put

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

Class description:
Implement the HelpWantedView class.

Method signatures and docstrings:
- def get(self, request, owner, repo, token_auth): returns help wanted issue rate
- def post(self, request, owner, repo, token_auth): Create help wanted object
- def put(self, request, owner, repo, token_auth): Update help hanted object
- def get_total_helpwanted(self, url, token_auth): returns the number of all issues and the issues with help wanted label

Implement the Python class `HelpWantedView` described below.

Class description:
Implement the HelpWantedView class.

Method signatures and docstrings:
- def get(self, request, owner, repo, token_auth): returns help wanted issue rate
- def post(self, request, owner, repo, token_auth): Create help wanted object
- def put(self, request, owner, repo, token_auth): Update help hanted object
- def get_total_helpwanted(self, url, token_auth): returns the number of all issues and the issues with help wanted label

<|skeleton|>
class HelpWantedView:

    def get(self, request, owner, repo, token_auth):
        """returns help wanted issue rate"""
        <|body_0|>

    def post(self, request, owner, repo, token_auth):
        """Create help wanted object"""
        <|body_1|>

    def put(self, request, owner, repo, token_auth):
        """Update help hanted object"""
        <|body_2|>

    def get_total_helpwanted(self, url, token_auth):
        """returns the number of all issues and the issues with help wanted label"""
        <|body_3|>

<|end_skeleton|>

<|body_start_0|>
        help_wanted = HelpWanted.objects.get(owner=owner, repo=repo)
        serializer = HelpWantedSerializer(help_wanted)
        return Response(serializer.data, status=status.HTTP_200_OK)
<|end_body_0|>

<|body_start_1|>
        data = HelpWanted.objects.filter(owner=owner, repo=repo)
        if data:
            serializer = HelpWantedSerializer(data[0])
            return Response(serializer.data, status=status.HTTP_200_OK)
        url = '{0}{1}/{2}'.format(constants.MAIN_URL, owner, repo)
        total_issues, help_wanted_issues = self.get_total_helpwanted(url, token_auth)
        if total_issues == 0:
            rate = 0
        else:
            rate = help_wanted_issues / total_issues
        data = HelpWanted.objects.create(owner=owner, repo=repo, total_issues=total_issues, help_wanted_issues=help_wanted_issues, help_wanted_rate=rate, help_wanted_max_rate=constants.HELP_WANTED_MAX_RATE)
        serializer = HelpWantedSerializer(data)
        return Response(serializer.data, status=status.HTTP_201_CREATED)
<|end_body_1|>

<|body_start_2|>
        url = '{0}{1}/{2}'.format(constants.MAIN_URL, owner, repo)
        total_issues, help_wanted_issues = self.get_total_helpwanted(url, token_auth)
        if total_issues == 0:
            rate = 0
        else:
            rate = help_wanted_issues / total_issues
        data = HelpWanted.objects.get(owner=owner, repo=repo)
        data.total_issues = total_issues
        data.help_wanted_issues = help_wanted_issues
        data.help_wanted_rate = rate
        data.help_wanted_max_rate = constants.HELP_WANTED_MAX_RATE
        data.save()
        serializer = HelpWantedSerializer(data)
        return Response(serializer.data, status=status.HTTP_200_OK)
<|end_body_2|>

<|body_start_3|>
        username = os.environ['NAME']
        token = os.environ['TOKEN']
        total_issues = 0
        help_wanted_issues = 0
        info_repo = requests.get(url, headers={'Authorization': 'token ' + token_auth}).json()
        total_issues = info_repo['open_issues_count']
        page = '&page=1'
        label_url = url + constants.LABEL_HELP_ESPACE_WANTED
        result = requests.get(label_url + page, headers={'Authorization': 'token ' + token_auth}).json()
        '\n        checks possibilities for different aliases of help wanted\n        '
        if result:
            help_wanted_issues = count_all_label(label_url, result, token_auth)
        else:
            label_url = url + constants.LABEL_HELPWANTED
            result = requests.get(label_url + page, headers={'Authorization': 'token ' + token_auth}).json()
            if result:
                help_wanted_issues = count_all_label(label_url, result, token_auth)
            else:
                label_url = url + constants.LABEL_HELP_WANTED
                result = requests.get(label_url + page, headers={'Authorization': 'token ' + token_auth}).json()
                if result:
                    help_wanted_issues = count_all_label(label_url, result, token_auth)
        return (total_issues, help_wanted_issues)
<|end_body_3|>

Solution:
class HelpWantedView:
    def get(self, request, owner, repo, token_auth):
        """returns help wanted issue rate"""
        help_wanted = HelpWanted.objects.get(owner=owner, repo=repo)
        serializer = HelpWantedSerializer(help_wanted)
        return Response(serializer.data, status=status.HTTP_200_OK)

    def post(self, request, owner, repo, token_auth):
        """Create help wanted object"""
        data = HelpWanted.objects.filter(owner=owner, repo=repo)
        if data:
            serializer = HelpWantedSerializer(data[0])
            return Response(serializer.data, status=status.HTTP_200_OK)
        url = '{0}{1}/{2}'.format(constants.MAIN_URL, owner, repo)
        total_issues, help_wanted_issues = self.get_total_helpwanted(url, token_auth)
        if total_issues == 0:
            rate = 0
        else:
            rate = help_wanted_issues / total_issues
        data = HelpWanted.objects.create(owner=owner, repo=repo, total_issues=total_issues, help_wanted_issues=help_wanted_issues, help_wanted_rate=rate, help_wanted_max_rate=constants.HELP_WANTED_MAX_RATE)
        serializer = HelpWantedSerializer(data)
        return Response(serializer.data, status=status.HTTP_201_CREATED)

    def put(self, request, owner, repo, token_auth):
        """Update help hanted object"""
        url = '{0}{1}/{2}'.format(constants.MAIN_URL, owner, repo)
        total_issues, help_wanted_issues = self.get_total_helpwanted(url, token_auth)
        if total_issues == 0:
            rate = 0
        else:
            rate = help_wanted_issues / total_issues
        data = HelpWanted.objects.get(owner=owner, repo=repo)
        data.total_issues = total_issues
        data.help_wanted_issues = help_wanted_issues
        data.help_wanted_rate = rate
        data.help_wanted_max_rate = constants.HELP_WANTED_MAX_RATE
        data.save()
        serializer = HelpWantedSerializer(data)
        return Response(serializer.data, status=status.HTTP_200_OK)

    def get_total_helpwanted(self, url, token_auth):
        """returns the number of all issues and the issues with help wanted label"""
        username = os.environ['NAME']
        token = os.environ['TOKEN']
        total_issues = 0
        help_wanted_issues = 0
        info_repo = requests.get(url, headers={'Authorization': 'token ' + token_auth}).json()
        total_issues = info_repo['open_issues_count']
        page = '&page=1'
        label_url = url + constants.LABEL_HELP_ESPACE_WANTED
        result = requests.get(label_url + page, headers={'Authorization': 'token ' + token_auth}).json()
        '\n        checks possibilities for different aliases of help wanted\n        '
        if result:
            help_wanted_issues = count_all_label(label_url, result, token_auth)
        else:
            label_url = url + constants.LABEL_HELPWANTED
            result = requests.get(label_url + page, headers={'Authorization': 'token ' + token_auth}).json()
            if result:
                help_wanted_issues = count_all_label(label_url, result, token_auth)
            else:
                label_url = url + constants.LABEL_HELP_WANTED
                result = requests.get(label_url + page, headers={'Authorization': 'token ' + token_auth}).json()
                if result:
                    help_wanted_issues = count_all_label(label_url, result, token_auth)
        return (total_issues, help_wanted_issues)


removeNthFromEnd

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

Class description:
Implement the Solution class.

Method signatures and docstrings:
- def removeNthFromEnd(self, head, n): :type head: ListNode :type n: int :rtype: ListNode
- def removeNthFromEnd2(self, head, n): :type head: ListNode :type n: int :rtype: ListNode

Implement the Python class `Solution` described below.

Class description:
Implement the Solution class.

Method signatures and docstrings:
- def removeNthFromEnd(self, head, n): :type head: ListNode :type n: int :rtype: ListNode
- def removeNthFromEnd2(self, head, n): :type head: ListNode :type n: int :rtype: ListNode

<|skeleton|>
class Solution:

    def removeNthFromEnd(self, head, n):
        """:type head: ListNode :type n: int :rtype: ListNode"""
        <|body_0|>

    def removeNthFromEnd2(self, head, n):
        """:type head: ListNode :type n: int :rtype: ListNode"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        List = []
        count = 0
        while head:
            List.append(head)
            head = head.next
            count = count + 1
        if count == 1:
            return None
        if List[-n].next is None:
            List[-n - 1].next = None
            return List[0]
        else:
            List[-n].val = List[-n].next.val
            List[-n].next = List[-n].next.next
        return List[0]
<|end_body_0|>

<|body_start_1|>
        dummy = ListNode(0)
        dummy.next = head
        p1 = p2 = dummy
        for i in range(n):
            p1 = p1.next
        while p1.next:
            p1 = p1.next
            p2 = p2.next
        p2.next = p2.next.next
        return dummy.next
<|end_body_1|>

Solution:
class Solution:
    def removeNthFromEnd(self, head, n):
        """:type head: ListNode :type n: int :rtype: ListNode"""
        List = []
        count = 0
        while head:
            List.append(head)
            head = head.next
            count = count + 1
        if count == 1:
            return None
        if List[-n].next is None:
            List[-n - 1].next = None
            return List[0]
        else:
            List[-n].val = List[-n].next.val
            List[-n].next = List[-n].next.next
        return List[0]

    def removeNthFromEnd2(self, head, n):
        """:type head: ListNode :type n: int :rtype: ListNode"""
        dummy = ListNode(0)
        dummy.next = head
        p1 = p2 = dummy
        for i in range(n):
            p1 = p1.next
        while p1.next:
            p1 = p1.next
            p2 = p2.next
        p2.next = p2.next.next
        return dummy.next


patch

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

Class description:
Implement the Fornecedor class.

Method signatures and docstrings:
- def get(self, id): Obtem informações de um fornecedor com base no seu id
- def patch(self, id): Atualiza um fornecedor Obs: para inativar, coloque 'ativo': false

Implement the Python class `Fornecedor` described below.

Class description:
Implement the Fornecedor class.

Method signatures and docstrings:
- def get(self, id): Obtem informações de um fornecedor com base no seu id
- def patch(self, id): Atualiza um fornecedor Obs: para inativar, coloque 'ativo': false

<|skeleton|>
class Fornecedor:

    def get(self, id):
        """Obtem informações de um fornecedor com base no seu id"""
        <|body_0|>

    def patch(self, id):
        """Atualiza um fornecedor Obs: para inativar, coloque 'ativo': false"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        fornecedor = get_a_vendor('id', id)
        if not fornecedor:
            api.abort(404)
        else:
            return fornecedor
<|end_body_0|>

<|body_start_1|>
        fornecedor = get_a_vendor('id', id)
        data = request.json
        if not fornecedor:
            api.abort(404, 'Fornecedor não encontrado.')
        if not data:
            api.abort(400, 'Payload vazio.')
        return update_vendor(fornecedor, data=data)
<|end_body_1|>

Solution:
class Fornecedor:
    def get(self, id):
        """Obtem informações de um fornecedor com base no seu id"""
        fornecedor = get_a_vendor('id', id)
        if not fornecedor:
            api.abort(404)
        else:
            return fornecedor

    def patch(self, id):
        """Atualiza um fornecedor Obs: para inativar, coloque 'ativo': false"""
        fornecedor = get_a_vendor('id', id)
        data = request.json
        if not fornecedor:
            api.abort(404, 'Fornecedor não encontrado.')
        if not data:
            api.abort(400, 'Payload vazio.')
        return update_vendor(fornecedor, data=data)


interpreter

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

Class description:
Commande 'équipage objectif'.

