text stringlengths 0 828 |
|---|
""""""Move the cursor to this item."""""" |
cu = self.scraper.current_item |
# Already here? |
if self is cu: |
return |
# A child? |
if cu.items and self in cu.items: |
self.scraper.move_to(self) |
return |
# A parent? |
if self is cu.parent: |
self.scraper.move_up() |
# A sibling? |
if self.parent and self in self.parent.items: |
self.scraper.move_up() |
self.scraper.move_to(self) |
return |
# Last resort: Move to top and all the way down again |
self.scraper.move_to_top() |
for step in self.path: |
self.scraper.move_to(step)" |
3821,"def items(self): |
""""""ItemList of children."""""" |
if self.scraper.current_item is not self: |
self._move_here() |
if self._items is None: |
self._items = ItemList() |
self._items.scraper = self.scraper |
self._items.collection = self |
for i in self.scraper._fetch_itemslist(self): |
i.parent = self |
if i.type == TYPE_DATASET and i.dialect is None: |
i.dialect = self.scraper.dialect |
self._items.append(i) |
return self._items" |
3822,"def _hash(self): |
""""""Return a hash for the current query. |
This hash is _not_ a unique representation of the dataset! |
"""""" |
dump = dumps(self.query, sort_keys=True) |
if isinstance(dump, str): |
dump = dump.encode('utf-8') |
return md5(dump).hexdigest()" |
3823,"def fetch_next(self, query=None, **kwargs): |
""""""Generator to yield data one row at a time. |
Yields a Result, not the entire ResultSet. The containing ResultSet |
can be accessed through `Result.resultset`, but be careful not to |
manipulate the ResultSet until it is populated (when this generator |
is empty), or you may see unexpected results. |
"""""" |
if query: |
self.query = query |
hash_ = self._hash |
if hash_ in self._data: |
for result in self._data[hash_]: |
yield result |
if self.scraper.current_item is not self: |
self._move_here() |
self._data[hash_] = ResultSet() |
self._data[hash_].dialect = self.dialect |
self._data[hash_].dataset = self |
for result in self.scraper._fetch_data(self, |
query=self.query, |
**kwargs): |
self._data[hash_].append(result) |
yield result" |
3824,"def dimensions(self): |
""""""Available dimensions, if defined."""""" |
# First of all: Select this dataset |
if self.scraper.current_item is not self: |
self._move_here() |
if self._dimensions is None: |
self._dimensions = DimensionList() |
for d in self.scraper._fetch_dimensions(self): |
d.dataset = self |
d.scraper = self.scraper |
self._dimensions.append(d) |
return self._dimensions" |
3825,"def shape(self): |
""""""Compute the shape of the dataset as (rows, cols)."""""" |
if not self.data: |
return (0, 0) |
return (len(self.data), len(self.dimensions))" |
3826,"def on(cls, hook): |
""""""Hook decorator."""""" |
def decorator(function_): |
cls._hooks[hook].append(function_) |
return function_ |
return decorator" |
3827,"def move_to_top(self): |
""""""Move to root item."""""" |
self.current_item = self.root |
for f in self._hooks[""top""]: |
f(self) |
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