '2.2', 'True', 'False')) self.assertEqual(obs, [1.1, 2.2, True, False]) def test_list_int_str_or_list_float_with_mixed_value(self): obs = parse_primitive(List[Int | Str] | List[Float], ('1.1', '2', 'True', 'peanut')) self.assertEqual(obs, ['1.1', 2, 'True', 'peanut']) def test_list_float_bool_or_list_str_with_float_bool_value(self): obs = parse_primitive(List[Float | Bool] | List[Int], ('1', '2', 'True', 'False')) self.assertEqual(obs, [1, 2, True, False]) def test_list_float_bool_or_list_str_with_int_value(self): obs = parse_primitive(List[Float | Bool] | List[Int], ('1', '2', '3', '4')) self.assertEqual(obs, [1, 2, 3, 4]) def test_list_float_bool_or_list_str_with_bad_value(self): with self.assertRaisesRegex(ValueError, 'Could not coerce'): parse_primitive(List[Float | Bool] | List[Int], ('1', '2.2', 'True', 'peanut')) def test_set_int_bool_or_list_float_with_bool_int_value(self): obs = parse_primitive(Set[Int | Bool] | Set[Float], ('1', '2', 'True', 'False')) self.assertEqual(obs, {1, 2, True, False}) if __name__ == '__main__': unittest.main()

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0

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9

e0ebe32bde903e9a3c0b1621fff9a50dc1015bac

4,955

py

Python

routes/ocr.py

moonrailgun/ai-api

08a2216187d7c2ac1d689ac3137a5617349f5bb1

[ "MIT" ]

null

routes/ocr.py

moonrailgun/ai-api

08a2216187d7c2ac1d689ac3137a5617349f5bb1

[ "MIT" ]

null

routes/ocr.py

moonrailgun/ai-api

08a2216187d7c2ac1d689ac3137a5617349f5bb1

[ "MIT" ]

null

# -*- coding: utf-8 -*- from flask import request, jsonify from flask.blueprints import Blueprint from ai_clients import ocr_client import base64 ocr = Blueprint('ocr', __name__) ALLOWED_EXTENSIONS = ['png', 'jpg', 'bmp'] def allowed_file(filename): return '.' in filename and filename.rsplit('.',1)[1] in ALLOWED_EXTENSIONS @ocr.route('/general/url', methods=['post']) def general_url(): data = request.get_json() url = data.get('url') language_type = data.get('language_type', 'CHN_ENG') detect_direction = data.get('detect_direction', False) detect_language = data.get('detect_language', False) probability = data.get('probability', False) if not url: return jsonify({ 'result': False, 'msg': u'缺少url', }) res = ocr_client.basicGeneralUrl(url, { 'language_type': language_type, 'detect_direction': detect_direction, 'detect_language': detect_language, 'probability': probability, }) return jsonify({ 'result': True, 'data': res, }) @ocr.route('/general/base64', methods=['post']) def general_base64(): data = request.get_json() base64str = data.get('base64') language_type = data.get('language_type', 'CHN_ENG') detect_direction = data.get('detect_direction', False) detect_language = data.get('detect_language', False) probability = data.get('probability', False) if not base64str: return jsonify({ 'result': False, 'msg': u'缺少base64', }) if ',' in base64str: base64str = base64str.rsplit(',', 1)[1] image = base64.b64decode(base64str) # 将base64解码 res = ocr_client.basicGeneral(image, { 'language_type': language_type, 'detect_direction': detect_direction, 'detect_language': detect_language, 'probability': probability, }) if res.get('error_code'): return jsonify({ 'result': False, 'msg': res.get('error_msg', ''), }) return jsonify({ 'result': True, 'data': res, }) @ocr.route('/general/image', methods=['post']) def general_image(): image = request.files.get('image') language_type = request.form.get('language_type', 'CHN_ENG') detect_direction = request.form.get('detect_direction', False) detect_language = request.form.get('detect_language', False) probability = request.form.get('probability', False) if not image: return jsonify({ 'result': False, 'msg': u'缺少image', }) if not(image and allowed_file(image.filename)): return jsonify({ 'result': False, 'msg': u'文件上传失败,只允许jpg/png/bmp', }) # 不存储 data = image.read() res = ocr_client.basicGeneral(data, { 'language_type': language_type, 'detect_direction': detect_direction, 'detect_language': detect_language, 'probability': probability, }) if res.get('error_code'): return jsonify({ 'result': False, 'msg': res.get('error_msg', ''), }) return jsonify({ 'result': True, 'data': res, }) @ocr.route('/accurate/base64', methods=['post']) def accurate_base64(): data = request.get_json() base64str = data.get('base64') detect_direction = data.get('detect_direction', False) probability = data.get('probability', False) if not base64str: return jsonify({ 'result': False, 'msg': u'缺少base64', }) if ',' in base64str: base64str = base64str.rsplit(',', 1)[1] image = base64.b64decode(base64str) # 将base64解码 res = ocr_client.basicAccurate(image, { 'detect_direction': detect_direction, 'probability': probability, }) if res.get('error_code'): return jsonify({ 'result': False, 'msg': res.get('error_msg', ''), }) return jsonify({ 'result': True, 'data': res, }) @ocr.route('/accurate/image', methods=['post']) def accurate_image(): image = request.files.get('image') detect_direction = request.form.get('detect_direction', False) probability = request.form.get('probability', False) if not image: return jsonify({ 'result': False, 'msg': u'缺少image', }) if not(image and allowed_file(image.filename)): return jsonify({ 'result': False, 'msg': u'文件上传失败,只允许jpg/png/bmp', }) # 不存储 data = image.read() res = ocr_client.basicAccurate(data, { 'detect_direction': detect_direction, 'probability': probability, }) if res.get('error_code'): return jsonify({ 'result': False, 'msg': res.get('error_msg', ''), }) return jsonify({ 'result': True, 'data': res, })