Method signatures and docstrings:
- def __init__(self): Constructeur du paramètre
- def interpreter(self, personnage, dic_masques): Interprétation du paramètre

Implement the Python class `PrmObjectif` described below.

Class description:
Commande 'équipage objectif'.

Method signatures and docstrings:
- def __init__(self): Constructeur du paramètre
- def interpreter(self, personnage, dic_masques): Interprétation du paramètre

<|skeleton|>
class PrmObjectif:
    """Commande 'équipage objectif'."""

    def __init__(self):
        """Constructeur du paramètre"""
        <|body_0|>

    def interpreter(self, personnage, dic_masques):
        """Interprétation du paramètre"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        Parametre.__init__(self, 'objectif', 'objective')
        self.tronquer = True
        self.schema = '(<nombre>)'
        self.aide_courte = 'consulte ou modifie les objectifs'
        self.aide_longue = 'Les objectifs sont des ordres permanents qui peuvent rester en sommeil pendant un temps indéfini. Généralement, seul le premier objectif est actif, les autres sont en attente, même si ils peuvent influencer la manoeuvre. Concrètement, un objectif est un but fixé pour un équipage, comme "se rendre à un point indiqué", "attaquer le navire que l\'on voit à l\'horizon", "chercher à accoster dans le port voisin". La différence avec de simples ordres, c\'est qu\'ils sont maintenus pendant toute la durée de leur accomplissement et sont faits pour évoluer au cours d la manoeuvre. Par exemple, aller vers une côte ou un autre navire peut être une combinaison d\'ordres assez simples, mais il faut tenir compte de plusieurs facteurs qui pourraient modifier la manoeuvre, comme la position du vent si il tourne, l\'apparition d\'un autre navire sur la trajectoire assignée, la modification du cap si le navire cible se déplace. Un objectif crée généralement des contrôles : à la différence des objectifs, les contrôles ne peuvent se contredire. Vous pourriez avoir deux objectifs actifs : l\'un demandant à se rendre vers une côte située vers l\'est, l\'autre demandant d\'attaquer un navire à l\'ouest. Dans ce cas, le commandant choisit l\'objectif le plus prioritaire (celui en haut de la liste) et donne les ordres pour atteindre la côte à l\'est. En revanche, si l\'objectif pour attaquer le navire cible est maintenu, pendant l\'accomplissement du premier objectif, une manoeuvre pourrait permettre à la cible d\'être à portée de canon. C\'est pour cela que les objectifs sont maintenus même si ils s\'opposent en apparence. Vous pouvez entrer cette commande sans paramètre pour voir les objectifs actuellement donnés à votre équipage. Notez que le premier (numéroté |ent|1|ff|) est considéré comme l\'objectif actif, celui par lequel les décisions conflictuelles sont tranchées. Les autres objectifs sont conservés mais ne font pas partie des décisions du commandant, sauf si il n\'y a aucun conflit dans les objectifs non prioritaires. Vous pouvez également entrer cette commande en précisant un numéro : l\'objectif du numéro indiqué sera retiré et ne fera plus parti des décisions prises par le commandant.'
<|end_body_0|>

<|body_start_1|>
        salle = personnage.salle
        navire = getattr(salle, 'navire', None)
        if navire is None:
            personnage << "|err|Vous n'êtes pas sur un navire.|ff|"
            return
        if not navire.a_le_droit(personnage, 'officier'):
            personnage << "|err|Vous ne pouvez donner d'ordre sur ce navire.|ff|"
            return
        equipage = salle.navire.equipage
        nombre = dic_masques['nombre']
        if nombre:
            nombre = nombre.nombre
            if nombre < 0 or nombre > len(equipage.objectifs):
                personnage << "|err|Numéro d'objectif invalide.|ff|"
                return
            nombre = nombre - 1
            objectif = equipage.objectifs[nombre]
            equipage.retirer_objectif(nombre)
            personnage << "L'objectif a bien été supprimé : {}.".format(objectif.afficher())
            return
        if not equipage.objectifs:
            personnage << 'Aucun objectif actif sur cet équipage.'
            return
        msg = 'Objectifs actifs :\n'
        for i, objectif in enumerate(equipage.objectifs):
            msg += '\n|ent|{}|ff| - {}'.format(str(i + 1).rjust(2), objectif.afficher())
        personnage << msg
<|end_body_1|>

Solution:
class PrmObjectif:
    """Commande 'équipage objectif'."""

    def __init__(self):
        """Constructeur du paramètre"""
        Parametre.__init__(self, 'objectif', 'objective')
        self.tronquer = True
        self.schema = '(<nombre>)'
        self.aide_courte = 'consulte ou modifie les objectifs'
        self.aide_longue = 'Les objectifs sont des ordres permanents qui peuvent rester en sommeil pendant un temps indéfini. Généralement, seul le premier objectif est actif, les autres sont en attente, même si ils peuvent influencer la manoeuvre. Concrètement, un objectif est un but fixé pour un équipage, comme "se rendre à un point indiqué", "attaquer le navire que l\'on voit à l\'horizon", "chercher à accoster dans le port voisin". La différence avec de simples ordres, c\'est qu\'ils sont maintenus pendant toute la durée de leur accomplissement et sont faits pour évoluer au cours d la manoeuvre. Par exemple, aller vers une côte ou un autre navire peut être une combinaison d\'ordres assez simples, mais il faut tenir compte de plusieurs facteurs qui pourraient modifier la manoeuvre, comme la position du vent si il tourne, l\'apparition d\'un autre navire sur la trajectoire assignée, la modification du cap si le navire cible se déplace. Un objectif crée généralement des contrôles : à la différence des objectifs, les contrôles ne peuvent se contredire. Vous pourriez avoir deux objectifs actifs : l\'un demandant à se rendre vers une côte située vers l\'est, l\'autre demandant d\'attaquer un navire à l\'ouest. Dans ce cas, le commandant choisit l\'objectif le plus prioritaire (celui en haut de la liste) et donne les ordres pour atteindre la côte à l\'est. En revanche, si l\'objectif pour attaquer le navire cible est maintenu, pendant l\'accomplissement du premier objectif, une manoeuvre pourrait permettre à la cible d\'être à portée de canon. C\'est pour cela que les objectifs sont maintenus même si ils s\'opposent en apparence. Vous pouvez entrer cette commande sans paramètre pour voir les objectifs actuellement donnés à votre équipage. Notez que le premier (numéroté |ent|1|ff|) est considéré comme l\'objectif actif, celui par lequel les décisions conflictuelles sont tranchées. Les autres objectifs sont conservés mais ne font pas partie des décisions du commandant, sauf si il n\'y a aucun conflit dans les objectifs non prioritaires. Vous pouvez également entrer cette commande en précisant un numéro : l\'objectif du numéro indiqué sera retiré et ne fera plus parti des décisions prises par le commandant.'

    def interpreter(self, personnage, dic_masques):
        """Interprétation du paramètre"""
        salle = personnage.salle
        navire = getattr(salle, 'navire', None)
        if navire is None:
            personnage << "|err|Vous n'êtes pas sur un navire.|ff|"
            return
        if not navire.a_le_droit(personnage, 'officier'):
            personnage << "|err|Vous ne pouvez donner d'ordre sur ce navire.|ff|"
            return
        equipage = salle.navire.equipage
        nombre = dic_masques['nombre']
        if nombre:
            nombre = nombre.nombre
            if nombre < 0 or nombre > len(equipage.objectifs):
                personnage << "|err|Numéro d'objectif invalide.|ff|"
                return
            nombre = nombre - 1
            objectif = equipage.objectifs[nombre]
            equipage.retirer_objectif(nombre)
            personnage << "L'objectif a bien été supprimé : {}.".format(objectif.afficher())
            return
        if not equipage.objectifs:
            personnage << 'Aucun objectif actif sur cet équipage.'
            return
        msg = 'Objectifs actifs :\n'
        for i, objectif in enumerate(equipage.objectifs):
            msg += '\n|ent|{}|ff| - {}'.format(str(i + 1).rjust(2), objectif.afficher())
        personnage << msg


optimal

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

Class description:
Runtime: 84 ms, faster than 79.35% of Python3 online submissions for Replace Words. Memory Usage: 28.6 MB, less than 50.00% of Python3 online submissions for Replace Words.

Method signatures and docstrings:
- def brute_force(self, dict: List[str], sentence: str) -> str: Brute force solution that I come up with Args: dict(list[str]): sentence(str): Returns: str:
- def sub_optimal(self, dict: List[str], sentence: str) -> str: Slightly better solution which runs in O(M + W^2) where M = len(dict) W = max(len(word)in sentence) Args: dict(list[str]): sentence(str): Returns: str:
- def optimal(self, roots, sentence): Optimal solution which runs in O(Mm + Nn) where M = len(roots), m = len(roots[i]) N = len(sentence), n = len(word) Args: roots(list[str]): sentence(str): Returns: str:

Implement the Python class `Solution` described below.

Class description:
Runtime: 84 ms, faster than 79.35% of Python3 online submissions for Replace Words. Memory Usage: 28.6 MB, less than 50.00% of Python3 online submissions for Replace Words.

