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parse_requirements | (strs) | Yield ``Requirement`` objects for each specification in `strs`
`strs` must be a string, or a (possibly-nested) iterable thereof.
| Yield ``Requirement`` objects for each specification in `strs` | def parse_requirements(strs):
"""Yield ``Requirement`` objects for each specification in `strs`
`strs` must be a string, or a (possibly-nested) iterable thereof.
"""
# create a steppable iterator, so we can handle \-continuations
lines = iter(yield_lines(strs))
for line in lines:
# Drop comments -- a hash without a space may be in a URL.
if ' #' in line:
line = line[:line.find(' #')]
# If there is a line continuation, drop it, and append the next line.
if line.endswith('\\'):
line = line[:-2].strip()
try:
line += next(lines)
except StopIteration:
return
yield Requirement(line) | [
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] | [
2915,
0
] | [
2934,
31
] | python | en | ['en', 'en', 'en'] | True |
_always_object | (classes) |
Ensure object appears in the mro even
for old-style classes.
|
Ensure object appears in the mro even
for old-style classes.
| def _always_object(classes):
"""
Ensure object appears in the mro even
for old-style classes.
"""
if object not in classes:
return classes + (object,)
return classes | [
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2991,
0
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2998,
18
] | python | en | ['en', 'error', 'th'] | False |
_find_adapter | (registry, ob) | Return an adapter factory for `ob` from `registry` | Return an adapter factory for `ob` from `registry` | def _find_adapter(registry, ob):
"""Return an adapter factory for `ob` from `registry`"""
types = _always_object(inspect.getmro(getattr(ob, '__class__', type(ob))))
for t in types:
if t in registry:
return registry[t] | [
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3001,
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3006,
30
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VersionConflict.with_context | (self, required_by) |
If required_by is non-empty, return a version of self that is a
ContextualVersionConflict.
|
If required_by is non-empty, return a version of self that is a
ContextualVersionConflict.
| def with_context(self, required_by):
"""
If required_by is non-empty, return a version of self that is a
ContextualVersionConflict.
"""
if not required_by:
return self
args = self.args + (required_by,)
return ContextualVersionConflict(*args) | [
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265,
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273,
47
] | python | en | ['en', 'error', 'th'] | False |
IMetadataProvider.has_metadata | (name) | Does the package's distribution contain the named metadata? | Does the package's distribution contain the named metadata? | def has_metadata(name):
"""Does the package's distribution contain the named metadata?""" | [
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494,
73
] | python | en | ['en', 'en', 'en'] | True |
IMetadataProvider.get_metadata | (name) | The named metadata resource as a string | The named metadata resource as a string | def get_metadata(name):
"""The named metadata resource as a string""" | [
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")",
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496,
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497,
53
] | python | en | ['en', 'en', 'en'] | True |
IMetadataProvider.get_metadata_lines | (name) | Yield named metadata resource as list of non-blank non-comment lines
Leading and trailing whitespace is stripped from each line, and lines
with ``#`` as the first non-blank character are omitted. | Yield named metadata resource as list of non-blank non-comment lines | def get_metadata_lines(name):
"""Yield named metadata resource as list of non-blank non-comment lines
Leading and trailing whitespace is stripped from each line, and lines
with ``#`` as the first non-blank character are omitted.""" | [
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503,
66
] | python | en | ['en', 'en', 'en'] | True |
IMetadataProvider.metadata_isdir | (name) | Is the named metadata a directory? (like ``os.path.isdir()``) | Is the named metadata a directory? (like ``os.path.isdir()``) | def metadata_isdir(name):
"""Is the named metadata a directory? (like ``os.path.isdir()``)""" | [
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"(",
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")",
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] | [
505,
4
] | [
506,
76
] | python | en | ['en', 'en', 'en'] | True |
IMetadataProvider.metadata_listdir | (name) | List of metadata names in the directory (like ``os.listdir()``) | List of metadata names in the directory (like ``os.listdir()``) | def metadata_listdir(name):
"""List of metadata names in the directory (like ``os.listdir()``)""" | [
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")",
":"
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508,
4
] | [
509,
77
] | python | en | ['en', 'en', 'en'] | True |
IMetadataProvider.run_script | (script_name, namespace) | Execute the named script in the supplied namespace dictionary | Execute the named script in the supplied namespace dictionary | def run_script(script_name, namespace):
"""Execute the named script in the supplied namespace dictionary""" | [
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"(",
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",",
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")",
":"
] | [
511,
4
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512,
75
] | python | en | ['en', 'en', 'en'] | True |
IResourceProvider.get_resource_filename | (manager, resource_name) | Return a true filesystem path for `resource_name`
`manager` must be an ``IResourceManager`` | Return a true filesystem path for `resource_name` | def get_resource_filename(manager, resource_name):
"""Return a true filesystem path for `resource_name`
`manager` must be an ``IResourceManager``""" | [
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518,
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521,
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] | python | en | ['en', 'en', 'en'] | True |
IResourceProvider.get_resource_stream | (manager, resource_name) | Return a readable file-like object for `resource_name`
`manager` must be an ``IResourceManager`` | Return a readable file-like object for `resource_name` | def get_resource_stream(manager, resource_name):
