输入邮箱地址发送邮件，然后取得登录验证的链接并成功登录

使用错误的链接无法完成登录，并得到登录失败的提示

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

Class description:
登录测试

Method signatures and docstrings:
- def test_001(self): 输入邮箱地址发送邮件，然后取得登录验证的链接并成功登录
- def test_002(self): 使用错误的链接无法完成登录，并得到登录失败的提示
- def test_003(self): 对同一邮箱地址发送了两次登录验证的邮件 那么，第一次得到的登录验证邮件中的链接无法完成登录 第二次得到的则可以

Implement the Python class `LoginTest` described below.

Class description:
登录测试

Method signatures and docstrings:
- def test_001(self): 输入邮箱地址发送邮件，然后取得登录验证的链接并成功登录
- def test_002(self): 使用错误的链接无法完成登录，并得到登录失败的提示
- def test_003(self): 对同一邮箱地址发送了两次登录验证的邮件 那么，第一次得到的登录验证邮件中的链接无法完成登录 第二次得到的则可以

<|skeleton|>
class LoginTest:
    """登录测试"""

    def test_001(self):
        """输入邮箱地址发送邮件，然后取得登录验证的链接并成功登录"""
        <|body_0|>

    def test_002(self):
        """使用错误的链接无法完成登录，并得到登录失败的提示"""
        <|body_1|>

    def test_003(self):
        """对同一邮箱地址发送了两次登录验证的邮件 那么，第一次得到的登录验证邮件中的链接无法完成登录 第二次得到的则可以"""
        <|body_2|>

<|end_skeleton|>

<|body_start_0|>
        if self.staging_tests:
            test_email = 'superlists_tests@163.com'
        else:
            test_email = 'abc@163.com'
        self.browser.get(self.live_server_url)
        input_email = self.browser.find_element_by_name('email')
        input_email.send_keys(test_email)
        input_email.send_keys(Keys.ENTER)
        self.wait_for(lambda: self.assertIn('邮件发送成功', self.browser.find_element_by_id('id_messages').text))
        email_body = self.wait_for_email(test_email)
        url = self.get_token_url(email_body)
        self.assertIn(self.live_server_url, url)
        self.browser.get(url)
        self.wait_to_be_logged_in(email=test_email)
        self.browser.find_element_by_link_text('退出').click()
        self.wait_to_be_logged_out(email=test_email)
<|end_body_0|>

<|body_start_1|>
        discorrect_url = '{}/accounts/login?token=abc123'.format(self.live_server_url)
        self.browser.get(discorrect_url)
        self.wait_for(lambda: self.assertIn('登录失败', self.browser.find_element_by_id('id_messages').text))
        self.browser.find_element_by_name('email')
<|end_body_1|>

<|body_start_2|>
        if self.staging_tests:
            test_email = 'superlists_tests@163.com'
        else:
            test_email = 'abc@163.com'
        self.browser.get(self.live_server_url)
        input_email = self.browser.find_element_by_name('email')
        input_email.send_keys(test_email)
        input_email.send_keys(Keys.ENTER)
        self.wait_for(lambda: self.assertIn('邮件发送成功', self.browser.find_element_by_id('id_messages').text))
        email_body = self.wait_for_email(test_email)
        url_1 = self.get_token_url(email_body)
        self.browser.quit()
        time.sleep(5)
        self.init_browser()
        self.browser.get(self.live_server_url)
        input_email = self.browser.find_element_by_name('email')
        input_email.send_keys(test_email)
        input_email.send_keys(Keys.ENTER)
        self.wait_for(lambda: self.assertIn('邮件发送成功', self.browser.find_element_by_id('id_messages').text))
        email_body = self.wait_for_email(test_email)
        url_2 = self.get_token_url(email_body)
        self.assertNotEqual(url_1, url_2)
        self.browser.get(url_1)
        self.wait_for(lambda: self.assertIn('登录失败', self.browser.find_element_by_id('id_messages').text))
        self.browser.find_element_by_name('email')
        self.browser.get(url_2)
        self.wait_to_be_logged_in(email=test_email)
<|end_body_2|>

Solution:
class LoginTest:
    """登录测试"""

    def test_001(self):
        """输入邮箱地址发送邮件，然后取得登录验证的链接并成功登录"""
        if self.staging_tests:
            test_email = 'superlists_tests@163.com'
        else:
            test_email = 'abc@163.com'
        self.browser.get(self.live_server_url)
        input_email = self.browser.find_element_by_name('email')
        input_email.send_keys(test_email)
        input_email.send_keys(Keys.ENTER)
        self.wait_for(lambda: self.assertIn('邮件发送成功', self.browser.find_element_by_id('id_messages').text))
        email_body = self.wait_for_email(test_email)
        url = self.get_token_url(email_body)
        self.assertIn(self.live_server_url, url)
        self.browser.get(url)
        self.wait_to_be_logged_in(email=test_email)
        self.browser.find_element_by_link_text('退出').click()
        self.wait_to_be_logged_out(email=test_email)

    def test_002(self):
        """使用错误的链接无法完成登录，并得到登录失败的提示"""
        discorrect_url = '{}/accounts/login?token=abc123'.format(self.live_server_url)
        self.browser.get(discorrect_url)
        self.wait_for(lambda: self.assertIn('登录失败', self.browser.find_element_by_id('id_messages').text))
        self.browser.find_element_by_name('email')

    def test_003(self):
        """对同一邮箱地址发送了两次登录验证的邮件 那么，第一次得到的登录验证邮件中的链接无法完成登录 第二次得到的则可以"""
        if self.staging_tests:
            test_email = 'superlists_tests@163.com'
        else:
            test_email = 'abc@163.com'
        self.browser.get(self.live_server_url)
        input_email = self.browser.find_element_by_name('email')
        input_email.send_keys(test_email)
        input_email.send_keys(Keys.ENTER)
        self.wait_for(lambda: self.assertIn('邮件发送成功', self.browser.find_element_by_id('id_messages').text))
        email_body = self.wait_for_email(test_email)
        url_1 = self.get_token_url(email_body)
        self.browser.quit()
        time.sleep(5)
        self.init_browser()
        self.browser.get(self.live_server_url)
        input_email = self.browser.find_element_by_name('email')
        input_email.send_keys(test_email)
        input_email.send_keys(Keys.ENTER)
        self.wait_for(lambda: self.assertIn('邮件发送成功', self.browser.find_element_by_id('id_messages').text))
        email_body = self.wait_for_email(test_email)
        url_2 = self.get_token_url(email_body)
        self.assertNotEqual(url_1, url_2)
        self.browser.get(url_1)
        self.wait_for(lambda: self.assertIn('登录失败', self.browser.find_element_by_id('id_messages').text))
        self.browser.find_element_by_name('email')
        self.browser.get(url_2)
        self.wait_to_be_logged_in(email=test_email)


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

Class description:
Unit tests for dependency_analysis.class_dependency.JavaClass.

Method signatures and docstrings:
- def test_initialization(self): Tests that JavaClass is initialized correctly.
- def test_equality(self): Tests that two JavaClasses with the same package+class are equal.
- def test_add_nested_class(self): Tests adding a single nested class to this class.
- def test_add_nested_class_multiple(self): Tests adding multiple nested classes to this class.
- def test_add_nested_class_duplicate(self): Tests that adding the same nested class twice will not dupe.

Implement the Python class `TestJavaClass` described below.

Class description:
Unit tests for dependency_analysis.class_dependency.JavaClass.

Method signatures and docstrings:
- def test_initialization(self): Tests that JavaClass is initialized correctly.
- def test_equality(self): Tests that two JavaClasses with the same package+class are equal.
- def test_add_nested_class(self): Tests adding a single nested class to this class.
- def test_add_nested_class_multiple(self): Tests adding multiple nested classes to this class.
- def test_add_nested_class_duplicate(self): Tests that adding the same nested class twice will not dupe.

<|skeleton|>
class TestJavaClass:
    """Unit tests for dependency_analysis.class_dependency.JavaClass."""

    def test_initialization(self):
        """Tests that JavaClass is initialized correctly."""
        <|body_0|>

    def test_equality(self):
        """Tests that two JavaClasses with the same package+class are equal."""
        <|body_1|>

    def test_add_nested_class(self):
        """Tests adding a single nested class to this class."""
        <|body_2|>

    def test_add_nested_class_multiple(self):
        """Tests adding multiple nested classes to this class."""
        <|body_3|>

    def test_add_nested_class_duplicate(self):
        """Tests that adding the same nested class twice will not dupe."""
        <|body_4|>

<|end_skeleton|>

<|body_start_0|>
        test_node = class_dependency.JavaClass(self.TEST_PKG, self.TEST_CLS)
        self.assertEqual(test_node.name, f'{self.TEST_PKG}.{self.TEST_CLS}')
        self.assertEqual(test_node.package, self.TEST_PKG)
        self.assertEqual(test_node.class_name, self.TEST_CLS)
<|end_body_0|>

<|body_start_1|>
        test_node = class_dependency.JavaClass(self.TEST_PKG, self.TEST_CLS)
        equal_node = class_dependency.JavaClass(self.TEST_PKG, self.TEST_CLS)
        self.assertEqual(test_node, equal_node)
<|end_body_1|>

<|body_start_2|>
        test_node = class_dependency.JavaClass(self.TEST_PKG, self.TEST_CLS)
        test_node.add_nested_class(self.UNIQUE_KEY_1)
        self.assertEqual(test_node.nested_classes, {self.UNIQUE_KEY_1})
<|end_body_2|>

<|body_start_3|>
        test_node = class_dependency.JavaClass(self.TEST_PKG, self.TEST_CLS)
        test_node.add_nested_class(self.UNIQUE_KEY_1)
        test_node.add_nested_class(self.UNIQUE_KEY_2)
        self.assertEqual(test_node.nested_classes, {self.UNIQUE_KEY_1, self.UNIQUE_KEY_2})
<|end_body_3|>

<|body_start_4|>
        test_node = class_dependency.JavaClass(self.TEST_PKG, self.TEST_CLS)
        test_node.add_nested_class(self.UNIQUE_KEY_1)
        test_node.add_nested_class(self.UNIQUE_KEY_1)
        self.assertEqual(test_node.nested_classes, {self.UNIQUE_KEY_1})
<|end_body_4|>

Solution:
class TestJavaClass:
    """Unit tests for dependency_analysis.class_dependency.JavaClass."""

    def test_initialization(self):
        """Tests that JavaClass is initialized correctly."""
        test_node = class_dependency.JavaClass(self.TEST_PKG, self.TEST_CLS)
        self.assertEqual(test_node.name, f'{self.TEST_PKG}.{self.TEST_CLS}')
        self.assertEqual(test_node.package, self.TEST_PKG)
        self.assertEqual(test_node.class_name, self.TEST_CLS)

    def test_equality(self):
        """Tests that two JavaClasses with the same package+class are equal."""
        test_node = class_dependency.JavaClass(self.TEST_PKG, self.TEST_CLS)
        equal_node = class_dependency.JavaClass(self.TEST_PKG, self.TEST_CLS)
        self.assertEqual(test_node, equal_node)

    def test_add_nested_class(self):
        """Tests adding a single nested class to this class."""
        test_node = class_dependency.JavaClass(self.TEST_PKG, self.TEST_CLS)
        test_node.add_nested_class(self.UNIQUE_KEY_1)
        self.assertEqual(test_node.nested_classes, {self.UNIQUE_KEY_1})

    def test_add_nested_class_multiple(self):
        """Tests adding multiple nested classes to this class."""
        test_node = class_dependency.JavaClass(self.TEST_PKG, self.TEST_CLS)
        test_node.add_nested_class(self.UNIQUE_KEY_1)
        test_node.add_nested_class(self.UNIQUE_KEY_2)
        self.assertEqual(test_node.nested_classes, {self.UNIQUE_KEY_1, self.UNIQUE_KEY_2})

    def test_add_nested_class_duplicate(self):
        """Tests that adding the same nested class twice will not dupe."""
        test_node = class_dependency.JavaClass(self.TEST_PKG, self.TEST_CLS)
        test_node.add_nested_class(self.UNIQUE_KEY_1)
        test_node.add_nested_class(self.UNIQUE_KEY_1)
        self.assertEqual(test_node.nested_classes, {self.UNIQUE_KEY_1})


evaluate

Prompt:
Implement the Python class `LogParabola1D` described below.

