Instruction:
Can you implement a function in Python 3 that
sends the headers of the request.

Response:
def putheader(self, name, value):
        ''' Sends the headers of request. '''
        if sys.version_info < (3,):
            name = str(name).decode('utf-8')
            value = str(value).decode('utf-8')
        self._httprequest.set_request_header(name, value)


Instruction:
Explain what the following Python 3 code does
def send(self, request_body):
        ''' Sends request body. '''
        if not request_body:
            self._httprequest.send()
        else:
            self._httprequest.send(request_body)

Response: Sends the request body.


Instruction:
Make a summary of the following Python 3 code
def getresponse(self):
        ''' Gets the response and generates the _Response object'''
        status = self._httprequest.status()
        status_text = self._httprequest.status_text()

        resp_headers = self._httprequest.get_all_response_headers()
        fixed_headers = []
        for resp_header in resp_headers.split('\n'):
            if (resp_header.startswith('\t') or\
                resp_header.startswith(' ')) and fixed_headers:
                # append to previous header
                fixed_headers[-1] += resp_header
            else:
                fixed_headers.append(resp_header)

        headers = []
        for resp_header in fixed_headers:
            if ':' in resp_header:
                pos = resp_header.find(':')
                headers.append(
                    (resp_header[:pos].lower(), resp_header[pos + 1:].strip()))

        body = self._httprequest.response_body()
        length = len(body)

        return _Response(status, status_text, length, headers, body)

Response: Gets the response and generates the _Response object


Instruction:
Given the following Python 3 function, write the documentation
def _get_readable_id(id_name, id_prefix_to_skip):
    # id_name is in the form 'https://namespace.host.suffix/name'
    # where name may contain a forward slash!
    pos = id_name.find('//')
    if pos != -1:
        pos += 2
        if id_prefix_to_skip:
            pos = id_name.find(id_prefix_to_skip, pos)
            if pos != -1:
                pos += len(id_prefix_to_skip)
        pos = id_name.find('/', pos)
        if pos != -1:
            return id_name[pos + 1:]
    return id_name

Response: simplified an id to be more friendly for us people


Instruction:
How would you explain what the following Python 3 function does
def _create_entry(entry_body):
    ''' Adds common part of entry to a given entry body and return the whole
    xml. '''
    updated_str = datetime.utcnow().isoformat()
    if datetime.utcnow().utcoffset() is None:
        updated_str += '+00:00'

    entry_start = '''<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<entry xmlns:d="http://schemas.microsoft.com/ado/2007/08/dataservices" xmlns:m="http://schemas.microsoft.com/ado/2007/08/dataservices/metadata" xmlns="http://www.w3.org/2005/Atom" >
<title /><updated>{updated}</updated><author><name /></author><id />
<content type="application/xml">
    {body}</content></entry>'''
    return entry_start.format(updated=updated_str, body=entry_body)

Response: Creates a new entry from a given entry body.


Instruction:
How would you explain what the following Python 3 function does
def _get_serialization_name(element_name):
    known = _KNOWN_SERIALIZATION_XFORMS.get(element_name)
    if known is not None:
        return known

    if element_name.startswith('x_ms_'):
        return element_name.replace('_', '-')
    if element_name.endswith('_id'):
        element_name = element_name.replace('_id', 'ID')
    for name in ['content_', 'last_modified', 'if_', 'cache_control']:
        if element_name.startswith(name):
            element_name = element_name.replace('_', '-_')

    return ''.join(name.capitalize() for name in element_name.split('_'))

Response: converts a Python name into a serializable name


Instruction:
Write a Python 3 function for
serializing bytes into base - 64 string.

Response:
def _bstr_to_b64url(bstr, **kwargs):
    """Serialize bytes into base-64 string.
    :param str: Object to be serialized.
    :rtype: str
    """
    encoded = b64encode(bstr).decode()
    return encoded.strip('=').replace('+', '-').replace('/', '_')


Instruction:
Explain what the following Python 3 code does
def _b64_to_bstr(b64str):
    padding = '=' * (3 - (len(b64str) + 3) % 4)
    b64str = b64str + padding
    encoded = b64str.replace('-', '+').replace('_', '/')
    return b64decode(encoded)

Response: Deserialize base64 encoded string into string.


Instruction:
Can you generate a brief explanation for the following Python 3 code
def find_similar(
            self, face_id, face_list_id=None, large_face_list_id=None, face_ids=None, max_num_of_candidates_returned=20, mode="matchPerson", custom_headers=None, raw=False, **operation_config):
        """Given query face's faceId, to search the similar-looking faces from a
        faceId array, a face list or a large face list. faceId array contains
        the faces created by [Face -
        Detect](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395236),
        which will expire 24 hours after creation. A "faceListId" is created by
        [FaceList -
        Create](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f3039524b)
        containing persistedFaceIds that will not expire. And a
        "largeFaceListId" is created by [LargeFaceList -
        Create](/docs/services/563879b61984550e40cbbe8d/operations/5a157b68d2de3616c086f2cc)
        containing persistedFaceIds that will also not expire. Depending on the
        input the returned similar faces list contains faceIds or
        persistedFaceIds ranked by similarity.

Find similar has two working modes, "matchPerson" and "matchFace".
        "matchPerson" is the default mode that it tries to find faces of the
        same person as possible by using internal same-person thresholds. It is
        useful to find a known person's other photos. Note that an empty list
        will be returned if no faces pass the internal thresholds. "matchFace"
        mode ignores same-person thresholds and returns ranked similar faces
        anyway, even the similarity is low. It can be used in the cases like
        searching celebrity-looking faces.

The 'recognitionModel' associated with the query face's faceId
        should be the same as the 'recognitionModel' used by the target faceId
        array, face list or large face list.
        .

        :param face_id: FaceId of the query face. User needs to call Face -
         Detect first to get a valid faceId. Note that this faceId is not
         persisted and will expire 24 hours after the detection call
        :type face_id: str
        :param face_list_id: An existing user-specified unique candidate face
         list, created in Face List - Create a Face List. Face list contains a
         set of persistedFaceIds which are persisted and will never expire.
         Parameter faceListId, largeFaceListId and faceIds should not be
         provided at the same time.
        :type face_list_id: str
        :param large_face_list_id: An existing user-specified unique candidate
         large face list, created in LargeFaceList - Create. Large face list
         contains a set of persistedFaceIds which are persisted and will never
         expire. Parameter faceListId, largeFaceListId and faceIds should not
         be provided at the same time.
        :type large_face_list_id: str
        :param face_ids: An array of candidate faceIds. All of them are
         created by Face - Detect and the faceIds will expire 24 hours after
         the detection call. The number of faceIds is limited to 1000.
         Parameter faceListId, largeFaceListId and faceIds should not be
         provided at the same time.
        :type face_ids: list[str]
        :param max_num_of_candidates_returned: The number of top similar faces
         returned. The valid range is [1, 1000].
        :type max_num_of_candidates_returned: int
        :param mode: Similar face searching mode. It can be "matchPerson" or
         "matchFace". Possible values include: 'matchPerson', 'matchFace'
        :type mode: str or
         ~azure.cognitiveservices.vision.face.models.FindSimilarMatchMode
        :param dict custom_headers: headers that will be added to the request
        :param bool raw: returns the direct response alongside the
         deserialized response
        :param operation_config: :ref:`Operation configuration
         overrides<msrest:optionsforoperations>`.
        :return: list or ClientRawResponse if raw=true
        :rtype: list[~azure.cognitiveservices.vision.face.models.SimilarFace]
         or ~msrest.pipeline.ClientRawResponse
        :raises:
         :class:`APIErrorException<azure.cognitiveservices.vision.face.models.APIErrorException>`
        """
        body = models.FindSimilarRequest(face_id=face_id, face_list_id=face_list_id, large_face_list_id=large_face_list_id, face_ids=face_ids, max_num_of_candidates_returned=max_num_of_candidates_returned, mode=mode)

        # Construct URL
        url = self.find_similar.metadata['url']
        path_format_arguments = {
            'Endpoint': self._serialize.url("self.config.endpoint", self.config.endpoint, 'str', skip_quote=True)
        }
        url = self._client.format_url(url, **path_format_arguments)

        # Construct parameters
        query_parameters = {}

        # Construct headers
        header_parameters = {}
        header_parameters['Accept'] = 'application/json'
        header_parameters['Content-Type'] = 'application/json; charset=utf-8'
        if custom_headers:
            header_parameters.update(custom_headers)

        # Construct body
        body_content = self._serialize.body(body, 'FindSimilarRequest')

        # Construct and send request
        request = self._client.post(url, query_parameters, header_parameters, body_content)
        response = self._client.send(request, stream=False, **operation_config)

        if response.status_code not in [200]:
            raise models.APIErrorException(self._deserialize, response)

        deserialized = None

        if response.status_code == 200:
            deserialized = self._deserialize('[SimilarFace]', response)

        if raw:
            client_raw_response = ClientRawResponse(deserialized, response)
            return client_raw_response

        return deserialized

Response: Given a query face s faceId and a list of faceIds and large faceListId and a list of faceIds and a list of faceIds and large faceIds find the similar faces of the query face.


Instruction:
Create a Python 3 function for
detecting human faces in an image and return them in a cache file.

