canPartition

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

Class description:
Implement the Solution class.

Method signatures and docstrings:
- def canPartition(self, nums): This problem is essentially a "subset sum to K" problem. But here the target is K/2 (where K = sum of elements of nums). If there's a subset of `nums` that sums to sum(nums) / 2, then it means that the other half of `nums` also sums to sum(nums) / 2, unless sum(nums) is odd, in which case we can just return False.
- def canPartitionIter(self, nums): This problem is essentially a "subset sum to K" problem. But here the target is K/2 (where K = sum of elements of nums). If there's a subset of `nums` that sums to sum(nums) / 2, then it means that the other half of `nums` also sums to sum(nums) / 2, unless sum(nums) is odd, in which case we can just return False.

Implement the Python class `Solution` described below.

Class description:
Implement the Solution class.

Method signatures and docstrings:
- def canPartition(self, nums): This problem is essentially a "subset sum to K" problem. But here the target is K/2 (where K = sum of elements of nums). If there's a subset of `nums` that sums to sum(nums) / 2, then it means that the other half of `nums` also sums to sum(nums) / 2, unless sum(nums) is odd, in which case we can just return False.
- def canPartitionIter(self, nums): This problem is essentially a "subset sum to K" problem. But here the target is K/2 (where K = sum of elements of nums). If there's a subset of `nums` that sums to sum(nums) / 2, then it means that the other half of `nums` also sums to sum(nums) / 2, unless sum(nums) is odd, in which case we can just return False.

<|skeleton|>
class Solution:

    def canPartition(self, nums):
        """This problem is essentially a "subset sum to K" problem. But here the target is K/2 (where K = sum of elements of nums). If there's a subset of `nums` that sums to sum(nums) / 2, then it means that the other half of `nums` also sums to sum(nums) / 2, unless sum(nums) is odd, in which case we can just return False."""
        <|body_0|>

    def canPartitionIter(self, nums):
        """This problem is essentially a "subset sum to K" problem. But here the target is K/2 (where K = sum of elements of nums). If there's a subset of `nums` that sums to sum(nums) / 2, then it means that the other half of `nums` also sums to sum(nums) / 2, unless sum(nums) is odd, in which case we can just return False."""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        cache = {}

        def helper(nums, i, k):
            if (i, k) in cache:
                return False
            if i >= len(nums):
                return False
            if k == 0:
                return True
            include_curr = helper(nums, i + 1, k - nums[i])
            exclude_curr = helper(nums, i + 1, k)
            if include_curr:
                cache[i, k] = False
            return include_curr or exclude_curr
        if not nums:
            return True
        s = sum(nums)
        if s % 2 != 0:
            return False
        return helper(nums, 0, s / 2)
<|end_body_0|>

<|body_start_1|>
        s = sum(nums)
        if s % 2 != 0:
            return False
        dp = [[None for _ in xrange(len(nums) + 1)] for _ in xrange(s / 2 + 1)]
        for i in xrange(len(nums) + 1):
            dp[0][i] = True
        for i in range(1, s / 2 + 1):
            dp[i][0] = False
        for i in xrange(1, s / 2 + 1):
            for j in xrange(1, len(nums) + 1):
                target = i - nums[j - 1]
                if target < 0:
                    dp[i][j] = dp[i][j - 1]
                else:
                    dp[i][j] = dp[i][j - 1] or dp[target][j - 1]
        return dp[-1][-1]
<|end_body_1|>

Solution:
class Solution:
    def canPartition(self, nums):
        """This problem is essentially a "subset sum to K" problem. But here the target is K/2 (where K = sum of elements of nums). If there's a subset of `nums` that sums to sum(nums) / 2, then it means that the other half of `nums` also sums to sum(nums) / 2, unless sum(nums) is odd, in which case we can just return False."""
        cache = {}

        def helper(nums, i, k):
            if (i, k) in cache:
                return False
            if i >= len(nums):
                return False
            if k == 0:
                return True
            include_curr = helper(nums, i + 1, k - nums[i])
            exclude_curr = helper(nums, i + 1, k)
            if include_curr:
                cache[i, k] = False
            return include_curr or exclude_curr
        if not nums:
            return True
        s = sum(nums)
        if s % 2 != 0:
            return False
        return helper(nums, 0, s / 2)

    def canPartitionIter(self, nums):
        """This problem is essentially a "subset sum to K" problem. But here the target is K/2 (where K = sum of elements of nums). If there's a subset of `nums` that sums to sum(nums) / 2, then it means that the other half of `nums` also sums to sum(nums) / 2, unless sum(nums) is odd, in which case we can just return False."""
        s = sum(nums)
        if s % 2 != 0:
            return False
        dp = [[None for _ in xrange(len(nums) + 1)] for _ in xrange(s / 2 + 1)]
        for i in xrange(len(nums) + 1):
            dp[0][i] = True
        for i in range(1, s / 2 + 1):
            dp[i][0] = False
        for i in xrange(1, s / 2 + 1):
            for j in xrange(1, len(nums) + 1):
                target = i - nums[j - 1]
                if target < 0:
                    dp[i][j] = dp[i][j - 1]
                else:
                    dp[i][j] = dp[i][j - 1] or dp[target][j - 1]
        return dp[-1][-1]


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

Class description:
Class based view for reporting noodles

Method signatures and docstrings:
- def form_valid(self, form): Ensures hidden form values are filled
- def get_context_data(self, **kwargs): Passes item name to template

Implement the Python class `NoodleReportForm` described below.

Class description:
Class based view for reporting noodles

Method signatures and docstrings:
- def form_valid(self, form): Ensures hidden form values are filled
- def get_context_data(self, **kwargs): Passes item name to template

<|skeleton|>
class NoodleReportForm:
    """Class based view for reporting noodles"""

    def form_valid(self, form):
        """Ensures hidden form values are filled"""
        <|body_0|>

    def get_context_data(self, **kwargs):
        """Passes item name to template"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        form.instance.noodle = Noodle.objects.get(pk=self.kwargs['id'])
        form.instance.type = 'ND'
        return super().form_valid(form)
<|end_body_0|>

<|body_start_1|>
        context = super().get_context_data(**kwargs)
        context['name'] = Noodle.objects.get(pk=self.kwargs['id']).name
        return context
<|end_body_1|>

Solution:
class NoodleReportForm:
    """Class based view for reporting noodles"""

    def form_valid(self, form):
        """Ensures hidden form values are filled"""
        form.instance.noodle = Noodle.objects.get(pk=self.kwargs['id'])
        form.instance.type = 'ND'
        return super().form_valid(form)

    def get_context_data(self, **kwargs):
        """Passes item name to template"""
        context = super().get_context_data(**kwargs)
        context['name'] = Noodle.objects.get(pk=self.kwargs['id']).name
        return context


forward

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

Class description:
TADE Layer module.

Method signatures and docstrings:
- def __init__(self, in_channels=64, aux_channels=80, kernel_size=9, bias=True, upsample_factor=2, upsample_mode='nearest'): Initilize TADE layer.
- def forward(self, x, c): Calculate forward propagation. Args: x (Tensor): Input tensor (B, in_channels, T). c (Tensor): Auxiliary input tensor (B, aux_channels, T'). Returns: Tensor: Output tensor (B, in_channels, T * in_upsample_factor). Tensor: Upsampled aux tensor (B, in_channels, T * aux_upsample_factor).

Implement the Python class `TADELayer` described below.

Class description:
TADE Layer module.

Method signatures and docstrings:
- def __init__(self, in_channels=64, aux_channels=80, kernel_size=9, bias=True, upsample_factor=2, upsample_mode='nearest'): Initilize TADE layer.
- def forward(self, x, c): Calculate forward propagation. Args: x (Tensor): Input tensor (B, in_channels, T). c (Tensor): Auxiliary input tensor (B, aux_channels, T'). Returns: Tensor: Output tensor (B, in_channels, T * in_upsample_factor). Tensor: Upsampled aux tensor (B, in_channels, T * aux_upsample_factor).

<|skeleton|>
class TADELayer:
    """TADE Layer module."""

    def __init__(self, in_channels=64, aux_channels=80, kernel_size=9, bias=True, upsample_factor=2, upsample_mode='nearest'):
        """Initilize TADE layer."""
        <|body_0|>

    def forward(self, x, c):
        """Calculate forward propagation. Args: x (Tensor): Input tensor (B, in_channels, T). c (Tensor): Auxiliary input tensor (B, aux_channels, T'). Returns: Tensor: Output tensor (B, in_channels, T * in_upsample_factor). Tensor: Upsampled aux tensor (B, in_channels, T * aux_upsample_factor)."""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        super().__init__()
        self.norm = torch.nn.InstanceNorm1d(in_channels)
        self.aux_conv = torch.nn.Sequential(torch.nn.Conv1d(aux_channels, in_channels, kernel_size, 1, bias=bias, padding=(kernel_size - 1) // 2))
        self.gated_conv = torch.nn.Sequential(torch.nn.Conv1d(in_channels, in_channels * 2, kernel_size, 1, bias=bias, padding=(kernel_size - 1) // 2))
        self.upsample = torch.nn.Upsample(scale_factor=upsample_factor, mode=upsample_mode)
<|end_body_0|>

<|body_start_1|>
        x = self.norm(x)
        c = self.upsample(c)
        c = self.aux_conv(c)
        cg = self.gated_conv(c)
        cg1, cg2 = cg.split(cg.size(1) // 2, dim=1)
        y = cg1 * self.upsample(x) + cg2
        return (y, c)
<|end_body_1|>

Solution:
class TADELayer:
    """TADE Layer module."""

    def __init__(self, in_channels=64, aux_channels=80, kernel_size=9, bias=True, upsample_factor=2, upsample_mode='nearest'):
        """Initilize TADE layer."""
        super().__init__()
        self.norm = torch.nn.InstanceNorm1d(in_channels)
        self.aux_conv = torch.nn.Sequential(torch.nn.Conv1d(aux_channels, in_channels, kernel_size, 1, bias=bias, padding=(kernel_size - 1) // 2))
        self.gated_conv = torch.nn.Sequential(torch.nn.Conv1d(in_channels, in_channels * 2, kernel_size, 1, bias=bias, padding=(kernel_size - 1) // 2))
        self.upsample = torch.nn.Upsample(scale_factor=upsample_factor, mode=upsample_mode)

    def forward(self, x, c):
        """Calculate forward propagation. Args: x (Tensor): Input tensor (B, in_channels, T). c (Tensor): Auxiliary input tensor (B, aux_channels, T'). Returns: Tensor: Output tensor (B, in_channels, T * in_upsample_factor). Tensor: Upsampled aux tensor (B, in_channels, T * aux_upsample_factor)."""
        x = self.norm(x)
        c = self.upsample(c)
        c = self.aux_conv(c)
        cg = self.gated_conv(c)
        cg1, cg2 = cg.split(cg.size(1) // 2, dim=1)
        y = cg1 * self.upsample(x) + cg2
        return (y, c)


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

Class description:
Implement the Solution class.

Method signatures and docstrings:
- def middle_node(cls, head: ListNode) -> ListNode: 数组
- def middle_node_v2(cls, head: ListNode) -> ListNode: 单指针
- def middle_node_v3(cls, head: ListNode) -> ListNode: 快慢指针

Implement the Python class `Solution` described below.

Class description:
Implement the Solution class.