Class description:
One dimensional log parabola model (sometimes called curved power law). Parameters ---------- amplitude : float Model amplitude x_0 : float Reference point alpha : float Power law index beta : float Power law curvature See Also -------- PowerLaw1D, BrokenPowerLaw1D, ExponentialCutoffPowerLaw1D Notes ----- Model formula (with :math:`A` for ``amplitude`` and :math:`\\alpha` for ``alpha`` and :math:`\\beta` for ``beta``): .. math:: f(x) = A \\left(\\frac{x}{x_{0}}\\right)^{- \\alpha - \\beta \\log{\\left (\\frac{x}{x_{0}} \\right )}}

Method signatures and docstrings:
- def evaluate(x, amplitude, x_0, alpha, beta): One dimensional log parabola model function
- def fit_deriv(x, amplitude, x_0, alpha, beta): One dimensional log parabola derivative with respect to parameters

Implement the Python class `LogParabola1D` described below.

Class description:
One dimensional log parabola model (sometimes called curved power law). Parameters ---------- amplitude : float Model amplitude x_0 : float Reference point alpha : float Power law index beta : float Power law curvature See Also -------- PowerLaw1D, BrokenPowerLaw1D, ExponentialCutoffPowerLaw1D Notes ----- Model formula (with :math:`A` for ``amplitude`` and :math:`\\alpha` for ``alpha`` and :math:`\\beta` for ``beta``): .. math:: f(x) = A \\left(\\frac{x}{x_{0}}\\right)^{- \\alpha - \\beta \\log{\\left (\\frac{x}{x_{0}} \\right )}}

Method signatures and docstrings:
- def evaluate(x, amplitude, x_0, alpha, beta): One dimensional log parabola model function
- def fit_deriv(x, amplitude, x_0, alpha, beta): One dimensional log parabola derivative with respect to parameters

<|skeleton|>
class LogParabola1D:
    """One dimensional log parabola model (sometimes called curved power law). Parameters ---------- amplitude : float Model amplitude x_0 : float Reference point alpha : float Power law index beta : float Power law curvature See Also -------- PowerLaw1D, BrokenPowerLaw1D, ExponentialCutoffPowerLaw1D Notes ----- Model formula (with :math:`A` for ``amplitude`` and :math:`\\alpha` for ``alpha`` and :math:`\\beta` for ``beta``): .. math:: f(x) = A \\left(\\frac{x}{x_{0}}\\right)^{- \\alpha - \\beta \\log{\\left (\\frac{x}{x_{0}} \\right )}}"""

    def evaluate(x, amplitude, x_0, alpha, beta):
        """One dimensional log parabola model function"""
        <|body_0|>

    def fit_deriv(x, amplitude, x_0, alpha, beta):
        """One dimensional log parabola derivative with respect to parameters"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        xx = x / x_0
        exponent = -alpha - beta * np.log(xx)
        return amplitude * xx ** exponent
<|end_body_0|>

<|body_start_1|>
        xx = x / x_0
        log_xx = np.log(xx)
        exponent = -alpha - beta * log_xx
        d_amplitude = xx ** exponent
        d_beta = -amplitude * d_amplitude * log_xx ** 2
        d_x_0 = amplitude * d_amplitude * (beta * log_xx / x_0 - exponent / x_0)
        d_alpha = -amplitude * d_amplitude * log_xx
        return [d_amplitude, d_x_0, d_alpha, d_beta]
<|end_body_1|>

Solution:
class LogParabola1D:
    """One dimensional log parabola model (sometimes called curved power law). Parameters ---------- amplitude : float Model amplitude x_0 : float Reference point alpha : float Power law index beta : float Power law curvature See Also -------- PowerLaw1D, BrokenPowerLaw1D, ExponentialCutoffPowerLaw1D Notes ----- Model formula (with :math:`A` for ``amplitude`` and :math:`\\alpha` for ``alpha`` and :math:`\\beta` for ``beta``): .. math:: f(x) = A \\left(\\frac{x}{x_{0}}\\right)^{- \\alpha - \\beta \\log{\\left (\\frac{x}{x_{0}} \\right )}}"""

    def evaluate(x, amplitude, x_0, alpha, beta):
        """One dimensional log parabola model function"""
        xx = x / x_0
        exponent = -alpha - beta * np.log(xx)
        return amplitude * xx ** exponent

    def fit_deriv(x, amplitude, x_0, alpha, beta):
        """One dimensional log parabola derivative with respect to parameters"""
        xx = x / x_0
        log_xx = np.log(xx)
        exponent = -alpha - beta * log_xx
        d_amplitude = xx ** exponent
        d_beta = -amplitude * d_amplitude * log_xx ** 2
        d_x_0 = amplitude * d_amplitude * (beta * log_xx / x_0 - exponent / x_0)
        d_alpha = -amplitude * d_amplitude * log_xx
        return [d_amplitude, d_x_0, d_alpha, d_beta]


execute

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

Class description:
Implement the DirCopyAction class.

Method signatures and docstrings:
- def verify_can_exec(self, filesys): Check to ensure that execution can proceed without errors. Ensures that the the target directory is writable.
- def execute(self, filesys): Copy a directory tree from one location to another.

Implement the Python class `DirCopyAction` described below.

Class description:
Implement the DirCopyAction class.

Method signatures and docstrings:
- def verify_can_exec(self, filesys): Check to ensure that execution can proceed without errors. Ensures that the the target directory is writable.
- def execute(self, filesys): Copy a directory tree from one location to another.

<|skeleton|>
class DirCopyAction:

    def verify_can_exec(self, filesys):
        """Check to ensure that execution can proceed without errors. Ensures that the the target directory is writable."""
        <|body_0|>

    def execute(self, filesys):
        """Copy a directory tree from one location to another."""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        ExecutionContext().transition(ExecutionContext.phases.VERIFICATION)
        logstr = 'DirCopy: Checking source is readable + traversable, ' + '{0}'.format(self.dst)
        logger.info('{0}: {1}'.format(self.file_context, logstr))
        if not filesys.access(self.src, access_codes.R_OK | access_codes.X_OK):
            return self.verification_codes.UNREADABLE_SOURCE
        logger.info('{0}: DirCopy: Checking target is writeable, "{1}"'.format(self.file_context, self.dst))
        if not filesys.access(paths.dirname(self.dst), access_codes.W_OK):
            return self.verification_codes.UNWRITABLE_TARGET
        return self.verification_codes.OK
<|end_body_0|>

<|body_start_1|>
        vcode = self.verify_can_exec(filesys)
        if vcode == self.verification_codes.UNREADABLE_SOURCE:
            logstr = 'DirCopy: Non-Readable source directory "%s"' % self.src
            logger.warn('{0}: {1}'.format(self.file_context, logstr))
            return
        if vcode == self.verification_codes.UNWRITABLE_TARGET:
            logstr = 'DirCopy: Non-Writable target directory "%s"' % self.dst
            logger.warn('{0}: {1}'.format(self.file_context, logstr))
            return
        ExecutionContext().transition(ExecutionContext.phases.EXECUTION)
        logstr = 'Performing Directory Copy "%s" -> "%s"' % (self.src, self.dst)
        logger.info('{0}: {1}'.format(self.file_context, logstr))
        filesys.copy(self.src, self.dst)
<|end_body_1|>

Solution:
class DirCopyAction:
    def verify_can_exec(self, filesys):
        """Check to ensure that execution can proceed without errors. Ensures that the the target directory is writable."""
        ExecutionContext().transition(ExecutionContext.phases.VERIFICATION)
        logstr = 'DirCopy: Checking source is readable + traversable, ' + '{0}'.format(self.dst)
        logger.info('{0}: {1}'.format(self.file_context, logstr))
        if not filesys.access(self.src, access_codes.R_OK | access_codes.X_OK):
            return self.verification_codes.UNREADABLE_SOURCE
        logger.info('{0}: DirCopy: Checking target is writeable, "{1}"'.format(self.file_context, self.dst))
        if not filesys.access(paths.dirname(self.dst), access_codes.W_OK):
            return self.verification_codes.UNWRITABLE_TARGET
        return self.verification_codes.OK

    def execute(self, filesys):
        """Copy a directory tree from one location to another."""
        vcode = self.verify_can_exec(filesys)
        if vcode == self.verification_codes.UNREADABLE_SOURCE:
            logstr = 'DirCopy: Non-Readable source directory "%s"' % self.src
            logger.warn('{0}: {1}'.format(self.file_context, logstr))
            return
        if vcode == self.verification_codes.UNWRITABLE_TARGET:
            logstr = 'DirCopy: Non-Writable target directory "%s"' % self.dst
            logger.warn('{0}: {1}'.format(self.file_context, logstr))
            return
        ExecutionContext().transition(ExecutionContext.phases.EXECUTION)
        logstr = 'Performing Directory Copy "%s" -> "%s"' % (self.src, self.dst)
        logger.info('{0}: {1}'.format(self.file_context, logstr))
        filesys.copy(self.src, self.dst)


list

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

Class description:
Implement the DriverDeployable class.

Method signatures and docstrings:
- def create(self, context, device_id, cpid_id): Create a driver-side Deployable object into DB. This object will be stored in separate db tables: deployable & attach_handle & attribute table.
- def destroy(self, context, device_id): delete one driver-side deployable by calling existing Deployable and AttachHandle Object. Use name&host to identify Deployable and attach_info to identify the AttachHandle
- def list(cls, context, device_id): Form driver-side Deployable object list from DB for one device.
- def get_by_name(cls, context, name): Form driver-side Deployable object list from DB for one device.