Response:
def detect_with_url(
            self, url, return_face_id=True, return_face_landmarks=False, return_face_attributes=None, recognition_model="recognition_01", return_recognition_model=False, custom_headers=None, raw=False, **operation_config):
        """Detect human faces in an image, return face rectangles, and optionally
        with faceIds, landmarks, and attributes.<br />
        * Optional parameters including faceId, landmarks, and attributes.
        Attributes include age, gender, headPose, smile, facialHair, glasses,
        emotion, hair, makeup, occlusion, accessories, blur, exposure and
        noise.
        * The extracted face feature, instead of the actual image, will be
        stored on server. The faceId is an identifier of the face feature and
        will be used in [Face -
        Identify](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395239),
        [Face -
        Verify](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f3039523a),
        and [Face - Find
        Similar](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395237).
        It will expire 24 hours after the detection call.
        * Higher face image quality means better detection and recognition
        precision. Please consider high-quality faces: frontal, clear, and face
        size is 200x200 pixels (100 pixels between eyes) or bigger.
        * JPEG, PNG, GIF (the first frame), and BMP format are supported. The
        allowed image file size is from 1KB to 6MB.
        * Faces are detectable when its size is 36x36 to 4096x4096 pixels. If
        need to detect very small but clear faces, please try to enlarge the
        input image.
        * Up to 64 faces can be returned for an image. Faces are ranked by face
        rectangle size from large to small.
        * Face detector prefer frontal and near-frontal faces. There are cases
        that faces may not be detected, e.g. exceptionally large face angles
        (head-pose) or being occluded, or wrong image orientation.
        * Attributes (age, gender, headPose, smile, facialHair, glasses,
        emotion, hair, makeup, occlusion, accessories, blur, exposure and
        noise) may not be perfectly accurate. HeadPose's pitch value is a
        reserved field and will always return 0.
        * Different 'recognitionModel' values are provided. If follow-up
        operations like Verify, Identify, Find Similar are needed, please
        specify the recognition model with 'recognitionModel' parameter. The
        default value for 'recognitionModel' is 'recognition_01', if latest
        model needed, please explicitly specify the model you need in this
        parameter. Once specified, the detected faceIds will be associated with
        the specified recognition model. More details, please refer to [How to
        specify a recognition
        model](https://docs.microsoft.com/en-us/azure/cognitive-services/face/face-api-how-to-topics/specify-recognition-model)
        .

        :param url: Publicly reachable URL of an image
        :type url: str
        :param return_face_id: A value indicating whether the operation should
         return faceIds of detected faces.
        :type return_face_id: bool
        :param return_face_landmarks: A value indicating whether the operation
         should return landmarks of the detected faces.
        :type return_face_landmarks: bool
        :param return_face_attributes: Analyze and return the one or more
         specified face attributes in the comma-separated string like
         "returnFaceAttributes=age,gender". Supported face attributes include
         age, gender, headPose, smile, facialHair, glasses and emotion. Note
         that each face attribute analysis has additional computational and
         time cost.
        :type return_face_attributes: list[str or
         ~azure.cognitiveservices.vision.face.models.FaceAttributeType]
        :param recognition_model: Name of recognition model. Recognition model
         is used when the face features are extracted and associated with
         detected faceIds, (Large)FaceList or (Large)PersonGroup. A recognition
         model name can be provided when performing Face - Detect or
         (Large)FaceList - Create or (Large)PersonGroup - Create. The default
         value is 'recognition_01', if latest model needed, please explicitly
         specify the model you need. Possible values include: 'recognition_01',
         'recognition_02'
        :type recognition_model: str or
         ~azure.cognitiveservices.vision.face.models.RecognitionModel
        :param return_recognition_model: A value indicating whether the
         operation should return 'recognitionModel' in response.
        :type return_recognition_model: bool
        :param dict custom_headers: headers that will be added to the request
        :param bool raw: returns the direct response alongside the
         deserialized response
        :param operation_config: :ref:`Operation configuration
         overrides<msrest:optionsforoperations>`.
        :return: list or ClientRawResponse if raw=true
        :rtype: list[~azure.cognitiveservices.vision.face.models.DetectedFace]
         or ~msrest.pipeline.ClientRawResponse
        :raises:
         :class:`APIErrorException<azure.cognitiveservices.vision.face.models.APIErrorException>`
        """
        image_url = models.ImageUrl(url=url)

        # Construct URL
        url = self.detect_with_url.metadata['url']
        path_format_arguments = {
            'Endpoint': self._serialize.url("self.config.endpoint", self.config.endpoint, 'str', skip_quote=True)
        }
        url = self._client.format_url(url, **path_format_arguments)

        # Construct parameters
        query_parameters = {}
        if return_face_id is not None:
            query_parameters['returnFaceId'] = self._serialize.query("return_face_id", return_face_id, 'bool')
        if return_face_landmarks is not None:
            query_parameters['returnFaceLandmarks'] = self._serialize.query("return_face_landmarks", return_face_landmarks, 'bool')
        if return_face_attributes is not None:
            query_parameters['returnFaceAttributes'] = self._serialize.query("return_face_attributes", return_face_attributes, '[FaceAttributeType]', div=',')
        if recognition_model is not None:
            query_parameters['recognitionModel'] = self._serialize.query("recognition_model", recognition_model, 'str')
        if return_recognition_model is not None:
            query_parameters['returnRecognitionModel'] = self._serialize.query("return_recognition_model", return_recognition_model, 'bool')

        # Construct headers
        header_parameters = {}
        header_parameters['Accept'] = 'application/json'
        header_parameters['Content-Type'] = 'application/json; charset=utf-8'
        if custom_headers:
            header_parameters.update(custom_headers)

        # Construct body
        body_content = self._serialize.body(image_url, 'ImageUrl')

        # Construct and send request
        request = self._client.post(url, query_parameters, header_parameters, body_content)
        response = self._client.send(request, stream=False, **operation_config)

        if response.status_code not in [200]:
            raise models.APIErrorException(self._deserialize, response)

        deserialized = None

        if response.status_code == 200:
            deserialized = self._deserialize('[DetectedFace]', response)

        if raw:
            client_raw_response = ClientRawResponse(deserialized, response)
            return client_raw_response

        return deserialized


Instruction:
Make a summary of the following Python 3 code
def verify_face_to_person(
            self, face_id, person_id, person_group_id=None, large_person_group_id=None, custom_headers=None, raw=False, **operation_config):
        """Verify whether two faces belong to a same person. Compares a face Id
        with a Person Id.

        :param face_id: FaceId of the face, comes from Face - Detect
        :type face_id: str
        :param person_id: Specify a certain person in a person group or a
         large person group. personId is created in PersonGroup Person - Create
         or LargePersonGroup Person - Create.
        :type person_id: str
        :param person_group_id: Using existing personGroupId and personId for
         fast loading a specified person. personGroupId is created in
         PersonGroup - Create. Parameter personGroupId and largePersonGroupId
         should not be provided at the same time.
        :type person_group_id: str
        :param large_person_group_id: Using existing largePersonGroupId and
         personId for fast loading a specified person. largePersonGroupId is
         created in LargePersonGroup - Create. Parameter personGroupId and
         largePersonGroupId should not be provided at the same time.
        :type large_person_group_id: str
        :param dict custom_headers: headers that will be added to the request
        :param bool raw: returns the direct response alongside the
         deserialized response
        :param operation_config: :ref:`Operation configuration
         overrides<msrest:optionsforoperations>`.
        :return: VerifyResult or ClientRawResponse if raw=true
        :rtype: ~azure.cognitiveservices.vision.face.models.VerifyResult or
         ~msrest.pipeline.ClientRawResponse
        :raises:
         :class:`APIErrorException<azure.cognitiveservices.vision.face.models.APIErrorException>`
        """
        body = models.VerifyFaceToPersonRequest(face_id=face_id, person_group_id=person_group_id, large_person_group_id=large_person_group_id, person_id=person_id)

        # Construct URL
        url = self.verify_face_to_person.metadata['url']
        path_format_arguments = {
            'Endpoint': self._serialize.url("self.config.endpoint", self.config.endpoint, 'str', skip_quote=True)
        }
        url = self._client.format_url(url, **path_format_arguments)

        # Construct parameters
        query_parameters = {}

        # Construct headers
        header_parameters = {}
        header_parameters['Accept'] = 'application/json'
        header_parameters['Content-Type'] = 'application/json; charset=utf-8'
        if custom_headers:
            header_parameters.update(custom_headers)

        # Construct body
        body_content = self._serialize.body(body, 'VerifyFaceToPersonRequest')

        # Construct and send request
        request = self._client.post(url, query_parameters, header_parameters, body_content)
        response = self._client.send(request, stream=False, **operation_config)

        if response.status_code not in [200]:
            raise models.APIErrorException(self._deserialize, response)

        deserialized = None

        if response.status_code == 200:
            deserialized = self._deserialize('VerifyResult', response)

        if raw:
            client_raw_response = ClientRawResponse(deserialized, response)
            return client_raw_response

        return deserialized

Response: Verify whether two faces belong to a person.


Instruction:
Implement a function in Python 3 to
get the challenge for the given URL.

Response:
def get_challenge_for_url(url):
    """ Gets the challenge for the cached URL.
    :param url: the URL the challenge is cached for.
    :rtype: HttpBearerChallenge """
    if not url:
        raise ValueError('URL cannot be None')

    url = parse.urlparse(url)

    _lock.acquire()

    val = _cache.get(url.netloc)

    _lock.release()

    return val


Instruction:
Can you write a function in Python 3 where it
removes the cached challenge for the specified URL.

Response:
def remove_challenge_for_url(url):
    """ Removes the cached challenge for the specified URL.
    :param url: the URL for which to remove the cached challenge """
    if not url:
        raise ValueError('URL cannot be empty')

    url = parse.urlparse(url)

    _lock.acquire()

    del _cache[url.netloc]

    _lock.release()


Instruction:
How would you explain what the following Python 3 function does
def set_challenge_for_url(url, challenge):
    if not url:
        raise ValueError('URL cannot be empty')

    if not challenge:
        raise ValueError('Challenge cannot be empty')

    src_url = parse.urlparse(url)
    if src_url.netloc != challenge.source_authority:
        raise ValueError('Source URL and Challenge URL do not match')

    _lock.acquire()

    _cache[src_url.netloc] = challenge

    _lock.release()

Response: Sets the challenge for the specified URL.


Instruction:
Can you generate a brief explanation for the following Python 3 code
def get(
            self, job_id, job_get_options=None, custom_headers=None, raw=False, **operation_config):
        """Gets information about the specified job.

