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e826d800677a519603d82b41940f82d450679354f42ff6d14e54cccd34d05b16
def add_to_blacklist(self, rowid): '\n Add row to blacklist.\n ' self.info('blacklisting: row=%d', rowid) self.blacklist.add(rowid)
Add row to blacklist.
pydarkstar/auction/manager.py
add_to_blacklist
Korrbit/pydarkstar
0
python
def add_to_blacklist(self, rowid): '\n \n ' self.info('blacklisting: row=%d', rowid) self.blacklist.add(rowid)
def add_to_blacklist(self, rowid): '\n \n ' self.info('blacklisting: row=%d', rowid) self.blacklist.add(rowid)<|docstring|>Add row to blacklist.<|endoftext|>
6d3b5700ef07c51c127200f1b9a9f8dffbc49fa0297cf92a70527845616255ea
def buy_items(self, itemdata): '\n The main buy item loop.\n ' with self.scopped_session(fail=self.fail) as session: q = session.query(AuctionHouse).filter((AuctionHouse.seller != self.seller.seller), (AuctionHouse.sell_date == 0), (AuctionHouse.sale == 0)) for row in q: with self.capture(fail=self.fail): if (row.id not in self.blacklist): try: data = itemdata[row.itemid] except KeyError: self.error('item missing from database: %d', row.itemid) data = None if (data is not None): if row.stack: if data.buy12: if (row.price <= data.price12): date = timeutils.timestamp(datetime.datetime.now()) self.buyer.buy_item(row, date, data.price12) dboxCount = session.query(DeliveryBox).filter((DeliveryBox.charname == row.seller_name)).count() dboxSend = DeliveryBox(charid=row.seller, charname=row.seller_name, box=1, slot=dboxCount, itemid=65535, itemsubid=0, quantity=row.sale, senderid=0, sender='AH-Jeuno', received=0, sent=0) session.add(dboxSend) else: self.info('price too high! itemid=%d %d <= %d', row.itemid, row.price, data.price12) self.add_to_blacklist(row.id) else: self.debug('not allowed to buy item! itemid=%d', row.itemid) self.add_to_blacklist(row.id) elif data.buy01: if (row.price <= data.price01): date = timeutils.timestamp(datetime.datetime.now()) self.buyer.buy_item(row, date, data.price01) dboxCount = session.query(DeliveryBox).filter((DeliveryBox.charname == row.seller_name)).count() dboxSend = DeliveryBox(charid=row.seller, charname=row.seller_name, box=1, slot=dboxCount, itemid=65535, itemsubid=0, quantity=row.sale, senderid=0, sender='AH-Jeuno', received=0, sent=0) session.add(dboxSend) else: self.info('price too high! itemid=%d %d <= %d', row.itemid, row.price, data.price01) self.add_to_blacklist(row.id) else: self.debug('not allowed to buy item! itemid=%d', row.itemid) self.add_to_blacklist(row.id) else: self.add_to_blacklist(row.id) else: self.debug('skipping row %d', row.id)
The main buy item loop.
pydarkstar/auction/manager.py
buy_items
Korrbit/pydarkstar
0
python
def buy_items(self, itemdata): '\n \n ' with self.scopped_session(fail=self.fail) as session: q = session.query(AuctionHouse).filter((AuctionHouse.seller != self.seller.seller), (AuctionHouse.sell_date == 0), (AuctionHouse.sale == 0)) for row in q: with self.capture(fail=self.fail): if (row.id not in self.blacklist): try: data = itemdata[row.itemid] except KeyError: self.error('item missing from database: %d', row.itemid) data = None if (data is not None): if row.stack: if data.buy12: if (row.price <= data.price12): date = timeutils.timestamp(datetime.datetime.now()) self.buyer.buy_item(row, date, data.price12) dboxCount = session.query(DeliveryBox).filter((DeliveryBox.charname == row.seller_name)).count() dboxSend = DeliveryBox(charid=row.seller, charname=row.seller_name, box=1, slot=dboxCount, itemid=65535, itemsubid=0, quantity=row.sale, senderid=0, sender='AH-Jeuno', received=0, sent=0) session.add(dboxSend) else: self.info('price too high! itemid=%d %d <= %d', row.itemid, row.price, data.price12) self.add_to_blacklist(row.id) else: self.debug('not allowed to buy item! itemid=%d', row.itemid) self.add_to_blacklist(row.id) elif data.buy01: if (row.price <= data.price01): date = timeutils.timestamp(datetime.datetime.now()) self.buyer.buy_item(row, date, data.price01) dboxCount = session.query(DeliveryBox).filter((DeliveryBox.charname == row.seller_name)).count() dboxSend = DeliveryBox(charid=row.seller, charname=row.seller_name, box=1, slot=dboxCount, itemid=65535, itemsubid=0, quantity=row.sale, senderid=0, sender='AH-Jeuno', received=0, sent=0) session.add(dboxSend) else: self.info('price too high! itemid=%d %d <= %d', row.itemid, row.price, data.price01) self.add_to_blacklist(row.id) else: self.debug('not allowed to buy item! itemid=%d', row.itemid) self.add_to_blacklist(row.id) else: self.add_to_blacklist(row.id) else: self.debug('skipping row %d', row.id)
def buy_items(self, itemdata): '\n \n ' with self.scopped_session(fail=self.fail) as session: q = session.query(AuctionHouse).filter((AuctionHouse.seller != self.seller.seller), (AuctionHouse.sell_date == 0), (AuctionHouse.sale == 0)) for row in q: with self.capture(fail=self.fail): if (row.id not in self.blacklist): try: data = itemdata[row.itemid] except KeyError: self.error('item missing from database: %d', row.itemid) data = None if (data is not None): if row.stack: if data.buy12: if (row.price <= data.price12): date = timeutils.timestamp(datetime.datetime.now()) self.buyer.buy_item(row, date, data.price12) dboxCount = session.query(DeliveryBox).filter((DeliveryBox.charname == row.seller_name)).count() dboxSend = DeliveryBox(charid=row.seller, charname=row.seller_name, box=1, slot=dboxCount, itemid=65535, itemsubid=0, quantity=row.sale, senderid=0, sender='AH-Jeuno', received=0, sent=0) session.add(dboxSend) else: self.info('price too high! itemid=%d %d <= %d', row.itemid, row.price, data.price12) self.add_to_blacklist(row.id) else: self.debug('not allowed to buy item! itemid=%d', row.itemid) self.add_to_blacklist(row.id) elif data.buy01: if (row.price <= data.price01): date = timeutils.timestamp(datetime.datetime.now()) self.buyer.buy_item(row, date, data.price01) dboxCount = session.query(DeliveryBox).filter((DeliveryBox.charname == row.seller_name)).count() dboxSend = DeliveryBox(charid=row.seller, charname=row.seller_name, box=1, slot=dboxCount, itemid=65535, itemsubid=0, quantity=row.sale, senderid=0, sender='AH-Jeuno', received=0, sent=0) session.add(dboxSend) else: self.info('price too high! itemid=%d %d <= %d', row.itemid, row.price, data.price01) self.add_to_blacklist(row.id) else: self.debug('not allowed to buy item! itemid=%d', row.itemid) self.add_to_blacklist(row.id) else: self.add_to_blacklist(row.id) else: self.debug('skipping row %d', row.id)<|docstring|>The main buy item loop.<|endoftext|>
d40ff52f583a7a4a764cc430fbe923a3e66938b98b505457513c79aac4d00e59
def restock_items(self, itemdata): '\n The main restock loop.\n ' for data in itemdata.items.values(): if data.sell01: history_price = self.browser.get_price(itemid=data.itemid, stack=False, seller=self.seller.seller) if ((history_price is None) or (history_price <= 0)): now = timeutils.timestamp(datetime.datetime(2099, 1, 1)) self.seller.set_history(itemid=data.itemid, stack=False, price=data.price01, date=now, count=1) stock = self.browser.get_stock(itemid=data.itemid, stack=False, seller=self.seller.seller) while (stock < data.stock01): now = timeutils.timestamp(datetime.datetime(2099, 1, 1)) self.seller.sell_item(itemid=data.itemid, stack=False, date=now, price=data.price01, count=1) stock += 1 if data.sell12: history_price = self.browser.get_price(itemid=data.itemid, stack=True, seller=self.seller.seller) if ((history_price is None) or (history_price <= 0)): now = timeutils.timestamp(datetime.datetime(2099, 1, 1)) self.seller.set_history(itemid=data.itemid, stack=True, price=data.price12, date=now, count=1) stock = self.browser.get_stock(itemid=data.itemid, stack=True, seller=self.seller.seller) while (stock < data.stock12): now = timeutils.timestamp(datetime.datetime(2099, 1, 1)) self.seller.sell_item(itemid=data.itemid, stack=True, date=now, price=data.price12, count=1) stock += 1
The main restock loop.
pydarkstar/auction/manager.py
restock_items
Korrbit/pydarkstar
0
python
def restock_items(self, itemdata): '\n \n ' for data in itemdata.items.values(): if data.sell01: history_price = self.browser.get_price(itemid=data.itemid, stack=False, seller=self.seller.seller) if ((history_price is None) or (history_price <= 0)): now = timeutils.timestamp(datetime.datetime(2099, 1, 1)) self.seller.set_history(itemid=data.itemid, stack=False, price=data.price01, date=now, count=1) stock = self.browser.get_stock(itemid=data.itemid, stack=False, seller=self.seller.seller) while (stock < data.stock01): now = timeutils.timestamp(datetime.datetime(2099, 1, 1)) self.seller.sell_item(itemid=data.itemid, stack=False, date=now, price=data.price01, count=1) stock += 1 if data.sell12: history_price = self.browser.get_price(itemid=data.itemid, stack=True, seller=self.seller.seller) if ((history_price is None) or (history_price <= 0)): now = timeutils.timestamp(datetime.datetime(2099, 1, 1)) self.seller.set_history(itemid=data.itemid, stack=True, price=data.price12, date=now, count=1) stock = self.browser.get_stock(itemid=data.itemid, stack=True, seller=self.seller.seller) while (stock < data.stock12): now = timeutils.timestamp(datetime.datetime(2099, 1, 1)) self.seller.sell_item(itemid=data.itemid, stack=True, date=now, price=data.price12, count=1) stock += 1
def restock_items(self, itemdata): '\n \n ' for data in itemdata.items.values(): if data.sell01: history_price = self.browser.get_price(itemid=data.itemid, stack=False, seller=self.seller.seller) if ((history_price is None) or (history_price <= 0)): now = timeutils.timestamp(datetime.datetime(2099, 1, 1)) self.seller.set_history(itemid=data.itemid, stack=False, price=data.price01, date=now, count=1) stock = self.browser.get_stock(itemid=data.itemid, stack=False, seller=self.seller.seller) while (stock < data.stock01): now = timeutils.timestamp(datetime.datetime(2099, 1, 1)) self.seller.sell_item(itemid=data.itemid, stack=False, date=now, price=data.price01, count=1) stock += 1 if data.sell12: history_price = self.browser.get_price(itemid=data.itemid, stack=True, seller=self.seller.seller) if ((history_price is None) or (history_price <= 0)): now = timeutils.timestamp(datetime.datetime(2099, 1, 1)) self.seller.set_history(itemid=data.itemid, stack=True, price=data.price12, date=now, count=1) stock = self.browser.get_stock(itemid=data.itemid, stack=True, seller=self.seller.seller) while (stock < data.stock12): now = timeutils.timestamp(datetime.datetime(2099, 1, 1)) self.seller.sell_item(itemid=data.itemid, stack=True, date=now, price=data.price12, count=1) stock += 1<|docstring|>The main restock loop.<|endoftext|>
d30961e9cbb33e1f7a8cb1a6e3aaff1dac4e54bec912a95a7dc69cae0bf3f2c9
def BeginInvoke(self, sender, e, callback, object): ' BeginInvoke(self: WebBrowserNavigatedEventHandler,sender: object,e: WebBrowserNavigatedEventArgs,callback: AsyncCallback,object: object) -> IAsyncResult ' pass
BeginInvoke(self: WebBrowserNavigatedEventHandler,sender: object,e: WebBrowserNavigatedEventArgs,callback: AsyncCallback,object: object) -> IAsyncResult
release/stubs.min/System/Windows/Forms/__init___parts/WebBrowserNavigatedEventHandler.py
BeginInvoke
daddycocoaman/ironpython-stubs
182
python
def BeginInvoke(self, sender, e, callback, object): ' ' pass
def BeginInvoke(self, sender, e, callback, object): ' ' pass<|docstring|>BeginInvoke(self: WebBrowserNavigatedEventHandler,sender: object,e: WebBrowserNavigatedEventArgs,callback: AsyncCallback,object: object) -> IAsyncResult<|endoftext|>
3e781a4d1e341c736a5f9fe72b707fb36972379e1905f3f44f9a1af217bff301
def CombineImpl(self, *args): '\n CombineImpl(self: MulticastDelegate,follow: Delegate) -> Delegate\n\n \n\n Combines this System.Delegate with the specified System.Delegate to form a new delegate.\n\n \n\n follow: The delegate to combine with this delegate.\n\n Returns: A delegate that is the new root of the System.MulticastDelegate invocation list.\n ' pass
CombineImpl(self: MulticastDelegate,follow: Delegate) -> Delegate Combines this System.Delegate with the specified System.Delegate to form a new delegate. follow: The delegate to combine with this delegate. Returns: A delegate that is the new root of the System.MulticastDelegate invocation list.
release/stubs.min/System/Windows/Forms/__init___parts/WebBrowserNavigatedEventHandler.py
CombineImpl
daddycocoaman/ironpython-stubs
182
python
def CombineImpl(self, *args): '\n CombineImpl(self: MulticastDelegate,follow: Delegate) -> Delegate\n\n \n\n Combines this System.Delegate with the specified System.Delegate to form a new delegate.\n\n \n\n follow: The delegate to combine with this delegate.\n\n Returns: A delegate that is the new root of the System.MulticastDelegate invocation list.\n ' pass
def CombineImpl(self, *args): '\n CombineImpl(self: MulticastDelegate,follow: Delegate) -> Delegate\n\n \n\n Combines this System.Delegate with the specified System.Delegate to form a new delegate.\n\n \n\n follow: The delegate to combine with this delegate.\n\n Returns: A delegate that is the new root of the System.MulticastDelegate invocation list.\n ' pass<|docstring|>CombineImpl(self: MulticastDelegate,follow: Delegate) -> Delegate Combines this System.Delegate with the specified System.Delegate to form a new delegate. follow: The delegate to combine with this delegate. Returns: A delegate that is the new root of the System.MulticastDelegate invocation list.<|endoftext|>
d9d0e2a8d5a2b907cac3ae995d6e7d46f18d95c3e2b12f34b66594dc12dac937
def DynamicInvokeImpl(self, *args): '\n DynamicInvokeImpl(self: Delegate,args: Array[object]) -> object\n\n \n\n Dynamically invokes (late-bound) the method represented by the current delegate.\n\n \n\n args: An array of objects that are the arguments to pass to the method represented by the current \n\n delegate.-or- null,if the method represented by the current delegate does not require \n\n arguments.\n\n \n\n Returns: The object returned by the method represented by the delegate.\n ' pass
DynamicInvokeImpl(self: Delegate,args: Array[object]) -> object Dynamically invokes (late-bound) the method represented by the current delegate. args: An array of objects that are the arguments to pass to the method represented by the current delegate.-or- null,if the method represented by the current delegate does not require arguments. Returns: The object returned by the method represented by the delegate.
release/stubs.min/System/Windows/Forms/__init___parts/WebBrowserNavigatedEventHandler.py
DynamicInvokeImpl
daddycocoaman/ironpython-stubs
182
python
def DynamicInvokeImpl(self, *args): '\n DynamicInvokeImpl(self: Delegate,args: Array[object]) -> object\n\n \n\n Dynamically invokes (late-bound) the method represented by the current delegate.\n\n \n\n args: An array of objects that are the arguments to pass to the method represented by the current \n\n delegate.-or- null,if the method represented by the current delegate does not require \n\n arguments.\n\n \n\n Returns: The object returned by the method represented by the delegate.\n ' pass
def DynamicInvokeImpl(self, *args): '\n DynamicInvokeImpl(self: Delegate,args: Array[object]) -> object\n\n \n\n Dynamically invokes (late-bound) the method represented by the current delegate.\n\n \n\n args: An array of objects that are the arguments to pass to the method represented by the current \n\n delegate.-or- null,if the method represented by the current delegate does not require \n\n arguments.\n\n \n\n Returns: The object returned by the method represented by the delegate.\n ' pass<|docstring|>DynamicInvokeImpl(self: Delegate,args: Array[object]) -> object Dynamically invokes (late-bound) the method represented by the current delegate. args: An array of objects that are the arguments to pass to the method represented by the current delegate.-or- null,if the method represented by the current delegate does not require arguments. Returns: The object returned by the method represented by the delegate.<|endoftext|>
535b77975afc60123504d0838ffc23bd7e4318eb41beff3f46d19c92a93be677
def EndInvoke(self, result): ' EndInvoke(self: WebBrowserNavigatedEventHandler,result: IAsyncResult) ' pass
EndInvoke(self: WebBrowserNavigatedEventHandler,result: IAsyncResult)
release/stubs.min/System/Windows/Forms/__init___parts/WebBrowserNavigatedEventHandler.py
EndInvoke
daddycocoaman/ironpython-stubs
182
python
def EndInvoke(self, result): ' ' pass
def EndInvoke(self, result): ' ' pass<|docstring|>EndInvoke(self: WebBrowserNavigatedEventHandler,result: IAsyncResult)<|endoftext|>
75855a6539198420fcad89ba3b6ed1160095fb7feed925bd0e205dd6b28ac406
def GetMethodImpl(self, *args): '\n GetMethodImpl(self: MulticastDelegate) -> MethodInfo\n\n \n\n Returns a static method represented by the current System.MulticastDelegate.\n\n Returns: A static method represented by the current System.MulticastDelegate.\n ' pass
GetMethodImpl(self: MulticastDelegate) -> MethodInfo Returns a static method represented by the current System.MulticastDelegate. Returns: A static method represented by the current System.MulticastDelegate.
release/stubs.min/System/Windows/Forms/__init___parts/WebBrowserNavigatedEventHandler.py
GetMethodImpl
daddycocoaman/ironpython-stubs
182
python
def GetMethodImpl(self, *args): '\n GetMethodImpl(self: MulticastDelegate) -> MethodInfo\n\n \n\n Returns a static method represented by the current System.MulticastDelegate.\n\n Returns: A static method represented by the current System.MulticastDelegate.\n ' pass
def GetMethodImpl(self, *args): '\n GetMethodImpl(self: MulticastDelegate) -> MethodInfo\n\n \n\n Returns a static method represented by the current System.MulticastDelegate.\n\n Returns: A static method represented by the current System.MulticastDelegate.\n ' pass<|docstring|>GetMethodImpl(self: MulticastDelegate) -> MethodInfo Returns a static method represented by the current System.MulticastDelegate. Returns: A static method represented by the current System.MulticastDelegate.<|endoftext|>
25fa8f2cc2375b7fe06dd87e6511e9e63a085af3caf40566ffe73cfe16492fc5
def Invoke(self, sender, e): ' Invoke(self: WebBrowserNavigatedEventHandler,sender: object,e: WebBrowserNavigatedEventArgs) ' pass
Invoke(self: WebBrowserNavigatedEventHandler,sender: object,e: WebBrowserNavigatedEventArgs)
release/stubs.min/System/Windows/Forms/__init___parts/WebBrowserNavigatedEventHandler.py
Invoke
daddycocoaman/ironpython-stubs
182
python
def Invoke(self, sender, e): ' ' pass
def Invoke(self, sender, e): ' ' pass<|docstring|>Invoke(self: WebBrowserNavigatedEventHandler,sender: object,e: WebBrowserNavigatedEventArgs)<|endoftext|>
4582985d8254d6229bffaf550edd2374b7065c8b751db05d77a1d74356bc66a4
def RemoveImpl(self, *args): '\n RemoveImpl(self: MulticastDelegate,value: Delegate) -> Delegate\n\n \n\n Removes an element from the invocation list of this System.MulticastDelegate that is equal to \n\n the specified delegate.\n\n \n\n \n\n value: The delegate to search for in the invocation list.\n\n Returns: If value is found in the invocation list for this instance,then a new System.Delegate without \n\n value in its invocation list; otherwise,this instance with its original invocation list.\n ' pass
RemoveImpl(self: MulticastDelegate,value: Delegate) -> Delegate Removes an element from the invocation list of this System.MulticastDelegate that is equal to the specified delegate. value: The delegate to search for in the invocation list. Returns: If value is found in the invocation list for this instance,then a new System.Delegate without value in its invocation list; otherwise,this instance with its original invocation list.
release/stubs.min/System/Windows/Forms/__init___parts/WebBrowserNavigatedEventHandler.py
RemoveImpl
daddycocoaman/ironpython-stubs
182
python
def RemoveImpl(self, *args): '\n RemoveImpl(self: MulticastDelegate,value: Delegate) -> Delegate\n\n \n\n Removes an element from the invocation list of this System.MulticastDelegate that is equal to \n\n the specified delegate.\n\n \n\n \n\n value: The delegate to search for in the invocation list.\n\n Returns: If value is found in the invocation list for this instance,then a new System.Delegate without \n\n value in its invocation list; otherwise,this instance with its original invocation list.\n ' pass
def RemoveImpl(self, *args): '\n RemoveImpl(self: MulticastDelegate,value: Delegate) -> Delegate\n\n \n\n Removes an element from the invocation list of this System.MulticastDelegate that is equal to \n\n the specified delegate.\n\n \n\n \n\n value: The delegate to search for in the invocation list.\n\n Returns: If value is found in the invocation list for this instance,then a new System.Delegate without \n\n value in its invocation list; otherwise,this instance with its original invocation list.\n ' pass<|docstring|>RemoveImpl(self: MulticastDelegate,value: Delegate) -> Delegate Removes an element from the invocation list of this System.MulticastDelegate that is equal to the specified delegate. value: The delegate to search for in the invocation list. Returns: If value is found in the invocation list for this instance,then a new System.Delegate without value in its invocation list; otherwise,this instance with its original invocation list.<|endoftext|>
32b5271afcd5ecc37febb67dd854fa2d1b2c4c68b2c41d2ec119d33157e9bbaa
def __init__(self, *args): ' x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature ' pass
x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature
release/stubs.min/System/Windows/Forms/__init___parts/WebBrowserNavigatedEventHandler.py
__init__
daddycocoaman/ironpython-stubs
182
python
def __init__(self, *args): ' ' pass
def __init__(self, *args): ' ' pass<|docstring|>x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature<|endoftext|>
4719cf2f65d08466562a373ce4355c7fcebea5f18598a85f57e9716107bb466c
@staticmethod def __new__(self, object, method): ' __new__(cls: type,object: object,method: IntPtr) ' pass
__new__(cls: type,object: object,method: IntPtr)
release/stubs.min/System/Windows/Forms/__init___parts/WebBrowserNavigatedEventHandler.py
__new__
daddycocoaman/ironpython-stubs
182
python
@staticmethod def __new__(self, object, method): ' ' pass
@staticmethod def __new__(self, object, method): ' ' pass<|docstring|>__new__(cls: type,object: object,method: IntPtr)<|endoftext|>
bf33a04327070c843a35ee0b45137233224c7e4284893b06ccfee009f8eccdad
def _get_grid_point_coords(model_name, first_row_in_full_grid, last_row_in_full_grid, first_column_in_full_grid, last_column_in_full_grid, grid_id=None, basemap_object=None): "Returns x-y and lat-long coords for a subgrid of the full model grid.\n\n This method generates different x-y coordinates than\n `nwp_model_utils.get_xy_grid_point_matrices`, because (like\n `mpl_toolkits.basemap.Basemap`) this method sets false easting = false\n northing = 0 metres.\n\n :param model_name: Name of NWP model (must be accepted by\n `nwp_model_utils.check_grid_name`).\n :param first_row_in_full_grid: Row 0 in the subgrid is row\n `first_row_in_full_grid` in the full grid.\n :param last_row_in_full_grid: Last row in the subgrid is row\n `last_row_in_full_grid` in the full grid. If you want last row in the\n subgrid to equal last row in the full grid, make this -1.\n :param first_column_in_full_grid: Column 0 in the subgrid is column\n `first_column_in_full_grid` in the full grid.\n :param last_column_in_full_grid: Last column in the subgrid is column\n `last_column_in_full_grid` in the full grid. If you want last column in\n the subgrid to equal last column in the full grid, make this -1.\n :param grid_id: Grid for NWP model (must be accepted by\n `nwp_model_utils.check_grid_name`).\n :param basemap_object: Instance of `mpl_toolkits.basemap.Basemap` for the\n given NWP model. If you don't have one, no big deal -- leave this\n argument empty.\n :return: coordinate_dict: Dictionary with the following keys.\n coordinate_dict['grid_point_x_matrix_metres']: M-by-N numpy array of\n x-coordinates.\n coordinate_dict['grid_point_y_matrix_metres']: M-by-N numpy array of\n y-coordinates.\n coordinate_dict['grid_point_lat_matrix_deg']: M-by-N numpy array of\n latitudes (deg N).\n coordinate_dict['grid_point_lng_matrix_deg']: M-by-N numpy array of\n longitudes (deg E).\n " (num_rows_in_full_grid, num_columns_in_full_grid) = nwp_model_utils.get_grid_dimensions(model_name=model_name, grid_name=grid_id) error_checking.assert_is_integer(first_row_in_full_grid) error_checking.assert_is_geq(first_row_in_full_grid, 0) error_checking.assert_is_integer(last_row_in_full_grid) if (last_row_in_full_grid < 0): last_row_in_full_grid += num_rows_in_full_grid error_checking.assert_is_greater(last_row_in_full_grid, first_row_in_full_grid) error_checking.assert_is_less_than(last_row_in_full_grid, num_rows_in_full_grid) error_checking.assert_is_integer(first_column_in_full_grid) error_checking.assert_is_geq(first_column_in_full_grid, 0) error_checking.assert_is_integer(last_column_in_full_grid) if (last_column_in_full_grid < 0): last_column_in_full_grid += num_columns_in_full_grid error_checking.assert_is_greater(last_column_in_full_grid, first_column_in_full_grid) error_checking.assert_is_less_than(last_column_in_full_grid, num_columns_in_full_grid) (grid_point_lat_matrix_deg, grid_point_lng_matrix_deg) = nwp_model_utils.get_latlng_grid_point_matrices(model_name=model_name, grid_name=grid_id) grid_point_lat_matrix_deg = grid_point_lat_matrix_deg[(first_row_in_full_grid:(last_row_in_full_grid + 1), first_column_in_full_grid:(last_column_in_full_grid + 1))] grid_point_lng_matrix_deg = grid_point_lng_matrix_deg[(first_row_in_full_grid:(last_row_in_full_grid + 1), first_column_in_full_grid:(last_column_in_full_grid + 1))] if (basemap_object is None): (standard_latitudes_deg, central_longitude_deg) = nwp_model_utils.get_projection_params(model_name) projection_object = projections.init_lcc_projection(standard_latitudes_deg=standard_latitudes_deg, central_longitude_deg=central_longitude_deg) (grid_point_x_matrix_metres, grid_point_y_matrix_metres) = projections.project_latlng_to_xy(latitudes_deg=grid_point_lat_matrix_deg, longitudes_deg=grid_point_lng_matrix_deg, projection_object=projection_object, false_northing_metres=0.0, false_easting_metres=0.0) else: (grid_point_x_matrix_metres, grid_point_y_matrix_metres) = basemap_object(grid_point_lng_matrix_deg, grid_point_lat_matrix_deg) return {X_COORD_MATRIX_KEY: grid_point_x_matrix_metres, Y_COORD_MATRIX_KEY: grid_point_y_matrix_metres, LATITUDE_MATRIX_KEY: grid_point_lat_matrix_deg, LONGITUDE_MATRIX_KEY: grid_point_lng_matrix_deg}
Returns x-y and lat-long coords for a subgrid of the full model grid. This method generates different x-y coordinates than `nwp_model_utils.get_xy_grid_point_matrices`, because (like `mpl_toolkits.basemap.Basemap`) this method sets false easting = false northing = 0 metres. :param model_name: Name of NWP model (must be accepted by `nwp_model_utils.check_grid_name`). :param first_row_in_full_grid: Row 0 in the subgrid is row `first_row_in_full_grid` in the full grid. :param last_row_in_full_grid: Last row in the subgrid is row `last_row_in_full_grid` in the full grid. If you want last row in the subgrid to equal last row in the full grid, make this -1. :param first_column_in_full_grid: Column 0 in the subgrid is column `first_column_in_full_grid` in the full grid. :param last_column_in_full_grid: Last column in the subgrid is column `last_column_in_full_grid` in the full grid. If you want last column in the subgrid to equal last column in the full grid, make this -1. :param grid_id: Grid for NWP model (must be accepted by `nwp_model_utils.check_grid_name`). :param basemap_object: Instance of `mpl_toolkits.basemap.Basemap` for the given NWP model. If you don't have one, no big deal -- leave this argument empty. :return: coordinate_dict: Dictionary with the following keys. coordinate_dict['grid_point_x_matrix_metres']: M-by-N numpy array of x-coordinates. coordinate_dict['grid_point_y_matrix_metres']: M-by-N numpy array of y-coordinates. coordinate_dict['grid_point_lat_matrix_deg']: M-by-N numpy array of latitudes (deg N). coordinate_dict['grid_point_lng_matrix_deg']: M-by-N numpy array of longitudes (deg E).