Method signatures and docstrings:
- def middle_node(cls, head: ListNode) -> ListNode: 数组
- def middle_node_v2(cls, head: ListNode) -> ListNode: 单指针
- def middle_node_v3(cls, head: ListNode) -> ListNode: 快慢指针

<|skeleton|>
class Solution:

    def middle_node(cls, head: ListNode) -> ListNode:
        """数组"""
        <|body_0|>

    def middle_node_v2(cls, head: ListNode) -> ListNode:
        """单指针"""
        <|body_1|>

    def middle_node_v3(cls, head: ListNode) -> ListNode:
        """快慢指针"""
        <|body_2|>

<|end_skeleton|>

<|body_start_0|>
        array = [head]
        while array[-1].next:
            array.append(array[-1].next)
        return array[len(array) // 2]
<|end_body_0|>

<|body_start_1|>
        n, cur = (0, head)
        while cur:
            n += 1
            cur = cur.next
        k, cur = (0, head)
        while k < n // 2:
            k += 1
            cur = cur.next
        return cur
<|end_body_1|>

<|body_start_2|>
        fast = slow = head
        while fast and fast.next:
            slow = slow.next
            fast = fast.next.next
        return slow
<|end_body_2|>

Solution:
class Solution:
    def middle_node(cls, head: ListNode) -> ListNode:
        """数组"""
        array = [head]
        while array[-1].next:
            array.append(array[-1].next)
        return array[len(array) // 2]

    def middle_node_v2(cls, head: ListNode) -> ListNode:
        """单指针"""
        n, cur = (0, head)
        while cur:
            n += 1
            cur = cur.next
        k, cur = (0, head)
        while k < n // 2:
            k += 1
            cur = cur.next
        return cur

    def middle_node_v3(cls, head: ListNode) -> ListNode:
        """快慢指针"""
        fast = slow = head
        while fast and fast.next:
            slow = slow.next
            fast = fast.next.next
        return slow

01-数据结构/链表/876.链表的中间结点.py


clean

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

Class description:
Make the whole observation/data processing shindig a Class. This incorporates everything from the path to the original data file to the final model. Running it will grab the appropriate data files and spit out a cleaned image and some other stuff. Only used in analysis.py/MCMC_Analysis I think? Probably doesn't do too much important stuff.

Method signatures and docstrings:
- def __init__(self, mol, cut_baselines=True): Give some init values. Args: root (str): the name of the directory to source the data files from name (str): the name of the data files to grab from root rms (float): the rms noise of that particular observation
- def clean(self, show=True): Clean and image (if desired) some data. Note that this is pulled directly from iorek/jonas/.../tools.py/icr()

Implement the Python class `Observation` described below.

Class description:
Make the whole observation/data processing shindig a Class. This incorporates everything from the path to the original data file to the final model. Running it will grab the appropriate data files and spit out a cleaned image and some other stuff. Only used in analysis.py/MCMC_Analysis I think? Probably doesn't do too much important stuff.

Method signatures and docstrings:
- def __init__(self, mol, cut_baselines=True): Give some init values. Args: root (str): the name of the directory to source the data files from name (str): the name of the data files to grab from root rms (float): the rms noise of that particular observation
- def clean(self, show=True): Clean and image (if desired) some data. Note that this is pulled directly from iorek/jonas/.../tools.py/icr()

<|skeleton|>
class Observation:
    """Make the whole observation/data processing shindig a Class. This incorporates everything from the path to the original data file to the final model. Running it will grab the appropriate data files and spit out a cleaned image and some other stuff. Only used in analysis.py/MCMC_Analysis I think? Probably doesn't do too much important stuff."""

    def __init__(self, mol, cut_baselines=True):
        """Give some init values. Args: root (str): the name of the directory to source the data files from name (str): the name of the data files to grab from root rms (float): the rms noise of that particular observation"""
        <|body_0|>

    def clean(self, show=True):
        """Clean and image (if desired) some data. Note that this is pulled directly from iorek/jonas/.../tools.py/icr()"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        if cut_baselines:
            fname_end = '-short' + str(lines[mol]['baseline_cutoff'])
        else:
            fname_end = ''
        self.mol = mol
        self.path = './data/' + mol + '/' + mol + fname_end
        self.uvf = fits.open(self.path + '.uvf')
        self.fits = fits.open(self.path + '.fits')
        self.baseline_cutoff = 110
        self.rms = lines[mol]['rms']
        self.restfreq = lines[mol]['restfreq']
        "\n        Not convinced about this stuff. It's not working for my files.\n        try:\n            self.dec = self.uvf[0].data['OBSDEC'][0]\n            self.ra = self.uvf[0].data['OBSRA'][0]\n        except:\n            self.dec = self.uvf[3].data['DECEPO'][0]\n            self.ra = self.uvf[3].data['RAEPO'][0]\n\n        # Keep digging for these guys. They're probably somewhere.\n        "
<|end_body_0|>

<|body_start_1|>
        sp.call('rm -rf {}.{{mp,bm,cl,cm}}'.format(self.path), shell=True)
        sp.call(['puthd', 'in={}.vis/restfreq'.format(self.path), 'value={}'.format(self.restfreq)])
        sp.call(['invert', 'vis={}.vis'.format(self.path), 'map={}.mp'.format(self.path), 'beam={}.bm'.format(self.path), 'options=systemp', 'select=-uvrange(0,{})'.format(self.baseline_cutoff), 'cell=0.045', 'imsize=256', 'robust=2'])
        sp.call(['clean', 'map={}.mp'.format(self.path), 'beam={}.bm'.format(self.path), 'out={}.cl'.format(self.path), 'niters=10000', 'threshold=1e-3'])
        sp.call(['restor', 'map={}.mp'.format(self.path), 'beam={}.bm'.format(self.path), 'model={}.cl'.format(self.path), 'out={}.cm'.format(self.path)])
        if show:
            sp.call(['cgdisp', 'in=cgdisp_start.im', 'type=p', 'device=/xs'])
            imstat_out = sp.check_output(['imstat', 'in={}.cm'.format(self.path), "region='boxes(256,0,512,200)'"])
            clean_rms = float(imstat_out[-38:-29])
            print('Clean rms is {}'.format(clean_rms))
            sp.call(['cgdisp', 'in={}.cm,{}.cm'.format(self.path, self.path), 'type=p,c', 'device=/xs', 'slev=a,{}'.format(clean_rms), 'levs1=-6,-4,-2,2,4,6', 'region=arcsec,box(-5,-5,5,5)', 'labtyp=arcsec', 'beamtyp=b,l,3'])
<|end_body_1|>

Solution:
class Observation:
    """Make the whole observation/data processing shindig a Class. This incorporates everything from the path to the original data file to the final model. Running it will grab the appropriate data files and spit out a cleaned image and some other stuff. Only used in analysis.py/MCMC_Analysis I think? Probably doesn't do too much important stuff."""

    def __init__(self, mol, cut_baselines=True):
        """Give some init values. Args: root (str): the name of the directory to source the data files from name (str): the name of the data files to grab from root rms (float): the rms noise of that particular observation"""
        if cut_baselines:
            fname_end = '-short' + str(lines[mol]['baseline_cutoff'])
        else:
            fname_end = ''
        self.mol = mol
        self.path = './data/' + mol + '/' + mol + fname_end
        self.uvf = fits.open(self.path + '.uvf')
        self.fits = fits.open(self.path + '.fits')
        self.baseline_cutoff = 110
        self.rms = lines[mol]['rms']
        self.restfreq = lines[mol]['restfreq']
        "\n        Not convinced about this stuff. It's not working for my files.\n        try:\n            self.dec = self.uvf[0].data['OBSDEC'][0]\n            self.ra = self.uvf[0].data['OBSRA'][0]\n        except:\n            self.dec = self.uvf[3].data['DECEPO'][0]\n            self.ra = self.uvf[3].data['RAEPO'][0]\n\n        # Keep digging for these guys. They're probably somewhere.\n        "

    def clean(self, show=True):
        """Clean and image (if desired) some data. Note that this is pulled directly from iorek/jonas/.../tools.py/icr()"""
        sp.call('rm -rf {}.{{mp,bm,cl,cm}}'.format(self.path), shell=True)
        sp.call(['puthd', 'in={}.vis/restfreq'.format(self.path), 'value={}'.format(self.restfreq)])
        sp.call(['invert', 'vis={}.vis'.format(self.path), 'map={}.mp'.format(self.path), 'beam={}.bm'.format(self.path), 'options=systemp', 'select=-uvrange(0,{})'.format(self.baseline_cutoff), 'cell=0.045', 'imsize=256', 'robust=2'])
        sp.call(['clean', 'map={}.mp'.format(self.path), 'beam={}.bm'.format(self.path), 'out={}.cl'.format(self.path), 'niters=10000', 'threshold=1e-3'])
        sp.call(['restor', 'map={}.mp'.format(self.path), 'beam={}.bm'.format(self.path), 'model={}.cl'.format(self.path), 'out={}.cm'.format(self.path)])
        if show:
            sp.call(['cgdisp', 'in=cgdisp_start.im', 'type=p', 'device=/xs'])
            imstat_out = sp.check_output(['imstat', 'in={}.cm'.format(self.path), "region='boxes(256,0,512,200)'"])
            clean_rms = float(imstat_out[-38:-29])
            print('Clean rms is {}'.format(clean_rms))
            sp.call(['cgdisp', 'in={}.cm,{}.cm'.format(self.path, self.path), 'type=p,c', 'device=/xs', 'slev=a,{}'.format(clean_rms), 'levs1=-6,-4,-2,2,4,6', 'region=arcsec,box(-5,-5,5,5)', 'labtyp=arcsec', 'beamtyp=b,l,3'])


MCPrediction

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

Class description:
Implement the TrainOneRound class.

Method signatures and docstrings:
- def __init__(self, path, read_first=False): Input: path: the path to save the policy read_first: if true, read from the path first
- def MCPrediction(self, n_epoch): MC prediction following Sutton Barto 5.1 Against rush opponent Input: n_epoch: the number of episodes to be trained

Implement the Python class `TrainOneRound` described below.

Class description:
Implement the TrainOneRound class.