Method signatures and docstrings:
- def brute_force(self, dict: List[str], sentence: str) -> str: Brute force solution that I come up with Args: dict(list[str]): sentence(str): Returns: str:
- def sub_optimal(self, dict: List[str], sentence: str) -> str: Slightly better solution which runs in O(M + W^2) where M = len(dict) W = max(len(word)in sentence) Args: dict(list[str]): sentence(str): Returns: str:
- def optimal(self, roots, sentence): Optimal solution which runs in O(Mm + Nn) where M = len(roots), m = len(roots[i]) N = len(sentence), n = len(word) Args: roots(list[str]): sentence(str): Returns: str:

<|skeleton|>
class Solution:
    """Runtime: 84 ms, faster than 79.35% of Python3 online submissions for Replace Words. Memory Usage: 28.6 MB, less than 50.00% of Python3 online submissions for Replace Words."""

    def brute_force(self, dict: List[str], sentence: str) -> str:
        """Brute force solution that I come up with Args: dict(list[str]): sentence(str): Returns: str:"""
        <|body_0|>

    def sub_optimal(self, dict: List[str], sentence: str) -> str:
        """Slightly better solution which runs in O(M + W^2) where M = len(dict) W = max(len(word)in sentence) Args: dict(list[str]): sentence(str): Returns: str:"""
        <|body_1|>

    def optimal(self, roots, sentence):
        """Optimal solution which runs in O(Mm + Nn) where M = len(roots), m = len(roots[i]) N = len(sentence), n = len(word) Args: roots(list[str]): sentence(str): Returns: str:"""
        <|body_2|>

<|end_skeleton|>

<|body_start_0|>
        words = sentence.split()
        dict.sort(key=lambda x: (x, len(x)))
        for i, word in enumerate(words):
            new_word = list(filter(lambda x: word.startswith(x), dict))
            if len(new_word) > 0:
                words[i] = new_word[0]
        return ' '.join(words)
<|end_body_0|>

<|body_start_1|>
        dict_set = set(dict)

        def replace(word):
            """
                    Replace the word which runs in O(W^2)

                    Args:
                        word(str):

                    Returns:
                        str:

                    """
            for i in range(1, len(word) + 1):
                if word[:i] in dict_set:
                    return word[:i]
            return word
        return ' '.join(map(replace, sentence.split()))
<|end_body_1|>

<|body_start_2|>
        TRIE = lambda: defaultdict(TRIE)
        END = True
        trie = TRIE()
        for root in roots:
            current = trie
            for char in root:
                current = current[char]
            current[END] = root

        def replace(word):
            """
                    Replace the string. This runs in O(n)

                    Args:
                        word:

                    Returns:

                    """
            current = trie
            for char in word:
                if char not in current:
                    break
                current = current[char]
                if END in current:
                    return current[END]
            return word
        return ' '.join(map(replace, sentence.split()))
<|end_body_2|>

Solution:
class Solution:
    """Runtime: 84 ms, faster than 79.35% of Python3 online submissions for Replace Words. Memory Usage: 28.6 MB, less than 50.00% of Python3 online submissions for Replace Words."""

    def brute_force(self, dict: List[str], sentence: str) -> str:
        """Brute force solution that I come up with Args: dict(list[str]): sentence(str): Returns: str:"""
        words = sentence.split()
        dict.sort(key=lambda x: (x, len(x)))
        for i, word in enumerate(words):
            new_word = list(filter(lambda x: word.startswith(x), dict))
            if len(new_word) > 0:
                words[i] = new_word[0]
        return ' '.join(words)

    def sub_optimal(self, dict: List[str], sentence: str) -> str:
        """Slightly better solution which runs in O(M + W^2) where M = len(dict) W = max(len(word)in sentence) Args: dict(list[str]): sentence(str): Returns: str:"""
        dict_set = set(dict)

        def replace(word):
            """
                    Replace the word which runs in O(W^2)

                    Args:
                        word(str):

                    Returns:
                        str:

                    """
            for i in range(1, len(word) + 1):
                if word[:i] in dict_set:
                    return word[:i]
            return word
        return ' '.join(map(replace, sentence.split()))

    def optimal(self, roots, sentence):
        """Optimal solution which runs in O(Mm + Nn) where M = len(roots), m = len(roots[i]) N = len(sentence), n = len(word) Args: roots(list[str]): sentence(str): Returns: str:"""
        TRIE = lambda: defaultdict(TRIE)
        END = True
        trie = TRIE()
        for root in roots:
            current = trie
            for char in root:
                current = current[char]
            current[END] = root

        def replace(word):
            """
                    Replace the string. This runs in O(n)

                    Args:
                        word:

                    Returns:

                    """
            current = trie
            for char in word:
                if char not in current:
                    break
                current = current[char]
                if END in current:
                    return current[END]
            return word
        return ' '.join(map(replace, sentence.split()))


deserialize

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

Class description:
Implement the Codec class.

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

Implement the Python class `Codec` described below.

Class description:
Implement the Codec class.

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

<|skeleton|>
class Codec:

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

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

<|end_skeleton|>

<|body_start_0|>
        def rserialize(root, s):
            if not root:
                s += 'null,'
                return s
            s += '{},'.format(root.val)
            s = rserialize(root.left, s)
            s = rserialize(root.right, s)
            return s
        return rserialize(root, '')
<|end_body_0|>

<|body_start_1|>
        l = []
        _tmp = data.split(',')
        for item in _tmp:
            if item:
                l.append(item)
        l.reverse()

        def rdeserialize():
            if not l:
                return None
            val = l.pop()
            if val == 'null':
                return None
            root = TreeNode(val)
            root.left = rdeserialize()
            root.right = rdeserialize()
            return root
        return rdeserialize()
<|end_body_1|>

Solution:
class Codec:
    def serialize(self, root):
        """Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
        def rserialize(root, s):
            if not root:
                s += 'null,'
                return s
            s += '{},'.format(root.val)
            s = rserialize(root.left, s)
            s = rserialize(root.right, s)
            return s
        return rserialize(root, '')

    def deserialize(self, data):
        """Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
        l = []
        _tmp = data.split(',')
        for item in _tmp:
            if item:
                l.append(item)
        l.reverse()

        def rdeserialize():
            if not l:
                return None
            val = l.pop()
            if val == 'null':
                return None
            root = TreeNode(val)
            root.left = rdeserialize()
            root.right = rdeserialize()
            return root
        return rdeserialize()


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

Class description:
Popup Frame to Add a Doctor

Method signatures and docstrings:
- def __init__(self, parent, close_callback): Constructor
- def _date_of_birth(self): Calendar popup
- def _submit_cb(self): Submit the Add Doctor button

Implement the Python class `AddDoctorPopup` described below.

Class description:
Popup Frame to Add a Doctor

Method signatures and docstrings:
- def __init__(self, parent, close_callback): Constructor
- def _date_of_birth(self): Calendar popup
- def _submit_cb(self): Submit the Add Doctor button

<|skeleton|>
class AddDoctorPopup:
    """Popup Frame to Add a Doctor"""

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

    def _date_of_birth(self):
        """Calendar popup"""
        <|body_1|>

    def _submit_cb(self):
        """Submit the Add Doctor button"""
        <|body_2|>

<|end_skeleton|>

<|body_start_0|>
        self.is_released = False
        tk.Frame.__init__(self, parent)
        parent.title('Add a Doctor')
        self._close_cb = close_callback
        self.grid(rowspan=2, columnspan=2, padx=30, pady=30)
        ttk.Label(self, text='ID:').grid(row=1, column=1)
        self.id = ttk.Entry(self)
        self.id.grid(row=1, column=2)
        ttk.Label(self, text='First Name:').grid(row=2, column=1)
        self.first_name = ttk.Entry(self)
        self.first_name.grid(row=2, column=2)
        ttk.Label(self, text='Last Name:').grid(row=3, column=1)
        self.last_name = ttk.Entry(self)
        self.last_name.grid(row=3, column=2)
        ttk.Label(self, text='Address:').grid(row=5, column=1)
        self.address = ttk.Entry(self)
        ttk.Label(self, text='Date of Birth:').grid(row=4, column=1)
        ttk.Button(self, text='Calendar', command=self._date_of_birth).grid(row=4, column=2)
        self.address.grid(row=5, column=2)
        ttk.Label(self, text='Office Number:').grid(row=7, column=1)
        self.office_num = ttk.Entry(self)
        self.office_num.grid(row=7, column=2)
        ttk.Label(self, text='Income:').grid(row=8, column=1)
        self.income = ttk.Entry(self)
        self.income.grid(row=8, column=2)
        ttk.Button(self, text='Submit', command=self._submit_cb).grid(row=9, column=1, pady=20)
        ttk.Button(self, text='Close', command=self._close_cb).grid(row=9, column=2)
<|end_body_0|>

<|body_start_1|>
        new_wins = tk.Toplevel()
        cal = DateEntry(new_wins, width=15, background='blue', foreground='red', borderwidth=3, date_pattern='y-mm-dd')
        cal.pack(padx=10, pady=10)
        self.date_of_birth = cal.get_date()
<|end_body_1|>

<|body_start_2|>
        data = {}
        data['first_name'] = self.first_name.get()
        data['last_name'] = self.last_name.get()
        data['date_of_birth'] = self.date_of_birth.strftime('%d-%b-%Y')
        data['address'] = self.address.get()
        data['id'] = self.id.get()
        data['is_released'] = self.is_released
        try:
            data['office_num'] = int(self.office_num.get())
            data['income'] = int(self.income.get())
        except TypeError:
            messagebox.showerror('Error', 'Office number or Income must be greater than or equal 0, and they are an integer', icon='error')
        regex_1 = re.compile('[a-zA-Z]', re.I)
        match_1 = regex_1.match(str(data['first_name']))
        regex_2 = re.compile('[a-zA-Z]', re.I)
        match_2 = regex_2.match(str(data['last_name']))
        try:
            response = requests.post('http://127.0.0.1:5000/department/Doctor', json=data)
            if response.status_code == 200:
                print(response.text)
            else:
                messagebox.showerror('Error', response.text)
        except ValueError as err:
            messagebox.showerror(title='Invalid Value', message=err, icon='error')
<|end_body_2|>

Solution:
class AddDoctorPopup:
    """Popup Frame to Add a Doctor"""

    def __init__(self, parent, close_callback):
        """Constructor"""
        self.is_released = False
        tk.Frame.__init__(self, parent)
        parent.title('Add a Doctor')
        self._close_cb = close_callback
        self.grid(rowspan=2, columnspan=2, padx=30, pady=30)
        ttk.Label(self, text='ID:').grid(row=1, column=1)
        self.id = ttk.Entry(self)
        self.id.grid(row=1, column=2)
        ttk.Label(self, text='First Name:').grid(row=2, column=1)
        self.first_name = ttk.Entry(self)
        self.first_name.grid(row=2, column=2)
        ttk.Label(self, text='Last Name:').grid(row=3, column=1)
        self.last_name = ttk.Entry(self)
        self.last_name.grid(row=3, column=2)
        ttk.Label(self, text='Address:').grid(row=5, column=1)
        self.address = ttk.Entry(self)
        ttk.Label(self, text='Date of Birth:').grid(row=4, column=1)
        ttk.Button(self, text='Calendar', command=self._date_of_birth).grid(row=4, column=2)
        self.address.grid(row=5, column=2)
        ttk.Label(self, text='Office Number:').grid(row=7, column=1)
        self.office_num = ttk.Entry(self)
        self.office_num.grid(row=7, column=2)
        ttk.Label(self, text='Income:').grid(row=8, column=1)
        self.income = ttk.Entry(self)
        self.income.grid(row=8, column=2)
        ttk.Button(self, text='Submit', command=self._submit_cb).grid(row=9, column=1, pady=20)
        ttk.Button(self, text='Close', command=self._close_cb).grid(row=9, column=2)

    def _date_of_birth(self):
        """Calendar popup"""
        new_wins = tk.Toplevel()
        cal = DateEntry(new_wins, width=15, background='blue', foreground='red', borderwidth=3, date_pattern='y-mm-dd')
        cal.pack(padx=10, pady=10)
        self.date_of_birth = cal.get_date()

    def _submit_cb(self):
        """Submit the Add Doctor button"""
        data = {}
        data['first_name'] = self.first_name.get()
        data['last_name'] = self.last_name.get()
        data['date_of_birth'] = self.date_of_birth.strftime('%d-%b-%Y')
        data['address'] = self.address.get()
        data['id'] = self.id.get()
        data['is_released'] = self.is_released
        try:
            data['office_num'] = int(self.office_num.get())
            data['income'] = int(self.income.get())
        except TypeError:
            messagebox.showerror('Error', 'Office number or Income must be greater than or equal 0, and they are an integer', icon='error')
        regex_1 = re.compile('[a-zA-Z]', re.I)
        match_1 = regex_1.match(str(data['first_name']))
        regex_2 = re.compile('[a-zA-Z]', re.I)
        match_2 = regex_2.match(str(data['last_name']))
        try:
            response = requests.post('http://127.0.0.1:5000/department/Doctor', json=data)
            if response.status_code == 200:
                print(response.text)
            else:
                messagebox.showerror('Error', response.text)
        except ValueError as err:
            messagebox.showerror(title='Invalid Value', message=err, icon='error')


parse

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

Class description:
Implement the ChiMetroPierExpositionSpider class.

