本文整理汇总了Python中itertools.chain.append方法的典型用法代码示例。如果您正苦于以下问题:Python chain.append方法的具体用法?Python chain.append怎么用?Python chain.append使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类itertools.chain
的用法示例。
在下文中一共展示了chain.append方法的15个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: _maybe_merge
# 需要导入模块: from itertools import chain [as 别名]
# 或者: from itertools.chain import append [as 别名]
def _maybe_merge(self, n):
from accelerator.g import slices
if slices < 2:
return
fn = self.column_filename(n)
sizes = [os.path.getsize(fn % (sliceno,)) for sliceno in range(slices)]
if sum(sizes) / slices > 524288: # arbitrary guess of good size
return
offsets = []
pos = 0
with open(fn % ('m',), 'wb') as m_fh:
for sliceno, size in enumerate(sizes):
with open(fn % (sliceno,), 'rb') as p_fh:
data = p_fh.read()
assert len(data) == size, "Slice %d is %d bytes, not %d?" % (sliceno, len(data), size,)
os.unlink(fn % (sliceno,))
m_fh.write(data)
offsets.append(pos)
pos += size
c = self._data.columns[n]
self._data.columns[n] = c._replace(
offsets=offsets,
location=c.location % ('m',),
)
示例2: add
# 需要导入模块: from itertools import chain [as 别名]
# 或者: from itertools.chain import append [as 别名]
def add(self, colname, coltype, default=_nodefault, none_support=False):
from accelerator.g import running
assert running == self._running, "Add all columns in the same step as creation"
assert not self._started, "Add all columns before setting slice"
colname = uni(colname)
coltype = uni(coltype)
assert colname not in self.columns, colname
assert colname
typed_writer(coltype) # gives error for unknown types
if none_support and coltype.startswith('bits'):
raise DatasetUsageError("%s columns can't have None support" % (coltype,))
self.columns[colname] = (coltype, default, none_support)
self._order.append(colname)
if colname in self._pcolumns:
self._clean_names[colname] = self._pcolumns[colname].name
else:
self._clean_names[colname] = _clean_name(colname, self._seen_n)
示例3: job_datasets
# 需要导入模块: from itertools import chain [as 别名]
# 或者: from itertools.chain import append [as 别名]
def job_datasets(job):
"""All datasets in a job"""
if isinstance(job, Dataset):
job = job.job
else:
job = Job(job)
fn = job.filename('datasets.txt')
if not os.path.exists(fn):
# It's not an error to list datasets in a job without them.
return []
with open(fn, 'r', encoding='utf-8') as fh:
names = [line[:-1] for line in fh]
res = []
# Do this backwards to improve chances that we take advantage of cache.
# (Names are written to datasets.txt in finish() order.)
for name in reversed(names):
res.append(Dataset(job, name))
return list(reversed(res))
示例4: managers
# 需要导入模块: from itertools import chain [as 别名]
# 或者: from itertools.chain import append [as 别名]
def managers(self):
managers = []
seen_managers = set()
bases = (b for b in self.model.mro() if hasattr(b, '_meta'))
for depth, base in enumerate(bases):
for manager in base._meta.local_managers:
if manager.name in seen_managers:
continue
manager = copy.copy(manager)
manager.model = self.model
seen_managers.add(manager.name)
managers.append((depth, manager.creation_counter, manager))
# Used for deprecation of legacy manager inheritance,
# remove afterwards. (RemovedInDjango20Warning)
manager._originating_model = base
return make_immutable_fields_list(
"managers",
(m[2] for m in sorted(managers)),
)
示例5: get_path_to_parent
# 需要导入模块: from itertools import chain [as 别名]
# 或者: from itertools.chain import append [as 别名]
def get_path_to_parent(self, parent):
"""
Return a list of PathInfos containing the path from the current
model to the parent model, or an empty list if parent is not a
parent of the current model.
"""
if self.model is parent:
return []
# Skip the chain of proxy to the concrete proxied model.
proxied_model = self.concrete_model
path = []
opts = self
for int_model in self.get_base_chain(parent):
if int_model is proxied_model:
opts = int_model._meta
else:
final_field = opts.parents[int_model]
targets = (final_field.remote_field.get_related_field(),)
opts = int_model._meta
path.append(PathInfo(final_field.model._meta, opts, targets, final_field, False, True))
return path
示例6: get_path_from_parent
# 需要导入模块: from itertools import chain [as 别名]
# 或者: from itertools.chain import append [as 别名]
def get_path_from_parent(self, parent):
"""
Return a list of PathInfos containing the path from the parent
model to the current model, or an empty list if parent is not a
parent of the current model.
