Prompt:
Implement the Python class `LockWait` described below.

Class description:
平台锁

Method signatures and docstrings:
- def add_lock(self, pm, value=None, timeout=None, wait=True, trade=False): lock.wait改为redis锁 params timeout 超时时间，毫秒 return sec, value
- def remove_lock(self, pm, value): 删除lock.wait

Implement the Python class `LockWait` described below.

Class description:
平台锁

Method signatures and docstrings:
- def add_lock(self, pm, value=None, timeout=None, wait=True, trade=False): lock.wait改为redis锁 params timeout 超时时间，毫秒 return sec, value
- def remove_lock(self, pm, value): 删除lock.wait

<|skeleton|>
class LockWait:
    """平台锁"""

    def add_lock(self, pm, value=None, timeout=None, wait=True, trade=False):
        """lock.wait改为redis锁 params timeout 超时时间，毫秒 return sec, value"""
        <|body_0|>

    def remove_lock(self, pm, value):
        """删除lock.wait"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        sec = False
        key = '%s_%s_%s' % (SERVER_NAME, LOCK_WAIT, pm)
        if value is None:
            value = time.time() * 1000
        value = str(value)
        while True:
            keys = redis_client.keys('%s_trade_%s*' % (SERVER_NAME, pm))
            if trade == False:
                if len(keys) > 0 and wait == False:
                    break
                elif len(keys) > 0:
                    time.sleep(0.1)
                    continue
            if redis_client.setnx(key, value):
                if timeout is not None:
                    redis_client.pexpire(key, int(timeout))
                sec = True
                break
            elif wait == False:
                break
            time.sleep(0.1)
        if sec:
            logging.debug('加锁成功，key:%s value:%s' % (key, value))
        else:
            logging.debug('加锁失败，key:%s value:%s' % (key, value))
        return (sec, value)
<|end_body_0|>

<|body_start_1|>
        key = '%s_%s_%s' % (SERVER_NAME, LOCK_WAIT, pm)
        value = str(value)
        tmp_value = redis_client.get(key)
        if tmp_value == value:
            redis_client.delete(key)
<|end_body_1|>

Solution:
class LockWait:
    """平台锁"""

    def add_lock(self, pm, value=None, timeout=None, wait=True, trade=False):
        """lock.wait改为redis锁 params timeout 超时时间，毫秒 return sec, value"""
        sec = False
        key = '%s_%s_%s' % (SERVER_NAME, LOCK_WAIT, pm)
        if value is None:
            value = time.time() * 1000
        value = str(value)
        while True:
            keys = redis_client.keys('%s_trade_%s*' % (SERVER_NAME, pm))
            if trade == False:
                if len(keys) > 0 and wait == False:
                    break
                elif len(keys) > 0:
                    time.sleep(0.1)
                    continue
            if redis_client.setnx(key, value):
                if timeout is not None:
                    redis_client.pexpire(key, int(timeout))
                sec = True
                break
            elif wait == False:
                break
            time.sleep(0.1)
        if sec:
            logging.debug('加锁成功，key:%s value:%s' % (key, value))
        else:
            logging.debug('加锁失败，key:%s value:%s' % (key, value))
        return (sec, value)

    def remove_lock(self, pm, value):
        """删除lock.wait"""
        key = '%s_%s_%s' % (SERVER_NAME, LOCK_WAIT, pm)
        value = str(value)
        tmp_value = redis_client.get(key)
        if tmp_value == value:
            redis_client.delete(key)


Prompt:
Implement the Python class `Test__increment_output_array` described below.

Class description:
Tests for the _increment_output_array method

Method signatures and docstrings:
- def setUp(self): Create input arrays
- def test_basic(self): Test one increment from the points negative x-wards and positive y-wards on the source grid, with different directional weightings

Implement the Python class `Test__increment_output_array` described below.

Class description:
Tests for the _increment_output_array method

Method signatures and docstrings:
- def setUp(self): Create input arrays
- def test_basic(self): Test one increment from the points negative x-wards and positive y-wards on the source grid, with different directional weightings

<|skeleton|>
class Test__increment_output_array:
    """Tests for the _increment_output_array method"""

    def setUp(self):
        """Create input arrays"""
        <|body_0|>

    def test_basic(self):
        """Test one increment from the points negative x-wards and positive y-wards on the source grid, with different directional weightings"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        vel_x = set_up_xy_velocity_cube('advection_velocity_x')
        vel_y = vel_x.copy(data=2.0 * np.ones(shape=(4, 3)))
        self.dummy_plugin = AdvectField(vel_x, vel_y)
        self.data = np.array([[2.0, 3.0, 4.0], [1.0, 2.0, 3.0], [0.0, 1.0, 2.0], [0.0, 0.0, 1.0]])
        self.xgrid, self.ygrid = np.meshgrid(np.arange(3), np.arange(4))
<|end_body_0|>

<|body_start_1|>
        xsrc = np.array([[-1, 0, 1], [-1, 0, 1], [-1, 0, 1], [-1, 0, 1]])
        ysrc = np.array([[1, 1, 1], [2, 2, 2], [3, 3, 3], [4, 4, 4]])
        cond = np.array([[False, True, True], [False, True, True], [False, True, True], [False, False, False]])
        xfrac = np.full((4, 3), 0.5)
        yfrac = np.full((4, 3), 0.75)
        outdata = np.zeros(shape=(4, 3))
        expected_output = np.array([[0.0, 0.375, 0.75], [0.0, 0.0, 0.375], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]])
        self.dummy_plugin._increment_output_array(self.data, outdata, cond, self.xgrid, self.ygrid, xsrc, ysrc, xfrac, yfrac)
        self.assertIsInstance(outdata, np.ndarray)
        self.assertArrayAlmostEqual(outdata, expected_output)
<|end_body_1|>

Solution:
class Test__increment_output_array:
    """Tests for the _increment_output_array method"""

    def setUp(self):
        """Create input arrays"""
        vel_x = set_up_xy_velocity_cube('advection_velocity_x')
        vel_y = vel_x.copy(data=2.0 * np.ones(shape=(4, 3)))
        self.dummy_plugin = AdvectField(vel_x, vel_y)
        self.data = np.array([[2.0, 3.0, 4.0], [1.0, 2.0, 3.0], [0.0, 1.0, 2.0], [0.0, 0.0, 1.0]])
        self.xgrid, self.ygrid = np.meshgrid(np.arange(3), np.arange(4))

    def test_basic(self):
        """Test one increment from the points negative x-wards and positive y-wards on the source grid, with different directional weightings"""
        xsrc = np.array([[-1, 0, 1], [-1, 0, 1], [-1, 0, 1], [-1, 0, 1]])
        ysrc = np.array([[1, 1, 1], [2, 2, 2], [3, 3, 3], [4, 4, 4]])
        cond = np.array([[False, True, True], [False, True, True], [False, True, True], [False, False, False]])
        xfrac = np.full((4, 3), 0.5)
        yfrac = np.full((4, 3), 0.75)
        outdata = np.zeros(shape=(4, 3))
        expected_output = np.array([[0.0, 0.375, 0.75], [0.0, 0.0, 0.375], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]])
        self.dummy_plugin._increment_output_array(self.data, outdata, cond, self.xgrid, self.ygrid, xsrc, ysrc, xfrac, yfrac)
        self.assertIsInstance(outdata, np.ndarray)
        self.assertArrayAlmostEqual(outdata, expected_output)


Prompt:
Implement the Python class `Trans_inst` described below.

Class description:
策略实例model类

Method signatures and docstrings:
- def save(trans_inst): 新加/修改策略实例表 :param trans: :return:
- def select(self, **kwargs): 新加/修改交易表 :param trans: :return:

Implement the Python class `Trans_inst` described below.

Class description:
策略实例model类

Method signatures and docstrings:
- def save(trans_inst): 新加/修改策略实例表 :param trans: :return:
- def select(self, **kwargs): 新加/修改交易表 :param trans: :return:

<|skeleton|>
class Trans_inst:
    """策略实例model类"""

    def save(trans_inst):
        """新加/修改策略实例表 :param trans: :return:"""
        <|body_0|>

    def select(self, **kwargs):
        """新加/修改交易表 :param trans: :return:"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        session = DBSession()
        session.merge(trans_inst)
        session.commit()
        session.close()
<|end_body_0|>

<|body_start_1|>
        session = DBSession()
        if 'user_id' in kwargs:
            _user_id = kwargs['user_id']
        select = session.query(Trans_inst).filter(Trans_inst.user_id == _user_id).first()
        print(select)
        session.close()
        return select
<|end_body_1|>

Solution:
class Trans_inst:
    """策略实例model类"""

    def save(trans_inst):
        """新加/修改策略实例表 :param trans: :return:"""
        session = DBSession()
        session.merge(trans_inst)
        session.commit()
        session.close()

    def select(self, **kwargs):
        """新加/修改交易表 :param trans: :return:"""
        session = DBSession()
        if 'user_id' in kwargs:
            _user_id = kwargs['user_id']
        select = session.query(Trans_inst).filter(Trans_inst.user_id == _user_id).first()
        print(select)
        session.close()
        return select


Prompt:
Implement the Python class `BaseProp` described below.

Class description:
Base class for backpropagation.

Method signatures and docstrings:
- def __init__(self, model): Init # Arguments: model: torchvision.models. A pretrained model. handle: list. Handle list that register a hook function. relu_outputs: list. Forward output after relu.
- def _register_conv_hook(self): Register hook function to save gradient w.r.t input image.
- def _register_relu_hooks(self): Register hook function to save forward and backward relu result.

Implement the Python class `BaseProp` described below.

Class description:
Base class for backpropagation.

Method signatures and docstrings:
- def __init__(self, model): Init # Arguments: model: torchvision.models. A pretrained model. handle: list. Handle list that register a hook function. relu_outputs: list. Forward output after relu.
- def _register_conv_hook(self): Register hook function to save gradient w.r.t input image.
- def _register_relu_hooks(self): Register hook function to save forward and backward relu result.