Method signatures and docstrings:
- def parse(self, response): `parse` should always `yield` Meeting items. Change the `_parse_title`, `_parse_start`, etc methods to fit your scraping needs.
- def _parse_title(self, item): Parse or generate meeting title.
- def _parse_classification(self, title): Parse or generate classification from allowed options.
- def _parse_start(self, item, classification): Parse start datetime as a naive datetime object.
- def _parse_links(self, item): Parse or generate links.

Implement the Python class `ChiMetroPierExpositionSpider` described below.

Class description:
Implement the ChiMetroPierExpositionSpider class.

Method signatures and docstrings:
- def parse(self, response): `parse` should always `yield` Meeting items. Change the `_parse_title`, `_parse_start`, etc methods to fit your scraping needs.
- def _parse_title(self, item): Parse or generate meeting title.
- def _parse_classification(self, title): Parse or generate classification from allowed options.
- def _parse_start(self, item, classification): Parse start datetime as a naive datetime object.
- def _parse_links(self, item): Parse or generate links.

<|skeleton|>
class ChiMetroPierExpositionSpider:

    def parse(self, response):
        """`parse` should always `yield` Meeting items. Change the `_parse_title`, `_parse_start`, etc methods to fit your scraping needs."""
        <|body_0|>

    def _parse_title(self, item):
        """Parse or generate meeting title."""
        <|body_1|>

    def _parse_classification(self, title):
        """Parse or generate classification from allowed options."""
        <|body_2|>

    def _parse_start(self, item, classification):
        """Parse start datetime as a naive datetime object."""
        <|body_3|>

    def _parse_links(self, item):
        """Parse or generate links."""
        <|body_4|>

<|end_skeleton|>

<|body_start_0|>
        description = ' '.join(response.css('.vc_col-sm-6 .wpb_wrapper p *::text').extract())
        location = self.location
        if 'virtual' in description.lower():
            location = {'name': 'Virtual', 'address': ''}
        elif 'cancel' not in description.lower() and '301 East Cermak' not in description:
            raise ValueError('Meeting location has changed')
        for item in response.css('.supsystic-table tr')[3:]:
            title = self._parse_title(item)
            classification = self._parse_classification(title)
            meeting = Meeting(title=title, description='', classification=classification, start=self._parse_start(item, classification), end=None, all_day=False, time_notes='Refer to notice for start time', location=location, links=self._parse_links(item), source=response.url)
            meeting['status'] = self._get_status(meeting, text=item.css('td:nth-child(2)::text').extract_first() or '')
            meeting['id'] = self._get_id(meeting)
            yield meeting
<|end_body_0|>

<|body_start_1|>
        title_str = item.css('td:nth-child(2)::text').extract_first()
        if 'committee' in title_str.lower():
            return title_str.replace('Meeting', '').strip()
        return 'Board of Directors'
<|end_body_1|>

<|body_start_2|>
        if 'committee' in title.lower():
            return COMMITTEE
        return BOARD
<|end_body_2|>

<|body_start_3|>
        date_str = item.css('td::text').extract_first().strip()
        date_obj = datetime.strptime(date_str, '%B %d, %Y').date()
        time_obj = time(9)
        if classification == COMMITTEE:
            time_obj = time(13, 30)
        return datetime.combine(date_obj, time_obj)
<|end_body_3|>

<|body_start_4|>
        links = []
        for link in item.css('a'):
            links.append({'href': link.attrib['href'], 'title': link.xpath('./text()').extract_first()})
        return links
<|end_body_4|>

Solution:
class ChiMetroPierExpositionSpider:
    def parse(self, response):
        """`parse` should always `yield` Meeting items. Change the `_parse_title`, `_parse_start`, etc methods to fit your scraping needs."""
        description = ' '.join(response.css('.vc_col-sm-6 .wpb_wrapper p *::text').extract())
        location = self.location
        if 'virtual' in description.lower():
            location = {'name': 'Virtual', 'address': ''}
        elif 'cancel' not in description.lower() and '301 East Cermak' not in description:
            raise ValueError('Meeting location has changed')
        for item in response.css('.supsystic-table tr')[3:]:
            title = self._parse_title(item)
            classification = self._parse_classification(title)
            meeting = Meeting(title=title, description='', classification=classification, start=self._parse_start(item, classification), end=None, all_day=False, time_notes='Refer to notice for start time', location=location, links=self._parse_links(item), source=response.url)
            meeting['status'] = self._get_status(meeting, text=item.css('td:nth-child(2)::text').extract_first() or '')
            meeting['id'] = self._get_id(meeting)
            yield meeting

    def _parse_title(self, item):
        """Parse or generate meeting title."""
        title_str = item.css('td:nth-child(2)::text').extract_first()
        if 'committee' in title_str.lower():
            return title_str.replace('Meeting', '').strip()
        return 'Board of Directors'

    def _parse_classification(self, title):
        """Parse or generate classification from allowed options."""
        if 'committee' in title.lower():
            return COMMITTEE
        return BOARD

    def _parse_start(self, item, classification):
        """Parse start datetime as a naive datetime object."""
        date_str = item.css('td::text').extract_first().strip()
        date_obj = datetime.strptime(date_str, '%B %d, %Y').date()
        time_obj = time(9)
        if classification == COMMITTEE:
            time_obj = time(13, 30)
        return datetime.combine(date_obj, time_obj)

    def _parse_links(self, item):
        """Parse or generate links."""
        links = []
        for link in item.css('a'):
            links.append({'href': link.attrib['href'], 'title': link.xpath('./text()').extract_first()})
        return links


visualize

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

Class description:
Explanation object specific to PR explainer.

Method signatures and docstrings:
- def __init__(self, explanation_type, internal_obj, feature_names=None, feature_types=None, name=None, selector=None): Initializes class. Args: explanation_type: Type of explanation. internal_obj: A jsonable object that backs the explanation. feature_names: List of feature names. feature_types: List of feature types. name: User-defined name of explanation. selector: A dataframe whose indices correspond to explanation entries.
- def data(self, key=None): Provides specific explanation data. Args: key: A number/string that references a specific data item. Returns: A serializable dictionary.
- def visualize(self, key=None): Provides interactive visualizations. Args: key: Either a scalar or list that indexes the internal object for sub-plotting. If an overall visualization is requested, pass None. Returns: A Plotly figure.

Implement the Python class `PRExplanation` described below.

Class description:
Explanation object specific to PR explainer.

Method signatures and docstrings:
- def __init__(self, explanation_type, internal_obj, feature_names=None, feature_types=None, name=None, selector=None): Initializes class. Args: explanation_type: Type of explanation. internal_obj: A jsonable object that backs the explanation. feature_names: List of feature names. feature_types: List of feature types. name: User-defined name of explanation. selector: A dataframe whose indices correspond to explanation entries.
- def data(self, key=None): Provides specific explanation data. Args: key: A number/string that references a specific data item. Returns: A serializable dictionary.
- def visualize(self, key=None): Provides interactive visualizations. Args: key: Either a scalar or list that indexes the internal object for sub-plotting. If an overall visualization is requested, pass None. Returns: A Plotly figure.

<|skeleton|>
class PRExplanation:
    """Explanation object specific to PR explainer."""

    def __init__(self, explanation_type, internal_obj, feature_names=None, feature_types=None, name=None, selector=None):
        """Initializes class. Args: explanation_type: Type of explanation. internal_obj: A jsonable object that backs the explanation. feature_names: List of feature names. feature_types: List of feature types. name: User-defined name of explanation. selector: A dataframe whose indices correspond to explanation entries."""
        <|body_0|>

    def data(self, key=None):
        """Provides specific explanation data. Args: key: A number/string that references a specific data item. Returns: A serializable dictionary."""
        <|body_1|>

    def visualize(self, key=None):
        """Provides interactive visualizations. Args: key: Either a scalar or list that indexes the internal object for sub-plotting. If an overall visualization is requested, pass None. Returns: A Plotly figure."""
        <|body_2|>

<|end_skeleton|>

<|body_start_0|>
        self.explanation_type = explanation_type
        self._internal_obj = internal_obj
        self.feature_names = feature_names
        self.feature_types = feature_types
        self.name = name
        self.selector = selector
<|end_body_0|>

<|body_start_1|>
        if key is None:
            return self._internal_obj['overall']
        return None
<|end_body_1|>

<|body_start_2|>
        from ..visual.plot import plot_performance_curve
        data_dict = self.data(key)
        if data_dict is None:
            return None
        return plot_performance_curve(data_dict, xtitle='Recall', ytitle='Precision', baseline=False, title='PR Curve: ' + self.name, auc_prefix='Average Precision')
<|end_body_2|>

Solution:
class PRExplanation:
    """Explanation object specific to PR explainer."""

    def __init__(self, explanation_type, internal_obj, feature_names=None, feature_types=None, name=None, selector=None):
        """Initializes class. Args: explanation_type: Type of explanation. internal_obj: A jsonable object that backs the explanation. feature_names: List of feature names. feature_types: List of feature types. name: User-defined name of explanation. selector: A dataframe whose indices correspond to explanation entries."""
        self.explanation_type = explanation_type
        self._internal_obj = internal_obj
        self.feature_names = feature_names
        self.feature_types = feature_types
        self.name = name
        self.selector = selector

    def data(self, key=None):
        """Provides specific explanation data. Args: key: A number/string that references a specific data item. Returns: A serializable dictionary."""
        if key is None:
            return self._internal_obj['overall']
        return None

    def visualize(self, key=None):
        """Provides interactive visualizations. Args: key: Either a scalar or list that indexes the internal object for sub-plotting. If an overall visualization is requested, pass None. Returns: A Plotly figure."""
        from ..visual.plot import plot_performance_curve
        data_dict = self.data(key)
        if data_dict is None:
            return None
        return plot_performance_curve(data_dict, xtitle='Recall', ytitle='Precision', baseline=False, title='PR Curve: ' + self.name, auc_prefix='Average Precision')


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

Class description:
Implement the Solution class.

Method signatures and docstrings:
- def isPowerOfFour(self, num): :type num: int :rtype: bool
- def isPowerOfFour(self, num): :type num: int :rtype: bool

Implement the Python class `Solution` described below.