"""Return a readable file-like object for `resource_name`
`manager` must be an ``IResourceManager``""" | [
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526,
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IResourceProvider.get_resource_string | (manager, resource_name) | Return a string containing the contents of `resource_name`
`manager` must be an ``IResourceManager`` | Return a string containing the contents of `resource_name` | def get_resource_string(manager, resource_name):
"""Return a string containing the contents of `resource_name`
`manager` must be an ``IResourceManager``""" | [
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531,
52
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IResourceProvider.has_resource | (resource_name) | Does the package contain the named resource? | Does the package contain the named resource? | def has_resource(resource_name):
"""Does the package contain the named resource?""" | [
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"has_resource",
"(",
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533,
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] | [
534,
58
] | python | en | ['en', 'en', 'en'] | True |
IResourceProvider.resource_isdir | (resource_name) | Is the named resource a directory? (like ``os.path.isdir()``) | Is the named resource a directory? (like ``os.path.isdir()``) | def resource_isdir(resource_name):
"""Is the named resource a directory? (like ``os.path.isdir()``)""" | [
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")",
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] | [
536,
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537,
76
] | python | en | ['en', 'en', 'en'] | True |
IResourceProvider.resource_listdir | (resource_name) | List of resource names in the directory (like ``os.listdir()``) | List of resource names in the directory (like ``os.listdir()``) | def resource_listdir(resource_name):
"""List of resource names in the directory (like ``os.listdir()``)""" | [
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"resource_listdir",
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"resource_name",
")",
":"
] | [
539,
4
] | [
540,
77
] | python | en | ['en', 'en', 'en'] | True |
WorkingSet.__init__ | (self, entries=None) | Create working set from list of path entries (default=sys.path) | Create working set from list of path entries (default=sys.path) | def __init__(self, entries=None):
"""Create working set from list of path entries (default=sys.path)"""
self.entries = []
self.entry_keys = {}
self.by_key = {}
self.callbacks = []
if entries is None:
entries = sys.path
for entry in entries:
self.add_entry(entry) | [
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557,
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WorkingSet._build_master | (cls) |
Prepare the master working set.
|
Prepare the master working set.
| def _build_master(cls):
"""
Prepare the master working set.
"""
ws = cls()
try:
from __main__ import __requires__
except ImportError:
# The main program does not list any requirements
return ws
# ensure the requirements are met
try:
ws.require(__requires__)
except VersionConflict:
return cls._build_from_requirements(__requires__)
return ws | [
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WorkingSet._build_from_requirements | (cls, req_spec) |
Build a working set from a requirement spec. Rewrites sys.path.
|
Build a working set from a requirement spec. Rewrites sys.path.
| def _build_from_requirements(cls, req_spec):
"""
Build a working set from a requirement spec. Rewrites sys.path.
"""
# try it without defaults already on sys.path
# by starting with an empty path
ws = cls([])
reqs = parse_requirements(req_spec)
dists = ws.resolve(reqs, Environment())
for dist in dists:
ws.add(dist)
# add any missing entries from sys.path
for entry in sys.path:
if entry not in ws.entries:
ws.add_entry(entry)
# then copy back to sys.path
sys.path[:] = ws.entries
return ws | [
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599,
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WorkingSet.add_entry | (self, entry) | Add a path item to ``.entries``, finding any distributions on it
``find_distributions(entry, True)`` is used to find distributions
corresponding to the path entry, and they are added. `entry` is
always appended to ``.entries``, even if it is already present.
(This is because ``sys.path`` can contain the same value more than
once, and the ``.entries`` of the ``sys.path`` WorkingSet should always
equal ``sys.path``.)
| Add a path item to ``.entries``, finding any distributions on it | def add_entry(self, entry):
"""Add a path item to ``.entries``, finding any distributions on it
``find_distributions(entry, True)`` is used to find distributions
corresponding to the path entry, and they are added. `entry` is
always appended to ``.entries``, even if it is already present.
(This is because ``sys.path`` can contain the same value more than
once, and the ``.entries`` of the ``sys.path`` WorkingSet should always
equal ``sys.path``.)
"""
self.entry_keys.setdefault(entry, [])
self.entries.append(entry)
for dist in find_distributions(entry, True):
self.add(dist, entry, False) | [
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WorkingSet.__contains__ | (self, dist) | True if `dist` is the active distribution for its project | True if `dist` is the active distribution for its project | def __contains__(self, dist):
"""True if `dist` is the active distribution for its project"""
return self.by_key.get(dist.key) == dist | [
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WorkingSet.find | (self, req) | Find a distribution matching requirement `req`
If there is an active distribution for the requested project, this
returns it as long as it meets the version requirement specified by
`req`. But, if there is an active distribution for the project and it
does *not* meet the `req` requirement, ``VersionConflict`` is raised.
If there is no active distribution for the requested project, ``None``
is returned.
| Find a distribution matching requirement `req` | def find(self, req):
"""Find a distribution matching requirement `req`
If there is an active distribution for the requested project, this
returns it as long as it meets the version requirement specified by
`req`. But, if there is an active distribution for the project and it
does *not* meet the `req` requirement, ``VersionConflict`` is raised.