        :param job_id: The ID of the job.
        :type job_id: str
        :param job_get_options: Additional parameters for the operation
        :type job_get_options: ~azure.batch.models.JobGetOptions
        :param dict custom_headers: headers that will be added to the request
        :param bool raw: returns the direct response alongside the
         deserialized response
        :param operation_config: :ref:`Operation configuration
         overrides<msrest:optionsforoperations>`.
        :return: CloudJob or ClientRawResponse if raw=true
        :rtype: ~azure.batch.models.CloudJob or
         ~msrest.pipeline.ClientRawResponse
        :raises:
         :class:`BatchErrorException<azure.batch.models.BatchErrorException>`
        """
        select = None
        if job_get_options is not None:
            select = job_get_options.select
        expand = None
        if job_get_options is not None:
            expand = job_get_options.expand
        timeout = None
        if job_get_options is not None:
            timeout = job_get_options.timeout
        client_request_id = None
        if job_get_options is not None:
            client_request_id = job_get_options.client_request_id
        return_client_request_id = None
        if job_get_options is not None:
            return_client_request_id = job_get_options.return_client_request_id
        ocp_date = None
        if job_get_options is not None:
            ocp_date = job_get_options.ocp_date
        if_match = None
        if job_get_options is not None:
            if_match = job_get_options.if_match
        if_none_match = None
        if job_get_options is not None:
            if_none_match = job_get_options.if_none_match
        if_modified_since = None
        if job_get_options is not None:
            if_modified_since = job_get_options.if_modified_since
        if_unmodified_since = None
        if job_get_options is not None:
            if_unmodified_since = job_get_options.if_unmodified_since

        # Construct URL
        url = self.get.metadata['url']
        path_format_arguments = {
            'batchUrl': self._serialize.url("self.config.batch_url", self.config.batch_url, 'str', skip_quote=True),
            'jobId': self._serialize.url("job_id", job_id, 'str')
        }
        url = self._client.format_url(url, **path_format_arguments)

        # Construct parameters
        query_parameters = {}
        query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
        if select is not None:
            query_parameters['$select'] = self._serialize.query("select", select, 'str')
        if expand is not None:
            query_parameters['$expand'] = self._serialize.query("expand", expand, 'str')
        if timeout is not None:
            query_parameters['timeout'] = self._serialize.query("timeout", timeout, 'int')

        # Construct headers
        header_parameters = {}
        header_parameters['Accept'] = 'application/json'
        if self.config.generate_client_request_id:
            header_parameters['client-request-id'] = str(uuid.uuid1())
        if custom_headers:
            header_parameters.update(custom_headers)
        if self.config.accept_language is not None:
            header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
        if client_request_id is not None:
            header_parameters['client-request-id'] = self._serialize.header("client_request_id", client_request_id, 'str')
        if return_client_request_id is not None:
            header_parameters['return-client-request-id'] = self._serialize.header("return_client_request_id", return_client_request_id, 'bool')
        if ocp_date is not None:
            header_parameters['ocp-date'] = self._serialize.header("ocp_date", ocp_date, 'rfc-1123')
        if if_match is not None:
            header_parameters['If-Match'] = self._serialize.header("if_match", if_match, 'str')
        if if_none_match is not None:
            header_parameters['If-None-Match'] = self._serialize.header("if_none_match", if_none_match, 'str')
        if if_modified_since is not None:
            header_parameters['If-Modified-Since'] = self._serialize.header("if_modified_since", if_modified_since, 'rfc-1123')
        if if_unmodified_since is not None:
            header_parameters['If-Unmodified-Since'] = self._serialize.header("if_unmodified_since", if_unmodified_since, 'rfc-1123')

        # Construct and send request
        request = self._client.get(url, query_parameters, header_parameters)
        response = self._client.send(request, stream=False, **operation_config)

        if response.status_code not in [200]:
            raise models.BatchErrorException(self._deserialize, response)

        deserialized = None
        header_dict = {}

        if response.status_code == 200:
            deserialized = self._deserialize('CloudJob', response)
            header_dict = {
                'client-request-id': 'str',
                'request-id': 'str',
                'ETag': 'str',
                'Last-Modified': 'rfc-1123',
            }

        if raw:
            client_raw_response = ClientRawResponse(deserialized, response)
            client_raw_response.add_headers(header_dict)
            return client_raw_response

        return deserialized

Response: Gets the information about the specified job.


Instruction:
Can you generate a brief explanation for the following Python 3 code
def patch(
            self, job_id, job_patch_parameter, job_patch_options=None, custom_headers=None, raw=False, **operation_config):
        """Updates the properties of the specified job.

        This replaces only the job properties specified in the request. For
        example, if the job has constraints, and a request does not specify the
        constraints element, then the job keeps the existing constraints.

        :param job_id: The ID of the job whose properties you want to update.
        :type job_id: str
        :param job_patch_parameter: The parameters for the request.
        :type job_patch_parameter: ~azure.batch.models.JobPatchParameter
        :param job_patch_options: Additional parameters for the operation
        :type job_patch_options: ~azure.batch.models.JobPatchOptions
        :param dict custom_headers: headers that will be added to the request
        :param bool raw: returns the direct response alongside the
         deserialized response
        :param operation_config: :ref:`Operation configuration
         overrides<msrest:optionsforoperations>`.
        :return: None or ClientRawResponse if raw=true
        :rtype: None or ~msrest.pipeline.ClientRawResponse
        :raises:
         :class:`BatchErrorException<azure.batch.models.BatchErrorException>`
        """
        timeout = None
        if job_patch_options is not None:
            timeout = job_patch_options.timeout
        client_request_id = None
        if job_patch_options is not None:
            client_request_id = job_patch_options.client_request_id
        return_client_request_id = None
        if job_patch_options is not None:
            return_client_request_id = job_patch_options.return_client_request_id
        ocp_date = None
        if job_patch_options is not None:
            ocp_date = job_patch_options.ocp_date
        if_match = None
        if job_patch_options is not None:
            if_match = job_patch_options.if_match
        if_none_match = None
        if job_patch_options is not None:
            if_none_match = job_patch_options.if_none_match
        if_modified_since = None
        if job_patch_options is not None:
            if_modified_since = job_patch_options.if_modified_since
        if_unmodified_since = None
        if job_patch_options is not None:
            if_unmodified_since = job_patch_options.if_unmodified_since

        # Construct URL
        url = self.patch.metadata['url']
        path_format_arguments = {
            'batchUrl': self._serialize.url("self.config.batch_url", self.config.batch_url, 'str', skip_quote=True),
            'jobId': self._serialize.url("job_id", job_id, 'str')
        }
        url = self._client.format_url(url, **path_format_arguments)

        # Construct parameters
        query_parameters = {}
        query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
        if timeout is not None:
            query_parameters['timeout'] = self._serialize.query("timeout", timeout, 'int')

        # Construct headers
        header_parameters = {}
        header_parameters['Content-Type'] = 'application/json; odata=minimalmetadata; charset=utf-8'
        if self.config.generate_client_request_id:
            header_parameters['client-request-id'] = str(uuid.uuid1())
        if custom_headers:
            header_parameters.update(custom_headers)
        if self.config.accept_language is not None:
            header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
        if client_request_id is not None:
            header_parameters['client-request-id'] = self._serialize.header("client_request_id", client_request_id, 'str')
        if return_client_request_id is not None:
            header_parameters['return-client-request-id'] = self._serialize.header("return_client_request_id", return_client_request_id, 'bool')
        if ocp_date is not None:
            header_parameters['ocp-date'] = self._serialize.header("ocp_date", ocp_date, 'rfc-1123')
        if if_match is not None:
            header_parameters['If-Match'] = self._serialize.header("if_match", if_match, 'str')
        if if_none_match is not None:
            header_parameters['If-None-Match'] = self._serialize.header("if_none_match", if_none_match, 'str')
        if if_modified_since is not None:
            header_parameters['If-Modified-Since'] = self._serialize.header("if_modified_since", if_modified_since, 'rfc-1123')
        if if_unmodified_since is not None:
            header_parameters['If-Unmodified-Since'] = self._serialize.header("if_unmodified_since", if_unmodified_since, 'rfc-1123')

        # Construct body
        body_content = self._serialize.body(job_patch_parameter, 'JobPatchParameter')

        # Construct and send request
        request = self._client.patch(url, query_parameters, header_parameters, body_content)
        response = self._client.send(request, stream=False, **operation_config)

        if response.status_code not in [200]:
            raise models.BatchErrorException(self._deserialize, response)

        if raw:
            client_raw_response = ClientRawResponse(None, response)
            client_raw_response.add_headers({
                'client-request-id': 'str',
                'request-id': 'str',
                'ETag': 'str',
                'Last-Modified': 'rfc-1123',
                'DataServiceId': 'str',
            })
            return client_raw_response

Response: Updates the properties of the specified job.


Instruction:
Given the following Python 3 function, write the documentation
def add(
            self, job, job_add_options=None, custom_headers=None, raw=False, **operation_config):
        """Adds a job to the specified account.

        The Batch service supports two ways to control the work done as part of
        a job. In the first approach, the user specifies a Job Manager task.
        The Batch service launches this task when it is ready to start the job.
        The Job Manager task controls all other tasks that run under this job,
        by using the Task APIs. In the second approach, the user directly
        controls the execution of tasks under an active job, by using the Task
        APIs. Also note: when naming jobs, avoid including sensitive
        information such as user names or secret project names. This
        information may appear in telemetry logs accessible to Microsoft
        Support engineers.

        :param job: The job to be added.
        :type job: ~azure.batch.models.JobAddParameter
        :param job_add_options: Additional parameters for the operation
        :type job_add_options: ~azure.batch.models.JobAddOptions
        :param dict custom_headers: headers that will be added to the request
        :param bool raw: returns the direct response alongside the
         deserialized response
        :param operation_config: :ref:`Operation configuration
         overrides<msrest:optionsforoperations>`.
        :return: None or ClientRawResponse if raw=true
        :rtype: None or ~msrest.pipeline.ClientRawResponse
        :raises:
         :class:`BatchErrorException<azure.batch.models.BatchErrorException>`
        """
        timeout = None
        if job_add_options is not None:
            timeout = job_add_options.timeout
        client_request_id = None
        if job_add_options is not None:
            client_request_id = job_add_options.client_request_id
        return_client_request_id = None
        if job_add_options is not None:
            return_client_request_id = job_add_options.return_client_request_id
        ocp_date = None
        if job_add_options is not None:
            ocp_date = job_add_options.ocp_date

        # Construct URL
        url = self.add.metadata['url']
        path_format_arguments = {
            'batchUrl': self._serialize.url("self.config.batch_url", self.config.batch_url, 'str', skip_quote=True)
        }
        url = self._client.format_url(url, **path_format_arguments)

        # Construct parameters
        query_parameters = {}
        query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
        if timeout is not None:
            query_parameters['timeout'] = self._serialize.query("timeout", timeout, 'int')

        # Construct headers
        header_parameters = {}
        header_parameters['Content-Type'] = 'application/json; odata=minimalmetadata; charset=utf-8'
        if self.config.generate_client_request_id:
            header_parameters['client-request-id'] = str(uuid.uuid1())
        if custom_headers:
            header_parameters.update(custom_headers)
        if self.config.accept_language is not None:
            header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
        if client_request_id is not None:
            header_parameters['client-request-id'] = self._serialize.header("client_request_id", client_request_id, 'str')
        if return_client_request_id is not None:
            header_parameters['return-client-request-id'] = self._serialize.header("return_client_request_id", return_client_request_id, 'bool')
        if ocp_date is not None:
            header_parameters['ocp-date'] = self._serialize.header("ocp_date", ocp_date, 'rfc-1123')

        # Construct body
        body_content = self._serialize.body(job, 'JobAddParameter')

        # Construct and send request
        request = self._client.post(url, query_parameters, header_parameters, body_content)
        response = self._client.send(request, stream=False, **operation_config)

        if response.status_code not in [201]:
            raise models.BatchErrorException(self._deserialize, response)

        if raw:
            client_raw_response = ClientRawResponse(None, response)
            client_raw_response.add_headers({
                'client-request-id': 'str',
                'request-id': 'str',
                'ETag': 'str',
                'Last-Modified': 'rfc-1123',
                'DataServiceId': 'str',
            })
            return client_raw_response

Response: Adds a job to the specified account.


