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if self._receiver_directory is None: self._receiver_directory = self.downloads_directory.parent return self._receiver_directory
def receiver_directory(self)
Parent directory of the downloads directory
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1.331817
filename = eval_path(filename) u = self.upload(filename, self.torrents_directory) t = self._load_torrent(u) if select: return t return t.submit()
def add_task_bt(self, filename, select=False)
Add a new BT task :param str filename: path to torrent file to upload :param bool select: whether to select files in the torrent. * True: it returns the opened torrent (:class:`.Torrent`) and can then iterate files in :attr:`.Torrent.files` and select/unsele...
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9.171226
0.997403
res = self._req_get_storage_info() if human: res['total'] = humanize.naturalsize(res['total'], binary=True) res['used'] = humanize.naturalsize(res['used'], binary=True) return res
def get_storage_info(self, human=False)
Get storage info :param bool human: whether return human-readable size :return: total and used storage :rtype: dict
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filename = eval_path(filename) if directory is None: directory = self.downloads_directory # First request res1 = self._req_upload(filename, directory) data1 = res1['data'] file_id = data1['file_id'] # Second request res2 = self._req_...
def upload(self, filename, directory=None)
Upload a file ``filename`` to ``directory`` :param str filename: path to the file to upload :param directory: destionation :class:`.Directory`, defaults to :attribute:`.API.downloads_directory` if None :return: the uploaded file :rtype: :class:`.File`
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url = obj.get_download_url(proapi) download(url, path=path, session=self.http.session, show_progress=show_progress, resume=resume, auto_retry=auto_retry)
def download(self, obj, path=None, show_progress=True, resume=True, auto_retry=True, proapi=False)
Download a file :param obj: :class:`.File` object :param str path: local path :param bool show_progress: whether to show download progress :param bool resume: whether to resume on unfinished downloads identified by filename :param bool auto_retry: whether to retry au...
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3.878629
0.731514
kwargs = {} kwargs['search_value'] = keyword root = self.root_directory entries = root._load_entries(func=self._req_files_search, count=count, page=1, **kwargs) res = [] for entry in entries: if 'pid' in entry: ...
def search(self, keyword, count=30)
Search files or directories :param str keyword: keyword :param int count: number of entries to be listed
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0.942862
fcids = [] for entry in entries: if isinstance(entry, File): fcid = entry.fid elif isinstance(entry, Directory): fcid = entry.cid else: raise APIError('Invalid BaseFile instance for an entry.') fcids...
def move(self, entries, directory)
Move one or more entries (file or directory) to the destination directory :param list entries: a list of source entries (:class:`.BaseFile` object) :param directory: destination directory :return: whether the action is successful :raise: :class:`.APIError` if somethi...
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3.135987
1.166758
fcid = None if isinstance(entry, File): fcid = entry.fid elif isinstance(entry, Directory): fcid = entry.cid else: raise APIError('Invalid BaseFile instance for an entry.') is_mark = 0 if mark is True: is_mark = 1 ...
def edit(self, entry, name, mark=False)
Edit an entry (file or directory) :param entry: :class:`.BaseFile` object :param str name: new name for the entry :param bool mark: whether to bookmark the entry
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pid = None cid = None if isinstance(parent, Directory): pid = parent.cid else: raise('Invalid Directory instance.') cid = self._req_files_add(pid, name)['cid'] return self._load_directory(cid)
def mkdir(self, parent, name)
Create a directory :param parent: the parent directory :param str name: the name of the new directory :return: the new directory :rtype: :class:`.Directory`
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url = 'http://115.com/' params = { 'ct': 'offline', 'ac': 'space', '_': get_timestamp(13) } _sign = os.environ.get('U115_BROWSER_SIGN') if _sign is not None: _time = os.environ.get('U115_BROWSER_TIME') if _time ...
def _req_offline_space(self)
Required before accessing lixian tasks
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url = 'http://115.com/lixian/' params = {'ct': 'lixian', 'ac': 'task_lists'} self._load_signatures() data = { 'page': page, 'uid': self.user_id, 'sign': self._signatures['offline_space'], 'time': self._lixian_timestamp, } ...
def _req_lixian_task_lists(self, page=1)
This request will cause the system to create a default downloads directory if it does not exist
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url = 'http://115.com/' params = { 'ct': 'lixian', 'ac': 'get_id', 'torrent': 1 if torrent else None, '_': get_timestamp(13) } req = Request(method='GET', url=url, params=params) res = self.http.send(req) return res...