Implement the Python class `DriverDeployable` described below.

Class description:
Implement the DriverDeployable class.

Method signatures and docstrings:
- def create(self, context, device_id, cpid_id): Create a driver-side Deployable object into DB. This object will be stored in separate db tables: deployable & attach_handle & attribute table.
- def destroy(self, context, device_id): delete one driver-side deployable by calling existing Deployable and AttachHandle Object. Use name&host to identify Deployable and attach_info to identify the AttachHandle
- def list(cls, context, device_id): Form driver-side Deployable object list from DB for one device.
- def get_by_name(cls, context, name): Form driver-side Deployable object list from DB for one device.

<|skeleton|>
class DriverDeployable:

    def create(self, context, device_id, cpid_id):
        """Create a driver-side Deployable object into DB. This object will be stored in separate db tables: deployable & attach_handle & attribute table."""
        <|body_0|>

    def destroy(self, context, device_id):
        """delete one driver-side deployable by calling existing Deployable and AttachHandle Object. Use name&host to identify Deployable and attach_info to identify the AttachHandle"""
        <|body_1|>

    def list(cls, context, device_id):
        """Form driver-side Deployable object list from DB for one device."""
        <|body_2|>

    def get_by_name(cls, context, name):
        """Form driver-side Deployable object list from DB for one device."""
        <|body_3|>

<|end_skeleton|>

<|body_start_0|>
        deployable_obj = Deployable(context=context, name=self.name, num_accelerators=self.num_accelerators, device_id=device_id, driver_name=self.driver_name)
        deployable_obj.create(context)
        if hasattr(self, 'attribute_list'):
            for driver_attr in self.attribute_list:
                driver_attr.create(context, deployable_obj.id)
        if hasattr(self, 'attach_handle_list'):
            for driver_attach_handle in self.attach_handle_list:
                driver_attach_handle.create(context, deployable_obj.id, cpid_id)
<|end_body_0|>

<|body_start_1|>
        dep_obj = Deployable.get_by_name_deviceid(context, self.name, device_id)
        if hasattr(self, 'attach_handle_list'):
            for driver_ah_obj in self.attach_handle_list:
                driver_ah_obj.destroy(context, dep_obj.id)
        if hasattr(self, 'attribute_list'):
            DriverAttribute.destroy(context, dep_obj.id)
        if dep_obj is not None:
            dep_obj.destroy(context)
<|end_body_1|>

<|body_start_2|>
        dep_obj_list = Deployable.get_list_by_device_id(context, device_id)
        driver_dep_obj_list = []
        for dep_obj in dep_obj_list:
            driver_ah_obj_list = DriverAttachHandle.list(context, dep_obj.id)
            driver_attr_obj_list = DriverAttribute.list(context, dep_obj.id)
            driver_dep_obj = cls(context=context, name=dep_obj.name, num_accelerators=dep_obj.num_accelerators, attribute_list=driver_attr_obj_list, attach_handle_list=driver_ah_obj_list)
            driver_dep_obj_list.append(driver_dep_obj)
        return driver_dep_obj_list
<|end_body_2|>

<|body_start_3|>
        dep_obj = Deployable.get_by_name(context, name)
        driver_ah_obj_list = DriverAttachHandle.list(context, dep_obj.id)
        driver_attr_obj_list = DriverAttribute.list(context, dep_obj.id)
        driver_dep_obj = cls(context=context, name=dep_obj.name, num_accelerators=dep_obj.num_accelerators, attribute_list=driver_attr_obj_list, attach_handle_list=driver_ah_obj_list)
        return driver_dep_obj
<|end_body_3|>

Solution:
class DriverDeployable:
    def create(self, context, device_id, cpid_id):
        """Create a driver-side Deployable object into DB. This object will be stored in separate db tables: deployable & attach_handle & attribute table."""
        deployable_obj = Deployable(context=context, name=self.name, num_accelerators=self.num_accelerators, device_id=device_id, driver_name=self.driver_name)
        deployable_obj.create(context)
        if hasattr(self, 'attribute_list'):
            for driver_attr in self.attribute_list:
                driver_attr.create(context, deployable_obj.id)
        if hasattr(self, 'attach_handle_list'):
            for driver_attach_handle in self.attach_handle_list:
                driver_attach_handle.create(context, deployable_obj.id, cpid_id)

    def destroy(self, context, device_id):
        """delete one driver-side deployable by calling existing Deployable and AttachHandle Object. Use name&host to identify Deployable and attach_info to identify the AttachHandle"""
        dep_obj = Deployable.get_by_name_deviceid(context, self.name, device_id)
        if hasattr(self, 'attach_handle_list'):
            for driver_ah_obj in self.attach_handle_list:
                driver_ah_obj.destroy(context, dep_obj.id)
        if hasattr(self, 'attribute_list'):
            DriverAttribute.destroy(context, dep_obj.id)
        if dep_obj is not None:
            dep_obj.destroy(context)

    def list(cls, context, device_id):
        """Form driver-side Deployable object list from DB for one device."""
        dep_obj_list = Deployable.get_list_by_device_id(context, device_id)
        driver_dep_obj_list = []
        for dep_obj in dep_obj_list:
            driver_ah_obj_list = DriverAttachHandle.list(context, dep_obj.id)
            driver_attr_obj_list = DriverAttribute.list(context, dep_obj.id)
            driver_dep_obj = cls(context=context, name=dep_obj.name, num_accelerators=dep_obj.num_accelerators, attribute_list=driver_attr_obj_list, attach_handle_list=driver_ah_obj_list)
            driver_dep_obj_list.append(driver_dep_obj)
        return driver_dep_obj_list

    def get_by_name(cls, context, name):
        """Form driver-side Deployable object list from DB for one device."""
        dep_obj = Deployable.get_by_name(context, name)
        driver_ah_obj_list = DriverAttachHandle.list(context, dep_obj.id)
        driver_attr_obj_list = DriverAttribute.list(context, dep_obj.id)
        driver_dep_obj = cls(context=context, name=dep_obj.name, num_accelerators=dep_obj.num_accelerators, attribute_list=driver_attr_obj_list, attach_handle_list=driver_ah_obj_list)
        return driver_dep_obj


stem

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

Class description:
Class to aid the stemming process - from word to stemmed form, and vice versa. The 'original' form of a stemmed word will be returned as the form in which its been used the most number of times in the text.

Method signatures and docstrings:
- def stem(cls, word): Stems a word and updates the reverse lookup.
- def original_form(cls, word): Returns original form of a word given the stemmed version, as stored in the word lookup.

Implement the Python class `StemmingHelper` described below.

Class description:
Class to aid the stemming process - from word to stemmed form, and vice versa. The 'original' form of a stemmed word will be returned as the form in which its been used the most number of times in the text.

Method signatures and docstrings:
- def stem(cls, word): Stems a word and updates the reverse lookup.
- def original_form(cls, word): Returns original form of a word given the stemmed version, as stored in the word lookup.

<|skeleton|>
class StemmingHelper:
    """Class to aid the stemming process - from word to stemmed form, and vice versa. The 'original' form of a stemmed word will be returned as the form in which its been used the most number of times in the text."""

    def stem(cls, word):
        """Stems a word and updates the reverse lookup."""
        <|body_0|>

    def original_form(cls, word):
        """Returns original form of a word given the stemmed version, as stored in the word lookup."""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        stemmed = global_stemmer.stem(word)
        if stemmed not in cls.word_lookup:
            cls.word_lookup[stemmed] = {}
        cls.word_lookup[stemmed][word] = cls.word_lookup[stemmed].get(word, 0) + 1
        return stemmed
<|end_body_0|>

<|body_start_1|>
        if word in cls.word_lookup:
            return max(cls.word_lookup[word].keys(), key=lambda x: cls.word_lookup[word][x])
        else:
            return word
<|end_body_1|>

Solution:
class StemmingHelper:
    """Class to aid the stemming process - from word to stemmed form, and vice versa. The 'original' form of a stemmed word will be returned as the form in which its been used the most number of times in the text."""

    def stem(cls, word):
        """Stems a word and updates the reverse lookup."""
        stemmed = global_stemmer.stem(word)
        if stemmed not in cls.word_lookup:
            cls.word_lookup[stemmed] = {}
        cls.word_lookup[stemmed][word] = cls.word_lookup[stemmed].get(word, 0) + 1
        return stemmed

    def original_form(cls, word):
        """Returns original form of a word given the stemmed version, as stored in the word lookup."""
        if word in cls.word_lookup:
            return max(cls.word_lookup[word].keys(), key=lambda x: cls.word_lookup[word][x])
        else:
            return word


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: Node :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype: Node

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: Node :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype: Node

<|skeleton|>
class Codec:

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

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

<|end_skeleton|>

<|body_start_0|>
        if root is None:
            return []
        queue = deque([root])
        ans = []
        ans.append(['#', root.val])
        while queue:
            node = queue.popleft()
            child_list = []
            for child in node.children:
                child_list.append(child.val)
                queue.append(child)
            ans.append([node.val, child_list])
        return ans
<|end_body_0|>

<|body_start_1|>
        if len(data) == 0:
            return None
        root_val = data.pop(0)[1]
        root_node = Node(root_val, [])
        queue = deque([root_node])
        while queue:
            node = queue.popleft()
            for child in data.pop(0)[1]:
                child_node = Node(child, [])
                node.children.append(child_node)
                queue.append(child_node)
        return root_node
<|end_body_1|>

Solution:
class Codec:
    def serialize(self, root):
        """Encodes a tree to a single string. :type root: Node :rtype: str"""
        if root is None:
            return []
        queue = deque([root])
        ans = []
        ans.append(['#', root.val])
        while queue:
            node = queue.popleft()
            child_list = []
            for child in node.children:
                child_list.append(child.val)
                queue.append(child)
            ans.append([node.val, child_list])
        return ans

    def deserialize(self, data):
        """Decodes your encoded data to tree. :type data: str :rtype: Node"""
        if len(data) == 0:
            return None
        root_val = data.pop(0)[1]
        root_node = Node(root_val, [])
        queue = deque([root_node])
        while queue:
            node = queue.popleft()
            for child in data.pop(0)[1]:
                child_node = Node(child, [])
                node.children.append(child_node)
                queue.append(child_node)
        return root_node


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

Class description:
Implement the Solution class.

Method signatures and docstrings:
- def upsideDownBinaryTree(self, root): :type root: TreeNode :rtype: TreeNode
- def upsideDownBinaryTree_iterative(self, root): :type root: TreeNode :rtype: TreeNode

Implement the Python class `Solution` described below.

Class description:
Implement the Solution class.