Instruction:
Write a Python 3 function that can
list all of the jobs in the specified account.

Response:
def list(
            self, job_list_options=None, custom_headers=None, raw=False, **operation_config):
        """Lists all of the jobs in the specified account.

        :param job_list_options: Additional parameters for the operation
        :type job_list_options: ~azure.batch.models.JobListOptions
        :param dict custom_headers: headers that will be added to the request
        :param bool raw: returns the direct response alongside the
         deserialized response
        :param operation_config: :ref:`Operation configuration
         overrides<msrest:optionsforoperations>`.
        :return: An iterator like instance of CloudJob
        :rtype:
         ~azure.batch.models.CloudJobPaged[~azure.batch.models.CloudJob]
        :raises:
         :class:`BatchErrorException<azure.batch.models.BatchErrorException>`
        """
        filter = None
        if job_list_options is not None:
            filter = job_list_options.filter
        select = None
        if job_list_options is not None:
            select = job_list_options.select
        expand = None
        if job_list_options is not None:
            expand = job_list_options.expand
        max_results = None
        if job_list_options is not None:
            max_results = job_list_options.max_results
        timeout = None
        if job_list_options is not None:
            timeout = job_list_options.timeout
        client_request_id = None
        if job_list_options is not None:
            client_request_id = job_list_options.client_request_id
        return_client_request_id = None
        if job_list_options is not None:
            return_client_request_id = job_list_options.return_client_request_id
        ocp_date = None
        if job_list_options is not None:
            ocp_date = job_list_options.ocp_date

        def internal_paging(next_link=None, raw=False):

            if not next_link:
                # Construct URL
                url = self.list.metadata['url']
                path_format_arguments = {
                    'batchUrl': self._serialize.url("self.config.batch_url", self.config.batch_url, 'str', skip_quote=True)
                }
                url = self._client.format_url(url, **path_format_arguments)

                # Construct parameters
                query_parameters = {}
                query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
                if filter is not None:
                    query_parameters['$filter'] = self._serialize.query("filter", filter, 'str')
                if select is not None:
                    query_parameters['$select'] = self._serialize.query("select", select, 'str')
                if expand is not None:
                    query_parameters['$expand'] = self._serialize.query("expand", expand, 'str')
                if max_results is not None:
                    query_parameters['maxresults'] = self._serialize.query("max_results", max_results, 'int', maximum=1000, minimum=1)
                if timeout is not None:
                    query_parameters['timeout'] = self._serialize.query("timeout", timeout, 'int')

            else:
                url = next_link
                query_parameters = {}

            # Construct headers
            header_parameters = {}
            header_parameters['Accept'] = 'application/json'
            if self.config.generate_client_request_id:
                header_parameters['client-request-id'] = str(uuid.uuid1())
            if custom_headers:
                header_parameters.update(custom_headers)
            if self.config.accept_language is not None:
                header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
            if client_request_id is not None:
                header_parameters['client-request-id'] = self._serialize.header("client_request_id", client_request_id, 'str')
            if return_client_request_id is not None:
                header_parameters['return-client-request-id'] = self._serialize.header("return_client_request_id", return_client_request_id, 'bool')
            if ocp_date is not None:
                header_parameters['ocp-date'] = self._serialize.header("ocp_date", ocp_date, 'rfc-1123')

            # Construct and send request
            request = self._client.get(url, query_parameters, header_parameters)
            response = self._client.send(request, stream=False, **operation_config)

            if response.status_code not in [200]:
                raise models.BatchErrorException(self._deserialize, response)

            return response

        # Deserialize response
        deserialized = models.CloudJobPaged(internal_paging, self._deserialize.dependencies)

        if raw:
            header_dict = {}
            client_raw_response = models.CloudJobPaged(internal_paging, self._deserialize.dependencies, header_dict)
            return client_raw_response

        return deserialized


Instruction:
Here you have a function in Python 3, explain what it does
def models(cls, api_version=DEFAULT_API_VERSION):
        if api_version == '2015-06-01':
            from .v2015_06_01 import models
            return models
        elif api_version == '2015-07-01':
            from .v2015_07_01 import models
            return models
        elif api_version == '2018-01-01-preview':
            from .v2018_01_01_preview import models
            return models
        elif api_version == '2018-07-01-preview':
            from .v2018_07_01_preview import models
            return models
        elif api_version == '2018-09-01-preview':
            from .v2018_09_01_preview import models
            return models
        raise NotImplementedError("APIVersion {} is not available".format(api_version))

Response: Return a new instance of the base class for all the models in the specified API version.


Instruction:
Write a Python 3 function that can
return an instance of the Classic Administrators API Version.

Response:
def classic_administrators(self):
        """Instance depends on the API version:

           * 2015-06-01: :class:`ClassicAdministratorsOperations<azure.mgmt.authorization.v2015_06_01.operations.ClassicAdministratorsOperations>`
        """
        api_version = self._get_api_version('classic_administrators')
        if api_version == '2015-06-01':
            from .v2015_06_01.operations import ClassicAdministratorsOperations as OperationClass
        else:
            raise NotImplementedError("APIVersion {} is not available".format(api_version))
        return OperationClass(self._client, self.config, Serializer(self._models_dict(api_version)), Deserializer(self._models_dict(api_version)))


Instruction:
Given the following Python 3 function, write the documentation
def deny_assignments(self):
        api_version = self._get_api_version('deny_assignments')
        if api_version == '2018-07-01-preview':
            from .v2018_07_01_preview.operations import DenyAssignmentsOperations as OperationClass
        else:
            raise NotImplementedError("APIVersion {} is not available".format(api_version))
        return OperationClass(self._client, self.config, Serializer(self._models_dict(api_version)), Deserializer(self._models_dict(api_version)))

Response: Get an instance of DenyAssignmentsOperations.


Instruction:
How would you implement a function in Python 3 that
gets the permissions for the current user.

Response:
def permissions(self):
        """Instance depends on the API version:

           * 2015-07-01: :class:`PermissionsOperations<azure.mgmt.authorization.v2015_07_01.operations.PermissionsOperations>`
           * 2018-01-01-preview: :class:`PermissionsOperations<azure.mgmt.authorization.v2018_01_01_preview.operations.PermissionsOperations>`
        """
        api_version = self._get_api_version('permissions')
        if api_version == '2015-07-01':
            from .v2015_07_01.operations import PermissionsOperations as OperationClass
        elif api_version == '2018-01-01-preview':
            from .v2018_01_01_preview.operations import PermissionsOperations as OperationClass
        else:
            raise NotImplementedError("APIVersion {} is not available".format(api_version))
        return OperationClass(self._client, self.config, Serializer(self._models_dict(api_version)), Deserializer(self._models_dict(api_version)))


Instruction:
Can you create a Python 3 function that
returns an instance of the ProviderOperationsMetadataOperations API version.

Response:
def provider_operations_metadata(self):
        """Instance depends on the API version:

           * 2015-07-01: :class:`ProviderOperationsMetadataOperations<azure.mgmt.authorization.v2015_07_01.operations.ProviderOperationsMetadataOperations>`
           * 2018-01-01-preview: :class:`ProviderOperationsMetadataOperations<azure.mgmt.authorization.v2018_01_01_preview.operations.ProviderOperationsMetadataOperations>`
        """
        api_version = self._get_api_version('provider_operations_metadata')
        if api_version == '2015-07-01':
            from .v2015_07_01.operations import ProviderOperationsMetadataOperations as OperationClass
        elif api_version == '2018-01-01-preview':
            from .v2018_01_01_preview.operations import ProviderOperationsMetadataOperations as OperationClass
        else:
            raise NotImplementedError("APIVersion {} is not available".format(api_version))
        return OperationClass(self._client, self.config, Serializer(self._models_dict(api_version)), Deserializer(self._models_dict(api_version)))


Instruction:
Can you generate a brief explanation for the following Python 3 code
def role_assignments(self):
        api_version = self._get_api_version('role_assignments')
        if api_version == '2015-07-01':
            from .v2015_07_01.operations import RoleAssignmentsOperations as OperationClass
        elif api_version == '2018-01-01-preview':
            from .v2018_01_01_preview.operations import RoleAssignmentsOperations as OperationClass
        elif api_version == '2018-09-01-preview':
            from .v2018_09_01_preview.operations import RoleAssignmentsOperations as OperationClass
        else:
            raise NotImplementedError("APIVersion {} is not available".format(api_version))
        return OperationClass(self._client, self.config, Serializer(self._models_dict(api_version)), Deserializer(self._models_dict(api_version)))

Response: Return an instance of the RoleAssignments API version.


Instruction:
Create a Python 3 function to
return an instance of the RoleDefinitions API version.