<|skeleton|>
class BaseProp:
    """Base class for backpropagation."""

    def __init__(self, model):
        """Init # Arguments: model: torchvision.models. A pretrained model. handle: list. Handle list that register a hook function. relu_outputs: list. Forward output after relu."""
        <|body_0|>

    def _register_conv_hook(self):
        """Register hook function to save gradient w.r.t input image."""
        <|body_1|>

    def _register_relu_hooks(self):
        """Register hook function to save forward and backward relu result."""
        <|body_2|>

<|end_skeleton|>

<|body_start_0|>
        self.model = model
        self.handle = []
        self.relu_outputs = []
<|end_body_0|>

<|body_start_1|>
        def _record_gradients(module, grad_in, grad_out):
            self.gradients = grad_in[0]
        for _, module in self.model.named_modules():
            if isinstance(module, nn.modules.conv.Conv2d) and module.in_channels == 3:
                backward_handle = module.register_backward_hook(_record_gradients)
                self.handle.append(backward_handle)
<|end_body_1|>

<|body_start_2|>
        def _record_output(module, input_, output):
            self.relu_outputs.append(output)

        def _clip_gradients(module, grad_in, grad_out):
            relu_output = self.relu_outputs.pop()
            relu_output[relu_output > 0] = 1
            positive_grad_out = torch.clamp(grad_out[0], min=0.0)
            modified_grad_out = positive_grad_out * relu_output
            return (modified_grad_out,)
        for _, module in self.model.named_modules():
            if isinstance(module, nn.ReLU):
                forward_handle = module.register_forward_hook(_record_output)
                backward_handle = module.register_backward_hook(_clip_gradients)
                self.handle.append(forward_handle)
                self.handle.append(backward_handle)
<|end_body_2|>

Solution:
class BaseProp:
    """Base class for backpropagation."""

    def __init__(self, model):
        """Init # Arguments: model: torchvision.models. A pretrained model. handle: list. Handle list that register a hook function. relu_outputs: list. Forward output after relu."""
        self.model = model
        self.handle = []
        self.relu_outputs = []

    def _register_conv_hook(self):
        """Register hook function to save gradient w.r.t input image."""
        def _record_gradients(module, grad_in, grad_out):
            self.gradients = grad_in[0]
        for _, module in self.model.named_modules():
            if isinstance(module, nn.modules.conv.Conv2d) and module.in_channels == 3:
                backward_handle = module.register_backward_hook(_record_gradients)
                self.handle.append(backward_handle)

    def _register_relu_hooks(self):
        """Register hook function to save forward and backward relu result."""
        def _record_output(module, input_, output):
            self.relu_outputs.append(output)

        def _clip_gradients(module, grad_in, grad_out):
            relu_output = self.relu_outputs.pop()
            relu_output[relu_output > 0] = 1
            positive_grad_out = torch.clamp(grad_out[0], min=0.0)
            modified_grad_out = positive_grad_out * relu_output
            return (modified_grad_out,)
        for _, module in self.model.named_modules():
            if isinstance(module, nn.ReLU):
                forward_handle = module.register_forward_hook(_record_output)
                backward_handle = module.register_backward_hook(_clip_gradients)
                self.handle.append(forward_handle)
                self.handle.append(backward_handle)


myPow

Prompt:
Implement the Python class `Solution` described below.

Class description:
Implement the Solution class.

Method signatures and docstrings:
- def myPow(self, x, n): :type x: float :type n: int :rtype: float
- def myPow_recursive(self, x, n): :type x: float :type n: int :rtype: float
- def myPow_dp(self, x, n): :type x: float :type n: int :rtype: float

Implement the Python class `Solution` described below.

Class description:
Implement the Solution class.

Method signatures and docstrings:
- def myPow(self, x, n): :type x: float :type n: int :rtype: float
- def myPow_recursive(self, x, n): :type x: float :type n: int :rtype: float
- def myPow_dp(self, x, n): :type x: float :type n: int :rtype: float

<|skeleton|>
class Solution:

    def myPow(self, x, n):
        """:type x: float :type n: int :rtype: float"""
        <|body_0|>

    def myPow_recursive(self, x, n):
        """:type x: float :type n: int :rtype: float"""
        <|body_1|>

    def myPow_dp(self, x, n):
        """:type x: float :type n: int :rtype: float"""
        <|body_2|>

<|end_skeleton|>

<|body_start_0|>
        m = abs(n)
        ans = 1
        while m > 0:
            if m & 1 == 1:
                ans *= x
            x *= x
            m >>= 1
        return ans if n >= 0 else 1 / ans
<|end_body_0|>

<|body_start_1|>
        if n == 0:
            return 1
        elif n == 1:
            return x
        elif n < 0:
            return self.myPow(1 / x, -n)
        elif n % 2 == 0:
            tmp = self.myPow(x, n // 2)
            return tmp * tmp
        else:
            return x * self.myPow(x, n - 1)
<|end_body_1|>

<|body_start_2|>
        def dp(n):
            if n in record:
                return record[n]
            else:
                if n == 1:
                    return x
                if n == 2:
                    record[n] = x * x
                elif n % 2 == 0:
                    record[n] = dp(n // 2) * dp(n // 2)
                else:
                    record[n] = x * dp(n // 2) * dp(n // 2)
                return record[n]
        record = {}
        if n > 0:
            return dp(n)
        elif n < 0:
            return 1 / dp(-n)
        else:
            return 1
<|end_body_2|>

Solution:
class Solution:
    def myPow(self, x, n):
        """:type x: float :type n: int :rtype: float"""
        m = abs(n)
        ans = 1
        while m > 0:
            if m & 1 == 1:
                ans *= x
            x *= x
            m >>= 1
        return ans if n >= 0 else 1 / ans

    def myPow_recursive(self, x, n):
        """:type x: float :type n: int :rtype: float"""
        if n == 0:
            return 1
        elif n == 1:
            return x
        elif n < 0:
            return self.myPow(1 / x, -n)
        elif n % 2 == 0:
            tmp = self.myPow(x, n // 2)
            return tmp * tmp
        else:
            return x * self.myPow(x, n - 1)

    def myPow_dp(self, x, n):
        """:type x: float :type n: int :rtype: float"""
        def dp(n):
            if n in record:
                return record[n]
            else:
                if n == 1:
                    return x
                if n == 2:
                    record[n] = x * x
                elif n % 2 == 0:
                    record[n] = dp(n // 2) * dp(n // 2)
                else:
                    record[n] = x * dp(n // 2) * dp(n // 2)
                return record[n]
        record = {}
        if n > 0:
            return dp(n)
        elif n < 0:
            return 1 / dp(-n)
        else:
            return 1


ProcessFormData

Prompt:
Implement the Python class `TemplateCreate` described below.

Class description:
Servlet allowing project owners to create an issue template.

Method signatures and docstrings:
- def AssertBasePermission(self, mr): Check whether the user has any permission to visit this page. Args: mr: commonly used info parsed from the request
- def GatherPageData(self, mr): Build up a dictionary of data values to use when rendering the page. Args: mr: commonly used info parsed from the request. Returns: Dict of values used by EZT for rendering the page.
- def ProcessFormData(self, mr, post_data): Validate and store the contents of the issues tracker admin page. Args: mr: commonly used info parsed from the request. post_data: HTML form data from the request. Returns: String URL to redirect the user to, or None if response was already sent.

Implement the Python class `TemplateCreate` described below.

Class description:
Servlet allowing project owners to create an issue template.

Method signatures and docstrings:
- def AssertBasePermission(self, mr): Check whether the user has any permission to visit this page. Args: mr: commonly used info parsed from the request
- def GatherPageData(self, mr): Build up a dictionary of data values to use when rendering the page. Args: mr: commonly used info parsed from the request. Returns: Dict of values used by EZT for rendering the page.
- def ProcessFormData(self, mr, post_data): Validate and store the contents of the issues tracker admin page. Args: mr: commonly used info parsed from the request. post_data: HTML form data from the request. Returns: String URL to redirect the user to, or None if response was already sent.

<|skeleton|>
class TemplateCreate:
    """Servlet allowing project owners to create an issue template."""

    def AssertBasePermission(self, mr):
        """Check whether the user has any permission to visit this page. Args: mr: commonly used info parsed from the request"""
        <|body_0|>

    def GatherPageData(self, mr):
        """Build up a dictionary of data values to use when rendering the page. Args: mr: commonly used info parsed from the request. Returns: Dict of values used by EZT for rendering the page."""
        <|body_1|>

    def ProcessFormData(self, mr, post_data):
        """Validate and store the contents of the issues tracker admin page. Args: mr: commonly used info parsed from the request. post_data: HTML form data from the request. Returns: String URL to redirect the user to, or None if response was already sent."""
        <|body_2|>

<|end_skeleton|>

<|body_start_0|>
        super(TemplateCreate, self).AssertBasePermission(mr)
        if not self.CheckPerm(mr, permissions.EDIT_PROJECT):
            raise permissions.PermissionException('User is not allowed to administer this project')
<|end_body_0|>

<|body_start_1|>
        config = self.services.config.GetProjectConfig(mr.cnxn, mr.project_id)
        field_views = tracker_views.MakeAllFieldValueViews(config, [], [], [], {})
        approval_subfields_present = any((fv.field_def.is_approval_subfield for fv in field_views))
        initial_phases = [tracker_pb2.Phase()] * template_helpers.MAX_NUM_PHASES
        return {'admin_tab_mode': self._PROCESS_SUBTAB, 'allow_edit': ezt.boolean(True), 'new_template_form': ezt.boolean(True), 'initial_members_only': ezt.boolean(False), 'template_name': '', 'initial_content': '', 'initial_must_edit_summary': ezt.boolean(False), 'initial_summary': '', 'initial_status': '', 'initial_owner': '', 'initial_owner_defaults_to_member': ezt.boolean(False), 'initial_components': '', 'initial_component_required': ezt.boolean(False), 'initial_admins': '', 'fields': [view for view in field_views if view.field_def.type_name is not 'APPROVAL_TYPE'], 'initial_add_approvals': ezt.boolean(False), 'initial_phases': initial_phases, 'approvals': [view for view in field_views if view.field_def.type_name is 'APPROVAL_TYPE'], 'prechecked_approvals': [], 'required_approval_ids': [], 'approval_subfields_present': ezt.boolean(approval_subfields_present), 'phase_fields_present': ezt.boolean(False)}
<|end_body_1|>