If there is no active distribution for the requested project, ``None``
is returned.
"""
dist = self.by_key.get(req.key)
if dist is not None and dist not in req:
# XXX add more info
raise VersionConflict(dist, req)
return dist | [
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WorkingSet.iter_entry_points | (self, group, name=None) | Yield entry point objects from `group` matching `name`
If `name` is None, yields all entry points in `group` from all
distributions in the working set, otherwise only ones matching
both `group` and `name` are yielded (in distribution order).
| Yield entry point objects from `group` matching `name` | def iter_entry_points(self, group, name=None):
"""Yield entry point objects from `group` matching `name`
If `name` is None, yields all entry points in `group` from all
distributions in the working set, otherwise only ones matching
both `group` and `name` are yielded (in distribution order).
"""
for dist in self:
entries = dist.get_entry_map(group)
if name is None:
for ep in entries.values():
yield ep
elif name in entries:
yield entries[name] | [
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WorkingSet.run_script | (self, requires, script_name) | Locate distribution for `requires` and run `script_name` script | Locate distribution for `requires` and run `script_name` script | def run_script(self, requires, script_name):
"""Locate distribution for `requires` and run `script_name` script"""
ns = sys._getframe(1).f_globals
name = ns['__name__']
ns.clear()
ns['__name__'] = name
self.require(requires)[0].run_script(script_name, ns) | [
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657,
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WorkingSet.__iter__ | (self) | Yield distributions for non-duplicate projects in the working set
The yield order is the order in which the items' path entries were
added to the working set.
| Yield distributions for non-duplicate projects in the working set | def __iter__(self):
"""Yield distributions for non-duplicate projects in the working set
The yield order is the order in which the items' path entries were
added to the working set.
"""
seen = {}
for item in self.entries:
if item not in self.entry_keys:
# workaround a cache issue
continue
for key in self.entry_keys[item]:
if key not in seen:
seen[key] = 1
yield self.by_key[key] | [
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] | [
659,
4
] | [
674,
42
] | python | en | ['en', 'en', 'en'] | True |
WorkingSet.add | (self, dist, entry=None, insert=True, replace=False) | Add `dist` to working set, associated with `entry`
If `entry` is unspecified, it defaults to the ``.location`` of `dist`.
On exit from this routine, `entry` is added to the end of the working
set's ``.entries`` (if it wasn't already present).
`dist` is only added to the working set if it's for a project that
doesn't already have a distribution in the set, unless `replace=True`.
If it's added, any callbacks registered with the ``subscribe()`` method
will be called.
| Add `dist` to working set, associated with `entry` | def add(self, dist, entry=None, insert=True, replace=False):
"""Add `dist` to working set, associated with `entry`
If `entry` is unspecified, it defaults to the ``.location`` of `dist`.
On exit from this routine, `entry` is added to the end of the working
set's ``.entries`` (if it wasn't already present).
`dist` is only added to the working set if it's for a project that
doesn't already have a distribution in the set, unless `replace=True`.
If it's added, any callbacks registered with the ``subscribe()`` method
will be called.
"""
if insert:
dist.insert_on(self.entries, entry, replace=replace)
if entry is None:
entry = dist.location
keys = self.entry_keys.setdefault(entry, [])
keys2 = self.entry_keys.setdefault(dist.location, [])
if not replace and dist.key in self.by_key:
# ignore hidden distros
return
self.by_key[dist.key] = dist
if dist.key not in keys:
keys.append(dist.key)
if dist.key not in keys2:
keys2.append(dist.key)
self._added_new(dist) | [
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704,
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] | python | en | ['en', 'en', 'en'] | True |
WorkingSet.resolve | (self, requirements, env=None, installer=None,
replace_conflicting=False, extras=None) | List all distributions needed to (recursively) meet `requirements`
`requirements` must be a sequence of ``Requirement`` objects. `env`,
if supplied, should be an ``Environment`` instance. If
not supplied, it defaults to all distributions available within any
entry or distribution in the working set. `installer`, if supplied,
will be invoked with each requirement that cannot be met by an
already-installed distribution; it should return a ``Distribution`` or
``None``.
Unless `replace_conflicting=True`, raises a VersionConflict exception
if
any requirements are found on the path that have the correct name but
the wrong version. Otherwise, if an `installer` is supplied it will be
invoked to obtain the correct version of the requirement and activate
it.
`extras` is a list of the extras to be used with these requirements.
This is important because extra requirements may look like `my_req;
extra = "my_extra"`, which would otherwise be interpreted as a purely
optional requirement. Instead, we want to be able to assert that these
requirements are truly required.
| List all distributions needed to (recursively) meet `requirements` | def resolve(self, requirements, env=None, installer=None,
replace_conflicting=False, extras=None):
"""List all distributions needed to (recursively) meet `requirements`
`requirements` must be a sequence of ``Requirement`` objects. `env`,
if supplied, should be an ``Environment`` instance. If
not supplied, it defaults to all distributions available within any
entry or distribution in the working set. `installer`, if supplied,
will be invoked with each requirement that cannot be met by an
already-installed distribution; it should return a ``Distribution`` or
``None``.