def _req_lixian_get_id(self, torrent=False)
Get `cid` of lixian space directory
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self._load_signatures() url = 'http://115.com/lixian/' params = { 'ct': 'lixian', 'ac': 'torrent', } data = { 'pickcode': u.pickcode, 'sha1': u.sha, 'uid': self.user_id, 'sign': self._signatures['of...
def _req_lixian_torrent(self, u)
:param u: uploaded torrent file
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params = locals() del params['self'] req = Request(method='GET', url=self.aps_natsort_url, params=params) res = self.http.send(req) if res.state: return res.content else: raise RequestFailure('Failed to access files API.')
def _req_aps_natsort_files(self, cid, offset, limit, o='file_name', asc=1, aid=1, show_dir=1, code=None, scid=None, snap=0, natsort=1, source=None, type=0, format='json', star=None, is_share=None)
When :meth:`.API._req_files` is called with `o='filename'` and `natsort=1`, API access will fail and :meth:`.API._req_aps_natsort_files` is subsequently called with the same kwargs. Refer to the implementation in :meth:`.Directory.list`
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url = self.web_api_url + '/edit' data = locals() del data['self'] req = Request(method='POST', url=url, data=data) res = self.http.send(req) if res.state: return True else: raise RequestFailure('Failed to access files API.')
def _req_files_edit(self, fid, file_name=None, is_mark=0)
Edit a file or directory
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url = self.web_api_url + '/add' data = locals() del data['self'] req = Request(method='POST', url=url, data=data) res = self.http.send(req) if res.state: return res.content else: raise RequestFailure('Failed to access files API.')
def _req_files_add(self, pid, cname)
Add a directory :param str pid: parent directory id :param str cname: directory name
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url = self.web_api_url + '/move' data = {} data['pid'] = pid for i, fid in enumerate(fids): data['fid[%d]' % i] = fid req = Request(method='POST', url=url, data=data) res = self.http.send(req) if res.state: return True else...
def _req_files_move(self, pid, fids)
Move files or directories :param str pid: destination directory id :param list fids: a list of ids of files or directories to be moved
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res = self._req_files(cid=cid, offset=0, limit=1, show_dir=1) path = res['path'] count = res['count'] for d in path: if str(d['cid']) == str(cid): res = { 'cid': d['cid'], 'name': d['name'], ...
def _req_directory(self, cid)
Return name and pid of by cid
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self._upload_url = self._load_upload_url() self.http.get('http://upload.115.com/crossdomain.xml') b = os.path.basename(filename) target = 'U_1_' + str(directory.cid) files = { 'Filename': ('', quote(b), ''), 'target': ('', target, ''), ...
def _req_upload(self, filename, directory)
Raw request to upload a file ``filename``
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kwargs = self._req_directory(0) self._root_directory = Directory(api=self, **kwargs)
def _load_root_directory(self)
Load root directory, which has a cid of 0
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r = self._req_lixian_get_id(torrent=True) self._downloads_directory = self._load_directory(r['cid'])
def _load_torrents_directory(self)
Load torrents directory If it does not exist yet, this request will cause the system to create one
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r = self._req_lixian_get_id(torrent=False) self._downloads_directory = self._load_directory(r['cid'])
def _load_downloads_directory(self)
Load downloads directory If it does not exist yet, this request will cause the system to create one
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src_url = 'http://115.com' r = self.http.get(src_url) soup = BeautifulSoup(r.content) scripts = [script.text for script in soup.find_all('script')] text = '\n'.join(scripts) pattern = "%s\s*=\s*(.*);" % (variable.upper()) m = re.search(pattern, text) ...
def _parse_src_js_var(self, variable)
Parse JavaScript variables in the source page
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fcid = None pid = None if isinstance(self, File): fcid = self.fid pid = self.cid elif isinstance(self, Directory): fcid = self.cid pid = self.pid else: raise APIError('Invalid BaseFile instance.') if n...
def delete(self)
Delete this file or directory :return: whether deletion is successful :raise: :class:`.APIError` if this file or directory is already deleted
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self.api.edit(self, name, mark)
def edit(self, name, mark=False)
Edit this file or directory :param str name: new name for this entry :param bool mark: whether to bookmark this entry
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if self._directory is None: self._directory = self.api._load_directory(self.cid) return self._directory
def directory(self)
Directory that holds this file
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if self._download_url is None: self._download_url = \ self.api._req_files_download_url(self.pickcode, proapi) return self._download_url
def get_download_url(self, proapi=False)
Get this file's download URL :param bool proapi: whether to use pro API
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self.api.download(self, path, show_progress, resume, auto_retry, proapi)
def download(self, path=None, show_progress=True, resume=True, auto_retry=True, proapi=False)
Download this file
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res = self.api._req_file(self.fid) data = res['data'][0] self.name = data['file_name'] self.sha = data['sha1'] self.pickcode = data['pick_code']
def reload(self)
Reload file info and metadata * name * sha * pickcode
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if self._parent is None: if self.pid is not None: self._parent = self.api._load_directory(self.pid) return self._parent
def parent(self)
Parent directory that holds this directory
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r = self.api._req_directory(self.cid) self.pid = r['pid'] self.name = r['name'] self._count = r['count']
def reload(self)
Reload directory info and metadata * `name` * `pid` * `count`
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if entries is None: entries = [] res = \ func(offset=(page - 1) * self.max_entries_per_load, limit=self.max_entries_per_load, **kwargs) loaded_entries = [ entry for entry in res['data'][:count] ] #tota...