Method signatures and docstrings:
- def upsideDownBinaryTree(self, root): :type root: TreeNode :rtype: TreeNode
- def upsideDownBinaryTree_iterative(self, root): :type root: TreeNode :rtype: TreeNode

<|skeleton|>
class Solution:

    def upsideDownBinaryTree(self, root):
        """:type root: TreeNode :rtype: TreeNode"""
        <|body_0|>

    def upsideDownBinaryTree_iterative(self, root):
        """:type root: TreeNode :rtype: TreeNode"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        if not root or not root.left:
            return root
        left, right = (root.left, root.right)
        new_root = self.upsideDownBinaryTree(left)
        left.left, left.right = (right, root)
        root.left, root.right = (None, None)
        return new_root
<|end_body_0|>

<|body_start_1|>
        p, parent, parent_right = (root, None, None)
        while p:
            left = p.left
            p.left = parent_right
            parent_right = p.right
            p.right = parent
            parent = p
            p = left
        return parent
<|end_body_1|>

Solution:
class Solution:
    def upsideDownBinaryTree(self, root):
        """:type root: TreeNode :rtype: TreeNode"""
        if not root or not root.left:
            return root
        left, right = (root.left, root.right)
        new_root = self.upsideDownBinaryTree(left)
        left.left, left.right = (right, root)
        root.left, root.right = (None, None)
        return new_root

    def upsideDownBinaryTree_iterative(self, root):
        """:type root: TreeNode :rtype: TreeNode"""
        p, parent, parent_right = (root, None, None)
        while p:
            left = p.left
            p.left = parent_right
            parent_right = p.right
            p.right = parent
            parent = p
            p = left
        return parent


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

Class description:
Issue type filter configuration

Method signatures and docstrings:
- def __init__(self, config_string=None): Parse the --issue-types command line argument to get the issue type filter configuration. Args: config_str (str): The filter configuration string. This is a comma-separated list of issue types to report. Alternatively the configuration string may be used to add or remove issues from the default filter. In this case issue types prefixed with '-' are removed by the filter. Issue types prefixed with '+' are included by the filter.
- def filter_issue_types(self, issue_types): Filters the given dictionary of issue types. This function is careful to preserve the order of issue types given on the command line if the user passed an explicit list. For example, if the user passed: --issue-types=PreprocessorIssue,ConfigGuessIssue on the command line, this function will return: [PreprocessorIssue, ConfigGuessIssue]. This is to allow the user direct control over the order of the column headings for the CSV output format. If no explicit list was passed (i.e. the user specified only non-default inclusions or exclusions prefixed by + or -) the function returns a list of issue type classes sorted in order of their display name.
- def include_issue_p(self, issue): Return whether this issue is wanted or not according to the issue type filter configuration.

Implement the Python class `IssueTypeConfig` described below.

Class description:
Issue type filter configuration

Method signatures and docstrings:
- def __init__(self, config_string=None): Parse the --issue-types command line argument to get the issue type filter configuration. Args: config_str (str): The filter configuration string. This is a comma-separated list of issue types to report. Alternatively the configuration string may be used to add or remove issues from the default filter. In this case issue types prefixed with '-' are removed by the filter. Issue types prefixed with '+' are included by the filter.
- def filter_issue_types(self, issue_types): Filters the given dictionary of issue types. This function is careful to preserve the order of issue types given on the command line if the user passed an explicit list. For example, if the user passed: --issue-types=PreprocessorIssue,ConfigGuessIssue on the command line, this function will return: [PreprocessorIssue, ConfigGuessIssue]. This is to allow the user direct control over the order of the column headings for the CSV output format. If no explicit list was passed (i.e. the user specified only non-default inclusions or exclusions prefixed by + or -) the function returns a list of issue type classes sorted in order of their display name.
- def include_issue_p(self, issue): Return whether this issue is wanted or not according to the issue type filter configuration.

<|skeleton|>
class IssueTypeConfig:
    """Issue type filter configuration"""

    def __init__(self, config_string=None):
        """Parse the --issue-types command line argument to get the issue type filter configuration. Args: config_str (str): The filter configuration string. This is a comma-separated list of issue types to report. Alternatively the configuration string may be used to add or remove issues from the default filter. In this case issue types prefixed with '-' are removed by the filter. Issue types prefixed with '+' are included by the filter."""
        <|body_0|>

    def filter_issue_types(self, issue_types):
        """Filters the given dictionary of issue types. This function is careful to preserve the order of issue types given on the command line if the user passed an explicit list. For example, if the user passed: --issue-types=PreprocessorIssue,ConfigGuessIssue on the command line, this function will return: [PreprocessorIssue, ConfigGuessIssue]. This is to allow the user direct control over the order of the column headings for the CSV output format. If no explicit list was passed (i.e. the user specified only non-default inclusions or exclusions prefixed by + or -) the function returns a list of issue type classes sorted in order of their display name."""
        <|body_1|>

    def include_issue_p(self, issue):
        """Return whether this issue is wanted or not according to the issue type filter configuration."""
        <|body_2|>

<|end_skeleton|>

<|body_start_0|>
        if config_string and (not config_string.startswith('+')) and (not config_string.startswith('-')):
            self._include_by_default = False
        elif config_string:
            config_string = IssueTypeConfig.DEFAULT_FILTER + ',' + config_string
            self._include_by_default = True
        else:
            config_string = IssueTypeConfig.DEFAULT_FILTER
            self._include_by_default = True
        self.config_string = config_string
        issue_types = config_string.split(',')
        self.klasses = []
        for issue_type in issue_types:
            if not issue_type:
                continue
            if issue_type.startswith('-'):
                want_this_issue_type = False
                issue_type = issue_type[1:]
            elif issue_type.startswith('+'):
                want_this_issue_type = True
                issue_type = issue_type[1:]
            else:
                want_this_issue_type = True
            try:
                klass = ISSUE_TYPES[issue_type]
                self.klasses.append((klass, want_this_issue_type))
            except KeyError:
                print('Issue type filter: unknown issue type: %s' % issue_type, file=sys.stderr)
<|end_body_0|>

<|body_start_1|>
        sorted_issue_types = [cls for _, cls in sorted(issue_types.items(), key=itemgetter(0))]
        if not self._include_by_default:
            source_list = []
            for cls, _ in self.klasses:
                for issue_type in sorted_issue_types:
                    if (issue_type == cls or issubclass(issue_type, cls)) and (not issue_type in source_list):
                        source_list.append(issue_type)
        else:
            source_list = sorted_issue_types
        ret = []
        for klass_a in source_list:
            want_this_class = self._include_by_default
            for klass_b, want_this_issue_type in self.klasses:
                if klass_a == klass_b or issubclass(klass_a, klass_b):
                    want_this_class = want_this_issue_type
            if want_this_class:
                ret.append(klass_a)
        return ret
<|end_body_1|>

<|body_start_2|>
        want_this_issue = self._include_by_default
        for klass, want_this_issue_type in self.klasses:
            if isinstance(issue, klass):
                want_this_issue = want_this_issue_type
        return want_this_issue
<|end_body_2|>

Solution:
class IssueTypeConfig:
    """Issue type filter configuration"""

    def __init__(self, config_string=None):
        """Parse the --issue-types command line argument to get the issue type filter configuration. Args: config_str (str): The filter configuration string. This is a comma-separated list of issue types to report. Alternatively the configuration string may be used to add or remove issues from the default filter. In this case issue types prefixed with '-' are removed by the filter. Issue types prefixed with '+' are included by the filter."""
        if config_string and (not config_string.startswith('+')) and (not config_string.startswith('-')):
            self._include_by_default = False
        elif config_string:
            config_string = IssueTypeConfig.DEFAULT_FILTER + ',' + config_string
            self._include_by_default = True
        else:
            config_string = IssueTypeConfig.DEFAULT_FILTER
            self._include_by_default = True
        self.config_string = config_string
        issue_types = config_string.split(',')
        self.klasses = []
        for issue_type in issue_types:
            if not issue_type:
                continue
            if issue_type.startswith('-'):
                want_this_issue_type = False
                issue_type = issue_type[1:]
            elif issue_type.startswith('+'):
                want_this_issue_type = True
                issue_type = issue_type[1:]
            else:
                want_this_issue_type = True
            try:
                klass = ISSUE_TYPES[issue_type]
                self.klasses.append((klass, want_this_issue_type))
            except KeyError:
                print('Issue type filter: unknown issue type: %s' % issue_type, file=sys.stderr)

    def filter_issue_types(self, issue_types):
        """Filters the given dictionary of issue types. This function is careful to preserve the order of issue types given on the command line if the user passed an explicit list. For example, if the user passed: --issue-types=PreprocessorIssue,ConfigGuessIssue on the command line, this function will return: [PreprocessorIssue, ConfigGuessIssue]. This is to allow the user direct control over the order of the column headings for the CSV output format. If no explicit list was passed (i.e. the user specified only non-default inclusions or exclusions prefixed by + or -) the function returns a list of issue type classes sorted in order of their display name."""
        sorted_issue_types = [cls for _, cls in sorted(issue_types.items(), key=itemgetter(0))]
        if not self._include_by_default:
            source_list = []
            for cls, _ in self.klasses:
                for issue_type in sorted_issue_types:
                    if (issue_type == cls or issubclass(issue_type, cls)) and (not issue_type in source_list):
                        source_list.append(issue_type)
        else:
            source_list = sorted_issue_types
        ret = []
        for klass_a in source_list:
            want_this_class = self._include_by_default
            for klass_b, want_this_issue_type in self.klasses:
                if klass_a == klass_b or issubclass(klass_a, klass_b):
                    want_this_class = want_this_issue_type
            if want_this_class:
                ret.append(klass_a)
        return ret

    def include_issue_p(self, issue):
        """Return whether this issue is wanted or not according to the issue type filter configuration."""
        want_this_issue = self._include_by_default
        for klass, want_this_issue_type in self.klasses:
            if isinstance(issue, klass):
                want_this_issue = want_this_issue_type
        return want_this_issue


validate

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

Class description:
Implement the FlowClassifier class.

Method signatures and docstrings:
- def is_classification_local(self): Should the flow classifier classification flows be installed locally For classification on source lport, we match using reg6, which is available only after classification app sets it, so there is no use installing it on other hosts. For classification on dest lport, we match using reg7. reg7 is set on all hosts during the time packet passes through L2 app. We can classify the packet right away on any of the hosts and forward it to the first SF, saving 2 hops of going to dest node then to the first SF.
- def is_dispatch_local(self): Should the flow classifier dispatch flows be installed locally. For classification on source lport, we match using reg6, so we can dispatch the packet anywhere, and it will be forwarded. No loop will be created because no app will set reg6 again. For classification on dest lport, we match using reg7, so we have to forward the packet all the way to the destination host, and mark it as 'already done SFC', so it won't get stuck in a loop. The has to be done on the destination host because the mark gets lost in transit.
- def validate(self): Make sure exactly one of {source_port, dest_port} is set

Implement the Python class `FlowClassifier` described below.

Class description:
Implement the FlowClassifier class.