Class description:
Implement the Solution class.

Method signatures and docstrings:
- def isPowerOfFour(self, num): :type num: int :rtype: bool
- def isPowerOfFour(self, num): :type num: int :rtype: bool

<|skeleton|>
class Solution:

    def isPowerOfFour(self, num):
        """:type num: int :rtype: bool"""
        <|body_0|>

    def isPowerOfFour(self, num):
        """:type num: int :rtype: bool"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        if num <= 0:
            return False
        return num & 1431655765 != 0 and (not num & num - 1)
<|end_body_0|>

<|body_start_1|>
        if num <= 0:
            return False
        return not num & num - 1 and (num - 1) % 3 == 0
<|end_body_1|>

Solution:
class Solution:
    def isPowerOfFour(self, num):
        """:type num: int :rtype: bool"""
        if num <= 0:
            return False
        return num & 1431655765 != 0 and (not num & num - 1)

    def isPowerOfFour(self, num):
        """:type num: int :rtype: bool"""
        if num <= 0:
            return False
        return not num & num - 1 and (num - 1) % 3 == 0


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

Class description:
Implement the ImageInfoExtractor class.

Method signatures and docstrings:
- def parse_images_text_from_dir_path(directory_path='images'): @:param (str) directory path from which it iterates through all images, sends a request to ocrspace API and get plate content for each image @:returns (dict) key(str): licence plate content. value(str): image path
- def parse_image_text(file_path): @:param (str) image path, the method sends a request to ocrspace API with the image path and get plate content for each image @:returns image plate licence content

Implement the Python class `ImageInfoExtractor` described below.

Class description:
Implement the ImageInfoExtractor class.

Method signatures and docstrings:
- def parse_images_text_from_dir_path(directory_path='images'): @:param (str) directory path from which it iterates through all images, sends a request to ocrspace API and get plate content for each image @:returns (dict) key(str): licence plate content. value(str): image path
- def parse_image_text(file_path): @:param (str) image path, the method sends a request to ocrspace API with the image path and get plate content for each image @:returns image plate licence content

<|skeleton|>
class ImageInfoExtractor:

    def parse_images_text_from_dir_path(directory_path='images'):
        """@:param (str) directory path from which it iterates through all images, sends a request to ocrspace API and get plate content for each image @:returns (dict) key(str): licence plate content. value(str): image path"""
        <|body_0|>

    def parse_image_text(file_path):
        """@:param (str) image path, the method sends a request to ocrspace API with the image path and get plate content for each image @:returns image plate licence content"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        content_path_dict = {}
        try:
            for file_name in os.listdir(directory_path):
                file_path = directory_path + '/' + file_name
                image_content = ImageInfoExtractor.parse_image_text(file_path)
                if image_content is not None:
                    content_path_dict[image_content] = file_path
            return content_path_dict
        except OSError as e:
            logging.warning('could not open path')
            return None
<|end_body_0|>

<|body_start_1|>
        image_content = api.ocr_file(file_path)
        if image_content != '':
            image_content.replace('\r\n', '\n')
            logging.info('the following content was detected by the api: ' + image_content + ' from this image path: ' + file_path)
            return image_content
        else:
            logging.warning('the api did not succeed to detect image content from the following image path: ' + file_path + '\nTherefore, the decision is not saved to database')
<|end_body_1|>

Solution:
class ImageInfoExtractor:
    def parse_images_text_from_dir_path(directory_path='images'):
        """@:param (str) directory path from which it iterates through all images, sends a request to ocrspace API and get plate content for each image @:returns (dict) key(str): licence plate content. value(str): image path"""
        content_path_dict = {}
        try:
            for file_name in os.listdir(directory_path):
                file_path = directory_path + '/' + file_name
                image_content = ImageInfoExtractor.parse_image_text(file_path)
                if image_content is not None:
                    content_path_dict[image_content] = file_path
            return content_path_dict
        except OSError as e:
            logging.warning('could not open path')
            return None

    def parse_image_text(file_path):
        """@:param (str) image path, the method sends a request to ocrspace API with the image path and get plate content for each image @:returns image plate licence content"""
        image_content = api.ocr_file(file_path)
        if image_content != '':
            image_content.replace('\r\n', '\n')
            logging.info('the following content was detected by the api: ' + image_content + ' from this image path: ' + file_path)
            return image_content
        else:
            logging.warning('the api did not succeed to detect image content from the following image path: ' + file_path + '\nTherefore, the decision is not saved to database')


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

Class description:
Statistic callback class to print out statistical information about the results into terminal for better understanding and debugging. :param BaseCallback: Base callback class. :type BaseCallback: BaseCallback

Method signatures and docstrings:
- def __init__(self, prefix: str, use_filemanager: Optional[bool]=None): Initialise Statistical callback object given a filename and optional use_filemanager flag. :param prefix: Prefix to use for the line plot output file. :type prefix: str :param use_filemanager: Flag to denote if the filemanager of the pipeline should be used. :type use_filemanager: Optional[bool]
- def __call__(self, data_dict: Dict[str, xr.DataArray]): Implementation of abstract base method to print out pipeline statistical information of step results into terminal. :param data_dict: Dict of DataArrays that statistical information should be printed out. :type data_dict: Dict[str, xr.DataArray]

Implement the Python class `StatisticCallback` described below.

Class description:
Statistic callback class to print out statistical information about the results into terminal for better understanding and debugging. :param BaseCallback: Base callback class. :type BaseCallback: BaseCallback

Method signatures and docstrings:
- def __init__(self, prefix: str, use_filemanager: Optional[bool]=None): Initialise Statistical callback object given a filename and optional use_filemanager flag. :param prefix: Prefix to use for the line plot output file. :type prefix: str :param use_filemanager: Flag to denote if the filemanager of the pipeline should be used. :type use_filemanager: Optional[bool]
- def __call__(self, data_dict: Dict[str, xr.DataArray]): Implementation of abstract base method to print out pipeline statistical information of step results into terminal. :param data_dict: Dict of DataArrays that statistical information should be printed out. :type data_dict: Dict[str, xr.DataArray]

<|skeleton|>
class StatisticCallback:
    """Statistic callback class to print out statistical information about the results into terminal for better understanding and debugging. :param BaseCallback: Base callback class. :type BaseCallback: BaseCallback"""

    def __init__(self, prefix: str, use_filemanager: Optional[bool]=None):
        """Initialise Statistical callback object given a filename and optional use_filemanager flag. :param prefix: Prefix to use for the line plot output file. :type prefix: str :param use_filemanager: Flag to denote if the filemanager of the pipeline should be used. :type use_filemanager: Optional[bool]"""
        <|body_0|>

    def __call__(self, data_dict: Dict[str, xr.DataArray]):
        """Implementation of abstract base method to print out pipeline statistical information of step results into terminal. :param data_dict: Dict of DataArrays that statistical information should be printed out. :type data_dict: Dict[str, xr.DataArray]"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        if use_filemanager is None:
            super().__init__()
        else:
            super().__init__(use_filemanager)
        self.prefix = prefix
<|end_body_0|>

<|body_start_1|>
        result_string = '\n# Statistical Callback\n'
        print('\n# Statistical Callback')
        for key in data_dict:
            print(f'## {key}')
            print(data_dict[key].to_pandas().describe())
            result_string += f'## {key}\n {data_dict[key].to_pandas().describe()} \n'
        with open(self.get_path(f'{self.prefix}_Statistics.md'), 'w') as file:
            file.write(result_string)
<|end_body_1|>

Solution:
class StatisticCallback:
    """Statistic callback class to print out statistical information about the results into terminal for better understanding and debugging. :param BaseCallback: Base callback class. :type BaseCallback: BaseCallback"""

    def __init__(self, prefix: str, use_filemanager: Optional[bool]=None):
        """Initialise Statistical callback object given a filename and optional use_filemanager flag. :param prefix: Prefix to use for the line plot output file. :type prefix: str :param use_filemanager: Flag to denote if the filemanager of the pipeline should be used. :type use_filemanager: Optional[bool]"""
        if use_filemanager is None:
            super().__init__()
        else:
            super().__init__(use_filemanager)
        self.prefix = prefix

    def __call__(self, data_dict: Dict[str, xr.DataArray]):
        """Implementation of abstract base method to print out pipeline statistical information of step results into terminal. :param data_dict: Dict of DataArrays that statistical information should be printed out. :type data_dict: Dict[str, xr.DataArray]"""
        result_string = '\n# Statistical Callback\n'
        print('\n# Statistical Callback')
        for key in data_dict:
            print(f'## {key}')
            print(data_dict[key].to_pandas().describe())
            result_string += f'## {key}\n {data_dict[key].to_pandas().describe()} \n'
        with open(self.get_path(f'{self.prefix}_Statistics.md'), 'w') as file:
            file.write(result_string)


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

Class description:
Implement the Solution class.

Method signatures and docstrings:
- def permute(self, nums): distinct numbers
- def permuteUnique(self, nums): might contain duplicates
- def nextPermutation(self, nums): next dict permutation

Implement the Python class `Solution` described below.

Class description:
Implement the Solution class.

Method signatures and docstrings:
- def permute(self, nums): distinct numbers
- def permuteUnique(self, nums): might contain duplicates
- def nextPermutation(self, nums): next dict permutation

<|skeleton|>
class Solution:

    def permute(self, nums):
        """distinct numbers"""
        <|body_0|>

    def permuteUnique(self, nums):
        """might contain duplicates"""
        <|body_1|>

    def nextPermutation(self, nums):
        """next dict permutation"""
        <|body_2|>

<|end_skeleton|>

<|body_start_0|>
        n = nums[0]
        m = len(nums)
        if m == 1:
            return [[n]]
        new_perm = []
        perms = self.permute(nums[1:])
        for perm in perms:
            for i in range(m):
                new_perm.append(perm[:i] + [n] + perm[i:])
        return new_perm
<|end_body_0|>

<|body_start_1|>
        n = nums[0]
        m = len(nums)
        if m == 1:
            return [[n]]
        new_perm = []
        perms = self.permuteUnique(nums[1:])
        for perm in perms:
            for i in range(m):
                l = perm[:i] + [n] + perm[i:]
                new_perm.append(l)
                if i < m - 1 and perm[i] == n:
                    break
        return new_perm
<|end_body_1|>

<|body_start_2|>
        m = len(nums)
        j = m - 1
        while j > 0 and nums[j] <= nums[j - 1]:
            j = j - 1
        if j == 0:
            return nums[::-1]
        n = nums[j - 1]
        left, right = (j, m - 1)
        while left < right:
            middle = (left + right + 1) // 2
            if nums[middle] > n:
                left = middle
            else:
                right = middle - 1
        nums[j - 1] = nums[left]
        nums[left] = n
        return nums[:j] + nums[m - 1:j - 1:-1]
<|end_body_2|>

Solution:
class Solution:
    def permute(self, nums):
        """distinct numbers"""
        n = nums[0]
        m = len(nums)
        if m == 1:
            return [[n]]
        new_perm = []
        perms = self.permute(nums[1:])
        for perm in perms:
            for i in range(m):
                new_perm.append(perm[:i] + [n] + perm[i:])
        return new_perm

    def permuteUnique(self, nums):
        """might contain duplicates"""
        n = nums[0]
        m = len(nums)
        if m == 1:
            return [[n]]
        new_perm = []
        perms = self.permuteUnique(nums[1:])
        for perm in perms:
            for i in range(m):
                l = perm[:i] + [n] + perm[i:]
                new_perm.append(l)
                if i < m - 1 and perm[i] == n:
                    break
        return new_perm

    def nextPermutation(self, nums):
        """next dict permutation"""
        m = len(nums)
        j = m - 1
        while j > 0 and nums[j] <= nums[j - 1]:
            j = j - 1
        if j == 0:
            return nums[::-1]
        n = nums[j - 1]
        left, right = (j, m - 1)
        while left < right:
            middle = (left + right + 1) // 2
            if nums[middle] > n:
                left = middle
            else:
                right = middle - 1
        nums[j - 1] = nums[left]
        nums[left] = n
        return nums[:j] + nums[m - 1:j - 1:-1]


post

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

Class description:
Implement the PublicationView class.