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py

Python

gmr/tests/test_sklearn.py

danielchen-pyc/gmr

6d87623cbc642fbdfab4044ed40cbabed12f3986

[ "BSD-3-Clause" ]

99

2015-02-25T12:25:14.000Z

2022-02-11T15:27:29.000Z

gmr/tests/test_sklearn.py

danielchen-pyc/gmr

6d87623cbc642fbdfab4044ed40cbabed12f3986

[ "BSD-3-Clause" ]

29

2015-04-30T23:37:14.000Z

2022-02-04T20:50:11.000Z

gmr/tests/test_sklearn.py

danielchen-pyc/gmr

6d87623cbc642fbdfab4044ed40cbabed12f3986

[ "BSD-3-Clause" ]

37

2015-02-25T12:25:14.000Z

2021-12-15T08:00:17.000Z

import numpy as np from numpy.testing import assert_array_almost_equal from gmr.utils import check_random_state from nose.tools import assert_less, assert_greater from nose.plugins.skip import SkipTest def test_sklearn_regression(): """Test regression with GaussianMixtureRegressor.""" try: from gmr.sklearn import GaussianMixtureRegressor except ImportError: raise SkipTest("sklearn is not available") random_state = check_random_state(0) n_samples = 200 x = np.linspace(0, 2, n_samples)[:, np.newaxis] y1 = 3 * x[:n_samples // 2] + 1 y2 = -3 * x[n_samples // 2:] + 7 noise = random_state.randn(n_samples, 1) * 0.01 y = np.vstack((y1, y2)) + noise gmr = GaussianMixtureRegressor(n_components=2, random_state=random_state) gmr.fit(x, y) assert_array_almost_equal(gmr.gmm_.priors, 0.5 * np.ones(2), decimal=2) assert_array_almost_equal(gmr.gmm_.means[0], np.array([0.5, 2.5]), decimal=2) assert_array_almost_equal(gmr.gmm_.means[1], np.array([1.5, 2.5]), decimal=1) pred = gmr.predict(x) mse = np.sum((y - pred) ** 2) / n_samples assert_less(mse, 0.01) def test_sklearn_regression_with_2d_input(): """Test regression with GaussianMixtureRegressor and two-dimensional input.""" try: from gmr.sklearn import GaussianMixtureRegressor except ImportError: raise SkipTest("sklearn is not available") random_state = check_random_state(0) n_samples = 200 x = np.linspace(0, 2, n_samples)[:, np.newaxis] y1 = 3 * x[:n_samples // 2] + 1 y2 = -3 * x[n_samples // 2:] + 7 noise = random_state.randn(n_samples, 1) * 0.01 y = np.vstack((y1, y2)) + noise gmr = GaussianMixtureRegressor(n_components=2, random_state=random_state) gmr.fit(x, y) pred = gmr.predict(x) mse = np.sum((y - pred) ** 2) / n_samples assert_less(mse, 0.01) def test_sklearn_regression_with_1d_output(): """Test regression with GaussianMixtureRegressor and two-dimensional input.""" try: from gmr.sklearn import GaussianMixtureRegressor except ImportError: raise SkipTest("sklearn is not available") random_state = check_random_state(0) n_samples = 200 x = np.linspace(0, 2, n_samples)[:, np.newaxis] y = 3 * x + 1 y = y.flatten() gmr = GaussianMixtureRegressor(n_components=1, random_state=random_state) gmr.fit(x, y) pred = gmr.predict(x) mse = np.sum((y - pred) ** 2) / n_samples assert_greater(mse, 0.01) def test_sklearn_regression_without_noise(): """Test regression without noise.""" try: from gmr.sklearn