Method signatures and docstrings:
- def is_classification_local(self): Should the flow classifier classification flows be installed locally For classification on source lport, we match using reg6, which is available only after classification app sets it, so there is no use installing it on other hosts. For classification on dest lport, we match using reg7. reg7 is set on all hosts during the time packet passes through L2 app. We can classify the packet right away on any of the hosts and forward it to the first SF, saving 2 hops of going to dest node then to the first SF.
- def is_dispatch_local(self): Should the flow classifier dispatch flows be installed locally. For classification on source lport, we match using reg6, so we can dispatch the packet anywhere, and it will be forwarded. No loop will be created because no app will set reg6 again. For classification on dest lport, we match using reg7, so we have to forward the packet all the way to the destination host, and mark it as 'already done SFC', so it won't get stuck in a loop. The has to be done on the destination host because the mark gets lost in transit.
- def validate(self): Make sure exactly one of {source_port, dest_port} is set

<|skeleton|>
class FlowClassifier:

    def is_classification_local(self):
        """Should the flow classifier classification flows be installed locally For classification on source lport, we match using reg6, which is available only after classification app sets it, so there is no use installing it on other hosts. For classification on dest lport, we match using reg7. reg7 is set on all hosts during the time packet passes through L2 app. We can classify the packet right away on any of the hosts and forward it to the first SF, saving 2 hops of going to dest node then to the first SF."""
        <|body_0|>

    def is_dispatch_local(self):
        """Should the flow classifier dispatch flows be installed locally. For classification on source lport, we match using reg6, so we can dispatch the packet anywhere, and it will be forwarded. No loop will be created because no app will set reg6 again. For classification on dest lport, we match using reg7, so we have to forward the packet all the way to the destination host, and mark it as 'already done SFC', so it won't get stuck in a loop. The has to be done on the destination host because the mark gets lost in transit."""
        <|body_1|>

    def validate(self):
        """Make sure exactly one of {source_port, dest_port} is set"""
        <|body_2|>

<|end_skeleton|>

<|body_start_0|>
        if self.source_port is not None:
            return self.source_port.is_local
        return True
<|end_body_0|>

<|body_start_1|>
        if self.dest_port is not None:
            return self.dest_port.is_local
        return True
<|end_body_1|>

<|body_start_2|>
        super(FlowClassifier, self).validate()
        if self.source_port is None and self.dest_port is None:
            raise errors.ValidationError('One of source_port or dest_port must be set')
        elif self.source_port is not None and self.dest_port is not None:
            raise errors.ValidationError('source_port and dest_port cannot be both set')
<|end_body_2|>

Solution:
class FlowClassifier:
    def is_classification_local(self):
        """Should the flow classifier classification flows be installed locally For classification on source lport, we match using reg6, which is available only after classification app sets it, so there is no use installing it on other hosts. For classification on dest lport, we match using reg7. reg7 is set on all hosts during the time packet passes through L2 app. We can classify the packet right away on any of the hosts and forward it to the first SF, saving 2 hops of going to dest node then to the first SF."""
        if self.source_port is not None:
            return self.source_port.is_local
        return True

    def is_dispatch_local(self):
        """Should the flow classifier dispatch flows be installed locally. For classification on source lport, we match using reg6, so we can dispatch the packet anywhere, and it will be forwarded. No loop will be created because no app will set reg6 again. For classification on dest lport, we match using reg7, so we have to forward the packet all the way to the destination host, and mark it as 'already done SFC', so it won't get stuck in a loop. The has to be done on the destination host because the mark gets lost in transit."""
        if self.dest_port is not None:
            return self.dest_port.is_local
        return True

    def validate(self):
        """Make sure exactly one of {source_port, dest_port} is set"""
        super(FlowClassifier, self).validate()
        if self.source_port is None and self.dest_port is None:
            raise errors.ValidationError('One of source_port or dest_port must be set')
        elif self.source_port is not None and self.dest_port is not None:
            raise errors.ValidationError('source_port and dest_port cannot be both set')


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

Class description:
Implement the Solution class.

Method signatures and docstrings:
- def minInsertions1(self, s: str) -> int: 思路：动态规划法 1. s翻转后s_，两者求最长公共子序列，剩余的则是要插入的 @param s: @return:
- def minInsertions2(self, s: str) -> int: 思路：区间dp @param s: @return:

Implement the Python class `Solution` described below.

Class description:
Implement the Solution class.

Method signatures and docstrings:
- def minInsertions1(self, s: str) -> int: 思路：动态规划法 1. s翻转后s_，两者求最长公共子序列，剩余的则是要插入的 @param s: @return:
- def minInsertions2(self, s: str) -> int: 思路：区间dp @param s: @return:

<|skeleton|>
class Solution:

    def minInsertions1(self, s: str) -> int:
        """思路：动态规划法 1. s翻转后s_，两者求最长公共子序列，剩余的则是要插入的 @param s: @return:"""
        <|body_0|>

    def minInsertions2(self, s: str) -> int:
        """思路：区间dp @param s: @return:"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        n = len(s)
        s_ = s[::-1]
        dp = [[0] * (n + 1) for _ in range(n + 1)]
        for i in range(n):
            for j in range(n):
                if s[i] == s_[j]:
                    dp[i + 1][j + 1] = dp[i][j] + 1
                else:
                    dp[i + 1][j + 1] = max(dp[i + 1][j], dp[i][j + 1])
        return n - dp[-1][-1]
<|end_body_0|>

<|body_start_1|>
        n = len(s)
        dp = [[0] * n for _ in range(n)]
        for span in range(2, n + 1):
            for l in range(n - span + 1):
                r = l + span - 1
                if s[l] == s[r]:
                    dp[l][r] = dp[l + 1][r - 1]
                else:
                    dp[l][r] = min(dp[l + 1][r], dp[l][r - 1]) + 1
        return dp[0][n - 1]
<|end_body_1|>

Solution:
class Solution:
    def minInsertions1(self, s: str) -> int:
        """思路：动态规划法 1. s翻转后s_，两者求最长公共子序列，剩余的则是要插入的 @param s: @return:"""
        n = len(s)
        s_ = s[::-1]
        dp = [[0] * (n + 1) for _ in range(n + 1)]
        for i in range(n):
            for j in range(n):
                if s[i] == s_[j]:
                    dp[i + 1][j + 1] = dp[i][j] + 1
                else:
                    dp[i + 1][j + 1] = max(dp[i + 1][j], dp[i][j + 1])
        return n - dp[-1][-1]

    def minInsertions2(self, s: str) -> int:
        """思路：区间dp @param s: @return:"""
        n = len(s)
        dp = [[0] * n for _ in range(n)]
        for span in range(2, n + 1):
            for l in range(n - span + 1):
                r = l + span - 1
                if s[l] == s[r]:
                    dp[l][r] = dp[l + 1][r - 1]
                else:
                    dp[l][r] = min(dp[l + 1][r], dp[l][r - 1]) + 1
        return dp[0][n - 1]

LeetCode/动态规划法(dp)/1312. 让字符串成为回文串的最少插入次数.py


version

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

Class description:
An API for the contents of /instances as structured data.

Method signatures and docstrings:
- def version(self): The app version that owns these instances.
- def raw_detail_dicts(self): Performance statistics specific to each instance. Returns: A list of dicts with (as of App Engine 1.7.2) fields like this: [{'instance_id': '01c61b117c08b2b562c94f26f43f9b04f6775180', 'qps': '1.183', 'latency': '208.5 ms', 'requests': 14628, 'errors': 5, 'age': '9:07:52', 'memory': '184.8 MBytes'}, ... ]

Implement the Python class `Instances` described below.

Class description:
An API for the contents of /instances as structured data.

Method signatures and docstrings:
- def version(self): The app version that owns these instances.
- def raw_detail_dicts(self): Performance statistics specific to each instance. Returns: A list of dicts with (as of App Engine 1.7.2) fields like this: [{'instance_id': '01c61b117c08b2b562c94f26f43f9b04f6775180', 'qps': '1.183', 'latency': '208.5 ms', 'requests': 14628, 'errors': 5, 'age': '9:07:52', 'memory': '184.8 MBytes'}, ... ]

<|skeleton|>
class Instances:
    """An API for the contents of /instances as structured data."""

    def version(self):
        """The app version that owns these instances."""
        <|body_0|>

    def raw_detail_dicts(self):
        """Performance statistics specific to each instance. Returns: A list of dicts with (as of App Engine 1.7.2) fields like this: [{'instance_id': '01c61b117c08b2b562c94f26f43f9b04f6775180', 'qps': '1.183', 'latency': '208.5 ms', 'requests': 14628, 'errors': 5, 'age': '9:07:52', 'memory': '184.8 MBytes'}, ... ]"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        selector = '#ae-appbar-version-id option[selected="selected"]'
        version_element, = self.doc.cssselect(selector)
        return version_element.text.strip()
<|end_body_0|>

<|body_start_1|>
        details = []
        selector = '#ae-instances-details-table tbody tr'
        for element in self.doc.cssselect(selector):
            children = list(element)
            assert len(children) == 9, [child.text for child in children]
            details.append({'instance_id': element.attrib['id'].strip(), 'qps': children[0].text.strip(), 'latency': children[1].text.strip(), 'requests': children[2].text.strip(), 'errors': children[3].text.strip(), 'age': children[4].text.strip(), 'memory': children[5].text.strip()})
        return details
<|end_body_1|>

Solution:
class Instances:
    """An API for the contents of /instances as structured data."""

    def version(self):
        """The app version that owns these instances."""
        selector = '#ae-appbar-version-id option[selected="selected"]'
        version_element, = self.doc.cssselect(selector)
        return version_element.text.strip()

    def raw_detail_dicts(self):
        """Performance statistics specific to each instance. Returns: A list of dicts with (as of App Engine 1.7.2) fields like this: [{'instance_id': '01c61b117c08b2b562c94f26f43f9b04f6775180', 'qps': '1.183', 'latency': '208.5 ms', 'requests': 14628, 'errors': 5, 'age': '9:07:52', 'memory': '184.8 MBytes'}, ... ]"""
        details = []
        selector = '#ae-instances-details-table tbody tr'
        for element in self.doc.cssselect(selector):
            children = list(element)
            assert len(children) == 9, [child.text for child in children]
            details.append({'instance_id': element.attrib['id'].strip(), 'qps': children[0].text.strip(), 'latency': children[1].text.strip(), 'requests': children[2].text.strip(), 'errors': children[3].text.strip(), 'age': children[4].text.strip(), 'memory': children[5].text.strip()})
        return details


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

Class description:
Implement the Solution class.

Method signatures and docstrings:
- def countPrimes(self, n): :type n: int :rtype: int
- def allPrimes(self, n): :type n: int :rtype: int

Implement the Python class `Solution` described below.

Class description:
Implement the Solution class.