Method signatures and docstrings:
- def get(self, request, project_id, revision=None): Get a publication. If a revision is not supplied, return the "Original" publication. Include the latest version if it is not being queried.
- def post(self, request, **kwargs): Publish a project or version a publication

Implement the Python class `PublicationView` described below.

Class description:
Implement the PublicationView class.

Method signatures and docstrings:
- def get(self, request, project_id, revision=None): Get a publication. If a revision is not supplied, return the "Original" publication. Include the latest version if it is not being queried.
- def post(self, request, **kwargs): Publish a project or version a publication

<|skeleton|>
class PublicationView:

    def get(self, request, project_id, revision=None):
        """Get a publication. If a revision is not supplied, return the "Original" publication. Include the latest version if it is not being queried."""
        <|body_0|>

    def post(self, request, **kwargs):
        """Publish a project or version a publication"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        es_client = new_es_client()
        pub = BaseESPublication(project_id=project_id, revision=revision, using=es_client)
        latest_revision = IndexedPublication.max_revision(project_id=project_id, using=es_client)
        latest_pub_dict = None
        if latest_revision > 0 and latest_revision != revision:
            latest_pub = BaseESPublication(project_id=project_id, revision=latest_revision, using=es_client)
            if latest_pub is not None and hasattr(latest_pub, 'project'):
                latest_pub_dict = latest_pub.to_dict()
        if pub is not None and hasattr(pub, 'project'):
            pub_dict = pub.to_dict()
            if pub_dict['project']['value']['projectType'] != 'other':
                metrics.info('Data Depot', extra={'user': request.user.username, 'sessionId': getattr(request.session, 'session_key', ''), 'operation': 'listing', 'agent': request.META.get('HTTP_USER_AGENT'), 'ip': get_client_ip(request), 'info': {'api': 'agave', 'systemId': 'designsafe.storage.published', 'filePath': project_id, 'query': {}}})
            if latest_pub_dict:
                pub_dict['latestRevision'] = latest_pub_dict
            return JsonResponse(pub_dict)
        else:
            return JsonResponse({'status': 404, 'message': 'Not found'}, status=404)
<|end_body_0|>

<|body_start_1|>
        if request.is_ajax():
            data = json.loads(request.body)
        else:
            data = request.POST
        status = data.get('status', 'saved')
        revision = data.get('revision', None)
        revision_text = data.get('revisionText', None)
        revision_titles = data.get('revisionTitles', None)
        revised_authors = data.get('revisionAuthors', None)
        selected_files = data.get('selectedFiles', None)
        project_id = data['publication']['project']['value']['projectId']
        current_revision = None
        if revision:
            latest_revision = IndexedPublication.max_revision(project_id=project_id)
            current_revision = latest_revision + 1 if latest_revision >= 2 else 2
        pub = initilize_publication(data['publication'], status, revision=current_revision, revision_text=revision_text, revision_titles=revision_titles)
        if data.get('status', 'save').startswith('publish'):
            (tasks.freeze_publication_meta.s(project_id=pub.projectId, entity_uuids=data.get('mainEntityUuids'), revision=current_revision, revised_authors=revised_authors).set(queue='api') | group(tasks.save_publication.si(project_id=pub.projectId, entity_uuids=data.get('mainEntityUuids'), revision=current_revision, revised_authors=revised_authors).set(queue='files', countdown=60), tasks.copy_publication_files_to_corral.si(project_id=pub.projectId, revision=current_revision, selected_files=selected_files).set(queue='files', countdown=60)) | tasks.swap_file_tag_uuids.si(pub.projectId, revision=current_revision) | tasks.set_publish_status.si(project_id=pub.projectId, entity_uuids=data.get('mainEntityUuids'), revision=current_revision) | tasks.zip_publication_files.si(pub.projectId, revision=current_revision) | tasks.email_user_publication_request_confirmation.si(request.user.username) | tasks.check_published_files.si(pub.projectId, revision=current_revision, selected_files=selected_files)).apply_async()
        return JsonResponse({'success': 'Project is publishing.'}, status=200)
<|end_body_1|>

Solution:
class PublicationView:
    def get(self, request, project_id, revision=None):
        """Get a publication. If a revision is not supplied, return the "Original" publication. Include the latest version if it is not being queried."""
        es_client = new_es_client()
        pub = BaseESPublication(project_id=project_id, revision=revision, using=es_client)
        latest_revision = IndexedPublication.max_revision(project_id=project_id, using=es_client)
        latest_pub_dict = None
        if latest_revision > 0 and latest_revision != revision:
            latest_pub = BaseESPublication(project_id=project_id, revision=latest_revision, using=es_client)
            if latest_pub is not None and hasattr(latest_pub, 'project'):
                latest_pub_dict = latest_pub.to_dict()
        if pub is not None and hasattr(pub, 'project'):
            pub_dict = pub.to_dict()
            if pub_dict['project']['value']['projectType'] != 'other':
                metrics.info('Data Depot', extra={'user': request.user.username, 'sessionId': getattr(request.session, 'session_key', ''), 'operation': 'listing', 'agent': request.META.get('HTTP_USER_AGENT'), 'ip': get_client_ip(request), 'info': {'api': 'agave', 'systemId': 'designsafe.storage.published', 'filePath': project_id, 'query': {}}})
            if latest_pub_dict:
                pub_dict['latestRevision'] = latest_pub_dict
            return JsonResponse(pub_dict)
        else:
            return JsonResponse({'status': 404, 'message': 'Not found'}, status=404)

    def post(self, request, **kwargs):
        """Publish a project or version a publication"""
        if request.is_ajax():
            data = json.loads(request.body)
        else:
            data = request.POST
        status = data.get('status', 'saved')
        revision = data.get('revision', None)
        revision_text = data.get('revisionText', None)
        revision_titles = data.get('revisionTitles', None)
        revised_authors = data.get('revisionAuthors', None)
        selected_files = data.get('selectedFiles', None)
        project_id = data['publication']['project']['value']['projectId']
        current_revision = None
        if revision:
            latest_revision = IndexedPublication.max_revision(project_id=project_id)
            current_revision = latest_revision + 1 if latest_revision >= 2 else 2
        pub = initilize_publication(data['publication'], status, revision=current_revision, revision_text=revision_text, revision_titles=revision_titles)
        if data.get('status', 'save').startswith('publish'):
            (tasks.freeze_publication_meta.s(project_id=pub.projectId, entity_uuids=data.get('mainEntityUuids'), revision=current_revision, revised_authors=revised_authors).set(queue='api') | group(tasks.save_publication.si(project_id=pub.projectId, entity_uuids=data.get('mainEntityUuids'), revision=current_revision, revised_authors=revised_authors).set(queue='files', countdown=60), tasks.copy_publication_files_to_corral.si(project_id=pub.projectId, revision=current_revision, selected_files=selected_files).set(queue='files', countdown=60)) | tasks.swap_file_tag_uuids.si(pub.projectId, revision=current_revision) | tasks.set_publish_status.si(project_id=pub.projectId, entity_uuids=data.get('mainEntityUuids'), revision=current_revision) | tasks.zip_publication_files.si(pub.projectId, revision=current_revision) | tasks.email_user_publication_request_confirmation.si(request.user.username) | tasks.check_published_files.si(pub.projectId, revision=current_revision, selected_files=selected_files)).apply_async()
        return JsonResponse({'success': 'Project is publishing.'}, status=200)


delete

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

Class description:
Implement the PeerGroupDBView class.

Method signatures and docstrings:
- def get(self, request, *args, **kwargs): Returns a list of PeerGroups by ids ou dict.
- def post(self, request, *args, **kwargs): Create new PeerGroup.
- def put(self, request, *args, **kwargs): Update PeerGroup.
- def delete(self, request, *args, **kwargs): Delete PeerGroup.

Implement the Python class `PeerGroupDBView` described below.

Class description:
Implement the PeerGroupDBView class.

Method signatures and docstrings:
- def get(self, request, *args, **kwargs): Returns a list of PeerGroups by ids ou dict.
- def post(self, request, *args, **kwargs): Create new PeerGroup.
- def put(self, request, *args, **kwargs): Update PeerGroup.
- def delete(self, request, *args, **kwargs): Delete PeerGroup.

<|skeleton|>
class PeerGroupDBView:

    def get(self, request, *args, **kwargs):
        """Returns a list of PeerGroups by ids ou dict."""
        <|body_0|>

    def post(self, request, *args, **kwargs):
        """Create new PeerGroup."""
        <|body_1|>

    def put(self, request, *args, **kwargs):
        """Update PeerGroup."""
        <|body_2|>

    def delete(self, request, *args, **kwargs):
        """Delete PeerGroup."""
        <|body_3|>

<|end_skeleton|>

<|body_start_0|>
        if not kwargs.get('obj_ids'):
            obj_model = facade.get_peer_group_by_search(self.search)
            objects = obj_model['query_set']
            only_main_property = False
        else:
            ids = kwargs.get('obj_ids').split(';')
            objects = facade.get_peer_group_by_ids(ids)
            only_main_property = True
            obj_model = None
        serializer = serializers.PeerGroupV4Serializer(objects, many=True, fields=self.fields, include=self.include, exclude=self.exclude, kind=self.kind)
        data = render_to_json(serializer, main_property='peer_groups', obj_model=obj_model, request=request, only_main_property=only_main_property)
        return Response(data, status=status.HTTP_200_OK)
<|end_body_0|>

<|body_start_1|>
        objects = request.DATA
        json_validate(SPECS.get('peer_group_post_v4')).validate(objects)
        response = list()
        for obj in objects['peer_groups']:
            created_obj = facade.create_peer_group(obj, request.user)
            response.append({'id': created_obj.id})
        return Response(response, status=status.HTTP_201_CREATED)
<|end_body_1|>

<|body_start_2|>
        objects = request.DATA
        json_validate(SPECS.get('peer_group_put_v4')).validate(objects)
        response = list()
        for obj in objects['peer_groups']:
            created_obj = facade.update_peer_group(obj, request.user)
            response.append({'id': created_obj.id})
        return Response(response, status=status.HTTP_200_OK)
<|end_body_2|>