def _load_entries(self, func, count, page=1, entries=None, **kwargs)
Load entries :param function func: function (:meth:`.API._req_files` or :meth:`.API._req_search`) that returns entries :param int count: number of entries to load. This value should never be greater than self.count :param int page: page number (starting from 1)
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if self.cid is None: return False self.reload() kwargs = {} # `cid` is the only required argument kwargs['cid'] = self.cid kwargs['asc'] = 1 if asc is True else 0 kwargs['show_dir'] = 1 if show_dir is True else 0 kwargs['natsort'] = 1 ...
def list(self, count=30, order='user_ptime', asc=False, show_dir=True, natsort=True)
List directory contents :param int count: number of entries to be listed :param str order: order of entries, originally named `o`. This value may be one of `user_ptime` (default), `file_size` and `file_name` :param bool asc: whether in ascending order :param bool show_dir: w...
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if self.cid is None: msg = 'Cannot determine whether this task is a directory.' if not self.is_transferred: msg += ' This task has not been transferred.' raise TaskError(msg) return self.api.downloads_directory.cid != self.cid
def is_directory(self)
:return: whether this task is associated with a directory. :rtype: bool
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if not self._deleted: if self.api._req_lixian_task_del(self): self._deleted = True return True raise TaskError('This task is already deleted.')
def delete(self)
Delete task (does not influence its corresponding directory) :return: whether deletion is successful :raise: :class:`.TaskError` if the task is already deleted
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res = None if self._deleted: return 'DELETED' if self.status == 1: res = 'DOWNLOADING' elif self.status == 2: if self.move == 0: res = 'BEING TRANSFERRED' elif self.move == 1: res = 'TRANSFERRED' ...
def status_human(self)
Human readable status :return: * `DOWNLOADING`: the task is downloading files * `BEING TRANSFERRED`: the task is being transferred * `TRANSFERRED`: the task has been transferred to downloads \ directory * `SEARCHING RESOURCES`: the task is se...
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if not self.is_directory: msg = 'This task is a file task with no associated directory.' raise TaskError(msg) if self._directory is None: if self.is_transferred: self._directory = self.api._load_directory(self.cid) if self._directory i...
def directory(self)
Associated directory, if any, with this task
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return self.directory.list(count, order, asc, show_dir, natsort)
def list(self, count=30, order='user_ptime', asc=False, show_dir=True, natsort=True)
List files of the associated directory to this task. :param int count: number of entries to be listed :param str order: originally named `o` :param bool asc: whether in ascending order :param bool show_dir: whether to show directories
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if self.api._req_lixian_add_task_bt(self): self.submitted = True return True return False
def submit(self)
Submit this torrent and create a new task
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manifest = self.storage.load_manifest() if self.keep_unhashed_files: if PY3: needful_files = set(manifest.keys() | manifest.values()) else: needful_files = set(manifest.keys() + manifest.values()) needful_files = {self.storage....
def get_needful_files(self)
Returns currently used static files. Assumes that manifest staticfiles.json is up-to-date.
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for field in model._meta.fields: if isinstance(field, models.FileField): yield field
def model_file_fields(self, model)
Generator yielding all instances of FileField and its subclasses of a model.
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resource_types = set() for model in self.models(): for field in self.model_file_fields(model): resource_type = field.storage.RESOURCE_TYPE resource_types.add(resource_type) return resource_types
def get_resource_types(self)
Returns set of resource types of FileFields of all registered models. Needed by Cloudinary as resource type is needed to browse or delete specific files.
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needful_files = [] for model in self.models(): media_fields = [] for field in self.model_file_fields(model): media_fields.append(field.name) if media_fields: exclude_options = {media_field: '' for media_field in media_fields} ...
def get_needful_files(self)
Returns set of media files associated with models. Those files won't be deleted.