gewittergefahr/plotting/nwp_plotting.py
_get_grid_point_coords
dopplerchase/GewitterGefahr
26
python
def _get_grid_point_coords(model_name, first_row_in_full_grid, last_row_in_full_grid, first_column_in_full_grid, last_column_in_full_grid, grid_id=None, basemap_object=None): "Returns x-y and lat-long coords for a subgrid of the full model grid.\n\n This method generates different x-y coordinates than\n `nwp_model_utils.get_xy_grid_point_matrices`, because (like\n `mpl_toolkits.basemap.Basemap`) this method sets false easting = false\n northing = 0 metres.\n\n :param model_name: Name of NWP model (must be accepted by\n `nwp_model_utils.check_grid_name`).\n :param first_row_in_full_grid: Row 0 in the subgrid is row\n `first_row_in_full_grid` in the full grid.\n :param last_row_in_full_grid: Last row in the subgrid is row\n `last_row_in_full_grid` in the full grid. If you want last row in the\n subgrid to equal last row in the full grid, make this -1.\n :param first_column_in_full_grid: Column 0 in the subgrid is column\n `first_column_in_full_grid` in the full grid.\n :param last_column_in_full_grid: Last column in the subgrid is column\n `last_column_in_full_grid` in the full grid. If you want last column in\n the subgrid to equal last column in the full grid, make this -1.\n :param grid_id: Grid for NWP model (must be accepted by\n `nwp_model_utils.check_grid_name`).\n :param basemap_object: Instance of `mpl_toolkits.basemap.Basemap` for the\n given NWP model. If you don't have one, no big deal -- leave this\n argument empty.\n :return: coordinate_dict: Dictionary with the following keys.\n coordinate_dict['grid_point_x_matrix_metres']: M-by-N numpy array of\n x-coordinates.\n coordinate_dict['grid_point_y_matrix_metres']: M-by-N numpy array of\n y-coordinates.\n coordinate_dict['grid_point_lat_matrix_deg']: M-by-N numpy array of\n latitudes (deg N).\n coordinate_dict['grid_point_lng_matrix_deg']: M-by-N numpy array of\n longitudes (deg E).\n " (num_rows_in_full_grid, num_columns_in_full_grid) = nwp_model_utils.get_grid_dimensions(model_name=model_name, grid_name=grid_id) error_checking.assert_is_integer(first_row_in_full_grid) error_checking.assert_is_geq(first_row_in_full_grid, 0) error_checking.assert_is_integer(last_row_in_full_grid) if (last_row_in_full_grid < 0): last_row_in_full_grid += num_rows_in_full_grid error_checking.assert_is_greater(last_row_in_full_grid, first_row_in_full_grid) error_checking.assert_is_less_than(last_row_in_full_grid, num_rows_in_full_grid) error_checking.assert_is_integer(first_column_in_full_grid) error_checking.assert_is_geq(first_column_in_full_grid, 0) error_checking.assert_is_integer(last_column_in_full_grid) if (last_column_in_full_grid < 0): last_column_in_full_grid += num_columns_in_full_grid error_checking.assert_is_greater(last_column_in_full_grid, first_column_in_full_grid) error_checking.assert_is_less_than(last_column_in_full_grid, num_columns_in_full_grid) (grid_point_lat_matrix_deg, grid_point_lng_matrix_deg) = nwp_model_utils.get_latlng_grid_point_matrices(model_name=model_name, grid_name=grid_id) grid_point_lat_matrix_deg = grid_point_lat_matrix_deg[(first_row_in_full_grid:(last_row_in_full_grid + 1), first_column_in_full_grid:(last_column_in_full_grid + 1))] grid_point_lng_matrix_deg = grid_point_lng_matrix_deg[(first_row_in_full_grid:(last_row_in_full_grid + 1), first_column_in_full_grid:(last_column_in_full_grid + 1))] if (basemap_object is None): (standard_latitudes_deg, central_longitude_deg) = nwp_model_utils.get_projection_params(model_name) projection_object = projections.init_lcc_projection(standard_latitudes_deg=standard_latitudes_deg, central_longitude_deg=central_longitude_deg) (grid_point_x_matrix_metres, grid_point_y_matrix_metres) = projections.project_latlng_to_xy(latitudes_deg=grid_point_lat_matrix_deg, longitudes_deg=grid_point_lng_matrix_deg, projection_object=projection_object, false_northing_metres=0.0, false_easting_metres=0.0) else: (grid_point_x_matrix_metres, grid_point_y_matrix_metres) = basemap_object(grid_point_lng_matrix_deg, grid_point_lat_matrix_deg) return {X_COORD_MATRIX_KEY: grid_point_x_matrix_metres, Y_COORD_MATRIX_KEY: grid_point_y_matrix_metres, LATITUDE_MATRIX_KEY: grid_point_lat_matrix_deg, LONGITUDE_MATRIX_KEY: grid_point_lng_matrix_deg}
def _get_grid_point_coords(model_name, first_row_in_full_grid, last_row_in_full_grid, first_column_in_full_grid, last_column_in_full_grid, grid_id=None, basemap_object=None): "Returns x-y and lat-long coords for a subgrid of the full model grid.\n\n This method generates different x-y coordinates than\n `nwp_model_utils.get_xy_grid_point_matrices`, because (like\n `mpl_toolkits.basemap.Basemap`) this method sets false easting = false\n northing = 0 metres.\n\n :param model_name: Name of NWP model (must be accepted by\n `nwp_model_utils.check_grid_name`).\n :param first_row_in_full_grid: Row 0 in the subgrid is row\n `first_row_in_full_grid` in the full grid.\n :param last_row_in_full_grid: Last row in the subgrid is row\n `last_row_in_full_grid` in the full grid. If you want last row in the\n subgrid to equal last row in the full grid, make this -1.\n :param first_column_in_full_grid: Column 0 in the subgrid is column\n `first_column_in_full_grid` in the full grid.\n :param last_column_in_full_grid: Last column in the subgrid is column\n `last_column_in_full_grid` in the full grid. If you want last column in\n the subgrid to equal last column in the full grid, make this -1.\n :param grid_id: Grid for NWP model (must be accepted by\n `nwp_model_utils.check_grid_name`).\n :param basemap_object: Instance of `mpl_toolkits.basemap.Basemap` for the\n given NWP model. If you don't have one, no big deal -- leave this\n argument empty.\n :return: coordinate_dict: Dictionary with the following keys.\n coordinate_dict['grid_point_x_matrix_metres']: M-by-N numpy array of\n x-coordinates.\n coordinate_dict['grid_point_y_matrix_metres']: M-by-N numpy array of\n y-coordinates.\n coordinate_dict['grid_point_lat_matrix_deg']: M-by-N numpy array of\n latitudes (deg N).\n coordinate_dict['grid_point_lng_matrix_deg']: M-by-N numpy array of\n longitudes (deg E).\n " (num_rows_in_full_grid, num_columns_in_full_grid) = nwp_model_utils.get_grid_dimensions(model_name=model_name, grid_name=grid_id) error_checking.assert_is_integer(first_row_in_full_grid) error_checking.assert_is_geq(first_row_in_full_grid, 0) error_checking.assert_is_integer(last_row_in_full_grid) if (last_row_in_full_grid < 0): last_row_in_full_grid += num_rows_in_full_grid error_checking.assert_is_greater(last_row_in_full_grid, first_row_in_full_grid) error_checking.assert_is_less_than(last_row_in_full_grid, num_rows_in_full_grid) error_checking.assert_is_integer(first_column_in_full_grid) error_checking.assert_is_geq(first_column_in_full_grid, 0) error_checking.assert_is_integer(last_column_in_full_grid) if (last_column_in_full_grid < 0): last_column_in_full_grid += num_columns_in_full_grid error_checking.assert_is_greater(last_column_in_full_grid, first_column_in_full_grid) error_checking.assert_is_less_than(last_column_in_full_grid, num_columns_in_full_grid) (grid_point_lat_matrix_deg, grid_point_lng_matrix_deg) = nwp_model_utils.get_latlng_grid_point_matrices(model_name=model_name, grid_name=grid_id) grid_point_lat_matrix_deg = grid_point_lat_matrix_deg[(first_row_in_full_grid:(last_row_in_full_grid + 1), first_column_in_full_grid:(last_column_in_full_grid + 1))] grid_point_lng_matrix_deg = grid_point_lng_matrix_deg[(first_row_in_full_grid:(last_row_in_full_grid + 1), first_column_in_full_grid:(last_column_in_full_grid + 1))] if (basemap_object is None): (standard_latitudes_deg, central_longitude_deg) = nwp_model_utils.get_projection_params(model_name) projection_object = projections.init_lcc_projection(standard_latitudes_deg=standard_latitudes_deg, central_longitude_deg=central_longitude_deg) (grid_point_x_matrix_metres, grid_point_y_matrix_metres) = projections.project_latlng_to_xy(latitudes_deg=grid_point_lat_matrix_deg, longitudes_deg=grid_point_lng_matrix_deg, projection_object=projection_object, false_northing_metres=0.0, false_easting_metres=0.0) else: (grid_point_x_matrix_metres, grid_point_y_matrix_metres) = basemap_object(grid_point_lng_matrix_deg, grid_point_lat_matrix_deg) return {X_COORD_MATRIX_KEY: grid_point_x_matrix_metres, Y_COORD_MATRIX_KEY: grid_point_y_matrix_metres, LATITUDE_MATRIX_KEY: grid_point_lat_matrix_deg, LONGITUDE_MATRIX_KEY: grid_point_lng_matrix_deg}<|docstring|>Returns x-y and lat-long coords for a subgrid of the full model grid. This method generates different x-y coordinates than `nwp_model_utils.get_xy_grid_point_matrices`, because (like `mpl_toolkits.basemap.Basemap`) this method sets false easting = false northing = 0 metres. :param model_name: Name of NWP model (must be accepted by `nwp_model_utils.check_grid_name`). :param first_row_in_full_grid: Row 0 in the subgrid is row `first_row_in_full_grid` in the full grid. :param last_row_in_full_grid: Last row in the subgrid is row `last_row_in_full_grid` in the full grid. If you want last row in the subgrid to equal last row in the full grid, make this -1. :param first_column_in_full_grid: Column 0 in the subgrid is column `first_column_in_full_grid` in the full grid. :param last_column_in_full_grid: Last column in the subgrid is column `last_column_in_full_grid` in the full grid. If you want last column in the subgrid to equal last column in the full grid, make this -1. :param grid_id: Grid for NWP model (must be accepted by `nwp_model_utils.check_grid_name`). :param basemap_object: Instance of `mpl_toolkits.basemap.Basemap` for the given NWP model. If you don't have one, no big deal -- leave this argument empty. :return: coordinate_dict: Dictionary with the following keys. coordinate_dict['grid_point_x_matrix_metres']: M-by-N numpy array of x-coordinates. coordinate_dict['grid_point_y_matrix_metres']: M-by-N numpy array of y-coordinates. coordinate_dict['grid_point_lat_matrix_deg']: M-by-N numpy array of latitudes (deg N). coordinate_dict['grid_point_lng_matrix_deg']: M-by-N numpy array of longitudes (deg E).<|endoftext|>
a02c5ff6e6c6bc2c7a0ee82f7590ccde35c5c2d3dd0b264d9f970075887932a9
def latlng_limits_to_rowcol_limits(min_latitude_deg, max_latitude_deg, min_longitude_deg, max_longitude_deg, model_name, grid_id=None): 'Converts lat-long limits to row-column limits in the given model grid.\n\n :param min_latitude_deg: Minimum latitude (deg N).\n :param max_latitude_deg: Max latitude (deg N).\n :param min_longitude_deg: Minimum longitude (deg E).\n :param max_longitude_deg: Max longitude (deg E).\n :param model_name: Name of NWP model (must be accepted by\n `nwp_model_utils.check_grid_name`).\n :param grid_id: Grid for NWP model (must be accepted by\n `nwp_model_utils.check_grid_name`).\n :return: row_limits: length-2 numpy array, containing min and max rows in\n model grid, respectively.\n :return: column_limits: Same but for columns.\n ' error_checking.assert_is_valid_latitude(min_latitude_deg) error_checking.assert_is_valid_latitude(max_latitude_deg) error_checking.assert_is_greater(max_latitude_deg, min_latitude_deg) both_longitudes_deg = numpy.array([min_longitude_deg, max_longitude_deg]) both_longitudes_deg = lng_conversion.convert_lng_positive_in_west(both_longitudes_deg) min_longitude_deg = both_longitudes_deg[0] max_longitude_deg = both_longitudes_deg[1] error_checking.assert_is_greater(max_longitude_deg, min_longitude_deg) (grid_point_lat_matrix_deg, grid_point_lng_matrix_deg) = nwp_model_utils.get_latlng_grid_point_matrices(model_name=model_name, grid_name=grid_id) good_lat_flag_matrix = numpy.logical_and((grid_point_lat_matrix_deg >= min_latitude_deg), (grid_point_lat_matrix_deg <= max_latitude_deg)) good_lng_flag_matrix = numpy.logical_and((grid_point_lng_matrix_deg >= min_longitude_deg), (grid_point_lng_matrix_deg <= max_longitude_deg)) (good_row_indices, good_column_indices) = numpy.where(numpy.logical_and(good_lat_flag_matrix, good_lng_flag_matrix)) row_limits = numpy.array([numpy.min(good_row_indices), numpy.max(good_row_indices)], dtype=int) column_limits = numpy.array([numpy.min(good_column_indices), numpy.max(good_column_indices)], dtype=int) return (row_limits, column_limits)
Converts lat-long limits to row-column limits in the given model grid. :param min_latitude_deg: Minimum latitude (deg N). :param max_latitude_deg: Max latitude (deg N). :param min_longitude_deg: Minimum longitude (deg E). :param max_longitude_deg: Max longitude (deg E). :param model_name: Name of NWP model (must be accepted by `nwp_model_utils.check_grid_name`). :param grid_id: Grid for NWP model (must be accepted by `nwp_model_utils.check_grid_name`). :return: row_limits: length-2 numpy array, containing min and max rows in model grid, respectively. :return: column_limits: Same but for columns.
gewittergefahr/plotting/nwp_plotting.py
latlng_limits_to_rowcol_limits
dopplerchase/GewitterGefahr
26
python
def latlng_limits_to_rowcol_limits(min_latitude_deg, max_latitude_deg, min_longitude_deg, max_longitude_deg, model_name, grid_id=None): 'Converts lat-long limits to row-column limits in the given model grid.\n\n :param min_latitude_deg: Minimum latitude (deg N).\n :param max_latitude_deg: Max latitude (deg N).\n :param min_longitude_deg: Minimum longitude (deg E).\n :param max_longitude_deg: Max longitude (deg E).\n :param model_name: Name of NWP model (must be accepted by\n `nwp_model_utils.check_grid_name`).\n :param grid_id: Grid for NWP model (must be accepted by\n `nwp_model_utils.check_grid_name`).\n :return: row_limits: length-2 numpy array, containing min and max rows in\n model grid, respectively.\n :return: column_limits: Same but for columns.\n ' error_checking.assert_is_valid_latitude(min_latitude_deg) error_checking.assert_is_valid_latitude(max_latitude_deg) error_checking.assert_is_greater(max_latitude_deg, min_latitude_deg) both_longitudes_deg = numpy.array([min_longitude_deg, max_longitude_deg]) both_longitudes_deg = lng_conversion.convert_lng_positive_in_west(both_longitudes_deg) min_longitude_deg = both_longitudes_deg[0] max_longitude_deg = both_longitudes_deg[1] error_checking.assert_is_greater(max_longitude_deg, min_longitude_deg) (grid_point_lat_matrix_deg, grid_point_lng_matrix_deg) = nwp_model_utils.get_latlng_grid_point_matrices(model_name=model_name, grid_name=grid_id) good_lat_flag_matrix = numpy.logical_and((grid_point_lat_matrix_deg >= min_latitude_deg), (grid_point_lat_matrix_deg <= max_latitude_deg)) good_lng_flag_matrix = numpy.logical_and((grid_point_lng_matrix_deg >= min_longitude_deg), (grid_point_lng_matrix_deg <= max_longitude_deg)) (good_row_indices, good_column_indices) = numpy.where(numpy.logical_and(good_lat_flag_matrix, good_lng_flag_matrix)) row_limits = numpy.array([numpy.min(good_row_indices), numpy.max(good_row_indices)], dtype=int) column_limits = numpy.array([numpy.min(good_column_indices), numpy.max(good_column_indices)], dtype=int) return (row_limits, column_limits)
def latlng_limits_to_rowcol_limits(min_latitude_deg, max_latitude_deg, min_longitude_deg, max_longitude_deg, model_name, grid_id=None): 'Converts lat-long limits to row-column limits in the given model grid.\n\n :param min_latitude_deg: Minimum latitude (deg N).\n :param max_latitude_deg: Max latitude (deg N).\n :param min_longitude_deg: Minimum longitude (deg E).\n :param max_longitude_deg: Max longitude (deg E).\n :param model_name: Name of NWP model (must be accepted by\n `nwp_model_utils.check_grid_name`).\n :param grid_id: Grid for NWP model (must be accepted by\n `nwp_model_utils.check_grid_name`).\n :return: row_limits: length-2 numpy array, containing min and max rows in\n model grid, respectively.\n :return: column_limits: Same but for columns.\n ' error_checking.assert_is_valid_latitude(min_latitude_deg) error_checking.assert_is_valid_latitude(max_latitude_deg) error_checking.assert_is_greater(max_latitude_deg, min_latitude_deg) both_longitudes_deg = numpy.array([min_longitude_deg, max_longitude_deg]) both_longitudes_deg = lng_conversion.convert_lng_positive_in_west(both_longitudes_deg) min_longitude_deg = both_longitudes_deg[0] max_longitude_deg = both_longitudes_deg[1] error_checking.assert_is_greater(max_longitude_deg, min_longitude_deg) (grid_point_lat_matrix_deg, grid_point_lng_matrix_deg) = nwp_model_utils.get_latlng_grid_point_matrices(model_name=model_name, grid_name=grid_id) good_lat_flag_matrix = numpy.logical_and((grid_point_lat_matrix_deg >= min_latitude_deg), (grid_point_lat_matrix_deg <= max_latitude_deg)) good_lng_flag_matrix = numpy.logical_and((grid_point_lng_matrix_deg >= min_longitude_deg), (grid_point_lng_matrix_deg <= max_longitude_deg)) (good_row_indices, good_column_indices) = numpy.where(numpy.logical_and(good_lat_flag_matrix, good_lng_flag_matrix)) row_limits = numpy.array([numpy.min(good_row_indices), numpy.max(good_row_indices)], dtype=int) column_limits = numpy.array([numpy.min(good_column_indices), numpy.max(good_column_indices)], dtype=int) return (row_limits, column_limits)<|docstring|>Converts lat-long limits to row-column limits in the given model grid. :param min_latitude_deg: Minimum latitude (deg N). :param max_latitude_deg: Max latitude (deg N). :param min_longitude_deg: Minimum longitude (deg E). :param max_longitude_deg: Max longitude (deg E). :param model_name: Name of NWP model (must be accepted by `nwp_model_utils.check_grid_name`). :param grid_id: Grid for NWP model (must be accepted by `nwp_model_utils.check_grid_name`). :return: row_limits: length-2 numpy array, containing min and max rows in model grid, respectively. :return: column_limits: Same but for columns.<|endoftext|>
2dc5088b599c02d439aa4684d390671a5b14c71075ec83f003fdd455f48fcbc5
def init_basemap(model_name, grid_id=None, figure_width_inches=DEFAULT_FIGURE_WIDTH_INCHES, figure_height_inches=DEFAULT_FIGURE_HEIGHT_INCHES, resolution_string=DEFAULT_BOUNDARY_RESOLUTION_STRING, first_row_in_full_grid=0, last_row_in_full_grid=(- 1), first_column_in_full_grid=0, last_column_in_full_grid=(- 1)): 'Initializes basemap with the given model\'s projection.\n\n :param model_name: Name of NWP model (must be accepted by\n `nwp_model_utils.check_grid_name`).\n :param grid_id: Grid for NWP model (must be accepted by\n `nwp_model_utils.check_grid_name`).\n :param figure_width_inches: Figure width.\n :param figure_height_inches: Figure height.\n :param resolution_string: Resolution for boundaries (e.g., coastlines and\n political borders). Options are "c" for crude, "l" for low, "i" for\n intermediate, "h" for high, and "f" for full. Keep in mind that higher-\n resolution boundaries take much longer to draw.\n :param first_row_in_full_grid: See doc for `_get_grid_point_coords`.\n :param last_row_in_full_grid: Same.\n :param first_column_in_full_grid: Same.\n :param last_column_in_full_grid: Same.\n :return: figure_object: Instance of `matplotlib.figure.Figure`.\n :return: axes_object: Instance of `matplotlib.axes._subplots.AxesSubplot`.\n :return: basemap_object: Instance of `mpl_toolkits.basemap.Basemap`.\n ' error_checking.assert_is_greater(figure_width_inches, 0.0) error_checking.assert_is_greater(figure_height_inches, 0.0) error_checking.assert_is_string(resolution_string) coordinate_dict = _get_grid_point_coords(model_name=model_name, grid_id=grid_id, first_row_in_full_grid=first_row_in_full_grid, last_row_in_full_grid=last_row_in_full_grid, first_column_in_full_grid=first_column_in_full_grid, last_column_in_full_grid=last_column_in_full_grid) grid_point_x_matrix_metres = coordinate_dict[X_COORD_MATRIX_KEY] x_spacing_metres = (grid_point_x_matrix_metres[(0, 1)] - grid_point_x_matrix_metres[(0, 0)]) x_min_metres = (grid_point_x_matrix_metres[(0, 0)] - (x_spacing_metres / 2)) x_max_metres = (grid_point_x_matrix_metres[((- 1), (- 1))] + (x_spacing_metres / 2)) grid_point_y_matrix_metres = coordinate_dict[Y_COORD_MATRIX_KEY] y_spacing_metres = (grid_point_y_matrix_metres[(1, 0)] - grid_point_y_matrix_metres[(0, 0)]) y_min_metres = (grid_point_y_matrix_metres[(0, 0)] - (y_spacing_metres / 2)) y_max_metres = (grid_point_y_matrix_metres[((- 1), (- 1))] + (y_spacing_metres / 2)) (figure_object, axes_object) = pyplot.subplots(1, 1, figsize=(figure_width_inches, figure_height_inches)) (standard_latitudes_deg, central_longitude_deg) = nwp_model_utils.get_projection_params(model_name) basemap_object = Basemap(projection='lcc', lat_1=standard_latitudes_deg[0], lat_2=standard_latitudes_deg[1], lon_0=central_longitude_deg, rsphere=projections.DEFAULT_EARTH_RADIUS_METRES, ellps='sphere', resolution=resolution_string, llcrnrx=x_min_metres, llcrnry=y_min_metres, urcrnrx=x_max_metres, urcrnry=y_max_metres) return (figure_object, axes_object, basemap_object)
Initializes basemap with the given model's projection. :param model_name: Name of NWP model (must be accepted by `nwp_model_utils.check_grid_name`). :param grid_id: Grid for NWP model (must be accepted by `nwp_model_utils.check_grid_name`). :param figure_width_inches: Figure width. :param figure_height_inches: Figure height. :param resolution_string: Resolution for boundaries (e.g., coastlines and political borders). Options are "c" for crude, "l" for low, "i" for intermediate, "h" for high, and "f" for full. Keep in mind that higher- resolution boundaries take much longer to draw. :param first_row_in_full_grid: See doc for `_get_grid_point_coords`. :param last_row_in_full_grid: Same. :param first_column_in_full_grid: Same. :param last_column_in_full_grid: Same. :return: figure_object: Instance of `matplotlib.figure.Figure`. :return: axes_object: Instance of `matplotlib.axes._subplots.AxesSubplot`. :return: basemap_object: Instance of `mpl_toolkits.basemap.Basemap`.
gewittergefahr/plotting/nwp_plotting.py
init_basemap
dopplerchase/GewitterGefahr
26
python
def init_basemap(model_name, grid_id=None, figure_width_inches=DEFAULT_FIGURE_WIDTH_INCHES, figure_height_inches=DEFAULT_FIGURE_HEIGHT_INCHES, resolution_string=DEFAULT_BOUNDARY_RESOLUTION_STRING, first_row_in_full_grid=0, last_row_in_full_grid=(- 1), first_column_in_full_grid=0, last_column_in_full_grid=(- 1)): 'Initializes basemap with the given model\'s projection.\n\n :param model_name: Name of NWP model (must be accepted by\n `nwp_model_utils.check_grid_name`).\n :param grid_id: Grid for NWP model (must be accepted by\n `nwp_model_utils.check_grid_name`).\n :param figure_width_inches: Figure width.\n :param figure_height_inches: Figure height.\n :param resolution_string: Resolution for boundaries (e.g., coastlines and\n political borders). Options are "c" for crude, "l" for low, "i" for\n intermediate, "h" for high, and "f" for full. Keep in mind that higher-\n resolution boundaries take much longer to draw.\n :param first_row_in_full_grid: See doc for `_get_grid_point_coords`.\n :param last_row_in_full_grid: Same.\n :param first_column_in_full_grid: Same.\n :param last_column_in_full_grid: Same.\n :return: figure_object: Instance of `matplotlib.figure.Figure`.\n :return: axes_object: Instance of `matplotlib.axes._subplots.AxesSubplot`.\n :return: basemap_object: Instance of `mpl_toolkits.basemap.Basemap`.\n ' error_checking.assert_is_greater(figure_width_inches, 0.0) error_checking.assert_is_greater(figure_height_inches, 0.0) error_checking.assert_is_string(resolution_string) coordinate_dict = _get_grid_point_coords(model_name=model_name, grid_id=grid_id, first_row_in_full_grid=first_row_in_full_grid, last_row_in_full_grid=last_row_in_full_grid, first_column_in_full_grid=first_column_in_full_grid, last_column_in_full_grid=last_column_in_full_grid) grid_point_x_matrix_metres = coordinate_dict[X_COORD_MATRIX_KEY] x_spacing_metres = (grid_point_x_matrix_metres[(0, 1)] - grid_point_x_matrix_metres[(0, 0)]) x_min_metres = (grid_point_x_matrix_metres[(0, 0)] - (x_spacing_metres / 2)) x_max_metres = (grid_point_x_matrix_metres[((- 1), (- 1))] + (x_spacing_metres / 2)) grid_point_y_matrix_metres = coordinate_dict[Y_COORD_MATRIX_KEY] y_spacing_metres = (grid_point_y_matrix_metres[(1, 0)] - grid_point_y_matrix_metres[(0, 0)]) y_min_metres = (grid_point_y_matrix_metres[(0, 0)] - (y_spacing_metres / 2)) y_max_metres = (grid_point_y_matrix_metres[((- 1), (- 1))] + (y_spacing_metres / 2)) (figure_object, axes_object) = pyplot.subplots(1, 1, figsize=(figure_width_inches, figure_height_inches)) (standard_latitudes_deg, central_longitude_deg) = nwp_model_utils.get_projection_params(model_name) basemap_object = Basemap(projection='lcc', lat_1=standard_latitudes_deg[0], lat_2=standard_latitudes_deg[1], lon_0=central_longitude_deg, rsphere=projections.DEFAULT_EARTH_RADIUS_METRES, ellps='sphere', resolution=resolution_string, llcrnrx=x_min_metres, llcrnry=y_min_metres, urcrnrx=x_max_metres, urcrnry=y_max_metres) return (figure_object, axes_object, basemap_object)
def init_basemap(model_name, grid_id=None, figure_width_inches=DEFAULT_FIGURE_WIDTH_INCHES, figure_height_inches=DEFAULT_FIGURE_HEIGHT_INCHES, resolution_string=DEFAULT_BOUNDARY_RESOLUTION_STRING, first_row_in_full_grid=0, last_row_in_full_grid=(- 1), first_column_in_full_grid=0, last_column_in_full_grid=(- 1)): 'Initializes basemap with the given model\'s projection.\n\n :param model_name: Name of NWP model (must be accepted by\n `nwp_model_utils.check_grid_name`).\n :param grid_id: Grid for NWP model (must be accepted by\n `nwp_model_utils.check_grid_name`).\n :param figure_width_inches: Figure width.\n :param figure_height_inches: Figure height.\n :param resolution_string: Resolution for boundaries (e.g., coastlines and\n political borders). Options are "c" for crude, "l" for low, "i" for\n intermediate, "h" for high, and "f" for full. Keep in mind that higher-\n resolution boundaries take much longer to draw.\n :param first_row_in_full_grid: See doc for `_get_grid_point_coords`.\n :param last_row_in_full_grid: Same.\n :param first_column_in_full_grid: Same.\n :param last_column_in_full_grid: Same.\n :return: figure_object: Instance of `matplotlib.figure.Figure`.\n :return: axes_object: Instance of `matplotlib.axes._subplots.AxesSubplot`.\n :return: basemap_object: Instance of `mpl_toolkits.basemap.Basemap`.\n ' error_checking.assert_is_greater(figure_width_inches, 0.0) error_checking.assert_is_greater(figure_height_inches, 0.0) error_checking.assert_is_string(resolution_string) coordinate_dict = _get_grid_point_coords(model_name=model_name, grid_id=grid_id, first_row_in_full_grid=first_row_in_full_grid, last_row_in_full_grid=last_row_in_full_grid, first_column_in_full_grid=first_column_in_full_grid, last_column_in_full_grid=last_column_in_full_grid) grid_point_x_matrix_metres = coordinate_dict[X_COORD_MATRIX_KEY] x_spacing_metres = (grid_point_x_matrix_metres[(0, 1)] - grid_point_x_matrix_metres[(0, 0)]) x_min_metres = (grid_point_x_matrix_metres[(0, 0)] - (x_spacing_metres / 2)) x_max_metres = (grid_point_x_matrix_metres[((- 1), (- 1))] + (x_spacing_metres / 2)) grid_point_y_matrix_metres = coordinate_dict[Y_COORD_MATRIX_KEY] y_spacing_metres = (grid_point_y_matrix_metres[(1, 0)] - grid_point_y_matrix_metres[(0, 0)]) y_min_metres = (grid_point_y_matrix_metres[(0, 0)] - (y_spacing_metres / 2)) y_max_metres = (grid_point_y_matrix_metres[((- 1), (- 1))] + (y_spacing_metres / 2)) (figure_object, axes_object) = pyplot.subplots(1, 1, figsize=(figure_width_inches, figure_height_inches)) (standard_latitudes_deg, central_longitude_deg) = nwp_model_utils.get_projection_params(model_name) basemap_object = Basemap(projection='lcc', lat_1=standard_latitudes_deg[0], lat_2=standard_latitudes_deg[1], lon_0=central_longitude_deg, rsphere=projections.DEFAULT_EARTH_RADIUS_METRES, ellps='sphere', resolution=resolution_string, llcrnrx=x_min_metres, llcrnry=y_min_metres, urcrnrx=x_max_metres, urcrnry=y_max_metres) return (figure_object, axes_object, basemap_object)<|docstring|>Initializes basemap with the given model's projection. :param model_name: Name of NWP model (must be accepted by `nwp_model_utils.check_grid_name`). :param grid_id: Grid for NWP model (must be accepted by `nwp_model_utils.check_grid_name`). :param figure_width_inches: Figure width. :param figure_height_inches: Figure height. :param resolution_string: Resolution for boundaries (e.g., coastlines and political borders). Options are "c" for crude, "l" for low, "i" for intermediate, "h" for high, and "f" for full. Keep in mind that higher- resolution boundaries take much longer to draw. :param first_row_in_full_grid: See doc for `_get_grid_point_coords`. :param last_row_in_full_grid: Same. :param first_column_in_full_grid: Same. :param last_column_in_full_grid: Same. :return: figure_object: Instance of `matplotlib.figure.Figure`. :return: axes_object: Instance of `matplotlib.axes._subplots.AxesSubplot`. :return: basemap_object: Instance of `mpl_toolkits.basemap.Basemap`.<|endoftext|>
0a04e7f42e7470750206b819635c2860e36e65450d443a54ad9e25cdf8dc63cf
def plot_subgrid(field_matrix, model_name, axes_object, basemap_object, colour_map_object, colour_norm_object=None, min_colour_value=None, max_colour_value=None, grid_id=None, first_row_in_full_grid=0, first_column_in_full_grid=0, opacity=1.0): 'Plots colour map on subset of the full model grid.\n\n M = number of rows in subgrid\n N = number of columns in subgrid\n\n If `colour_norm_object is None`, both `min_colour_value` and\n `max_colour_value` must be specified.\n\n :param field_matrix: M-by-N numpy array of data values.\n :param model_name: See doc for `_get_grid_point_coords`.\n :param axes_object: Instance of `matplotlib.axes._subplots.AxesSubplot`.\n Will plot on these axes.\n :param basemap_object: Instance of `mpl_toolkits.basemap.Basemap`. Will be\n used to convert between x-y and lat-long coordinates.\n :param colour_map_object: Instance of `matplotlib.pyplot.cm`. Determines\n colours in scheme.\n :param colour_norm_object: Instance of `matplotlib.colors.BoundaryNorm`.\n Determines boundaries in colour scheme.\n :param min_colour_value: [used only if `colour_norm_object is None`]\n Minimum data value in colour scheme.\n :param max_colour_value: [used only if `colour_norm_object is None`]\n Max data value in colour scheme.\n :param grid_id: See doc for `_get_grid_point_coords`.\n :param first_row_in_full_grid: Row offset. field_matrix[0, 0] is at row m\n in the full model grid, where m = `first_row_in_full_grid`.\n :param first_column_in_full_grid: Same but for columns.\n :param opacity: Opacity of colour map (in range 0...1).\n ' if (colour_norm_object is None): error_checking.assert_is_greater(max_colour_value, min_colour_value) colour_norm_object = matplotlib.colors.Normalize(vmin=min_colour_value, vmax=max_colour_value, clip=False) error_checking.assert_is_real_numpy_array(field_matrix) error_checking.assert_is_numpy_array(field_matrix, num_dimensions=2) num_rows_in_subgrid = field_matrix.shape[0] num_columns_in_subgrid = field_matrix.shape[1] coordinate_dict = _get_grid_point_coords(model_name=model_name, grid_id=grid_id, first_row_in_full_grid=first_row_in_full_grid, last_row_in_full_grid=((first_row_in_full_grid + num_rows_in_subgrid) - 1), first_column_in_full_grid=first_column_in_full_grid, last_column_in_full_grid=((first_column_in_full_grid + num_columns_in_subgrid) - 1), basemap_object=basemap_object) grid_point_x_matrix_metres = coordinate_dict[X_COORD_MATRIX_KEY] grid_point_y_matrix_metres = coordinate_dict[Y_COORD_MATRIX_KEY] x_spacing_metres = ((grid_point_x_matrix_metres[(0, (- 1))] - grid_point_x_matrix_metres[(0, 0)]) / (num_columns_in_subgrid - 1)) y_spacing_metres = ((grid_point_y_matrix_metres[((- 1), 0)] - grid_point_y_matrix_metres[(0, 0)]) / (num_rows_in_subgrid - 1)) (field_matrix_at_edges, grid_cell_edges_x_metres, grid_cell_edges_y_metres) = grids.xy_field_grid_points_to_edges(field_matrix=field_matrix, x_min_metres=grid_point_x_matrix_metres[(0, 0)], y_min_metres=grid_point_y_matrix_metres[(0, 0)], x_spacing_metres=x_spacing_metres, y_spacing_metres=y_spacing_metres) field_matrix_at_edges = numpy.ma.masked_where(numpy.isnan(field_matrix_at_edges), field_matrix_at_edges) if hasattr(colour_norm_object, 'boundaries'): min_colour_value = colour_norm_object.boundaries[0] max_colour_value = colour_norm_object.boundaries[(- 1)] else: min_colour_value = colour_norm_object.vmin max_colour_value = colour_norm_object.vmax basemap_object.pcolormesh(grid_cell_edges_x_metres, grid_cell_edges_y_metres, field_matrix_at_edges, cmap=colour_map_object, norm=colour_norm_object, vmin=min_colour_value, vmax=max_colour_value, shading='flat', edgecolors='None', ax=axes_object, zorder=(- 1000000000000.0), alpha=opacity)
Plots colour map on subset of the full model grid. M = number of rows in subgrid N = number of columns in subgrid If `colour_norm_object is None`, both `min_colour_value` and `max_colour_value` must be specified. :param field_matrix: M-by-N numpy array of data values. :param model_name: See doc for `_get_grid_point_coords`. :param axes_object: Instance of `matplotlib.axes._subplots.AxesSubplot`. Will plot on these axes. :param basemap_object: Instance of `mpl_toolkits.basemap.Basemap`. Will be used to convert between x-y and lat-long coordinates. :param colour_map_object: Instance of `matplotlib.pyplot.cm`. Determines colours in scheme. :param colour_norm_object: Instance of `matplotlib.colors.BoundaryNorm`. Determines boundaries in colour scheme. :param min_colour_value: [used only if `colour_norm_object is None`] Minimum data value in colour scheme. :param max_colour_value: [used only if `colour_norm_object is None`] Max data value in colour scheme. :param grid_id: See doc for `_get_grid_point_coords`. :param first_row_in_full_grid: Row offset. field_matrix[0, 0] is at row m in the full model grid, where m = `first_row_in_full_grid`. :param first_column_in_full_grid: Same but for columns. :param opacity: Opacity of colour map (in range 0...1).