Unless `replace_conflicting=True`, raises a VersionConflict exception
if
any requirements are found on the path that have the correct name but
the wrong version. Otherwise, if an `installer` is supplied it will be
invoked to obtain the correct version of the requirement and activate
it.
`extras` is a list of the extras to be used with these requirements.
This is important because extra requirements may look like `my_req;
extra = "my_extra"`, which would otherwise be interpreted as a purely
optional requirement. Instead, we want to be able to assert that these
requirements are truly required.
"""
# set up the stack
requirements = list(requirements)[::-1]
# set of processed requirements
processed = {}
# key -> dist
best = {}
to_activate = []
req_extras = _ReqExtras()
# Mapping of requirement to set of distributions that required it;
# useful for reporting info about conflicts.
required_by = collections.defaultdict(set)
while requirements:
# process dependencies breadth-first
req = requirements.pop(0)
if req in processed:
# Ignore cyclic or redundant dependencies
continue
if not req_extras.markers_pass(req, extras):
continue
dist = best.get(req.key)
if dist is None:
# Find the best distribution and add it to the map
dist = self.by_key.get(req.key)
if dist is None or (dist not in req and replace_conflicting):
ws = self
if env is None:
if dist is None:
env = Environment(self.entries)
else:
# Use an empty environment and workingset to avoid
# any further conflicts with the conflicting
# distribution
env = Environment([])
ws = WorkingSet([])
dist = best[req.key] = env.best_match(
req, ws, installer,
replace_conflicting=replace_conflicting
)
if dist is None:
requirers = required_by.get(req, None)
raise DistributionNotFound(req, requirers)
to_activate.append(dist)
if dist not in req:
# Oops, the "best" so far conflicts with a dependency
dependent_req = required_by[req]
raise VersionConflict(dist, req).with_context(dependent_req)
# push the new requirements onto the stack
new_requirements = dist.requires(req.extras)[::-1]
requirements.extend(new_requirements)
# Register the new requirements needed by req
for new_requirement in new_requirements:
required_by[new_requirement].add(req.project_name)
req_extras[new_requirement] = req.extras
processed[req] = True
# return list of distros to activate
return to_activate | [
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706,
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] | [
796,
26
] | python | en | ['en', 'en', 'en'] | True |
WorkingSet.find_plugins | (
self, plugin_env, full_env=None, installer=None, fallback=True) | Find all activatable distributions in `plugin_env`
Example usage::
distributions, errors = working_set.find_plugins(
Environment(plugin_dirlist)
)
# add plugins+libs to sys.path
map(working_set.add, distributions)
# display errors
print('Could not load', errors)
The `plugin_env` should be an ``Environment`` instance that contains
only distributions that are in the project's "plugin directory" or
directories. The `full_env`, if supplied, should be an ``Environment``
contains all currently-available distributions. If `full_env` is not
supplied, one is created automatically from the ``WorkingSet`` this
method is called on, which will typically mean that every directory on
``sys.path`` will be scanned for distributions.
`installer` is a standard installer callback as used by the
``resolve()`` method. The `fallback` flag indicates whether we should
attempt to resolve older versions of a plugin if the newest version
cannot be resolved.
This method returns a 2-tuple: (`distributions`, `error_info`), where
`distributions` is a list of the distributions found in `plugin_env`
that were loadable, along with any other distributions that are needed
to resolve their dependencies. `error_info` is a dictionary mapping
unloadable plugin distributions to an exception instance describing the
error that occurred. Usually this will be a ``DistributionNotFound`` or
``VersionConflict`` instance.
| Find all activatable distributions in `plugin_env` | def find_plugins(
self, plugin_env, full_env=None, installer=None, fallback=True):
"""Find all activatable distributions in `plugin_env`
Example usage::
distributions, errors = working_set.find_plugins(
Environment(plugin_dirlist)
)
# add plugins+libs to sys.path
map(working_set.add, distributions)
# display errors
print('Could not load', errors)
The `plugin_env` should be an ``Environment`` instance that contains
only distributions that are in the project's "plugin directory" or
directories. The `full_env`, if supplied, should be an ``Environment``
contains all currently-available distributions. If `full_env` is not
supplied, one is created automatically from the ``WorkingSet`` this
method is called on, which will typically mean that every directory on
``sys.path`` will be scanned for distributions.
`installer` is a standard installer callback as used by the
``resolve()`` method. The `fallback` flag indicates whether we should
attempt to resolve older versions of a plugin if the newest version
cannot be resolved.
This method returns a 2-tuple: (`distributions`, `error_info`), where
`distributions` is a list of the distributions found in `plugin_env`
that were loadable, along with any other distributions that are needed
to resolve their dependencies. `error_info` is a dictionary mapping
unloadable plugin distributions to an exception instance describing the
error that occurred. Usually this will be a ``DistributionNotFound`` or
``VersionConflict`` instance.