<|body_start_2|>
        config = self.services.config.GetProjectConfig(mr.cnxn, mr.project_id)
        parsed = template_helpers.ParseTemplateRequest(post_data, config)
        field_helpers.ShiftEnumFieldsIntoLabels(parsed.labels, [], parsed.field_val_strs, [], config)
        if not parsed.name:
            mr.errors.name = 'Please provide a template name'
        if self.services.template.GetTemplateByName(mr.cnxn, parsed.name, mr.project_id):
            mr.errors.name = 'Template with name %s already exists' % parsed.name
        admin_ids, owner_id, component_ids, field_values, phases, approvals = template_helpers.GetTemplateInfoFromParsed(mr, self.services, parsed, config)
        if mr.errors.AnyErrors():
            field_views = tracker_views.MakeAllFieldValueViews(config, [], [], field_values, {})
            prechecked_approvals = template_helpers.GetCheckedApprovalsFromParsed(parsed.approvals_to_phase_idx)
            self.PleaseCorrect(mr, initial_members_only=ezt.boolean(parsed.members_only), template_name=parsed.name, initial_content=parsed.summary, initial_must_edit_summary=ezt.boolean(parsed.summary_must_be_edited), initial_description=parsed.content, initial_status=parsed.status, initial_owner=parsed.owner_str, initial_owner_defaults_to_member=ezt.boolean(parsed.owner_defaults_to_member), initial_components=', '.join(parsed.component_paths), initial_component_required=ezt.boolean(parsed.component_required), initial_admins=parsed.admin_str, labels=parsed.labels, fields=[view for view in field_views if view.field_def.type_name is not 'APPROVAL_TYPE'], initial_add_approvals=ezt.boolean(parsed.add_approvals), initial_phases=[tracker_pb2.Phase(name=name) for name in parsed.phase_names], approvals=[view for view in field_views if view.field_def.type_name is 'APPROVAL_TYPE'], prechecked_approvals=prechecked_approvals, required_approval_ids=parsed.required_approval_ids)
            return
        labels = [label for label in parsed.labels if label]
        self.services.template.CreateIssueTemplateDef(mr.cnxn, mr.project_id, parsed.name, parsed.content, parsed.summary, parsed.summary_must_be_edited, parsed.status, parsed.members_only, parsed.owner_defaults_to_member, parsed.component_required, owner_id, labels, component_ids, admin_ids, field_values, phases=phases, approval_values=approvals)
        return framework_helpers.FormatAbsoluteURL(mr, urls.ADMIN_TEMPLATES, saved=1, ts=int(time.time()))
<|end_body_2|>

Solution:
class TemplateCreate:
    """Servlet allowing project owners to create an issue template."""

    def AssertBasePermission(self, mr):
        """Check whether the user has any permission to visit this page. Args: mr: commonly used info parsed from the request"""
        super(TemplateCreate, self).AssertBasePermission(mr)
        if not self.CheckPerm(mr, permissions.EDIT_PROJECT):
            raise permissions.PermissionException('User is not allowed to administer this project')

    def GatherPageData(self, mr):
        """Build up a dictionary of data values to use when rendering the page. Args: mr: commonly used info parsed from the request. Returns: Dict of values used by EZT for rendering the page."""
        config = self.services.config.GetProjectConfig(mr.cnxn, mr.project_id)
        field_views = tracker_views.MakeAllFieldValueViews(config, [], [], [], {})
        approval_subfields_present = any((fv.field_def.is_approval_subfield for fv in field_views))
        initial_phases = [tracker_pb2.Phase()] * template_helpers.MAX_NUM_PHASES
        return {'admin_tab_mode': self._PROCESS_SUBTAB, 'allow_edit': ezt.boolean(True), 'new_template_form': ezt.boolean(True), 'initial_members_only': ezt.boolean(False), 'template_name': '', 'initial_content': '', 'initial_must_edit_summary': ezt.boolean(False), 'initial_summary': '', 'initial_status': '', 'initial_owner': '', 'initial_owner_defaults_to_member': ezt.boolean(False), 'initial_components': '', 'initial_component_required': ezt.boolean(False), 'initial_admins': '', 'fields': [view for view in field_views if view.field_def.type_name is not 'APPROVAL_TYPE'], 'initial_add_approvals': ezt.boolean(False), 'initial_phases': initial_phases, 'approvals': [view for view in field_views if view.field_def.type_name is 'APPROVAL_TYPE'], 'prechecked_approvals': [], 'required_approval_ids': [], 'approval_subfields_present': ezt.boolean(approval_subfields_present), 'phase_fields_present': ezt.boolean(False)}

    def ProcessFormData(self, mr, post_data):
        """Validate and store the contents of the issues tracker admin page. Args: mr: commonly used info parsed from the request. post_data: HTML form data from the request. Returns: String URL to redirect the user to, or None if response was already sent."""
        config = self.services.config.GetProjectConfig(mr.cnxn, mr.project_id)
        parsed = template_helpers.ParseTemplateRequest(post_data, config)
        field_helpers.ShiftEnumFieldsIntoLabels(parsed.labels, [], parsed.field_val_strs, [], config)
        if not parsed.name:
            mr.errors.name = 'Please provide a template name'
        if self.services.template.GetTemplateByName(mr.cnxn, parsed.name, mr.project_id):
            mr.errors.name = 'Template with name %s already exists' % parsed.name
        admin_ids, owner_id, component_ids, field_values, phases, approvals = template_helpers.GetTemplateInfoFromParsed(mr, self.services, parsed, config)
        if mr.errors.AnyErrors():
            field_views = tracker_views.MakeAllFieldValueViews(config, [], [], field_values, {})
            prechecked_approvals = template_helpers.GetCheckedApprovalsFromParsed(parsed.approvals_to_phase_idx)
            self.PleaseCorrect(mr, initial_members_only=ezt.boolean(parsed.members_only), template_name=parsed.name, initial_content=parsed.summary, initial_must_edit_summary=ezt.boolean(parsed.summary_must_be_edited), initial_description=parsed.content, initial_status=parsed.status, initial_owner=parsed.owner_str, initial_owner_defaults_to_member=ezt.boolean(parsed.owner_defaults_to_member), initial_components=', '.join(parsed.component_paths), initial_component_required=ezt.boolean(parsed.component_required), initial_admins=parsed.admin_str, labels=parsed.labels, fields=[view for view in field_views if view.field_def.type_name is not 'APPROVAL_TYPE'], initial_add_approvals=ezt.boolean(parsed.add_approvals), initial_phases=[tracker_pb2.Phase(name=name) for name in parsed.phase_names], approvals=[view for view in field_views if view.field_def.type_name is 'APPROVAL_TYPE'], prechecked_approvals=prechecked_approvals, required_approval_ids=parsed.required_approval_ids)
            return
        labels = [label for label in parsed.labels if label]
        self.services.template.CreateIssueTemplateDef(mr.cnxn, mr.project_id, parsed.name, parsed.content, parsed.summary, parsed.summary_must_be_edited, parsed.status, parsed.members_only, parsed.owner_defaults_to_member, parsed.component_required, owner_id, labels, component_ids, admin_ids, field_values, phases=phases, approval_values=approvals)
        return framework_helpers.FormatAbsoluteURL(mr, urls.ADMIN_TEMPLATES, saved=1, ts=int(time.time()))


serialize

Prompt:
Implement the Python class `InternalDomainFederation` described below.

Class description:
Implement the InternalDomainFederation class.

Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> InternalDomainFederation: Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: InternalDomainFederation
- def get_field_deserializers(self) -> Dict[str, Callable[[ParseNode], None]]: The deserialization information for the current model Returns: Dict[str, Callable[[ParseNode], None]]
- def serialize(self, writer: SerializationWriter) -> None: Serializes information the current object Args: writer: Serialization writer to use to serialize this model

Implement the Python class `InternalDomainFederation` described below.

Class description:
Implement the InternalDomainFederation class.

Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> InternalDomainFederation: Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: InternalDomainFederation
- def get_field_deserializers(self) -> Dict[str, Callable[[ParseNode], None]]: The deserialization information for the current model Returns: Dict[str, Callable[[ParseNode], None]]
- def serialize(self, writer: SerializationWriter) -> None: Serializes information the current object Args: writer: Serialization writer to use to serialize this model

<|skeleton|>
class InternalDomainFederation:

    def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> InternalDomainFederation:
        """Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: InternalDomainFederation"""
        <|body_0|>

    def get_field_deserializers(self) -> Dict[str, Callable[[ParseNode], None]]:
        """The deserialization information for the current model Returns: Dict[str, Callable[[ParseNode], None]]"""
        <|body_1|>

    def serialize(self, writer: SerializationWriter) -> None:
        """Serializes information the current object Args: writer: Serialization writer to use to serialize this model"""
        <|body_2|>

<|end_skeleton|>

<|body_start_0|>
        if not parse_node:
            raise TypeError('parse_node cannot be null.')
        return InternalDomainFederation()
<|end_body_0|>

<|body_start_1|>
        from .federated_idp_mfa_behavior import FederatedIdpMfaBehavior
        from .prompt_login_behavior import PromptLoginBehavior
        from .saml_or_ws_fed_provider import SamlOrWsFedProvider
        from .signing_certificate_update_status import SigningCertificateUpdateStatus
        from .federated_idp_mfa_behavior import FederatedIdpMfaBehavior
        from .prompt_login_behavior import PromptLoginBehavior
        from .saml_or_ws_fed_provider import SamlOrWsFedProvider
        from .signing_certificate_update_status import SigningCertificateUpdateStatus
        fields: Dict[str, Callable[[Any], None]] = {'activeSignInUri': lambda n: setattr(self, 'active_sign_in_uri', n.get_str_value()), 'federatedIdpMfaBehavior': lambda n: setattr(self, 'federated_idp_mfa_behavior', n.get_enum_value(FederatedIdpMfaBehavior)), 'isSignedAuthenticationRequestRequired': lambda n: setattr(self, 'is_signed_authentication_request_required', n.get_bool_value()), 'nextSigningCertificate': lambda n: setattr(self, 'next_signing_certificate', n.get_str_value()), 'promptLoginBehavior': lambda n: setattr(self, 'prompt_login_behavior', n.get_enum_value(PromptLoginBehavior)), 'signOutUri': lambda n: setattr(self, 'sign_out_uri', n.get_str_value()), 'signingCertificateUpdateStatus': lambda n: setattr(self, 'signing_certificate_update_status', n.get_object_value(SigningCertificateUpdateStatus))}
        super_fields = super().get_field_deserializers()
        fields.update(super_fields)
        return fields
<|end_body_1|>

<|body_start_2|>
        if not writer:
            raise TypeError('writer cannot be null.')
        super().serialize(writer)
        writer.write_str_value('activeSignInUri', self.active_sign_in_uri)
        writer.write_enum_value('federatedIdpMfaBehavior', self.federated_idp_mfa_behavior)
        writer.write_bool_value('isSignedAuthenticationRequestRequired', self.is_signed_authentication_request_required)
        writer.write_str_value('nextSigningCertificate', self.next_signing_certificate)
        writer.write_enum_value('promptLoginBehavior', self.prompt_login_behavior)
        writer.write_str_value('signOutUri', self.sign_out_uri)
        writer.write_object_value('signingCertificateUpdateStatus', self.signing_certificate_update_status)
<|end_body_2|>