gewittergefahr/plotting/nwp_plotting.py
plot_subgrid
dopplerchase/GewitterGefahr
26
python
def plot_subgrid(field_matrix, model_name, axes_object, basemap_object, colour_map_object, colour_norm_object=None, min_colour_value=None, max_colour_value=None, grid_id=None, first_row_in_full_grid=0, first_column_in_full_grid=0, opacity=1.0): 'Plots colour map on subset of the full model grid.\n\n M = number of rows in subgrid\n N = number of columns in subgrid\n\n If `colour_norm_object is None`, both `min_colour_value` and\n `max_colour_value` must be specified.\n\n :param field_matrix: M-by-N numpy array of data values.\n :param model_name: See doc for `_get_grid_point_coords`.\n :param axes_object: Instance of `matplotlib.axes._subplots.AxesSubplot`.\n Will plot on these axes.\n :param basemap_object: Instance of `mpl_toolkits.basemap.Basemap`. Will be\n used to convert between x-y and lat-long coordinates.\n :param colour_map_object: Instance of `matplotlib.pyplot.cm`. Determines\n colours in scheme.\n :param colour_norm_object: Instance of `matplotlib.colors.BoundaryNorm`.\n Determines boundaries in colour scheme.\n :param min_colour_value: [used only if `colour_norm_object is None`]\n Minimum data value in colour scheme.\n :param max_colour_value: [used only if `colour_norm_object is None`]\n Max data value in colour scheme.\n :param grid_id: See doc for `_get_grid_point_coords`.\n :param first_row_in_full_grid: Row offset. field_matrix[0, 0] is at row m\n in the full model grid, where m = `first_row_in_full_grid`.\n :param first_column_in_full_grid: Same but for columns.\n :param opacity: Opacity of colour map (in range 0...1).\n ' if (colour_norm_object is None): error_checking.assert_is_greater(max_colour_value, min_colour_value) colour_norm_object = matplotlib.colors.Normalize(vmin=min_colour_value, vmax=max_colour_value, clip=False) error_checking.assert_is_real_numpy_array(field_matrix) error_checking.assert_is_numpy_array(field_matrix, num_dimensions=2) num_rows_in_subgrid = field_matrix.shape[0] num_columns_in_subgrid = field_matrix.shape[1] coordinate_dict = _get_grid_point_coords(model_name=model_name, grid_id=grid_id, first_row_in_full_grid=first_row_in_full_grid, last_row_in_full_grid=((first_row_in_full_grid + num_rows_in_subgrid) - 1), first_column_in_full_grid=first_column_in_full_grid, last_column_in_full_grid=((first_column_in_full_grid + num_columns_in_subgrid) - 1), basemap_object=basemap_object) grid_point_x_matrix_metres = coordinate_dict[X_COORD_MATRIX_KEY] grid_point_y_matrix_metres = coordinate_dict[Y_COORD_MATRIX_KEY] x_spacing_metres = ((grid_point_x_matrix_metres[(0, (- 1))] - grid_point_x_matrix_metres[(0, 0)]) / (num_columns_in_subgrid - 1)) y_spacing_metres = ((grid_point_y_matrix_metres[((- 1), 0)] - grid_point_y_matrix_metres[(0, 0)]) / (num_rows_in_subgrid - 1)) (field_matrix_at_edges, grid_cell_edges_x_metres, grid_cell_edges_y_metres) = grids.xy_field_grid_points_to_edges(field_matrix=field_matrix, x_min_metres=grid_point_x_matrix_metres[(0, 0)], y_min_metres=grid_point_y_matrix_metres[(0, 0)], x_spacing_metres=x_spacing_metres, y_spacing_metres=y_spacing_metres) field_matrix_at_edges = numpy.ma.masked_where(numpy.isnan(field_matrix_at_edges), field_matrix_at_edges) if hasattr(colour_norm_object, 'boundaries'): min_colour_value = colour_norm_object.boundaries[0] max_colour_value = colour_norm_object.boundaries[(- 1)] else: min_colour_value = colour_norm_object.vmin max_colour_value = colour_norm_object.vmax basemap_object.pcolormesh(grid_cell_edges_x_metres, grid_cell_edges_y_metres, field_matrix_at_edges, cmap=colour_map_object, norm=colour_norm_object, vmin=min_colour_value, vmax=max_colour_value, shading='flat', edgecolors='None', ax=axes_object, zorder=(- 1000000000000.0), alpha=opacity)
def plot_subgrid(field_matrix, model_name, axes_object, basemap_object, colour_map_object, colour_norm_object=None, min_colour_value=None, max_colour_value=None, grid_id=None, first_row_in_full_grid=0, first_column_in_full_grid=0, opacity=1.0): 'Plots colour map on subset of the full model grid.\n\n M = number of rows in subgrid\n N = number of columns in subgrid\n\n If `colour_norm_object is None`, both `min_colour_value` and\n `max_colour_value` must be specified.\n\n :param field_matrix: M-by-N numpy array of data values.\n :param model_name: See doc for `_get_grid_point_coords`.\n :param axes_object: Instance of `matplotlib.axes._subplots.AxesSubplot`.\n Will plot on these axes.\n :param basemap_object: Instance of `mpl_toolkits.basemap.Basemap`. Will be\n used to convert between x-y and lat-long coordinates.\n :param colour_map_object: Instance of `matplotlib.pyplot.cm`. Determines\n colours in scheme.\n :param colour_norm_object: Instance of `matplotlib.colors.BoundaryNorm`.\n Determines boundaries in colour scheme.\n :param min_colour_value: [used only if `colour_norm_object is None`]\n Minimum data value in colour scheme.\n :param max_colour_value: [used only if `colour_norm_object is None`]\n Max data value in colour scheme.\n :param grid_id: See doc for `_get_grid_point_coords`.\n :param first_row_in_full_grid: Row offset. field_matrix[0, 0] is at row m\n in the full model grid, where m = `first_row_in_full_grid`.\n :param first_column_in_full_grid: Same but for columns.\n :param opacity: Opacity of colour map (in range 0...1).\n ' if (colour_norm_object is None): error_checking.assert_is_greater(max_colour_value, min_colour_value) colour_norm_object = matplotlib.colors.Normalize(vmin=min_colour_value, vmax=max_colour_value, clip=False) error_checking.assert_is_real_numpy_array(field_matrix) error_checking.assert_is_numpy_array(field_matrix, num_dimensions=2) num_rows_in_subgrid = field_matrix.shape[0] num_columns_in_subgrid = field_matrix.shape[1] coordinate_dict = _get_grid_point_coords(model_name=model_name, grid_id=grid_id, first_row_in_full_grid=first_row_in_full_grid, last_row_in_full_grid=((first_row_in_full_grid + num_rows_in_subgrid) - 1), first_column_in_full_grid=first_column_in_full_grid, last_column_in_full_grid=((first_column_in_full_grid + num_columns_in_subgrid) - 1), basemap_object=basemap_object) grid_point_x_matrix_metres = coordinate_dict[X_COORD_MATRIX_KEY] grid_point_y_matrix_metres = coordinate_dict[Y_COORD_MATRIX_KEY] x_spacing_metres = ((grid_point_x_matrix_metres[(0, (- 1))] - grid_point_x_matrix_metres[(0, 0)]) / (num_columns_in_subgrid - 1)) y_spacing_metres = ((grid_point_y_matrix_metres[((- 1), 0)] - grid_point_y_matrix_metres[(0, 0)]) / (num_rows_in_subgrid - 1)) (field_matrix_at_edges, grid_cell_edges_x_metres, grid_cell_edges_y_metres) = grids.xy_field_grid_points_to_edges(field_matrix=field_matrix, x_min_metres=grid_point_x_matrix_metres[(0, 0)], y_min_metres=grid_point_y_matrix_metres[(0, 0)], x_spacing_metres=x_spacing_metres, y_spacing_metres=y_spacing_metres) field_matrix_at_edges = numpy.ma.masked_where(numpy.isnan(field_matrix_at_edges), field_matrix_at_edges) if hasattr(colour_norm_object, 'boundaries'): min_colour_value = colour_norm_object.boundaries[0] max_colour_value = colour_norm_object.boundaries[(- 1)] else: min_colour_value = colour_norm_object.vmin max_colour_value = colour_norm_object.vmax basemap_object.pcolormesh(grid_cell_edges_x_metres, grid_cell_edges_y_metres, field_matrix_at_edges, cmap=colour_map_object, norm=colour_norm_object, vmin=min_colour_value, vmax=max_colour_value, shading='flat', edgecolors='None', ax=axes_object, zorder=(- 1000000000000.0), alpha=opacity)<|docstring|>Plots colour map on subset of the full model grid. M = number of rows in subgrid N = number of columns in subgrid If `colour_norm_object is None`, both `min_colour_value` and `max_colour_value` must be specified. :param field_matrix: M-by-N numpy array of data values. :param model_name: See doc for `_get_grid_point_coords`. :param axes_object: Instance of `matplotlib.axes._subplots.AxesSubplot`. Will plot on these axes. :param basemap_object: Instance of `mpl_toolkits.basemap.Basemap`. Will be used to convert between x-y and lat-long coordinates. :param colour_map_object: Instance of `matplotlib.pyplot.cm`. Determines colours in scheme. :param colour_norm_object: Instance of `matplotlib.colors.BoundaryNorm`. Determines boundaries in colour scheme. :param min_colour_value: [used only if `colour_norm_object is None`] Minimum data value in colour scheme. :param max_colour_value: [used only if `colour_norm_object is None`] Max data value in colour scheme. :param grid_id: See doc for `_get_grid_point_coords`. :param first_row_in_full_grid: Row offset. field_matrix[0, 0] is at row m in the full model grid, where m = `first_row_in_full_grid`. :param first_column_in_full_grid: Same but for columns. :param opacity: Opacity of colour map (in range 0...1).<|endoftext|>
0eb68c90ef12200b65d196b76e26d3ec9442e54ac72b301be52783d2caf0cd34
def plot_wind_barbs_on_subgrid(u_wind_matrix_m_s01, v_wind_matrix_m_s01, model_name, axes_object, basemap_object, grid_id=None, first_row_in_full_grid=0, first_column_in_full_grid=0, plot_every_k_rows=1, plot_every_k_columns=1, barb_length=wind_plotting.DEFAULT_BARB_LENGTH, empty_barb_radius=wind_plotting.DEFAULT_EMPTY_BARB_RADIUS, fill_empty_barb=wind_plotting.FILL_EMPTY_BARB_DEFAULT, colour_map=wind_plotting.DEFAULT_COLOUR_MAP, colour_minimum_kt=wind_plotting.DEFAULT_COLOUR_MINIMUM_KT, colour_maximum_kt=wind_plotting.DEFAULT_COLOUR_MAXIMUM_KT): 'Plots wind barbs over subgrid.\n\n :param u_wind_matrix_m_s01: M-by-N numpy array of zonal wind speeds (metres\n per second).\n :param v_wind_matrix_m_s01: M-by-N numpy array of meridional wind speeds\n (metres per second).\n :param model_name: See doc for `plot_subgrid`.\n :param axes_object: Same.\n :param basemap_object: Same.\n :param grid_id: Same.\n :param first_row_in_full_grid: Row 0 in the subgrid (i.e., row 0 in\n `u_wind_matrix_m_s01` and `v_wind_matrix_m_s01` is row\n `first_row_in_full_grid` in the full grid).\n :param first_column_in_full_grid: Column 0 in the subgrid (i.e., column 0 in\n `u_wind_matrix_m_s01` and `v_wind_matrix_m_s01` is column\n `first_column_in_full_grid` in the full grid).\n :param plot_every_k_rows: Wind barbs will be plotted for every [k]th row in\n the subgrid, where k = `plot_every_k_rows`. For example, if\n `plot_every_k_rows = 2`, wind barbs will be plotted for rows 0, 2, 4,\n etc.\n :param plot_every_k_columns: Same as above, but for columns.\n :param barb_length: See doc for `wind_plotting.plot_wind_barbs`.\n :param empty_barb_radius: Same.\n :param fill_empty_barb: Same.\n :param colour_map: Same.\n :param colour_minimum_kt: Same.\n :param colour_maximum_kt: Same.\n ' error_checking.assert_is_real_numpy_array(u_wind_matrix_m_s01) error_checking.assert_is_numpy_array(u_wind_matrix_m_s01, num_dimensions=2) error_checking.assert_is_real_numpy_array(v_wind_matrix_m_s01) these_expected_dim = numpy.array(u_wind_matrix_m_s01.shape, dtype=int) error_checking.assert_is_numpy_array(v_wind_matrix_m_s01, exact_dimensions=these_expected_dim) error_checking.assert_is_integer(plot_every_k_rows) error_checking.assert_is_geq(plot_every_k_rows, 1) error_checking.assert_is_integer(plot_every_k_columns) error_checking.assert_is_geq(plot_every_k_columns, 1) num_rows_in_subgrid = u_wind_matrix_m_s01.shape[0] num_columns_in_subgrid = u_wind_matrix_m_s01.shape[1] coordinate_dict = _get_grid_point_coords(model_name=model_name, grid_id=grid_id, first_row_in_full_grid=first_row_in_full_grid, last_row_in_full_grid=((first_row_in_full_grid + num_rows_in_subgrid) - 1), first_column_in_full_grid=first_column_in_full_grid, last_column_in_full_grid=((first_column_in_full_grid + num_columns_in_subgrid) - 1), basemap_object=basemap_object) grid_point_lat_matrix_deg = coordinate_dict[LATITUDE_MATRIX_KEY] grid_point_lng_matrix_deg = coordinate_dict[LONGITUDE_MATRIX_KEY] u_wind_matrix_m_s01 = u_wind_matrix_m_s01[(::plot_every_k_rows, ::plot_every_k_columns)] v_wind_matrix_m_s01 = v_wind_matrix_m_s01[(::plot_every_k_rows, ::plot_every_k_columns)] grid_point_lat_matrix_deg = grid_point_lat_matrix_deg[(::plot_every_k_rows, ::plot_every_k_columns)] grid_point_lng_matrix_deg = grid_point_lng_matrix_deg[(::plot_every_k_rows, ::plot_every_k_columns)] num_wind_barbs = u_wind_matrix_m_s01.size u_winds_m_s01 = numpy.reshape(u_wind_matrix_m_s01, num_wind_barbs) v_winds_m_s01 = numpy.reshape(v_wind_matrix_m_s01, num_wind_barbs) latitudes_deg = numpy.reshape(grid_point_lat_matrix_deg, num_wind_barbs) longitudes_deg = numpy.reshape(grid_point_lng_matrix_deg, num_wind_barbs) nan_flags = numpy.logical_or(numpy.isnan(u_winds_m_s01), numpy.isnan(v_winds_m_s01)) real_indices = numpy.where(numpy.invert(nan_flags))[0] wind_plotting.plot_wind_barbs(basemap_object=basemap_object, axes_object=axes_object, latitudes_deg=latitudes_deg[real_indices], longitudes_deg=longitudes_deg[real_indices], u_winds_m_s01=u_winds_m_s01[real_indices], v_winds_m_s01=v_winds_m_s01[real_indices], barb_length=barb_length, empty_barb_radius=empty_barb_radius, fill_empty_barb=fill_empty_barb, colour_map=colour_map, colour_minimum_kt=colour_minimum_kt, colour_maximum_kt=colour_maximum_kt)
Plots wind barbs over subgrid. :param u_wind_matrix_m_s01: M-by-N numpy array of zonal wind speeds (metres per second). :param v_wind_matrix_m_s01: M-by-N numpy array of meridional wind speeds (metres per second). :param model_name: See doc for `plot_subgrid`. :param axes_object: Same. :param basemap_object: Same. :param grid_id: Same. :param first_row_in_full_grid: Row 0 in the subgrid (i.e., row 0 in `u_wind_matrix_m_s01` and `v_wind_matrix_m_s01` is row `first_row_in_full_grid` in the full grid). :param first_column_in_full_grid: Column 0 in the subgrid (i.e., column 0 in `u_wind_matrix_m_s01` and `v_wind_matrix_m_s01` is column `first_column_in_full_grid` in the full grid). :param plot_every_k_rows: Wind barbs will be plotted for every [k]th row in the subgrid, where k = `plot_every_k_rows`. For example, if `plot_every_k_rows = 2`, wind barbs will be plotted for rows 0, 2, 4, etc. :param plot_every_k_columns: Same as above, but for columns. :param barb_length: See doc for `wind_plotting.plot_wind_barbs`. :param empty_barb_radius: Same. :param fill_empty_barb: Same. :param colour_map: Same. :param colour_minimum_kt: Same. :param colour_maximum_kt: Same.
gewittergefahr/plotting/nwp_plotting.py
plot_wind_barbs_on_subgrid
dopplerchase/GewitterGefahr
26
python
def plot_wind_barbs_on_subgrid(u_wind_matrix_m_s01, v_wind_matrix_m_s01, model_name, axes_object, basemap_object, grid_id=None, first_row_in_full_grid=0, first_column_in_full_grid=0, plot_every_k_rows=1, plot_every_k_columns=1, barb_length=wind_plotting.DEFAULT_BARB_LENGTH, empty_barb_radius=wind_plotting.DEFAULT_EMPTY_BARB_RADIUS, fill_empty_barb=wind_plotting.FILL_EMPTY_BARB_DEFAULT, colour_map=wind_plotting.DEFAULT_COLOUR_MAP, colour_minimum_kt=wind_plotting.DEFAULT_COLOUR_MINIMUM_KT, colour_maximum_kt=wind_plotting.DEFAULT_COLOUR_MAXIMUM_KT): 'Plots wind barbs over subgrid.\n\n :param u_wind_matrix_m_s01: M-by-N numpy array of zonal wind speeds (metres\n per second).\n :param v_wind_matrix_m_s01: M-by-N numpy array of meridional wind speeds\n (metres per second).\n :param model_name: See doc for `plot_subgrid`.\n :param axes_object: Same.\n :param basemap_object: Same.\n :param grid_id: Same.\n :param first_row_in_full_grid: Row 0 in the subgrid (i.e., row 0 in\n `u_wind_matrix_m_s01` and `v_wind_matrix_m_s01` is row\n `first_row_in_full_grid` in the full grid).\n :param first_column_in_full_grid: Column 0 in the subgrid (i.e., column 0 in\n `u_wind_matrix_m_s01` and `v_wind_matrix_m_s01` is column\n `first_column_in_full_grid` in the full grid).\n :param plot_every_k_rows: Wind barbs will be plotted for every [k]th row in\n the subgrid, where k = `plot_every_k_rows`. For example, if\n `plot_every_k_rows = 2`, wind barbs will be plotted for rows 0, 2, 4,\n etc.\n :param plot_every_k_columns: Same as above, but for columns.\n :param barb_length: See doc for `wind_plotting.plot_wind_barbs`.\n :param empty_barb_radius: Same.\n :param fill_empty_barb: Same.\n :param colour_map: Same.\n :param colour_minimum_kt: Same.\n :param colour_maximum_kt: Same.\n ' error_checking.assert_is_real_numpy_array(u_wind_matrix_m_s01) error_checking.assert_is_numpy_array(u_wind_matrix_m_s01, num_dimensions=2) error_checking.assert_is_real_numpy_array(v_wind_matrix_m_s01) these_expected_dim = numpy.array(u_wind_matrix_m_s01.shape, dtype=int) error_checking.assert_is_numpy_array(v_wind_matrix_m_s01, exact_dimensions=these_expected_dim) error_checking.assert_is_integer(plot_every_k_rows) error_checking.assert_is_geq(plot_every_k_rows, 1) error_checking.assert_is_integer(plot_every_k_columns) error_checking.assert_is_geq(plot_every_k_columns, 1) num_rows_in_subgrid = u_wind_matrix_m_s01.shape[0] num_columns_in_subgrid = u_wind_matrix_m_s01.shape[1] coordinate_dict = _get_grid_point_coords(model_name=model_name, grid_id=grid_id, first_row_in_full_grid=first_row_in_full_grid, last_row_in_full_grid=((first_row_in_full_grid + num_rows_in_subgrid) - 1), first_column_in_full_grid=first_column_in_full_grid, last_column_in_full_grid=((first_column_in_full_grid + num_columns_in_subgrid) - 1), basemap_object=basemap_object) grid_point_lat_matrix_deg = coordinate_dict[LATITUDE_MATRIX_KEY] grid_point_lng_matrix_deg = coordinate_dict[LONGITUDE_MATRIX_KEY] u_wind_matrix_m_s01 = u_wind_matrix_m_s01[(::plot_every_k_rows, ::plot_every_k_columns)] v_wind_matrix_m_s01 = v_wind_matrix_m_s01[(::plot_every_k_rows, ::plot_every_k_columns)] grid_point_lat_matrix_deg = grid_point_lat_matrix_deg[(::plot_every_k_rows, ::plot_every_k_columns)] grid_point_lng_matrix_deg = grid_point_lng_matrix_deg[(::plot_every_k_rows, ::plot_every_k_columns)] num_wind_barbs = u_wind_matrix_m_s01.size u_winds_m_s01 = numpy.reshape(u_wind_matrix_m_s01, num_wind_barbs) v_winds_m_s01 = numpy.reshape(v_wind_matrix_m_s01, num_wind_barbs) latitudes_deg = numpy.reshape(grid_point_lat_matrix_deg, num_wind_barbs) longitudes_deg = numpy.reshape(grid_point_lng_matrix_deg, num_wind_barbs) nan_flags = numpy.logical_or(numpy.isnan(u_winds_m_s01), numpy.isnan(v_winds_m_s01)) real_indices = numpy.where(numpy.invert(nan_flags))[0] wind_plotting.plot_wind_barbs(basemap_object=basemap_object, axes_object=axes_object, latitudes_deg=latitudes_deg[real_indices], longitudes_deg=longitudes_deg[real_indices], u_winds_m_s01=u_winds_m_s01[real_indices], v_winds_m_s01=v_winds_m_s01[real_indices], barb_length=barb_length, empty_barb_radius=empty_barb_radius, fill_empty_barb=fill_empty_barb, colour_map=colour_map, colour_minimum_kt=colour_minimum_kt, colour_maximum_kt=colour_maximum_kt)
def plot_wind_barbs_on_subgrid(u_wind_matrix_m_s01, v_wind_matrix_m_s01, model_name, axes_object, basemap_object, grid_id=None, first_row_in_full_grid=0, first_column_in_full_grid=0, plot_every_k_rows=1, plot_every_k_columns=1, barb_length=wind_plotting.DEFAULT_BARB_LENGTH, empty_barb_radius=wind_plotting.DEFAULT_EMPTY_BARB_RADIUS, fill_empty_barb=wind_plotting.FILL_EMPTY_BARB_DEFAULT, colour_map=wind_plotting.DEFAULT_COLOUR_MAP, colour_minimum_kt=wind_plotting.DEFAULT_COLOUR_MINIMUM_KT, colour_maximum_kt=wind_plotting.DEFAULT_COLOUR_MAXIMUM_KT): 'Plots wind barbs over subgrid.\n\n :param u_wind_matrix_m_s01: M-by-N numpy array of zonal wind speeds (metres\n per second).\n :param v_wind_matrix_m_s01: M-by-N numpy array of meridional wind speeds\n (metres per second).\n :param model_name: See doc for `plot_subgrid`.\n :param axes_object: Same.\n :param basemap_object: Same.\n :param grid_id: Same.\n :param first_row_in_full_grid: Row 0 in the subgrid (i.e., row 0 in\n `u_wind_matrix_m_s01` and `v_wind_matrix_m_s01` is row\n `first_row_in_full_grid` in the full grid).\n :param first_column_in_full_grid: Column 0 in the subgrid (i.e., column 0 in\n `u_wind_matrix_m_s01` and `v_wind_matrix_m_s01` is column\n `first_column_in_full_grid` in the full grid).\n :param plot_every_k_rows: Wind barbs will be plotted for every [k]th row in\n the subgrid, where k = `plot_every_k_rows`. For example, if\n `plot_every_k_rows = 2`, wind barbs will be plotted for rows 0, 2, 4,\n etc.\n :param plot_every_k_columns: Same as above, but for columns.\n :param barb_length: See doc for `wind_plotting.plot_wind_barbs`.\n :param empty_barb_radius: Same.\n :param fill_empty_barb: Same.\n :param colour_map: Same.\n :param colour_minimum_kt: Same.\n :param colour_maximum_kt: Same.\n ' error_checking.assert_is_real_numpy_array(u_wind_matrix_m_s01) error_checking.assert_is_numpy_array(u_wind_matrix_m_s01, num_dimensions=2) error_checking.assert_is_real_numpy_array(v_wind_matrix_m_s01) these_expected_dim = numpy.array(u_wind_matrix_m_s01.shape, dtype=int) error_checking.assert_is_numpy_array(v_wind_matrix_m_s01, exact_dimensions=these_expected_dim) error_checking.assert_is_integer(plot_every_k_rows) error_checking.assert_is_geq(plot_every_k_rows, 1) error_checking.assert_is_integer(plot_every_k_columns) error_checking.assert_is_geq(plot_every_k_columns, 1) num_rows_in_subgrid = u_wind_matrix_m_s01.shape[0] num_columns_in_subgrid = u_wind_matrix_m_s01.shape[1] coordinate_dict = _get_grid_point_coords(model_name=model_name, grid_id=grid_id, first_row_in_full_grid=first_row_in_full_grid, last_row_in_full_grid=((first_row_in_full_grid + num_rows_in_subgrid) - 1), first_column_in_full_grid=first_column_in_full_grid, last_column_in_full_grid=((first_column_in_full_grid + num_columns_in_subgrid) - 1), basemap_object=basemap_object) grid_point_lat_matrix_deg = coordinate_dict[LATITUDE_MATRIX_KEY] grid_point_lng_matrix_deg = coordinate_dict[LONGITUDE_MATRIX_KEY] u_wind_matrix_m_s01 = u_wind_matrix_m_s01[(::plot_every_k_rows, ::plot_every_k_columns)] v_wind_matrix_m_s01 = v_wind_matrix_m_s01[(::plot_every_k_rows, ::plot_every_k_columns)] grid_point_lat_matrix_deg = grid_point_lat_matrix_deg[(::plot_every_k_rows, ::plot_every_k_columns)] grid_point_lng_matrix_deg = grid_point_lng_matrix_deg[(::plot_every_k_rows, ::plot_every_k_columns)] num_wind_barbs = u_wind_matrix_m_s01.size u_winds_m_s01 = numpy.reshape(u_wind_matrix_m_s01, num_wind_barbs) v_winds_m_s01 = numpy.reshape(v_wind_matrix_m_s01, num_wind_barbs) latitudes_deg = numpy.reshape(grid_point_lat_matrix_deg, num_wind_barbs) longitudes_deg = numpy.reshape(grid_point_lng_matrix_deg, num_wind_barbs) nan_flags = numpy.logical_or(numpy.isnan(u_winds_m_s01), numpy.isnan(v_winds_m_s01)) real_indices = numpy.where(numpy.invert(nan_flags))[0] wind_plotting.plot_wind_barbs(basemap_object=basemap_object, axes_object=axes_object, latitudes_deg=latitudes_deg[real_indices], longitudes_deg=longitudes_deg[real_indices], u_winds_m_s01=u_winds_m_s01[real_indices], v_winds_m_s01=v_winds_m_s01[real_indices], barb_length=barb_length, empty_barb_radius=empty_barb_radius, fill_empty_barb=fill_empty_barb, colour_map=colour_map, colour_minimum_kt=colour_minimum_kt, colour_maximum_kt=colour_maximum_kt)<|docstring|>Plots wind barbs over subgrid. :param u_wind_matrix_m_s01: M-by-N numpy array of zonal wind speeds (metres per second). :param v_wind_matrix_m_s01: M-by-N numpy array of meridional wind speeds (metres per second). :param model_name: See doc for `plot_subgrid`. :param axes_object: Same. :param basemap_object: Same. :param grid_id: Same. :param first_row_in_full_grid: Row 0 in the subgrid (i.e., row 0 in `u_wind_matrix_m_s01` and `v_wind_matrix_m_s01` is row `first_row_in_full_grid` in the full grid). :param first_column_in_full_grid: Column 0 in the subgrid (i.e., column 0 in `u_wind_matrix_m_s01` and `v_wind_matrix_m_s01` is column `first_column_in_full_grid` in the full grid). :param plot_every_k_rows: Wind barbs will be plotted for every [k]th row in the subgrid, where k = `plot_every_k_rows`. For example, if `plot_every_k_rows = 2`, wind barbs will be plotted for rows 0, 2, 4, etc. :param plot_every_k_columns: Same as above, but for columns. :param barb_length: See doc for `wind_plotting.plot_wind_barbs`. :param empty_barb_radius: Same. :param fill_empty_barb: Same. :param colour_map: Same. :param colour_minimum_kt: Same. :param colour_maximum_kt: Same.<|endoftext|>
38c9b97003b4d356ff3675897014688fd1c00b24a877f0363eee0274a39326de
def _create_canvas(self, parent): ' Create the MPL canvas. ' mpl_canvas = FigureCanvas(self.value) return mpl_canvas
Create the MPL canvas.