"""
plugin_projects = list(plugin_env)
# scan project names in alphabetic order
plugin_projects.sort()
error_info = {}
distributions = {}
if full_env is None:
env = Environment(self.entries)
env += plugin_env
else:
env = full_env + plugin_env
shadow_set = self.__class__([])
# put all our entries in shadow_set
list(map(shadow_set.add, self))
for project_name in plugin_projects:
for dist in plugin_env[project_name]:
req = [dist.as_requirement()]
try:
resolvees = shadow_set.resolve(req, env, installer)
except ResolutionError as v:
# save error info
error_info[dist] = v
if fallback:
# try the next older version of project
continue
else:
# give up on this project, keep going
break
else:
list(map(shadow_set.add, resolvees))
distributions.update(dict.fromkeys(resolvees))
# success, no need to try any more versions of this project
break
distributions = list(distributions)
distributions.sort()
return distributions, error_info | [
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] | [
880,
40
] | python | en | ['en', 'en', 'en'] | True |
WorkingSet.require | (self, *requirements) | Ensure that distributions matching `requirements` are activated
`requirements` must be a string or a (possibly-nested) sequence
thereof, specifying the distributions and versions required. The
return value is a sequence of the distributions that needed to be
activated to fulfill the requirements; all relevant distributions are
included, even if they were already activated in this working set.
| Ensure that distributions matching `requirements` are activated | def require(self, *requirements):
"""Ensure that distributions matching `requirements` are activated
`requirements` must be a string or a (possibly-nested) sequence
thereof, specifying the distributions and versions required. The
return value is a sequence of the distributions that needed to be
activated to fulfill the requirements; all relevant distributions are
included, even if they were already activated in this working set.
"""
needed = self.resolve(parse_requirements(requirements))
for dist in needed:
self.add(dist)
return needed | [
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] | python | en | ['en', 'en', 'en'] | True |
WorkingSet.subscribe | (self, callback, existing=True) | Invoke `callback` for all distributions
If `existing=True` (default),
call on all existing ones, as well.
| Invoke `callback` for all distributions | def subscribe(self, callback, existing=True):
"""Invoke `callback` for all distributions
If `existing=True` (default),
call on all existing ones, as well.
"""
if callback in self.callbacks:
return
self.callbacks.append(callback)
if not existing:
return
for dist in self:
callback(dist) | [
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] | python | en | ['en', 'no', 'en'] | True |
_ReqExtras.markers_pass | (self, req, extras=None) |
Evaluate markers for req against each extra that
demanded it.
Return False if the req has a marker and fails
evaluation. Otherwise, return True.
|
Evaluate markers for req against each extra that
demanded it. | def markers_pass(self, req, extras=None):
"""
Evaluate markers for req against each extra that
demanded it.
Return False if the req has a marker and fails
evaluation. Otherwise, return True.
"""
extra_evals = (
req.marker.evaluate({'extra': extra})
for extra in self.get(req, ()) + (extras or (None,))
)
return not req.marker or any(extra_evals) | [
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] | python | en | ['en', 'error', 'th'] | False |
Environment.__init__ | (
self, search_path=None, platform=get_supported_platform(),
python=PY_MAJOR) | Snapshot distributions available on a search path
Any distributions found on `search_path` are added to the environment.
`search_path` should be a sequence of ``sys.path`` items. If not
supplied, ``sys.path`` is used.
`platform` is an optional string specifying the name of the platform
that platform-specific distributions must be compatible with. If
unspecified, it defaults to the current platform. `python` is an
optional string naming the desired version of Python (e.g. ``'3.3'``);
it defaults to the current version.
You may explicitly set `platform` (and/or `python`) to ``None`` if you
wish to map *all* distributions, not just those compatible with the
running platform or Python version.
| Snapshot distributions available on a search path | def __init__(
self, search_path=None, platform=get_supported_platform(),
python=PY_MAJOR):
"""Snapshot distributions available on a search path
Any distributions found on `search_path` are added to the environment.
`search_path` should be a sequence of ``sys.path`` items. If not
supplied, ``sys.path`` is used.
`platform` is an optional string specifying the name of the platform
that platform-specific distributions must be compatible with. If
unspecified, it defaults to the current platform. `python` is an
optional string naming the desired version of Python (e.g. ``'3.3'``);
it defaults to the current version.
You may explicitly set `platform` (and/or `python`) to ``None`` if you
wish to map *all* distributions, not just those compatible with the
running platform or Python version.
"""
self._distmap = {}
self.platform = platform
self.python = python
self.scan(search_path) | [
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953,
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975,
30
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Environment.can_add | (self, dist) | Is distribution `dist` acceptable for this environment?
The distribution must match the platform and python version
requirements specified when this environment was created, or False
is returned.
| Is distribution `dist` acceptable for this environment? | def can_add(self, dist):
"""Is distribution `dist` acceptable for this environment?
The distribution must match the platform and python version
requirements specified when this environment was created, or False
is returned.
"""
py_compat = (
self.python is None
or dist.py_version is None
or dist.py_version == self.python
)
return py_compat and compatible_platforms(dist.platform, self.platform) | [
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Environment.remove | (self, dist) | Remove `dist` from the environment | Remove `dist` from the environment | def remove(self, dist):
"""Remove `dist` from the environment"""
self._distmap[dist.key].remove(dist) | [
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Environment.scan | (self, search_path=None) | Scan `search_path` for distributions usable in this environment
Any distributions found are added to the environment.