Method signatures and docstrings:
- def countPrimes(self, n): :type n: int :rtype: int
- def allPrimes(self, n): :type n: int :rtype: int

<|skeleton|>
class Solution:

    def countPrimes(self, n):
        """:type n: int :rtype: int"""
        <|body_0|>

    def allPrimes(self, n):
        """:type n: int :rtype: int"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        if n < 3:
            return 0
        primes = [False] * n
        count = n / 2
        i = 3
        while i * i < n:
            if not primes[i]:
                j = i * i
                while j < n:
                    if not primes[j]:
                        count -= 1
                        primes[j] = True
                    j += 2 * i
            i += 2
        return count
<|end_body_0|>

<|body_start_1|>
        if n < 3:
            return 0
        if n == 3:
            return 1
        primes = [2]
        for i in xrange(3, n, 2):
            upper_bound = int(i ** 0.5)
            is_prime = True
            for prime in primes:
                if prime > upper_bound:
                    break
                if i % prime == 0:
                    is_prime = False
                    break
            if is_prime:
                primes.append(i)
        return primes
<|end_body_1|>

Solution:
class Solution:
    def countPrimes(self, n):
        """:type n: int :rtype: int"""
        if n < 3:
            return 0
        primes = [False] * n
        count = n / 2
        i = 3
        while i * i < n:
            if not primes[i]:
                j = i * i
                while j < n:
                    if not primes[j]:
                        count -= 1
                        primes[j] = True
                    j += 2 * i
            i += 2
        return count

    def allPrimes(self, n):
        """:type n: int :rtype: int"""
        if n < 3:
            return 0
        if n == 3:
            return 1
        primes = [2]
        for i in xrange(3, n, 2):
            upper_bound = int(i ** 0.5)
            is_prime = True
            for prime in primes:
                if prime > upper_bound:
                    break
                if i % prime == 0:
                    is_prime = False
                    break
            if is_prime:
                primes.append(i)
        return primes


get

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

Class description:
Resource for managing a org's subscription.

Method signatures and docstrings:
- def post(self, orgname): Create the org's subscription. Returns a Stripe checkout session.
- def put(self, orgname): Update the org's subscription.
- def get(self, orgname): Fetch any existing subscription for the org.

Implement the Python class `OrganizationPlan` described below.

Class description:
Resource for managing a org's subscription.

Method signatures and docstrings:
- def post(self, orgname): Create the org's subscription. Returns a Stripe checkout session.
- def put(self, orgname): Update the org's subscription.
- def get(self, orgname): Fetch any existing subscription for the org.

<|skeleton|>
class OrganizationPlan:
    """Resource for managing a org's subscription."""

    def post(self, orgname):
        """Create the org's subscription. Returns a Stripe checkout session."""
        <|body_0|>

    def put(self, orgname):
        """Update the org's subscription."""
        <|body_1|>

    def get(self, orgname):
        """Fetch any existing subscription for the org."""
        <|body_2|>

<|end_skeleton|>

<|body_start_0|>
        permission = AdministerOrganizationPermission(orgname)
        if permission.can():
            request_data = request.get_json()
            plan = request_data['plan']
            success_url = request_data.get('success_url')
            cancel_url = request_data.get('cancel_url')
            if not success_url or not cancel_url:
                raise InvalidRequest()
            organization = model.organization.get_organization(orgname)
            if not organization.stripe_id:
                try:
                    cus = billing.Customer.create(email=organization.email)
                    organization.stripe_id = cus.id
                    organization.save()
                except stripe.error.APIConnectionError as e:
                    return connection_response(e)
            try:
                price = get_price(plan, True)
                if not price:
                    abort(404, message='Plan not found')
                checkout_session = stripe.checkout.Session.create(line_items=[{'price': price['stripeId'], 'quantity': 1}], customer=organization.stripe_id, subscription_data={'metadata': {'kind': 'account_change_plan', 'namespace': organization.username, 'performer': get_authenticated_user().username, 'ip': get_request_ip(), 'plan': price['stripeId']}}, mode='subscription', success_url=success_url, cancel_url=cancel_url)
                return checkout_session
            except stripe.error.APIConnectionError as e:
                abort(503, message='Cannot contact Stripe')
            except Exception as e:
                abort(500, message=str(e))
        raise Unauthorized()
<|end_body_0|>

<|body_start_1|>
        permission = AdministerOrganizationPermission(orgname)
        if permission.can():
            request_data = request.get_json()
            plan = request_data['plan']
            organization = model.organization.get_organization(orgname)
            if not organization.stripe_id:
                raise InvalidRequest()
            price = get_price(plan, True)
            if not price:
                abort(404, message='Plan not found')
            return change_subscription(organization, price)
        raise Unauthorized()
<|end_body_1|>

<|body_start_2|>
        cus = None
        permission = AdministerOrganizationPermission(orgname)
        if permission.can():
            private_repos = model.user.get_private_repo_count(orgname)
            organization = model.organization.get_organization(orgname)
            if organization.stripe_id:
                try:
                    cus = billing.Customer.retrieve(organization.stripe_id)
                except stripe.error.APIConnectionError as e:
                    abort(503, message='Cannot contact Stripe')
                if cus.subscription:
                    return subscription_view(cus.subscription, private_repos)
            return {'hasSubscription': False, 'isExistingCustomer': cus is not None, 'plan': 'free', 'usedPrivateRepos': private_repos}
        raise Unauthorized()
<|end_body_2|>

Solution:
class OrganizationPlan:
    """Resource for managing a org's subscription."""

    def post(self, orgname):
        """Create the org's subscription. Returns a Stripe checkout session."""
        permission = AdministerOrganizationPermission(orgname)
        if permission.can():
            request_data = request.get_json()
            plan = request_data['plan']
            success_url = request_data.get('success_url')
            cancel_url = request_data.get('cancel_url')
            if not success_url or not cancel_url:
                raise InvalidRequest()
            organization = model.organization.get_organization(orgname)
            if not organization.stripe_id:
                try:
                    cus = billing.Customer.create(email=organization.email)
                    organization.stripe_id = cus.id
                    organization.save()
                except stripe.error.APIConnectionError as e:
                    return connection_response(e)
            try:
                price = get_price(plan, True)
                if not price:
                    abort(404, message='Plan not found')
                checkout_session = stripe.checkout.Session.create(line_items=[{'price': price['stripeId'], 'quantity': 1}], customer=organization.stripe_id, subscription_data={'metadata': {'kind': 'account_change_plan', 'namespace': organization.username, 'performer': get_authenticated_user().username, 'ip': get_request_ip(), 'plan': price['stripeId']}}, mode='subscription', success_url=success_url, cancel_url=cancel_url)
                return checkout_session
            except stripe.error.APIConnectionError as e:
                abort(503, message='Cannot contact Stripe')
            except Exception as e:
                abort(500, message=str(e))
        raise Unauthorized()

    def put(self, orgname):
        """Update the org's subscription."""
        permission = AdministerOrganizationPermission(orgname)
        if permission.can():
            request_data = request.get_json()
            plan = request_data['plan']
            organization = model.organization.get_organization(orgname)
            if not organization.stripe_id:
                raise InvalidRequest()
            price = get_price(plan, True)
            if not price:
                abort(404, message='Plan not found')
            return change_subscription(organization, price)
        raise Unauthorized()

    def get(self, orgname):
        """Fetch any existing subscription for the org."""
        cus = None
        permission = AdministerOrganizationPermission(orgname)
        if permission.can():
            private_repos = model.user.get_private_repo_count(orgname)
            organization = model.organization.get_organization(orgname)
            if organization.stripe_id:
                try:
                    cus = billing.Customer.retrieve(organization.stripe_id)
                except stripe.error.APIConnectionError as e:
                    abort(503, message='Cannot contact Stripe')
                if cus.subscription:
                    return subscription_view(cus.subscription, private_repos)
            return {'hasSubscription': False, 'isExistingCustomer': cus is not None, 'plan': 'free', 'usedPrivateRepos': private_repos}
        raise Unauthorized()


result

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

Class description:
This is where the problem is defined. Initial state, goal state and other information that can be got from the problem

Method signatures and docstrings:
- def __init__(self, initial, goal=None): This is the constructor for the Problem class. It specifies the initial state, and possibly a goal state, if there is a unique goal. You can add other arguments if the need arises
- def actions(self, state): Return the actions that can be executed in the given state. The result would typically be a list, but if there are many actions, consider yielding them one at a time in an iterator, rather than building them all at once.
- def result(self, state, action): Return the state that results from executing the given action in the given state. The action must be one of self.actions(state).
- def goal_test(self, state): Return True if the state is a goal. The default method compares the state to self.goal, as specified in the constructor. Override this method if checking against a single self.goal is not enough. This must be written by students

Implement the Python class `Problem` described below.

Class description:
This is where the problem is defined. Initial state, goal state and other information that can be got from the problem

Method signatures and docstrings:
- def __init__(self, initial, goal=None): This is the constructor for the Problem class. It specifies the initial state, and possibly a goal state, if there is a unique goal. You can add other arguments if the need arises
- def actions(self, state): Return the actions that can be executed in the given state. The result would typically be a list, but if there are many actions, consider yielding them one at a time in an iterator, rather than building them all at once.
- def result(self, state, action): Return the state that results from executing the given action in the given state. The action must be one of self.actions(state).
- def goal_test(self, state): Return True if the state is a goal. The default method compares the state to self.goal, as specified in the constructor. Override this method if checking against a single self.goal is not enough. This must be written by students

<|skeleton|>
class Problem:
    """This is where the problem is defined. Initial state, goal state and other information that can be got from the problem"""

    def __init__(self, initial, goal=None):
        """This is the constructor for the Problem class. It specifies the initial state, and possibly a goal state, if there is a unique goal. You can add other arguments if the need arises"""
        <|body_0|>

    def actions(self, state):
        """Return the actions that can be executed in the given state. The result would typically be a list, but if there are many actions, consider yielding them one at a time in an iterator, rather than building them all at once."""
        <|body_1|>

    def result(self, state, action):
        """Return the state that results from executing the given action in the given state. The action must be one of self.actions(state)."""
        <|body_2|>

    def goal_test(self, state):
        """Return True if the state is a goal. The default method compares the state to self.goal, as specified in the constructor. Override this method if checking against a single self.goal is not enough. This must be written by students"""
        <|body_3|>

<|end_skeleton|>

<|body_start_0|>
        self.initial = initial
        if goal is not None:
            self.goal = goal
        else:
            self.goal = sorted(self.initial[0], reverse=True)
        assert len(initial) == 3
        self.pegs = [i for i in range(0, len(initial))]
        self.sentinel = self.initial[0][0] + 1
        for peg in self.initial:
            peg.insert(0, self.sentinel)
        self.goal.insert(0, self.sentinel)
        self.nodesTouched = 0
        self.largestFrontier = 0
        self.visited = dict()
<|end_body_0|>

<|body_start_1|>
        def check(action):
            """Check to see if we'll end up in a loop by applying the action.
                    """
            result = [peg[:] for peg in state]
            value = result[action.src].pop()
            result[action.dest].append(value)
            if str(result) in self.visited:
                return False
            return True
        actions = []
        tops = [peg[-1] for peg in state]
        idxSmallest = tops.index(1)
        moveSmallTo = list(self.pegs)
        moveSmallTo.remove(idxSmallest)
        nextSmall = min(tops[moveSmallTo[0]], tops[moveSmallTo[1]])
        idxNextSmall = tops.index(nextSmall)
        for move in moveSmallTo:
            action = Action(idxSmallest, move, 1)
            if check(action):
                actions.append(action)
        if nextSmall is self.sentinel:
            return actions
        else:
            moveSmallTo.remove(idxNextSmall)
            assert len(moveSmallTo) == 1
            action = Action(idxNextSmall, moveSmallTo[0], nextSmall)
            if check(action):
                actions.append(action)
            return actions
<|end_body_1|>