Solution:
class InternalDomainFederation:
    def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> InternalDomainFederation:
        """Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: InternalDomainFederation"""
        if not parse_node:
            raise TypeError('parse_node cannot be null.')
        return InternalDomainFederation()

    def get_field_deserializers(self) -> Dict[str, Callable[[ParseNode], None]]:
        """The deserialization information for the current model Returns: Dict[str, Callable[[ParseNode], None]]"""
        from .federated_idp_mfa_behavior import FederatedIdpMfaBehavior
        from .prompt_login_behavior import PromptLoginBehavior
        from .saml_or_ws_fed_provider import SamlOrWsFedProvider
        from .signing_certificate_update_status import SigningCertificateUpdateStatus
        from .federated_idp_mfa_behavior import FederatedIdpMfaBehavior
        from .prompt_login_behavior import PromptLoginBehavior
        from .saml_or_ws_fed_provider import SamlOrWsFedProvider
        from .signing_certificate_update_status import SigningCertificateUpdateStatus
        fields: Dict[str, Callable[[Any], None]] = {'activeSignInUri': lambda n: setattr(self, 'active_sign_in_uri', n.get_str_value()), 'federatedIdpMfaBehavior': lambda n: setattr(self, 'federated_idp_mfa_behavior', n.get_enum_value(FederatedIdpMfaBehavior)), 'isSignedAuthenticationRequestRequired': lambda n: setattr(self, 'is_signed_authentication_request_required', n.get_bool_value()), 'nextSigningCertificate': lambda n: setattr(self, 'next_signing_certificate', n.get_str_value()), 'promptLoginBehavior': lambda n: setattr(self, 'prompt_login_behavior', n.get_enum_value(PromptLoginBehavior)), 'signOutUri': lambda n: setattr(self, 'sign_out_uri', n.get_str_value()), 'signingCertificateUpdateStatus': lambda n: setattr(self, 'signing_certificate_update_status', n.get_object_value(SigningCertificateUpdateStatus))}
        super_fields = super().get_field_deserializers()
        fields.update(super_fields)
        return fields

    def serialize(self, writer: SerializationWriter) -> None:
        """Serializes information the current object Args: writer: Serialization writer to use to serialize this model"""
        if not writer:
            raise TypeError('writer cannot be null.')
        super().serialize(writer)
        writer.write_str_value('activeSignInUri', self.active_sign_in_uri)
        writer.write_enum_value('federatedIdpMfaBehavior', self.federated_idp_mfa_behavior)
        writer.write_bool_value('isSignedAuthenticationRequestRequired', self.is_signed_authentication_request_required)
        writer.write_str_value('nextSigningCertificate', self.next_signing_certificate)
        writer.write_enum_value('promptLoginBehavior', self.prompt_login_behavior)
        writer.write_str_value('signOutUri', self.sign_out_uri)
        writer.write_object_value('signingCertificateUpdateStatus', self.signing_certificate_update_status)


Prompt:
Implement the Python class `RegistrationLimited` described below.

Class description:
Things related to registering that non-admins owners can change

Method signatures and docstrings:
- def get(self, request): edit form
- def post(self, request): edit the site settings

Implement the Python class `RegistrationLimited` described below.

Class description:
Things related to registering that non-admins owners can change

Method signatures and docstrings:
- def get(self, request): edit form
- def post(self, request): edit the site settings

<|skeleton|>
class RegistrationLimited:
    """Things related to registering that non-admins owners can change"""

    def get(self, request):
        """edit form"""
        <|body_0|>

    def post(self, request):
        """edit the site settings"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        site = models.SiteSettings.objects.get()
        data = {'form': forms.RegistrationLimitedForm(instance=site)}
        return TemplateResponse(request, 'settings/registration_limited.html', data)
<|end_body_0|>

<|body_start_1|>
        site = models.SiteSettings.objects.get()
        form = forms.RegistrationLimitedForm(request.POST, request.FILES, instance=site)
        if not form.is_valid():
            data = {'form': form}
            return TemplateResponse(request, 'settings/registration_limited.html', data)
        site = form.save(request)
        data = {'form': forms.RegistrationLimitedForm(instance=site), 'success': True}
        return TemplateResponse(request, 'settings/registration_limited.html', data)
<|end_body_1|>

Solution:
class RegistrationLimited:
    """Things related to registering that non-admins owners can change"""

    def get(self, request):
        """edit form"""
        site = models.SiteSettings.objects.get()
        data = {'form': forms.RegistrationLimitedForm(instance=site)}
        return TemplateResponse(request, 'settings/registration_limited.html', data)

    def post(self, request):
        """edit the site settings"""
        site = models.SiteSettings.objects.get()
        form = forms.RegistrationLimitedForm(request.POST, request.FILES, instance=site)
        if not form.is_valid():
            data = {'form': form}
            return TemplateResponse(request, 'settings/registration_limited.html', data)
        site = form.save(request)
        data = {'form': forms.RegistrationLimitedForm(instance=site), 'success': True}
        return TemplateResponse(request, 'settings/registration_limited.html', data)


get

Prompt:
Implement the Python class `StrikeDetailsView` described below.

Class description:
This view is the endpoint for retrieving/updating details of a Strike process.

Method signatures and docstrings:
- def get_serializer_class(self): Returns the appropriate serializer based off the requests version of the REST API
- def get(self, request, strike_id): Determine api version and call specific method :param request: the HTTP POST request :type request: :class:`rest_framework.request.Request` :param strike_id: The ID of the Strike process :type strike_id: int encoded as a str :rtype: :class:`rest_framework.response.Response` :returns: the HTTP response to send back to the user
- def get_impl(self, request, strike_id): Retrieves the details for a Strike process and return them in JSON form :param request: the HTTP GET request :type request: :class:`rest_framework.request.Request` :param strike_id: The ID of the Strike process :type strike_id: int encoded as a str :rtype: :class:`rest_framework.response.Response` :returns: the HTTP response to send back to the user
- def patch(self, request, strike_id): Determine api version and call specific method :param request: the HTTP POST request :type request: :class:`rest_framework.request.Request` :param strike_id: The ID of the Strike process :type strike_id: int encoded as a str :rtype: :class:`rest_framework.response.Response` :returns: the HTTP response to send back to the user
- def patch_impl_v6(self, request, strike_id): Edits an existing Strike process and returns the updated details :param request: the HTTP GET request :type request: :class:`rest_framework.request.Request` :param strike_id: The ID of the Strike process :type strike_id: int encoded as a str :rtype: :class:`rest_framework.response.Response` :returns: the HTTP response to send back to the user

Implement the Python class `StrikeDetailsView` described below.

Class description:
This view is the endpoint for retrieving/updating details of a Strike process.

Method signatures and docstrings:
- def get_serializer_class(self): Returns the appropriate serializer based off the requests version of the REST API
- def get(self, request, strike_id): Determine api version and call specific method :param request: the HTTP POST request :type request: :class:`rest_framework.request.Request` :param strike_id: The ID of the Strike process :type strike_id: int encoded as a str :rtype: :class:`rest_framework.response.Response` :returns: the HTTP response to send back to the user
- def get_impl(self, request, strike_id): Retrieves the details for a Strike process and return them in JSON form :param request: the HTTP GET request :type request: :class:`rest_framework.request.Request` :param strike_id: The ID of the Strike process :type strike_id: int encoded as a str :rtype: :class:`rest_framework.response.Response` :returns: the HTTP response to send back to the user
- def patch(self, request, strike_id): Determine api version and call specific method :param request: the HTTP POST request :type request: :class:`rest_framework.request.Request` :param strike_id: The ID of the Strike process :type strike_id: int encoded as a str :rtype: :class:`rest_framework.response.Response` :returns: the HTTP response to send back to the user
- def patch_impl_v6(self, request, strike_id): Edits an existing Strike process and returns the updated details :param request: the HTTP GET request :type request: :class:`rest_framework.request.Request` :param strike_id: The ID of the Strike process :type strike_id: int encoded as a str :rtype: :class:`rest_framework.response.Response` :returns: the HTTP response to send back to the user

<|skeleton|>
class StrikeDetailsView:
    """This view is the endpoint for retrieving/updating details of a Strike process."""

    def get_serializer_class(self):
        """Returns the appropriate serializer based off the requests version of the REST API"""
        <|body_0|>

    def get(self, request, strike_id):
        """Determine api version and call specific method :param request: the HTTP POST request :type request: :class:`rest_framework.request.Request` :param strike_id: The ID of the Strike process :type strike_id: int encoded as a str :rtype: :class:`rest_framework.response.Response` :returns: the HTTP response to send back to the user"""
        <|body_1|>

    def get_impl(self, request, strike_id):
        """Retrieves the details for a Strike process and return them in JSON form :param request: the HTTP GET request :type request: :class:`rest_framework.request.Request` :param strike_id: The ID of the Strike process :type strike_id: int encoded as a str :rtype: :class:`rest_framework.response.Response` :returns: the HTTP response to send back to the user"""
        <|body_2|>

    def patch(self, request, strike_id):
        """Determine api version and call specific method :param request: the HTTP POST request :type request: :class:`rest_framework.request.Request` :param strike_id: The ID of the Strike process :type strike_id: int encoded as a str :rtype: :class:`rest_framework.response.Response` :returns: the HTTP response to send back to the user"""
        <|body_3|>

    def patch_impl_v6(self, request, strike_id):
        """Edits an existing Strike process and returns the updated details :param request: the HTTP GET request :type request: :class:`rest_framework.request.Request` :param strike_id: The ID of the Strike process :type strike_id: int encoded as a str :rtype: :class:`rest_framework.response.Response` :returns: the HTTP response to send back to the user"""
        <|body_4|>

<|end_skeleton|>

<|body_start_0|>
        if self.request.version == 'v6':
            return StrikeDetailsSerializerV6
        elif self.request.version == 'v7':
            return StrikeDetailsSerializerV6
<|end_body_0|>

<|body_start_1|>
        if request.version == 'v6':
            return self.get_impl(request, strike_id)
        elif request.version == 'v7':
            return self.get_impl(request, strike_id)
        raise Http404()
<|end_body_1|>