`search_path` should be a sequence of ``sys.path`` items. If not
supplied, ``sys.path`` is used. Only distributions conforming to
the platform/python version defined at initialization are added.
| Scan `search_path` for distributions usable in this environment | def scan(self, search_path=None):
"""Scan `search_path` for distributions usable in this environment
Any distributions found are added to the environment.
`search_path` should be a sequence of ``sys.path`` items. If not
supplied, ``sys.path`` is used. Only distributions conforming to
the platform/python version defined at initialization are added.
"""
if search_path is None:
search_path = sys.path
for item in search_path:
for dist in find_distributions(item):
self.add(dist) | [
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Environment.__getitem__ | (self, project_name) | Return a newest-to-oldest list of distributions for `project_name`
Uses case-insensitive `project_name` comparison, assuming all the
project's distributions use their project's name converted to all
lowercase as their key.
| Return a newest-to-oldest list of distributions for `project_name` | def __getitem__(self, project_name):
"""Return a newest-to-oldest list of distributions for `project_name`
Uses case-insensitive `project_name` comparison, assuming all the
project's distributions use their project's name converted to all
lowercase as their key.
"""
distribution_key = project_name.lower()
return self._distmap.get(distribution_key, []) | [
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Environment.add | (self, dist) | Add `dist` if we ``can_add()`` it and it has not already been added
| Add `dist` if we ``can_add()`` it and it has not already been added
| def add(self, dist):
"""Add `dist` if we ``can_add()`` it and it has not already been added
"""
if self.can_add(dist) and dist.has_version():
dists = self._distmap.setdefault(dist.key, [])
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dists.append(dist)
dists.sort(key=operator.attrgetter('hashcmp'), reverse=True) | [
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Environment.best_match | (
self, req, working_set, installer=None, replace_conflicting=False) | Find distribution best matching `req` and usable on `working_set`
This calls the ``find(req)`` method of the `working_set` to see if a
suitable distribution is already active. (This may raise
``VersionConflict`` if an unsuitable version of the project is already
active in the specified `working_set`.) If a suitable distribution
isn't active, this method returns the newest distribution in the
environment that meets the ``Requirement`` in `req`. If no suitable
distribution is found, and `installer` is supplied, then the result of
calling the environment's ``obtain(req, installer)`` method will be
returned.
| Find distribution best matching `req` and usable on `working_set` | def best_match(
self, req, working_set, installer=None, replace_conflicting=False):
"""Find distribution best matching `req` and usable on `working_set`
This calls the ``find(req)`` method of the `working_set` to see if a
suitable distribution is already active. (This may raise
``VersionConflict`` if an unsuitable version of the project is already
active in the specified `working_set`.) If a suitable distribution
isn't active, this method returns the newest distribution in the
environment that meets the ``Requirement`` in `req`. If no suitable
distribution is found, and `installer` is supplied, then the result of
calling the environment's ``obtain(req, installer)`` method will be
returned.
"""
try:
dist = working_set.find(req)
except VersionConflict:
if not replace_conflicting:
raise
dist = None
if dist is not None:
return dist
for dist in self[req.key]:
if dist in req:
return dist
# try to download/install
return self.obtain(req, installer) | [
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Environment.obtain | (self, requirement, installer=None) | Obtain a distribution matching `requirement` (e.g. via download)
Obtain a distro that matches requirement (e.g. via download). In the
base ``Environment`` class, this routine just returns
``installer(requirement)``, unless `installer` is None, in which case
None is returned instead. This method is a hook that allows subclasses
to attempt other ways of obtaining a distribution before falling back
to the `installer` argument. | Obtain a distribution matching `requirement` (e.g. via download) | def obtain(self, requirement, installer=None):
"""Obtain a distribution matching `requirement` (e.g. via download)
Obtain a distro that matches requirement (e.g. via download). In the
base ``Environment`` class, this routine just returns
``installer(requirement)``, unless `installer` is None, in which case
None is returned instead. This method is a hook that allows subclasses
to attempt other ways of obtaining a distribution before falling back
to the `installer` argument."""
if installer is not None:
return installer(requirement) | [
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Environment.__iter__ | (self) | Yield the unique project names of the available distributions | Yield the unique project names of the available distributions | def __iter__(self):
"""Yield the unique project names of the available distributions"""
for key in self._distmap.keys():
if self[key]:
yield key | [
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Environment.__iadd__ | (self, other) | In-place addition of a distribution or environment | In-place addition of a distribution or environment | def __iadd__(self, other):
"""In-place addition of a distribution or environment"""
if isinstance(other, Distribution):
self.add(other)
elif isinstance(other, Environment):
for project in other:
for dist in other[project]:
self.add(dist)
else:
raise TypeError("Can't add %r to environment" % (other,))
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Environment.__add__ | (self, other) | Add an environment or distribution to an environment | Add an environment or distribution to an environment | def __add__(self, other):
"""Add an environment or distribution to an environment"""
new = self.__class__([], platform=None, python=None)
for env in self, other:
new += env
return new | [
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ResourceManager.resource_exists | (self, package_or_requirement, resource_name) | Does the named resource exist? | Does the named resource exist? | def resource_exists(self, package_or_requirement, resource_name):
"""Does the named resource exist?"""