TraitsUI/matplotlib/traitsui_mpl_qt.py
_create_canvas
marshallmcdonnell/interactive_plotting
0
python
def _create_canvas(self, parent): ' ' mpl_canvas = FigureCanvas(self.value) return mpl_canvas
def _create_canvas(self, parent): ' ' mpl_canvas = FigureCanvas(self.value) return mpl_canvas<|docstring|>Create the MPL canvas.<|endoftext|>
2f54602683b63182523dbaca74013068fa653798093a469a6199b30cf060ee9a
def __init__(self, parent_frame, db, *args, **kwargs): ' This panel provides user interaction to common settings ' super(SippicanPanel, self).__init__(*args, **kwargs) self.parent_frame = parent_frame self.settings_db = db self.selected_profile_item = 0 main_box = wx.StaticBox(self) main_box_szr = wx.StaticBoxSizer(main_box, wx.VERTICAL) sippican_listen_port_szr = wx.BoxSizer(wx.HORIZONTAL) sippican_listen_port_txt_szr = wx.BoxSizer(wx.VERTICAL) sippican_listen_port_txt = wx.StaticText(self, label='Listen Port', style=wx.ALIGN_CENTER) sippican_listen_port_txt.Wrap(width=150) sippican_listen_port_txt_szr.AddStretchSpacer() sippican_listen_port_txt_szr.Add(sippican_listen_port_txt, 0, wx.EXPAND) sippican_listen_port_txt_szr.AddStretchSpacer() self.sippican_listen_port = intctrl.IntCtrl(main_box, min=0, max=999999, limited=True) self.sippican_listen_port.Bind(wx.EVT_TEXT, self.on_sippican_listen_port_change) lst_sippican_listen_port_szr = wx.BoxSizer(wx.VERTICAL) sippican_listen_port_btn = wx.Button(main_box, label='Apply', size=(80, (- 1))) sippican_listen_port_btn.SetToolTipString('Apply the new value') sippican_listen_port_btn.Bind(wx.EVT_BUTTON, self.on_apply_sippican_listen_port) lst_sippican_listen_port_szr.Add(sippican_listen_port_btn, 0, wx.ALIGN_RIGHT) sippican_listen_port_szr.Add(sippican_listen_port_txt_szr, 1, (wx.EXPAND | wx.ALL), 5) sippican_listen_port_szr.Add(self.sippican_listen_port, 2, (wx.EXPAND | wx.ALL), 5) sippican_listen_port_szr.Add(lst_sippican_listen_port_szr, 0, (wx.EXPAND | wx.ALL), 5) sippican_listen_timeout_szr = wx.BoxSizer(wx.HORIZONTAL) sippican_listen_timeout_txt_szr = wx.BoxSizer(wx.VERTICAL) sippican_listen_timeout_txt = wx.StaticText(self, label='Listen TimeOut', style=wx.ALIGN_CENTER) sippican_listen_timeout_txt.Wrap(width=150) sippican_listen_timeout_txt_szr.AddStretchSpacer() sippican_listen_timeout_txt_szr.Add(sippican_listen_timeout_txt, 0, wx.EXPAND) sippican_listen_timeout_txt_szr.AddStretchSpacer() self.sippican_listen_timeout = intctrl.IntCtrl(main_box, min=0, max=999999, limited=True) self.sippican_listen_timeout.Bind(wx.EVT_TEXT, self.on_sippican_listen_timeout_change) lst_sippican_listen_timeout_szr = wx.BoxSizer(wx.VERTICAL) sippican_listen_timeout_btn = wx.Button(main_box, label='Apply', size=(80, (- 1))) sippican_listen_timeout_btn.SetToolTipString('Apply the new value') sippican_listen_timeout_btn.Bind(wx.EVT_BUTTON, self.on_apply_sippican_listen_timeout) lst_sippican_listen_timeout_szr.Add(sippican_listen_timeout_btn, 0, wx.ALIGN_RIGHT) sippican_listen_timeout_szr.Add(sippican_listen_timeout_txt_szr, 1, (wx.EXPAND | wx.ALL), 5) sippican_listen_timeout_szr.Add(self.sippican_listen_timeout, 2, (wx.EXPAND | wx.ALL), 5) sippican_listen_timeout_szr.Add(lst_sippican_listen_timeout_szr, 0, (wx.EXPAND | wx.ALL), 5) main_box_szr.Add(sippican_listen_port_szr, 0, wx.EXPAND) main_box_szr.Add(sippican_listen_timeout_szr, 0, wx.EXPAND) self.SetSizer(main_box_szr) self.Layout() self.update_data()
This panel provides user interaction to common settings
hydroffice/ssp_settings/sippican_panel.py
__init__
hydroffice/hyo_sspmanager
0
python
def __init__(self, parent_frame, db, *args, **kwargs): ' ' super(SippicanPanel, self).__init__(*args, **kwargs) self.parent_frame = parent_frame self.settings_db = db self.selected_profile_item = 0 main_box = wx.StaticBox(self) main_box_szr = wx.StaticBoxSizer(main_box, wx.VERTICAL) sippican_listen_port_szr = wx.BoxSizer(wx.HORIZONTAL) sippican_listen_port_txt_szr = wx.BoxSizer(wx.VERTICAL) sippican_listen_port_txt = wx.StaticText(self, label='Listen Port', style=wx.ALIGN_CENTER) sippican_listen_port_txt.Wrap(width=150) sippican_listen_port_txt_szr.AddStretchSpacer() sippican_listen_port_txt_szr.Add(sippican_listen_port_txt, 0, wx.EXPAND) sippican_listen_port_txt_szr.AddStretchSpacer() self.sippican_listen_port = intctrl.IntCtrl(main_box, min=0, max=999999, limited=True) self.sippican_listen_port.Bind(wx.EVT_TEXT, self.on_sippican_listen_port_change) lst_sippican_listen_port_szr = wx.BoxSizer(wx.VERTICAL) sippican_listen_port_btn = wx.Button(main_box, label='Apply', size=(80, (- 1))) sippican_listen_port_btn.SetToolTipString('Apply the new value') sippican_listen_port_btn.Bind(wx.EVT_BUTTON, self.on_apply_sippican_listen_port) lst_sippican_listen_port_szr.Add(sippican_listen_port_btn, 0, wx.ALIGN_RIGHT) sippican_listen_port_szr.Add(sippican_listen_port_txt_szr, 1, (wx.EXPAND | wx.ALL), 5) sippican_listen_port_szr.Add(self.sippican_listen_port, 2, (wx.EXPAND | wx.ALL), 5) sippican_listen_port_szr.Add(lst_sippican_listen_port_szr, 0, (wx.EXPAND | wx.ALL), 5) sippican_listen_timeout_szr = wx.BoxSizer(wx.HORIZONTAL) sippican_listen_timeout_txt_szr = wx.BoxSizer(wx.VERTICAL) sippican_listen_timeout_txt = wx.StaticText(self, label='Listen TimeOut', style=wx.ALIGN_CENTER) sippican_listen_timeout_txt.Wrap(width=150) sippican_listen_timeout_txt_szr.AddStretchSpacer() sippican_listen_timeout_txt_szr.Add(sippican_listen_timeout_txt, 0, wx.EXPAND) sippican_listen_timeout_txt_szr.AddStretchSpacer() self.sippican_listen_timeout = intctrl.IntCtrl(main_box, min=0, max=999999, limited=True) self.sippican_listen_timeout.Bind(wx.EVT_TEXT, self.on_sippican_listen_timeout_change) lst_sippican_listen_timeout_szr = wx.BoxSizer(wx.VERTICAL) sippican_listen_timeout_btn = wx.Button(main_box, label='Apply', size=(80, (- 1))) sippican_listen_timeout_btn.SetToolTipString('Apply the new value') sippican_listen_timeout_btn.Bind(wx.EVT_BUTTON, self.on_apply_sippican_listen_timeout) lst_sippican_listen_timeout_szr.Add(sippican_listen_timeout_btn, 0, wx.ALIGN_RIGHT) sippican_listen_timeout_szr.Add(sippican_listen_timeout_txt_szr, 1, (wx.EXPAND | wx.ALL), 5) sippican_listen_timeout_szr.Add(self.sippican_listen_timeout, 2, (wx.EXPAND | wx.ALL), 5) sippican_listen_timeout_szr.Add(lst_sippican_listen_timeout_szr, 0, (wx.EXPAND | wx.ALL), 5) main_box_szr.Add(sippican_listen_port_szr, 0, wx.EXPAND) main_box_szr.Add(sippican_listen_timeout_szr, 0, wx.EXPAND) self.SetSizer(main_box_szr) self.Layout() self.update_data()
def __init__(self, parent_frame, db, *args, **kwargs): ' ' super(SippicanPanel, self).__init__(*args, **kwargs) self.parent_frame = parent_frame self.settings_db = db self.selected_profile_item = 0 main_box = wx.StaticBox(self) main_box_szr = wx.StaticBoxSizer(main_box, wx.VERTICAL) sippican_listen_port_szr = wx.BoxSizer(wx.HORIZONTAL) sippican_listen_port_txt_szr = wx.BoxSizer(wx.VERTICAL) sippican_listen_port_txt = wx.StaticText(self, label='Listen Port', style=wx.ALIGN_CENTER) sippican_listen_port_txt.Wrap(width=150) sippican_listen_port_txt_szr.AddStretchSpacer() sippican_listen_port_txt_szr.Add(sippican_listen_port_txt, 0, wx.EXPAND) sippican_listen_port_txt_szr.AddStretchSpacer() self.sippican_listen_port = intctrl.IntCtrl(main_box, min=0, max=999999, limited=True) self.sippican_listen_port.Bind(wx.EVT_TEXT, self.on_sippican_listen_port_change) lst_sippican_listen_port_szr = wx.BoxSizer(wx.VERTICAL) sippican_listen_port_btn = wx.Button(main_box, label='Apply', size=(80, (- 1))) sippican_listen_port_btn.SetToolTipString('Apply the new value') sippican_listen_port_btn.Bind(wx.EVT_BUTTON, self.on_apply_sippican_listen_port) lst_sippican_listen_port_szr.Add(sippican_listen_port_btn, 0, wx.ALIGN_RIGHT) sippican_listen_port_szr.Add(sippican_listen_port_txt_szr, 1, (wx.EXPAND | wx.ALL), 5) sippican_listen_port_szr.Add(self.sippican_listen_port, 2, (wx.EXPAND | wx.ALL), 5) sippican_listen_port_szr.Add(lst_sippican_listen_port_szr, 0, (wx.EXPAND | wx.ALL), 5) sippican_listen_timeout_szr = wx.BoxSizer(wx.HORIZONTAL) sippican_listen_timeout_txt_szr = wx.BoxSizer(wx.VERTICAL) sippican_listen_timeout_txt = wx.StaticText(self, label='Listen TimeOut', style=wx.ALIGN_CENTER) sippican_listen_timeout_txt.Wrap(width=150) sippican_listen_timeout_txt_szr.AddStretchSpacer() sippican_listen_timeout_txt_szr.Add(sippican_listen_timeout_txt, 0, wx.EXPAND) sippican_listen_timeout_txt_szr.AddStretchSpacer() self.sippican_listen_timeout = intctrl.IntCtrl(main_box, min=0, max=999999, limited=True) self.sippican_listen_timeout.Bind(wx.EVT_TEXT, self.on_sippican_listen_timeout_change) lst_sippican_listen_timeout_szr = wx.BoxSizer(wx.VERTICAL) sippican_listen_timeout_btn = wx.Button(main_box, label='Apply', size=(80, (- 1))) sippican_listen_timeout_btn.SetToolTipString('Apply the new value') sippican_listen_timeout_btn.Bind(wx.EVT_BUTTON, self.on_apply_sippican_listen_timeout) lst_sippican_listen_timeout_szr.Add(sippican_listen_timeout_btn, 0, wx.ALIGN_RIGHT) sippican_listen_timeout_szr.Add(sippican_listen_timeout_txt_szr, 1, (wx.EXPAND | wx.ALL), 5) sippican_listen_timeout_szr.Add(self.sippican_listen_timeout, 2, (wx.EXPAND | wx.ALL), 5) sippican_listen_timeout_szr.Add(lst_sippican_listen_timeout_szr, 0, (wx.EXPAND | wx.ALL), 5) main_box_szr.Add(sippican_listen_port_szr, 0, wx.EXPAND) main_box_szr.Add(sippican_listen_timeout_szr, 0, wx.EXPAND) self.SetSizer(main_box_szr) self.Layout() self.update_data()<|docstring|>This panel provides user interaction to common settings<|endoftext|>
c4d43f2e9dee404a893f292d2b56ad6e0f0c5c000ae573628f303e8441119adc
def update_data(self, event=None): ' Update the data from the database ' self.sippican_listen_port.ChangeValue(self.settings_db.sippican_listen_port) self.sippican_listen_port.SetColors(default_color=wx.BLACK) self.sippican_listen_timeout.ChangeValue(self.settings_db.sippican_listen_timeout) self.sippican_listen_timeout.SetColors(default_color=wx.BLACK)
Update the data from the database
hydroffice/ssp_settings/sippican_panel.py
update_data
hydroffice/hyo_sspmanager
0
python
def update_data(self, event=None): ' ' self.sippican_listen_port.ChangeValue(self.settings_db.sippican_listen_port) self.sippican_listen_port.SetColors(default_color=wx.BLACK) self.sippican_listen_timeout.ChangeValue(self.settings_db.sippican_listen_timeout) self.sippican_listen_timeout.SetColors(default_color=wx.BLACK)
def update_data(self, event=None): ' ' self.sippican_listen_port.ChangeValue(self.settings_db.sippican_listen_port) self.sippican_listen_port.SetColors(default_color=wx.BLACK) self.sippican_listen_timeout.ChangeValue(self.settings_db.sippican_listen_timeout) self.sippican_listen_timeout.SetColors(default_color=wx.BLACK)<|docstring|>Update the data from the database<|endoftext|>
3fecb220913cecac95893375d0ad71fc5df617b028070710c96d754e631a3758
def __init__(self, session, object_factory, request_validator): 'Initialize a new NetworkAccessDictionaryAttributesList\n object with the provided RestSession.\n\n Args:\n session(RestSession): The RESTful session object to be used for\n API calls to the Identity Services Engine service.\n\n Raises:\n TypeError: If the parameter types are incorrect.\n\n ' check_type(session, RestSession) super(NetworkAccessDictionaryAttributesList, self).__init__() self._session = session self._object_factory = object_factory self._request_validator = request_validator
Initialize a new NetworkAccessDictionaryAttributesList object with the provided RestSession. Args: session(RestSession): The RESTful session object to be used for API calls to the Identity Services Engine service. Raises: TypeError: If the parameter types are incorrect.
ciscoisesdk/api/v3_0_0/network_access_dictionary_attributes_list.py
__init__
CiscoISE/ciscoisesdk
36
python
def __init__(self, session, object_factory, request_validator): 'Initialize a new NetworkAccessDictionaryAttributesList\n object with the provided RestSession.\n\n Args:\n session(RestSession): The RESTful session object to be used for\n API calls to the Identity Services Engine service.\n\n Raises:\n TypeError: If the parameter types are incorrect.\n\n ' check_type(session, RestSession) super(NetworkAccessDictionaryAttributesList, self).__init__() self._session = session self._object_factory = object_factory self._request_validator = request_validator
def __init__(self, session, object_factory, request_validator): 'Initialize a new NetworkAccessDictionaryAttributesList\n object with the provided RestSession.\n\n Args:\n session(RestSession): The RESTful session object to be used for\n API calls to the Identity Services Engine service.\n\n Raises:\n TypeError: If the parameter types are incorrect.\n\n ' check_type(session, RestSession) super(NetworkAccessDictionaryAttributesList, self).__init__() self._session = session self._object_factory = object_factory self._request_validator = request_validator<|docstring|>Initialize a new NetworkAccessDictionaryAttributesList object with the provided RestSession. Args: session(RestSession): The RESTful session object to be used for API calls to the Identity Services Engine service. Raises: TypeError: If the parameter types are incorrect.<|endoftext|>
8ff2ef38130700121860ace97a7dfec8008e2a9f048b864a03e112fadaa5500d
def get_network_access_dictionaries_authentication(self, headers=None, **query_parameters): "Network Access Returns list of dictionary attributes for\n authentication.\n\n Args:\n headers(dict): Dictionary of HTTP Headers to send with the Request\n .\n **query_parameters: Additional query parameters (provides\n support for parameters that may be added in the future).\n\n Returns:\n\n RestResponse: REST response with following properties:\n\n - headers(MyDict): response headers.\n - response(MyDict): response body as a MyDict object. Access the object's properties by using the dot notation\n or the bracket notation.\n - content(bytes): representation of the request's response\n - text(str): representation of the request's response\n\n Raises:\n TypeError: If the parameter types are incorrect.\n MalformedRequest: If the request body created is invalid.\n ApiError: If the Identity Services Engine cloud returns an error.\n " check_type(headers, dict) if (headers is not None): if ('X-Request-ID' in headers): check_type(headers.get('X-Request-ID'), basestring) with_custom_headers = False _headers = (self._session.headers or {}) if headers: _headers.update(dict_of_str(headers)) with_custom_headers = True _params = {} _params.update(query_parameters) _params = dict_from_items_with_values(_params) path_params = {} e_url = ('/api/v1/policy/network-' + 'access/dictionaries/authentication') endpoint_full_url = apply_path_params(e_url, path_params) if with_custom_headers: _api_response = self._session.get(endpoint_full_url, params=_params, headers=_headers) else: _api_response = self._session.get(endpoint_full_url, params=_params) return self._object_factory('bpm_ab96d3d76de5d05bbac1f27feacb7b0_v3_0_0', _api_response)
Network Access Returns list of dictionary attributes for authentication. Args: headers(dict): Dictionary of HTTP Headers to send with the Request . **query_parameters: Additional query parameters (provides support for parameters that may be added in the future). Returns: RestResponse: REST response with following properties: - headers(MyDict): response headers. - response(MyDict): response body as a MyDict object. Access the object's properties by using the dot notation or the bracket notation. - content(bytes): representation of the request's response - text(str): representation of the request's response Raises: TypeError: If the parameter types are incorrect. MalformedRequest: If the request body created is invalid. ApiError: If the Identity Services Engine cloud returns an error.
ciscoisesdk/api/v3_0_0/network_access_dictionary_attributes_list.py
get_network_access_dictionaries_authentication
CiscoISE/ciscoisesdk
36
python
def get_network_access_dictionaries_authentication(self, headers=None, **query_parameters): "Network Access Returns list of dictionary attributes for\n authentication.\n\n Args:\n headers(dict): Dictionary of HTTP Headers to send with the Request\n .\n **query_parameters: Additional query parameters (provides\n support for parameters that may be added in the future).\n\n Returns:\n\n RestResponse: REST response with following properties:\n\n - headers(MyDict): response headers.\n - response(MyDict): response body as a MyDict object. Access the object's properties by using the dot notation\n or the bracket notation.\n - content(bytes): representation of the request's response\n - text(str): representation of the request's response\n\n Raises:\n TypeError: If the parameter types are incorrect.\n MalformedRequest: If the request body created is invalid.\n ApiError: If the Identity Services Engine cloud returns an error.\n " check_type(headers, dict) if (headers is not None): if ('X-Request-ID' in headers): check_type(headers.get('X-Request-ID'), basestring) with_custom_headers = False _headers = (self._session.headers or {}) if headers: _headers.update(dict_of_str(headers)) with_custom_headers = True _params = {} _params.update(query_parameters) _params = dict_from_items_with_values(_params) path_params = {} e_url = ('/api/v1/policy/network-' + 'access/dictionaries/authentication') endpoint_full_url = apply_path_params(e_url, path_params) if with_custom_headers: _api_response = self._session.get(endpoint_full_url, params=_params, headers=_headers) else: _api_response = self._session.get(endpoint_full_url, params=_params) return self._object_factory('bpm_ab96d3d76de5d05bbac1f27feacb7b0_v3_0_0', _api_response)
def get_network_access_dictionaries_authentication(self, headers=None, **query_parameters): "Network Access Returns list of dictionary attributes for\n authentication.\n\n Args:\n headers(dict): Dictionary of HTTP Headers to send with the Request\n .\n **query_parameters: Additional query parameters (provides\n support for parameters that may be added in the future).\n\n Returns:\n\n RestResponse: REST response with following properties:\n\n - headers(MyDict): response headers.\n - response(MyDict): response body as a MyDict object. Access the object's properties by using the dot notation\n or the bracket notation.\n - content(bytes): representation of the request's response\n - text(str): representation of the request's response\n\n Raises:\n TypeError: If the parameter types are incorrect.\n MalformedRequest: If the request body created is invalid.\n ApiError: If the Identity Services Engine cloud returns an error.\n " check_type(headers, dict) if (headers is not None): if ('X-Request-ID' in headers): check_type(headers.get('X-Request-ID'), basestring) with_custom_headers = False _headers = (self._session.headers or {}) if headers: _headers.update(dict_of_str(headers)) with_custom_headers = True _params = {} _params.update(query_parameters) _params = dict_from_items_with_values(_params) path_params = {} e_url = ('/api/v1/policy/network-' + 'access/dictionaries/authentication') endpoint_full_url = apply_path_params(e_url, path_params) if with_custom_headers: _api_response = self._session.get(endpoint_full_url, params=_params, headers=_headers) else: _api_response = self._session.get(endpoint_full_url, params=_params) return self._object_factory('bpm_ab96d3d76de5d05bbac1f27feacb7b0_v3_0_0', _api_response)<|docstring|>Network Access Returns list of dictionary attributes for authentication. Args: headers(dict): Dictionary of HTTP Headers to send with the Request . **query_parameters: Additional query parameters (provides support for parameters that may be added in the future). Returns: RestResponse: REST response with following properties: - headers(MyDict): response headers. - response(MyDict): response body as a MyDict object. Access the object's properties by using the dot notation or the bracket notation. - content(bytes): representation of the request's response - text(str): representation of the request's response Raises: TypeError: If the parameter types are incorrect. MalformedRequest: If the request body created is invalid. ApiError: If the Identity Services Engine cloud returns an error.<|endoftext|>
33c82acb357716a300bd48ef36d3821831690aeb9db7bc807d292043b28ae7f8
def get_all_authentication(self, headers=None, **query_parameters): 'Alias for `get_network_access_dictionaries_authentication <#ciscoisesdk.\n api.v3_0_0.network_access_dictionary_attributes_list.\n NetworkAccessDictionaryAttributesList.get_network_access_dictionaries_authentication>`_\n ' return self.get_network_access_dictionaries_authentication(headers=headers, **query_parameters)
Alias for `get_network_access_dictionaries_authentication <#ciscoisesdk. api.v3_0_0.network_access_dictionary_attributes_list. NetworkAccessDictionaryAttributesList.get_network_access_dictionaries_authentication>`_
ciscoisesdk/api/v3_0_0/network_access_dictionary_attributes_list.py
get_all_authentication
CiscoISE/ciscoisesdk
36
python
def get_all_authentication(self, headers=None, **query_parameters): 'Alias for `get_network_access_dictionaries_authentication <#ciscoisesdk.\n api.v3_0_0.network_access_dictionary_attributes_list.\n NetworkAccessDictionaryAttributesList.get_network_access_dictionaries_authentication>`_\n ' return self.get_network_access_dictionaries_authentication(headers=headers, **query_parameters)
def get_all_authentication(self, headers=None, **query_parameters): 'Alias for `get_network_access_dictionaries_authentication <#ciscoisesdk.\n api.v3_0_0.network_access_dictionary_attributes_list.\n NetworkAccessDictionaryAttributesList.get_network_access_dictionaries_authentication>`_\n ' return self.get_network_access_dictionaries_authentication(headers=headers, **query_parameters)<|docstring|>Alias for `get_network_access_dictionaries_authentication <#ciscoisesdk. api.v3_0_0.network_access_dictionary_attributes_list. NetworkAccessDictionaryAttributesList.get_network_access_dictionaries_authentication>`_<|endoftext|>
44b471a8d55545dc218f5a289fafedf28963f2cc63b8183fc581e478b17206b1
def get_network_access_dictionaries_authorization(self, headers=None, **query_parameters): "Network Access Returns list of dictionary attributes for\n authorization.\n\n Args:\n headers(dict): Dictionary of HTTP Headers to send with the Request\n .\n **query_parameters: Additional query parameters (provides\n support for parameters that may be added in the future).\n\n Returns:\n\n RestResponse: REST response with following properties:\n\n - headers(MyDict): response headers.\n - response(MyDict): response body as a MyDict object. Access the object's properties by using the dot notation\n or the bracket notation.\n - content(bytes): representation of the request's response\n - text(str): representation of the request's response\n\n Raises:\n TypeError: If the parameter types are incorrect.\n MalformedRequest: If the request body created is invalid.\n ApiError: If the Identity Services Engine cloud returns an error.\n " check_type(headers, dict) if (headers is not None): if ('X-Request-ID' in headers): check_type(headers.get('X-Request-ID'), basestring) with_custom_headers = False _headers = (self._session.headers or {}) if headers: _headers.update(dict_of_str(headers)) with_custom_headers = True _params = {} _params.update(query_parameters) _params = dict_from_items_with_values(_params) path_params = {} e_url = '/api/v1/policy/network-access/dictionaries/authorization' endpoint_full_url = apply_path_params(e_url, path_params) if with_custom_headers: _api_response = self._session.get(endpoint_full_url, params=_params, headers=_headers) else: _api_response = self._session.get(endpoint_full_url, params=_params) return self._object_factory('bpm_f68aee0cdb425390b3ca90b0b46e6e2c_v3_0_0', _api_response)
Network Access Returns list of dictionary attributes for authorization. Args: headers(dict): Dictionary of HTTP Headers to send with the Request . **query_parameters: Additional query parameters (provides support for parameters that may be added in the future). Returns: RestResponse: REST response with following properties: - headers(MyDict): response headers. - response(MyDict): response body as a MyDict object. Access the object's properties by using the dot notation or the bracket notation. - content(bytes): representation of the request's response - text(str): representation of the request's response Raises: TypeError: If the parameter types are incorrect. MalformedRequest: If the request body created is invalid. ApiError: If the Identity Services Engine cloud returns an error.