Method signatures and docstrings:
- def __init__(self, path, read_first=False): Input: path: the path to save the policy read_first: if true, read from the path first
- def MCPrediction(self, n_epoch): MC prediction following Sutton Barto 5.1 Against rush opponent Input: n_epoch: the number of episodes to be trained

<|skeleton|>
class TrainOneRound:

    def __init__(self, path, read_first=False):
        """Input: path: the path to save the policy read_first: if true, read from the path first"""
        <|body_0|>

    def MCPrediction(self, n_epoch):
        """MC prediction following Sutton Barto 5.1 Against rush opponent Input: n_epoch: the number of episodes to be trained"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        if read_first:
            self.policy_1, self.i_epoch = pickle.load(open(path, 'rb'))
            print('Policy read from file. Trained for %i epochs.' % self.i_epoch)
        self.path = path
        self.i_epoch = 0
        self.policy_1 = TabularPolicy()
<|end_body_0|>

<|body_start_1|>
        self.policy_2 = TabularPolicy()
        returns = dict()
        for num in range(int('1' + '0' * 9, 3), int('2' * 10, 3) + 1):
            returns[num] = []
        for _ in range(n_epoch):
            s = State().get_num()
            history = [s]
            while not State(from_base10=s).is_terminal():
                s = self.policy_1.move_dict[s]
                history.append(s)
                if State(from_base10=s).is_terminal():
                    break
                s = self.policy_2.move_dict[s]
                history.append(s)
            g = State(from_base10=s).get_reward()
            for i, s in enumerate(history):
                returns[s].append(g)
                if i % 2 == 0:
                    self.policy_1.v_dict[s] = np.average(returns[s])
                else:
                    self.policy_2.v_dict[s] = np.average(returns[s])
        for num in range(int('2' + '0' * 9, 3), int('2' * 10, 3) + 1):
            self.policy_1.v_dict[num] = self.policy_2.v_dict[num]
        self.i_epoch += 1
        pickle.dump((self.policy_1, self.i_epoch), open(self.path, 'wb'))
        print('MC prediction finished.')
<|end_body_1|>

Solution:
class TrainOneRound:
    def __init__(self, path, read_first=False):
        """Input: path: the path to save the policy read_first: if true, read from the path first"""
        if read_first:
            self.policy_1, self.i_epoch = pickle.load(open(path, 'rb'))
            print('Policy read from file. Trained for %i epochs.' % self.i_epoch)
        self.path = path
        self.i_epoch = 0
        self.policy_1 = TabularPolicy()

    def MCPrediction(self, n_epoch):
        """MC prediction following Sutton Barto 5.1 Against rush opponent Input: n_epoch: the number of episodes to be trained"""
        self.policy_2 = TabularPolicy()
        returns = dict()
        for num in range(int('1' + '0' * 9, 3), int('2' * 10, 3) + 1):
            returns[num] = []
        for _ in range(n_epoch):
            s = State().get_num()
            history = [s]
            while not State(from_base10=s).is_terminal():
                s = self.policy_1.move_dict[s]
                history.append(s)
                if State(from_base10=s).is_terminal():
                    break
                s = self.policy_2.move_dict[s]
                history.append(s)
            g = State(from_base10=s).get_reward()
            for i, s in enumerate(history):
                returns[s].append(g)
                if i % 2 == 0:
                    self.policy_1.v_dict[s] = np.average(returns[s])
                else:
                    self.policy_2.v_dict[s] = np.average(returns[s])
        for num in range(int('2' + '0' * 9, 3), int('2' * 10, 3) + 1):
            self.policy_1.v_dict[num] = self.policy_2.v_dict[num]
        self.i_epoch += 1
        pickle.dump((self.policy_1, self.i_epoch), open(self.path, 'wb'))
        print('MC prediction finished.')


Prompt:
Implement the Python class `Keithley_2000_Scan_Channel` described below.

Class description:
This is the qcodes driver for a channel of the 2000-SCAN scanner card.

Method signatures and docstrings:
- def __init__(self, dmm: 'Keithley_6500', channel: int, **kwargs) -> None: Initialize instance of scanner card Keithley 2000-SCAN Args: dmm: Instance of digital multimeter Keithley6500 containing the scanner card channel: Channel number **kwargs: Keyword arguments to pass to __init__ function of InstrumentChannel class
- def _measure(self, quantity: str) -> str: Measure given quantity at rear terminal of the instrument. Only perform measurement if rear terminal is active. Send SCPI command to measure and read out given quantity. Args: quantity: Quantity to be measured Returns: Measurement result

Implement the Python class `Keithley_2000_Scan_Channel` described below.

Class description:
This is the qcodes driver for a channel of the 2000-SCAN scanner card.

Method signatures and docstrings:
- def __init__(self, dmm: 'Keithley_6500', channel: int, **kwargs) -> None: Initialize instance of scanner card Keithley 2000-SCAN Args: dmm: Instance of digital multimeter Keithley6500 containing the scanner card channel: Channel number **kwargs: Keyword arguments to pass to __init__ function of InstrumentChannel class
- def _measure(self, quantity: str) -> str: Measure given quantity at rear terminal of the instrument. Only perform measurement if rear terminal is active. Send SCPI command to measure and read out given quantity. Args: quantity: Quantity to be measured Returns: Measurement result

<|skeleton|>
class Keithley_2000_Scan_Channel:
    """This is the qcodes driver for a channel of the 2000-SCAN scanner card."""

    def __init__(self, dmm: 'Keithley_6500', channel: int, **kwargs) -> None:
        """Initialize instance of scanner card Keithley 2000-SCAN Args: dmm: Instance of digital multimeter Keithley6500 containing the scanner card channel: Channel number **kwargs: Keyword arguments to pass to __init__ function of InstrumentChannel class"""
        <|body_0|>

    def _measure(self, quantity: str) -> str:
        """Measure given quantity at rear terminal of the instrument. Only perform measurement if rear terminal is active. Send SCPI command to measure and read out given quantity. Args: quantity: Quantity to be measured Returns: Measurement result"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        super().__init__(dmm, f'ch{channel}', **kwargs)
        self.channel = channel
        self.dmm = dmm
        self.add_parameter('resistance', unit='Ohm', label=f'Resistance CH{self.channel}', get_parser=float, get_cmd=partial(self._measure, 'RES'))
        self.add_parameter('resistance_4w', unit='Ohm', label=f'Resistance (4-wire) CH{self.channel}', get_parser=float, get_cmd=partial(self._measure, 'FRES'))
        self.add_parameter('voltage_dc', unit='V', label=f'DC Voltage CH{self.channel}', get_parser=float, get_cmd=partial(self._measure, 'VOLT'))
        self.add_parameter('current_dc', unit='A', label=f'DC current CH{self.channel}', get_parser=float, get_cmd=partial(self._measure, 'CURR'))
<|end_body_0|>

<|body_start_1|>
        if self.dmm.active_terminal.get() == 'REAR':
            self.write(f"SENS:FUNC '{quantity}', (@{self.channel:d})")
            self.write(f'ROUT:CLOS (@{self.channel:d})')
            return self.ask('READ?')
        else:
            raise RuntimeError('Front terminal is active instead of rear terminal.')
<|end_body_1|>

Solution:
class Keithley_2000_Scan_Channel:
    """This is the qcodes driver for a channel of the 2000-SCAN scanner card."""

    def __init__(self, dmm: 'Keithley_6500', channel: int, **kwargs) -> None:
        """Initialize instance of scanner card Keithley 2000-SCAN Args: dmm: Instance of digital multimeter Keithley6500 containing the scanner card channel: Channel number **kwargs: Keyword arguments to pass to __init__ function of InstrumentChannel class"""
        super().__init__(dmm, f'ch{channel}', **kwargs)
        self.channel = channel
        self.dmm = dmm
        self.add_parameter('resistance', unit='Ohm', label=f'Resistance CH{self.channel}', get_parser=float, get_cmd=partial(self._measure, 'RES'))
        self.add_parameter('resistance_4w', unit='Ohm', label=f'Resistance (4-wire) CH{self.channel}', get_parser=float, get_cmd=partial(self._measure, 'FRES'))
        self.add_parameter('voltage_dc', unit='V', label=f'DC Voltage CH{self.channel}', get_parser=float, get_cmd=partial(self._measure, 'VOLT'))
        self.add_parameter('current_dc', unit='A', label=f'DC current CH{self.channel}', get_parser=float, get_cmd=partial(self._measure, 'CURR'))

    def _measure(self, quantity: str) -> str:
        """Measure given quantity at rear terminal of the instrument. Only perform measurement if rear terminal is active. Send SCPI command to measure and read out given quantity. Args: quantity: Quantity to be measured Returns: Measurement result"""
        if self.dmm.active_terminal.get() == 'REAR':
            self.write(f"SENS:FUNC '{quantity}', (@{self.channel:d})")
            self.write(f'ROUT:CLOS (@{self.channel:d})')
            return self.ask('READ?')
        else:
            raise RuntimeError('Front terminal is active instead of rear terminal.')


dates

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

Class description:
Abstract model with optional start and end years, and a custom dates property to display the date range nicely. Includes validation that requires end year falls after start year.

Method signatures and docstrings:
- def dates(self): Date or date range as a string for display
- def clean_fields(self, exclude=None): Override to clean fields to make sure start/end year are sensical

Implement the Python class `DateRange` described below.

Class description:
Abstract model with optional start and end years, and a custom dates property to display the date range nicely. Includes validation that requires end year falls after start year.

Method signatures and docstrings:
- def dates(self): Date or date range as a string for display
- def clean_fields(self, exclude=None): Override to clean fields to make sure start/end year are sensical

<|skeleton|>
class DateRange:
    """Abstract model with optional start and end years, and a custom dates property to display the date range nicely. Includes validation that requires end year falls after start year."""

    def dates(self):
        """Date or date range as a string for display"""
        <|body_0|>

    def clean_fields(self, exclude=None):
        """Override to clean fields to make sure start/end year are sensical"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        if not self.start_year and (not self.end_year):
            return ''
        if self.start_year == self.end_year:
            return self.start_year
        date_parts = [self.start_year, '-', self.end_year]
        return ''.join([str(dp) for dp in date_parts if dp is not None])
<|end_body_0|>

<|body_start_1|>
        if exclude is None:
            exclude = []
        if 'start_year' in exclude or 'end_year' in exclude:
            return
        if self.start_year and self.end_year and (self.end_year < self.start_year):
            raise ValidationError('End year must be after start year')
<|end_body_1|>

Solution:
class DateRange:
    """Abstract model with optional start and end years, and a custom dates property to display the date range nicely. Includes validation that requires end year falls after start year."""

    def dates(self):
        """Date or date range as a string for display"""
        if not self.start_year and (not self.end_year):
            return ''
        if self.start_year == self.end_year:
            return self.start_year
        date_parts = [self.start_year, '-', self.end_year]
        return ''.join([str(dp) for dp in date_parts if dp is not None])

    def clean_fields(self, exclude=None):
        """Override to clean fields to make sure start/end year are sensical"""
        if exclude is None:
            exclude = []
        if 'start_year' in exclude or 'end_year' in exclude:
            return
        if self.start_year and self.end_year and (self.end_year < self.start_year):
            raise ValidationError('End year must be after start year')


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

Class description:
Simple auxiliary filtering class

Method signatures and docstrings:
- def dict_list_slice(dicts: list, columns: list) -> list: Slices list of dicts by given columns(keys) Parameters ---------- dicts : list list of dicts columns : list column(keys) names Returns ------- list list of dicts sliced by given keys
- def cyrillic_to_latin(text: str) -> str: Changes all cyrllic letter to its latin analog Parameters ---------- text : str text where you want to change cyrillic letters Returns ------- str modified string
- def timestamp_to_date(date: Union[str, int]) -> str: transforms timestamp date to Y-m-d H:M:S format Parameters ---------- date : Union[str, int] timestamp string or int Returns ------- str formatted date string in Y-m-d H:M:S format

Implement the Python class `DataFiltering` described below.