<|body_start_2|>
        result = [peg[:] for peg in state]
        value = result[action.src].pop()
        assert value == action.value
        if value is self.sentinel:
            raise ValueError('Attempted to Move Sentinel Value')
        result[action.dest].append(value)
        return result
<|end_body_2|>

<|body_start_3|>
        if state[0][-1] != self.sentinel:
            return False
        if state[2] == self.goal:
            return True
        return False
<|end_body_3|>

Solution:
class Problem:
    """This is where the problem is defined. Initial state, goal state and other information that can be got from the problem"""

    def __init__(self, initial, goal=None):
        """This is the constructor for the Problem class. It specifies the initial state, and possibly a goal state, if there is a unique goal. You can add other arguments if the need arises"""
        self.initial = initial
        if goal is not None:
            self.goal = goal
        else:
            self.goal = sorted(self.initial[0], reverse=True)
        assert len(initial) == 3
        self.pegs = [i for i in range(0, len(initial))]
        self.sentinel = self.initial[0][0] + 1
        for peg in self.initial:
            peg.insert(0, self.sentinel)
        self.goal.insert(0, self.sentinel)
        self.nodesTouched = 0
        self.largestFrontier = 0
        self.visited = dict()

    def actions(self, state):
        """Return the actions that can be executed in the given state. The result would typically be a list, but if there are many actions, consider yielding them one at a time in an iterator, rather than building them all at once."""
        def check(action):
            """Check to see if we'll end up in a loop by applying the action.
                    """
            result = [peg[:] for peg in state]
            value = result[action.src].pop()
            result[action.dest].append(value)
            if str(result) in self.visited:
                return False
            return True
        actions = []
        tops = [peg[-1] for peg in state]
        idxSmallest = tops.index(1)
        moveSmallTo = list(self.pegs)
        moveSmallTo.remove(idxSmallest)
        nextSmall = min(tops[moveSmallTo[0]], tops[moveSmallTo[1]])
        idxNextSmall = tops.index(nextSmall)
        for move in moveSmallTo:
            action = Action(idxSmallest, move, 1)
            if check(action):
                actions.append(action)
        if nextSmall is self.sentinel:
            return actions
        else:
            moveSmallTo.remove(idxNextSmall)
            assert len(moveSmallTo) == 1
            action = Action(idxNextSmall, moveSmallTo[0], nextSmall)
            if check(action):
                actions.append(action)
            return actions

    def result(self, state, action):
        """Return the state that results from executing the given action in the given state. The action must be one of self.actions(state)."""
        result = [peg[:] for peg in state]
        value = result[action.src].pop()
        assert value == action.value
        if value is self.sentinel:
            raise ValueError('Attempted to Move Sentinel Value')
        result[action.dest].append(value)
        return result

    def goal_test(self, state):
        """Return True if the state is a goal. The default method compares the state to self.goal, as specified in the constructor. Override this method if checking against a single self.goal is not enough. This must be written by students"""
        if state[0][-1] != self.sentinel:
            return False
        if state[2] == self.goal:
            return True
        return False


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

Class description:
Implement the SamoaTests class.

Method signatures and docstrings:
- def test_connection_to_samoa_api(self): Tests whether a connection to samoa is successful.
- def test_17012_returns_systems_coffee(self): Tests whether the event with id 17012 returns the correct seminar.

Implement the Python class `SamoaTests` described below.

Class description:
Implement the SamoaTests class.

Method signatures and docstrings:
- def test_connection_to_samoa_api(self): Tests whether a connection to samoa is successful.
- def test_17012_returns_systems_coffee(self): Tests whether the event with id 17012 returns the correct seminar.

<|skeleton|>
class SamoaTests:

    def test_connection_to_samoa_api(self):
        """Tests whether a connection to samoa is successful."""
        <|body_0|>

    def test_17012_returns_systems_coffee(self):
        """Tests whether the event with id 17012 returns the correct seminar."""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        response = requests.get('https://samoa.dcs.gla.ac.uk/events/rest/Event/searchtext?search=')
        events = response.json()
        self.assertEqual(response.status_code, status.HTTP_200_OK)
        self.assertEqual(response.headers['Content-Type'], 'application/json')
        self.assertGreater(len(events), 1)
<|end_body_0|>

<|body_start_1|>
        response = requests.get('https://samoa.dcs.gla.ac.uk/events/rest/Event/17012')
        events = response.json()
        self.assertEqual(response.status_code, status.HTTP_200_OK)
        self.assertEqual(events['title'], 'SYSTEMS Coffee')
<|end_body_1|>

Solution:
class SamoaTests:
    def test_connection_to_samoa_api(self):
        """Tests whether a connection to samoa is successful."""
        response = requests.get('https://samoa.dcs.gla.ac.uk/events/rest/Event/searchtext?search=')
        events = response.json()
        self.assertEqual(response.status_code, status.HTTP_200_OK)
        self.assertEqual(response.headers['Content-Type'], 'application/json')
        self.assertGreater(len(events), 1)

    def test_17012_returns_systems_coffee(self):
        """Tests whether the event with id 17012 returns the correct seminar."""
        response = requests.get('https://samoa.dcs.gla.ac.uk/events/rest/Event/17012')
        events = response.json()
        self.assertEqual(response.status_code, status.HTTP_200_OK)
        self.assertEqual(events['title'], 'SYSTEMS Coffee')


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

Class description:
Tests the handling of recipes with multiple outputs.

Method signatures and docstrings:
- def test_without(self): Without the outputs attribute, the recipe is run twice, once for each target, thus two INFO messages are generated:
- def test_with(self): With the outputs attribute, the recipe is run only once:
- def test_with_2(self): Same, but using the out. prefix instead of the outputs attribute.
- def test_with_3(self): Same, mixing out. and outputs.

Implement the Python class `MultipleOutputsTest` described below.

Class description:
Tests the handling of recipes with multiple outputs.

Method signatures and docstrings:
- def test_without(self): Without the outputs attribute, the recipe is run twice, once for each target, thus two INFO messages are generated:
- def test_with(self): With the outputs attribute, the recipe is run only once:
- def test_with_2(self): Same, but using the out. prefix instead of the outputs attribute.
- def test_with_3(self): Same, mixing out. and outputs.

<|skeleton|>
class MultipleOutputsTest:
    """Tests the handling of recipes with multiple outputs."""

    def test_without(self):
        """Without the outputs attribute, the recipe is run twice, once for each target, thus two INFO messages are generated:"""
        <|body_0|>

    def test_with(self):
        """With the outputs attribute, the recipe is run only once:"""
        <|body_1|>

    def test_with_2(self):
        """Same, but using the out. prefix instead of the outputs attribute."""
        <|body_2|>

    def test_with_3(self):
        """Same, mixing out. and outputs."""
        <|body_3|>

<|end_skeleton|>

<|body_start_0|>
        self.assertDirectoryContents(['produce.ini', 'Makefile'])
        with self.assertLogs(logger='produce', level='INFO') as l:
            self.produce('a.txt', 'b.txt', **{'-j': '3'})
        self.assertEqual(len(l.output), 4)
        self.assertDirectoryContents(['produce.ini', 'Makefile', 'a.txt', 'b.txt'])
<|end_body_0|>

<|body_start_1|>
        self.assertDirectoryContents(['produce.ini', 'Makefile'])
        with self.assertLogs(logger='produce', level='INFO') as l:
            self.produce('c.txt', 'd.txt', **{'-j': '3'})
        self.assertEqual(len(l.output), 2)
        self.assertDirectoryContents(['produce.ini', 'Makefile', 'c.txt', 'd.txt'])
<|end_body_1|>

<|body_start_2|>
        self.assertDirectoryContents(['produce.ini', 'Makefile'])
        with self.assertLogs(logger='produce', level='INFO') as l:
            self.produce('e.txt', 'f.txt', **{'-j': '3'})
        self.assertEqual(len(l.output), 2)
        self.assertDirectoryContents(['produce.ini', 'Makefile', 'e.txt', 'f.txt'])
<|end_body_2|>

<|body_start_3|>
        self.assertDirectoryContents(['produce.ini', 'Makefile'])
        with self.assertLogs(logger='produce', level='INFO') as l:
            self.produce('g.txt', 'h.txt', 'i.txt', **{'-j': '3'})
        self.assertEqual(len(l.output), 2)
        self.assertDirectoryContents(['produce.ini', 'Makefile', 'g.txt', 'h.txt', 'i.txt'])
<|end_body_3|>

Solution:
class MultipleOutputsTest:
    """Tests the handling of recipes with multiple outputs."""

    def test_without(self):
        """Without the outputs attribute, the recipe is run twice, once for each target, thus two INFO messages are generated:"""
        self.assertDirectoryContents(['produce.ini', 'Makefile'])
        with self.assertLogs(logger='produce', level='INFO') as l:
            self.produce('a.txt', 'b.txt', **{'-j': '3'})
        self.assertEqual(len(l.output), 4)
        self.assertDirectoryContents(['produce.ini', 'Makefile', 'a.txt', 'b.txt'])

    def test_with(self):
        """With the outputs attribute, the recipe is run only once:"""
        self.assertDirectoryContents(['produce.ini', 'Makefile'])
        with self.assertLogs(logger='produce', level='INFO') as l:
            self.produce('c.txt', 'd.txt', **{'-j': '3'})
        self.assertEqual(len(l.output), 2)
        self.assertDirectoryContents(['produce.ini', 'Makefile', 'c.txt', 'd.txt'])

    def test_with_2(self):
        """Same, but using the out. prefix instead of the outputs attribute."""
        self.assertDirectoryContents(['produce.ini', 'Makefile'])
        with self.assertLogs(logger='produce', level='INFO') as l:
            self.produce('e.txt', 'f.txt', **{'-j': '3'})
        self.assertEqual(len(l.output), 2)
        self.assertDirectoryContents(['produce.ini', 'Makefile', 'e.txt', 'f.txt'])

    def test_with_3(self):
        """Same, mixing out. and outputs."""
        self.assertDirectoryContents(['produce.ini', 'Makefile'])
        with self.assertLogs(logger='produce', level='INFO') as l:
            self.produce('g.txt', 'h.txt', 'i.txt', **{'-j': '3'})
        self.assertEqual(len(l.output), 2)
        self.assertDirectoryContents(['produce.ini', 'Makefile', 'g.txt', 'h.txt', 'i.txt'])


forward

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

Class description:
HighWay Layer, i.e. a layer of highway network that takes the output of convolutional network as input

Method signatures and docstrings:
- def __init__(self, embedded_char_size): Init HighWay Instance. @param embedded_char_size: int
- def forward(self, x_conv_out): Run a forward step that map a batch of x_conv_out to x_high_way @param x_conv_out: tensor of (max_sentence_length * batch_size, embedded_char_size, max_word_length) @return x_highway: tensor of (max_sentence_length * batch_size, embedded_char_size)

Implement the Python class `Highway` described below.