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files_to_remove = {} needful_files = self.get_needful_files() for resources_type, resources in self.get_uploaded_resources(): exclude_paths = self.get_exclude_paths() resources = {resource for resource in resources if not resource.startswith(exclude_paths)} ...
def get_files_to_remove(self)
Returns orphaned media files to be removed grouped by resource type. All files which paths start with any of exclude paths are ignored.
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extension = self._get_file_extension(name) if extension is None: return self.RESOURCE_TYPE elif extension in app_settings.STATIC_IMAGES_EXTENSIONS: return RESOURCE_TYPES['IMAGE'] elif extension in app_settings.STATIC_VIDEOS_EXTENSIONS: return ...
def _get_resource_type(self, name)
Implemented as static files can be of different resource types. Because web developers are the people who control those files, we can distinguish them simply by looking at their extensions, we don't need any content based validation.
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file_resource_type = self._get_resource_type(name) if file_resource_type is None or file_resource_type == self.RESOURCE_TYPE: return name else: extension = self._get_file_extension(name) return name[:-len(extension) - 1]
def _remove_extension_for_non_raw_file(self, name)
Implemented as image and video files' Cloudinary public id shouldn't contain file extensions, otherwise Cloudinary url would contain doubled extension - Cloudinary adds extension to url to allow file conversion to arbitrary file, like png to jpg.
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url = self._get_url(name) response = requests.head(url) if response.status_code == 404: return False etag = response.headers['ETAG'].split('"')[1] hash = self.file_hash(name, content) return etag.startswith(hash)
def _exists_with_etag(self, name, content)
Checks whether a file with a name and a content is already uploaded to Cloudinary. Uses ETAG header and MD5 hash for the content comparison.
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name = self.clean_name(name) # to change to UNIX style path on windows if necessary if not self._exists_with_etag(name, content): content.seek(0) super(StaticCloudinaryStorage, self)._save(name, content) return self._prepend_prefix(name)
def _save(self, name, content)
Saves only when a file with a name and a content is not already uploaded to Cloudinary.
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pk = str(pk) if pk in self.items: existing_item = self.items[pk] existing_item.quantity += _clean_quantity(quantity) else: queryset = self.get_queryset([pk]) try: obj = queryset[0] except IndexError: ...
def add(self, pk, quantity=1, **kwargs)
Add an item to the cart. If the item is already in the cart, then its quantity will be increased by `quantity` units. Parameters ---------- pk : str or int The primary key of the item. quantity : int-convertible A number of units of to add. ...
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pk = str(pk) try: item = self.items[pk] except KeyError: raise ItemNotInCart(pk=pk) item.quantity = quantity self.update()
def change_quantity(self, pk, quantity)
Change the quantity of an item. Parameters ---------- pk : str or int The primary key of the item. quantity : int-convertible A new quantity. Raises ------ ItemNotInCart NegativeItemQuantity NonConvertibleItemQuantity ...
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pk = str(pk) try: del self.items[pk] except KeyError: raise ItemNotInCart(pk=pk) self.update()
def remove(self, pk)
Remove an item from the cart. Parameters ---------- pk : str or int The primary key of the item. Raises ------ ItemNotInCart
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items = list(self.items.values()) if sort_key: items.sort(key=sort_key, reverse=reverse) return items
def list_items(self, sort_key=None, reverse=False)
Return a list of cart items. Parameters ---------- sort_key : func A function to customize the list order, same as the 'key' argument to the built-in :func:`sorted`. reverse: bool If set to True, the sort order will be reversed. Returns ...
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items = {} # The prices are converted to strings, because they may have a # type that can't be serialized to JSON (e.g. Decimal). for item in self.items.values(): pk = str(item.obj.pk) items[pk] = { 'price': str(item.price), ...
def encode(self, formatter=None)
Return a representation of the cart as a JSON-response. Parameters ---------- formatter : func, optional A function that accepts the cart representation and returns its formatted version. Returns ------- django.http.JsonResponse Examples...
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pks = list(session_items.keys()) items = {} item_class = self.item_class process_object = self.process_object for obj in self.get_queryset(pks): pk = str(obj.pk) obj = process_object(obj) items[pk] = item_class(obj, **session_items[pk]...
def create_items(self, session_items)
Instantiate cart items from session data. The value returned by this method is used to populate the cart's `items` attribute. Parameters ---------- session_items : dict A dictionary of pk-quantity mappings (each pk is a string). For example: ``{'1': 5, '...
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self.item_count = self.count_items() self.total_price = self.count_total_price() # Update the session session = self.request.session session_items = {} for pk, item in self.items.items(): session_items[pk] = dict(quantity=item.quantity, **item._kwargs...
def update(self)
Update the cart. First this method updates attributes dependent on the cart's `items`, such as `total_price` or `item_count`. After that, it saves the new cart state to the session. Generally, you'll need to call this method by yourself, only when implementing new methods that ...