Class description:
Simple auxiliary filtering class

Method signatures and docstrings:
- def dict_list_slice(dicts: list, columns: list) -> list: Slices list of dicts by given columns(keys) Parameters ---------- dicts : list list of dicts columns : list column(keys) names Returns ------- list list of dicts sliced by given keys
- def cyrillic_to_latin(text: str) -> str: Changes all cyrllic letter to its latin analog Parameters ---------- text : str text where you want to change cyrillic letters Returns ------- str modified string
- def timestamp_to_date(date: Union[str, int]) -> str: transforms timestamp date to Y-m-d H:M:S format Parameters ---------- date : Union[str, int] timestamp string or int Returns ------- str formatted date string in Y-m-d H:M:S format

<|skeleton|>
class DataFiltering:
    """Simple auxiliary filtering class"""

    def dict_list_slice(dicts: list, columns: list) -> list:
        """Slices list of dicts by given columns(keys) Parameters ---------- dicts : list list of dicts columns : list column(keys) names Returns ------- list list of dicts sliced by given keys"""
        <|body_0|>

    def cyrillic_to_latin(text: str) -> str:
        """Changes all cyrllic letter to its latin analog Parameters ---------- text : str text where you want to change cyrillic letters Returns ------- str modified string"""
        <|body_1|>

    def timestamp_to_date(date: Union[str, int]) -> str:
        """transforms timestamp date to Y-m-d H:M:S format Parameters ---------- date : Union[str, int] timestamp string or int Returns ------- str formatted date string in Y-m-d H:M:S format"""
        <|body_2|>

<|end_skeleton|>

<|body_start_0|>
        if columns != []:
            for i, _ in enumerate(dicts):
                dicts[i] = {c: dicts[i][c] for c in columns}
            return dicts
        else:
            return dicts
<|end_body_0|>

<|body_start_1|>
        sim_dict = {'А': 'A', 'Р': 'P', 'К': 'K', 'В': 'B', 'Т': 'T', 'С': 'C', 'Х': 'X', 'Е': 'E', 'О': 'O', 'Н': 'H', 'М': 'M'}
        for sym in sim_dict.keys():
            text = text.replace(sym, sim_dict[sym])
        return text
<|end_body_1|>

<|body_start_2|>
        ts = int(date)
        date = datetime.utcfromtimestamp(ts).strftime('%Y-%m-%d %H:%M:%S')
        return str(date)
<|end_body_2|>

Solution:
class DataFiltering:
    """Simple auxiliary filtering class"""

    def dict_list_slice(dicts: list, columns: list) -> list:
        """Slices list of dicts by given columns(keys) Parameters ---------- dicts : list list of dicts columns : list column(keys) names Returns ------- list list of dicts sliced by given keys"""
        if columns != []:
            for i, _ in enumerate(dicts):
                dicts[i] = {c: dicts[i][c] for c in columns}
            return dicts
        else:
            return dicts

    def cyrillic_to_latin(text: str) -> str:
        """Changes all cyrllic letter to its latin analog Parameters ---------- text : str text where you want to change cyrillic letters Returns ------- str modified string"""
        sim_dict = {'А': 'A', 'Р': 'P', 'К': 'K', 'В': 'B', 'Т': 'T', 'С': 'C', 'Х': 'X', 'Е': 'E', 'О': 'O', 'Н': 'H', 'М': 'M'}
        for sym in sim_dict.keys():
            text = text.replace(sym, sim_dict[sym])
        return text

    def timestamp_to_date(date: Union[str, int]) -> str:
        """transforms timestamp date to Y-m-d H:M:S format Parameters ---------- date : Union[str, int] timestamp string or int Returns ------- str formatted date string in Y-m-d H:M:S format"""
        ts = int(date)
        date = datetime.utcfromtimestamp(ts).strftime('%Y-%m-%d %H:%M:%S')
        return str(date)


delete

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

Class description:
REST end-point for querying and managing virtuals

Method signatures and docstrings:
- async def get(self, virtual_id) -> web.Response: Get a virtual's full config
- async def put(self, virtual_id, request) -> web.Response: Set a virtual to active or inactive
- async def post(self, virtual_id, request) -> web.Response: Update a virtual's segments configuration
- async def delete(self, virtual_id) -> web.Response: Remove a virtual with this virtual id Handles deleting the device if the virtual is dedicated to a device Removes references to this virtual in any scenes

Implement the Python class `VirtualEndpoint` described below.

Class description:
REST end-point for querying and managing virtuals

Method signatures and docstrings:
- async def get(self, virtual_id) -> web.Response: Get a virtual's full config
- async def put(self, virtual_id, request) -> web.Response: Set a virtual to active or inactive
- async def post(self, virtual_id, request) -> web.Response: Update a virtual's segments configuration
- async def delete(self, virtual_id) -> web.Response: Remove a virtual with this virtual id Handles deleting the device if the virtual is dedicated to a device Removes references to this virtual in any scenes

<|skeleton|>
class VirtualEndpoint:
    """REST end-point for querying and managing virtuals"""

    async def get(self, virtual_id) -> web.Response:
        """Get a virtual's full config"""
        <|body_0|>

    async def put(self, virtual_id, request) -> web.Response:
        """Set a virtual to active or inactive"""
        <|body_1|>

    async def post(self, virtual_id, request) -> web.Response:
        """Update a virtual's segments configuration"""
        <|body_2|>

    async def delete(self, virtual_id) -> web.Response:
        """Remove a virtual with this virtual id Handles deleting the device if the virtual is dedicated to a device Removes references to this virtual in any scenes"""
        <|body_3|>

<|end_skeleton|>

<|body_start_0|>
        virtual = self._ledfx.virtuals.get(virtual_id)
        if virtual is None:
            response = {'status': 'failed', 'reason': f'Virtual with ID {virtual_id} not found'}
            return web.json_response(data=response, status=404)
        response = {'status': 'success'}
        response[virtual.id] = {'config': virtual.config, 'id': virtual.id, 'is_device': virtual.is_device, 'auto_generated': virtual.auto_generated, 'segments': virtual.segments, 'pixel_count': virtual.pixel_count, 'active': virtual.active, 'effect': {}}
        if virtual.active_effect:
            effect_response = {}
            effect_response['config'] = virtual.active_effect.config
            effect_response['name'] = virtual.active_effect.name
            effect_response['type'] = virtual.active_effect.type
            response[virtual.id]['effect'] = effect_response
        return web.json_response(data=response, status=200)
<|end_body_0|>

<|body_start_1|>
        virtual = self._ledfx.virtuals.get(virtual_id)
        if virtual is None:
            response = {'status': 'failed', 'reason': f'Virtual with ID {virtual_id} not found'}
            return web.json_response(data=response, status=404)
        try:
            data = await request.json()
        except JSONDecodeError:
            response = {'status': 'failed', 'reason': 'JSON Decoding failed'}
            return web.json_response(data=response, status=400)
        active = data.get('active')
        if active is None:
            response = {'status': 'failed', 'reason': 'Required attribute "active" was not provided'}
            return web.json_response(data=response, status=400)
        try:
            virtual.active = active
        except ValueError as msg:
            response = {'status': 'failed', 'payload': {'type': 'warning', 'reason': str(msg)}}
            return web.json_response(data=response, status=202)
        for idx, item in enumerate(self._ledfx.config['virtuals']):
            if item['id'] == virtual.id:
                item['active'] = virtual.active
                self._ledfx.config['virtuals'][idx] = item
                break
        save_config(config=self._ledfx.config, config_dir=self._ledfx.config_dir)
        response = {'status': 'success', 'active': virtual.active}
        return web.json_response(data=response, status=200)
<|end_body_1|>

<|body_start_2|>
        virtual = self._ledfx.virtuals.get(virtual_id)
        if virtual is None:
            response = {'status': 'failed', 'reason': f'Virtual with ID {virtual_id} not found'}
            return web.json_response(data=response, status=404)
        try:
            data = await request.json()
        except JSONDecodeError:
            response = {'status': 'failed', 'reason': 'JSON Decoding failed'}
            return web.json_response(data=response, status=400)
        virtual_segments = data.get('segments')
        if virtual_segments is None:
            response = {'status': 'failed', 'reason': 'Required attribute "segments" was not provided'}
            return web.json_response(data=response, status=400)
        old_segments = virtual.segments
        try:
            virtual.update_segments(virtual_segments)
        except (ValueError, vol.MultipleInvalid, vol.Invalid) as msg:
            response = {'status': 'failed', 'payload': {'type': 'error', 'message': str(msg)}}
            virtual.update_segments(old_segments)
            return web.json_response(data=response, status=202)
        for idx, item in enumerate(self._ledfx.config['virtuals']):
            if item['id'] == virtual.id:
                item['segments'] = virtual.segments
                self._ledfx.config['virtuals'][idx] = item
                break
        save_config(config=self._ledfx.config, config_dir=self._ledfx.config_dir)
        response = {'status': 'success', 'segments': virtual.segments}
        return web.json_response(data=response, status=200)
<|end_body_2|>

<|body_start_3|>
        virtual = self._ledfx.virtuals.get(virtual_id)
        if virtual is None:
            response = {'status': 'failed', 'reason': f'Virtual with ID {virtual_id} not found'}
            return web.json_response(data=response, status=404)
        virtual.clear_effect()
        device_id = virtual.is_device
        device = self._ledfx.devices.get(device_id)
        if device is not None:
            await device.remove_from_virtuals()
            self._ledfx.devices.destroy(device_id)
            self._ledfx.config['devices'] = [_device for _device in self._ledfx.config['devices'] if _device['id'] != device_id]
        ledfx_scenes = self._ledfx.config['scenes'].copy()
        for scene_id, scene_config in ledfx_scenes.items():
            self._ledfx.config['scenes'][scene_id]['virtuals'] = {_virtual_id: effect for _virtual_id, effect in scene_config['virtuals'].items() if _virtual_id != virtual_id}
        self._ledfx.virtuals.destroy(virtual_id)
        self._ledfx.config['virtuals'] = [virtual for virtual in self._ledfx.config['virtuals'] if virtual['id'] != virtual_id]
        save_config(config=self._ledfx.config, config_dir=self._ledfx.config_dir)
        response = {'status': 'success'}
        return web.json_response(data=response, status=200)
<|end_body_3|>

Solution:
class VirtualEndpoint:
    """REST end-point for querying and managing virtuals"""

    async def get(self, virtual_id) -> web.Response:
        """Get a virtual's full config"""
        virtual = self._ledfx.virtuals.get(virtual_id)
        if virtual is None:
            response = {'status': 'failed', 'reason': f'Virtual with ID {virtual_id} not found'}
            return web.json_response(data=response, status=404)
        response = {'status': 'success'}
        response[virtual.id] = {'config': virtual.config, 'id': virtual.id, 'is_device': virtual.is_device, 'auto_generated': virtual.auto_generated, 'segments': virtual.segments, 'pixel_count': virtual.pixel_count, 'active': virtual.active, 'effect': {}}
        if virtual.active_effect:
            effect_response = {}
            effect_response['config'] = virtual.active_effect.config
            effect_response['name'] = virtual.active_effect.name
            effect_response['type'] = virtual.active_effect.type
            response[virtual.id]['effect'] = effect_response
        return web.json_response(data=response, status=200)

    async def put(self, virtual_id, request) -> web.Response:
        """Set a virtual to active or inactive"""
        virtual = self._ledfx.virtuals.get(virtual_id)
        if virtual is None:
            response = {'status': 'failed', 'reason': f'Virtual with ID {virtual_id} not found'}
            return web.json_response(data=response, status=404)
        try:
            data = await request.json()
        except JSONDecodeError:
            response = {'status': 'failed', 'reason': 'JSON Decoding failed'}
            return web.json_response(data=response, status=400)
        active = data.get('active')
        if active is None:
            response = {'status': 'failed', 'reason': 'Required attribute "active" was not provided'}
            return web.json_response(data=response, status=400)
        try:
            virtual.active = active
        except ValueError as msg:
            response = {'status': 'failed', 'payload': {'type': 'warning', 'reason': str(msg)}}
            return web.json_response(data=response, status=202)
        for idx, item in enumerate(self._ledfx.config['virtuals']):
            if item['id'] == virtual.id:
                item['active'] = virtual.active
                self._ledfx.config['virtuals'][idx] = item
                break
        save_config(config=self._ledfx.config, config_dir=self._ledfx.config_dir)
        response = {'status': 'success', 'active': virtual.active}
        return web.json_response(data=response, status=200)