ciscoisesdk/api/v3_0_0/network_access_dictionary_attributes_list.py
get_network_access_dictionaries_authorization
CiscoISE/ciscoisesdk
36
python
def get_network_access_dictionaries_authorization(self, headers=None, **query_parameters): "Network Access Returns list of dictionary attributes for\n authorization.\n\n Args:\n headers(dict): Dictionary of HTTP Headers to send with the Request\n .\n **query_parameters: Additional query parameters (provides\n support for parameters that may be added in the future).\n\n Returns:\n\n RestResponse: REST response with following properties:\n\n - headers(MyDict): response headers.\n - response(MyDict): response body as a MyDict object. Access the object's properties by using the dot notation\n or the bracket notation.\n - content(bytes): representation of the request's response\n - text(str): representation of the request's response\n\n Raises:\n TypeError: If the parameter types are incorrect.\n MalformedRequest: If the request body created is invalid.\n ApiError: If the Identity Services Engine cloud returns an error.\n " check_type(headers, dict) if (headers is not None): if ('X-Request-ID' in headers): check_type(headers.get('X-Request-ID'), basestring) with_custom_headers = False _headers = (self._session.headers or {}) if headers: _headers.update(dict_of_str(headers)) with_custom_headers = True _params = {} _params.update(query_parameters) _params = dict_from_items_with_values(_params) path_params = {} e_url = '/api/v1/policy/network-access/dictionaries/authorization' endpoint_full_url = apply_path_params(e_url, path_params) if with_custom_headers: _api_response = self._session.get(endpoint_full_url, params=_params, headers=_headers) else: _api_response = self._session.get(endpoint_full_url, params=_params) return self._object_factory('bpm_f68aee0cdb425390b3ca90b0b46e6e2c_v3_0_0', _api_response)
def get_network_access_dictionaries_authorization(self, headers=None, **query_parameters): "Network Access Returns list of dictionary attributes for\n authorization.\n\n Args:\n headers(dict): Dictionary of HTTP Headers to send with the Request\n .\n **query_parameters: Additional query parameters (provides\n support for parameters that may be added in the future).\n\n Returns:\n\n RestResponse: REST response with following properties:\n\n - headers(MyDict): response headers.\n - response(MyDict): response body as a MyDict object. Access the object's properties by using the dot notation\n or the bracket notation.\n - content(bytes): representation of the request's response\n - text(str): representation of the request's response\n\n Raises:\n TypeError: If the parameter types are incorrect.\n MalformedRequest: If the request body created is invalid.\n ApiError: If the Identity Services Engine cloud returns an error.\n " check_type(headers, dict) if (headers is not None): if ('X-Request-ID' in headers): check_type(headers.get('X-Request-ID'), basestring) with_custom_headers = False _headers = (self._session.headers or {}) if headers: _headers.update(dict_of_str(headers)) with_custom_headers = True _params = {} _params.update(query_parameters) _params = dict_from_items_with_values(_params) path_params = {} e_url = '/api/v1/policy/network-access/dictionaries/authorization' endpoint_full_url = apply_path_params(e_url, path_params) if with_custom_headers: _api_response = self._session.get(endpoint_full_url, params=_params, headers=_headers) else: _api_response = self._session.get(endpoint_full_url, params=_params) return self._object_factory('bpm_f68aee0cdb425390b3ca90b0b46e6e2c_v3_0_0', _api_response)<|docstring|>Network Access Returns list of dictionary attributes for authorization. Args: headers(dict): Dictionary of HTTP Headers to send with the Request . **query_parameters: Additional query parameters (provides support for parameters that may be added in the future). Returns: RestResponse: REST response with following properties: - headers(MyDict): response headers. - response(MyDict): response body as a MyDict object. Access the object's properties by using the dot notation or the bracket notation. - content(bytes): representation of the request's response - text(str): representation of the request's response Raises: TypeError: If the parameter types are incorrect. MalformedRequest: If the request body created is invalid. ApiError: If the Identity Services Engine cloud returns an error.<|endoftext|>
9594adfbe910b6f82c84f698a68613e8ab29a5b2eee46b0617ff5b5f544135c2
def get_all_authorization(self, headers=None, **query_parameters): 'Alias for `get_network_access_dictionaries_authorization <#ciscoisesdk.\n api.v3_0_0.network_access_dictionary_attributes_list.\n NetworkAccessDictionaryAttributesList.get_network_access_dictionaries_authorization>`_\n ' return self.get_network_access_dictionaries_authorization(headers=headers, **query_parameters)
Alias for `get_network_access_dictionaries_authorization <#ciscoisesdk. api.v3_0_0.network_access_dictionary_attributes_list. NetworkAccessDictionaryAttributesList.get_network_access_dictionaries_authorization>`_
ciscoisesdk/api/v3_0_0/network_access_dictionary_attributes_list.py
get_all_authorization
CiscoISE/ciscoisesdk
36
python
def get_all_authorization(self, headers=None, **query_parameters): 'Alias for `get_network_access_dictionaries_authorization <#ciscoisesdk.\n api.v3_0_0.network_access_dictionary_attributes_list.\n NetworkAccessDictionaryAttributesList.get_network_access_dictionaries_authorization>`_\n ' return self.get_network_access_dictionaries_authorization(headers=headers, **query_parameters)
def get_all_authorization(self, headers=None, **query_parameters): 'Alias for `get_network_access_dictionaries_authorization <#ciscoisesdk.\n api.v3_0_0.network_access_dictionary_attributes_list.\n NetworkAccessDictionaryAttributesList.get_network_access_dictionaries_authorization>`_\n ' return self.get_network_access_dictionaries_authorization(headers=headers, **query_parameters)<|docstring|>Alias for `get_network_access_dictionaries_authorization <#ciscoisesdk. api.v3_0_0.network_access_dictionary_attributes_list. NetworkAccessDictionaryAttributesList.get_network_access_dictionaries_authorization>`_<|endoftext|>
ab37c813a80f8978c1a187176a3f58ec4c7f4d4dc8b76554725bdb29ff94a821
def get_network_access_dictionaries_policy_set(self, headers=None, **query_parameters): "Network Access Returns list of dictionary attributes for\n policyset.\n\n Args:\n headers(dict): Dictionary of HTTP Headers to send with the Request\n .\n **query_parameters: Additional query parameters (provides\n support for parameters that may be added in the future).\n\n Returns:\n\n RestResponse: REST response with following properties:\n\n - headers(MyDict): response headers.\n - response(MyDict): response body as a MyDict object. Access the object's properties by using the dot notation\n or the bracket notation.\n - content(bytes): representation of the request's response\n - text(str): representation of the request's response\n\n Raises:\n TypeError: If the parameter types are incorrect.\n MalformedRequest: If the request body created is invalid.\n ApiError: If the Identity Services Engine cloud returns an error.\n " check_type(headers, dict) if (headers is not None): if ('X-Request-ID' in headers): check_type(headers.get('X-Request-ID'), basestring) with_custom_headers = False _headers = (self._session.headers or {}) if headers: _headers.update(dict_of_str(headers)) with_custom_headers = True _params = {} _params.update(query_parameters) _params = dict_from_items_with_values(_params) path_params = {} e_url = '/api/v1/policy/network-access/dictionaries/policyset' endpoint_full_url = apply_path_params(e_url, path_params) if with_custom_headers: _api_response = self._session.get(endpoint_full_url, params=_params, headers=_headers) else: _api_response = self._session.get(endpoint_full_url, params=_params) return self._object_factory('bpm_c53b22885f5e5d82fb8cadd0332136_v3_0_0', _api_response)
Network Access Returns list of dictionary attributes for policyset. Args: headers(dict): Dictionary of HTTP Headers to send with the Request . **query_parameters: Additional query parameters (provides support for parameters that may be added in the future). Returns: RestResponse: REST response with following properties: - headers(MyDict): response headers. - response(MyDict): response body as a MyDict object. Access the object's properties by using the dot notation or the bracket notation. - content(bytes): representation of the request's response - text(str): representation of the request's response Raises: TypeError: If the parameter types are incorrect. MalformedRequest: If the request body created is invalid. ApiError: If the Identity Services Engine cloud returns an error.
ciscoisesdk/api/v3_0_0/network_access_dictionary_attributes_list.py
get_network_access_dictionaries_policy_set
CiscoISE/ciscoisesdk
36
python
def get_network_access_dictionaries_policy_set(self, headers=None, **query_parameters): "Network Access Returns list of dictionary attributes for\n policyset.\n\n Args:\n headers(dict): Dictionary of HTTP Headers to send with the Request\n .\n **query_parameters: Additional query parameters (provides\n support for parameters that may be added in the future).\n\n Returns:\n\n RestResponse: REST response with following properties:\n\n - headers(MyDict): response headers.\n - response(MyDict): response body as a MyDict object. Access the object's properties by using the dot notation\n or the bracket notation.\n - content(bytes): representation of the request's response\n - text(str): representation of the request's response\n\n Raises:\n TypeError: If the parameter types are incorrect.\n MalformedRequest: If the request body created is invalid.\n ApiError: If the Identity Services Engine cloud returns an error.\n " check_type(headers, dict) if (headers is not None): if ('X-Request-ID' in headers): check_type(headers.get('X-Request-ID'), basestring) with_custom_headers = False _headers = (self._session.headers or {}) if headers: _headers.update(dict_of_str(headers)) with_custom_headers = True _params = {} _params.update(query_parameters) _params = dict_from_items_with_values(_params) path_params = {} e_url = '/api/v1/policy/network-access/dictionaries/policyset' endpoint_full_url = apply_path_params(e_url, path_params) if with_custom_headers: _api_response = self._session.get(endpoint_full_url, params=_params, headers=_headers) else: _api_response = self._session.get(endpoint_full_url, params=_params) return self._object_factory('bpm_c53b22885f5e5d82fb8cadd0332136_v3_0_0', _api_response)
def get_network_access_dictionaries_policy_set(self, headers=None, **query_parameters): "Network Access Returns list of dictionary attributes for\n policyset.\n\n Args:\n headers(dict): Dictionary of HTTP Headers to send with the Request\n .\n **query_parameters: Additional query parameters (provides\n support for parameters that may be added in the future).\n\n Returns:\n\n RestResponse: REST response with following properties:\n\n - headers(MyDict): response headers.\n - response(MyDict): response body as a MyDict object. Access the object's properties by using the dot notation\n or the bracket notation.\n - content(bytes): representation of the request's response\n - text(str): representation of the request's response\n\n Raises:\n TypeError: If the parameter types are incorrect.\n MalformedRequest: If the request body created is invalid.\n ApiError: If the Identity Services Engine cloud returns an error.\n " check_type(headers, dict) if (headers is not None): if ('X-Request-ID' in headers): check_type(headers.get('X-Request-ID'), basestring) with_custom_headers = False _headers = (self._session.headers or {}) if headers: _headers.update(dict_of_str(headers)) with_custom_headers = True _params = {} _params.update(query_parameters) _params = dict_from_items_with_values(_params) path_params = {} e_url = '/api/v1/policy/network-access/dictionaries/policyset' endpoint_full_url = apply_path_params(e_url, path_params) if with_custom_headers: _api_response = self._session.get(endpoint_full_url, params=_params, headers=_headers) else: _api_response = self._session.get(endpoint_full_url, params=_params) return self._object_factory('bpm_c53b22885f5e5d82fb8cadd0332136_v3_0_0', _api_response)<|docstring|>Network Access Returns list of dictionary attributes for policyset. Args: headers(dict): Dictionary of HTTP Headers to send with the Request . **query_parameters: Additional query parameters (provides support for parameters that may be added in the future). Returns: RestResponse: REST response with following properties: - headers(MyDict): response headers. - response(MyDict): response body as a MyDict object. Access the object's properties by using the dot notation or the bracket notation. - content(bytes): representation of the request's response - text(str): representation of the request's response Raises: TypeError: If the parameter types are incorrect. MalformedRequest: If the request body created is invalid. ApiError: If the Identity Services Engine cloud returns an error.<|endoftext|>
b4ca5eb4aaf9655afc56a774cd3941e5e783a37a26f0104270b0c69004f764b4
def get_all_policy_set(self, headers=None, **query_parameters): 'Alias for `get_network_access_dictionaries_policy_set <#ciscoisesdk.\n api.v3_0_0.network_access_dictionary_attributes_list.\n NetworkAccessDictionaryAttributesList.get_network_access_dictionaries_policy_set>`_\n ' return self.get_network_access_dictionaries_policy_set(headers=headers, **query_parameters)
Alias for `get_network_access_dictionaries_policy_set <#ciscoisesdk. api.v3_0_0.network_access_dictionary_attributes_list. NetworkAccessDictionaryAttributesList.get_network_access_dictionaries_policy_set>`_
ciscoisesdk/api/v3_0_0/network_access_dictionary_attributes_list.py
get_all_policy_set
CiscoISE/ciscoisesdk
36
python
def get_all_policy_set(self, headers=None, **query_parameters): 'Alias for `get_network_access_dictionaries_policy_set <#ciscoisesdk.\n api.v3_0_0.network_access_dictionary_attributes_list.\n NetworkAccessDictionaryAttributesList.get_network_access_dictionaries_policy_set>`_\n ' return self.get_network_access_dictionaries_policy_set(headers=headers, **query_parameters)
def get_all_policy_set(self, headers=None, **query_parameters): 'Alias for `get_network_access_dictionaries_policy_set <#ciscoisesdk.\n api.v3_0_0.network_access_dictionary_attributes_list.\n NetworkAccessDictionaryAttributesList.get_network_access_dictionaries_policy_set>`_\n ' return self.get_network_access_dictionaries_policy_set(headers=headers, **query_parameters)<|docstring|>Alias for `get_network_access_dictionaries_policy_set <#ciscoisesdk. api.v3_0_0.network_access_dictionary_attributes_list. NetworkAccessDictionaryAttributesList.get_network_access_dictionaries_policy_set>`_<|endoftext|>
e89cd81de91550c379041076ccd137b29deb9e0ead8591dffc57c69471a9c26e
@classmethod def name(cls) -> str: 'Returns the name of the Algorithm.' return "Dijkstra's Algorithm"
Returns the name of the Algorithm.
search/algorithms/dijkstra.py
name
Dietr1ch/Search-py
6
python
@classmethod def name(cls) -> str: return "Dijkstra's Algorithm"
@classmethod def name(cls) -> str: return "Dijkstra's Algorithm"<|docstring|>Returns the name of the Algorithm.<|endoftext|>
74d30c2c395ee5eb6594d18af1e863d5cff8e5c85e05503f3c5ee362ef023b69
@classmethod def create_open(cls) -> Open: 'Returns the container to use for the Open set.' return Dijkstra.Open()
Returns the container to use for the Open set.
search/algorithms/dijkstra.py
create_open
Dietr1ch/Search-py
6
python
@classmethod def create_open(cls) -> Open: return Dijkstra.Open()
@classmethod def create_open(cls) -> Open: return Dijkstra.Open()<|docstring|>Returns the container to use for the Open set.<|endoftext|>
7d94851bf4d079d8b80928c53b4a6b35caae88ed8d866ba0812c0afeefa412ca
def create_starting_node(self, state: Space.State) -> Node: 'Create an Starting Node.' self.nodes_created += 1 return Dijkstra.DijkstraNode(state, action=None, parent=None, g=0)
Create an Starting Node.
search/algorithms/dijkstra.py
create_starting_node
Dietr1ch/Search-py
6
python
def create_starting_node(self, state: Space.State) -> Node: self.nodes_created += 1 return Dijkstra.DijkstraNode(state, action=None, parent=None, g=0)
def create_starting_node(self, state: Space.State) -> Node: self.nodes_created += 1 return Dijkstra.DijkstraNode(state, action=None, parent=None, g=0)<|docstring|>Create an Starting Node.<|endoftext|>
f87a95c551c5a89e819ea4bf080ec36d5b3ac76025f2894eda4606c910e5c718
def reach(self, state: Space.State, action: Space.Action, parent: DijkstraNode): 'Reaches a state and updates Open.' g = (parent.g + action.cost(parent.state)) if (state not in self.open): self.nodes_created += 1 self.open.insert(Dijkstra.DijkstraNode(state, action=action, parent=parent, g=g)) return old_node = self.open[state] if (g >= old_node.g): return self.nodes_updated += 1 old_node.action = action old_node.parent = parent old_node.g = g self.open.sync_improvement(old_node)
Reaches a state and updates Open.
search/algorithms/dijkstra.py
reach
Dietr1ch/Search-py
6
python
def reach(self, state: Space.State, action: Space.Action, parent: DijkstraNode): g = (parent.g + action.cost(parent.state)) if (state not in self.open): self.nodes_created += 1 self.open.insert(Dijkstra.DijkstraNode(state, action=action, parent=parent, g=g)) return old_node = self.open[state] if (g >= old_node.g): return self.nodes_updated += 1 old_node.action = action old_node.parent = parent old_node.g = g self.open.sync_improvement(old_node)
def reach(self, state: Space.State, action: Space.Action, parent: DijkstraNode): g = (parent.g + action.cost(parent.state)) if (state not in self.open): self.nodes_created += 1 self.open.insert(Dijkstra.DijkstraNode(state, action=action, parent=parent, g=g)) return old_node = self.open[state] if (g >= old_node.g): return self.nodes_updated += 1 old_node.action = action old_node.parent = parent old_node.g = g self.open.sync_improvement(old_node)<|docstring|>Reaches a state and updates Open.<|endoftext|>
8bf6eda308fb6c033e0ce37b9ea4aa59442de0b4bd486d2c25b75a601e6b89ed
def __str__(self) -> str: 'The string representation of this Node.' parent_action = 'ø' parent_state = 'ø' if self.parent: parent_action = str(self.action) parent_state = str(self.parent.state) return 'DijkstraNode[s={}, a={}, p.s={}, g={}]'.format(self.state, parent_action, parent_state, self.g)
The string representation of this Node.
search/algorithms/dijkstra.py
__str__
Dietr1ch/Search-py
6
python
def __str__(self) -> str: parent_action = 'ø' parent_state = 'ø' if self.parent: parent_action = str(self.action) parent_state = str(self.parent.state) return 'DijkstraNode[s={}, a={}, p.s={}, g={}]'.format(self.state, parent_action, parent_state, self.g)
def __str__(self) -> str: parent_action = 'ø' parent_state = 'ø' if self.parent: parent_action = str(self.action) parent_state = str(self.parent.state) return 'DijkstraNode[s={}, a={}, p.s={}, g={}]'.format(self.state, parent_action, parent_state, self.g)<|docstring|>The string representation of this Node.<|endoftext|>
4f792185dba77ce52d23e34cedb7518e9939dab8b407671c5544a6203d8d5a9c
def __lt__(self, other) -> bool: 'Returns < of "(f, h)" to perform informed/optimistic tie-breaking.' return (self.g < other.g)
Returns < of "(f, h)" to perform informed/optimistic tie-breaking.
search/algorithms/dijkstra.py
__lt__
Dietr1ch/Search-py
6
python
def __lt__(self, other) -> bool: return (self.g < other.g)
def __lt__(self, other) -> bool: return (self.g < other.g)<|docstring|>Returns < of "(f, h)" to perform informed/optimistic tie-breaking.<|endoftext|>
b9c246789b7eedc62627a894f883a201d89d513e97e0a4ee675f3221ef6283e4
def insert(self, node: Node): 'Appends a Node into the Open list.' self.node_map[node.state] = node self.heap.push(node)
Appends a Node into the Open list.
search/algorithms/dijkstra.py
insert
Dietr1ch/Search-py
6
python
def insert(self, node: Node): self.node_map[node.state] = node self.heap.push(node)
def insert(self, node: Node): self.node_map[node.state] = node self.heap.push(node)<|docstring|>Appends a Node into the Open list.<|endoftext|>
1f58b8f96569ed1c69cab6490a66149ae131c5b9976dc9d03a5eaa476647349c
def pop(self) -> Node: 'Takes the first (oldest) Node from the Open list.' node = self.heap.pop() return self.node_map.pop(node.state)
Takes the first (oldest) Node from the Open list.
search/algorithms/dijkstra.py
pop
Dietr1ch/Search-py
6
python
def pop(self) -> Node: node = self.heap.pop() return self.node_map.pop(node.state)
def pop(self) -> Node: node = self.heap.pop() return self.node_map.pop(node.state)<|docstring|>Takes the first (oldest) Node from the Open list.<|endoftext|>
03423da9290e1fb94f66e163ef5d5299c83ddec40f99deda5e6609b967ec535e
def __len__(self) -> int: 'Counts the Nodes in Open.' return len(self.heap)
Counts the Nodes in Open.
search/algorithms/dijkstra.py
__len__
Dietr1ch/Search-py
6
python
def __len__(self) -> int: return len(self.heap)
def __len__(self) -> int: return len(self.heap)<|docstring|>Counts the Nodes in Open.<|endoftext|>
9884bf7ff2d90ddecf70918ddf101da745671156c1936495190b5303862d141c
def __bool__(self) -> bool: "Checks if there's Nodes in Open." return (len(self.heap) > 0)
Checks if there's Nodes in Open.
search/algorithms/dijkstra.py
__bool__
Dietr1ch/Search-py
6
python
def __bool__(self) -> bool: return (len(self.heap) > 0)
def __bool__(self) -> bool: return (len(self.heap) > 0)<|docstring|>Checks if there's Nodes in Open.<|endoftext|>
39b9274b4a23ab4a3f5067737bffc17b6fff94a3f290460318ab4a8a1e6dbfb2
def __contains__(self, state: Space.State) -> bool: "Checks if there's a Node for a state in Open." return (state in self.node_map)
Checks if there's a Node for a state in Open.
search/algorithms/dijkstra.py
__contains__
Dietr1ch/Search-py
6
python
def __contains__(self, state: Space.State) -> bool: return (state in self.node_map)
def __contains__(self, state: Space.State) -> bool: return (state in self.node_map)<|docstring|>Checks if there's a Node for a state in Open.<|endoftext|>
8eb7c51c41351c6f9281fa5fdf7b5a495c5fb4b846f44c4572a802fe185e909c
def sync_improvement(self, node): 'Updates the internal heap to keep up with a node improvement.\n\n It must be called right after any node gets a better score.\n ' self.heap.sync_improvement(node)
Updates the internal heap to keep up with a node improvement. It must be called right after any node gets a better score.
search/algorithms/dijkstra.py
sync_improvement
Dietr1ch/Search-py
6
python
def sync_improvement(self, node): 'Updates the internal heap to keep up with a node improvement.\n\n It must be called right after any node gets a better score.\n ' self.heap.sync_improvement(node)
def sync_improvement(self, node): 'Updates the internal heap to keep up with a node improvement.\n\n It must be called right after any node gets a better score.\n ' self.heap.sync_improvement(node)<|docstring|>Updates the internal heap to keep up with a node improvement. It must be called right after any node gets a better score.<|endoftext|>
3834fa0516797885fb31b8fe8b60e023f65731f4909bd11be6861063a3612a2a
def print_file_metadata(service, file_id): "Print a file's metadata.\n\n Args:\n service: Drive API service instance.\n file_id: ID of the file to print metadata for.\n " try: file = service.files().get(fileId=file_id).execute() print('Title: {}'.format(file['title'])) print('MIME type: {}'.format(file['mimeType'])) except errors.HttpError as error: print('An error occurred: {}'.fromat(error))
Print a file's metadata. Args: service: Drive API service instance. file_id: ID of the file to print metadata for.
install_tools/download_config.py
print_file_metadata
yeahmatte/traefik-reversed-proxy
0
python
def print_file_metadata(service, file_id): "Print a file's metadata.\n\n Args:\n service: Drive API service instance.\n file_id: ID of the file to print metadata for.\n " try: file = service.files().get(fileId=file_id).execute() print('Title: {}'.format(file['title'])) print('MIME type: {}'.format(file['mimeType'])) except errors.HttpError as error: print('An error occurred: {}'.fromat(error))
def print_file_metadata(service, file_id): "Print a file's metadata.\n\n Args:\n service: Drive API service instance.\n file_id: ID of the file to print metadata for.\n " try: file = service.files().get(fileId=file_id).execute() print('Title: {}'.format(file['title'])) print('MIME type: {}'.format(file['mimeType'])) except errors.HttpError as error: print('An error occurred: {}'.fromat(error))<|docstring|>Print a file's metadata. Args: service: Drive API service instance. file_id: ID of the file to print metadata for.<|endoftext|>
77f3e72ce760707c976400e044908042d416d75bc1b98681db96248fc14b1a0f
def print_file_content(service, file_id): "Print a file's content.\n\n Args:\n service: Drive API service instance.\n file_id: ID of the file.\n Returns:\n File's content if successful, None otherwise.\n " try: print(service.files().get_media(fileId=file_id).execute()) except errors.HttpError as error: print('An error occurred: {}'.format(error))
Print a file's content. Args: service: Drive API service instance. file_id: ID of the file. Returns: File's content if successful, None otherwise.
install_tools/download_config.py
print_file_content
yeahmatte/traefik-reversed-proxy
0
python
def print_file_content(service, file_id): "Print a file's content.\n\n Args:\n service: Drive API service instance.\n file_id: ID of the file.\n Returns:\n File's content if successful, None otherwise.\n " try: print(service.files().get_media(fileId=file_id).execute()) except errors.HttpError as error: print('An error occurred: {}'.format(error))
def print_file_content(service, file_id): "Print a file's content.\n\n Args:\n service: Drive API service instance.\n file_id: ID of the file.\n Returns:\n File's content if successful, None otherwise.\n " try: print(service.files().get_media(fileId=file_id).execute()) except errors.HttpError as error: print('An error occurred: {}'.format(error))<|docstring|>Print a file's content. Args: service: Drive API service instance. file_id: ID of the file. Returns: File's content if successful, None otherwise.<|endoftext|>
e5e534112265030ca76c39dabdd00b817249d332d3b1e89e06a646cd159e1116
def download_file(service, file_id, local_fd): "Download a Drive file's content to the local filesystem.\n\n Args:\n service: Drive API Service instance.\n file_id: ID of the Drive file that will downloaded.\n local_fd: io.Base or file object, the stream that the Drive file's\n contents will be written to.\n " request = service.files().get_media(fileId=file_id) media_request = http.MediaIoBaseDownload(local_fd, request) while True: try: (download_progress, done) = media_request.next_chunk() except errors.HttpError as error: print('An error occurred: {}'.format(error)) return if download_progress: print(('Download Progress: %d%%' % int((download_progress.progress() * 100)))) if done: print('Download Complete') return
Download a Drive file's content to the local filesystem. Args: service: Drive API Service instance. file_id: ID of the Drive file that will downloaded. local_fd: io.Base or file object, the stream that the Drive file's contents will be written to.
install_tools/download_config.py
download_file
yeahmatte/traefik-reversed-proxy
0
python
def download_file(service, file_id, local_fd): "Download a Drive file's content to the local filesystem.\n\n Args:\n service: Drive API Service instance.\n file_id: ID of the Drive file that will downloaded.\n local_fd: io.Base or file object, the stream that the Drive file's\n contents will be written to.\n " request = service.files().get_media(fileId=file_id) media_request = http.MediaIoBaseDownload(local_fd, request) while True: try: (download_progress, done) = media_request.next_chunk() except errors.HttpError as error: print('An error occurred: {}'.format(error)) return if download_progress: print(('Download Progress: %d%%' % int((download_progress.progress() * 100)))) if done: print('Download Complete') return
def download_file(service, file_id, local_fd): "Download a Drive file's content to the local filesystem.\n\n Args:\n service: Drive API Service instance.\n file_id: ID of the Drive file that will downloaded.\n local_fd: io.Base or file object, the stream that the Drive file's\n contents will be written to.\n " request = service.files().get_media(fileId=file_id) media_request = http.MediaIoBaseDownload(local_fd, request) while True: try: (download_progress, done) = media_request.next_chunk() except errors.HttpError as error: print('An error occurred: {}'.format(error)) return if download_progress: print(('Download Progress: %d%%' % int((download_progress.progress() * 100)))) if done: print('Download Complete') return<|docstring|>Download a Drive file's content to the local filesystem. Args: service: Drive API Service instance. file_id: ID of the Drive file that will downloaded. local_fd: io.Base or file object, the stream that the Drive file's contents will be written to.<|endoftext|>
a4787c8c75220b891e2a069e158f4e90a0c3e0af5c44eed82eb5787a5ca96631
def __init__(self, std_dev) -> None: '\n std_dev will be interpreted as having units of the Instrument pixel size.\n Otherwise it can be describe in the description attribute of the PSF.\n ' psf_type = self.__class__.__name__ super().__init__(psf_type, std_dev=std_dev)
std_dev will be interpreted as having units of the Instrument pixel size. Otherwise it can be describe in the description attribute of the PSF.