<|body_start_2|>
        try:
            is_staff = False
            if request.user:
                is_staff = request.user.is_staff
            strike = Strike.objects.get_details(strike_id, is_staff)
        except Strike.DoesNotExist:
            raise Http404
        serializer = self.get_serializer(strike)
        return Response(serializer.data)
<|end_body_2|>

<|body_start_3|>
        if request.version == 'v6':
            return self.patch_impl_v6(request, strike_id)
        elif request.version == 'v7':
            return self.patch_impl_v6(request, strike_id)
        raise Http404()
<|end_body_3|>

<|body_start_4|>
        title = rest_util.parse_string(request, 'title', required=False)
        description = rest_util.parse_string(request, 'description', required=False)
        configuration = rest_util.parse_dict(request, 'configuration', required=False)
        config = None
        try:
            if configuration:
                config = StrikeConfigurationV6(configuration, do_validate=True).get_configuration()
        except InvalidStrikeConfiguration as ex:
            raise BadParameter('Strike configuration invalid: %s' % unicode(ex))
        try:
            if config:
                new_config = config.get_dict()
                old_config = Strike.objects.get_details(strike_id)
            Strike.objects.edit_strike(strike_id, title, description, config)
            if config and old_config.configuration['workspace'] != new_config['workspace']:
                strike_job = old_config.job
                Job.objects.update_jobs_to_canceled([strike_job], timezone.now())
                requeue_jobs = []
                requeue_jobs.append(QueuedJob(strike_job.id, strike_job.num_exes))
                msg = create_requeue_jobs_messages(requeue_jobs)
                CommandMessageManager().send_messages(msg)
        except Strike.DoesNotExist:
            raise Http404
        except InvalidStrikeConfiguration as ex:
            logger.exception('Unable to edit Strike process: %s', strike_id)
            raise BadParameter(unicode(ex))
        return Response(status=status.HTTP_204_NO_CONTENT)
<|end_body_4|>

Solution:
class StrikeDetailsView:
    """This view is the endpoint for retrieving/updating details of a Strike process."""

    def get_serializer_class(self):
        """Returns the appropriate serializer based off the requests version of the REST API"""
        if self.request.version == 'v6':
            return StrikeDetailsSerializerV6
        elif self.request.version == 'v7':
            return StrikeDetailsSerializerV6

    def get(self, request, strike_id):
        """Determine api version and call specific method :param request: the HTTP POST request :type request: :class:`rest_framework.request.Request` :param strike_id: The ID of the Strike process :type strike_id: int encoded as a str :rtype: :class:`rest_framework.response.Response` :returns: the HTTP response to send back to the user"""
        if request.version == 'v6':
            return self.get_impl(request, strike_id)
        elif request.version == 'v7':
            return self.get_impl(request, strike_id)
        raise Http404()

    def get_impl(self, request, strike_id):
        """Retrieves the details for a Strike process and return them in JSON form :param request: the HTTP GET request :type request: :class:`rest_framework.request.Request` :param strike_id: The ID of the Strike process :type strike_id: int encoded as a str :rtype: :class:`rest_framework.response.Response` :returns: the HTTP response to send back to the user"""
        try:
            is_staff = False
            if request.user:
                is_staff = request.user.is_staff
            strike = Strike.objects.get_details(strike_id, is_staff)
        except Strike.DoesNotExist:
            raise Http404
        serializer = self.get_serializer(strike)
        return Response(serializer.data)

    def patch(self, request, strike_id):
        """Determine api version and call specific method :param request: the HTTP POST request :type request: :class:`rest_framework.request.Request` :param strike_id: The ID of the Strike process :type strike_id: int encoded as a str :rtype: :class:`rest_framework.response.Response` :returns: the HTTP response to send back to the user"""
        if request.version == 'v6':
            return self.patch_impl_v6(request, strike_id)
        elif request.version == 'v7':
            return self.patch_impl_v6(request, strike_id)
        raise Http404()

    def patch_impl_v6(self, request, strike_id):
        """Edits an existing Strike process and returns the updated details :param request: the HTTP GET request :type request: :class:`rest_framework.request.Request` :param strike_id: The ID of the Strike process :type strike_id: int encoded as a str :rtype: :class:`rest_framework.response.Response` :returns: the HTTP response to send back to the user"""
        title = rest_util.parse_string(request, 'title', required=False)
        description = rest_util.parse_string(request, 'description', required=False)
        configuration = rest_util.parse_dict(request, 'configuration', required=False)
        config = None
        try:
            if configuration:
                config = StrikeConfigurationV6(configuration, do_validate=True).get_configuration()
        except InvalidStrikeConfiguration as ex:
            raise BadParameter('Strike configuration invalid: %s' % unicode(ex))
        try:
            if config:
                new_config = config.get_dict()
                old_config = Strike.objects.get_details(strike_id)
            Strike.objects.edit_strike(strike_id, title, description, config)
            if config and old_config.configuration['workspace'] != new_config['workspace']:
                strike_job = old_config.job
                Job.objects.update_jobs_to_canceled([strike_job], timezone.now())
                requeue_jobs = []
                requeue_jobs.append(QueuedJob(strike_job.id, strike_job.num_exes))
                msg = create_requeue_jobs_messages(requeue_jobs)
                CommandMessageManager().send_messages(msg)
        except Strike.DoesNotExist:
            raise Http404
        except InvalidStrikeConfiguration as ex:
            logger.exception('Unable to edit Strike process: %s', strike_id)
            raise BadParameter(unicode(ex))
        return Response(status=status.HTTP_204_NO_CONTENT)


Prompt:
Implement the Python class `Histograms` described below.

Class description:
Implement the Histograms class.

Method signatures and docstrings:
- def plot_time_histogram(ax, data, bins, where=np.s_[:], **kwargs): Plot a histogram of a quantity through time. bins - edges of the histogram bins where - z index or slice object to use
- def vertical_histogram(self, ax, quantity, bins, levels): Make a contour plot of the vertical distribution of some quantity. Creates a histogram (over time and space) for each vertical level and then concatenates these together.

Implement the Python class `Histograms` described below.

Class description:
Implement the Histograms class.

Method signatures and docstrings:
- def plot_time_histogram(ax, data, bins, where=np.s_[:], **kwargs): Plot a histogram of a quantity through time. bins - edges of the histogram bins where - z index or slice object to use
- def vertical_histogram(self, ax, quantity, bins, levels): Make a contour plot of the vertical distribution of some quantity. Creates a histogram (over time and space) for each vertical level and then concatenates these together.

<|skeleton|>
class Histograms:

    def plot_time_histogram(ax, data, bins, where=np.s_[:], **kwargs):
        """Plot a histogram of a quantity through time. bins - edges of the histogram bins where - z index or slice object to use"""
        <|body_0|>

    def vertical_histogram(self, ax, quantity, bins, levels):
        """Make a contour plot of the vertical distribution of some quantity. Creates a histogram (over time and space) for each vertical level and then concatenates these together."""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        H, edges = np.histogramdd(data, bins=bins, normed=True)
        Hmasked = np.ma.masked_where(H == 0, H)
        xedges, yedges = edges[:2]
        if 'levels' not in kwargs:
            kwargs['levels'] = np.linspace(0, 10)
        ax.contourf(xedges[1:], yedges[1:], Hmasked.T[where], **kwargs)
        ax.set_xlabel('time after front passage')
        ax.set_ylabel('vertical velocity')
        return ax
<|end_body_0|>

<|body_start_1|>
        iZ = None
        q = quantity
        hist_kwargs = {'range': range, 'bins': bins}
        q_bins = np.histogram(q[0], **hist_kwargs)[1]
        hist_z = np.vstack((np.histogram(q[z], **hist_kwargs)[0] for z in iZ))
        levels = np.linspace(0, 500, 100)
        contourf = ax.contourf(q_bins[1:], iZ, hist_z, levels=levels)
        ax.set_title('distribution function')
        ax.set_xlabel('quantity')
        ax.set_ylabel('z')
        return contourf
<|end_body_1|>

Solution:
class Histograms:
    def plot_time_histogram(ax, data, bins, where=np.s_[:], **kwargs):
        """Plot a histogram of a quantity through time. bins - edges of the histogram bins where - z index or slice object to use"""
        H, edges = np.histogramdd(data, bins=bins, normed=True)
        Hmasked = np.ma.masked_where(H == 0, H)
        xedges, yedges = edges[:2]
        if 'levels' not in kwargs:
            kwargs['levels'] = np.linspace(0, 10)
        ax.contourf(xedges[1:], yedges[1:], Hmasked.T[where], **kwargs)
        ax.set_xlabel('time after front passage')
        ax.set_ylabel('vertical velocity')
        return ax

    def vertical_histogram(self, ax, quantity, bins, levels):
        """Make a contour plot of the vertical distribution of some quantity. Creates a histogram (over time and space) for each vertical level and then concatenates these together."""
        iZ = None
        q = quantity
        hist_kwargs = {'range': range, 'bins': bins}
        q_bins = np.histogram(q[0], **hist_kwargs)[1]
        hist_z = np.vstack((np.histogram(q[z], **hist_kwargs)[0] for z in iZ))
        levels = np.linspace(0, 500, 100)
        contourf = ax.contourf(q_bins[1:], iZ, hist_z, levels=levels)
        ax.set_title('distribution function')
        ax.set_xlabel('quantity')
        ax.set_ylabel('z')
        return contourf


deserialize

Prompt:
Implement the Python class `Codec` described below.

Class description:
Implement the Codec class.

Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype: TreeNode

Implement the Python class `Codec` described below.

Class description:
Implement the Codec class.

Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype: TreeNode

<|skeleton|>
class Codec:

    def serialize(self, root):
        """Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
        <|body_0|>

    def deserialize(self, data):
        """Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        def dfs(node):
            if node is None:
                return ['null']
            res = []
            res.append(str(node.val))
            res.extend(dfs(node.left))
            res.extend(dfs(node.right))
            return res
        return ','.join(dfs(root))
<|end_body_0|>

<|body_start_1|>
        nodes = deque(data.split(','))

        def dfs():
            s = nodes.popleft()
            if s == 'null':
                return None
            node = TreeNode(int(s))
            node.left = dfs()
            node.right = dfs()
            return node
        return dfs()
<|end_body_1|>

Solution:
class Codec:
    def serialize(self, root):
        """Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
        def dfs(node):
            if node is None:
                return ['null']
            res = []
            res.append(str(node.val))
            res.extend(dfs(node.left))
            res.extend(dfs(node.right))
            return res
        return ','.join(dfs(root))

    def deserialize(self, data):
        """Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
        nodes = deque(data.split(','))

        def dfs():
            s = nodes.popleft()
            if s == 'null':
                return None
            node = TreeNode(int(s))
            node.left = dfs()
            node.right = dfs()
            return node
        return dfs()


forward

Prompt:
Implement the Python class `ViTLayerBetterTransformer` described below.