    async def post(self, virtual_id, request) -> web.Response:
        """Update a virtual's segments configuration"""
        virtual = self._ledfx.virtuals.get(virtual_id)
        if virtual is None:
            response = {'status': 'failed', 'reason': f'Virtual with ID {virtual_id} not found'}
            return web.json_response(data=response, status=404)
        try:
            data = await request.json()
        except JSONDecodeError:
            response = {'status': 'failed', 'reason': 'JSON Decoding failed'}
            return web.json_response(data=response, status=400)
        virtual_segments = data.get('segments')
        if virtual_segments is None:
            response = {'status': 'failed', 'reason': 'Required attribute "segments" was not provided'}
            return web.json_response(data=response, status=400)
        old_segments = virtual.segments
        try:
            virtual.update_segments(virtual_segments)
        except (ValueError, vol.MultipleInvalid, vol.Invalid) as msg:
            response = {'status': 'failed', 'payload': {'type': 'error', 'message': str(msg)}}
            virtual.update_segments(old_segments)
            return web.json_response(data=response, status=202)
        for idx, item in enumerate(self._ledfx.config['virtuals']):
            if item['id'] == virtual.id:
                item['segments'] = virtual.segments
                self._ledfx.config['virtuals'][idx] = item
                break
        save_config(config=self._ledfx.config, config_dir=self._ledfx.config_dir)
        response = {'status': 'success', 'segments': virtual.segments}
        return web.json_response(data=response, status=200)

    async def delete(self, virtual_id) -> web.Response:
        """Remove a virtual with this virtual id Handles deleting the device if the virtual is dedicated to a device Removes references to this virtual in any scenes"""
        virtual = self._ledfx.virtuals.get(virtual_id)
        if virtual is None:
            response = {'status': 'failed', 'reason': f'Virtual with ID {virtual_id} not found'}
            return web.json_response(data=response, status=404)
        virtual.clear_effect()
        device_id = virtual.is_device
        device = self._ledfx.devices.get(device_id)
        if device is not None:
            await device.remove_from_virtuals()
            self._ledfx.devices.destroy(device_id)
            self._ledfx.config['devices'] = [_device for _device in self._ledfx.config['devices'] if _device['id'] != device_id]
        ledfx_scenes = self._ledfx.config['scenes'].copy()
        for scene_id, scene_config in ledfx_scenes.items():
            self._ledfx.config['scenes'][scene_id]['virtuals'] = {_virtual_id: effect for _virtual_id, effect in scene_config['virtuals'].items() if _virtual_id != virtual_id}
        self._ledfx.virtuals.destroy(virtual_id)
        self._ledfx.config['virtuals'] = [virtual for virtual in self._ledfx.config['virtuals'] if virtual['id'] != virtual_id]
        save_config(config=self._ledfx.config, config_dir=self._ledfx.config_dir)
        response = {'status': 'success'}
        return web.json_response(data=response, status=200)


sumRegion

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

Class description:
Implement the NumMatrix class.

Method signatures and docstrings:
- def __init__(self, matrix): :type matrix: List[List[int]]
- def sumRegion(self, row1, col1, row2, col2): :type row1: int :type col1: int :type row2: int :type col2: int :rtype: int

Implement the Python class `NumMatrix` described below.

Class description:
Implement the NumMatrix class.

Method signatures and docstrings:
- def __init__(self, matrix): :type matrix: List[List[int]]
- def sumRegion(self, row1, col1, row2, col2): :type row1: int :type col1: int :type row2: int :type col2: int :rtype: int

<|skeleton|>
class NumMatrix:

    def __init__(self, matrix):
        """:type matrix: List[List[int]]"""
        <|body_0|>

    def sumRegion(self, row1, col1, row2, col2):
        """:type row1: int :type col1: int :type row2: int :type col2: int :rtype: int"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        if not matrix:
            return None
        self.lsum = []
        for i in range(len(matrix)):
            self.lsum.append([matrix[i][0]])
            for j in range(1, len(matrix[0])):
                self.lsum[i].append(self.lsum[i][-1] + matrix[i][j])
        self.lusum = [self.lsum[0]]
        for i in range(1, len(matrix)):
            self.lusum.append([])
            for j in range(len(matrix[0])):
                self.lusum[i].append(self.lsum[i][j] + self.lusum[i - 1][j])
<|end_body_0|>

<|body_start_1|>
        ans = 0
        ans += self.lusum[row2][col2]
        if row1 > 0:
            ans -= self.lusum[row1 - 1][col2]
        if col1 > 0:
            ans -= self.lusum[row2][col1 - 1]
        if row1 > 0 and col1 > 0:
            ans += self.lusum[row1 - 1][col1 - 1]
        return ans
<|end_body_1|>

Solution:
class NumMatrix:
    def __init__(self, matrix):
        """:type matrix: List[List[int]]"""
        if not matrix:
            return None
        self.lsum = []
        for i in range(len(matrix)):
            self.lsum.append([matrix[i][0]])
            for j in range(1, len(matrix[0])):
                self.lsum[i].append(self.lsum[i][-1] + matrix[i][j])
        self.lusum = [self.lsum[0]]
        for i in range(1, len(matrix)):
            self.lusum.append([])
            for j in range(len(matrix[0])):
                self.lusum[i].append(self.lsum[i][j] + self.lusum[i - 1][j])

    def sumRegion(self, row1, col1, row2, col2):
        """:type row1: int :type col1: int :type row2: int :type col2: int :rtype: int"""
        ans = 0
        ans += self.lusum[row2][col2]
        if row1 > 0:
            ans -= self.lusum[row1 - 1][col2]
        if col1 > 0:
            ans -= self.lusum[row2][col1 - 1]
        if row1 > 0 and col1 > 0:
            ans += self.lusum[row1 - 1][col1 - 1]
        return ans


moveZeroes

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

Class description:
Implement the Solution class.

Method signatures and docstrings:
- def moveZeroes(self, nums: List[int]) -> None: Do not return anything, modify nums in-place instead.
- def moveZeroes1(self, nums: List[int]) -> None: Do not return anything, modify nums in-place instead.

Implement the Python class `Solution` described below.

Class description:
Implement the Solution class.

Method signatures and docstrings:
- def moveZeroes(self, nums: List[int]) -> None: Do not return anything, modify nums in-place instead.
- def moveZeroes1(self, nums: List[int]) -> None: Do not return anything, modify nums in-place instead.

<|skeleton|>
class Solution:

    def moveZeroes(self, nums: List[int]) -> None:
        """Do not return anything, modify nums in-place instead."""
        <|body_0|>

    def moveZeroes1(self, nums: List[int]) -> None:
        """Do not return anything, modify nums in-place instead."""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        l, r, size = (0, 0, len(nums))
        while r < size:
            if nums[r] != 0:
                nums[l], nums[r] = (nums[r], nums[l])
                l += 1
            r += 1
        print(nums)
<|end_body_0|>

<|body_start_1|>
        size, l = (len(nums), 0)
        for i in range(0, size):
            if nums[i] != 0:
                nums[l] = nums[i]
                l += 1
        for i in range(l, size):
            nums[i] = 0
<|end_body_1|>

Solution:
class Solution:
    def moveZeroes(self, nums: List[int]) -> None:
        """Do not return anything, modify nums in-place instead."""
        l, r, size = (0, 0, len(nums))
        while r < size:
            if nums[r] != 0:
                nums[l], nums[r] = (nums[r], nums[l])
                l += 1
            r += 1
        print(nums)

    def moveZeroes1(self, nums: List[int]) -> None:
        """Do not return anything, modify nums in-place instead."""
        size, l = (len(nums), 0)
        for i in range(0, size):
            if nums[i] != 0:
                nums[l] = nums[i]
                l += 1
        for i in range(l, size):
            nums[i] = 0


create

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

Class description:
Implement the Batch class.

Method signatures and docstrings:
- def create(cls, name, on_weekdays, on_weekends, clazz, target_year, target_exam, type, other, batch_timings, institute_id): Create a new batch :param name: :param on_weekdays: :param on_weekends: :param clazz: :param target_year: :param target_exam: :param type: :param other: some text about batch :param batch_timings: string in the form ``h1:m1-h2:m2`` :param institute_id: :return:
- def get(cls, id): Get a single batch :param id: :return:
- def get_filtered(cls, days=None, type=None, target_year=None, target_exam=None, include_ids=None, institute_id=None, status=None, branches=None): Get a list of batches after applying filters :param days: :param type: :param target_year: :param target_exam: :param include_ids: :param institute_id: :param status: :param target_exam_list: :return:

Implement the Python class `Batch` described below.

Class description:
Implement the Batch class.

Method signatures and docstrings:
- def create(cls, name, on_weekdays, on_weekends, clazz, target_year, target_exam, type, other, batch_timings, institute_id): Create a new batch :param name: :param on_weekdays: :param on_weekends: :param clazz: :param target_year: :param target_exam: :param type: :param other: some text about batch :param batch_timings: string in the form ``h1:m1-h2:m2`` :param institute_id: :return:
- def get(cls, id): Get a single batch :param id: :return:
- def get_filtered(cls, days=None, type=None, target_year=None, target_exam=None, include_ids=None, institute_id=None, status=None, branches=None): Get a list of batches after applying filters :param days: :param type: :param target_year: :param target_exam: :param include_ids: :param institute_id: :param status: :param target_exam_list: :return:

<|skeleton|>
class Batch:

    def create(cls, name, on_weekdays, on_weekends, clazz, target_year, target_exam, type, other, batch_timings, institute_id):
        """Create a new batch :param name: :param on_weekdays: :param on_weekends: :param clazz: :param target_year: :param target_exam: :param type: :param other: some text about batch :param batch_timings: string in the form ``h1:m1-h2:m2`` :param institute_id: :return:"""
        <|body_0|>

    def get(cls, id):
        """Get a single batch :param id: :return:"""
        <|body_1|>

    def get_filtered(cls, days=None, type=None, target_year=None, target_exam=None, include_ids=None, institute_id=None, status=None, branches=None):
        """Get a list of batches after applying filters :param days: :param type: :param target_year: :param target_exam: :param include_ids: :param institute_id: :param status: :param target_exam_list: :return:"""
        <|body_2|>

<|end_skeleton|>

<|body_start_0|>
        batch = cls(name=name, on_weekdays=on_weekdays, on_weekends=on_weekends, clazz=clazz, target_year=target_year, target_exam=target_exam, type=type, other=other, batch_timings=batch_timings, institute_id=institute_id)
        db.session.add(batch)
        try:
            db.session.commit()
        except IntegrityError:
            db.session.rollback()
            raise BatchNameAlreadyTaken
        return batch
<|end_body_0|>

<|body_start_1|>
        batch = cls.query.get(id)
        if batch is None:
            raise InvalidBatchId
        return batch
<|end_body_1|>