Class description:
HighWay Layer, i.e. a layer of highway network that takes the output of convolutional network as input

Method signatures and docstrings:
- def __init__(self, embedded_char_size): Init HighWay Instance. @param embedded_char_size: int
- def forward(self, x_conv_out): Run a forward step that map a batch of x_conv_out to x_high_way @param x_conv_out: tensor of (max_sentence_length * batch_size, embedded_char_size, max_word_length) @return x_highway: tensor of (max_sentence_length * batch_size, embedded_char_size)

<|skeleton|>
class Highway:
    """HighWay Layer, i.e. a layer of highway network that takes the output of convolutional network as input"""

    def __init__(self, embedded_char_size):
        """Init HighWay Instance. @param embedded_char_size: int"""
        <|body_0|>

    def forward(self, x_conv_out):
        """Run a forward step that map a batch of x_conv_out to x_high_way @param x_conv_out: tensor of (max_sentence_length * batch_size, embedded_char_size, max_word_length) @return x_highway: tensor of (max_sentence_length * batch_size, embedded_char_size)"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        super(Highway, self).__init__()
        self.embedded_char_size = embedded_char_size
        self.proj_projection = nn.Linear(in_features=embedded_char_size, out_features=embedded_char_size)
        self.gate_projection = nn.Linear(in_features=embedded_char_size, out_features=embedded_char_size)
        self.relu = nn.ReLU()
        self.sigmoid = nn.Sigmoid()
<|end_body_0|>

<|body_start_1|>
        assert x_conv_out.size()[1] == self.embedded_char_size, print(f'{x_conv_out.size()} conv_out size')
        x_proj = self.relu(self.proj_projection(x_conv_out))
        assert x_proj.size() == x_conv_out.size(), print(f'{x_proj.size()} x_proj size')
        x_gate = self.sigmoid(self.gate_projection(x_conv_out))
        assert x_gate.size() == x_conv_out.size(), print(f'{x_gate.size()} x_gate size')
        x_highway = x_gate * x_proj + (1 - x_gate) * x_conv_out
        assert x_highway.size() == x_conv_out.size(), print(f'{x_highway.size()} x_highway size')
        return x_highway
<|end_body_1|>

Solution:
class Highway:
    """HighWay Layer, i.e. a layer of highway network that takes the output of convolutional network as input"""

    def __init__(self, embedded_char_size):
        """Init HighWay Instance. @param embedded_char_size: int"""
        super(Highway, self).__init__()
        self.embedded_char_size = embedded_char_size
        self.proj_projection = nn.Linear(in_features=embedded_char_size, out_features=embedded_char_size)
        self.gate_projection = nn.Linear(in_features=embedded_char_size, out_features=embedded_char_size)
        self.relu = nn.ReLU()
        self.sigmoid = nn.Sigmoid()

    def forward(self, x_conv_out):
        """Run a forward step that map a batch of x_conv_out to x_high_way @param x_conv_out: tensor of (max_sentence_length * batch_size, embedded_char_size, max_word_length) @return x_highway: tensor of (max_sentence_length * batch_size, embedded_char_size)"""
        assert x_conv_out.size()[1] == self.embedded_char_size, print(f'{x_conv_out.size()} conv_out size')
        x_proj = self.relu(self.proj_projection(x_conv_out))
        assert x_proj.size() == x_conv_out.size(), print(f'{x_proj.size()} x_proj size')
        x_gate = self.sigmoid(self.gate_projection(x_conv_out))
        assert x_gate.size() == x_conv_out.size(), print(f'{x_gate.size()} x_gate size')
        x_highway = x_gate * x_proj + (1 - x_gate) * x_conv_out
        assert x_highway.size() == x_conv_out.size(), print(f'{x_highway.size()} x_highway size')
        return x_highway


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

Class description:
Command message that creates the ingest job

Method signatures and docstrings:
- def __init__(self): Constructor
- def to_json(self): See :meth:`messaging.messages.message.CommandMessage.to_json`
- def from_json(json_dict): See :meth:`messaging.messages.message.CommandMessage.from_json`
- def execute(self): See :meth:`messaging.messages.message.CommandMessage.execute`

Implement the Python class `CreateIngest` described below.

Class description:
Command message that creates the ingest job

Method signatures and docstrings:
- def __init__(self): Constructor
- def to_json(self): See :meth:`messaging.messages.message.CommandMessage.to_json`
- def from_json(json_dict): See :meth:`messaging.messages.message.CommandMessage.from_json`
- def execute(self): See :meth:`messaging.messages.message.CommandMessage.execute`

<|skeleton|>
class CreateIngest:
    """Command message that creates the ingest job"""

    def __init__(self):
        """Constructor"""
        <|body_0|>

    def to_json(self):
        """See :meth:`messaging.messages.message.CommandMessage.to_json`"""
        <|body_1|>

    def from_json(json_dict):
        """See :meth:`messaging.messages.message.CommandMessage.from_json`"""
        <|body_2|>

    def execute(self):
        """See :meth:`messaging.messages.message.CommandMessage.execute`"""
        <|body_3|>

<|end_skeleton|>

<|body_start_0|>
        super(CreateIngest, self).__init__('create_ingest_jobs')
        self.create_ingest_type = None
        self.ingest_id = None
        self.scan_id = None
        self.strike_id = None
<|end_body_0|>

<|body_start_1|>
        json_dict = {'create_ingest_type': self.create_ingest_type, 'ingest_id': self.ingest_id}
        if self.create_ingest_type == STRIKE_JOB_TYPE:
            json_dict['strike_id'] = self.strike_id
        elif self.create_ingest_type == SCAN_JOB_TYPE:
            json_dict['scan_id'] = self.scan_id
        return json_dict
<|end_body_1|>

<|body_start_2|>
        message = CreateIngest()
        message.create_ingest_type = json_dict['create_ingest_type']
        message.ingest_id = json_dict['ingest_id']
        if message.create_ingest_type == STRIKE_JOB_TYPE:
            message.strike_id = json_dict['strike_id']
        elif message.create_ingest_type == SCAN_JOB_TYPE:
            message.scan_id = json_dict['scan_id']
        return message
<|end_body_2|>

<|body_start_3|>
        from ingest.models import Ingest
        ingest_job_type = Ingest.objects.get_ingest_job_type()
        ingest = Ingest.objects.get(pk=self.ingest_id)
        when = ingest.transfer_ended if ingest.transfer_ended else now()
        desc = {'file_name': ingest.file_name}
        event = None
        ingest_id = ingest.id
        with transaction.atomic():
            if self.create_ingest_type == STRIKE_JOB_TYPE:
                desc['strike_id'] = self.strike_id
                event = TriggerEvent.objects.create_trigger_event('STRIKE_TRANSFER', None, desc, when)
            elif self.create_ingest_type == SCAN_JOB_TYPE:
                ingest_id = Ingest.objects.get(scan_id=self.scan_id, file_name=ingest.file_name).id
                desc['scan_id'] = self.scan_id
                event = TriggerEvent.objects.create_trigger_event('SCAN_TRANSFER', None, desc, when)
        data = Data()
        data.add_value(JsonValue('ingest_id', ingest_id))
        data.add_value(JsonValue('workspace', ingest.workspace.name))
        if ingest.new_workspace:
            data.add_value(JsonValue('new_workspace', ingest.new_workspace.name))
        ingest_job = None
        with transaction.atomic():
            ingest_job = Queue.objects.queue_new_job_v6(ingest_job_type, data, event)
            ingest.job = ingest_job
            ingest.status = 'QUEUED'
            ingest.save()
        job = Job.objects.get_details(ingest_job.id)
        self.new_messages.extend(create_process_job_input_messages([job.id]))
        return True
<|end_body_3|>

Solution:
class CreateIngest:
    """Command message that creates the ingest job"""

    def __init__(self):
        """Constructor"""
        super(CreateIngest, self).__init__('create_ingest_jobs')
        self.create_ingest_type = None
        self.ingest_id = None
        self.scan_id = None
        self.strike_id = None

    def to_json(self):
        """See :meth:`messaging.messages.message.CommandMessage.to_json`"""
        json_dict = {'create_ingest_type': self.create_ingest_type, 'ingest_id': self.ingest_id}
        if self.create_ingest_type == STRIKE_JOB_TYPE:
            json_dict['strike_id'] = self.strike_id
        elif self.create_ingest_type == SCAN_JOB_TYPE:
            json_dict['scan_id'] = self.scan_id
        return json_dict

    def from_json(json_dict):
        """See :meth:`messaging.messages.message.CommandMessage.from_json`"""
        message = CreateIngest()
        message.create_ingest_type = json_dict['create_ingest_type']
        message.ingest_id = json_dict['ingest_id']
        if message.create_ingest_type == STRIKE_JOB_TYPE:
            message.strike_id = json_dict['strike_id']
        elif message.create_ingest_type == SCAN_JOB_TYPE:
            message.scan_id = json_dict['scan_id']
        return message

    def execute(self):
        """See :meth:`messaging.messages.message.CommandMessage.execute`"""
        from ingest.models import Ingest
        ingest_job_type = Ingest.objects.get_ingest_job_type()
        ingest = Ingest.objects.get(pk=self.ingest_id)
        when = ingest.transfer_ended if ingest.transfer_ended else now()
        desc = {'file_name': ingest.file_name}
        event = None
        ingest_id = ingest.id
        with transaction.atomic():
            if self.create_ingest_type == STRIKE_JOB_TYPE:
                desc['strike_id'] = self.strike_id
                event = TriggerEvent.objects.create_trigger_event('STRIKE_TRANSFER', None, desc, when)
            elif self.create_ingest_type == SCAN_JOB_TYPE:
                ingest_id = Ingest.objects.get(scan_id=self.scan_id, file_name=ingest.file_name).id
                desc['scan_id'] = self.scan_id
                event = TriggerEvent.objects.create_trigger_event('SCAN_TRANSFER', None, desc, when)
        data = Data()
        data.add_value(JsonValue('ingest_id', ingest_id))
        data.add_value(JsonValue('workspace', ingest.workspace.name))
        if ingest.new_workspace:
            data.add_value(JsonValue('new_workspace', ingest.new_workspace.name))
        ingest_job = None
        with transaction.atomic():
            ingest_job = Queue.objects.queue_new_job_v6(ingest_job_type, data, event)
            ingest.job = ingest_job
            ingest.status = 'QUEUED'
            ingest.save()
        job = Job.objects.get_details(ingest_job.id)
        self.new_messages.extend(create_process_job_input_messages([job.id]))
        return True