Class description:
Implement the ViTLayerBetterTransformer class.

Method signatures and docstrings:
- def __init__(self, vit_layer, config): A simple conversion of the ViTLayer to its `BetterTransformer` implementation. Args: vit_layer (`torch.nn.Module`): The original `ViTLayer` where the weights needs to be retrieved.
- def forward(self, hidden_states, *_, **__): This is just a wrapper around the forward function proposed in: https://github.com/huggingface/transformers/pull/19553

Implement the Python class `ViTLayerBetterTransformer` described below.

Class description:
Implement the ViTLayerBetterTransformer class.

Method signatures and docstrings:
- def __init__(self, vit_layer, config): A simple conversion of the ViTLayer to its `BetterTransformer` implementation. Args: vit_layer (`torch.nn.Module`): The original `ViTLayer` where the weights needs to be retrieved.
- def forward(self, hidden_states, *_, **__): This is just a wrapper around the forward function proposed in: https://github.com/huggingface/transformers/pull/19553

<|skeleton|>
class ViTLayerBetterTransformer:

    def __init__(self, vit_layer, config):
        """A simple conversion of the ViTLayer to its `BetterTransformer` implementation. Args: vit_layer (`torch.nn.Module`): The original `ViTLayer` where the weights needs to be retrieved."""
        <|body_0|>

    def forward(self, hidden_states, *_, **__):
        """This is just a wrapper around the forward function proposed in: https://github.com/huggingface/transformers/pull/19553"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        super().__init__(config)
        self.in_proj_weight = nn.Parameter(torch.cat([vit_layer.attention.attention.query.weight, vit_layer.attention.attention.key.weight, vit_layer.attention.attention.value.weight]))
        self.in_proj_bias = nn.Parameter(torch.cat([vit_layer.attention.attention.query.bias, vit_layer.attention.attention.key.bias, vit_layer.attention.attention.value.bias]))
        self.out_proj_weight = vit_layer.attention.output.dense.weight
        self.out_proj_bias = vit_layer.attention.output.dense.bias
        self.linear1_weight = vit_layer.intermediate.dense.weight
        self.linear1_bias = vit_layer.intermediate.dense.bias
        self.linear2_weight = vit_layer.output.dense.weight
        self.linear2_bias = vit_layer.output.dense.bias
        self.norm1_eps = vit_layer.layernorm_before.eps
        self.norm1_weight = vit_layer.layernorm_before.weight
        self.norm1_bias = vit_layer.layernorm_before.bias
        self.norm2_eps = vit_layer.layernorm_after.eps
        self.norm2_weight = vit_layer.layernorm_after.weight
        self.norm2_bias = vit_layer.layernorm_after.bias
        self.num_heads = vit_layer.attention.attention.num_attention_heads
        self.embed_dim = int(vit_layer.attention.attention.attention_head_size * self.num_heads)
        self.is_last_layer = False
        self.norm_first = True
        self.validate_bettertransformer()
<|end_body_0|>

<|body_start_1|>
        super().forward_checker()
        attention_mask = None
        hidden_states = torch._transformer_encoder_layer_fwd(hidden_states, self.embed_dim, self.num_heads, self.in_proj_weight, self.in_proj_bias, self.out_proj_weight, self.out_proj_bias, self.use_gelu, self.norm_first, self.norm1_eps, self.norm1_weight, self.norm1_bias, self.norm2_weight, self.norm2_bias, self.linear1_weight, self.linear1_bias, self.linear2_weight, self.linear2_bias, attention_mask)
        if hidden_states.is_nested and self.is_last_layer:
            hidden_states = hidden_states.to_padded_tensor(0.0)
        return (hidden_states,)
<|end_body_1|>

Solution:
class ViTLayerBetterTransformer:
    def __init__(self, vit_layer, config):
        """A simple conversion of the ViTLayer to its `BetterTransformer` implementation. Args: vit_layer (`torch.nn.Module`): The original `ViTLayer` where the weights needs to be retrieved."""
        super().__init__(config)
        self.in_proj_weight = nn.Parameter(torch.cat([vit_layer.attention.attention.query.weight, vit_layer.attention.attention.key.weight, vit_layer.attention.attention.value.weight]))
        self.in_proj_bias = nn.Parameter(torch.cat([vit_layer.attention.attention.query.bias, vit_layer.attention.attention.key.bias, vit_layer.attention.attention.value.bias]))
        self.out_proj_weight = vit_layer.attention.output.dense.weight
        self.out_proj_bias = vit_layer.attention.output.dense.bias
        self.linear1_weight = vit_layer.intermediate.dense.weight
        self.linear1_bias = vit_layer.intermediate.dense.bias
        self.linear2_weight = vit_layer.output.dense.weight
        self.linear2_bias = vit_layer.output.dense.bias
        self.norm1_eps = vit_layer.layernorm_before.eps
        self.norm1_weight = vit_layer.layernorm_before.weight
        self.norm1_bias = vit_layer.layernorm_before.bias
        self.norm2_eps = vit_layer.layernorm_after.eps
        self.norm2_weight = vit_layer.layernorm_after.weight
        self.norm2_bias = vit_layer.layernorm_after.bias
        self.num_heads = vit_layer.attention.attention.num_attention_heads
        self.embed_dim = int(vit_layer.attention.attention.attention_head_size * self.num_heads)
        self.is_last_layer = False
        self.norm_first = True
        self.validate_bettertransformer()

    def forward(self, hidden_states, *_, **__):
        """This is just a wrapper around the forward function proposed in: https://github.com/huggingface/transformers/pull/19553"""
        super().forward_checker()
        attention_mask = None
        hidden_states = torch._transformer_encoder_layer_fwd(hidden_states, self.embed_dim, self.num_heads, self.in_proj_weight, self.in_proj_bias, self.out_proj_weight, self.out_proj_bias, self.use_gelu, self.norm_first, self.norm1_eps, self.norm1_weight, self.norm1_bias, self.norm2_weight, self.norm2_bias, self.linear1_weight, self.linear1_bias, self.linear2_weight, self.linear2_bias, attention_mask)
        if hidden_states.is_nested and self.is_last_layer:
            hidden_states = hidden_states.to_padded_tensor(0.0)
        return (hidden_states,)


Prompt:
Implement the Python class `PersonOrOrganizationSchema` described below.

Class description:
Person or Organization schema.

Method signatures and docstrings:
- def validate_names(self, data, **kwargs): Validate names based on type.
- def update_names(self, data, **kwargs): Update names for organization / person. Fill name from given_name and family_name if person. Remove given_name and family_name if organization.

Implement the Python class `PersonOrOrganizationSchema` described below.

Class description:
Person or Organization schema.

Method signatures and docstrings:
- def validate_names(self, data, **kwargs): Validate names based on type.
- def update_names(self, data, **kwargs): Update names for organization / person. Fill name from given_name and family_name if person. Remove given_name and family_name if organization.

<|skeleton|>
class PersonOrOrganizationSchema:
    """Person or Organization schema."""

    def validate_names(self, data, **kwargs):
        """Validate names based on type."""
        <|body_0|>

    def update_names(self, data, **kwargs):
        """Update names for organization / person. Fill name from given_name and family_name if person. Remove given_name and family_name if organization."""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        if data['type'] == 'personal':
            if not (data.get('given_name') or data.get('family_name')):
                messages = [_('Family name or given name must be filled.')]
                raise ValidationError({'given_name': messages, 'family_name': messages})
        elif data['type'] == 'organizational':
            if not data.get('name'):
                messages = [_('Name cannot be blank.')]
                raise ValidationError({'name': messages})
<|end_body_0|>

<|body_start_1|>
        if data['type'] == 'personal':
            names = [data.get('family_name'), data.get('given_name')]
            data['name'] = ', '.join([n for n in names if n])
        elif data['type'] == 'organizational':
            if 'family_name' in data:
                del data['family_name']
            if 'given_name' in data:
                del data['given_name']
        return data
<|end_body_1|>

Solution:
class PersonOrOrganizationSchema:
    """Person or Organization schema."""

    def validate_names(self, data, **kwargs):
        """Validate names based on type."""
        if data['type'] == 'personal':
            if not (data.get('given_name') or data.get('family_name')):
                messages = [_('Family name or given name must be filled.')]
                raise ValidationError({'given_name': messages, 'family_name': messages})
        elif data['type'] == 'organizational':
            if not data.get('name'):
                messages = [_('Name cannot be blank.')]
                raise ValidationError({'name': messages})

    def update_names(self, data, **kwargs):
        """Update names for organization / person. Fill name from given_name and family_name if person. Remove given_name and family_name if organization."""
        if data['type'] == 'personal':
            names = [data.get('family_name'), data.get('given_name')]
            data['name'] = ', '.join([n for n in names if n])
        elif data['type'] == 'organizational':
            if 'family_name' in data:
                del data['family_name']
            if 'given_name' in data:
                del data['given_name']
        return data


Prompt:
Implement the Python class `Tile` described below.

Class description:
Implement the Tile class.

Method signatures and docstrings:
- def __init__(self, file, size): This will load an image and resize it as specified. The class comes with shading features and can be used as a parent class for board game like tiles that need additional attributes. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Inputs: file - This is a string of the picture file name including extension size - This is a tuple containing the length and height of the tile (doc string updated ver 0.5)
- def initialize_shade(self, shade_name, shade_color, alpha): This method will create semi-transparent surfaces with a specified color. The surface can be toggled on and off. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Inputs: Shade_name - String of the name that you want to associate with the surface Shade_color - An rgb tuple of the color of the shade Alpha - Level of transparency of the shade (0-255 with 150 being a good middle value) (doc string updated ver 0.6)
- def toggle_shade(self, shade): This method will overlay a semi-transparent shade on top of the tile's image. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Inputs: shade - This will designate which shade you wish to turn on or off. Blue and red shades are available by default. (doc string updated ver 0.6)

Implement the Python class `Tile` described below.

Class description:
Implement the Tile class.