<|body_start_2|>
        exprs = []
        if days is not None:
            if days == 'weekdays':
                exprs.append(Batch.on_weekdays == True)
            if days == 'weekends':
                exprs.append(Batch.on_weekends == True)
        if type is not None:
            exprs.append(Batch.type == type)
        if target_year is not None:
            exprs.append(Batch.target_year == target_year)
        if target_exam is not None:
            exprs.append(Batch.target_exam == target_exam)
        if institute_id is not None:
            exprs.append(Batch.institute_id == institute_id)
        if include_ids is not None and (isinstance(include_ids, list) or isinstance(include_ids, tuple) or isinstance(include_ids, set)):
            exprs.append(Batch.id.in_(list(include_ids)))
        if branches is not None and (isinstance(branches, list) or isinstance(branches, tuple) or isinstance(branches, set)):
            target_exam_list = []
            engineering_exams = ['1', '2', '3']
            medical_exams = ['4', '5']
            if '1' in branches:
                target_exam_list.extend(engineering_exams)
            if '2' in branches:
                target_exam_list.extend(medical_exams)
            exprs.append(Batch.target_exam.in_(list(target_exam_list)))
        if status is None:
            status = 1
        if status != -1:
            exprs.append(Batch.status == status)
        return Batch.query.filter(*exprs).order_by(Batch.created_at.desc()).all()
<|end_body_2|>

Solution:
class Batch:
    def create(cls, name, on_weekdays, on_weekends, clazz, target_year, target_exam, type, other, batch_timings, institute_id):
        """Create a new batch :param name: :param on_weekdays: :param on_weekends: :param clazz: :param target_year: :param target_exam: :param type: :param other: some text about batch :param batch_timings: string in the form ``h1:m1-h2:m2`` :param institute_id: :return:"""
        batch = cls(name=name, on_weekdays=on_weekdays, on_weekends=on_weekends, clazz=clazz, target_year=target_year, target_exam=target_exam, type=type, other=other, batch_timings=batch_timings, institute_id=institute_id)
        db.session.add(batch)
        try:
            db.session.commit()
        except IntegrityError:
            db.session.rollback()
            raise BatchNameAlreadyTaken
        return batch

    def get(cls, id):
        """Get a single batch :param id: :return:"""
        batch = cls.query.get(id)
        if batch is None:
            raise InvalidBatchId
        return batch

    def get_filtered(cls, days=None, type=None, target_year=None, target_exam=None, include_ids=None, institute_id=None, status=None, branches=None):
        """Get a list of batches after applying filters :param days: :param type: :param target_year: :param target_exam: :param include_ids: :param institute_id: :param status: :param target_exam_list: :return:"""
        exprs = []
        if days is not None:
            if days == 'weekdays':
                exprs.append(Batch.on_weekdays == True)
            if days == 'weekends':
                exprs.append(Batch.on_weekends == True)
        if type is not None:
            exprs.append(Batch.type == type)
        if target_year is not None:
            exprs.append(Batch.target_year == target_year)
        if target_exam is not None:
            exprs.append(Batch.target_exam == target_exam)
        if institute_id is not None:
            exprs.append(Batch.institute_id == institute_id)
        if include_ids is not None and (isinstance(include_ids, list) or isinstance(include_ids, tuple) or isinstance(include_ids, set)):
            exprs.append(Batch.id.in_(list(include_ids)))
        if branches is not None and (isinstance(branches, list) or isinstance(branches, tuple) or isinstance(branches, set)):
            target_exam_list = []
            engineering_exams = ['1', '2', '3']
            medical_exams = ['4', '5']
            if '1' in branches:
                target_exam_list.extend(engineering_exams)
            if '2' in branches:
                target_exam_list.extend(medical_exams)
            exprs.append(Batch.target_exam.in_(list(target_exam_list)))
        if status is None:
            status = 1
        if status != -1:
            exprs.append(Batch.status == status)
        return Batch.query.filter(*exprs).order_by(Batch.created_at.desc()).all()


emulate

Prompt:
Implement the Python class `DefCamp2015` described below.

Class description:
Test for DefCamp2015 challenge.

Method signatures and docstrings:
- def emulate(self, pc): Emulate every opcode from pc. * Process instruction until the end and search for constraint resolution on cmp eax, 1 then self.Triton.set the new correct value and keep going.
- def load_binary(self, filename): Load in memory every opcode from an elf program.
- def test_defcamp_2015(self): Load binary, self.Triton.setup environment and solve challenge with sym eval.

Implement the Python class `DefCamp2015` described below.

Class description:
Test for DefCamp2015 challenge.

Method signatures and docstrings:
- def emulate(self, pc): Emulate every opcode from pc. * Process instruction until the end and search for constraint resolution on cmp eax, 1 then self.Triton.set the new correct value and keep going.
- def load_binary(self, filename): Load in memory every opcode from an elf program.
- def test_defcamp_2015(self): Load binary, self.Triton.setup environment and solve challenge with sym eval.

<|skeleton|>
class DefCamp2015:
    """Test for DefCamp2015 challenge."""

    def emulate(self, pc):
        """Emulate every opcode from pc. * Process instruction until the end and search for constraint resolution on cmp eax, 1 then self.Triton.set the new correct value and keep going."""
        <|body_0|>

    def load_binary(self, filename):
        """Load in memory every opcode from an elf program."""
        <|body_1|>

    def test_defcamp_2015(self):
        """Load binary, self.Triton.setup environment and solve challenge with sym eval."""
        <|body_2|>

<|end_skeleton|>

<|body_start_0|>
        astCtxt = self.Triton.getAstContext()
        while pc:
            opcode = self.Triton.getConcreteMemoryAreaValue(pc, 16)
            instruction = Instruction()
            instruction.setOpcode(opcode)
            instruction.setAddress(pc)
            self.Triton.processing(instruction)
            self.assertTrue(checkAstIntegrity(instruction))
            if instruction.getAddress() == 4196235:
                rax = self.Triton.getSymbolicRegister(self.Triton.registers.rax)
                eax = astCtxt.extract(31, 0, rax.getAst())
                cstr = astCtxt.land([self.Triton.getPathPredicate(), astCtxt.equal(eax, astCtxt.bv(1, 32))])
                model = self.Triton.getModel(cstr)
                solution = str()
                for k, v in list(sorted(model.items())):
                    value = v.getValue()
                    solution += chr(value)
                    self.Triton.setConcreteVariableValue(self.Triton.getSymbolicVariable(k), value)
            pc = self.Triton.getConcreteRegisterValue(self.Triton.registers.rip)
        return solution
<|end_body_0|>

<|body_start_1|>
        import lief
        binary = lief.parse(filename)
        phdrs = binary.segments
        for phdr in phdrs:
            size = phdr.physical_size
            vaddr = phdr.virtual_address
            self.Triton.setConcreteMemoryAreaValue(vaddr, list(phdr.content))
<|end_body_1|>

<|body_start_2|>
        binary_file = os.path.join(os.path.dirname(__file__), 'misc', 'defcamp-2015-r100.bin')
        self.load_binary(binary_file)
        self.Triton.setConcreteRegisterValue(self.Triton.registers.rbp, 2147483647)
        self.Triton.setConcreteRegisterValue(self.Triton.registers.rsp, 1879048191)
        self.Triton.setConcreteRegisterValue(self.Triton.registers.rdi, 268435456)
        for index in range(30):
            self.Triton.symbolizeMemory(MemoryAccess(268435456 + index, CPUSIZE.BYTE))
        solution = self.emulate(4196093)
        self.assertEqual(solution, 'Code_Talkers')
<|end_body_2|>

Solution:
class DefCamp2015:
    """Test for DefCamp2015 challenge."""

    def emulate(self, pc):
        """Emulate every opcode from pc. * Process instruction until the end and search for constraint resolution on cmp eax, 1 then self.Triton.set the new correct value and keep going."""
        astCtxt = self.Triton.getAstContext()
        while pc:
            opcode = self.Triton.getConcreteMemoryAreaValue(pc, 16)
            instruction = Instruction()
            instruction.setOpcode(opcode)
            instruction.setAddress(pc)
            self.Triton.processing(instruction)
            self.assertTrue(checkAstIntegrity(instruction))
            if instruction.getAddress() == 4196235:
                rax = self.Triton.getSymbolicRegister(self.Triton.registers.rax)
                eax = astCtxt.extract(31, 0, rax.getAst())
                cstr = astCtxt.land([self.Triton.getPathPredicate(), astCtxt.equal(eax, astCtxt.bv(1, 32))])
                model = self.Triton.getModel(cstr)
                solution = str()
                for k, v in list(sorted(model.items())):
                    value = v.getValue()
                    solution += chr(value)
                    self.Triton.setConcreteVariableValue(self.Triton.getSymbolicVariable(k), value)
            pc = self.Triton.getConcreteRegisterValue(self.Triton.registers.rip)
        return solution

    def load_binary(self, filename):
        """Load in memory every opcode from an elf program."""
        import lief
        binary = lief.parse(filename)
        phdrs = binary.segments
        for phdr in phdrs:
            size = phdr.physical_size
            vaddr = phdr.virtual_address
            self.Triton.setConcreteMemoryAreaValue(vaddr, list(phdr.content))

    def test_defcamp_2015(self):
        """Load binary, self.Triton.setup environment and solve challenge with sym eval."""
        binary_file = os.path.join(os.path.dirname(__file__), 'misc', 'defcamp-2015-r100.bin')
        self.load_binary(binary_file)
        self.Triton.setConcreteRegisterValue(self.Triton.registers.rbp, 2147483647)
        self.Triton.setConcreteRegisterValue(self.Triton.registers.rsp, 1879048191)
        self.Triton.setConcreteRegisterValue(self.Triton.registers.rdi, 268435456)
        for index in range(30):
            self.Triton.symbolizeMemory(MemoryAccess(268435456 + index, CPUSIZE.BYTE))
        solution = self.emulate(4196093)
        self.assertEqual(solution, 'Code_Talkers')


removeElements

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

Class description:
Implement the Solution class.

Method signatures and docstrings:
- def removeElements(self, head: ListNode, val: int) -> ListNode: 注意: 1. head为空时 2. 全部删除时 3. ListNode类有默认值 :param head: :param val: :return:
- def removeElements2(self, head: ListNode, val: int) -> ListNode: listnode加一个头结点! a->b->c 0->a->b->c :param head: :param val: :return:

Implement the Python class `Solution` described below.

Class description:
Implement the Solution class.

Method signatures and docstrings:
- def removeElements(self, head: ListNode, val: int) -> ListNode: 注意: 1. head为空时 2. 全部删除时 3. ListNode类有默认值 :param head: :param val: :return:
- def removeElements2(self, head: ListNode, val: int) -> ListNode: listnode加一个头结点! a->b->c 0->a->b->c :param head: :param val: :return:

<|skeleton|>
class Solution:

    def removeElements(self, head: ListNode, val: int) -> ListNode:
        """注意: 1. head为空时 2. 全部删除时 3. ListNode类有默认值 :param head: :param val: :return:"""
        <|body_0|>

    def removeElements2(self, head: ListNode, val: int) -> ListNode:
        """listnode加一个头结点! a->b->c 0->a->b->c :param head: :param val: :return:"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        def del_element(node):
            """
                    A -> B -> C -> ...
                    :param node: A
                    :param val: B.val
                    :return: A->C->..
                    """
            tmp_node = node.next.next
            del node.next
            node.next = tmp_node
            return node
        while head and head.val == val:
            head = head.next
        if not head:
            return head
        node = head
        while node:
            if not node.next:
                break
            elif node.next.val == val:
                node = del_element(node)
            else:
                node = node.next
        return head
<|end_body_0|>

<|body_start_1|>
        dump_node = ListNode()
        dump_node.next = head
        tmp_node = dump_node
        while tmp_node.next:
            if tmp_node.next.val == val:
                tmp_node.next = tmp_node.next.next
            else:
                tmp_node = tmp_node.next
        return dump_node.next
<|end_body_1|>

Solution:
class Solution:
    def removeElements(self, head: ListNode, val: int) -> ListNode:
        """注意: 1. head为空时 2. 全部删除时 3. ListNode类有默认值 :param head: :param val: :return:"""
        def del_element(node):
            """
                    A -> B -> C -> ...
                    :param node: A
                    :param val: B.val
                    :return: A->C->..
                    """
            tmp_node = node.next.next
            del node.next
            node.next = tmp_node
            return node
        while head and head.val == val:
            head = head.next
        if not head:
            return head
        node = head
        while node:
            if not node.next:
                break
            elif node.next.val == val:
                node = del_element(node)
            else:
                node = node.next
        return head

    def removeElements2(self, head: ListNode, val: int) -> ListNode:
        """listnode加一个头结点! a->b->c 0->a->b->c :param head: :param val: :return:"""
        dump_node = ListNode()
        dump_node.next = head
        tmp_node = dump_node
        while tmp_node.next:
            if tmp_node.next.val == val:
                tmp_node.next = tmp_node.next.next
            else:
                tmp_node = tmp_node.next
        return dump_node.next


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

Class description:
Implement the CommentLike class.