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if unique: return len(self.items) return sum([item.quantity for item in self.items.values()])
def count_items(self, unique=True)
Count items in the cart. Parameters ---------- unique : bool-convertible, optional Returns ------- int If `unique` is truthy, then the result is the number of items in the cart. Otherwise, it's the sum of all item quantities.
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if (settings.STATICFILES_STORAGE == 'cloudinary_storage.storage.StaticCloudinaryStorage' or self.upload_unhashed_files): super(Command, self).copy_file(path, prefixed_path, source_storage)
def copy_file(self, path, prefixed_path, source_storage)
Overwritten to execute only with --upload-unhashed-files param or StaticCloudinaryStorage. Otherwise only hashed files will be uploaded during postprocessing.
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X = initial_array if acceptance_criteria is not None: acceptance_bound = acceptance_criteria(X) iterations = 0 current_energy = objective_function(X) while current_energy > lower_bound and iterations <= max_iterations: iterations += 1 candidate = element_from_neighbo...
def hill_climber(objective_function, initial_array, lower_bound=-float('inf'), acceptance_criteria=None, max_iterations=10 ** 3)
Implement a basic hill climbing algorithm. Has two stopping conditions: 1. Maximum number of iterations; 2. A known lower bound, a none is passed then this is not used. If acceptance_criteria (a callable) is not None then this is used to obtain an upper bound on some other measure (different to t...
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0.975619
X = initial_array if acceptance_criteria is not None: acceptance_bound = acceptance_criteria(X) best_X = X iterations = 0 current_energy = objective_function(X) best_energy = current_energy temperature = initial_temperature while current_energy > lower_bound and iteration...
def simulated_annealing(objective_function, initial_array, initial_temperature=10 ** 4, cooldown_rate=0.7, acceptance_criteria=None, lower_bound=-float('inf'), max_iterations=1...
Implement a simulated annealing algorithm with exponential cooling Has two stopping conditions: 1. Maximum number of iterations; 2. A known lower bound, a none is passed then this is not used. Note that starting with an initial_temperature corresponds to a hill climbing algorithm
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slot_availability_array = lpu.slot_availability_array(slots=slots, events=events) label = 'Event scheduled when not available' for row, event in enumerate(slot_availability_array): for col, availability in enumerate(event): ...
def _events_available_in_scheduled_slot(events, slots, X, **kwargs)
Constraint that ensures that an event is scheduled in slots for which it is available
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summation = lpu.summation_functions[summation_type] event_availability_array = lpu.event_availability_array(events) label = 'Event clashes with another event' for slot1, slot2 in lpu.concurrent_slots(slots): for row, event in enumerate(event_availability_array): if events[row]....
def _events_available_during_other_events( events, slots, X, summation_type=None, **kwargs )
Constraint that ensures that an event is not scheduled at the same time as another event for which it is unavailable. Unavailability of events is either because it is explicitly defined or because they share a tag.
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label = 'Artificial upper bound constraint' for row, event in enumerate(events): for col, slot in enumerate(slots): yield Constraint( f'{label} - slot: {col} and event: {row}', event.demand * X[row, col] - slot.capacity <= beta)
def _upper_bound_on_event_overflow( events, slots, X, beta, summation_type=None, **kwargs )
This is an artificial constraint that is used by the objective function aiming to minimise the maximum overflow in a slot.
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1.248472
def count_violations(array): return len(list(val.array_violations(array, events, slots))) if initial_solution is None: X = heu.get_initial_array(events=events, slots=slots) X = algorithm(initial_array=X, objective_function=count_violations, ...
def heuristic(events, slots, objective_function=None, algorithm=heu.hill_climber, initial_solution=None, initial_solution_algorithm_kwargs={}, objective_function_algorithm_kwargs={}, **kwargs)
Compute a schedule using a heuristic Parameters ---------- events : list or tuple of :py:class:`resources.Event` instances slots : list or tuple of :py:class:`resources.Slot` instances algorithm : callable a heuristic algorithm from conference_scheduler.heuristics initial...
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shape = Shape(len(events), len(slots)) problem = pulp.LpProblem() X = lp.utils.variables(shape) beta = pulp.LpVariable("upper_bound") for constraint in lp.constraints.all_constraints( events, slots, X, beta, 'lpsum' ): problem += constraint.condition if objective_funct...
def solution(events, slots, objective_function=None, solver=None, **kwargs)
Compute a schedule in solution form Parameters ---------- events : list or tuple of :py:class:`resources.Event` instances slots : list or tuple of :py:class:`resources.Slot` instances solver : pulp.solver a pulp solver objective_function: callable from lp_problem...