Method signatures and docstrings:
- def __init__(self, file, size): This will load an image and resize it as specified. The class comes with shading features and can be used as a parent class for board game like tiles that need additional attributes. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Inputs: file - This is a string of the picture file name including extension size - This is a tuple containing the length and height of the tile (doc string updated ver 0.5)
- def initialize_shade(self, shade_name, shade_color, alpha): This method will create semi-transparent surfaces with a specified color. The surface can be toggled on and off. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Inputs: Shade_name - String of the name that you want to associate with the surface Shade_color - An rgb tuple of the color of the shade Alpha - Level of transparency of the shade (0-255 with 150 being a good middle value) (doc string updated ver 0.6)
- def toggle_shade(self, shade): This method will overlay a semi-transparent shade on top of the tile's image. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Inputs: shade - This will designate which shade you wish to turn on or off. Blue and red shades are available by default. (doc string updated ver 0.6)

<|skeleton|>
class Tile:

    def __init__(self, file, size):
        """This will load an image and resize it as specified. The class comes with shading features and can be used as a parent class for board game like tiles that need additional attributes. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Inputs: file - This is a string of the picture file name including extension size - This is a tuple containing the length and height of the tile (doc string updated ver 0.5)"""
        <|body_0|>

    def initialize_shade(self, shade_name, shade_color, alpha):
        """This method will create semi-transparent surfaces with a specified color. The surface can be toggled on and off. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Inputs: Shade_name - String of the name that you want to associate with the surface Shade_color - An rgb tuple of the color of the shade Alpha - Level of transparency of the shade (0-255 with 150 being a good middle value) (doc string updated ver 0.6)"""
        <|body_1|>

    def toggle_shade(self, shade):
        """This method will overlay a semi-transparent shade on top of the tile's image. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Inputs: shade - This will designate which shade you wish to turn on or off. Blue and red shades are available by default. (doc string updated ver 0.6)"""
        <|body_2|>

<|end_skeleton|>

<|body_start_0|>
        Button.__init__(self, 1, file, (0, 0), resize=size)
        self.pic = pygame.Surface(self.image.get_size())
        self.pic.blit(self.image, (0, 0))
        self.shades = {}
        self.initialize_shade('blue', (0, 0, 255), 150)
        self.initialize_shade('red', (255, 0, 0), 150)
<|end_body_0|>

<|body_start_1|>
        self.shades[shade_name] = [0, pygame.Surface(self.image.get_size())]
        self.shades[shade_name][1].fill(shade_color)
        self.shades[shade_name][1].set_alpha(alpha)
<|end_body_1|>

<|body_start_2|>
        if self.shades[shade][0]:
            self.shades[shade][0] = 0
        else:
            self.shades[shade][0] = 1
        self.image.blit(self.pic, (0, 0))
        for key in self.shades:
            if self.shades[key][0]:
                self.image.blit(self.shades[key][1], (0, 0))
<|end_body_2|>

Solution:
class Tile:
    def __init__(self, file, size):
        """This will load an image and resize it as specified. The class comes with shading features and can be used as a parent class for board game like tiles that need additional attributes. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Inputs: file - This is a string of the picture file name including extension size - This is a tuple containing the length and height of the tile (doc string updated ver 0.5)"""
        Button.__init__(self, 1, file, (0, 0), resize=size)
        self.pic = pygame.Surface(self.image.get_size())
        self.pic.blit(self.image, (0, 0))
        self.shades = {}
        self.initialize_shade('blue', (0, 0, 255), 150)
        self.initialize_shade('red', (255, 0, 0), 150)

    def initialize_shade(self, shade_name, shade_color, alpha):
        """This method will create semi-transparent surfaces with a specified color. The surface can be toggled on and off. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Inputs: Shade_name - String of the name that you want to associate with the surface Shade_color - An rgb tuple of the color of the shade Alpha - Level of transparency of the shade (0-255 with 150 being a good middle value) (doc string updated ver 0.6)"""
        self.shades[shade_name] = [0, pygame.Surface(self.image.get_size())]
        self.shades[shade_name][1].fill(shade_color)
        self.shades[shade_name][1].set_alpha(alpha)

    def toggle_shade(self, shade):
        """This method will overlay a semi-transparent shade on top of the tile's image. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Inputs: shade - This will designate which shade you wish to turn on or off. Blue and red shades are available by default. (doc string updated ver 0.6)"""
        if self.shades[shade][0]:
            self.shades[shade][0] = 0
        else:
            self.shades[shade][0] = 1
        self.image.blit(self.pic, (0, 0))
        for key in self.shades:
            if self.shades[key][0]:
                self.image.blit(self.shades[key][1], (0, 0))


cleanup

Prompt:
Implement the Python class `ScipyGOController` described below.

Class description:
Controller for the Scipy fitting software.

Method signatures and docstrings:
- def __init__(self, cost_func): Initialises variable used for temporary storage. :param cost_func: Cost function object selected from options. :type cost_func: subclass of :class:`~fitbenchmarking.cost_func.base_cost_func.CostFunc`
- def setup(self): Setup problem ready to be run with SciPy GO
- def fit(self): Run problem with Scipy GO.
- def cleanup(self): Convert the result to a numpy array and populate the variables results will be read from.

Implement the Python class `ScipyGOController` described below.

Class description:
Controller for the Scipy fitting software.

Method signatures and docstrings:
- def __init__(self, cost_func): Initialises variable used for temporary storage. :param cost_func: Cost function object selected from options. :type cost_func: subclass of :class:`~fitbenchmarking.cost_func.base_cost_func.CostFunc`
- def setup(self): Setup problem ready to be run with SciPy GO
- def fit(self): Run problem with Scipy GO.
- def cleanup(self): Convert the result to a numpy array and populate the variables results will be read from.

<|skeleton|>
class ScipyGOController:
    """Controller for the Scipy fitting software."""

    def __init__(self, cost_func):
        """Initialises variable used for temporary storage. :param cost_func: Cost function object selected from options. :type cost_func: subclass of :class:`~fitbenchmarking.cost_func.base_cost_func.CostFunc`"""
        <|body_0|>

    def setup(self):
        """Setup problem ready to be run with SciPy GO"""
        <|body_1|>

    def fit(self):
        """Run problem with Scipy GO."""
        <|body_2|>

    def cleanup(self):
        """Convert the result to a numpy array and populate the variables results will be read from."""
        <|body_3|>

<|end_skeleton|>

<|body_start_0|>
        super().__init__(cost_func)
        self.support_for_bounds = True
        self._popt = None
        self._status = None
        self._maxiter = None
<|end_body_0|>

<|body_start_1|>
        if self.minimizer == 'shgo':
            self._maxiter = 100
        else:
            self._maxiter = 1000
        if self.value_ranges is None or np.any(np.isinf(self.value_ranges)):
            raise MissingBoundsError('SciPy GO requires finite bounds on all parameters')
<|end_body_1|>

<|body_start_2|>
        if self.minimizer == 'differential_evolution':
            kwargs = {'maxiter': self._maxiter}
        elif self.minimizer == 'shgo':
            kwargs = {'options': {'maxiter': self._maxiter, 'jac': self.cost_func.jac_cost}}
        elif self.minimizer == 'dual_annealing':
            kwargs = {'maxiter': self._maxiter, 'local_search_options': {'jac': self.cost_func.jac_cost}}
        fun = self.cost_func.eval_cost
        bounds = self.value_ranges
        algorithm = getattr(optimize, self.minimizer)
        result = algorithm(fun, bounds, **kwargs)
        self._popt = result.x
        if result.success:
            self._status = 0
        elif 'Maximum number of iteration' in result.message:
            self._status = 1
        else:
            self._status = 2
<|end_body_2|>

<|body_start_3|>
        if self._status == 0:
            self.flag = 0
        elif self._status == 1:
            self.flag = 1
        else:
            self.flag = 2
        self.final_params = self._popt
<|end_body_3|>

Solution:
class ScipyGOController:
    """Controller for the Scipy fitting software."""

    def __init__(self, cost_func):
        """Initialises variable used for temporary storage. :param cost_func: Cost function object selected from options. :type cost_func: subclass of :class:`~fitbenchmarking.cost_func.base_cost_func.CostFunc`"""
        super().__init__(cost_func)
        self.support_for_bounds = True
        self._popt = None
        self._status = None
        self._maxiter = None

    def setup(self):
        """Setup problem ready to be run with SciPy GO"""
        if self.minimizer == 'shgo':
            self._maxiter = 100
        else:
            self._maxiter = 1000
        if self.value_ranges is None or np.any(np.isinf(self.value_ranges)):
            raise MissingBoundsError('SciPy GO requires finite bounds on all parameters')

    def fit(self):
        """Run problem with Scipy GO."""
        if self.minimizer == 'differential_evolution':
            kwargs = {'maxiter': self._maxiter}
        elif self.minimizer == 'shgo':
            kwargs = {'options': {'maxiter': self._maxiter, 'jac': self.cost_func.jac_cost}}
        elif self.minimizer == 'dual_annealing':
            kwargs = {'maxiter': self._maxiter, 'local_search_options': {'jac': self.cost_func.jac_cost}}
        fun = self.cost_func.eval_cost
        bounds = self.value_ranges
        algorithm = getattr(optimize, self.minimizer)
        result = algorithm(fun, bounds, **kwargs)
        self._popt = result.x
        if result.success:
            self._status = 0
        elif 'Maximum number of iteration' in result.message:
            self._status = 1
        else:
            self._status = 2

    def cleanup(self):
        """Convert the result to a numpy array and populate the variables results will be read from."""
        if self._status == 0:
            self.flag = 0
        elif self._status == 1:
            self.flag = 1
        else:
            self.flag = 2
        self.final_params = self._popt


Prompt:
Implement the Python class `Solution` described below.

Class description:
The thought process goes like this- Given a number N, we can possibly write it as a sum of 2 numbers, 3 numbers, 4 numbers and so on. Let's assume the fist number in this series be x. Hence, we should have x + (x+1) + (x+2)+...+ k terms = N kx + k*(k-1)/2 = N implies kx = N - k*(k-1)/2 So, we can calculate the RHS for every value of k and if it is a multiple of k then we can construct a sum of N using k terms starting from x. Now, the question arises, till what value of k should we loop for? That's easy. In the worst case, RHS should be greater than 0. That is N - k*(k-1)/2 > 0 which implies k*(k-1) < 2N which can be approximated to k*k < 2N ==> k < sqrt(2N) Hence the overall complexity of t

Method signatures and docstrings:
- def consecutiveNumbersSum(self, N): :type N: int :rtype: int
- def consecutiveNumbersSum(self, N): :type N: int :rtype: int

Implement the Python class `Solution` described below.