Method signatures and docstrings:
- def add_comment_like(comment_id=0, user_id=0): 增加一条点赞记录
- def user_liked(comment_id=0, user_id=0): 查询某人是否点赞了评论

Implement the Python class `CommentLike` described below.

Class description:
Implement the CommentLike class.

Method signatures and docstrings:
- def add_comment_like(comment_id=0, user_id=0): 增加一条点赞记录
- def user_liked(comment_id=0, user_id=0): 查询某人是否点赞了评论

<|skeleton|>
class CommentLike:

    def add_comment_like(comment_id=0, user_id=0):
        """增加一条点赞记录"""
        <|body_0|>

    def user_liked(comment_id=0, user_id=0):
        """查询某人是否点赞了评论"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        like = CommentLike(comment_id=comment_id, user_id=user_id, status=1)
        like.save()
        return like
<|end_body_0|>

<|body_start_1|>
        try:
            like = CommentLike.objects.filter(status=1).get(comment_id=comment_id, user_id=user_id)
            return like
        except CommentLike.DoesNotExist:
            return None
<|end_body_1|>

Solution:
class CommentLike:
    def add_comment_like(comment_id=0, user_id=0):
        """增加一条点赞记录"""
        like = CommentLike(comment_id=comment_id, user_id=user_id, status=1)
        like.save()
        return like

    def user_liked(comment_id=0, user_id=0):
        """查询某人是否点赞了评论"""
        try:
            like = CommentLike.objects.filter(status=1).get(comment_id=comment_id, user_id=user_id)
            return like
        except CommentLike.DoesNotExist:
            return None


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

Class description:
An array element of XYType.

Method signatures and docstrings:
- def __init__(self, X=None, Y=None, index=None, **kwargs): Parameters ---------- X : float Y : float index : int kwargs
- def from_array(cls, array, index=1): Create from an array type entry. Parameters ---------- array: numpy.ndarray|list|tuple assumed [X, Y] index : int array index Returns ------- XYVertexType

Implement the Python class `XYVertexType` described below.

Class description:
An array element of XYType.

Method signatures and docstrings:
- def __init__(self, X=None, Y=None, index=None, **kwargs): Parameters ---------- X : float Y : float index : int kwargs
- def from_array(cls, array, index=1): Create from an array type entry. Parameters ---------- array: numpy.ndarray|list|tuple assumed [X, Y] index : int array index Returns ------- XYVertexType

<|skeleton|>
class XYVertexType:
    """An array element of XYType."""

    def __init__(self, X=None, Y=None, index=None, **kwargs):
        """Parameters ---------- X : float Y : float index : int kwargs"""
        <|body_0|>

    def from_array(cls, array, index=1):
        """Create from an array type entry. Parameters ---------- array: numpy.ndarray|list|tuple assumed [X, Y] index : int array index Returns ------- XYVertexType"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        if '_xml_ns' in kwargs:
            self._xml_ns = kwargs['_xml_ns']
        if '_xml_ns_key' in kwargs:
            self._xml_ns_key = kwargs['_xml_ns_key']
        self.index = index
        super(XYVertexType, self).__init__(X=X, Y=Y, **kwargs)
<|end_body_0|>

<|body_start_1|>
        if array is None:
            return None
        if isinstance(array, (numpy.ndarray, list, tuple)):
            if len(array) < 2:
                raise ValueError(_len2_array_text.format(array))
            return cls(X=array[0], Y=array[1], index=index)
        raise ValueError(_array_type_text.format(type(array)))
<|end_body_1|>

Solution:
class XYVertexType:
    """An array element of XYType."""

    def __init__(self, X=None, Y=None, index=None, **kwargs):
        """Parameters ---------- X : float Y : float index : int kwargs"""
        if '_xml_ns' in kwargs:
            self._xml_ns = kwargs['_xml_ns']
        if '_xml_ns_key' in kwargs:
            self._xml_ns_key = kwargs['_xml_ns_key']
        self.index = index
        super(XYVertexType, self).__init__(X=X, Y=Y, **kwargs)

    def from_array(cls, array, index=1):
        """Create from an array type entry. Parameters ---------- array: numpy.ndarray|list|tuple assumed [X, Y] index : int array index Returns ------- XYVertexType"""
        if array is None:
            return None
        if isinstance(array, (numpy.ndarray, list, tuple)):
            if len(array) < 2:
                raise ValueError(_len2_array_text.format(array))
            return cls(X=array[0], Y=array[1], index=index)
        raise ValueError(_array_type_text.format(type(array)))


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

Class description:
Test the linux client utils.

Method signatures and docstrings:
- def testLinuxGetRawDevice(self): Test the parser for linux mounts.
- def testLinuxTransactionLog(self): Tests the linux transaction log.

Implement the Python class `ClientUtilsLinuxTest` described below.

Class description:
Test the linux client utils.

Method signatures and docstrings:
- def testLinuxGetRawDevice(self): Test the parser for linux mounts.
- def testLinuxTransactionLog(self): Tests the linux transaction log.

<|skeleton|>
class ClientUtilsLinuxTest:
    """Test the linux client utils."""

    def testLinuxGetRawDevice(self):
        """Test the parser for linux mounts."""
        <|body_0|>

    def testLinuxTransactionLog(self):
        """Tests the linux transaction log."""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        proc_mounts = 'rootfs / rootfs rw 0 0\nnone /sys sysfs rw,nosuid,nodev,noexec,relatime 0 0\nnone /proc proc rw,nosuid,nodev,noexec,relatime 0 0\nnone /dev devtmpfs rw,relatime,size=4056920k,nr_inodes=1014230,mode=755 0 0\nnone /dev/pts devpts rw,nosuid,noexec,relatime,gid=5,mode=620,ptmxmode=000 0 0\n/dev/mapper/root / ext4 rw,relatime,errors=remount-ro,barrier=1,data=ordered 0 0\nnone /sys/fs/fuse/connections fusectl rw,relatime 0 0\nnone /sys/kernel/debug debugfs rw,relatime 0 0\nnone /sys/kernel/security securityfs rw,relatime 0 0\nnone /dev/shm tmpfs rw,nosuid,nodev,relatime 0 0\nnone /var/run tmpfs rw,nosuid,relatime 0 0\nnone /var/lock tmpfs rw,nosuid,nodev,noexec,relatime 0 0\nnone /lib/init/rw tmpfs rw,nosuid,relatime,mode=755 0 0\n/dev/sda1 /boot ext2 rw,relatime,errors=continue 0 0\n/dev/mapper/usr /usr/local/ ext4 rw,relatime,barrier=1,data=writeback 0 0\nbinfmt_misc /proc/sys/fs/binfmt_misc binfmt_misc rw,nosuid,relatime 0 0\nserver.nfs:/vol/home /home/user nfs rw,nosuid,relatime 0 0\n'
        with contextlib.ExitStack() as stack:
            stack.enter_context(mock.patch.object(client_utils_linux, 'MOUNTPOINT_CACHE', new=[0, None]))
            mountpoints = client_utils_linux.GetMountpoints(proc_mounts)
            stack.enter_context(mock.patch.object(client_utils_linux, 'GetMountpoints', return_value=mountpoints))
            for filename, expected_device, expected_path, device_type in [('/etc/passwd', '/dev/mapper/root', '/etc/passwd', rdf_paths.PathSpec.PathType.OS), ('/usr/local/bin/ls', '/dev/mapper/usr', '/bin/ls', rdf_paths.PathSpec.PathType.OS), ('/proc/net/sys', 'none', '/net/sys', rdf_paths.PathSpec.PathType.UNSET), ('/home/user/test.txt', 'server.nfs:/vol/home', '/test.txt', rdf_paths.PathSpec.PathType.UNSET)]:
                raw_pathspec, path = client_utils_linux.GetRawDevice(filename)
                self.assertEqual(expected_device, raw_pathspec.path)
                self.assertEqual(device_type, raw_pathspec.pathtype)
                self.assertEqual(expected_path, path)
<|end_body_0|>

<|body_start_1|>
        with tempfile.NamedTemporaryFile() as fd:
            log = client_utils_linux.TransactionLog(logfile=fd.name)
            grr_message = rdf_flows.GrrMessage(session_id='W:test')
            log.Write(grr_message)
            self.assertEqual(grr_message, log.Get())
            log.Clear()
            self.assertIsNone(log.Get())
<|end_body_1|>

Solution:
class ClientUtilsLinuxTest:
    """Test the linux client utils."""

    def testLinuxGetRawDevice(self):
        """Test the parser for linux mounts."""
        proc_mounts = 'rootfs / rootfs rw 0 0\nnone /sys sysfs rw,nosuid,nodev,noexec,relatime 0 0\nnone /proc proc rw,nosuid,nodev,noexec,relatime 0 0\nnone /dev devtmpfs rw,relatime,size=4056920k,nr_inodes=1014230,mode=755 0 0\nnone /dev/pts devpts rw,nosuid,noexec,relatime,gid=5,mode=620,ptmxmode=000 0 0\n/dev/mapper/root / ext4 rw,relatime,errors=remount-ro,barrier=1,data=ordered 0 0\nnone /sys/fs/fuse/connections fusectl rw,relatime 0 0\nnone /sys/kernel/debug debugfs rw,relatime 0 0\nnone /sys/kernel/security securityfs rw,relatime 0 0\nnone /dev/shm tmpfs rw,nosuid,nodev,relatime 0 0\nnone /var/run tmpfs rw,nosuid,relatime 0 0\nnone /var/lock tmpfs rw,nosuid,nodev,noexec,relatime 0 0\nnone /lib/init/rw tmpfs rw,nosuid,relatime,mode=755 0 0\n/dev/sda1 /boot ext2 rw,relatime,errors=continue 0 0\n/dev/mapper/usr /usr/local/ ext4 rw,relatime,barrier=1,data=writeback 0 0\nbinfmt_misc /proc/sys/fs/binfmt_misc binfmt_misc rw,nosuid,relatime 0 0\nserver.nfs:/vol/home /home/user nfs rw,nosuid,relatime 0 0\n'
        with contextlib.ExitStack() as stack:
            stack.enter_context(mock.patch.object(client_utils_linux, 'MOUNTPOINT_CACHE', new=[0, None]))
            mountpoints = client_utils_linux.GetMountpoints(proc_mounts)
            stack.enter_context(mock.patch.object(client_utils_linux, 'GetMountpoints', return_value=mountpoints))
            for filename, expected_device, expected_path, device_type in [('/etc/passwd', '/dev/mapper/root', '/etc/passwd', rdf_paths.PathSpec.PathType.OS), ('/usr/local/bin/ls', '/dev/mapper/usr', '/bin/ls', rdf_paths.PathSpec.PathType.OS), ('/proc/net/sys', 'none', '/net/sys', rdf_paths.PathSpec.PathType.UNSET), ('/home/user/test.txt', 'server.nfs:/vol/home', '/test.txt', rdf_paths.PathSpec.PathType.UNSET)]:
                raw_pathspec, path = client_utils_linux.GetRawDevice(filename)
                self.assertEqual(expected_device, raw_pathspec.path)
                self.assertEqual(device_type, raw_pathspec.pathtype)
                self.assertEqual(expected_path, path)

    def testLinuxTransactionLog(self):
        """Tests the linux transaction log."""
        with tempfile.NamedTemporaryFile() as fd:
            log = client_utils_linux.TransactionLog(logfile=fd.name)
            grr_message = rdf_flows.GrrMessage(session_id='W:test')
            log.Write(grr_message)
            self.assertEqual(grr_message, log.Get())
            log.Clear()
            self.assertIsNone(log.Get())


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

Class description:
Embeddings from a pretrained language model. Stateful wrapper around get_embed_fn that calls the embed_fn on batches.