python/lensmodelapi/api/psf.py
__init__
aymgal/LensModelAPI
3
python
def __init__(self, std_dev) -> None: '\n std_dev will be interpreted as having units of the Instrument pixel size.\n Otherwise it can be describe in the description attribute of the PSF.\n ' psf_type = self.__class__.__name__ super().__init__(psf_type, std_dev=std_dev)
def __init__(self, std_dev) -> None: '\n std_dev will be interpreted as having units of the Instrument pixel size.\n Otherwise it can be describe in the description attribute of the PSF.\n ' psf_type = self.__class__.__name__ super().__init__(psf_type, std_dev=std_dev)<|docstring|>std_dev will be interpreted as having units of the Instrument pixel size. Otherwise it can be describe in the description attribute of the PSF.<|endoftext|>
2e54c060722aa89c7ab36023b94b9a5543e5acbfcca06e6fd941c9a3e78ae6c4
def euclidean_distance(geometry, source_crs, zoom, cell_type=CellType.FLOAT64): 'Calculates the Euclidean distance of a Shapely geometry.\n\n Args:\n geometry (shapely.geometry): The input geometry to compute the Euclidean distance\n for.\n source_crs (str or int): The CRS of the input geometry.\n zoom (int): The zoom level of the output raster.\n cell_type (str or :class:`~geopyspark.geotrellis.constants.CellType`, optional): The data\n type of the cells for the new layer. If not specified, then ``CellType.FLOAT64`` is used.\n\n Note:\n This function may run very slowly for polygonal inputs if they cover many cells of\n the output raster.\n\n Returns:\n :class:`~geopyspark.geotrellis.rdd.TiledRasterLayer`\n ' if isinstance(source_crs, int): source_crs = str(source_crs) pysc = get_spark_context() srdd = pysc._gateway.jvm.geopyspark.geotrellis.SpatialTiledRasterLayer.euclideanDistance(pysc._jsc.sc(), shapely.wkb.dumps(geometry), source_crs, CellType(cell_type).value, zoom) return TiledRasterLayer(LayerType.SPATIAL, srdd)
Calculates the Euclidean distance of a Shapely geometry. Args: geometry (shapely.geometry): The input geometry to compute the Euclidean distance for. source_crs (str or int): The CRS of the input geometry. zoom (int): The zoom level of the output raster. cell_type (str or :class:`~geopyspark.geotrellis.constants.CellType`, optional): The data type of the cells for the new layer. If not specified, then ``CellType.FLOAT64`` is used. Note: This function may run very slowly for polygonal inputs if they cover many cells of the output raster. Returns: :class:`~geopyspark.geotrellis.rdd.TiledRasterLayer`
geopyspark/geotrellis/euclidean_distance.py
euclidean_distance
lossyrob/geotrellis-python
182
python
def euclidean_distance(geometry, source_crs, zoom, cell_type=CellType.FLOAT64): 'Calculates the Euclidean distance of a Shapely geometry.\n\n Args:\n geometry (shapely.geometry): The input geometry to compute the Euclidean distance\n for.\n source_crs (str or int): The CRS of the input geometry.\n zoom (int): The zoom level of the output raster.\n cell_type (str or :class:`~geopyspark.geotrellis.constants.CellType`, optional): The data\n type of the cells for the new layer. If not specified, then ``CellType.FLOAT64`` is used.\n\n Note:\n This function may run very slowly for polygonal inputs if they cover many cells of\n the output raster.\n\n Returns:\n :class:`~geopyspark.geotrellis.rdd.TiledRasterLayer`\n ' if isinstance(source_crs, int): source_crs = str(source_crs) pysc = get_spark_context() srdd = pysc._gateway.jvm.geopyspark.geotrellis.SpatialTiledRasterLayer.euclideanDistance(pysc._jsc.sc(), shapely.wkb.dumps(geometry), source_crs, CellType(cell_type).value, zoom) return TiledRasterLayer(LayerType.SPATIAL, srdd)
def euclidean_distance(geometry, source_crs, zoom, cell_type=CellType.FLOAT64): 'Calculates the Euclidean distance of a Shapely geometry.\n\n Args:\n geometry (shapely.geometry): The input geometry to compute the Euclidean distance\n for.\n source_crs (str or int): The CRS of the input geometry.\n zoom (int): The zoom level of the output raster.\n cell_type (str or :class:`~geopyspark.geotrellis.constants.CellType`, optional): The data\n type of the cells for the new layer. If not specified, then ``CellType.FLOAT64`` is used.\n\n Note:\n This function may run very slowly for polygonal inputs if they cover many cells of\n the output raster.\n\n Returns:\n :class:`~geopyspark.geotrellis.rdd.TiledRasterLayer`\n ' if isinstance(source_crs, int): source_crs = str(source_crs) pysc = get_spark_context() srdd = pysc._gateway.jvm.geopyspark.geotrellis.SpatialTiledRasterLayer.euclideanDistance(pysc._jsc.sc(), shapely.wkb.dumps(geometry), source_crs, CellType(cell_type).value, zoom) return TiledRasterLayer(LayerType.SPATIAL, srdd)<|docstring|>Calculates the Euclidean distance of a Shapely geometry. Args: geometry (shapely.geometry): The input geometry to compute the Euclidean distance for. source_crs (str or int): The CRS of the input geometry. zoom (int): The zoom level of the output raster. cell_type (str or :class:`~geopyspark.geotrellis.constants.CellType`, optional): The data type of the cells for the new layer. If not specified, then ``CellType.FLOAT64`` is used. Note: This function may run very slowly for polygonal inputs if they cover many cells of the output raster. Returns: :class:`~geopyspark.geotrellis.rdd.TiledRasterLayer`<|endoftext|>
60527c626450a02fa5ab7fb97f598a9dbc7a6eb0afc90e4d59ab1066073449f3
def alleles(pop): '\n Metodo estatico que recibe un dataframe y lo representa\n graficamente\n ' (labels, caption) = Plots.__populationInfo(pop) alleles = pop.getDataFrame('alelos') plt.style.use('ggplot') plt.figure(figsize=(6, 4), constrained_layout=True) plt.title('Change in allelic frequencies') plt.xlabel('Generations') plt.ylabel('p') plt.ylim([0, 1.05]) plt.plot(alleles) plt.legend(alleles.columns) plt.xticks(rotation=45) plt.show()
Metodo estatico que recibe un dataframe y lo representa graficamente
populy/plots.py
alleles
R-mario/simuPy
0
python
def alleles(pop): '\n Metodo estatico que recibe un dataframe y lo representa\n graficamente\n ' (labels, caption) = Plots.__populationInfo(pop) alleles = pop.getDataFrame('alelos') plt.style.use('ggplot') plt.figure(figsize=(6, 4), constrained_layout=True) plt.title('Change in allelic frequencies') plt.xlabel('Generations') plt.ylabel('p') plt.ylim([0, 1.05]) plt.plot(alleles) plt.legend(alleles.columns) plt.xticks(rotation=45) plt.show()
def alleles(pop): '\n Metodo estatico que recibe un dataframe y lo representa\n graficamente\n ' (labels, caption) = Plots.__populationInfo(pop) alleles = pop.getDataFrame('alelos') plt.style.use('ggplot') plt.figure(figsize=(6, 4), constrained_layout=True) plt.title('Change in allelic frequencies') plt.xlabel('Generations') plt.ylabel('p') plt.ylim([0, 1.05]) plt.plot(alleles) plt.legend(alleles.columns) plt.xticks(rotation=45) plt.show()<|docstring|>Metodo estatico que recibe un dataframe y lo representa graficamente<|endoftext|>
a71734c9225b4716f16038532b6e96c0445df992ba326e65805904a926975219
def __init__(self, email=None, first_name=None, last_name=None, role=None, external_data=None, language=None, sso_identifier=None, password=None, location=None): '\n NewUser - a model defined in Swagger\n\n :param dict swaggerTypes: The key is attribute name\n and the value is attribute type.\n :param dict attributeMap: The key is attribute name\n and the value is json key in definition.\n ' self.swagger_types = {'email': 'str', 'first_name': 'str', 'last_name': 'str', 'role': 'str', 'external_data': 'str', 'language': 'UserLanguage', 'sso_identifier': 'str', 'password': 'str', 'location': 'Location'} self.attribute_map = {'email': 'email', 'first_name': 'firstName', 'last_name': 'lastName', 'role': 'role', 'external_data': 'externalData', 'language': 'language', 'sso_identifier': 'ssoIdentifier', 'password': 'password', 'location': 'location'} self._email = email self._first_name = first_name self._last_name = last_name self._role = role self._external_data = external_data self._language = language self._sso_identifier = sso_identifier self._password = password self._location = location
NewUser - a model defined in Swagger :param dict swaggerTypes: The key is attribute name and the value is attribute type. :param dict attributeMap: The key is attribute name and the value is json key in definition.
smartrecruiters_python_client/models/new_user.py
__init__
roksela/smartrecruiters-python-client
5
python
def __init__(self, email=None, first_name=None, last_name=None, role=None, external_data=None, language=None, sso_identifier=None, password=None, location=None): '\n NewUser - a model defined in Swagger\n\n :param dict swaggerTypes: The key is attribute name\n and the value is attribute type.\n :param dict attributeMap: The key is attribute name\n and the value is json key in definition.\n ' self.swagger_types = {'email': 'str', 'first_name': 'str', 'last_name': 'str', 'role': 'str', 'external_data': 'str', 'language': 'UserLanguage', 'sso_identifier': 'str', 'password': 'str', 'location': 'Location'} self.attribute_map = {'email': 'email', 'first_name': 'firstName', 'last_name': 'lastName', 'role': 'role', 'external_data': 'externalData', 'language': 'language', 'sso_identifier': 'ssoIdentifier', 'password': 'password', 'location': 'location'} self._email = email self._first_name = first_name self._last_name = last_name self._role = role self._external_data = external_data self._language = language self._sso_identifier = sso_identifier self._password = password self._location = location
def __init__(self, email=None, first_name=None, last_name=None, role=None, external_data=None, language=None, sso_identifier=None, password=None, location=None): '\n NewUser - a model defined in Swagger\n\n :param dict swaggerTypes: The key is attribute name\n and the value is attribute type.\n :param dict attributeMap: The key is attribute name\n and the value is json key in definition.\n ' self.swagger_types = {'email': 'str', 'first_name': 'str', 'last_name': 'str', 'role': 'str', 'external_data': 'str', 'language': 'UserLanguage', 'sso_identifier': 'str', 'password': 'str', 'location': 'Location'} self.attribute_map = {'email': 'email', 'first_name': 'firstName', 'last_name': 'lastName', 'role': 'role', 'external_data': 'externalData', 'language': 'language', 'sso_identifier': 'ssoIdentifier', 'password': 'password', 'location': 'location'} self._email = email self._first_name = first_name self._last_name = last_name self._role = role self._external_data = external_data self._language = language self._sso_identifier = sso_identifier self._password = password self._location = location<|docstring|>NewUser - a model defined in Swagger :param dict swaggerTypes: The key is attribute name and the value is attribute type. :param dict attributeMap: The key is attribute name and the value is json key in definition.<|endoftext|>
2f62b5ca985ebde03184f62f858aadba6e776fd55bcaa1313e5c1372d2dae106
@property def email(self): '\n Gets the email of this NewUser.\n\n :return: The email of this NewUser.\n :rtype: str\n ' return self._email
Gets the email of this NewUser. :return: The email of this NewUser. :rtype: str
smartrecruiters_python_client/models/new_user.py
email
roksela/smartrecruiters-python-client
5
python
@property def email(self): '\n Gets the email of this NewUser.\n\n :return: The email of this NewUser.\n :rtype: str\n ' return self._email
@property def email(self): '\n Gets the email of this NewUser.\n\n :return: The email of this NewUser.\n :rtype: str\n ' return self._email<|docstring|>Gets the email of this NewUser. :return: The email of this NewUser. :rtype: str<|endoftext|>
95b1a56358b985c557a29bb6ed0fafe1485ad08a0ce12b5a5d0ee4825fc129b3
@email.setter def email(self, email): '\n Sets the email of this NewUser.\n\n :param email: The email of this NewUser.\n :type: str\n ' if (email is None): raise ValueError('Invalid value for `email`, must not be `None`') self._email = email
Sets the email of this NewUser. :param email: The email of this NewUser. :type: str
smartrecruiters_python_client/models/new_user.py
email
roksela/smartrecruiters-python-client
5
python
@email.setter def email(self, email): '\n Sets the email of this NewUser.\n\n :param email: The email of this NewUser.\n :type: str\n ' if (email is None): raise ValueError('Invalid value for `email`, must not be `None`') self._email = email
@email.setter def email(self, email): '\n Sets the email of this NewUser.\n\n :param email: The email of this NewUser.\n :type: str\n ' if (email is None): raise ValueError('Invalid value for `email`, must not be `None`') self._email = email<|docstring|>Sets the email of this NewUser. :param email: The email of this NewUser. :type: str<|endoftext|>
2278a7ba415c78f45b53fa7795c96e9b4527d6ee12821502e5c86634f22c3479
@property def first_name(self): '\n Gets the first_name of this NewUser.\n\n :return: The first_name of this NewUser.\n :rtype: str\n ' return self._first_name
Gets the first_name of this NewUser. :return: The first_name of this NewUser. :rtype: str
smartrecruiters_python_client/models/new_user.py
first_name
roksela/smartrecruiters-python-client
5
python
@property def first_name(self): '\n Gets the first_name of this NewUser.\n\n :return: The first_name of this NewUser.\n :rtype: str\n ' return self._first_name
@property def first_name(self): '\n Gets the first_name of this NewUser.\n\n :return: The first_name of this NewUser.\n :rtype: str\n ' return self._first_name<|docstring|>Gets the first_name of this NewUser. :return: The first_name of this NewUser. :rtype: str<|endoftext|>
c74b0e60faa4b4c9e12f14c46f5021ecfbef3951deb8098569040fcad9111c95
@first_name.setter def first_name(self, first_name): '\n Sets the first_name of this NewUser.\n\n :param first_name: The first_name of this NewUser.\n :type: str\n ' if (first_name is None): raise ValueError('Invalid value for `first_name`, must not be `None`') if ((first_name is not None) and (len(first_name) > 300)): raise ValueError('Invalid value for `first_name`, length must be less than or equal to `300`') if ((first_name is not None) and (len(first_name) < 1)): raise ValueError('Invalid value for `first_name`, length must be greater than or equal to `1`') self._first_name = first_name
Sets the first_name of this NewUser. :param first_name: The first_name of this NewUser. :type: str
smartrecruiters_python_client/models/new_user.py
first_name
roksela/smartrecruiters-python-client
5
python
@first_name.setter def first_name(self, first_name): '\n Sets the first_name of this NewUser.\n\n :param first_name: The first_name of this NewUser.\n :type: str\n ' if (first_name is None): raise ValueError('Invalid value for `first_name`, must not be `None`') if ((first_name is not None) and (len(first_name) > 300)): raise ValueError('Invalid value for `first_name`, length must be less than or equal to `300`') if ((first_name is not None) and (len(first_name) < 1)): raise ValueError('Invalid value for `first_name`, length must be greater than or equal to `1`') self._first_name = first_name
@first_name.setter def first_name(self, first_name): '\n Sets the first_name of this NewUser.\n\n :param first_name: The first_name of this NewUser.\n :type: str\n ' if (first_name is None): raise ValueError('Invalid value for `first_name`, must not be `None`') if ((first_name is not None) and (len(first_name) > 300)): raise ValueError('Invalid value for `first_name`, length must be less than or equal to `300`') if ((first_name is not None) and (len(first_name) < 1)): raise ValueError('Invalid value for `first_name`, length must be greater than or equal to `1`') self._first_name = first_name<|docstring|>Sets the first_name of this NewUser. :param first_name: The first_name of this NewUser. :type: str<|endoftext|>
19552a967b322d9a185311f09fe2723227fb61fd55f44ef8b6740b02e0f9b1bd
@property def last_name(self): '\n Gets the last_name of this NewUser.\n\n :return: The last_name of this NewUser.\n :rtype: str\n ' return self._last_name
Gets the last_name of this NewUser. :return: The last_name of this NewUser. :rtype: str
smartrecruiters_python_client/models/new_user.py
last_name
roksela/smartrecruiters-python-client
5
python
@property def last_name(self): '\n Gets the last_name of this NewUser.\n\n :return: The last_name of this NewUser.\n :rtype: str\n ' return self._last_name
@property def last_name(self): '\n Gets the last_name of this NewUser.\n\n :return: The last_name of this NewUser.\n :rtype: str\n ' return self._last_name<|docstring|>Gets the last_name of this NewUser. :return: The last_name of this NewUser. :rtype: str<|endoftext|>
e909a1e3e49a221bf62537088c3d6b9df0f58e3b5be1c1533bb34959fa07afaa
@last_name.setter def last_name(self, last_name): '\n Sets the last_name of this NewUser.\n\n :param last_name: The last_name of this NewUser.\n :type: str\n ' if (last_name is None): raise ValueError('Invalid value for `last_name`, must not be `None`') if ((last_name is not None) and (len(last_name) > 300)): raise ValueError('Invalid value for `last_name`, length must be less than or equal to `300`') if ((last_name is not None) and (len(last_name) < 1)): raise ValueError('Invalid value for `last_name`, length must be greater than or equal to `1`') self._last_name = last_name
Sets the last_name of this NewUser. :param last_name: The last_name of this NewUser. :type: str
smartrecruiters_python_client/models/new_user.py
last_name
roksela/smartrecruiters-python-client
5
python
@last_name.setter def last_name(self, last_name): '\n Sets the last_name of this NewUser.\n\n :param last_name: The last_name of this NewUser.\n :type: str\n ' if (last_name is None): raise ValueError('Invalid value for `last_name`, must not be `None`') if ((last_name is not None) and (len(last_name) > 300)): raise ValueError('Invalid value for `last_name`, length must be less than or equal to `300`') if ((last_name is not None) and (len(last_name) < 1)): raise ValueError('Invalid value for `last_name`, length must be greater than or equal to `1`') self._last_name = last_name
@last_name.setter def last_name(self, last_name): '\n Sets the last_name of this NewUser.\n\n :param last_name: The last_name of this NewUser.\n :type: str\n ' if (last_name is None): raise ValueError('Invalid value for `last_name`, must not be `None`') if ((last_name is not None) and (len(last_name) > 300)): raise ValueError('Invalid value for `last_name`, length must be less than or equal to `300`') if ((last_name is not None) and (len(last_name) < 1)): raise ValueError('Invalid value for `last_name`, length must be greater than or equal to `1`') self._last_name = last_name<|docstring|>Sets the last_name of this NewUser. :param last_name: The last_name of this NewUser. :type: str<|endoftext|>
2df55632442e1fe318d8c4d7e63edf53fd752e04c2ab7f710c92fd05762e3e20
@property def role(self): '\n Gets the role of this NewUser.\n\n :return: The role of this NewUser.\n :rtype: str\n ' return self._role
Gets the role of this NewUser. :return: The role of this NewUser. :rtype: str
smartrecruiters_python_client/models/new_user.py
role
roksela/smartrecruiters-python-client
5
python
@property def role(self): '\n Gets the role of this NewUser.\n\n :return: The role of this NewUser.\n :rtype: str\n ' return self._role
@property def role(self): '\n Gets the role of this NewUser.\n\n :return: The role of this NewUser.\n :rtype: str\n ' return self._role<|docstring|>Gets the role of this NewUser. :return: The role of this NewUser. :rtype: str<|endoftext|>
b68cb7e236f6084832371eca090397183eebd6dfda0e7377b0091c345f88c5e7
@role.setter def role(self, role): '\n Sets the role of this NewUser.\n\n :param role: The role of this NewUser.\n :type: str\n ' allowed_values = ['EMPLOYEE', 'RESTRICTED', 'STANDARD', 'EXTENDED', 'ADMINISTRATOR'] if (role not in allowed_values): raise ValueError('Invalid value for `role` ({0}), must be one of {1}'.format(role, allowed_values)) self._role = role
Sets the role of this NewUser. :param role: The role of this NewUser. :type: str
smartrecruiters_python_client/models/new_user.py
role
roksela/smartrecruiters-python-client
5
python
@role.setter def role(self, role): '\n Sets the role of this NewUser.\n\n :param role: The role of this NewUser.\n :type: str\n ' allowed_values = ['EMPLOYEE', 'RESTRICTED', 'STANDARD', 'EXTENDED', 'ADMINISTRATOR'] if (role not in allowed_values): raise ValueError('Invalid value for `role` ({0}), must be one of {1}'.format(role, allowed_values)) self._role = role
@role.setter def role(self, role): '\n Sets the role of this NewUser.\n\n :param role: The role of this NewUser.\n :type: str\n ' allowed_values = ['EMPLOYEE', 'RESTRICTED', 'STANDARD', 'EXTENDED', 'ADMINISTRATOR'] if (role not in allowed_values): raise ValueError('Invalid value for `role` ({0}), must be one of {1}'.format(role, allowed_values)) self._role = role<|docstring|>Sets the role of this NewUser. :param role: The role of this NewUser. :type: str<|endoftext|>
9c72ce67a9e41630674a010801752b5e2f987f4b9b1cdb91ab06980d495554ec
@property def external_data(self): '\n Gets the external_data of this NewUser.\n\n :return: The external_data of this NewUser.\n :rtype: str\n ' return self._external_data
Gets the external_data of this NewUser. :return: The external_data of this NewUser. :rtype: str
smartrecruiters_python_client/models/new_user.py
external_data
roksela/smartrecruiters-python-client
5
python
@property def external_data(self): '\n Gets the external_data of this NewUser.\n\n :return: The external_data of this NewUser.\n :rtype: str\n ' return self._external_data
@property def external_data(self): '\n Gets the external_data of this NewUser.\n\n :return: The external_data of this NewUser.\n :rtype: str\n ' return self._external_data<|docstring|>Gets the external_data of this NewUser. :return: The external_data of this NewUser. :rtype: str<|endoftext|>
c046f1b4231101caaebbaae420120077a3e723a06ba0f74b1348738df0c32986
@external_data.setter def external_data(self, external_data): '\n Sets the external_data of this NewUser.\n\n :param external_data: The external_data of this NewUser.\n :type: str\n ' self._external_data = external_data
Sets the external_data of this NewUser. :param external_data: The external_data of this NewUser. :type: str
smartrecruiters_python_client/models/new_user.py
external_data
roksela/smartrecruiters-python-client
5
python
@external_data.setter def external_data(self, external_data): '\n Sets the external_data of this NewUser.\n\n :param external_data: The external_data of this NewUser.\n :type: str\n ' self._external_data = external_data
@external_data.setter def external_data(self, external_data): '\n Sets the external_data of this NewUser.\n\n :param external_data: The external_data of this NewUser.\n :type: str\n ' self._external_data = external_data<|docstring|>Sets the external_data of this NewUser. :param external_data: The external_data of this NewUser. :type: str<|endoftext|>
da26f5af36ba91dfc767c580e84959e1ed0f919b2c4e1ff84d09c801be2209eb
@property def language(self): '\n Gets the language of this NewUser.\n\n :return: The language of this NewUser.\n :rtype: UserLanguage\n ' return self._language
Gets the language of this NewUser. :return: The language of this NewUser. :rtype: UserLanguage
smartrecruiters_python_client/models/new_user.py
language
roksela/smartrecruiters-python-client
5
python
@property def language(self): '\n Gets the language of this NewUser.\n\n :return: The language of this NewUser.\n :rtype: UserLanguage\n ' return self._language
@property def language(self): '\n Gets the language of this NewUser.\n\n :return: The language of this NewUser.\n :rtype: UserLanguage\n ' return self._language<|docstring|>Gets the language of this NewUser. :return: The language of this NewUser. :rtype: UserLanguage<|endoftext|>
8a3e3eed5f5b094ac21670f3229e9045ff8ea72c951b3d0c3a33500657f48bca
@language.setter def language(self, language): '\n Sets the language of this NewUser.\n\n :param language: The language of this NewUser.\n :type: UserLanguage\n ' self._language = language
Sets the language of this NewUser. :param language: The language of this NewUser. :type: UserLanguage
smartrecruiters_python_client/models/new_user.py
language
roksela/smartrecruiters-python-client
5
python
@language.setter def language(self, language): '\n Sets the language of this NewUser.\n\n :param language: The language of this NewUser.\n :type: UserLanguage\n ' self._language = language
@language.setter def language(self, language): '\n Sets the language of this NewUser.\n\n :param language: The language of this NewUser.\n :type: UserLanguage\n ' self._language = language<|docstring|>Sets the language of this NewUser. :param language: The language of this NewUser. :type: UserLanguage<|endoftext|>
ff47bd6edfaaf2270c8f5ea931dd4596fe4c8a37fedf3344c553b52ffff5a75c
@property def sso_identifier(self): '\n Gets the sso_identifier of this NewUser.\n\n :return: The sso_identifier of this NewUser.\n :rtype: str\n ' return self._sso_identifier
Gets the sso_identifier of this NewUser. :return: The sso_identifier of this NewUser. :rtype: str
smartrecruiters_python_client/models/new_user.py
sso_identifier
roksela/smartrecruiters-python-client
5
python
@property def sso_identifier(self): '\n Gets the sso_identifier of this NewUser.\n\n :return: The sso_identifier of this NewUser.\n :rtype: str\n ' return self._sso_identifier
@property def sso_identifier(self): '\n Gets the sso_identifier of this NewUser.\n\n :return: The sso_identifier of this NewUser.\n :rtype: str\n ' return self._sso_identifier<|docstring|>Gets the sso_identifier of this NewUser. :return: The sso_identifier of this NewUser. :rtype: str<|endoftext|>
035c43548144ed986ad1a5db063954b292c7dfc16d27ff0fe0ad979e93240eb0
@sso_identifier.setter def sso_identifier(self, sso_identifier): '\n Sets the sso_identifier of this NewUser.\n\n :param sso_identifier: The sso_identifier of this NewUser.\n :type: str\n ' self._sso_identifier = sso_identifier
Sets the sso_identifier of this NewUser. :param sso_identifier: The sso_identifier of this NewUser. :type: str
smartrecruiters_python_client/models/new_user.py
sso_identifier
roksela/smartrecruiters-python-client
5
python
@sso_identifier.setter def sso_identifier(self, sso_identifier): '\n Sets the sso_identifier of this NewUser.\n\n :param sso_identifier: The sso_identifier of this NewUser.\n :type: str\n ' self._sso_identifier = sso_identifier
@sso_identifier.setter def sso_identifier(self, sso_identifier): '\n Sets the sso_identifier of this NewUser.\n\n :param sso_identifier: The sso_identifier of this NewUser.\n :type: str\n ' self._sso_identifier = sso_identifier<|docstring|>Sets the sso_identifier of this NewUser. :param sso_identifier: The sso_identifier of this NewUser. :type: str<|endoftext|>
69f930f2be344cc86989683df037a1d2db39a3de4bb4273b0ecd4be69a56ae93
@property def password(self): '\n Gets the password of this NewUser.\n\n :return: The password of this NewUser.\n :rtype: str\n ' return self._password
Gets the password of this NewUser. :return: The password of this NewUser. :rtype: str
smartrecruiters_python_client/models/new_user.py
password
roksela/smartrecruiters-python-client
5
python
@property def password(self): '\n Gets the password of this NewUser.\n\n :return: The password of this NewUser.\n :rtype: str\n ' return self._password
@property def password(self): '\n Gets the password of this NewUser.\n\n :return: The password of this NewUser.\n :rtype: str\n ' return self._password<|docstring|>Gets the password of this NewUser. :return: The password of this NewUser. :rtype: str<|endoftext|>
62812eb8504b2aa027bcddb2e59202c9b451c8f55d9ccd5e6b9cf1c0f6d55be9
@password.setter def password(self, password): '\n Sets the password of this NewUser.\n\n :param password: The password of this NewUser.\n :type: str\n ' self._password = password
Sets the password of this NewUser. :param password: The password of this NewUser. :type: str
smartrecruiters_python_client/models/new_user.py
password
roksela/smartrecruiters-python-client
5
python
@password.setter def password(self, password): '\n Sets the password of this NewUser.\n\n :param password: The password of this NewUser.\n :type: str\n ' self._password = password
@password.setter def password(self, password): '\n Sets the password of this NewUser.\n\n :param password: The password of this NewUser.\n :type: str\n ' self._password = password<|docstring|>Sets the password of this NewUser. :param password: The password of this NewUser. :type: str<|endoftext|>
a5f84adc272abc3124c145e64378a8575a2213f2fa43aa26c1c47682ff1c6454
@property def location(self): '\n Gets the location of this NewUser.\n\n :return: The location of this NewUser.\n :rtype: Location\n ' return self._location
Gets the location of this NewUser. :return: The location of this NewUser. :rtype: Location
smartrecruiters_python_client/models/new_user.py
location
roksela/smartrecruiters-python-client
5
python
@property def location(self): '\n Gets the location of this NewUser.\n\n :return: The location of this NewUser.\n :rtype: Location\n ' return self._location
@property def location(self): '\n Gets the location of this NewUser.\n\n :return: The location of this NewUser.\n :rtype: Location\n ' return self._location<|docstring|>Gets the location of this NewUser. :return: The location of this NewUser. :rtype: Location<|endoftext|>
55d777704b2425a9923e3238ebf1dbb8df04c03e438a83b0083c17e0e2b9950b
@location.setter def location(self, location): '\n Sets the location of this NewUser.\n\n :param location: The location of this NewUser.\n :type: Location\n ' self._location = location
Sets the location of this NewUser. :param location: The location of this NewUser. :type: Location
smartrecruiters_python_client/models/new_user.py
location
roksela/smartrecruiters-python-client
5
python
@location.setter def location(self, location): '\n Sets the location of this NewUser.\n\n :param location: The location of this NewUser.\n :type: Location\n ' self._location = location
@location.setter def location(self, location): '\n Sets the location of this NewUser.\n\n :param location: The location of this NewUser.\n :type: Location\n ' self._location = location<|docstring|>Sets the location of this NewUser. :param location: The location of this NewUser. :type: Location<|endoftext|>
f92515cd38effc7eee4069f2288d78a0f0836df932fb36a84e3b4f7e14233415
def to_dict(self): '\n Returns the model properties as a dict\n ' result = {} for (attr, _) in iteritems(self.swagger_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map((lambda x: (x.to_dict() if hasattr(x, 'to_dict') else x)), value)) elif hasattr(value, 'to_dict'): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map((lambda item: ((item[0], item[1].to_dict()) if hasattr(item[1], 'to_dict') else item)), value.items())) else: result[attr] = value return result
Returns the model properties as a dict
smartrecruiters_python_client/models/new_user.py
to_dict
roksela/smartrecruiters-python-client
5
python
def to_dict(self): '\n \n ' result = {} for (attr, _) in iteritems(self.swagger_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map((lambda x: (x.to_dict() if hasattr(x, 'to_dict') else x)), value)) elif hasattr(value, 'to_dict'): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map((lambda item: ((item[0], item[1].to_dict()) if hasattr(item[1], 'to_dict') else item)), value.items())) else: result[attr] = value return result
def to_dict(self): '\n \n ' result = {} for (attr, _) in iteritems(self.swagger_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map((lambda x: (x.to_dict() if hasattr(x, 'to_dict') else x)), value)) elif hasattr(value, 'to_dict'): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map((lambda item: ((item[0], item[1].to_dict()) if hasattr(item[1], 'to_dict') else item)), value.items())) else: result[attr] = value return result<|docstring|>Returns the model properties as a dict<|endoftext|>
c373d87dd29c1e96dce460ab571bff86e58edb298ba83c85d8cc7603a6505de4
def to_str(self): '\n Returns the string representation of the model\n ' return pformat(self.to_dict())
Returns the string representation of the model
smartrecruiters_python_client/models/new_user.py
to_str
roksela/smartrecruiters-python-client
5
python
def to_str(self): '\n \n ' return pformat(self.to_dict())
def to_str(self): '\n \n ' return pformat(self.to_dict())<|docstring|>Returns the string representation of the model<|endoftext|>
1034ff7dd2eef24d21e3c2fa7409b793ab5cbb8cd75a2eb0ab3e62604b26264d
def __repr__(self): '\n For `print` and `pprint`\n ' return self.to_str()
For `print` and `pprint`
smartrecruiters_python_client/models/new_user.py
__repr__
roksela/smartrecruiters-python-client
5
python
def __repr__(self): '\n \n ' return self.to_str()
def __repr__(self): '\n \n ' return self.to_str()<|docstring|>For `print` and `pprint`<|endoftext|>
e769ce4da55e553c79c8eaaf9de92dc37a3bc322cb71b65176e34708fb0e08fe
def __eq__(self, other): '\n Returns true if both objects are equal\n ' if (not isinstance(other, NewUser)): return False return (self.__dict__ == other.__dict__)
Returns true if both objects are equal
smartrecruiters_python_client/models/new_user.py
__eq__
roksela/smartrecruiters-python-client
5
python
def __eq__(self, other): '\n \n ' if (not isinstance(other, NewUser)): return False return (self.__dict__ == other.__dict__)
def __eq__(self, other): '\n \n ' if (not isinstance(other, NewUser)): return False return (self.__dict__ == other.__dict__)<|docstring|>Returns true if both objects are equal<|endoftext|>
e5050f8e1402e3a4c90d6c6e229c4c9e2b8ec61e0be457915ea9d976f7e6b0b4
def __ne__(self, other): '\n Returns true if both objects are not equal\n ' return (not (self == other))
Returns true if both objects are not equal
smartrecruiters_python_client/models/new_user.py
__ne__
roksela/smartrecruiters-python-client
5
python
def __ne__(self, other): '\n \n ' return (not (self == other))
def __ne__(self, other): '\n \n ' return (not (self == other))<|docstring|>Returns true if both objects are not equal<|endoftext|>
b6b8ac86a44b4adbd31f26af7f2e507daa5a400f57618bdc2d107167bd4f302f
def __init__(self, now): 'Creates and returns a new reconnect FSM with default settings. The\n FSM is initially disabled. The caller will likely want to call\n self.enable() and self.set_name() on the returned object.' self.name = 'void' self.min_backoff = 1000 self.max_backoff = 8000 self.probe_interval = 5000 self.passive = False self.info_level = vlog.info self.state = Reconnect.Void self.state_entered = now self.backoff = 0 self.last_activity = now self.last_connected = None self.last_disconnected = None self.last_receive_attempt = now self.max_tries = None self.backoff_free_tries = 0 self.creation_time = now self.n_attempted_connections = 0 self.n_successful_connections = 0 self.total_connected_duration = 0 self.seqno = 0
Creates and returns a new reconnect FSM with default settings. The FSM is initially disabled. The caller will likely want to call self.enable() and self.set_name() on the returned object.