"""
if self.model is parent:
return []
model = self.concrete_model
# Get a reversed base chain including both the current and parent
# models.
chain = model._meta.get_base_chain(parent)
chain.reverse()
chain.append(model)
# Construct a list of the PathInfos between models in chain.
path = []
for i, ancestor in enumerate(chain[:-1]):
child = chain[i + 1]
link = child._meta.get_ancestor_link(ancestor)
path.extend(link.get_reverse_path_info())
return path
示例7: show_requirements
# 需要导入模块: from itertools import chain [as 别名]
# 或者: from itertools.chain import append [as 别名]
def show_requirements(self, setup_key, requirements):
"""
:param str setup_key: Name of corresponding key in 'setup()'
:param setupmeta.RequirementsFile requirements:
"""
content = "None, # no auto-fill"
names = []
source_descriptions = []
if requirements:
for req_entry in requirements.reqs:
if req_entry.requirement and not req_entry.is_ignored and req_entry.requirement not in names:
names.append(req_entry.requirement)
source_descriptions.append(req_entry.source_description)
if names:
longest_name = max(len(name) for name in names) + 5
content = []
for i, name in enumerate(names):
content.append(self.represented_req(name, source_descriptions[i], longest_name))
content = "[\n %s\n ]," % "\n ".join(content).strip()
print(" %s=%s" % (setup_key, content))
示例8: get_console_scripts
# 需要导入模块: from itertools import chain [as 别名]
# 或者: from itertools.chain import append [as 别名]
def get_console_scripts(entry_points):
"""pygradle's 'entrypoints' are misnamed: they really mean 'consolescripts'"""
if not entry_points:
return None
if isinstance(entry_points, dict):
return entry_points.get("console_scripts")
if isinstance(entry_points, list):
result = []
in_console_scripts = False
for line in entry_points:
line = line.strip()
if line and line.startswith("["):
in_console_scripts = "console_scripts" in line
continue
if in_console_scripts:
result.append(line)
return result
return get_console_scripts(entry_points.split("\n"))
示例9: parent_recursive
# 需要导入模块: from itertools import chain [as 别名]
# 或者: from itertools.chain import append [as 别名]
def parent_recursive(self):
"""A list of parents, starting with the immediate parent"""
parent_list = []
parent = self.parent
while parent:
if parent:
parent_list.append(parent)
parent = parent.parent
return parent_list
示例10: children_recursive
# 需要导入模块: from itertools import chain [as 别名]
# 或者: from itertools.chain import append [as 别名]
def children_recursive(self):
"""A list of all children from this bone."""
bones_children = []
for bone in self._other_bones:
index = bone.parent_index(self)
if index:
bones_children.append((index, bone))
# sort by distance to parent
bones_children.sort(key=lambda bone_pair: bone_pair[0])
return [bone for index, bone in bones_children]
示例11: children_recursive_basename
# 需要导入模块: from itertools import chain [as 别名]
# 或者: from itertools.chain import append [as 别名]
def children_recursive_basename(self):
"""
Returns a chain of children with the same base name as this bone.
Only direct chains are supported, forks caused by multiple children
with matching base names will terminate the function
and not be returned.
"""
basename = self.basename
chain = []
child = self
while True:
children = child.children
children_basename = []
for child in children:
if basename == child.basename:
children_basename.append(child)
if len(children_basename) == 1:
child = children_basename[0]
chain.append(child)
else:
if children_basename:
print("multiple basenames found, "
"this is probably not what you want!",
self.name, children_basename)
break
return chain
示例12: __new__
# 需要导入模块: from itertools import chain [as 别名]
# 或者: from itertools.chain import append [as 别名]
def __new__(cls, name, bases, classdict, **args):
result = type.__new__(cls, name, bases, classdict)
if bases and bases[0] is not StructRNA:
from _weakref import ref as ref
module = result.__module__
# first part of packages only
if "." in module:
module = module[:module.index(".")]
TypeMap.setdefault(module, []).append(ref(result))
return result
示例13: __setitem__
# 需要导入模块: from itertools import chain [as 别名]
# 或者: from itertools.chain import append [as 别名]
def __setitem__(self, key, val):
dict.__setitem__(self, key, val)
if key not in self.order:
self.order.append(key)
示例14: link_to_here
# 需要导入模块: from itertools import chain [as 别名]
# 或者: from itertools.chain import append [as 别名]
def link_to_here(self, name='default', column_filter=None, override_previous=_no_override, filename=None):
"""Use this to expose a subjob as a dataset in your job:
Dataset(subjid).link_to_here()
will allow access to the subjob dataset under your jid.
Specify column_filter as an iterable of columns to include
if you don't want all of them.
Use override_previous to rechain (or unchain) the dataset.
You can change the filename too, or clear it by setting ''.
"""
d = Dataset(self)
if column_filter:
column_filter = set(column_filter)
filtered_columns = {k: v for k, v in d._data.columns.items() if k in column_filter}
left_over = column_filter - set(filtered_columns)
assert not left_over, "Columns in filter not available in dataset: %r" % (left_over,)
assert filtered_columns, "Filter produced no desired columns."
d._data.columns = filtered_columns
from accelerator.g import job
if override_previous is not _no_override:
override_previous = _dsid(override_previous)
if override_previous:
# make sure it's valid
Dataset(override_previous)
d._data.previous = override_previous
d._update_caches()
d._data.parent = '%s/%s' % (d.job, d.name,)
if filename is not None:
d._data.filename = filename or None
d.job = job
d.name = uni(name)
d._save()
_datasets_written.append(d.name)
return Dataset(d.job, d.name)
示例15: _iterator
# 需要导入模块: from itertools import chain [as 别名]
# 或者: from itertools.chain import append [as 别名]
def _iterator(self, sliceno, columns=None):
res = []
not_found = []
for col in columns or sorted(self.columns):
if col in self.columns:
res.append(self._column_iterator(sliceno, col))
else:
not_found.append(col)
assert not not_found, 'Columns %r not found in %s/%s' % (not_found, self.job, self.name)
return res