Method signatures and docstrings:
- def __init__(self, model=None, checkpoint_dir=None, domain=None, output_head='output_emb', reduce_fn=None, length=None, batch_size=64): Creates an instance of this class.
- def __call__(self, sequences): Embeds int or string sequences.

Implement the Python class `ProteinLMEmbedder` described below.

Class description:
Embeddings from a pretrained language model. Stateful wrapper around get_embed_fn that calls the embed_fn on batches.

Method signatures and docstrings:
- def __init__(self, model=None, checkpoint_dir=None, domain=None, output_head='output_emb', reduce_fn=None, length=None, batch_size=64): Creates an instance of this class.
- def __call__(self, sequences): Embeds int or string sequences.

<|skeleton|>
class ProteinLMEmbedder:
    """Embeddings from a pretrained language model. Stateful wrapper around get_embed_fn that calls the embed_fn on batches."""

    def __init__(self, model=None, checkpoint_dir=None, domain=None, output_head='output_emb', reduce_fn=None, length=None, batch_size=64):
        """Creates an instance of this class."""
        <|body_0|>

    def __call__(self, sequences):
        """Embeds int or string sequences."""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        self._embed_fn = get_embed_fn(model=model, checkpoint_dir=checkpoint_dir, domain=domain, output_head=output_head, reduce_fn=reduce_fn)
        self._batch_size = batch_size
        self._domain = domain
        self._length = length
<|end_body_0|>

<|body_start_1|>
        if isinstance(sequences[0], str):
            sequences = _encode_string_sequences(sequences, domain=self._domain, length=self._length)
        return utils.batch_apply(self._embed_fn, sequences, self._batch_size)
<|end_body_1|>

Solution:
class ProteinLMEmbedder:
    """Embeddings from a pretrained language model. Stateful wrapper around get_embed_fn that calls the embed_fn on batches."""

    def __init__(self, model=None, checkpoint_dir=None, domain=None, output_head='output_emb', reduce_fn=None, length=None, batch_size=64):
        """Creates an instance of this class."""
        self._embed_fn = get_embed_fn(model=model, checkpoint_dir=checkpoint_dir, domain=domain, output_head=output_head, reduce_fn=reduce_fn)
        self._batch_size = batch_size
        self._domain = domain
        self._length = length

    def __call__(self, sequences):
        """Embeds int or string sequences."""
        if isinstance(sequences[0], str):
            sequences = _encode_string_sequences(sequences, domain=self._domain, length=self._length)
        return utils.batch_apply(self._embed_fn, sequences, self._batch_size)


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

Class description:
Test the process method

Method signatures and docstrings:
- def test_basic(self): Test output is float32 cube with float32 coordinates
- def test_unmatched_coords(self): Test error thrown if input variable cubes do not match
- def test_extra_dimensions(self): Test error thrown if input variable cubes have an extra dimension
- def test_inputs_unmodified(self): Test the process method does not modify any of the input cubes
- def test_values(self): Test values of output

Implement the Python class `Test_process` described below.

Class description:
Test the process method

Method signatures and docstrings:
- def test_basic(self): Test output is float32 cube with float32 coordinates
- def test_unmatched_coords(self): Test error thrown if input variable cubes do not match
- def test_extra_dimensions(self): Test error thrown if input variable cubes have an extra dimension
- def test_inputs_unmodified(self): Test the process method does not modify any of the input cubes
- def test_values(self): Test values of output

<|skeleton|>
class Test_process:
    """Test the process method"""

    def test_basic(self):
        """Test output is float32 cube with float32 coordinates"""
        <|body_0|>

    def test_unmatched_coords(self):
        """Test error thrown if input variable cubes do not match"""
        <|body_1|>

    def test_extra_dimensions(self):
        """Test error thrown if input variable cubes have an extra dimension"""
        <|body_2|>

    def test_inputs_unmodified(self):
        """Test the process method does not modify any of the input cubes"""
        <|body_3|>

    def test_values(self):
        """Test values of output"""
        <|body_4|>

<|end_skeleton|>

<|body_start_0|>
        orogenh = self.plugin.process(self.temperature, self.humidity, self.pressure, self.uwind, self.vwind, self.orography_cube)
        self.assertIsInstance(orogenh, iris.cube.Cube)
        self.assertEqual(orogenh.data.dtype, 'float32')
        for coord in orogenh.coords(dim_coords=True):
            self.assertEqual(coord.points.dtype, 'float32')
<|end_body_0|>

<|body_start_1|>
        self.temperature.coord('forecast_reference_time').points = self.temperature.coord('forecast_reference_time').points - 3600
        self.temperature.coord('forecast_period').points = self.temperature.coord('forecast_period').points - 3600
        msg = 'Input cube coordinates'
        with self.assertRaisesRegex(ValueError, msg):
            _ = self.plugin.process(self.temperature, self.humidity, self.pressure, self.uwind, self.vwind, self.orography_cube)
<|end_body_1|>

<|body_start_2|>
        temperature = set_up_invalid_variable_cube(self.temperature)
        humidity = set_up_invalid_variable_cube(self.humidity)
        pressure = set_up_invalid_variable_cube(self.pressure)
        uwind = set_up_invalid_variable_cube(self.uwind)
        vwind = set_up_invalid_variable_cube(self.vwind)
        msg = 'Require 2D fields as input; found 3 dimensions'
        with self.assertRaisesRegex(ValueError, msg):
            _ = self.plugin.process(temperature, humidity, pressure, uwind, vwind, self.orography_cube)
<|end_body_2|>

<|body_start_3|>
        cube_list = [self.temperature, self.humidity, self.pressure, self.uwind, self.vwind, self.orography_cube]
        copied_cubes = []
        for cube in cube_list:
            copied_cubes.append(cube.copy())
        _ = self.plugin.process(self.temperature, self.humidity, self.pressure, self.uwind, self.vwind, self.orography_cube)
        for cube, copy in zip(cube_list, copied_cubes):
            self.assertArrayAlmostEqual(cube.data, copy.data)
            self.assertEqual(cube.metadata, copy.metadata)
<|end_body_3|>

<|body_start_4|>
        expected_data = np.array([[2.6524199e-07, 3.4075157e-07, 2.5099993e-07, 9.1911055e-08, 1.748189e-08, 1.5676112e-09], [1.6797775e-07, 2.4365076e-07, 1.7639361e-07, 9.1911055e-08, 1.748189e-08, 1.5676112e-09], [4.1531862e-08, 4.1531862e-08, 8.9591637e-08, 2.8731334e-08, 5.3441389e-09, 1.5676112e-09], [8.571111e-10, 8.571111e-10, 8.571111e-10, 8.571111e-10, 2.1291666e-09, 2.4547223e-10]], dtype=np.float32)
        orogenh = self.plugin.process(self.temperature, self.humidity, self.pressure, self.uwind, self.vwind, self.orography_cube)
        self.assertArrayAlmostEqual(orogenh.data, expected_data)
        self.assertAlmostEqual(self.plugin.grid_spacing_km, 1.0)
<|end_body_4|>

Solution:
class Test_process:
    """Test the process method"""

    def test_basic(self):
        """Test output is float32 cube with float32 coordinates"""
        orogenh = self.plugin.process(self.temperature, self.humidity, self.pressure, self.uwind, self.vwind, self.orography_cube)
        self.assertIsInstance(orogenh, iris.cube.Cube)
        self.assertEqual(orogenh.data.dtype, 'float32')
        for coord in orogenh.coords(dim_coords=True):
            self.assertEqual(coord.points.dtype, 'float32')

    def test_unmatched_coords(self):
        """Test error thrown if input variable cubes do not match"""
        self.temperature.coord('forecast_reference_time').points = self.temperature.coord('forecast_reference_time').points - 3600
        self.temperature.coord('forecast_period').points = self.temperature.coord('forecast_period').points - 3600
        msg = 'Input cube coordinates'
        with self.assertRaisesRegex(ValueError, msg):
            _ = self.plugin.process(self.temperature, self.humidity, self.pressure, self.uwind, self.vwind, self.orography_cube)

    def test_extra_dimensions(self):
        """Test error thrown if input variable cubes have an extra dimension"""
        temperature = set_up_invalid_variable_cube(self.temperature)
        humidity = set_up_invalid_variable_cube(self.humidity)
        pressure = set_up_invalid_variable_cube(self.pressure)
        uwind = set_up_invalid_variable_cube(self.uwind)
        vwind = set_up_invalid_variable_cube(self.vwind)
        msg = 'Require 2D fields as input; found 3 dimensions'
        with self.assertRaisesRegex(ValueError, msg):
            _ = self.plugin.process(temperature, humidity, pressure, uwind, vwind, self.orography_cube)

    def test_inputs_unmodified(self):
        """Test the process method does not modify any of the input cubes"""
        cube_list = [self.temperature, self.humidity, self.pressure, self.uwind, self.vwind, self.orography_cube]
        copied_cubes = []
        for cube in cube_list:
            copied_cubes.append(cube.copy())
        _ = self.plugin.process(self.temperature, self.humidity, self.pressure, self.uwind, self.vwind, self.orography_cube)
        for cube, copy in zip(cube_list, copied_cubes):
            self.assertArrayAlmostEqual(cube.data, copy.data)
            self.assertEqual(cube.metadata, copy.metadata)

    def test_values(self):
        """Test values of output"""
        expected_data = np.array([[2.6524199e-07, 3.4075157e-07, 2.5099993e-07, 9.1911055e-08, 1.748189e-08, 1.5676112e-09], [1.6797775e-07, 2.4365076e-07, 1.7639361e-07, 9.1911055e-08, 1.748189e-08, 1.5676112e-09], [4.1531862e-08, 4.1531862e-08, 8.9591637e-08, 2.8731334e-08, 5.3441389e-09, 1.5676112e-09], [8.571111e-10, 8.571111e-10, 8.571111e-10, 8.571111e-10, 2.1291666e-09, 2.4547223e-10]], dtype=np.float32)
        orogenh = self.plugin.process(self.temperature, self.humidity, self.pressure, self.uwind, self.vwind, self.orography_cube)
        self.assertArrayAlmostEqual(orogenh.data, expected_data)
        self.assertAlmostEqual(self.plugin.grid_spacing_km, 1.0)