import GaussianMixtureRegressor except ImportError: raise SkipTest("sklearn is not available") random_state = 0 n_samples = 200 x = np.linspace(0, 2, n_samples)[:, np.newaxis] y1 = 3 * x[:n_samples // 2] + 1 y2 = -3 * x[n_samples // 2:] + 7 y = np.vstack((y1, y2)) gmr = GaussianMixtureRegressor(n_components=2, random_state=random_state) gmr.fit(x, y) assert_array_almost_equal(gmr.gmm_.priors, 0.5 * np.ones(2), decimal=2) assert_array_almost_equal(gmr.gmm_.means[0], np.array([1.5, 2.5]), decimal=2) assert_array_almost_equal(gmr.gmm_.means[1], np.array([0.5, 2.5]), decimal=1) pred = gmr.predict(x) mse = np.sum((y - pred) ** 2) / n_samples assert_less(mse, 0.01)

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1

0

null

0

7

e80c070fae5a6faf2f73bd135663726cf653b4dc

1,849

py

Python

pytest_strings/__init__.py

eddwardo/pytest_strings

f73f1ce3ef823a05674d43160287f3afe7d6d3b7

[ "MIT" ]

null

pytest_strings/__init__.py

eddwardo/pytest_strings

f73f1ce3ef823a05674d43160287f3afe7d6d3b7

[ "MIT" ]

1

2017-04-30T20:12:36.000Z

pytest_strings/__init__.py

eddwardo/pytest_strings

f73f1ce3ef823a05674d43160287f3afe7d6d3b7

[ "MIT" ]

null

import pytest from pytest_strings import strings @pytest.fixture(params=strings.noughty_string()) def noughty_string(request): return request.param @pytest.fixture(params=strings.types['number']) def number_string(request): return request.param @pytest.fixture(params=strings.types['null']) def null_strings(request): return request.param @pytest.fixture(params=strings.types['escape']) def escape_string(request): return request.param @pytest.fixture(params=strings.types['truth']) def truth_string(request): return request.param @pytest.fixture(params=strings.types['false']) def false_string(request): return request.param @pytest.fixture(params=strings.types['truth'] + strings.types['false']) def bool_string(request): return request.param @pytest.fixture(params=strings.types['emoji']) def emoji_string(request): return request.param @pytest.fixture(params=strings.types['asian']) def asian_string(request): return request.param @pytest.fixture(params=strings.types['arabic']) def arabic_string(request): return request.param @pytest.fixture(params=strings.types['arabic'] + strings.types['asian']) def nonlatin_string(request): return request.param @pytest.fixture(params=strings.types['xss']) def xss_string(request): return request.param @pytest.fixture(params=strings.types['eval_injection']) def eval_injection_string(request): return request.param @pytest.fixture(params=strings.types['sql_injection']) def sql_injection_string(request): return request.param @pytest.fixture(params=strings.types['simple_ascii']) def simple_ascii_string(request): return request.param @pytest.fixture(params=strings.types['html']) def html_string(request): return request.param @pytest.fixture(params=strings.types['utf']) def utf_string(request): return request.param