Response:
def role_definitions(self):
        """Instance depends on the API version:

           * 2015-07-01: :class:`RoleDefinitionsOperations<azure.mgmt.authorization.v2015_07_01.operations.RoleDefinitionsOperations>`
           * 2018-01-01-preview: :class:`RoleDefinitionsOperations<azure.mgmt.authorization.v2018_01_01_preview.operations.RoleDefinitionsOperations>`
        """
        api_version = self._get_api_version('role_definitions')
        if api_version == '2015-07-01':
            from .v2015_07_01.operations import RoleDefinitionsOperations as OperationClass
        elif api_version == '2018-01-01-preview':
            from .v2018_01_01_preview.operations import RoleDefinitionsOperations as OperationClass
        else:
            raise NotImplementedError("APIVersion {} is not available".format(api_version))
        return OperationClass(self._client, self.config, Serializer(self._models_dict(api_version)), Deserializer(self._models_dict(api_version)))


Instruction:
Implement a function in Python 3 to
create an xml fragment from the specified data.

Response:
def _data_to_xml(data):
    '''Creates an xml fragment from the specified data.
        data:
            Array of tuples, where first: xml element name
                                    second:
                                        xml element text
                                    third:
                                        conversion function
    '''
    xml = ''
    for element in data:
        name = element[0]
        val = element[1]
        if len(element) > 2:
            converter = element[2]
        else:
            converter = None

        if val is not None:
            if converter is not None:
                text = _str(converter(_str(val)))
            else:
                text = _str(val)

            xml += ''.join(['<', name, '>', text, '</', name, '>'])
    return xml


Instruction:
Can you write a function in Python 3 where it
parses the HTTPResponse s body and fill all the data into a class of return_type.

Response:
def parse_response(response, return_type):
        '''
        Parse the HTTPResponse's body and fill all the data into a class of
        return_type.
        '''
        doc = minidom.parseString(response.body)
        return_obj = return_type()
        xml_name = return_type._xml_name if hasattr(return_type, '_xml_name') else return_type.__name__
        for node in _MinidomXmlToObject.get_child_nodes(doc, xml_name):
            _MinidomXmlToObject._fill_data_to_return_object(node, return_obj)

        return return_obj


Instruction:
Write a Python 3 function that can
parse the HTTPResponse s body and fill all the data into a class of return_type.

Response:
def parse_service_resources_response(response, return_type):
        '''
        Parse the HTTPResponse's body and fill all the data into a class of
        return_type.
        '''
        doc = minidom.parseString(response.body)
        return_obj = _list_of(return_type)
        for node in _MinidomXmlToObject.get_children_from_path(doc, "ServiceResources", "ServiceResource"):
            local_obj = return_type()
            _MinidomXmlToObject._fill_data_to_return_object(node, local_obj)
            return_obj.append(local_obj)

        return return_obj


Instruction:
Create a Python 3 function to
get properties from entry xml

Response:
def get_entry_properties_from_node(entry, include_id, id_prefix_to_skip=None, use_title_as_id=False):
        ''' get properties from entry xml '''
        properties = {}

        etag = entry.getAttributeNS(METADATA_NS, 'etag')
        if etag:
            properties['etag'] = etag
        for updated in _MinidomXmlToObject.get_child_nodes(entry, 'updated'):
            properties['updated'] = updated.firstChild.nodeValue
        for name in _MinidomXmlToObject.get_children_from_path(entry, 'author', 'name'):
            if name.firstChild is not None:
                properties['author'] = name.firstChild.nodeValue

        if include_id:
            if use_title_as_id:
                for title in _MinidomXmlToObject.get_child_nodes(entry, 'title'):
                    properties['name'] = title.firstChild.nodeValue
            else:
                # TODO: check if this is used
                for id in _MinidomXmlToObject.get_child_nodes(entry, 'id'):
                    properties['name'] = _get_readable_id(
                        id.firstChild.nodeValue, id_prefix_to_skip)

        return properties


Instruction:
Implement a function in Python 3 to
descend through a hierarchy of nodes returning the list of children at the inner most level. Only returns children who share a common parent and not cousins.

Response:
def get_children_from_path(node, *path):
        '''descends through a hierarchy of nodes returning the list of children
        at the inner most level.  Only returns children who share a common parent,
        not cousins.'''
        cur = node
        for index, child in enumerate(path):
            if isinstance(child, _strtype):
                next = _MinidomXmlToObject.get_child_nodes(cur, child)
            else:
                next = _MinidomXmlToObject._get_child_nodesNS(cur, *child)
            if index == len(path) - 1:
                return next
            elif not next:
                break

            cur = next[0]
        return []


Instruction:
How would you explain what the following Python 3 function does
def _parse_response_body_from_xml_node(node, return_type):
        '''
        parse the xml and fill all the data into a class of return_type
        '''
        return_obj = return_type()
        _MinidomXmlToObject._fill_data_to_return_object(node, return_obj)

        return return_obj

Response: parse the xml and fill all the data into a class of return_type


Instruction:
Can you implement a function in Python 3 that
converts an xml fragment into a list of scalar types.

Response:
def _fill_scalar_list_of(xmldoc, element_type, parent_xml_element_name,
                             xml_element_name):
        '''Converts an xml fragment into a list of scalar types.  The parent xml
        element contains a flat list of xml elements which are converted into the
        specified scalar type and added to the list.
        Example:
        xmldoc=
    <Endpoints>
        <Endpoint>http://{storage-service-name}.blob.core.windows.net/</Endpoint>
        <Endpoint>http://{storage-service-name}.queue.core.windows.net/</Endpoint>
        <Endpoint>http://{storage-service-name}.table.core.windows.net/</Endpoint>
    </Endpoints>
        element_type=str
        parent_xml_element_name='Endpoints'
        xml_element_name='Endpoint'
        '''
        xmlelements = _MinidomXmlToObject.get_child_nodes(xmldoc, parent_xml_element_name)
        if xmlelements:
            xmlelements = _MinidomXmlToObject.get_child_nodes(xmlelements[0], xml_element_name)
            return [_MinidomXmlToObject._get_node_value(xmlelement, element_type) \
                for xmlelement in xmlelements]


Instruction:
Write a Python 3 function that can
convert a child of the current dom element to the specified type.

Response:
def _fill_instance_child(xmldoc, element_name, return_type):
        '''Converts a child of the current dom element to the specified type.
        '''
        xmlelements = _MinidomXmlToObject.get_child_nodes(
            xmldoc, _get_serialization_name(element_name))

        if not xmlelements:
            return None

        return_obj = return_type()
        _MinidomXmlToObject._fill_data_to_return_object(xmlelements[0], return_obj)

        return return_obj


Instruction:
Can you generate the documentation for the following Python 3 function
def doc_from_xml(document_element_name, inner_xml):
        '''Wraps the specified xml in an xml root element with default azure
        namespaces'''
        xml = ''.join(['<', document_element_name,
                      ' xmlns:i="http://www.w3.org/2001/XMLSchema-instance"',
                      ' xmlns="http://schemas.microsoft.com/windowsazure">'])
        xml += inner_xml
        xml += ''.join(['</', document_element_name, '>'])
        return xml

Response:
Wraps the specified xml in an xml root element with default azure
        namespaces


Instruction:
Make a summary of the following Python 3 code
def doc_from_xml(document_element_name, inner_xml,
                     xmlns='http://schemas.microsoft.com/windowsazure'):
        '''Wraps the specified xml in an xml root element with default azure
        namespaces'''
        xml = ''.join(['<', document_element_name,
                      ' xmlns="{0}">'.format(xmlns)])
        xml += inner_xml
        xml += ''.join(['</', document_element_name, '>'])
        return xml

Response:
Wraps the specified xml in an xml root element with default azure
                      namespaces


Instruction:
Can you implement a function in Python 3 that
converts xml response to service bus namespace

Response:
def xml_to_namespace(xmlstr):
        '''Converts xml response to service bus namespace

        The xml format for namespace:
<entry>
<id>uuid:00000000-0000-0000-0000-000000000000;id=0000000</id>
<title type="text">myunittests</title>
<updated>2012-08-22T16:48:10Z</updated>
<content type="application/xml">
    <NamespaceDescription
        xmlns="http://schemas.microsoft.com/netservices/2010/10/servicebus/connect"
        xmlns:i="http://www.w3.org/2001/XMLSchema-instance">
    <Name>myunittests</Name>
    <Region>West US</Region>
    <DefaultKey>0000000000000000000000000000000000000000000=</DefaultKey>
    <Status>Active</Status>
    <CreatedAt>2012-08-22T16:48:10.217Z</CreatedAt>
    <AcsManagementEndpoint>https://myunittests-sb.accesscontrol.windows.net/</AcsManagementEndpoint>
    <ServiceBusEndpoint>https://myunittests.servicebus.windows.net/</ServiceBusEndpoint>
    <ConnectionString>Endpoint=sb://myunittests.servicebus.windows.net/;SharedSecretIssuer=owner;SharedSecretValue=0000000000000000000000000000000000000000000=</ConnectionString>
    <SubscriptionId>00000000000000000000000000000000</SubscriptionId>
    <Enabled>true</Enabled>
    </NamespaceDescription>
</content>
</entry>
        '''
        xmldoc = minidom.parseString(xmlstr)
        namespace = ServiceBusNamespace()

        mappings = (
            ('Name', 'name', None),
            ('Region', 'region', None),
            ('DefaultKey', 'default_key', None),
            ('Status', 'status', None),
            ('CreatedAt', 'created_at', None),
            ('AcsManagementEndpoint', 'acs_management_endpoint', None),
            ('ServiceBusEndpoint', 'servicebus_endpoint', None),
            ('ConnectionString', 'connection_string', None),
            ('SubscriptionId', 'subscription_id', None),
            ('Enabled', 'enabled', _parse_bool),
        )

        for desc in _MinidomXmlToObject.get_children_from_path(
            xmldoc,
            'entry',
            'content',
            'NamespaceDescription'):
            for xml_name, field_name, conversion_func in mappings:
                node_value = _MinidomXmlToObject.get_first_child_node_value(desc, xml_name)
                if node_value is not None:
                    if conversion_func is not None:
                        node_value = conversion_func(node_value)
                    setattr(namespace, field_name, node_value)

        return namespace


Instruction:
Here you have a function in Python 3, explain what it does
def xml_to_region(xmlstr):
        '''Converts xml response to service bus region