return get_provider(package_or_requirement).has_resource(resource_name) | [
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ResourceManager.resource_isdir | (self, package_or_requirement, resource_name) | Is the named resource an existing directory? | Is the named resource an existing directory? | def resource_isdir(self, package_or_requirement, resource_name):
"""Is the named resource an existing directory?"""
return get_provider(package_or_requirement).resource_isdir(
resource_name
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ResourceManager.resource_filename | (self, package_or_requirement, resource_name) | Return a true filesystem path for specified resource | Return a true filesystem path for specified resource | def resource_filename(self, package_or_requirement, resource_name):
"""Return a true filesystem path for specified resource"""
return get_provider(package_or_requirement).get_resource_filename(
self, resource_name
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ResourceManager.resource_stream | (self, package_or_requirement, resource_name) | Return a readable file-like object for specified resource | Return a readable file-like object for specified resource | def resource_stream(self, package_or_requirement, resource_name):
"""Return a readable file-like object for specified resource"""
return get_provider(package_or_requirement).get_resource_stream(
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ResourceManager.resource_string | (self, package_or_requirement, resource_name) | Return specified resource as a string | Return specified resource as a string | def resource_string(self, package_or_requirement, resource_name):
"""Return specified resource as a string"""
return get_provider(package_or_requirement).get_resource_string(
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ResourceManager.resource_listdir | (self, package_or_requirement, resource_name) | List the contents of the named resource directory | List the contents of the named resource directory | def resource_listdir(self, package_or_requirement, resource_name):
"""List the contents of the named resource directory"""
return get_provider(package_or_requirement).resource_listdir(
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ResourceManager.extraction_error | (self) | Give an error message for problems extracting file(s) | Give an error message for problems extracting file(s) | def extraction_error(self):
"""Give an error message for problems extracting file(s)"""
old_exc = sys.exc_info()[1]
cache_path = self.extraction_path or get_default_cache()
tmpl = textwrap.dedent("""
Can't extract file(s) to egg cache
The following error occurred while trying to extract file(s)
to the Python egg cache:
{old_exc}
The Python egg cache directory is currently set to:
{cache_path}
Perhaps your account does not have write access to this directory?
You can change the cache directory by setting the PYTHON_EGG_CACHE
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""").lstrip()
err = ExtractionError(tmpl.format(**locals()))
err.manager = self
err.cache_path = cache_path
err.original_error = old_exc
raise err | [
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ResourceManager.get_cache_path | (self, archive_name, names=()) | Return absolute location in cache for `archive_name` and `names`
The parent directory of the resulting path will be created if it does
not already exist. `archive_name` should be the base filename of the
enclosing egg (which may not be the name of the enclosing zipfile!),
including its ".egg" extension. `names`, if provided, should be a
sequence of path name parts "under" the egg's extraction location.
This method should only be called by resource providers that need to
obtain an extraction location, and only for names they intend to
extract, as it tracks the generated names for possible cleanup later.
| Return absolute location in cache for `archive_name` and `names` | def get_cache_path(self, archive_name, names=()):
"""Return absolute location in cache for `archive_name` and `names`
The parent directory of the resulting path will be created if it does
not already exist. `archive_name` should be the base filename of the
enclosing egg (which may not be the name of the enclosing zipfile!),
including its ".egg" extension. `names`, if provided, should be a
sequence of path name parts "under" the egg's extraction location.
This method should only be called by resource providers that need to
obtain an extraction location, and only for names they intend to
extract, as it tracks the generated names for possible cleanup later.
"""
extract_path = self.extraction_path or get_default_cache()
target_path = os.path.join(extract_path, archive_name + '-tmp', *names)
try:
_bypass_ensure_directory(target_path)
except Exception:
self.extraction_error()
self._warn_unsafe_extraction_path(extract_path)
self.cached_files[target_path] = 1
return target_path | [
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ResourceManager._warn_unsafe_extraction_path | (path) |
If the default extraction path is overridden and set to an insecure
location, such as /tmp, it opens up an opportunity for an attacker to
replace an extracted file with an unauthorized payload. Warn the user
if a known insecure location is used.
See Distribute #375 for more details.
|
If the default extraction path is overridden and set to an insecure
location, such as /tmp, it opens up an opportunity for an attacker to
replace an extracted file with an unauthorized payload. Warn the user
if a known insecure location is used. | def _warn_unsafe_extraction_path(path):
"""
If the default extraction path is overridden and set to an insecure
location, such as /tmp, it opens up an opportunity for an attacker to
replace an extracted file with an unauthorized payload. Warn the user
if a known insecure location is used.
See Distribute #375 for more details.