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1c432aaff07554254b56f50f567f20d8c2595cdc

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py

Python

readability_transformers/features/lf/Syntactic/PhrF.py

OneTheta/readability-transformers

3c122c98a90c67add8eafad16563b269d5e3124a

[ "Apache-2.0" ]

1

2022-01-26T10:55:59.000Z

readability_transformers/features/lf/Syntactic/PhrF.py

OneTheta/readability-transformers

3c122c98a90c67add8eafad16563b269d5e3124a

[ "Apache-2.0" ]

null

readability_transformers/features/lf/Syntactic/PhrF.py

OneTheta/readability-transformers

3c122c98a90c67add8eafad16563b269d5e3124a

[ "Apache-2.0" ]

2

2021-10-14T22:53:57.000Z

2022-01-26T10:53:32.000Z

# -*- coding: UTF-8 -*- """ Software: LingFeat - Comprehensive Linguistic Features for Readability Assessment Page: PhrF.py (Phrasal Features) License: CC-BY-SA 4.0 Original Author: Bruce W. Lee (이웅성) @brucewlee Affiliation 1: LXPER AI, Seoul, South Korea Affiliation 2: University of Pennsylvania, PA, USA Contributing Author: - Affiliation : - References: >>> Phrasal features inspired by Publication 1: Feng, Lijun, Martin Jansche, Matt Huenerfauth, and Noémie Elhadad. "A Comparison of Features for Automatic Readability Assessment." In Coling 2010: Posters, pp. 276-284. 2010. Publication 2: Lu, Xiaofei. "Automatic analysis of syntactic complexity in second language writing." International journal of corpus linguistics 15, no. 4 (2010): 474-496. """ from ..utils import division def retrieve(SuPar, sent_token_list, n_token, n_sent): to_NoPhr_C = 0 to_VePhr_C = 0 to_SuPhr_C = 0 to_PrPhr_C = 0 to_AjPhr_C = 0 to_AvPhr_C = 0 for sent in sent_token_list: dataset = SuPar.predict([sent], prob=True, verbose=False) parsed_tree = str(dataset.sentences) to_NoPhr_C += parsed_tree.count("NP") to_VePhr_C += parsed_tree.count("VP") to_SuPhr_C += parsed_tree.count("SBAR") to_PrPhr_C += parsed_tree.count("PP") to_AjPhr_C += parsed_tree.count("ADJP") to_AvPhr_C += parsed_tree.count("ADVP") result = { "to_NoPhr_C": to_NoPhr_C, "as_NoPhr_C": float(division(to_NoPhr_C,n_sent)), "at_NoPhr_C": float(division(to_NoPhr_C,n_token)), "ra_NoVeP_C": float(division(to_NoPhr_C,to_VePhr_C)), "ra_NoSuP_C": float(division(to_NoPhr_C,to_SuPhr_C)), "ra_NoPrP_C": float(division(to_NoPhr_C,to_PrPhr_C)), "ra_NoAjP_C": float(division(to_NoPhr_C,to_AjPhr_C)), "ra_NoAvP_C": float(division(to_NoPhr_C,to_AvPhr_C)), "to_VePhr_C": to_VePhr_C, "as_VePhr_C": float(division(to_VePhr_C,n_sent)), "at_VePhr_C": float(division(to_VePhr_C,n_token)), "ra_VeNoP_C": float(division(to_VePhr_C,to_NoPhr_C)), "ra_VeSuP_C": float(division(to_VePhr_C,to_SuPhr_C)), "ra_VePrP_C": float(division(to_VePhr_C,to_PrPhr_C)), "ra_VeAjP_C": float(division(to_VePhr_C,to_AjPhr_C)), "ra_VeAvP_C": float(division(to_VePhr_C,to_AvPhr_C)), "to_SuPhr_C": to_SuPhr_C, "as_SuPhr_C": float(division(to_SuPhr_C,n_sent)), "at_SuPhr_C": float(division(to_SuPhr_C,n_token)), "ra_SuNoP_C": float(division(to_SuPhr_C,to_NoPhr_C)), "ra_SuVeP_C": float(division(to_SuPhr_C,to_VePhr_C)), "ra_SuPrP_C": float(division(to_SuPhr_C,to_PrPhr_C)), "ra_SuAjP_C": float(division(to_SuPhr_C,to_AjPhr_C)), "ra_SuAvP_C": float(division(to_SuPhr_C,to_AvPhr_C)), "to_PrPhr_C": to_PrPhr_C, "as_PrPhr_C": float(division(to_PrPhr_C,n_sent)), "at_PrPhr_C": float(division(to_PrPhr_C,n_token)), "ra_PrNoP_C": float(division(to_PrPhr_C,to_NoPhr_C)), "ra_PrVeP_C": float(division(to_PrPhr_C,to_VePhr_C)), "ra_PrSuP_C": float(division(to_PrPhr_C,to_SuPhr_C)), "ra_PrAjP_C": float(division(to_PrPhr_C,to_AjPhr_C)), "ra_PrAvP_C": float(division(to_PrPhr_C,to_AvPhr_C)), "to_AjPhr_C": to_AjPhr_C, "as_AjPhr_C": float(division(to_AjPhr_C,n_sent)), "at_AjPhr_C": float(division(to_AjPhr_C,n_token)), "ra_AjNoP_C": float(division(to_AjPhr_C,to_NoPhr_C)), "ra_AjVeP_C": float(division(to_AjPhr_C,to_VePhr_C)), "ra_AjSuP_C": float(division(to_AjPhr_C,to_SuPhr_C)), "ra_AjPrP_C": float(division(to_AjPhr_C,to_PrPhr_C)), "ra_AjAvP_C": float(division(to_AjPhr_C,to_AvPhr_C)), "to_AvPhr_C": to_AvPhr_C, "as_AvPhr_C": float(division(to_AvPhr_C,n_sent)), "at_AvPhr_C": float(division(to_AvPhr_C,n_token)), "ra_AvNoP_C": float(division(to_AvPhr_C,to_NoPhr_C)), "ra_AvVeP_C": float(division(to_AvPhr_C,to_VePhr_C)), "ra_AvSuP_C": float(division(to_AvPhr_C,to_SuPhr_C)), "ra_AvPrP_C": float(division(to_AvPhr_C,to_PrPhr_C)), "ra_AvAjP_C": float(division(to_AvPhr_C,to_AjPhr_C)), } return result def retrieve_supar_optimized(dataset_list, sent_token_list, n_token, n_sent): to_NoPhr_C = 0 to_VePhr_C = 0 to_SuPhr_C = 0 to_PrPhr_C = 0 to_AjPhr_C = 0 to_AvPhr_C = 0 for idx, sent in enumerate(sent_token_list): dataset = dataset_list[idx] parsed_tree = str(dataset.sentences) to_NoPhr_C += parsed_tree.count("NP") to_VePhr_C += parsed_tree.count("VP") to_SuPhr_C += parsed_tree.count("SBAR") to_PrPhr_C += parsed_tree.count("PP") to_AjPhr_C += parsed_tree.count("ADJP") to_AvPhr_C += parsed_tree.count("ADVP") result = { "to_NoPhr_C": to_NoPhr_C, "as_NoPhr_C": float(division(to_NoPhr_C,n_sent)), "at_NoPhr_C": float(division(to_NoPhr_C,n_token)), "ra_NoVeP_C": float(division(to_NoPhr_C,to_VePhr_C)), "ra_NoSuP_C": float(division(to_NoPhr_C,to_SuPhr_C)), "ra_NoPrP_C": float(division(to_NoPhr_C,to_PrPhr_C)), "ra_NoAjP_C": float(division(to_NoPhr_C,to_AjPhr_C)), "ra_NoAvP_C": float(division(to_NoPhr_C,to_AvPhr_C)), "to_VePhr_C": to_VePhr_C, "as_VePhr_C": float(division(to_VePhr_C,n_sent)), "at_VePhr_C": float(division(to_VePhr_C,n_token)), "ra_VeNoP_C": float(division(to_VePhr_C,to_NoPhr_C)), "ra_VeSuP_C": float(division(to_VePhr_C,to_SuPhr_C)), "ra_VePrP_C": float(division(to_VePhr_C,to_PrPhr_C)), "ra_VeAjP_C": float(division(to_VePhr_C,to_AjPhr_C)), "ra_VeAvP_C": float(division(to_VePhr_C,to_AvPhr_C)), "to_SuPhr_C": to_SuPhr_C, "as_SuPhr_C": float(division(to_SuPhr_C,n_sent)), "at_SuPhr_C": float(division(to_SuPhr_C,n_token)), "ra_SuNoP_C": float(division(to_SuPhr_C,to_NoPhr_C)), "ra_SuVeP_C": float(division(to_SuPhr_C,to_VePhr_C)), "ra_SuPrP_C": float(division(to_SuPhr_C,to_PrPhr_C)), "ra_SuAjP_C": float(division(to_SuPhr_C,to_AjPhr_C)), "ra_SuAvP_C": float(division(to_SuPhr_C,to_AvPhr_C)), "to_PrPhr_C": to_PrPhr_C, "as_PrPhr_C": float(division(to_PrPhr_C,n_sent)), "at_PrPhr_C": float(division(to_PrPhr_C,n_token)), "ra_PrNoP_C": float(division(to_PrPhr_C,to_NoPhr_C)), "ra_PrVeP_C": float(division(to_PrPhr_C,to_VePhr_C)), "ra_PrSuP_C": float(division(to_PrPhr_C,to_SuPhr_C)), "ra_PrAjP_C": float(division(to_PrPhr_C,to_AjPhr_C)), "ra_PrAvP_C": float(division(to_PrPhr_C,to_AvPhr_C)), "to_AjPhr_C": to_AjPhr_C, "as_AjPhr_C": float(division(to_AjPhr_C,n_sent)), "at_AjPhr_C": float(division(to_AjPhr_C,n_token)), "ra_AjNoP_C": float(division(to_AjPhr_C,to_NoPhr_C)), "ra_AjVeP_C": float(division(to_AjPhr_C,to_VePhr_C)), "ra_AjSuP_C": float(division(to_AjPhr_C,to_SuPhr_C)), "ra_AjPrP_C": float(division(to_AjPhr_C,to_PrPhr_C)), "ra_AjAvP_C": float(division(to_AjPhr_C,to_AvPhr_C)), "to_AvPhr_C": to_AvPhr_C, "as_AvPhr_C": float(division(to_AvPhr_C,n_sent)), "at_AvPhr_C": float(division(to_AvPhr_C,n_token)), "ra_AvNoP_C": float(division(to_AvPhr_C,to_NoPhr_C)), "ra_AvVeP_C": float(division(to_AvPhr_C,to_VePhr_C)), "ra_AvSuP_C": float(division(to_AvPhr_C,to_SuPhr_C)), "ra_AvPrP_C": float(division(to_AvPhr_C,to_PrPhr_C)), "ra_AvAjP_C": float(division(to_AvPhr_C,to_AjPhr_C)), } return result