python/ovs/reconnect.py
__init__
check-spelling/ovs
2,919
python
def __init__(self, now): 'Creates and returns a new reconnect FSM with default settings. The\n FSM is initially disabled. The caller will likely want to call\n self.enable() and self.set_name() on the returned object.' self.name = 'void' self.min_backoff = 1000 self.max_backoff = 8000 self.probe_interval = 5000 self.passive = False self.info_level = vlog.info self.state = Reconnect.Void self.state_entered = now self.backoff = 0 self.last_activity = now self.last_connected = None self.last_disconnected = None self.last_receive_attempt = now self.max_tries = None self.backoff_free_tries = 0 self.creation_time = now self.n_attempted_connections = 0 self.n_successful_connections = 0 self.total_connected_duration = 0 self.seqno = 0
def __init__(self, now): 'Creates and returns a new reconnect FSM with default settings. The\n FSM is initially disabled. The caller will likely want to call\n self.enable() and self.set_name() on the returned object.' self.name = 'void' self.min_backoff = 1000 self.max_backoff = 8000 self.probe_interval = 5000 self.passive = False self.info_level = vlog.info self.state = Reconnect.Void self.state_entered = now self.backoff = 0 self.last_activity = now self.last_connected = None self.last_disconnected = None self.last_receive_attempt = now self.max_tries = None self.backoff_free_tries = 0 self.creation_time = now self.n_attempted_connections = 0 self.n_successful_connections = 0 self.total_connected_duration = 0 self.seqno = 0<|docstring|>Creates and returns a new reconnect FSM with default settings. The FSM is initially disabled. The caller will likely want to call self.enable() and self.set_name() on the returned object.<|endoftext|>
6c294229310620c36762a4801b2184758953211d3a5c9d64eee20fbce72192e8
def set_quiet(self, quiet): "If 'quiet' is true, this object will log informational messages at\n debug level, by default keeping them out of log files. This is\n appropriate if the connection is one that is expected to be\n short-lived, so that the log messages are merely distracting.\n\n If 'quiet' is false, this object logs informational messages at info\n level. This is the default.\n\n This setting has no effect on the log level of debugging, warning, or\n error messages." if quiet: self.info_level = vlog.dbg else: self.info_level = vlog.info
If 'quiet' is true, this object will log informational messages at debug level, by default keeping them out of log files. This is appropriate if the connection is one that is expected to be short-lived, so that the log messages are merely distracting. If 'quiet' is false, this object logs informational messages at info level. This is the default. This setting has no effect on the log level of debugging, warning, or error messages.
python/ovs/reconnect.py
set_quiet
check-spelling/ovs
2,919
python
def set_quiet(self, quiet): "If 'quiet' is true, this object will log informational messages at\n debug level, by default keeping them out of log files. This is\n appropriate if the connection is one that is expected to be\n short-lived, so that the log messages are merely distracting.\n\n If 'quiet' is false, this object logs informational messages at info\n level. This is the default.\n\n This setting has no effect on the log level of debugging, warning, or\n error messages." if quiet: self.info_level = vlog.dbg else: self.info_level = vlog.info
def set_quiet(self, quiet): "If 'quiet' is true, this object will log informational messages at\n debug level, by default keeping them out of log files. This is\n appropriate if the connection is one that is expected to be\n short-lived, so that the log messages are merely distracting.\n\n If 'quiet' is false, this object logs informational messages at info\n level. This is the default.\n\n This setting has no effect on the log level of debugging, warning, or\n error messages." if quiet: self.info_level = vlog.dbg else: self.info_level = vlog.info<|docstring|>If 'quiet' is true, this object will log informational messages at debug level, by default keeping them out of log files. This is appropriate if the connection is one that is expected to be short-lived, so that the log messages are merely distracting. If 'quiet' is false, this object logs informational messages at info level. This is the default. This setting has no effect on the log level of debugging, warning, or error messages.<|endoftext|>
0dbfe6f61705afa33e7e3f724835119141e4058d9cca41dfe293c81a547032db
def set_name(self, name): 'Sets this object\'s name to \'name\'. If \'name\' is None, then "void"\n is used instead.\n\n The name is used in log messages.' if (name is None): self.name = 'void' else: self.name = name
Sets this object's name to 'name'. If 'name' is None, then "void" is used instead. The name is used in log messages.
python/ovs/reconnect.py
set_name
check-spelling/ovs
2,919
python
def set_name(self, name): 'Sets this object\'s name to \'name\'. If \'name\' is None, then "void"\n is used instead.\n\n The name is used in log messages.' if (name is None): self.name = 'void' else: self.name = name
def set_name(self, name): 'Sets this object\'s name to \'name\'. If \'name\' is None, then "void"\n is used instead.\n\n The name is used in log messages.' if (name is None): self.name = 'void' else: self.name = name<|docstring|>Sets this object's name to 'name'. If 'name' is None, then "void" is used instead. The name is used in log messages.<|endoftext|>
63ee64b23139ffd8ade99838f796beeba963f47f6e00cca230d8d09f6bb98e8c
def get_min_backoff(self): 'Return the minimum number of milliseconds to back off between\n consecutive connection attempts. The default is 1000 ms.' return self.min_backoff
Return the minimum number of milliseconds to back off between consecutive connection attempts. The default is 1000 ms.
python/ovs/reconnect.py
get_min_backoff
check-spelling/ovs
2,919
python
def get_min_backoff(self): 'Return the minimum number of milliseconds to back off between\n consecutive connection attempts. The default is 1000 ms.' return self.min_backoff
def get_min_backoff(self): 'Return the minimum number of milliseconds to back off between\n consecutive connection attempts. The default is 1000 ms.' return self.min_backoff<|docstring|>Return the minimum number of milliseconds to back off between consecutive connection attempts. The default is 1000 ms.<|endoftext|>
869d61cfd224b4203976522dc5720365c8a2e5962a19b9bea5142308954f6638
def get_max_backoff(self): 'Return the maximum number of milliseconds to back off between\n consecutive connection attempts. The default is 8000 ms.' return self.max_backoff
Return the maximum number of milliseconds to back off between consecutive connection attempts. The default is 8000 ms.
python/ovs/reconnect.py
get_max_backoff
check-spelling/ovs
2,919
python
def get_max_backoff(self): 'Return the maximum number of milliseconds to back off between\n consecutive connection attempts. The default is 8000 ms.' return self.max_backoff
def get_max_backoff(self): 'Return the maximum number of milliseconds to back off between\n consecutive connection attempts. The default is 8000 ms.' return self.max_backoff<|docstring|>Return the maximum number of milliseconds to back off between consecutive connection attempts. The default is 8000 ms.<|endoftext|>
0bdde25daf790d2fad6a8bf4f3d44982db9956af28b3b066c7c1fdc2b1dbc506
def get_probe_interval(self): 'Returns the "probe interval" in milliseconds. If this is zero, it\n disables the connection keepalive feature. If it is nonzero, then if\n the interval passes while the FSM is connected and without\n self.activity() being called, self.run() returns ovs.reconnect.PROBE.\n If the interval passes again without self.activity() being called,\n self.run() returns ovs.reconnect.DISCONNECT.' return self.probe_interval
Returns the "probe interval" in milliseconds. If this is zero, it disables the connection keepalive feature. If it is nonzero, then if the interval passes while the FSM is connected and without self.activity() being called, self.run() returns ovs.reconnect.PROBE. If the interval passes again without self.activity() being called, self.run() returns ovs.reconnect.DISCONNECT.
python/ovs/reconnect.py
get_probe_interval
check-spelling/ovs
2,919
python
def get_probe_interval(self): 'Returns the "probe interval" in milliseconds. If this is zero, it\n disables the connection keepalive feature. If it is nonzero, then if\n the interval passes while the FSM is connected and without\n self.activity() being called, self.run() returns ovs.reconnect.PROBE.\n If the interval passes again without self.activity() being called,\n self.run() returns ovs.reconnect.DISCONNECT.' return self.probe_interval
def get_probe_interval(self): 'Returns the "probe interval" in milliseconds. If this is zero, it\n disables the connection keepalive feature. If it is nonzero, then if\n the interval passes while the FSM is connected and without\n self.activity() being called, self.run() returns ovs.reconnect.PROBE.\n If the interval passes again without self.activity() being called,\n self.run() returns ovs.reconnect.DISCONNECT.' return self.probe_interval<|docstring|>Returns the "probe interval" in milliseconds. If this is zero, it disables the connection keepalive feature. If it is nonzero, then if the interval passes while the FSM is connected and without self.activity() being called, self.run() returns ovs.reconnect.PROBE. If the interval passes again without self.activity() being called, self.run() returns ovs.reconnect.DISCONNECT.<|endoftext|>
24ce377871076468d684225af52d0f379aa9fbf9abba576282153f68e2778937
def set_max_tries(self, max_tries): "Limits the maximum number of times that this object will ask the\n client to try to reconnect to 'max_tries'. None (the default) means an\n unlimited number of tries.\n\n After the number of tries has expired, the FSM will disable itself\n instead of backing off and retrying." self.max_tries = max_tries
Limits the maximum number of times that this object will ask the client to try to reconnect to 'max_tries'. None (the default) means an unlimited number of tries. After the number of tries has expired, the FSM will disable itself instead of backing off and retrying.
python/ovs/reconnect.py
set_max_tries
check-spelling/ovs
2,919
python
def set_max_tries(self, max_tries): "Limits the maximum number of times that this object will ask the\n client to try to reconnect to 'max_tries'. None (the default) means an\n unlimited number of tries.\n\n After the number of tries has expired, the FSM will disable itself\n instead of backing off and retrying." self.max_tries = max_tries
def set_max_tries(self, max_tries): "Limits the maximum number of times that this object will ask the\n client to try to reconnect to 'max_tries'. None (the default) means an\n unlimited number of tries.\n\n After the number of tries has expired, the FSM will disable itself\n instead of backing off and retrying." self.max_tries = max_tries<|docstring|>Limits the maximum number of times that this object will ask the client to try to reconnect to 'max_tries'. None (the default) means an unlimited number of tries. After the number of tries has expired, the FSM will disable itself instead of backing off and retrying.<|endoftext|>
ccbf93e4bcc75a76e561aa6af143d19cf496d7c143207b9624087d841257bedc
def get_max_tries(self): 'Returns the current remaining number of connection attempts,\n None if the number is unlimited.' return self.max_tries
Returns the current remaining number of connection attempts, None if the number is unlimited.
python/ovs/reconnect.py
get_max_tries
check-spelling/ovs
2,919
python
def get_max_tries(self): 'Returns the current remaining number of connection attempts,\n None if the number is unlimited.' return self.max_tries
def get_max_tries(self): 'Returns the current remaining number of connection attempts,\n None if the number is unlimited.' return self.max_tries<|docstring|>Returns the current remaining number of connection attempts, None if the number is unlimited.<|endoftext|>
4e89242ce720d09f261b7dac53ea47b8ac894b8859d252d59f992179a5de7204
def set_backoff(self, min_backoff, max_backoff): "Configures the backoff parameters for this FSM. 'min_backoff' is\n the minimum number of milliseconds, and 'max_backoff' is the maximum,\n between connection attempts.\n\n 'min_backoff' must be at least 1000, and 'max_backoff' must be greater\n than or equal to 'min_backoff'." self.min_backoff = max(min_backoff, 1000) if self.max_backoff: self.max_backoff = max(max_backoff, 1000) else: self.max_backoff = 8000 if (self.min_backoff > self.max_backoff): self.max_backoff = self.min_backoff if ((self.state == Reconnect.Backoff) and (self.backoff > self.max_backoff)): self.backoff = self.max_backoff
Configures the backoff parameters for this FSM. 'min_backoff' is the minimum number of milliseconds, and 'max_backoff' is the maximum, between connection attempts. 'min_backoff' must be at least 1000, and 'max_backoff' must be greater than or equal to 'min_backoff'.
python/ovs/reconnect.py
set_backoff
check-spelling/ovs
2,919
python
def set_backoff(self, min_backoff, max_backoff): "Configures the backoff parameters for this FSM. 'min_backoff' is\n the minimum number of milliseconds, and 'max_backoff' is the maximum,\n between connection attempts.\n\n 'min_backoff' must be at least 1000, and 'max_backoff' must be greater\n than or equal to 'min_backoff'." self.min_backoff = max(min_backoff, 1000) if self.max_backoff: self.max_backoff = max(max_backoff, 1000) else: self.max_backoff = 8000 if (self.min_backoff > self.max_backoff): self.max_backoff = self.min_backoff if ((self.state == Reconnect.Backoff) and (self.backoff > self.max_backoff)): self.backoff = self.max_backoff
def set_backoff(self, min_backoff, max_backoff): "Configures the backoff parameters for this FSM. 'min_backoff' is\n the minimum number of milliseconds, and 'max_backoff' is the maximum,\n between connection attempts.\n\n 'min_backoff' must be at least 1000, and 'max_backoff' must be greater\n than or equal to 'min_backoff'." self.min_backoff = max(min_backoff, 1000) if self.max_backoff: self.max_backoff = max(max_backoff, 1000) else: self.max_backoff = 8000 if (self.min_backoff > self.max_backoff): self.max_backoff = self.min_backoff if ((self.state == Reconnect.Backoff) and (self.backoff > self.max_backoff)): self.backoff = self.max_backoff<|docstring|>Configures the backoff parameters for this FSM. 'min_backoff' is the minimum number of milliseconds, and 'max_backoff' is the maximum, between connection attempts. 'min_backoff' must be at least 1000, and 'max_backoff' must be greater than or equal to 'min_backoff'.<|endoftext|>
d2cec5aeeaec1e968ae47b350ad82536cefe234ad631ba64e7f8d0994b7d7519
def set_backoff_free_tries(self, backoff_free_tries): "Sets the number of connection attempts that will be made without\n backoff to 'backoff_free_tries'. Values 0 and 1 both\n represent a single attempt." self.backoff_free_tries = backoff_free_tries
Sets the number of connection attempts that will be made without backoff to 'backoff_free_tries'. Values 0 and 1 both represent a single attempt.
python/ovs/reconnect.py
set_backoff_free_tries
check-spelling/ovs
2,919
python
def set_backoff_free_tries(self, backoff_free_tries): "Sets the number of connection attempts that will be made without\n backoff to 'backoff_free_tries'. Values 0 and 1 both\n represent a single attempt." self.backoff_free_tries = backoff_free_tries
def set_backoff_free_tries(self, backoff_free_tries): "Sets the number of connection attempts that will be made without\n backoff to 'backoff_free_tries'. Values 0 and 1 both\n represent a single attempt." self.backoff_free_tries = backoff_free_tries<|docstring|>Sets the number of connection attempts that will be made without backoff to 'backoff_free_tries'. Values 0 and 1 both represent a single attempt.<|endoftext|>
cb362ce35baf75f4220ee2a6fdd8e75b35040ce5fbc1ea5456516cb66e4e1d76
def set_probe_interval(self, probe_interval): 'Sets the "probe interval" to \'probe_interval\', in milliseconds. If\n this is zero, it disables the connection keepalive feature. If it is\n nonzero, then if the interval passes while this FSM is connected and\n without self.activity() being called, self.run() returns\n ovs.reconnect.PROBE. If the interval passes again without\n self.activity() being called, self.run() returns\n ovs.reconnect.DISCONNECT.\n\n If \'probe_interval\' is nonzero, then it will be forced to a value of at\n least 1000 ms.' if probe_interval: self.probe_interval = max(1000, probe_interval) else: self.probe_interval = 0
Sets the "probe interval" to 'probe_interval', in milliseconds. If this is zero, it disables the connection keepalive feature. If it is nonzero, then if the interval passes while this FSM is connected and without self.activity() being called, self.run() returns ovs.reconnect.PROBE. If the interval passes again without self.activity() being called, self.run() returns ovs.reconnect.DISCONNECT. If 'probe_interval' is nonzero, then it will be forced to a value of at least 1000 ms.
python/ovs/reconnect.py
set_probe_interval
check-spelling/ovs
2,919
python
def set_probe_interval(self, probe_interval): 'Sets the "probe interval" to \'probe_interval\', in milliseconds. If\n this is zero, it disables the connection keepalive feature. If it is\n nonzero, then if the interval passes while this FSM is connected and\n without self.activity() being called, self.run() returns\n ovs.reconnect.PROBE. If the interval passes again without\n self.activity() being called, self.run() returns\n ovs.reconnect.DISCONNECT.\n\n If \'probe_interval\' is nonzero, then it will be forced to a value of at\n least 1000 ms.' if probe_interval: self.probe_interval = max(1000, probe_interval) else: self.probe_interval = 0
def set_probe_interval(self, probe_interval): 'Sets the "probe interval" to \'probe_interval\', in milliseconds. If\n this is zero, it disables the connection keepalive feature. If it is\n nonzero, then if the interval passes while this FSM is connected and\n without self.activity() being called, self.run() returns\n ovs.reconnect.PROBE. If the interval passes again without\n self.activity() being called, self.run() returns\n ovs.reconnect.DISCONNECT.\n\n If \'probe_interval\' is nonzero, then it will be forced to a value of at\n least 1000 ms.' if probe_interval: self.probe_interval = max(1000, probe_interval) else: self.probe_interval = 0<|docstring|>Sets the "probe interval" to 'probe_interval', in milliseconds. If this is zero, it disables the connection keepalive feature. If it is nonzero, then if the interval passes while this FSM is connected and without self.activity() being called, self.run() returns ovs.reconnect.PROBE. If the interval passes again without self.activity() being called, self.run() returns ovs.reconnect.DISCONNECT. If 'probe_interval' is nonzero, then it will be forced to a value of at least 1000 ms.<|endoftext|>
2c4c65c2b129d19d7839649f56c9351883deee0915efae6bac2fbcc54fa9f675
def is_passive(self): "Returns true if 'fsm' is in passive mode, false if 'fsm' is in\n active mode (the default)." return self.passive
Returns true if 'fsm' is in passive mode, false if 'fsm' is in active mode (the default).
python/ovs/reconnect.py
is_passive
check-spelling/ovs
2,919
python
def is_passive(self): "Returns true if 'fsm' is in passive mode, false if 'fsm' is in\n active mode (the default)." return self.passive
def is_passive(self): "Returns true if 'fsm' is in passive mode, false if 'fsm' is in\n active mode (the default)." return self.passive<|docstring|>Returns true if 'fsm' is in passive mode, false if 'fsm' is in active mode (the default).<|endoftext|>
65fd3d57bf7f031332d6f682914e3433a11c58d6e43874bbc2edde2fe30a43d9
def set_passive(self, passive, now): 'Configures this FSM for active or passive mode. In active mode (the\n default), the FSM is attempting to connect to a remote host. In\n passive mode, the FSM is listening for connections from a remote\n host.' if (self.passive != passive): self.passive = passive if ((passive and (self.state in (Reconnect.ConnectInProgress, Reconnect.Reconnect))) or ((not passive) and (self.state == Reconnect.Listening) and self.__may_retry())): self._transition(now, Reconnect.Backoff) self.backoff = 0
Configures this FSM for active or passive mode. In active mode (the default), the FSM is attempting to connect to a remote host. In passive mode, the FSM is listening for connections from a remote host.
python/ovs/reconnect.py
set_passive
check-spelling/ovs
2,919
python
def set_passive(self, passive, now): 'Configures this FSM for active or passive mode. In active mode (the\n default), the FSM is attempting to connect to a remote host. In\n passive mode, the FSM is listening for connections from a remote\n host.' if (self.passive != passive): self.passive = passive if ((passive and (self.state in (Reconnect.ConnectInProgress, Reconnect.Reconnect))) or ((not passive) and (self.state == Reconnect.Listening) and self.__may_retry())): self._transition(now, Reconnect.Backoff) self.backoff = 0
def set_passive(self, passive, now): 'Configures this FSM for active or passive mode. In active mode (the\n default), the FSM is attempting to connect to a remote host. In\n passive mode, the FSM is listening for connections from a remote\n host.' if (self.passive != passive): self.passive = passive if ((passive and (self.state in (Reconnect.ConnectInProgress, Reconnect.Reconnect))) or ((not passive) and (self.state == Reconnect.Listening) and self.__may_retry())): self._transition(now, Reconnect.Backoff) self.backoff = 0<|docstring|>Configures this FSM for active or passive mode. In active mode (the default), the FSM is attempting to connect to a remote host. In passive mode, the FSM is listening for connections from a remote host.<|endoftext|>
609f49306de41d296ecb57d182e6b77358fb069f61d02d248d16be9a7b190878
def is_enabled(self): 'Returns true if this FSM has been enabled with self.enable().\n Calling another function that indicates a change in connection state,\n such as self.disconnected() or self.force_reconnect(), will also enable\n a reconnect FSM.' return (self.state != Reconnect.Void)
Returns true if this FSM has been enabled with self.enable(). Calling another function that indicates a change in connection state, such as self.disconnected() or self.force_reconnect(), will also enable a reconnect FSM.
python/ovs/reconnect.py
is_enabled
check-spelling/ovs
2,919
python
def is_enabled(self): 'Returns true if this FSM has been enabled with self.enable().\n Calling another function that indicates a change in connection state,\n such as self.disconnected() or self.force_reconnect(), will also enable\n a reconnect FSM.' return (self.state != Reconnect.Void)
def is_enabled(self): 'Returns true if this FSM has been enabled with self.enable().\n Calling another function that indicates a change in connection state,\n such as self.disconnected() or self.force_reconnect(), will also enable\n a reconnect FSM.' return (self.state != Reconnect.Void)<|docstring|>Returns true if this FSM has been enabled with self.enable(). Calling another function that indicates a change in connection state, such as self.disconnected() or self.force_reconnect(), will also enable a reconnect FSM.<|endoftext|>
3334ddb1531bb21f3bc4197dee842825bf54988c58c97a00d3024b2a38fa7e67
def enable(self, now): "If this FSM is disabled (the default for newly created FSMs),\n enables it, so that the next call to reconnect_run() for 'fsm' will\n return ovs.reconnect.CONNECT.\n\n If this FSM is not disabled, this function has no effect." if ((self.state == Reconnect.Void) and self.__may_retry()): self._transition(now, Reconnect.Backoff) self.backoff = 0
If this FSM is disabled (the default for newly created FSMs), enables it, so that the next call to reconnect_run() for 'fsm' will return ovs.reconnect.CONNECT. If this FSM is not disabled, this function has no effect.
python/ovs/reconnect.py
enable
check-spelling/ovs
2,919
python
def enable(self, now): "If this FSM is disabled (the default for newly created FSMs),\n enables it, so that the next call to reconnect_run() for 'fsm' will\n return ovs.reconnect.CONNECT.\n\n If this FSM is not disabled, this function has no effect." if ((self.state == Reconnect.Void) and self.__may_retry()): self._transition(now, Reconnect.Backoff) self.backoff = 0
def enable(self, now): "If this FSM is disabled (the default for newly created FSMs),\n enables it, so that the next call to reconnect_run() for 'fsm' will\n return ovs.reconnect.CONNECT.\n\n If this FSM is not disabled, this function has no effect." if ((self.state == Reconnect.Void) and self.__may_retry()): self._transition(now, Reconnect.Backoff) self.backoff = 0<|docstring|>If this FSM is disabled (the default for newly created FSMs), enables it, so that the next call to reconnect_run() for 'fsm' will return ovs.reconnect.CONNECT. If this FSM is not disabled, this function has no effect.<|endoftext|>
d183aec52c119f96e709144563e999d722e3420af5ac35f3406f9511d4684369
def disable(self, now): "Disables this FSM. Until 'fsm' is enabled again, self.run() will\n always return 0." if (self.state != Reconnect.Void): self._transition(now, Reconnect.Void)
Disables this FSM. Until 'fsm' is enabled again, self.run() will always return 0.
python/ovs/reconnect.py
disable
check-spelling/ovs
2,919
python
def disable(self, now): "Disables this FSM. Until 'fsm' is enabled again, self.run() will\n always return 0." if (self.state != Reconnect.Void): self._transition(now, Reconnect.Void)
def disable(self, now): "Disables this FSM. Until 'fsm' is enabled again, self.run() will\n always return 0." if (self.state != Reconnect.Void): self._transition(now, Reconnect.Void)<|docstring|>Disables this FSM. Until 'fsm' is enabled again, self.run() will always return 0.<|endoftext|>
32966660e80184022e5fb2b4fabf9f55ebf4462d300b28c6c324a632f7cae697
def force_reconnect(self, now): 'If this FSM is enabled and currently connected (or attempting to\n connect), forces self.run() to return ovs.reconnect.DISCONNECT the next\n time it is called, which should cause the client to drop the connection\n (or attempt), back off, and then reconnect.' if (self.state in (Reconnect.ConnectInProgress, Reconnect.Active, Reconnect.Idle)): self._transition(now, Reconnect.Reconnect)
If this FSM is enabled and currently connected (or attempting to connect), forces self.run() to return ovs.reconnect.DISCONNECT the next time it is called, which should cause the client to drop the connection (or attempt), back off, and then reconnect.
python/ovs/reconnect.py
force_reconnect
check-spelling/ovs
2,919
python
def force_reconnect(self, now): 'If this FSM is enabled and currently connected (or attempting to\n connect), forces self.run() to return ovs.reconnect.DISCONNECT the next\n time it is called, which should cause the client to drop the connection\n (or attempt), back off, and then reconnect.' if (self.state in (Reconnect.ConnectInProgress, Reconnect.Active, Reconnect.Idle)): self._transition(now, Reconnect.Reconnect)
def force_reconnect(self, now): 'If this FSM is enabled and currently connected (or attempting to\n connect), forces self.run() to return ovs.reconnect.DISCONNECT the next\n time it is called, which should cause the client to drop the connection\n (or attempt), back off, and then reconnect.' if (self.state in (Reconnect.ConnectInProgress, Reconnect.Active, Reconnect.Idle)): self._transition(now, Reconnect.Reconnect)<|docstring|>If this FSM is enabled and currently connected (or attempting to connect), forces self.run() to return ovs.reconnect.DISCONNECT the next time it is called, which should cause the client to drop the connection (or attempt), back off, and then reconnect.<|endoftext|>
c71a881ea799c17622587ca7d4e7a10d44f65cbc886bff5796191bf49e0abff4
def disconnected(self, now, error): "Tell this FSM that the connection dropped or that a connection\n attempt failed. 'error' specifies the reason: a positive value\n represents an errno value, EOF indicates that the connection was closed\n by the peer (e.g. read() returned 0), and 0 indicates no specific\n error.\n\n The FSM will back off, then reconnect." if (self.state not in (Reconnect.Backoff, Reconnect.Void)): if (self.state in (Reconnect.Active, Reconnect.Idle)): if (error > 0): vlog.warn(('%s: connection dropped (%s)' % (self.name, os.strerror(error)))) elif (error == EOF): self.info_level(('%s: connection closed by peer' % self.name)) else: self.info_level(('%s: connection dropped' % self.name)) elif (self.state == Reconnect.Listening): if (error > 0): vlog.warn(('%s: error listening for connections (%s)' % (self.name, os.strerror(error)))) else: self.info_level(('%s: error listening for connections' % self.name)) elif (self.state == Reconnect.Reconnect): self.info_level(('%s: connection closed by client' % self.name)) elif (self.backoff < self.max_backoff): if self.passive: type_ = 'listen' else: type_ = 'connection' if (error > 0): vlog.warn(('%s: %s attempt failed (%s)' % (self.name, type_, os.strerror(error)))) else: self.info_level(('%s: %s attempt timed out' % (self.name, type_))) if (self.state in (Reconnect.Active, Reconnect.Idle)): self.last_disconnected = now if (not self.__may_retry()): self._transition(now, Reconnect.Void) return if (self.backoff_free_tries > 1): self.backoff_free_tries -= 1 self.backoff = 0 elif ((self.state in (Reconnect.Active, Reconnect.Idle)) and (((self.last_activity - self.last_connected) >= self.backoff) or self.passive)): if self.passive: self.backoff = 0 else: self.backoff = self.min_backoff elif (self.backoff < self.min_backoff): self.backoff = self.min_backoff elif (self.backoff < (self.max_backoff / 2)): self.backoff *= 2 if self.passive: action = 'trying to listen again' else: action = 'reconnect' self.info_level(('%s: waiting %.3g seconds before %s' % (self.name, (self.backoff / 1000.0), action))) else: if (self.backoff < self.max_backoff): if self.passive: action = 'try to listen' else: action = 'reconnect' self.info_level(('%s: continuing to %s in the background but suppressing further logging' % (self.name, action))) self.backoff = self.max_backoff self._transition(now, Reconnect.Backoff)
Tell this FSM that the connection dropped or that a connection attempt failed. 'error' specifies the reason: a positive value represents an errno value, EOF indicates that the connection was closed by the peer (e.g. read() returned 0), and 0 indicates no specific error. The FSM will back off, then reconnect.