        The xml format for region:
<entry>
<id>uuid:157c311f-081f-4b4a-a0ba-a8f990ffd2a3;id=1756759</id>
<title type="text"></title>
<updated>2013-04-10T18:25:29Z</updated>
<content type="application/xml">
    <RegionCodeDescription
        xmlns="http://schemas.microsoft.com/netservices/2010/10/servicebus/connect"
        xmlns:i="http://www.w3.org/2001/XMLSchema-instance">
    East Asia
    <FullName>East Asia</FullName>
    </RegionCodeDescription>
</content>
</entry>
          '''
        xmldoc = minidom.parseString(xmlstr)
        region = ServiceBusRegion()

        for desc in _MinidomXmlToObject.get_children_from_path(xmldoc, 'entry', 'content',
                                            'RegionCodeDescription'):
            node_value = _MinidomXmlToObject.get_first_child_node_value(desc, 'Code')
            if node_value is not None:
                region.code = node_value
            node_value = _MinidomXmlToObject.get_first_child_node_value(desc, 'FullName')
            if node_value is not None:
                region.fullname = node_value

        return region

Response: Converts xml response to service bus region


Instruction:
Can you write a function in Python 3 where it
converts xml response to service bus namespace availability

Response:
def xml_to_namespace_availability(xmlstr):
        '''Converts xml response to service bus namespace availability

        The xml format:
<?xml version="1.0" encoding="utf-8"?>
<entry xmlns="http://www.w3.org/2005/Atom">
    <id>uuid:9fc7c652-1856-47ab-8d74-cd31502ea8e6;id=3683292</id>
    <title type="text"></title>
    <updated>2013-04-16T03:03:37Z</updated>
    <content type="application/xml">
        <NamespaceAvailability
            xmlns="http://schemas.microsoft.com/netservices/2010/10/servicebus/connect"
            xmlns:i="http://www.w3.org/2001/XMLSchema-instance">
            <Result>false</Result>
        </NamespaceAvailability>
    </content>
</entry>
        '''
        xmldoc = minidom.parseString(xmlstr)
        availability = AvailabilityResponse()

        for desc in _MinidomXmlToObject.get_children_from_path(xmldoc, 'entry', 'content',
                                            'NamespaceAvailability'):
            node_value = _MinidomXmlToObject.get_first_child_node_value(desc, 'Result')
            if node_value is not None:
                availability.result = _parse_bool(node_value)

        return availability


Instruction:
Implement a function in Python 3 to
convert odata type to be completed

Response:
def odata_converter(data, str_type):
        ''' Convert odata type
        http://www.odata.org/documentation/odata-version-2-0/overview#AbstractTypeSystem
        To be completed
        '''
        if not str_type:
            return _str(data)
        if str_type in ["Edm.Single", "Edm.Double"]:
            return float(data)
        elif "Edm.Int" in str_type:
            return int(data)
        else:
            return _str(data)


Instruction:
How would you implement a function in Python 3 that
converts xml response to service bus metrics objects

Response:
def xml_to_metrics(xmlstr, object_type):
        '''Converts xml response to service bus metrics objects

        The xml format for MetricProperties
<entry>
    <id>https://sbgm.windows.net/Metrics(\'listeners.active\')</id>
    <title/>
    <updated>2014-10-09T11:56:50Z</updated>
    <author>
        <name/>
    </author>
    <content type="application/xml">
        <m:properties>
            <d:Name>listeners.active</d:Name>
            <d:PrimaryAggregation>Average</d:PrimaryAggregation>
            <d:Unit>Count</d:Unit>
            <d:DisplayName>Active listeners</d:DisplayName>
        </m:properties>
    </content>
</entry>

        The xml format for MetricValues
    <entry>
        <id>https://sbgm.windows.net/MetricValues(datetime\'2014-10-02T00:00:00Z\')</id>
        <title/>
        <updated>2014-10-09T18:38:28Z</updated>
        <author>
            <name/>
        </author>
        <content type="application/xml">
            <m:properties>
                <d:Timestamp m:type="Edm.DateTime">2014-10-02T00:00:00Z</d:Timestamp>
                <d:Min m:type="Edm.Int64">-118</d:Min>
                <d:Max m:type="Edm.Int64">15</d:Max>
                <d:Average m:type="Edm.Single">-78.44444</d:Average>
                <d:Total m:type="Edm.Int64">0</d:Total>
            </m:properties>
        </content>
    </entry>
        '''

        xmldoc = minidom.parseString(xmlstr)
        return_obj = object_type()

        members = dict(vars(return_obj))

        # Only one entry here
        for xml_entry in _MinidomXmlToObject.get_children_from_path(xmldoc,
                                                 'entry'):
            for node in _MinidomXmlToObject.get_children_from_path(xml_entry,
                                                'content',
                                                'properties'):
                for name in members:
                    xml_name = _get_serialization_name(name)
                    children = _MinidomXmlToObject.get_child_nodes(node, xml_name)
                    if not children:
                        continue
                    child = children[0]
                    node_type = child.getAttributeNS("http://schemas.microsoft.com/ado/2007/08/dataservices/metadata", 'type')
                    node_value = _ServiceBusManagementXmlSerializer.odata_converter(child.firstChild.nodeValue, node_type)
                    setattr(return_obj, name, node_value)
            for name, value in _MinidomXmlToObject.get_entry_properties_from_node(
                xml_entry,
                include_id=True,
                use_title_as_id=False).items():
                if name in members:
                    continue  # Do not override if already members
                setattr(return_obj, name, value)
        return return_obj


Instruction:
Can you generate a brief explanation for the following Python 3 code
def create_cloud_service_to_xml(label, description, geo_region):
        '''
        <CloudService xmlns:i="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://schemas.microsoft.com/windowsazure">
          MyApp3
          <Description>My Cloud Service for app3</Description>
          <GeoRegion>South Central US</GeoRegion>
        </CloudService>
        '''
        body = '<CloudService xmlns:i="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://schemas.microsoft.com/windowsazure">'
        body += ''.join(['', label, ''])
        body += ''.join(['<Description>', description, '</Description>'])
        body += ''.join(['<GeoRegion>', geo_region, '</GeoRegion>'])
        body += '</CloudService>'

        return body

Response: Create a Cloud Service to XML.


Instruction:
Create a Python 3 function to
create a resource collection from the jobs in the system.

Response:
def create_job_collection_to_xml(plan):
        '''
        <Resource xmlns:i="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://schemas.microsoft.com/windowsazure">
        <IntrinsicSettings>
            <Plan>Standard</Plan>
            <Quota>
                <MaxJobCount>10</MaxJobCount>
                <MaxRecurrence>
                    <Frequency>Second</Frequency>
                    <Interval>1</Interval>
                </MaxRecurrence>
            </Quota>
        </IntrinsicSettings>
        </Resource>
        '''

        if plan not in ["Free", "Standard"]:
            raise ValueError("Plan: Invalid option must be 'Standard' or 'Free'")

        body = '<Resource xmlns:i="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://schemas.microsoft.com/windowsazure"><IntrinsicSettings>'
        body += ''.join(['<plan>', plan, '</plan>'])
        body += '</IntrinsicSettings></Resource>'

        return body


Instruction:
Explain what the following Python 3 code does
def management_locks(self):
        api_version = self._get_api_version('management_locks')
        if api_version == '2015-01-01':
            from .v2015_01_01.operations import ManagementLocksOperations as OperationClass
        elif api_version == '2016-09-01':
            from .v2016_09_01.operations import ManagementLocksOperations as OperationClass
        else:
            raise NotImplementedError("APIVersion {} is not available".format(api_version))
        return OperationClass(self._client, self.config, Serializer(self._models_dict(api_version)), Deserializer(self._models_dict(api_version)))

Response: Returns an instance of the ManagementLocks API Version.


Instruction:
Can you generate a brief explanation for the following Python 3 code
def replace_content(
            self, resource_group_name, automation_account_name, runbook_name, runbook_content, custom_headers=None, raw=False, callback=None, polling=True, **operation_config):
        """Replaces the runbook draft content.

        :param resource_group_name: Name of an Azure Resource group.
        :type resource_group_name: str
        :param automation_account_name: The name of the automation account.
        :type automation_account_name: str
        :param runbook_name: The runbook name.
        :type runbook_name: str
        :param runbook_content: The runbook draft content.
        :type runbook_content: Generator
        :param dict custom_headers: headers that will be added to the request
        :param bool raw: The poller return type is ClientRawResponse, the
         direct response alongside the deserialized response
        :param polling: True for ARMPolling, False for no polling, or a
         polling object for personal polling strategy
        :return: An instance of LROPoller that returns object or
         ClientRawResponse<object> if raw==True
        :rtype: ~msrestazure.azure_operation.AzureOperationPoller[Generator]
         or
         ~msrestazure.azure_operation.AzureOperationPoller[~msrest.pipeline.ClientRawResponse[Generator]]
        :raises:
         :class:`ErrorResponseException<azure.mgmt.automation.models.ErrorResponseException>`
        """
        raw_result = self._replace_content_initial(
            resource_group_name=resource_group_name,
            automation_account_name=automation_account_name,
            runbook_name=runbook_name,
            runbook_content=runbook_content,
            custom_headers=custom_headers,
            raw=True,
            **operation_config
        )

        def get_long_running_output(response):
            header_dict = {
                'location': 'str',
            }
            deserialized = self._deserialize('object', response)

            if raw:
                client_raw_response = ClientRawResponse(deserialized, response)
                client_raw_response.add_headers(header_dict)
                return client_raw_response

            return deserialized

        lro_delay = operation_config.get(
            'long_running_operation_timeout',
            self.config.long_running_operation_timeout)
        if polling is True: polling_method = ARMPolling(lro_delay, **operation_config)
        elif polling is False: polling_method = NoPolling()
        else: polling_method = polling
        return LROPoller(self._client, raw_result, get_long_running_output, polling_method)

Response: Replaces the runbook draft content with the runbook content.


Instruction:
How would you code a function in Python 3 to
get domain name recommendations based on keywords.

Response:
def list_recommendations(
            self, keywords=None, max_domain_recommendations=None, custom_headers=None, raw=False, **operation_config):
        """Get domain name recommendations based on keywords.

        Get domain name recommendations based on keywords.