<|body_start_3|>
        obj_ids = kwargs['obj_ids'].split(';')
        facade.delete_peer_group(obj_ids)
        return Response({}, status=status.HTTP_200_OK)
<|end_body_3|>

Solution:
class PeerGroupDBView:
    def get(self, request, *args, **kwargs):
        """Returns a list of PeerGroups by ids ou dict."""
        if not kwargs.get('obj_ids'):
            obj_model = facade.get_peer_group_by_search(self.search)
            objects = obj_model['query_set']
            only_main_property = False
        else:
            ids = kwargs.get('obj_ids').split(';')
            objects = facade.get_peer_group_by_ids(ids)
            only_main_property = True
            obj_model = None
        serializer = serializers.PeerGroupV4Serializer(objects, many=True, fields=self.fields, include=self.include, exclude=self.exclude, kind=self.kind)
        data = render_to_json(serializer, main_property='peer_groups', obj_model=obj_model, request=request, only_main_property=only_main_property)
        return Response(data, status=status.HTTP_200_OK)

    def post(self, request, *args, **kwargs):
        """Create new PeerGroup."""
        objects = request.DATA
        json_validate(SPECS.get('peer_group_post_v4')).validate(objects)
        response = list()
        for obj in objects['peer_groups']:
            created_obj = facade.create_peer_group(obj, request.user)
            response.append({'id': created_obj.id})
        return Response(response, status=status.HTTP_201_CREATED)

    def put(self, request, *args, **kwargs):
        """Update PeerGroup."""
        objects = request.DATA
        json_validate(SPECS.get('peer_group_put_v4')).validate(objects)
        response = list()
        for obj in objects['peer_groups']:
            created_obj = facade.update_peer_group(obj, request.user)
            response.append({'id': created_obj.id})
        return Response(response, status=status.HTTP_200_OK)

    def delete(self, request, *args, **kwargs):
        """Delete PeerGroup."""
        obj_ids = kwargs['obj_ids'].split(';')
        facade.delete_peer_group(obj_ids)
        return Response({}, status=status.HTTP_200_OK)


post

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

Class description:
Implement the SearchView class.

Method signatures and docstrings:
- def permissioned(view): View decorator that checks if a user has permission to access/edit the post specified in the url.
- def post(self, request: HttpRequest, course_id: int) -> HttpResponse: Post function for searching in courses

Implement the Python class `SearchView` described below.

Class description:
Implement the SearchView class.

Method signatures and docstrings:
- def permissioned(view): View decorator that checks if a user has permission to access/edit the post specified in the url.
- def post(self, request: HttpRequest, course_id: int) -> HttpResponse: Post function for searching in courses

<|skeleton|>
class SearchView:

    def permissioned(view):
        """View decorator that checks if a user has permission to access/edit the post specified in the url."""
        <|body_0|>

    def post(self, request: HttpRequest, course_id: int) -> HttpResponse:
        """Post function for searching in courses"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        def decorated_view(request: HttpRequest, course_id: int, *args, **kwargs):
            course = Course.objects.get(id=course_id)
            user = request.user
            is_instructor = user in course.instructors.all()
            is_student = user in course.students.all()
            if is_instructor or is_student:
                return view(request, course_id, *args, **kwargs)
            return HttpResponse('Unauthorized', status=401)
        return decorated_view
<|end_body_0|>

<|body_start_1|>
        payload = loads(request.body)
        result = []
        if payload.get('query', False):
            course = Course.objects.get(id=course_id)
            query_obj = Q(title__contains=payload['query']) | Q(content=payload['query'])
            search_results = course.posts.filter(query_obj).all()
            is_instructor = request.user in course.instructors.all()
            for post in search_results:
                if post.visibility == Post.Visibility.PUBLIC or post.author == request.user or request.user in post.course.instructors.all():
                    result.append(PostService.post_to_dict(post, is_instructor=is_instructor))
        return HttpResponse(dumps(result))
<|end_body_1|>

Solution:
class SearchView:
    def permissioned(view):
        """View decorator that checks if a user has permission to access/edit the post specified in the url."""
        def decorated_view(request: HttpRequest, course_id: int, *args, **kwargs):
            course = Course.objects.get(id=course_id)
            user = request.user
            is_instructor = user in course.instructors.all()
            is_student = user in course.students.all()
            if is_instructor or is_student:
                return view(request, course_id, *args, **kwargs)
            return HttpResponse('Unauthorized', status=401)
        return decorated_view

    def post(self, request: HttpRequest, course_id: int) -> HttpResponse:
        """Post function for searching in courses"""
        payload = loads(request.body)
        result = []
        if payload.get('query', False):
            course = Course.objects.get(id=course_id)
            query_obj = Q(title__contains=payload['query']) | Q(content=payload['query'])
            search_results = course.posts.filter(query_obj).all()
            is_instructor = request.user in course.instructors.all()
            for post in search_results:
                if post.visibility == Post.Visibility.PUBLIC or post.author == request.user or request.user in post.course.instructors.all():
                    result.append(PostService.post_to_dict(post, is_instructor=is_instructor))
        return HttpResponse(dumps(result))


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

Class description:
Implement the DTF class.

Method signatures and docstrings:
- def __init__(self, file_name): - file_name: edf file name string;
- def build_data(self): Returns: an array of data: rows must be channels and cols must be data points.
- def MVar_DTF(self): Fits Multivariate model on our data. Computes the DTF estimator. Returns: an array with inside as many matrices as the frequency range dimension.
- def final_dtf_matrix(self): Returns: final dtf matrix, without diagonal (no self-loops).
- def adj_matrix(self, density): Returns: The adjacency matrix obtained by applying the threshold (s.t density = 20%) on dtf matrix.
- def binary_heatmap(self, density, file_name): Returns: binary heatmap of adjacency matrix.

Implement the Python class `DTF` described below.

Class description:
Implement the DTF class.

Method signatures and docstrings:
- def __init__(self, file_name): - file_name: edf file name string;
- def build_data(self): Returns: an array of data: rows must be channels and cols must be data points.
- def MVar_DTF(self): Fits Multivariate model on our data. Computes the DTF estimator. Returns: an array with inside as many matrices as the frequency range dimension.
- def final_dtf_matrix(self): Returns: final dtf matrix, without diagonal (no self-loops).
- def adj_matrix(self, density): Returns: The adjacency matrix obtained by applying the threshold (s.t density = 20%) on dtf matrix.
- def binary_heatmap(self, density, file_name): Returns: binary heatmap of adjacency matrix.

<|skeleton|>
class DTF:

    def __init__(self, file_name):
        """- file_name: edf file name string;"""
        <|body_0|>

    def build_data(self):
        """Returns: an array of data: rows must be channels and cols must be data points."""
        <|body_1|>

    def MVar_DTF(self):
        """Fits Multivariate model on our data. Computes the DTF estimator. Returns: an array with inside as many matrices as the frequency range dimension."""
        <|body_2|>

    def final_dtf_matrix(self):
        """Returns: final dtf matrix, without diagonal (no self-loops)."""
        <|body_3|>

    def adj_matrix(self, density):
        """Returns: The adjacency matrix obtained by applying the threshold (s.t density = 20%) on dtf matrix."""
        <|body_4|>

    def binary_heatmap(self, density, file_name):
        """Returns: binary heatmap of adjacency matrix."""
        <|body_5|>

<|end_skeleton|>

<|body_start_0|>
        self.f = pyedflib.EdfReader(file_name)
        self.k = self.f.signals_in_file
        self.N = self.f.getNSamples()[0]
        self.fs = self.f.getSampleFrequency(0)
<|end_body_0|>

<|body_start_1|>
        data = np.zeros((self.k, self.N))
        for i in np.arange(self.k):
            data[i, :] = self.f.readSignal(i)
        return data
<|end_body_1|>

<|body_start_2|>
        data = self.build_data()
        A_matrix = cp.mvarmodel.Mvar.fit(data)[0]
        V_matrix = cp.mvarmodel.Mvar.fit(data)[1]
        dtf = cp.conn.dtf_fun(A_matrix, V_matrix, self.fs, self.fs // 2)
        freq_selection = dtf[7:13]
        return freq_selection
<|end_body_2|>

<|body_start_3|>
        freq_selection = self.MVar_DTF()
        mean_matrix = np.mean(freq_selection, 0)
        matrix_no_diagonal = mean_matrix - np.triu(np.tril(mean_matrix))
        return matrix_no_diagonal
<|end_body_3|>

<|body_start_4|>
        matrix_no_diagonal = self.final_dtf_matrix()
        thresholds = np.linspace(0.0, 1.0, 10000)
        densities = []
        for t in thresholds:
            adj_mat = np.zeros((self.k, self.k))
            adj_mat[matrix_no_diagonal >= t] = 1
            adj_mat[matrix_no_diagonal < t] = 0
            graph = nx.from_numpy_matrix(adj_mat, create_using=nx.DiGraph)
            densities.append(nx.density(graph))
        densities = np.asarray(densities)
        where = np.abs(densities - density).argmin()
        th = thresholds[where]
        result_adj_mat = np.zeros((self.k, self.k))
        result_adj_mat[matrix_no_diagonal >= th] = 1
        result_adj_mat[matrix_no_diagonal < th] = 0
        return result_adj_mat
<|end_body_4|>

<|body_start_5|>
        adj_mat = self.adj_matrix(density)
        fig, ax = plt.subplots()
        cmap = mpl.colors.ListedColormap(['k', 'c'])
        bounds = [0.0, 0.5, 1.0]
        norm = mpl.colors.BoundaryNorm(bounds, cmap.N)
        plt.title('Using DTF \n File: %s ' % file_name + ' Density: %f ' % density)
        ax.imshow(adj_mat, interpolation='none', cmap=cmap, norm=norm)
        plt.show()
<|end_body_5|>

Solution:
class DTF:
    def __init__(self, file_name):
        """- file_name: edf file name string;"""
        self.f = pyedflib.EdfReader(file_name)
        self.k = self.f.signals_in_file
        self.N = self.f.getNSamples()[0]
        self.fs = self.f.getSampleFrequency(0)

    def build_data(self):
        """Returns: an array of data: rows must be channels and cols must be data points."""
        data = np.zeros((self.k, self.N))
        for i in np.arange(self.k):
            data[i, :] = self.f.readSignal(i)
        return data

    def MVar_DTF(self):
        """Fits Multivariate model on our data. Computes the DTF estimator. Returns: an array with inside as many matrices as the frequency range dimension."""
        data = self.build_data()
        A_matrix = cp.mvarmodel.Mvar.fit(data)[0]
        V_matrix = cp.mvarmodel.Mvar.fit(data)[1]
        dtf = cp.conn.dtf_fun(A_matrix, V_matrix, self.fs, self.fs // 2)
        freq_selection = dtf[7:13]
        return freq_selection

    def final_dtf_matrix(self):
        """Returns: final dtf matrix, without diagonal (no self-loops)."""
        freq_selection = self.MVar_DTF()
        mean_matrix = np.mean(freq_selection, 0)
        matrix_no_diagonal = mean_matrix - np.triu(np.tril(mean_matrix))
        return matrix_no_diagonal

    def adj_matrix(self, density):
        """Returns: The adjacency matrix obtained by applying the threshold (s.t density = 20%) on dtf matrix."""
        matrix_no_diagonal = self.final_dtf_matrix()
        thresholds = np.linspace(0.0, 1.0, 10000)
        densities = []
        for t in thresholds:
            adj_mat = np.zeros((self.k, self.k))
            adj_mat[matrix_no_diagonal >= t] = 1
            adj_mat[matrix_no_diagonal < t] = 0
            graph = nx.from_numpy_matrix(adj_mat, create_using=nx.DiGraph)
            densities.append(nx.density(graph))
        densities = np.asarray(densities)
        where = np.abs(densities - density).argmin()
        th = thresholds[where]
        result_adj_mat = np.zeros((self.k, self.k))
        result_adj_mat[matrix_no_diagonal >= th] = 1
        result_adj_mat[matrix_no_diagonal < th] = 0
        return result_adj_mat

    def binary_heatmap(self, density, file_name):
        """Returns: binary heatmap of adjacency matrix."""
        adj_mat = self.adj_matrix(density)
        fig, ax = plt.subplots()
        cmap = mpl.colors.ListedColormap(['k', 'c'])
        bounds = [0.0, 0.5, 1.0]
        norm = mpl.colors.BoundaryNorm(bounds, cmap.N)
        plt.title('Using DTF \n File: %s ' % file_name + ' Density: %f ' % density)
        ax.imshow(adj_mat, interpolation='none', cmap=cmap, norm=norm)
        plt.show()


totalHammingDistance

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

Class description:
Implement the Solution class.