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return conv.solution_to_array( solution(events, slots, objective_function, solver=solver, **kwargs), events, slots )
def array(events, slots, objective_function=None, solver=None, **kwargs)
Compute a schedule in array form Parameters ---------- events : list or tuple of :py:class:`resources.Event` instances slots : list or tuple of :py:class:`resources.Slot` instances objective_function : callable from lp_problem.objective_functions Returns ------- ...
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return conv.solution_to_schedule( solution(events, slots, objective_function, solver=solver, **kwargs), events, slots )
def schedule(events, slots, objective_function=None, solver=None, **kwargs)
Compute a schedule in schedule form Parameters ---------- events : list or tuple of :py:class:`resources.Event` instances slots : list or tuple of :py:class:`resources.Slot` instances solver : pulp.solver a pulp solver objective_function : callable from lp_proble...
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old = {item.event.name: item for item in old_schedule} new = {item.event.name: item for item in new_schedule} common_events = set(old.keys()).intersection(new.keys()) added_events = new.keys() - old.keys() removed_events = old.keys() - new.keys() changed = [ ChangedEventScheduledI...
def event_schedule_difference(old_schedule, new_schedule)
Compute the difference between two schedules from an event perspective Parameters ---------- old_schedule : list or tuple of :py:class:`resources.ScheduledItem` objects new_schedule : list or tuple of :py:class:`resources.ScheduledItem` objects Returns ------- list ...
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old = {item.slot: item for item in old_schedule} new = {item.slot: item for item in new_schedule} common_slots = set(old.keys()).intersection(new.keys()) added_slots = new.keys() - old.keys() removed_slots = old.keys() - new.keys() changed = [ ChangedSlotScheduledItem( ...
def slot_schedule_difference(old_schedule, new_schedule)
Compute the difference between two schedules from a slot perspective Parameters ---------- old_schedule : list or tuple of :py:class:`resources.ScheduledItem` objects new_schedule : list or tuple of :py:class:`resources.ScheduledItem` objects Returns ------- list A ...
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return ( c.label for c in constraints.all_constraints(events, slots, array, beta=beta) if not c.condition )
def array_violations(array, events, slots, beta=None)
Take a schedule in array form and return any violated constraints Parameters ---------- array : np.array a schedule in array form events : list or tuple of resources.Event instances slots : list or tuple of resources.Slot instances constraints...
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if len(array) == 0: return False violations = sum(1 for c in (array_violations(array, events, slots))) return violations == 0
def is_valid_array(array, events, slots)
Take a schedule in array form and return whether it is a valid solution for the given constraints Parameters ---------- array : np.array a schedule in array form events : list or tuple of resources.Event instances slots : list or tuple of resource...
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if len(solution) == 0: return False array = converter.solution_to_array(solution, events, slots) return is_valid_array(array, events, slots)
def is_valid_solution(solution, events, slots)
Take a solution and return whether it is valid for the given constraints Parameters ---------- solution: list or tuple a schedule in solution form events : list or tuple of resources.Event instances slots : list or tuple of resources.Slot instance...
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array = converter.solution_to_array(solution, events, slots) return array_violations(array, events, slots)
def solution_violations(solution, events, slots)
Take a solution and return a list of violated constraints Parameters ---------- solution: list or tuple a schedule in solution form events : list or tuple of resources.Event instances slots : list or tuple of resources.Slot instances Returns ...
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if len(schedule) == 0: return False array = converter.schedule_to_array(schedule, events, slots) return is_valid_array(array, events, slots)
def is_valid_schedule(schedule, events, slots)
Take a schedule and return whether it is a valid solution for the given constraints Parameters ---------- schedule : list or tuple a schedule in schedule form events : list or tuple of resources.Event instances slots : list or tuple of resources.S...
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array = converter.schedule_to_array(schedule, events, slots) return array_violations(array, events, slots)
def schedule_violations(schedule, events, slots)
Take a schedule and return a list of violated constraints Parameters ---------- schedule : list or tuple a schedule in schedule form events : list or tuple of resources.Event instances slots : list or tuple of resources.Slot instances Returns ...