        :param keywords: Keywords to be used for generating domain
         recommendations.
        :type keywords: str
        :param max_domain_recommendations: Maximum number of recommendations.
        :type max_domain_recommendations: int
        :param dict custom_headers: headers that will be added to the request
        :param bool raw: returns the direct response alongside the
         deserialized response
        :param operation_config: :ref:`Operation configuration
         overrides<msrest:optionsforoperations>`.
        :return: An iterator like instance of NameIdentifier
        :rtype:
         ~azure.mgmt.web.models.NameIdentifierPaged[~azure.mgmt.web.models.NameIdentifier]
        :raises:
         :class:`DefaultErrorResponseException<azure.mgmt.web.models.DefaultErrorResponseException>`
        """
        parameters = models.DomainRecommendationSearchParameters(keywords=keywords, max_domain_recommendations=max_domain_recommendations)

        def internal_paging(next_link=None, raw=False):

            if not next_link:
                # Construct URL
                url = self.list_recommendations.metadata['url']
                path_format_arguments = {
                    'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str')
                }
                url = self._client.format_url(url, **path_format_arguments)

                # Construct parameters
                query_parameters = {}
                query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')

            else:
                url = next_link
                query_parameters = {}

            # Construct headers
            header_parameters = {}
            header_parameters['Accept'] = 'application/json'
            header_parameters['Content-Type'] = 'application/json; charset=utf-8'
            if self.config.generate_client_request_id:
                header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
            if custom_headers:
                header_parameters.update(custom_headers)
            if self.config.accept_language is not None:
                header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')

            # Construct body
            body_content = self._serialize.body(parameters, 'DomainRecommendationSearchParameters')

            # Construct and send request
            request = self._client.post(url, query_parameters, header_parameters, body_content)
            response = self._client.send(request, stream=False, **operation_config)

            if response.status_code not in [200]:
                raise models.DefaultErrorResponseException(self._deserialize, response)

            return response

        # Deserialize response
        deserialized = models.NameIdentifierPaged(internal_paging, self._deserialize.dependencies)

        if raw:
            header_dict = {}
            client_raw_response = models.NameIdentifierPaged(internal_paging, self._deserialize.dependencies, header_dict)
            return client_raw_response

        return deserialized


Instruction:
Explain what the following Python 3 code does
def update(
            self, kb_id, update_kb, custom_headers=None, raw=False, **operation_config):
        """Asynchronous operation to modify a knowledgebase.

        :param kb_id: Knowledgebase id.
        :type kb_id: str
        :param update_kb: Post body of the request.
        :type update_kb:
         ~azure.cognitiveservices.knowledge.qnamaker.models.UpdateKbOperationDTO
        :param dict custom_headers: headers that will be added to the request
        :param bool raw: returns the direct response alongside the
         deserialized response
        :param operation_config: :ref:`Operation configuration
         overrides<msrest:optionsforoperations>`.
        :return: Operation or ClientRawResponse if raw=true
        :rtype: ~azure.cognitiveservices.knowledge.qnamaker.models.Operation
         or ~msrest.pipeline.ClientRawResponse
        :raises:
         :class:`ErrorResponseException<azure.cognitiveservices.knowledge.qnamaker.models.ErrorResponseException>`
        """
        # Construct URL
        url = self.update.metadata['url']
        path_format_arguments = {
            'Endpoint': self._serialize.url("self.config.endpoint", self.config.endpoint, 'str', skip_quote=True),
            'kbId': self._serialize.url("kb_id", kb_id, 'str')
        }
        url = self._client.format_url(url, **path_format_arguments)

        # Construct parameters
        query_parameters = {}

        # Construct headers
        header_parameters = {}
        header_parameters['Accept'] = 'application/json'
        header_parameters['Content-Type'] = 'application/json; charset=utf-8'
        if custom_headers:
            header_parameters.update(custom_headers)

        # Construct body
        body_content = self._serialize.body(update_kb, 'UpdateKbOperationDTO')

        # Construct and send request
        request = self._client.patch(url, query_parameters, header_parameters, body_content)
        response = self._client.send(request, stream=False, **operation_config)

        if response.status_code not in [202]:
            raise models.ErrorResponseException(self._deserialize, response)

        deserialized = None
        header_dict = {}

        if response.status_code == 202:
            deserialized = self._deserialize('Operation', response)
            header_dict = {
                'Location': 'str',
            }

        if raw:
            client_raw_response = ClientRawResponse(deserialized, response)
            client_raw_response.add_headers(header_dict)
            return client_raw_response

        return deserialized

Response: Asynchronous operation to modify a specific Knowledgebase.


Instruction:
Given the following Python 3 function, write the documentation
def get(
            self, app_id, metric_id, timespan=None, interval=None, aggregation=None, segment=None, top=None, orderby=None, filter=None, custom_headers=None, raw=False, **operation_config):
        """Retrieve metric data.

        Gets metric values for a single metric.

        :param app_id: ID of the application. This is Application ID from the
         API Access settings blade in the Azure portal.
        :type app_id: str
        :param metric_id: ID of the metric. This is either a standard AI
         metric, or an application-specific custom metric. Possible values
         include: 'requests/count', 'requests/duration', 'requests/failed',
         'users/count', 'users/authenticated', 'pageViews/count',
         'pageViews/duration', 'client/processingDuration',
         'client/receiveDuration', 'client/networkDuration',
         'client/sendDuration', 'client/totalDuration', 'dependencies/count',
         'dependencies/failed', 'dependencies/duration', 'exceptions/count',
         'exceptions/browser', 'exceptions/server', 'sessions/count',
         'performanceCounters/requestExecutionTime',
         'performanceCounters/requestsPerSecond',
         'performanceCounters/requestsInQueue',
         'performanceCounters/memoryAvailableBytes',
         'performanceCounters/exceptionsPerSecond',
         'performanceCounters/processCpuPercentage',
         'performanceCounters/processIOBytesPerSecond',
         'performanceCounters/processPrivateBytes',
         'performanceCounters/processorCpuPercentage',
         'availabilityResults/availabilityPercentage',
         'availabilityResults/duration', 'billing/telemetryCount',
         'customEvents/count'
        :type metric_id: str or ~azure.applicationinsights.models.MetricId
        :param timespan: The timespan over which to retrieve metric values.
         This is an ISO8601 time period value. If timespan is omitted, a
         default time range of `PT12H` ("last 12 hours") is used. The actual
         timespan that is queried may be adjusted by the server based. In all
         cases, the actual time span used for the query is included in the
         response.
        :type timespan: str
        :param interval: The time interval to use when retrieving metric
         values. This is an ISO8601 duration. If interval is omitted, the
         metric value is aggregated across the entire timespan. If interval is
         supplied, the server may adjust the interval to a more appropriate
         size based on the timespan used for the query. In all cases, the
         actual interval used for the query is included in the response.
        :type interval: timedelta
        :param aggregation: The aggregation to use when computing the metric
         values. To retrieve more than one aggregation at a time, separate them
         with a comma. If no aggregation is specified, then the default
         aggregation for the metric is used.
        :type aggregation: list[str or
         ~azure.applicationinsights.models.MetricsAggregation]
        :param segment: The name of the dimension to segment the metric values
         by. This dimension must be applicable to the metric you are
         retrieving. To segment by more than one dimension at a time, separate
         them with a comma (,). In this case, the metric data will be segmented
         in the order the dimensions are listed in the parameter.
        :type segment: list[str or
         ~azure.applicationinsights.models.MetricsSegment]
        :param top: The number of segments to return.  This value is only
         valid when segment is specified.
        :type top: int
        :param orderby: The aggregation function and direction to sort the
         segments by.  This value is only valid when segment is specified.
        :type orderby: str
        :param filter: An expression used to filter the results.  This value
         should be a valid OData filter expression where the keys of each
         clause should be applicable dimensions for the metric you are
         retrieving.
        :type filter: str
        :param dict custom_headers: headers that will be added to the request
        :param bool raw: returns the direct response alongside the
         deserialized response
        :param operation_config: :ref:`Operation configuration
         overrides<msrest:optionsforoperations>`.
        :return: MetricsResult or ClientRawResponse if raw=true
        :rtype: ~azure.applicationinsights.models.MetricsResult or
         ~msrest.pipeline.ClientRawResponse
        :raises:
         :class:`ErrorResponseException<azure.applicationinsights.models.ErrorResponseException>`
        """
        # Construct URL
        url = self.get.metadata['url']
        path_format_arguments = {
            'appId': self._serialize.url("app_id", app_id, 'str'),
            'metricId': self._serialize.url("metric_id", metric_id, 'str')
        }
        url = self._client.format_url(url, **path_format_arguments)

        # Construct parameters
        query_parameters = {}
        if timespan is not None:
            query_parameters['timespan'] = self._serialize.query("timespan", timespan, 'str')
        if interval is not None:
            query_parameters['interval'] = self._serialize.query("interval", interval, 'duration')
        if aggregation is not None:
            query_parameters['aggregation'] = self._serialize.query("aggregation", aggregation, '[MetricsAggregation]', div=',', min_items=1)
        if segment is not None:
            query_parameters['segment'] = self._serialize.query("segment", segment, '[str]', div=',', min_items=1)
        if top is not None:
            query_parameters['top'] = self._serialize.query("top", top, 'int')
        if orderby is not None:
            query_parameters['orderby'] = self._serialize.query("orderby", orderby, 'str')
        if filter is not None:
            query_parameters['filter'] = self._serialize.query("filter", filter, 'str')

        # Construct headers
        header_parameters = {}
        header_parameters['Accept'] = 'application/json'
        if custom_headers:
            header_parameters.update(custom_headers)

        # Construct and send request
        request = self._client.get(url, query_parameters, header_parameters)
        response = self._client.send(request, stream=False, **operation_config)

        if response.status_code not in [200]:
            raise models.ErrorResponseException(self._deserialize, response)

        deserialized = None

        if response.status_code == 200:
            deserialized = self._deserialize('MetricsResult', response)

        if raw:
            client_raw_response = ClientRawResponse(deserialized, response)
            return client_raw_response

        return deserialized

Response: Retrieves the values for a single metric in the specified application.


Instruction:
Implement a function in Python 3 to
retrieve metric values for multiple metrics.

Response:
def get_multiple(
            self, app_id, body, custom_headers=None, raw=False, **operation_config):
        """Retrieve metric data.