python/ovs/reconnect.py
disconnected
check-spelling/ovs
2,919
python
def disconnected(self, now, error): "Tell this FSM that the connection dropped or that a connection\n attempt failed. 'error' specifies the reason: a positive value\n represents an errno value, EOF indicates that the connection was closed\n by the peer (e.g. read() returned 0), and 0 indicates no specific\n error.\n\n The FSM will back off, then reconnect." if (self.state not in (Reconnect.Backoff, Reconnect.Void)): if (self.state in (Reconnect.Active, Reconnect.Idle)): if (error > 0): vlog.warn(('%s: connection dropped (%s)' % (self.name, os.strerror(error)))) elif (error == EOF): self.info_level(('%s: connection closed by peer' % self.name)) else: self.info_level(('%s: connection dropped' % self.name)) elif (self.state == Reconnect.Listening): if (error > 0): vlog.warn(('%s: error listening for connections (%s)' % (self.name, os.strerror(error)))) else: self.info_level(('%s: error listening for connections' % self.name)) elif (self.state == Reconnect.Reconnect): self.info_level(('%s: connection closed by client' % self.name)) elif (self.backoff < self.max_backoff): if self.passive: type_ = 'listen' else: type_ = 'connection' if (error > 0): vlog.warn(('%s: %s attempt failed (%s)' % (self.name, type_, os.strerror(error)))) else: self.info_level(('%s: %s attempt timed out' % (self.name, type_))) if (self.state in (Reconnect.Active, Reconnect.Idle)): self.last_disconnected = now if (not self.__may_retry()): self._transition(now, Reconnect.Void) return if (self.backoff_free_tries > 1): self.backoff_free_tries -= 1 self.backoff = 0 elif ((self.state in (Reconnect.Active, Reconnect.Idle)) and (((self.last_activity - self.last_connected) >= self.backoff) or self.passive)): if self.passive: self.backoff = 0 else: self.backoff = self.min_backoff elif (self.backoff < self.min_backoff): self.backoff = self.min_backoff elif (self.backoff < (self.max_backoff / 2)): self.backoff *= 2 if self.passive: action = 'trying to listen again' else: action = 'reconnect' self.info_level(('%s: waiting %.3g seconds before %s' % (self.name, (self.backoff / 1000.0), action))) else: if (self.backoff < self.max_backoff): if self.passive: action = 'try to listen' else: action = 'reconnect' self.info_level(('%s: continuing to %s in the background but suppressing further logging' % (self.name, action))) self.backoff = self.max_backoff self._transition(now, Reconnect.Backoff)
def disconnected(self, now, error): "Tell this FSM that the connection dropped or that a connection\n attempt failed. 'error' specifies the reason: a positive value\n represents an errno value, EOF indicates that the connection was closed\n by the peer (e.g. read() returned 0), and 0 indicates no specific\n error.\n\n The FSM will back off, then reconnect." if (self.state not in (Reconnect.Backoff, Reconnect.Void)): if (self.state in (Reconnect.Active, Reconnect.Idle)): if (error > 0): vlog.warn(('%s: connection dropped (%s)' % (self.name, os.strerror(error)))) elif (error == EOF): self.info_level(('%s: connection closed by peer' % self.name)) else: self.info_level(('%s: connection dropped' % self.name)) elif (self.state == Reconnect.Listening): if (error > 0): vlog.warn(('%s: error listening for connections (%s)' % (self.name, os.strerror(error)))) else: self.info_level(('%s: error listening for connections' % self.name)) elif (self.state == Reconnect.Reconnect): self.info_level(('%s: connection closed by client' % self.name)) elif (self.backoff < self.max_backoff): if self.passive: type_ = 'listen' else: type_ = 'connection' if (error > 0): vlog.warn(('%s: %s attempt failed (%s)' % (self.name, type_, os.strerror(error)))) else: self.info_level(('%s: %s attempt timed out' % (self.name, type_))) if (self.state in (Reconnect.Active, Reconnect.Idle)): self.last_disconnected = now if (not self.__may_retry()): self._transition(now, Reconnect.Void) return if (self.backoff_free_tries > 1): self.backoff_free_tries -= 1 self.backoff = 0 elif ((self.state in (Reconnect.Active, Reconnect.Idle)) and (((self.last_activity - self.last_connected) >= self.backoff) or self.passive)): if self.passive: self.backoff = 0 else: self.backoff = self.min_backoff elif (self.backoff < self.min_backoff): self.backoff = self.min_backoff elif (self.backoff < (self.max_backoff / 2)): self.backoff *= 2 if self.passive: action = 'trying to listen again' else: action = 'reconnect' self.info_level(('%s: waiting %.3g seconds before %s' % (self.name, (self.backoff / 1000.0), action))) else: if (self.backoff < self.max_backoff): if self.passive: action = 'try to listen' else: action = 'reconnect' self.info_level(('%s: continuing to %s in the background but suppressing further logging' % (self.name, action))) self.backoff = self.max_backoff self._transition(now, Reconnect.Backoff)<|docstring|>Tell this FSM that the connection dropped or that a connection attempt failed. 'error' specifies the reason: a positive value represents an errno value, EOF indicates that the connection was closed by the peer (e.g. read() returned 0), and 0 indicates no specific error. The FSM will back off, then reconnect.<|endoftext|>
10a69b25e33e2b75ddeb38f152ceab1b27355e522bf575b755e04562be9d8a15
def connecting(self, now): 'Tell this FSM that a connection or listening attempt is in progress.\n\n The FSM will start a timer, after which the connection or listening\n attempt will be aborted (by returning ovs.reconnect.DISCONNECT from\n self.run()).' if (self.state != Reconnect.ConnectInProgress): if self.passive: self.info_level(('%s: listening...' % self.name)) elif (self.backoff < self.max_backoff): self.info_level(('%s: connecting...' % self.name)) self._transition(now, Reconnect.ConnectInProgress)
Tell this FSM that a connection or listening attempt is in progress. The FSM will start a timer, after which the connection or listening attempt will be aborted (by returning ovs.reconnect.DISCONNECT from self.run()).
python/ovs/reconnect.py
connecting
check-spelling/ovs
2,919
python
def connecting(self, now): 'Tell this FSM that a connection or listening attempt is in progress.\n\n The FSM will start a timer, after which the connection or listening\n attempt will be aborted (by returning ovs.reconnect.DISCONNECT from\n self.run()).' if (self.state != Reconnect.ConnectInProgress): if self.passive: self.info_level(('%s: listening...' % self.name)) elif (self.backoff < self.max_backoff): self.info_level(('%s: connecting...' % self.name)) self._transition(now, Reconnect.ConnectInProgress)
def connecting(self, now): 'Tell this FSM that a connection or listening attempt is in progress.\n\n The FSM will start a timer, after which the connection or listening\n attempt will be aborted (by returning ovs.reconnect.DISCONNECT from\n self.run()).' if (self.state != Reconnect.ConnectInProgress): if self.passive: self.info_level(('%s: listening...' % self.name)) elif (self.backoff < self.max_backoff): self.info_level(('%s: connecting...' % self.name)) self._transition(now, Reconnect.ConnectInProgress)<|docstring|>Tell this FSM that a connection or listening attempt is in progress. The FSM will start a timer, after which the connection or listening attempt will be aborted (by returning ovs.reconnect.DISCONNECT from self.run()).<|endoftext|>
44b92e810eb3ccc8a47f3f5d9471298b6e69b9b1e676bf9e14d0ca92f991eb52
def listening(self, now): 'Tell this FSM that the client is listening for connection attempts.\n This state last indefinitely until the client reports some change.\n\n The natural progression from this state is for the client to report\n that a connection has been accepted or is in progress of being\n accepted, by calling self.connecting() or self.connected().\n\n The client may also report that listening failed (e.g. accept()\n returned an unexpected error such as ENOMEM) by calling\n self.listen_error(), in which case the FSM will back off and eventually\n return ovs.reconnect.CONNECT from self.run() to tell the client to try\n listening again.' if (self.state != Reconnect.Listening): self.info_level(('%s: listening...' % self.name)) self._transition(now, Reconnect.Listening)
Tell this FSM that the client is listening for connection attempts. This state last indefinitely until the client reports some change. The natural progression from this state is for the client to report that a connection has been accepted or is in progress of being accepted, by calling self.connecting() or self.connected(). The client may also report that listening failed (e.g. accept() returned an unexpected error such as ENOMEM) by calling self.listen_error(), in which case the FSM will back off and eventually return ovs.reconnect.CONNECT from self.run() to tell the client to try listening again.
python/ovs/reconnect.py
listening
check-spelling/ovs
2,919
python
def listening(self, now): 'Tell this FSM that the client is listening for connection attempts.\n This state last indefinitely until the client reports some change.\n\n The natural progression from this state is for the client to report\n that a connection has been accepted or is in progress of being\n accepted, by calling self.connecting() or self.connected().\n\n The client may also report that listening failed (e.g. accept()\n returned an unexpected error such as ENOMEM) by calling\n self.listen_error(), in which case the FSM will back off and eventually\n return ovs.reconnect.CONNECT from self.run() to tell the client to try\n listening again.' if (self.state != Reconnect.Listening): self.info_level(('%s: listening...' % self.name)) self._transition(now, Reconnect.Listening)
def listening(self, now): 'Tell this FSM that the client is listening for connection attempts.\n This state last indefinitely until the client reports some change.\n\n The natural progression from this state is for the client to report\n that a connection has been accepted or is in progress of being\n accepted, by calling self.connecting() or self.connected().\n\n The client may also report that listening failed (e.g. accept()\n returned an unexpected error such as ENOMEM) by calling\n self.listen_error(), in which case the FSM will back off and eventually\n return ovs.reconnect.CONNECT from self.run() to tell the client to try\n listening again.' if (self.state != Reconnect.Listening): self.info_level(('%s: listening...' % self.name)) self._transition(now, Reconnect.Listening)<|docstring|>Tell this FSM that the client is listening for connection attempts. This state last indefinitely until the client reports some change. The natural progression from this state is for the client to report that a connection has been accepted or is in progress of being accepted, by calling self.connecting() or self.connected(). The client may also report that listening failed (e.g. accept() returned an unexpected error such as ENOMEM) by calling self.listen_error(), in which case the FSM will back off and eventually return ovs.reconnect.CONNECT from self.run() to tell the client to try listening again.<|endoftext|>
a24755b6186d592e3f67db8b246b0347858cdb719e55840e647cfc4dc988aa64
def listen_error(self, now, error): "Tell this FSM that the client's attempt to accept a connection\n failed (e.g. accept() returned an unexpected error such as ENOMEM).\n\n If the FSM is currently listening (self.listening() was called), it\n will back off and eventually return ovs.reconnect.CONNECT from\n self.run() to tell the client to try listening again. If there is an\n active connection, this will be delayed until that connection drops." if (self.state == Reconnect.Listening): self.disconnected(now, error)
Tell this FSM that the client's attempt to accept a connection failed (e.g. accept() returned an unexpected error such as ENOMEM). If the FSM is currently listening (self.listening() was called), it will back off and eventually return ovs.reconnect.CONNECT from self.run() to tell the client to try listening again. If there is an active connection, this will be delayed until that connection drops.
python/ovs/reconnect.py
listen_error
check-spelling/ovs
2,919
python
def listen_error(self, now, error): "Tell this FSM that the client's attempt to accept a connection\n failed (e.g. accept() returned an unexpected error such as ENOMEM).\n\n If the FSM is currently listening (self.listening() was called), it\n will back off and eventually return ovs.reconnect.CONNECT from\n self.run() to tell the client to try listening again. If there is an\n active connection, this will be delayed until that connection drops." if (self.state == Reconnect.Listening): self.disconnected(now, error)
def listen_error(self, now, error): "Tell this FSM that the client's attempt to accept a connection\n failed (e.g. accept() returned an unexpected error such as ENOMEM).\n\n If the FSM is currently listening (self.listening() was called), it\n will back off and eventually return ovs.reconnect.CONNECT from\n self.run() to tell the client to try listening again. If there is an\n active connection, this will be delayed until that connection drops." if (self.state == Reconnect.Listening): self.disconnected(now, error)<|docstring|>Tell this FSM that the client's attempt to accept a connection failed (e.g. accept() returned an unexpected error such as ENOMEM). If the FSM is currently listening (self.listening() was called), it will back off and eventually return ovs.reconnect.CONNECT from self.run() to tell the client to try listening again. If there is an active connection, this will be delayed until that connection drops.<|endoftext|>
eba9f5871087e5cdac478ce7fea2baacfcbdb7d821950025c7df6cb8262326b2
def connected(self, now): 'Tell this FSM that the connection was successful.\n\n The FSM will start the probe interval timer, which is reset by\n self.activity(). If the timer expires, a probe will be sent (by\n returning ovs.reconnect.PROBE from self.run(). If the timer expires\n again without being reset, the connection will be aborted (by returning\n ovs.reconnect.DISCONNECT from self.run().' if (not self.state.is_connected): self.connecting(now) self.info_level(('%s: connected' % self.name)) self._transition(now, Reconnect.Active) self.last_connected = now
Tell this FSM that the connection was successful. The FSM will start the probe interval timer, which is reset by self.activity(). If the timer expires, a probe will be sent (by returning ovs.reconnect.PROBE from self.run(). If the timer expires again without being reset, the connection will be aborted (by returning ovs.reconnect.DISCONNECT from self.run().
python/ovs/reconnect.py
connected
check-spelling/ovs
2,919
python
def connected(self, now): 'Tell this FSM that the connection was successful.\n\n The FSM will start the probe interval timer, which is reset by\n self.activity(). If the timer expires, a probe will be sent (by\n returning ovs.reconnect.PROBE from self.run(). If the timer expires\n again without being reset, the connection will be aborted (by returning\n ovs.reconnect.DISCONNECT from self.run().' if (not self.state.is_connected): self.connecting(now) self.info_level(('%s: connected' % self.name)) self._transition(now, Reconnect.Active) self.last_connected = now
def connected(self, now): 'Tell this FSM that the connection was successful.\n\n The FSM will start the probe interval timer, which is reset by\n self.activity(). If the timer expires, a probe will be sent (by\n returning ovs.reconnect.PROBE from self.run(). If the timer expires\n again without being reset, the connection will be aborted (by returning\n ovs.reconnect.DISCONNECT from self.run().' if (not self.state.is_connected): self.connecting(now) self.info_level(('%s: connected' % self.name)) self._transition(now, Reconnect.Active) self.last_connected = now<|docstring|>Tell this FSM that the connection was successful. The FSM will start the probe interval timer, which is reset by self.activity(). If the timer expires, a probe will be sent (by returning ovs.reconnect.PROBE from self.run(). If the timer expires again without being reset, the connection will be aborted (by returning ovs.reconnect.DISCONNECT from self.run().<|endoftext|>
869b1601c92bc548de6b2daff38b62a613ec49bcd91c2886c401097c94f1ca6b
def connect_failed(self, now, error): 'Tell this FSM that the connection attempt failed.\n\n The FSM will back off and attempt to reconnect.' self.connecting(now) self.disconnected(now, error)
Tell this FSM that the connection attempt failed. The FSM will back off and attempt to reconnect.
python/ovs/reconnect.py
connect_failed
check-spelling/ovs
2,919
python
def connect_failed(self, now, error): 'Tell this FSM that the connection attempt failed.\n\n The FSM will back off and attempt to reconnect.' self.connecting(now) self.disconnected(now, error)
def connect_failed(self, now, error): 'Tell this FSM that the connection attempt failed.\n\n The FSM will back off and attempt to reconnect.' self.connecting(now) self.disconnected(now, error)<|docstring|>Tell this FSM that the connection attempt failed. The FSM will back off and attempt to reconnect.<|endoftext|>
0e4d6b6e1b85f6d448835de61ba6949d6dacbc88a28d426b6b47f743011606e8
def activity(self, now): 'Tell this FSM that some activity occurred on the connection. This\n resets the probe interval timer, so that the connection is known not to\n be idle.' if (self.state != Reconnect.Active): self._transition(now, Reconnect.Active) self.last_activity = now
Tell this FSM that some activity occurred on the connection. This resets the probe interval timer, so that the connection is known not to be idle.
python/ovs/reconnect.py
activity
check-spelling/ovs
2,919
python
def activity(self, now): 'Tell this FSM that some activity occurred on the connection. This\n resets the probe interval timer, so that the connection is known not to\n be idle.' if (self.state != Reconnect.Active): self._transition(now, Reconnect.Active) self.last_activity = now
def activity(self, now): 'Tell this FSM that some activity occurred on the connection. This\n resets the probe interval timer, so that the connection is known not to\n be idle.' if (self.state != Reconnect.Active): self._transition(now, Reconnect.Active) self.last_activity = now<|docstring|>Tell this FSM that some activity occurred on the connection. This resets the probe interval timer, so that the connection is known not to be idle.<|endoftext|>
0ac05a13f94600a2961f79a4a0e55ce765f18b8b5fad106539c9f0e5ca44336f
def receive_attempted(self, now): "Tell 'fsm' that some attempt to receive data on the connection was\n made at 'now'. The FSM only allows probe interval timer to expire when\n some attempt to receive data on the connection was received after the\n time when it should have expired. This helps in the case where there's\n a long delay in the poll loop and then reconnect_run() executes before\n the code to try to receive anything from the remote runs. (To disable\n this feature, pass None for 'now'.)" self.last_receive_attempt = now
Tell 'fsm' that some attempt to receive data on the connection was made at 'now'. The FSM only allows probe interval timer to expire when some attempt to receive data on the connection was received after the time when it should have expired. This helps in the case where there's a long delay in the poll loop and then reconnect_run() executes before the code to try to receive anything from the remote runs. (To disable this feature, pass None for 'now'.)
python/ovs/reconnect.py
receive_attempted
check-spelling/ovs
2,919
python
def receive_attempted(self, now): "Tell 'fsm' that some attempt to receive data on the connection was\n made at 'now'. The FSM only allows probe interval timer to expire when\n some attempt to receive data on the connection was received after the\n time when it should have expired. This helps in the case where there's\n a long delay in the poll loop and then reconnect_run() executes before\n the code to try to receive anything from the remote runs. (To disable\n this feature, pass None for 'now'.)" self.last_receive_attempt = now
def receive_attempted(self, now): "Tell 'fsm' that some attempt to receive data on the connection was\n made at 'now'. The FSM only allows probe interval timer to expire when\n some attempt to receive data on the connection was received after the\n time when it should have expired. This helps in the case where there's\n a long delay in the poll loop and then reconnect_run() executes before\n the code to try to receive anything from the remote runs. (To disable\n this feature, pass None for 'now'.)" self.last_receive_attempt = now<|docstring|>Tell 'fsm' that some attempt to receive data on the connection was made at 'now'. The FSM only allows probe interval timer to expire when some attempt to receive data on the connection was received after the time when it should have expired. This helps in the case where there's a long delay in the poll loop and then reconnect_run() executes before the code to try to receive anything from the remote runs. (To disable this feature, pass None for 'now'.)<|endoftext|>
0065d731b6ab9ae943096e9943a6d2e6514c72cb075bf2b3f0d4f2aa562338af
def run(self, now): 'Assesses whether any action should be taken on this FSM. The return\n value is one of:\n\n - None: The client need not take any action.\n\n - Active client, ovs.reconnect.CONNECT: The client should start a\n connection attempt and indicate this by calling\n self.connecting(). If the connection attempt has definitely\n succeeded, it should call self.connected(). If the connection\n attempt has definitely failed, it should call\n self.connect_failed().\n\n The FSM is smart enough to back off correctly after successful\n connections that quickly abort, so it is OK to call\n self.connected() after a low-level successful connection\n (e.g. connect()) even if the connection might soon abort due to a\n failure at a high-level (e.g. SSL negotiation failure).\n\n - Passive client, ovs.reconnect.CONNECT: The client should try to\n listen for a connection, if it is not already listening. It\n should call self.listening() if successful, otherwise\n self.connecting() or reconnected_connect_failed() if the attempt\n is in progress or definitely failed, respectively.\n\n A listening passive client should constantly attempt to accept a\n new connection and report an accepted connection with\n self.connected().\n\n - ovs.reconnect.DISCONNECT: The client should abort the current\n connection or connection attempt or listen attempt and call\n self.disconnected() or self.connect_failed() to indicate it.\n\n - ovs.reconnect.PROBE: The client should send some kind of request\n to the peer that will elicit a response, to ensure that the\n connection is indeed in working order. (This will only be\n returned if the "probe interval" is nonzero--see\n self.set_probe_interval()).' deadline = self.state.deadline(self) if ((deadline is not None) and (now >= deadline)): return self.state.run(self, now) else: return None
Assesses whether any action should be taken on this FSM. The return value is one of: - None: The client need not take any action. - Active client, ovs.reconnect.CONNECT: The client should start a connection attempt and indicate this by calling self.connecting(). If the connection attempt has definitely succeeded, it should call self.connected(). If the connection attempt has definitely failed, it should call self.connect_failed(). The FSM is smart enough to back off correctly after successful connections that quickly abort, so it is OK to call self.connected() after a low-level successful connection (e.g. connect()) even if the connection might soon abort due to a failure at a high-level (e.g. SSL negotiation failure). - Passive client, ovs.reconnect.CONNECT: The client should try to listen for a connection, if it is not already listening. It should call self.listening() if successful, otherwise self.connecting() or reconnected_connect_failed() if the attempt is in progress or definitely failed, respectively. A listening passive client should constantly attempt to accept a new connection and report an accepted connection with self.connected(). - ovs.reconnect.DISCONNECT: The client should abort the current connection or connection attempt or listen attempt and call self.disconnected() or self.connect_failed() to indicate it. - ovs.reconnect.PROBE: The client should send some kind of request to the peer that will elicit a response, to ensure that the connection is indeed in working order. (This will only be returned if the "probe interval" is nonzero--see self.set_probe_interval()).
python/ovs/reconnect.py
run
check-spelling/ovs
2,919
python
def run(self, now): 'Assesses whether any action should be taken on this FSM. The return\n value is one of:\n\n - None: The client need not take any action.\n\n - Active client, ovs.reconnect.CONNECT: The client should start a\n connection attempt and indicate this by calling\n self.connecting(). If the connection attempt has definitely\n succeeded, it should call self.connected(). If the connection\n attempt has definitely failed, it should call\n self.connect_failed().\n\n The FSM is smart enough to back off correctly after successful\n connections that quickly abort, so it is OK to call\n self.connected() after a low-level successful connection\n (e.g. connect()) even if the connection might soon abort due to a\n failure at a high-level (e.g. SSL negotiation failure).\n\n - Passive client, ovs.reconnect.CONNECT: The client should try to\n listen for a connection, if it is not already listening. It\n should call self.listening() if successful, otherwise\n self.connecting() or reconnected_connect_failed() if the attempt\n is in progress or definitely failed, respectively.\n\n A listening passive client should constantly attempt to accept a\n new connection and report an accepted connection with\n self.connected().\n\n - ovs.reconnect.DISCONNECT: The client should abort the current\n connection or connection attempt or listen attempt and call\n self.disconnected() or self.connect_failed() to indicate it.\n\n - ovs.reconnect.PROBE: The client should send some kind of request\n to the peer that will elicit a response, to ensure that the\n connection is indeed in working order. (This will only be\n returned if the "probe interval" is nonzero--see\n self.set_probe_interval()).' deadline = self.state.deadline(self) if ((deadline is not None) and (now >= deadline)): return self.state.run(self, now) else: return None
def run(self, now): 'Assesses whether any action should be taken on this FSM. The return\n value is one of:\n\n - None: The client need not take any action.\n\n - Active client, ovs.reconnect.CONNECT: The client should start a\n connection attempt and indicate this by calling\n self.connecting(). If the connection attempt has definitely\n succeeded, it should call self.connected(). If the connection\n attempt has definitely failed, it should call\n self.connect_failed().\n\n The FSM is smart enough to back off correctly after successful\n connections that quickly abort, so it is OK to call\n self.connected() after a low-level successful connection\n (e.g. connect()) even if the connection might soon abort due to a\n failure at a high-level (e.g. SSL negotiation failure).\n\n - Passive client, ovs.reconnect.CONNECT: The client should try to\n listen for a connection, if it is not already listening. It\n should call self.listening() if successful, otherwise\n self.connecting() or reconnected_connect_failed() if the attempt\n is in progress or definitely failed, respectively.\n\n A listening passive client should constantly attempt to accept a\n new connection and report an accepted connection with\n self.connected().\n\n - ovs.reconnect.DISCONNECT: The client should abort the current\n connection or connection attempt or listen attempt and call\n self.disconnected() or self.connect_failed() to indicate it.\n\n - ovs.reconnect.PROBE: The client should send some kind of request\n to the peer that will elicit a response, to ensure that the\n connection is indeed in working order. (This will only be\n returned if the "probe interval" is nonzero--see\n self.set_probe_interval()).' deadline = self.state.deadline(self) if ((deadline is not None) and (now >= deadline)): return self.state.run(self, now) else: return None<|docstring|>Assesses whether any action should be taken on this FSM. The return value is one of: - None: The client need not take any action. - Active client, ovs.reconnect.CONNECT: The client should start a connection attempt and indicate this by calling self.connecting(). If the connection attempt has definitely succeeded, it should call self.connected(). If the connection attempt has definitely failed, it should call self.connect_failed(). The FSM is smart enough to back off correctly after successful connections that quickly abort, so it is OK to call self.connected() after a low-level successful connection (e.g. connect()) even if the connection might soon abort due to a failure at a high-level (e.g. SSL negotiation failure). - Passive client, ovs.reconnect.CONNECT: The client should try to listen for a connection, if it is not already listening. It should call self.listening() if successful, otherwise self.connecting() or reconnected_connect_failed() if the attempt is in progress or definitely failed, respectively. A listening passive client should constantly attempt to accept a new connection and report an accepted connection with self.connected(). - ovs.reconnect.DISCONNECT: The client should abort the current connection or connection attempt or listen attempt and call self.disconnected() or self.connect_failed() to indicate it. - ovs.reconnect.PROBE: The client should send some kind of request to the peer that will elicit a response, to ensure that the connection is indeed in working order. (This will only be returned if the "probe interval" is nonzero--see self.set_probe_interval()).<|endoftext|>
3c29ea9c51b250cf2d197aae4fc4bc09eec8b3cd8e95d3f34bf9ba5c8fcad3e4
def wait(self, poller, now): 'Causes the next call to poller.block() to wake up when self.run()\n should be called.' timeout = self.timeout(now) if ((timeout is not None) and (timeout >= 0)): poller.timer_wait(timeout)
Causes the next call to poller.block() to wake up when self.run() should be called.
python/ovs/reconnect.py
wait
check-spelling/ovs
2,919
python
def wait(self, poller, now): 'Causes the next call to poller.block() to wake up when self.run()\n should be called.' timeout = self.timeout(now) if ((timeout is not None) and (timeout >= 0)): poller.timer_wait(timeout)
def wait(self, poller, now): 'Causes the next call to poller.block() to wake up when self.run()\n should be called.' timeout = self.timeout(now) if ((timeout is not None) and (timeout >= 0)): poller.timer_wait(timeout)<|docstring|>Causes the next call to poller.block() to wake up when self.run() should be called.<|endoftext|>
dc0c2ba19cc79589d50a0e3ab2d49db6ab78a46b5a6414f6c7b4b9dd62ad884c
def timeout(self, now): 'Returns the number of milliseconds after which self.run() should be\n called if nothing else notable happens in the meantime, or None if this\n is currently unnecessary.' deadline = self.state.deadline(self) if (deadline is not None): remaining = (deadline - now) return max(0, remaining) else: return None
Returns the number of milliseconds after which self.run() should be called if nothing else notable happens in the meantime, or None if this is currently unnecessary.
python/ovs/reconnect.py
timeout
check-spelling/ovs
2,919
python
def timeout(self, now): 'Returns the number of milliseconds after which self.run() should be\n called if nothing else notable happens in the meantime, or None if this\n is currently unnecessary.' deadline = self.state.deadline(self) if (deadline is not None): remaining = (deadline - now) return max(0, remaining) else: return None
def timeout(self, now): 'Returns the number of milliseconds after which self.run() should be\n called if nothing else notable happens in the meantime, or None if this\n is currently unnecessary.' deadline = self.state.deadline(self) if (deadline is not None): remaining = (deadline - now) return max(0, remaining) else: return None<|docstring|>Returns the number of milliseconds after which self.run() should be called if nothing else notable happens in the meantime, or None if this is currently unnecessary.<|endoftext|>
549e666b3850d664d18443b24ffd71fc8e5b17f5fe3588aa873667577b033d07
def is_connected(self): 'Returns True if this FSM is currently believed to be connected, that\n is, if self.connected() was called more recently than any call to\n self.connect_failed() or self.disconnected() or self.disable(), and\n False otherwise.' return self.state.is_connected
Returns True if this FSM is currently believed to be connected, that is, if self.connected() was called more recently than any call to self.connect_failed() or self.disconnected() or self.disable(), and False otherwise.
python/ovs/reconnect.py
is_connected
check-spelling/ovs
2,919
python
def is_connected(self): 'Returns True if this FSM is currently believed to be connected, that\n is, if self.connected() was called more recently than any call to\n self.connect_failed() or self.disconnected() or self.disable(), and\n False otherwise.' return self.state.is_connected
def is_connected(self): 'Returns True if this FSM is currently believed to be connected, that\n is, if self.connected() was called more recently than any call to\n self.connect_failed() or self.disconnected() or self.disable(), and\n False otherwise.' return self.state.is_connected<|docstring|>Returns True if this FSM is currently believed to be connected, that is, if self.connected() was called more recently than any call to self.connect_failed() or self.disconnected() or self.disable(), and False otherwise.<|endoftext|>
8862dbb2ece5835f8341e498cad76d01e32aec68af4dba43042506384a1b424b
def get_last_connect_elapsed(self, now): "Returns the number of milliseconds since 'fsm' was last connected\n to its peer. Returns None if never connected." if self.last_connected: return (now - self.last_connected) else: return None
Returns the number of milliseconds since 'fsm' was last connected to its peer. Returns None if never connected.
python/ovs/reconnect.py
get_last_connect_elapsed
check-spelling/ovs
2,919
python
def get_last_connect_elapsed(self, now): "Returns the number of milliseconds since 'fsm' was last connected\n to its peer. Returns None if never connected." if self.last_connected: return (now - self.last_connected) else: return None
def get_last_connect_elapsed(self, now): "Returns the number of milliseconds since 'fsm' was last connected\n to its peer. Returns None if never connected." if self.last_connected: return (now - self.last_connected) else: return None<|docstring|>Returns the number of milliseconds since 'fsm' was last connected to its peer. Returns None if never connected.<|endoftext|>
c35241b66d67fd54dd094d76a4e1c7f8df47c5c9a234f649c78937a81ce457f2
def get_last_disconnect_elapsed(self, now): "Returns the number of milliseconds since 'fsm' was last disconnected\n from its peer. Returns None if never disconnected." if self.last_disconnected: return (now - self.last_disconnected) else: return None
Returns the number of milliseconds since 'fsm' was last disconnected from its peer. Returns None if never disconnected.
python/ovs/reconnect.py
get_last_disconnect_elapsed
check-spelling/ovs
2,919
python
def get_last_disconnect_elapsed(self, now): "Returns the number of milliseconds since 'fsm' was last disconnected\n from its peer. Returns None if never disconnected." if self.last_disconnected: return (now - self.last_disconnected) else: return None
def get_last_disconnect_elapsed(self, now): "Returns the number of milliseconds since 'fsm' was last disconnected\n from its peer. Returns None if never disconnected." if self.last_disconnected: return (now - self.last_disconnected) else: return None<|docstring|>Returns the number of milliseconds since 'fsm' was last disconnected from its peer. Returns None if never disconnected.<|endoftext|>