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all_tags = sorted(set(tag for event in events for tag in event.tags)) array = np.zeros((len(events), len(all_tags))) for row, event in enumerate(events): for tag in event.tags: array[row, all_tags.index(tag)] = 1 return array
def tag_array(events)
Return a numpy array mapping events to tags - Rows corresponds to events - Columns correspond to tags
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# Flatten the list: this assumes that the sessions do not share slots sessions = sorted(set([slot.session for slot in slots])) array = np.zeros((len(sessions), len(slots))) for col, slot in enumerate(slots): array[sessions.index(slot.session), col] = 1 return array
def session_array(slots)
Return a numpy array mapping sessions to slots - Rows corresponds to sessions - Columns correspond to slots
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array = np.ones((len(events), len(slots))) for row, event in enumerate(events): for col, slot in enumerate(slots): if slot in event.unavailability or event.duration > slot.duration: array[row, col] = 0 return array
def slot_availability_array(events, slots)
Return a numpy array mapping events to slots - Rows corresponds to events - Columns correspond to stags Array has value 0 if event cannot be scheduled in a given slot (1 otherwise)
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array = np.ones((len(events), len(events))) for row, event in enumerate(events): for col, other_event in enumerate(events): if row != col: tags = set(event.tags) events_share_tag = len(tags.intersection(other_event.tags)) > 0 if (other_eve...
def event_availability_array(events)
Return a numpy array mapping events to events - Rows corresponds to events - Columns correspond to events Array has value 0 if event cannot be scheduled at same time as other event (1 otherwise)
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slot_ends_at = ends_at(slot) other_ends_at = ends_at(other_slot) if (slot.starts_at >= other_slot.starts_at and slot_ends_at <= other_ends_at ): return True if (other_slot.starts_at >= slot.starts_at and other_ends_at <= slot_ends_at ): return True return...
def slots_overlap(slot, other_slot)
Return boolean: whether or not two events overlap
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for i, slot in enumerate(slots): for j, other_slot in enumerate(slots[i + 1:]): if slots_overlap(slot, other_slot): yield (i, j + i + 1)
def concurrent_slots(slots)
Yields all concurrent slot indices.
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event_categories = np.nonzero(tag_array[talk])[0] return np.nonzero(sum(tag_array.transpose()[event_categories]) == 0)[0]
def _events_with_diff_tag(talk, tag_array)
Return the indices of the events with no tag in common as tag
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array = np.zeros((len(events), len(slots)), dtype=np.int8) for item in solution: array[item[0], item[1]] = 1 return array
def solution_to_array(solution, events, slots)
Convert a schedule from solution to array form Parameters ---------- solution : list or tuple of tuples of event index and slot index for each scheduled item events : list or tuple of :py:class:`resources.Event` instances slots : list or tuple of :py:class:`resources.Slot` i...
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return [ ScheduledItem( event=events[item[0]], slot=slots[item[1]] ) for item in solution ]
def solution_to_schedule(solution, events, slots)
Convert a schedule from solution to schedule form Parameters ---------- solution : list or tuple of tuples of event index and slot index for each scheduled item events : list or tuple of :py:class:`resources.Event` instances slots : list or tuple of :py:class:`resources.Slot...
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3.836957
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array = np.zeros((len(events), len(slots)), dtype=np.int8) for item in schedule: array[events.index(item.event), slots.index(item.slot)] = 1 return array
def schedule_to_array(schedule, events, slots)
Convert a schedule from schedule to array form Parameters ---------- schedule : list or tuple of instances of :py:class:`resources.ScheduledItem` events : list or tuple of :py:class:`resources.Event` instances slots : list or tuple of :py:class:`resources.Slot` instances ...
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scheduled = np.transpose(np.nonzero(array)) return [ ScheduledItem(event=events[item[0]], slot=slots[item[1]]) for item in scheduled ]
def array_to_schedule(array, events, slots)
Convert a schedule from array to schedule form Parameters ---------- array : np.array An E by S array (X) where E is the number of events and S the number of slots. Xij is 1 if event i is scheduled in slot j and zero otherwise events : list or tuple of :py:class:`resourc...
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if 'conference_scheduler.scheduler' in source: module = 'scheduler' else: module = 'resources' rst[module].append(line) self.directive.result.append(self.indent + line, source, *lineno)
def add_line(self, line, source, *lineno)
Append one line of generated reST to the output.
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overflow = 0 for row, event in enumerate(events): for col, slot in enumerate(slots): overflow += (event.demand - slot.capacity) * X[row, col] return overflow
def efficiency_capacity_demand_difference(slots, events, X, **kwargs)
A function that calculates the total difference between demand for an event and the slot capacity it is scheduled in.
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changes = 0 original_array = schedule_to_array(original_schedule, events=events, slots=slots) for row, event in enumerate(original_array): for col, slot in enumerate(event): if slot == 0: changes += X[row, col] else:...
def number_of_changes(slots, events, original_schedule, X, **kwargs)
A function that counts the number of changes between a given schedule and an array (either numpy array of lp array).