        Gets metric values for multiple metrics.

        :param app_id: ID of the application. This is Application ID from the
         API Access settings blade in the Azure portal.
        :type app_id: str
        :param body: The batched metrics query.
        :type body:
         list[~azure.applicationinsights.models.MetricsPostBodySchema]
        :param dict custom_headers: headers that will be added to the request
        :param bool raw: returns the direct response alongside the
         deserialized response
        :param operation_config: :ref:`Operation configuration
         overrides<msrest:optionsforoperations>`.
        :return: list or ClientRawResponse if raw=true
        :rtype: list[~azure.applicationinsights.models.MetricsResultsItem] or
         ~msrest.pipeline.ClientRawResponse
        :raises:
         :class:`ErrorResponseException<azure.applicationinsights.models.ErrorResponseException>`
        """
        # Construct URL
        url = self.get_multiple.metadata['url']
        path_format_arguments = {
            'appId': self._serialize.url("app_id", app_id, 'str')
        }
        url = self._client.format_url(url, **path_format_arguments)

        # Construct parameters
        query_parameters = {}

        # Construct headers
        header_parameters = {}
        header_parameters['Accept'] = 'application/json'
        header_parameters['Content-Type'] = 'application/json; charset=utf-8'
        if custom_headers:
            header_parameters.update(custom_headers)

        # Construct body
        body_content = self._serialize.body(body, '[MetricsPostBodySchema]')

        # Construct and send request
        request = self._client.post(url, query_parameters, header_parameters, body_content)
        response = self._client.send(request, stream=False, **operation_config)

        if response.status_code not in [200]:
            raise models.ErrorResponseException(self._deserialize, response)

        deserialized = None

        if response.status_code == 200:
            deserialized = self._deserialize('[MetricsResultsItem]', response)

        if raw:
            client_raw_response = ClientRawResponse(deserialized, response)
            return client_raw_response

        return deserialized


Instruction:
Can you write a function in Python 3 where it
registers a renewable entity for automatic lock renewal.

Response:
def register(self, renewable, timeout=300):
        """Register a renewable entity for automatic lock renewal.

        :param renewable: A locked entity that needs to be renewed.
        :type renewable: ~azure.servicebus.aio.async_message.Message or
         ~azure.servicebus.aio.async_receive_handler.SessionReceiver
        :param timeout: A time in seconds that the lock should be maintained for.
         Default value is 300 (5 minutes).
        :type timeout: int
        """
        starttime = renewable_start_time(renewable)
        renew_future = asyncio.ensure_future(self._auto_lock_renew(renewable, starttime, timeout), loop=self.loop)
        self._futures.append(renew_future)


Instruction:
Can you create a Python 3 function that
returns an iterator over the object IDs of the groups of which the user is a member.

Response:
def get_member_groups(
            self, object_id, security_enabled_only, additional_properties=None, custom_headers=None, raw=False, **operation_config):
        """Gets a collection that contains the object IDs of the groups of which
        the user is a member.

        :param object_id: The object ID of the user for which to get group
         membership.
        :type object_id: str
        :param security_enabled_only: If true, only membership in
         security-enabled groups should be checked. Otherwise, membership in
         all groups should be checked.
        :type security_enabled_only: bool
        :param additional_properties: Unmatched properties from the message
         are deserialized this collection
        :type additional_properties: dict[str, object]
        :param dict custom_headers: headers that will be added to the request
        :param bool raw: returns the direct response alongside the
         deserialized response
        :param operation_config: :ref:`Operation configuration
         overrides<msrest:optionsforoperations>`.
        :return: An iterator like instance of str
        :rtype: ~azure.graphrbac.models.StrPaged[str]
        :raises:
         :class:`GraphErrorException<azure.graphrbac.models.GraphErrorException>`
        """
        parameters = models.UserGetMemberGroupsParameters(additional_properties=additional_properties, security_enabled_only=security_enabled_only)

        def internal_paging(next_link=None, raw=False):

            if not next_link:
                # Construct URL
                url = self.get_member_groups.metadata['url']
                path_format_arguments = {
                    'objectId': self._serialize.url("object_id", object_id, 'str'),
                    'tenantID': self._serialize.url("self.config.tenant_id", self.config.tenant_id, 'str')
                }
                url = self._client.format_url(url, **path_format_arguments)

                # Construct parameters
                query_parameters = {}
                query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')

            else:
                url = next_link
                query_parameters = {}

            # Construct headers
            header_parameters = {}
            header_parameters['Accept'] = 'application/json'
            header_parameters['Content-Type'] = 'application/json; charset=utf-8'
            if self.config.generate_client_request_id:
                header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
            if custom_headers:
                header_parameters.update(custom_headers)
            if self.config.accept_language is not None:
                header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')

            # Construct body
            body_content = self._serialize.body(parameters, 'UserGetMemberGroupsParameters')

            # Construct and send request
            request = self._client.post(url, query_parameters, header_parameters, body_content)
            response = self._client.send(request, stream=False, **operation_config)

            if response.status_code not in [200]:
                raise models.GraphErrorException(self._deserialize, response)

            return response

        # Deserialize response
        deserialized = models.StrPaged(internal_paging, self._deserialize.dependencies)

        if raw:
            header_dict = {}
            client_raw_response = models.StrPaged(internal_paging, self._deserialize.dependencies, header_dict)
            return client_raw_response

        return deserialized


Instruction:
Here you have a function in Python 3, explain what it does
def build_package_from_pr_number(gh_token, sdk_id, pr_number, output_folder, *, with_comment=False):

    con = Github(gh_token)
    repo = con.get_repo(sdk_id)
    sdk_pr = repo.get_pull(pr_number)
    # "get_files" of Github only download the first 300 files. Might not be enough.
    package_names = {f.filename.split('/')[0] for f in sdk_pr.get_files() if f.filename.startswith("azure")}
    absolute_output_folder = Path(output_folder).resolve()

    with tempfile.TemporaryDirectory() as temp_dir, \
            manage_git_folder(gh_token, Path(temp_dir) / Path("sdk"), sdk_id, pr_number=pr_number) as sdk_folder:

        for package_name in package_names:
            _LOGGER.debug("Build {}".format(package_name))
            execute_simple_command(
                ["python", "./build_package.py", "--dest", str(absolute_output_folder), package_name],
                cwd=sdk_folder
            )
            _LOGGER.debug("Build finished: {}".format(package_name))

    if with_comment:
        files = [f.name for f in absolute_output_folder.iterdir()]
        comment_message = None
        dashboard = DashboardCommentableObject(sdk_pr, "(message created by the CI based on PR content)")
        try:
            installation_message = build_installation_message(sdk_pr)
            download_message = build_download_message(sdk_pr, files)
            comment_message = installation_message + "\n\n" + download_message
            dashboard.create_comment(comment_message)
        except Exception:
            _LOGGER.critical("Unable to do PR comment:\n%s", comment_message)

Response: Build a package from the given PR number.


Instruction:
Write a Python 3 script for
importing data into Redis cache.

Response:
def import_data(
            self, resource_group_name, name, files, format=None, custom_headers=None, raw=False, polling=True, **operation_config):
        """Import data into Redis cache.

        :param resource_group_name: The name of the resource group.
        :type resource_group_name: str
        :param name: The name of the Redis cache.
        :type name: str
        :param files: files to import.
        :type files: list[str]
        :param format: File format.
        :type format: str
        :param dict custom_headers: headers that will be added to the request
        :param bool raw: The poller return type is ClientRawResponse, the
         direct response alongside the deserialized response
        :param polling: True for ARMPolling, False for no polling, or a
         polling object for personal polling strategy
        :return: An instance of LROPoller that returns None or
         ClientRawResponse<None> if raw==True
        :rtype: ~msrestazure.azure_operation.AzureOperationPoller[None] or
         ~msrestazure.azure_operation.AzureOperationPoller[~msrest.pipeline.ClientRawResponse[None]]
        :raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>`
        """
        raw_result = self._import_data_initial(
            resource_group_name=resource_group_name,
            name=name,
            files=files,
            format=format,
            custom_headers=custom_headers,
            raw=True,
            **operation_config
        )

        def get_long_running_output(response):
            if raw:
                client_raw_response = ClientRawResponse(None, response)
                return client_raw_response

        lro_delay = operation_config.get(
            'long_running_operation_timeout',
            self.config.long_running_operation_timeout)
        if polling is True: polling_method = ARMPolling(lro_delay, **operation_config)
        elif polling is False: polling_method = NoPolling()
        else: polling_method = polling
        return LROPoller(self._client, raw_result, get_long_running_output, polling_method)


Instruction:
Make a summary of the following Python 3 code
def create_object_id(collection, vault, name, version):
        collection = _validate_string_argument(collection, 'collection')
        vault = _validate_string_argument(vault, 'vault')
        name = _validate_string_argument(name, 'name')
        version = _validate_string_argument(version, 'version', True)
        _parse_uri_argument(vault)  # check that vault is a valid URI but don't change it
        return KeyVaultIdentifier(collection=collection, vault=vault, name=name, version=version)

Response: Create a KeyVaultId object from the given parameters.


Instruction:
Write a Python 3 function that can
parse a key vault identifier.

Response:
def parse_object_id(collection, id):
        """
        :param collection: The resource collection type.
        :type collection: str
        :param id: The resource uri.
        :type id: str
        :rtype: KeyVaultId
        """
        collection = _validate_string_argument(collection, 'collection')
        return KeyVaultIdentifier(uri=id, collection=collection)


Instruction:
Write a Python 3 script to
create a new KeyId object.

Response:
def create_key_id(vault, name, version=None):
        """
        :param vault: The vault uri.
        :type vault: str
        :param name: The key name.
        :type name: str
        :param version: The key version.
        :type version: str
        :rtype: KeyVaultId
        """
        return KeyId(vault=vault, name=name, version=version)


Instruction:
Implement a Python 3 function for
creating a new KeyVaultId object.

Response:
def create_secret_id(vault, name, version=None):
        """
        :param vault: The vault uri.
        :type vault: str
        :param name: The secret name.
        :type name: str
        :param version: The secret version.
        :type version: str
        :rtype: KeyVaultId
        """
        return SecretId(vault=vault, name=name, version=version)