Class description:
The thought process goes like this- Given a number N, we can possibly write it as a sum of 2 numbers, 3 numbers, 4 numbers and so on. Let's assume the fist number in this series be x. Hence, we should have x + (x+1) + (x+2)+...+ k terms = N kx + k*(k-1)/2 = N implies kx = N - k*(k-1)/2 So, we can calculate the RHS for every value of k and if it is a multiple of k then we can construct a sum of N using k terms starting from x. Now, the question arises, till what value of k should we loop for? That's easy. In the worst case, RHS should be greater than 0. That is N - k*(k-1)/2 > 0 which implies k*(k-1) < 2N which can be approximated to k*k < 2N ==> k < sqrt(2N) Hence the overall complexity of t

Method signatures and docstrings:
- def consecutiveNumbersSum(self, N): :type N: int :rtype: int
- def consecutiveNumbersSum(self, N): :type N: int :rtype: int

<|skeleton|>
class Solution:
    """The thought process goes like this- Given a number N, we can possibly write it as a sum of 2 numbers, 3 numbers, 4 numbers and so on. Let's assume the fist number in this series be x. Hence, we should have x + (x+1) + (x+2)+...+ k terms = N kx + k*(k-1)/2 = N implies kx = N - k*(k-1)/2 So, we can calculate the RHS for every value of k and if it is a multiple of k then we can construct a sum of N using k terms starting from x. Now, the question arises, till what value of k should we loop for? That's easy. In the worst case, RHS should be greater than 0. That is N - k*(k-1)/2 > 0 which implies k*(k-1) < 2N which can be approximated to k*k < 2N ==> k < sqrt(2N) Hence the overall complexity of t"""

    def consecutiveNumbersSum(self, N):
        """:type N: int :rtype: int"""
        <|body_0|>

    def consecutiveNumbersSum(self, N):
        """:type N: int :rtype: int"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        count = 1
        for k in range(2, int(math.sqrt(2 * N)) + 1):
            if (N - k * (k - 1) / 2) % k == 0:
                count += 1
        return count
<|end_body_0|>

<|body_start_1|>
        count, k = (1, 2)
        while N > k * (k - 1) // 2:
            if (N - k * (k - 1) / 2) % k == 0:
                count += 1
            k += 1
        return count
<|end_body_1|>

Solution:
class Solution:
    """The thought process goes like this- Given a number N, we can possibly write it as a sum of 2 numbers, 3 numbers, 4 numbers and so on. Let's assume the fist number in this series be x. Hence, we should have x + (x+1) + (x+2)+...+ k terms = N kx + k*(k-1)/2 = N implies kx = N - k*(k-1)/2 So, we can calculate the RHS for every value of k and if it is a multiple of k then we can construct a sum of N using k terms starting from x. Now, the question arises, till what value of k should we loop for? That's easy. In the worst case, RHS should be greater than 0. That is N - k*(k-1)/2 > 0 which implies k*(k-1) < 2N which can be approximated to k*k < 2N ==> k < sqrt(2N) Hence the overall complexity of t"""

    def consecutiveNumbersSum(self, N):
        """:type N: int :rtype: int"""
        count = 1
        for k in range(2, int(math.sqrt(2 * N)) + 1):
            if (N - k * (k - 1) / 2) % k == 0:
                count += 1
        return count

    def consecutiveNumbersSum(self, N):
        """:type N: int :rtype: int"""
        count, k = (1, 2)
        while N > k * (k - 1) // 2:
            if (N - k * (k - 1) / 2) % k == 0:
                count += 1
            k += 1
        return count


out

Prompt:
Implement the Python class `GaussStep` described below.

Class description:
Implement the GaussStep class.

Method signatures and docstrings:
- def __init__(self, step_time, mu=None, sigma=None, n_step=None, ss=None): Settings for a Gauss step sequence Args: mu (float) sigma (float) step_time: Time to perform step change n_step (int): Number of steps Notes: Preferred signal for closed-loop control training data set.
- def out(self, t: any, dim=(None, None)) -> any: Generate a Gauss sequence Args: dim: Dimension tuple in form (samples, params) t: Time vector Returns: array_like: Signal sequence corresponding to the time vector.

Implement the Python class `GaussStep` described below.

Class description:
Implement the GaussStep class.

Method signatures and docstrings:
- def __init__(self, step_time, mu=None, sigma=None, n_step=None, ss=None): Settings for a Gauss step sequence Args: mu (float) sigma (float) step_time: Time to perform step change n_step (int): Number of steps Notes: Preferred signal for closed-loop control training data set.
- def out(self, t: any, dim=(None, None)) -> any: Generate a Gauss sequence Args: dim: Dimension tuple in form (samples, params) t: Time vector Returns: array_like: Signal sequence corresponding to the time vector.

<|skeleton|>
class GaussStep:

    def __init__(self, step_time, mu=None, sigma=None, n_step=None, ss=None):
        """Settings for a Gauss step sequence Args: mu (float) sigma (float) step_time: Time to perform step change n_step (int): Number of steps Notes: Preferred signal for closed-loop control training data set."""
        <|body_0|>

    def out(self, t: any, dim=(None, None)) -> any:
        """Generate a Gauss sequence Args: dim: Dimension tuple in form (samples, params) t: Time vector Returns: array_like: Signal sequence corresponding to the time vector."""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        self.ss = ss
        self.n_step = n_step
        self.mu = mu
        self.sigma = sigma
        self.step_time = step_time
<|end_body_0|>

<|body_start_1|>
        step_vector = np.abs([round(gauss(self.mu, self.sigma), 1) for _ in range(self.n_step)])
        u = np.zeros(shape=dim)
        j = 0
        for i in range(len(t)):
            if t[i] % self.step_time == 0 and t[i] != 0 and (j + 1 != len(step_vector)) and (i != len(t) - 1):
                j += 1
            if self.ss is not None and j == 0:
                u[i, :] = self.ss
            else:
                u[i, :] = step_vector[j]
        return u
<|end_body_1|>

Solution:
class GaussStep:
    def __init__(self, step_time, mu=None, sigma=None, n_step=None, ss=None):
        """Settings for a Gauss step sequence Args: mu (float) sigma (float) step_time: Time to perform step change n_step (int): Number of steps Notes: Preferred signal for closed-loop control training data set."""
        self.ss = ss
        self.n_step = n_step
        self.mu = mu
        self.sigma = sigma
        self.step_time = step_time

    def out(self, t: any, dim=(None, None)) -> any:
        """Generate a Gauss sequence Args: dim: Dimension tuple in form (samples, params) t: Time vector Returns: array_like: Signal sequence corresponding to the time vector."""
        step_vector = np.abs([round(gauss(self.mu, self.sigma), 1) for _ in range(self.n_step)])
        u = np.zeros(shape=dim)
        j = 0
        for i in range(len(t)):
            if t[i] % self.step_time == 0 and t[i] != 0 and (j + 1 != len(step_vector)) and (i != len(t) - 1):
                j += 1
            if self.ss is not None and j == 0:
                u[i, :] = self.ss
            else:
                u[i, :] = step_vector[j]
        return u


adduniq

Prompt:
Implement the Python class `Dol` described below.

Class description:
dol is dict of lists

Method signatures and docstrings:
- def insert(self, nr, item, issue): add issue to item entry
- def add(self, item, issue): add issue to item entry
- def adduniq(self, item, issue): only add issue to item if it is not already there
- def delete(self, item, number): del self[item][number]
- def remove(self, item, issue): remove issue from item
- def has(self, item, issue): check if item has issue

Implement the Python class `Dol` described below.

Class description:
dol is dict of lists

Method signatures and docstrings:
- def insert(self, nr, item, issue): add issue to item entry
- def add(self, item, issue): add issue to item entry
- def adduniq(self, item, issue): only add issue to item if it is not already there
- def delete(self, item, number): del self[item][number]
- def remove(self, item, issue): remove issue from item
- def has(self, item, issue): check if item has issue

<|skeleton|>
class Dol:
    """dol is dict of lists"""

    def insert(self, nr, item, issue):
        """add issue to item entry"""
        <|body_0|>

    def add(self, item, issue):
        """add issue to item entry"""
        <|body_1|>

    def adduniq(self, item, issue):
        """only add issue to item if it is not already there"""
        <|body_2|>

    def delete(self, item, number):
        """del self[item][number]"""
        <|body_3|>

    def remove(self, item, issue):
        """remove issue from item"""
        <|body_4|>

    def has(self, item, issue):
        """check if item has issue"""
        <|body_5|>

<|end_skeleton|>

<|body_start_0|>
        if self.has_key(item):
            self[item].insert(nr, issue)
        else:
            self[item] = [issue]
        return 1
<|end_body_0|>

<|body_start_1|>
        if self.has_key(item):
            self[item].append(issue)
        else:
            self[item] = [issue]
        return 1
<|end_body_1|>

<|body_start_2|>
        if self.has_key(item):
            if issue in self[item]:
                return 0
        self.add(item, issue)
        return 1
<|end_body_2|>

<|body_start_3|>
        number = int(number)
        if self.has_key(item):
            try:
                del self[item][number]
                return 1
            except IndexError:
                return None
<|end_body_3|>

<|body_start_4|>
        try:
            self[item].remove(issue)
            return 1
        except ValueError:
            pass
<|end_body_4|>

<|body_start_5|>
        try:
            if issue in self[item]:
                return 1
            else:
                return None
        except KeyError:
            pass
<|end_body_5|>

Solution:
class Dol:
    """dol is dict of lists"""

    def insert(self, nr, item, issue):
        """add issue to item entry"""
        if self.has_key(item):
            self[item].insert(nr, issue)
        else:
            self[item] = [issue]
        return 1

    def add(self, item, issue):
        """add issue to item entry"""
        if self.has_key(item):
            self[item].append(issue)
        else:
            self[item] = [issue]
        return 1

    def adduniq(self, item, issue):
        """only add issue to item if it is not already there"""
        if self.has_key(item):
            if issue in self[item]:
                return 0
        self.add(item, issue)
        return 1

    def delete(self, item, number):
        """del self[item][number]"""
        number = int(number)
        if self.has_key(item):
            try:
                del self[item][number]
                return 1
            except IndexError:
                return None

    def remove(self, item, issue):
        """remove issue from item"""
        try:
            self[item].remove(issue)
            return 1
        except ValueError:
            pass

    def has(self, item, issue):
        """check if item has issue"""
        try:
            if issue in self[item]:
                return 1
            else:
                return None
        except KeyError:
            pass