Method signatures and docstrings:
- def totalHammingDistance_bruteForce(self, nums: List[int]) -> int: Brute Force solution
- def totalHammingDistance(self, nums: List[int]) -> int: For each position i, count the frequency ones[i] of ones in nums. Total contribution from position i is (len(nums)-ones[i])*ones[i].

Implement the Python class `Solution` described below.

Class description:
Implement the Solution class.

Method signatures and docstrings:
- def totalHammingDistance_bruteForce(self, nums: List[int]) -> int: Brute Force solution
- def totalHammingDistance(self, nums: List[int]) -> int: For each position i, count the frequency ones[i] of ones in nums. Total contribution from position i is (len(nums)-ones[i])*ones[i].

<|skeleton|>
class Solution:

    def totalHammingDistance_bruteForce(self, nums: List[int]) -> int:
        """Brute Force solution"""
        <|body_0|>

    def totalHammingDistance(self, nums: List[int]) -> int:
        """For each position i, count the frequency ones[i] of ones in nums. Total contribution from position i is (len(nums)-ones[i])*ones[i]."""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        res = 0
        for i in range(len(nums)):
            for j in range(i, len(nums)):
                res += bin(nums[i] ^ nums[j]).count('1')
        return res
<|end_body_0|>

<|body_start_1|>
        ones, N = (collections.defaultdict(int), len(nums))
        for n in nums:
            s = bin(n)[::-1]
            for i in range(0, len(s)):
                if s[i] == '1':
                    ones[i] += 1
        return sum([(N - ones[i]) * ones[i] for i in ones])
<|end_body_1|>

Solution:
class Solution:
    def totalHammingDistance_bruteForce(self, nums: List[int]) -> int:
        """Brute Force solution"""
        res = 0
        for i in range(len(nums)):
            for j in range(i, len(nums)):
                res += bin(nums[i] ^ nums[j]).count('1')
        return res

    def totalHammingDistance(self, nums: List[int]) -> int:
        """For each position i, count the frequency ones[i] of ones in nums. Total contribution from position i is (len(nums)-ones[i])*ones[i]."""
        ones, N = (collections.defaultdict(int), len(nums))
        for n in nums:
            s = bin(n)[::-1]
            for i in range(0, len(s)):
                if s[i] == '1':
                    ones[i] += 1
        return sum([(N - ones[i]) * ones[i] for i in ones])


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

Class description:
订单列表资源

Method signatures and docstrings:
- def get(request): 显示订单列表
- def api_get(request): advanced table中订单列表

Implement the Python class `OrderList` described below.

Class description:
订单列表资源

Method signatures and docstrings:
- def get(request): 显示订单列表
- def api_get(request): advanced table中订单列表

<|skeleton|>
class OrderList:
    """订单列表资源"""

    def get(request):
        """显示订单列表"""
        <|body_0|>

    def api_get(request):
        """advanced table中订单列表"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        belong = request.GET.get('belong', 'all')
        order_status = request.GET.get('order_status', '-1')
        mall_type = request.user_profile.webapp_type
        woid = request.webapp_owner_id
        export2data = {}
        if belong == 'audit':
            second_nav_name = export.ORDER_AUDIT
            has_order = util.is_has_order(request, True)
            page_type = u'财务审核'
            export_jobs = ExportJob.objects.filter(woid=woid, type=3, is_download=0).order_by('-id')
            if export_jobs:
                export2data = {'woid': int(export_jobs[0].woid), 'status': 1 if export_jobs[0].status else 0, 'is_download': 1 if export_jobs[0].is_download else 0, 'id': int(export_jobs[0].id)}
        else:
            second_nav_name = export.ORDER_ALL
            has_order = util.is_has_order(request)
            page_type = u'所有订单'
            export_jobs = ExportJob.objects.filter(woid=woid, type=1, is_download=0).order_by('-id')
            if export_jobs:
                export2data = {'woid': int(export_jobs[0].woid), 'status': 1 if export_jobs[0].status else 0, 'is_download': 1 if export_jobs[0].is_download else 0, 'id': int(export_jobs[0].id)}
        if not export2data:
            export2data = {'woid': 0, 'status': 1, 'is_download': 1, 'id': 0, 'file_path': 0}
        c = RequestContext(request, {'first_nav_name': FIRST_NAV, 'second_navs': export.get_mall_order_second_navs(request), 'second_nav_name': second_nav_name, 'has_order': has_order, 'page_type': page_type, 'order_status': order_status, 'mall_type': mall_type, 'export2data': export2data})
        return render_to_response('mall/editor/orders.html', c)
<|end_body_0|>

<|body_start_1|>
        belong = request.GET.get('belong', 'all')
        if belong == 'all':
            return util.get_orders_response(request)
        else:
            return util.get_orders_response(request, True)
<|end_body_1|>

Solution:
class OrderList:
    """订单列表资源"""

    def get(request):
        """显示订单列表"""
        belong = request.GET.get('belong', 'all')
        order_status = request.GET.get('order_status', '-1')
        mall_type = request.user_profile.webapp_type
        woid = request.webapp_owner_id
        export2data = {}
        if belong == 'audit':
            second_nav_name = export.ORDER_AUDIT
            has_order = util.is_has_order(request, True)
            page_type = u'财务审核'
            export_jobs = ExportJob.objects.filter(woid=woid, type=3, is_download=0).order_by('-id')
            if export_jobs:
                export2data = {'woid': int(export_jobs[0].woid), 'status': 1 if export_jobs[0].status else 0, 'is_download': 1 if export_jobs[0].is_download else 0, 'id': int(export_jobs[0].id)}
        else:
            second_nav_name = export.ORDER_ALL
            has_order = util.is_has_order(request)
            page_type = u'所有订单'
            export_jobs = ExportJob.objects.filter(woid=woid, type=1, is_download=0).order_by('-id')
            if export_jobs:
                export2data = {'woid': int(export_jobs[0].woid), 'status': 1 if export_jobs[0].status else 0, 'is_download': 1 if export_jobs[0].is_download else 0, 'id': int(export_jobs[0].id)}
        if not export2data:
            export2data = {'woid': 0, 'status': 1, 'is_download': 1, 'id': 0, 'file_path': 0}
        c = RequestContext(request, {'first_nav_name': FIRST_NAV, 'second_navs': export.get_mall_order_second_navs(request), 'second_nav_name': second_nav_name, 'has_order': has_order, 'page_type': page_type, 'order_status': order_status, 'mall_type': mall_type, 'export2data': export2data})
        return render_to_response('mall/editor/orders.html', c)

    def api_get(request):
        """advanced table中订单列表"""
        belong = request.GET.get('belong', 'all')
        if belong == 'all':
            return util.get_orders_response(request)
        else:
            return util.get_orders_response(request, True)


forward

Prompt:
Implement the Python class `MidNet2` described below.

Class description:
Implement the MidNet2 class.

Method signatures and docstrings:
- def forward(self, x_in): Network with dilation rate 2 :param x_in: input convolutional features :returns: processed convolutional features :rtype: Tensor
- def __init__(self, in_channels=16): FIXME! briefly describe function :param in_channels: Input channels :returns: N/A :rtype: N/A

Implement the Python class `MidNet2` described below.

Class description:
Implement the MidNet2 class.

Method signatures and docstrings:
- def forward(self, x_in): Network with dilation rate 2 :param x_in: input convolutional features :returns: processed convolutional features :rtype: Tensor
- def __init__(self, in_channels=16): FIXME! briefly describe function :param in_channels: Input channels :returns: N/A :rtype: N/A

<|skeleton|>
class MidNet2:

    def forward(self, x_in):
        """Network with dilation rate 2 :param x_in: input convolutional features :returns: processed convolutional features :rtype: Tensor"""
        <|body_0|>

    def __init__(self, in_channels=16):
        """FIXME! briefly describe function :param in_channels: Input channels :returns: N/A :rtype: N/A"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        x = self.lrelu(self.conv1(x_in))
        x = self.lrelu(self.conv2(x))
        x = self.lrelu(self.conv3(x))
        x = self.conv4(x)
        return x
<|end_body_0|>

<|body_start_1|>
        super(MidNet2, self).__init__()
        self.lrelu = nn.LeakyReLU()
        self.conv1 = nn.Conv2d(in_channels, 64, 3, 1, 2, 2)
        self.conv2 = nn.Conv2d(64, 64, 3, 1, 2, 2)
        self.conv3 = nn.Conv2d(64, 64, 3, 1, 2, 2)
        self.conv4 = nn.Conv2d(64, 64, 3, 1, 2, 2)
<|end_body_1|>

Solution:
class MidNet2:
    def forward(self, x_in):
        """Network with dilation rate 2 :param x_in: input convolutional features :returns: processed convolutional features :rtype: Tensor"""
        x = self.lrelu(self.conv1(x_in))
        x = self.lrelu(self.conv2(x))
        x = self.lrelu(self.conv3(x))
        x = self.conv4(x)
        return x

    def __init__(self, in_channels=16):
        """FIXME! briefly describe function :param in_channels: Input channels :returns: N/A :rtype: N/A"""
        super(MidNet2, self).__init__()
        self.lrelu = nn.LeakyReLU()
        self.conv1 = nn.Conv2d(in_channels, 64, 3, 1, 2, 2)
        self.conv2 = nn.Conv2d(64, 64, 3, 1, 2, 2)
        self.conv3 = nn.Conv2d(64, 64, 3, 1, 2, 2)
        self.conv4 = nn.Conv2d(64, 64, 3, 1, 2, 2)