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7,611

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9

98ce60036737aecc10ca2fffea28a7fbdb899987

192

py

Python

code/exp.py

campfireman/bachelor-thesis

1d78b0a90d352af916ee7eab1fc2539362586255

[ "MIT" ]

null

code/exp.py

campfireman/bachelor-thesis

1d78b0a90d352af916ee7eab1fc2539362586255

[ "MIT" ]

null

code/exp.py

campfireman/bachelor-thesis

1d78b0a90d352af916ee7eab1fc2539362586255

[ "MIT" ]

null

# from src.experiments.read_old_checkpoints import main # from src.experiments.generate_experience import main from src.experiments.warm_up import main if __name__ == '__main__': main()

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98e23b0dbfe92b4cd12b144833f3f7ff954088f1

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py

Python

tests/file_io/sqlite_blob_file_io.py

Acidburn0zzz/dfvfs

3db8c4e520e3e7527faffeea8f52187c861fa3b6

[ "Apache-2.0" ]

1

2019-08-28T23:47:16.000Z

tests/file_io/sqlite_blob_file_io.py

Acidburn0zzz/dfvfs

3db8c4e520e3e7527faffeea8f52187c861fa3b6

[ "Apache-2.0" ]

null

tests/file_io/sqlite_blob_file_io.py

Acidburn0zzz/dfvfs

3db8c4e520e3e7527faffeea8f52187c861fa3b6

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """Tests for the SQLite blob file-like object.""" from __future__ import unicode_literals import unittest from dfvfs.file_io import sqlite_blob_file_io from dfvfs.path import sqlite_blob_path_spec from dfvfs.path import os_path_spec from dfvfs.resolver import context from tests.file_io import test_lib class SQLiteBlobFileWithConditionTest(test_lib.SylogTestCase): """The unit test for a SQLite blob file-like object using row condition.""" def setUp(self): """Sets up the needed objects used throughout the test.""" self._resolver_context = context.Context() test_file = self._GetTestFilePath(['syslog.db']) self._SkipIfPathNotExists(test_file) path_spec = os_path_spec.OSPathSpec(location=test_file) self._sqlite_blob_path_spec = sqlite_blob_path_spec.SQLiteBlobPathSpec( table_name='blobs', column_name='blob', row_condition=('identifier', '==', 'myblob'), parent=path_spec) def testOpenClosePathSpec(self): """Test the open and close functionality using a path specification.""" file_object = sqlite_blob_file_io.SQLiteBlobFile(self._resolver_context) file_object.open(path_spec=self._sqlite_blob_path_spec) self._TestGetSizeFileObject(file_object) file_object.close() def testSeek(self): """Test the seek functionality.""" file_object = sqlite_blob_file_io.SQLiteBlobFile(self._resolver_context) file_object.open(path_spec=self._sqlite_blob_path_spec) self._TestSeekFileObject(file_object) file_object.close() def testRead(self): """Test the read functionality.""" file_object = sqlite_blob_file_io.SQLiteBlobFile(self._resolver_context) file_object.open(path_spec=self._sqlite_blob_path_spec) self._TestReadFileObject(file_object) file_object.close() class SQLiteBlobFileWithIndexTest(test_lib.SylogTestCase): """The unit test for a SQLite blob file-like object using row index.""" def setUp(self): """Sets up the needed objects used throughout the test.""" self._resolver_context = context.Context() test_file = self._GetTestFilePath(['syslog.db']) self._SkipIfPathNotExists(test_file) path_spec = os_path_spec.OSPathSpec(location=test_file) self._sqlite_blob_path_spec = sqlite_blob_path_spec.SQLiteBlobPathSpec( table_name='blobs', column_name='blob', row_index=0, parent=path_spec) def testOpenClosePathSpec(self): """Test the open and close functionality using a path specification.""" file_object = sqlite_blob_file_io.SQLiteBlobFile(self._resolver_context) file_object.open(path_spec=self._sqlite_blob_path_spec) self._TestGetSizeFileObject(file_object) file_object.close() def testSeek(self): """Test the seek functionality.""" file_object = sqlite_blob_file_io.SQLiteBlobFile(self._resolver_context) file_object.open(path_spec=self._sqlite_blob_path_spec) self._TestSeekFileObject(file_object) file_object.close() def testRead(self): """Test the read functionality.""" file_object = sqlite_blob_file_io.SQLiteBlobFile(self._resolver_context) file_object.open(path_spec=self._sqlite_blob_path_spec) self._TestReadFileObject(file_object) file_object.close() if __name__ == '__main__': unittest.main()

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