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m, n = X.shape new_X = np.copy(X) event_to_move = np.random.randint(m) current_event_slot = np.where(new_X[event_to_move, :] == 1)[0][0] slot_to_move_to = np.random.randint(n - 1) if slot_to_move_to >= current_event_slot: slot_to_move_to += 1 scheduled_events_in_slot = np.whe...
def element_from_neighbourhood(X)
Randomly move an event: - Either to an empty slot - Swapping with another event
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if seed is not None: np.random.seed(seed) m = len(events) n = len(slots) X = np.zeros((m, n)) for i, row in enumerate(X): X[i, i] = 1 np.random.shuffle(X) return X
def get_initial_array(events, slots, seed=None)
Obtain a random initial array.
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''' Append running bitwise FCS CRC checksum to end of generator ''' fcs = FCS() for bit in bits: yield bit fcs.update_bit(bit) # test = bitarray() # for byte in (digest & 0xff, digest >> 8): # print byte # for i in range(8): # b = (byte >> i) & 1 == 1 # test.append(b) # yield b # append fcs digest t...
def fcs(bits)
Append running bitwise FCS CRC checksum to end of generator
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''' Encode binary data using Bell-202 AFSK Expects a bitarray.bitarray() object of binary data as its argument. Returns a generator of sound samples suitable for use with the audiogen module. ''' framed_data = frame(binary_data) # set volume to 1/2, preceed packet with 1/20 s silence to allow for startup gl...
def encode(binary_data)
Encode binary data using Bell-202 AFSK Expects a bitarray.bitarray() object of binary data as its argument. Returns a generator of sound samples suitable for use with the audiogen module.
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''' Generate Bell 202 AFSK samples for the given symbol generator Consumes raw wire symbols and produces the corresponding AFSK samples. ''' seconds_per_sample = 1.0 / audiogen.sampler.FRAME_RATE phase, seconds, bits = 0, 0, 0 # construct generators clock = (x / BAUD_RATE for x in itertools.count(1)) tones ...
def modulate(data)
Generate Bell 202 AFSK samples for the given symbol generator Consumes raw wire symbols and produces the corresponding AFSK samples.
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''' Packet uses NRZI (non-return to zero inverted) encoding, which means that a 0 is encoded as a change in tone, and a 1 is encoded as no change in tone. ''' current = True for bit in data: if not bit: current = not current yield current
def nrzi(data)
Packet uses NRZI (non-return to zero inverted) encoding, which means that a 0 is encoded as a change in tone, and a 1 is encoded as no change in tone.
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response = self.session.get(url) if response.status_code == requests.codes.ok: return response.json() else: raise HTTPError
def _get_sync(self, url)
Internal method used for GET requests Args: url (str): URL to fetch Returns: Individual URL request's response Raises: HTTPError: If HTTP request failed.
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data = None async with session.get(url) as resp: if resp.status == 200: data = await resp.json() return data
async def _get_async(self, url, session)
Asynchronous internal method used for GET requests Args: url (str): URL to fetch session (obj): aiohttp client session for async loop Returns: data (obj): Individual URL request's response corountine
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results = [] async with aiohttp.ClientSession( connector=aiohttp.TCPConnector(ssl=False) ) as session: for url in urls: result = asyncio.ensure_future(self._get_async(url, session)) results.append(result) responses = aw...
async def _async_loop(self, urls)
Asynchronous internal method used to request multiple URLs Args: urls (list): URLs to fetch Returns: responses (obj): All URL requests' response coroutines
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loop = asyncio.get_event_loop() results = loop.run_until_complete(self._async_loop(urls)) return results
def _run_async(self, urls)
Asynchronous event loop execution Args: urls (list): URLs to fetch Returns: results (obj): All URL requests' responses
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url = urljoin(self.base_url, F"{page}.json") story_ids = self._get_sync(url)[:limit] return self.get_items_by_ids(item_ids=story_ids)
def _get_stories(self, page, limit)
Hacker News has different categories (i.e. stories) like 'topstories', 'newstories', 'askstories', 'showstories', 'jobstories'. This method, first fetches the relevant story ids of that category The URL is: https://hacker-news.firebaseio.com/v0/<story_name>.json e.g. https://hacker-new...
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url = urljoin(self.item_url, F"{item_id}.json") response = self._get_sync(url) if not response: raise InvalidItemID item = Item(response) if expand: item.by = self.get_user(item.by) item.kids = self.get_items_by_ids(item.kids) if ite...
def get_item(self, item_id, expand=False)
Returns Hacker News `Item` object. Fetches the data from url: https://hacker-news.firebaseio.com/v0/item/<item_id>.json e.g. https://hacker-news.firebaseio.com/v0/item/69696969.json Args: item_id (int or string): Unique item id of Hacker News story, comment...
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