"""
if os.name == 'nt' and not path.startswith(os.environ['windir']):
# On Windows, permissions are generally restrictive by default
# and temp directories are not writable by other users, so
# bypass the warning.
return
mode = os.stat(path).st_mode
if mode & stat.S_IWOTH or mode & stat.S_IWGRP:
msg = (
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"when "
"used with get_resource_filename. Consider a more secure "
"location (set with .set_extraction_path or the "
"PYTHON_EGG_CACHE environment variable)." % path
)
warnings.warn(msg, UserWarning) | [
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1234,
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] | python | en | ['en', 'error', 'th'] | False |
ResourceManager.postprocess | (self, tempname, filename) | Perform any platform-specific postprocessing of `tempname`
This is where Mac header rewrites should be done; other platforms don't
have anything special they should do.
Resource providers should call this method ONLY after successfully
extracting a compressed resource. They must NOT call it on resources
that are already in the filesystem.
`tempname` is the current (temporary) name of the file, and `filename`
is the name it will be renamed to by the caller after this routine
returns.
| Perform any platform-specific postprocessing of `tempname` | def postprocess(self, tempname, filename):
"""Perform any platform-specific postprocessing of `tempname`
This is where Mac header rewrites should be done; other platforms don't
have anything special they should do.
Resource providers should call this method ONLY after successfully
extracting a compressed resource. They must NOT call it on resources
that are already in the filesystem.
`tempname` is the current (temporary) name of the file, and `filename`
is the name it will be renamed to by the caller after this routine
returns.
"""
if os.name == 'posix':
# Make the resource executable
mode = ((os.stat(tempname).st_mode) | 0o555) & 0o7777
os.chmod(tempname, mode) | [
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1254,
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ResourceManager.set_extraction_path | (self, path) | Set the base path where resources will be extracted to, if needed.
If you do not call this routine before any extractions take place, the
path defaults to the return value of ``get_default_cache()``. (Which
is based on the ``PYTHON_EGG_CACHE`` environment variable, with various
platform-specific fallbacks. See that routine's documentation for more
details.)
Resources are extracted to subdirectories of this path based upon
information given by the ``IResourceProvider``. You may set this to a
temporary directory, but then you must call ``cleanup_resources()`` to
delete the extracted files when done. There is no guarantee that
``cleanup_resources()`` will be able to remove all extracted files.
(Note: you may not change the extraction path for a given resource
manager once resources have been extracted, unless you first call
``cleanup_resources()``.)
| Set the base path where resources will be extracted to, if needed. | def set_extraction_path(self, path):
"""Set the base path where resources will be extracted to, if needed.
If you do not call this routine before any extractions take place, the
path defaults to the return value of ``get_default_cache()``. (Which
is based on the ``PYTHON_EGG_CACHE`` environment variable, with various
platform-specific fallbacks. See that routine's documentation for more
details.)
Resources are extracted to subdirectories of this path based upon
information given by the ``IResourceProvider``. You may set this to a
temporary directory, but then you must call ``cleanup_resources()`` to
delete the extracted files when done. There is no guarantee that
``cleanup_resources()`` will be able to remove all extracted files.
(Note: you may not change the extraction path for a given resource
manager once resources have been extracted, unless you first call
``cleanup_resources()``.)
"""
if self.cached_files:
raise ValueError(
"Can't change extraction path, files already extracted"
)
self.extraction_path = path | [
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ResourceManager.cleanup_resources | (self, force=False) |
Delete all extracted resource files and directories, returning a list
of the file and directory names that could not be successfully removed.
This function does not have any concurrency protection, so it should
generally only be called when the extraction path is a temporary
directory exclusive to a single process. This method is not
automatically called; you must call it explicitly or register it as an
``atexit`` function if you wish to ensure cleanup of a temporary
directory used for extractions.
|
Delete all extracted resource files and directories, returning a list
of the file and directory names that could not be successfully removed.
This function does not have any concurrency protection, so it should
generally only be called when the extraction path is a temporary
directory exclusive to a single process. This method is not
automatically called; you must call it explicitly or register it as an
``atexit`` function if you wish to ensure cleanup of a temporary
directory used for extractions.
| def cleanup_resources(self, force=False):
"""
Delete all extracted resource files and directories, returning a list
of the file and directory names that could not be successfully removed.
This function does not have any concurrency protection, so it should
generally only be called when the extraction path is a temporary
directory exclusive to a single process. This method is not
automatically called; you must call it explicitly or register it as an
``atexit`` function if you wish to ensure cleanup of a temporary
directory used for extractions.
""" | [
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ZipManifests.build | (cls, path) |
Build a dictionary similar to the zipimport directory
caches, except instead of tuples, store ZipInfo objects.
Use a platform-specific path separator (os.sep) for the path keys
for compatibility with pypy on Windows.
|
Build a dictionary similar to the zipimport directory
caches, except instead of tuples, store ZipInfo objects. | def build(cls, path):
"""
Build a dictionary similar to the zipimport directory
caches, except instead of tuples, store ZipInfo objects.
Use a platform-specific path separator (os.sep) for the path keys
for compatibility with pypy on Windows.
"""
with zipfile.ZipFile(path) as zfile:
items = (
(
name.replace('/', os.sep),
zfile.getinfo(name),
)
for name in zfile.namelist()
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return dict(items) | [
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MemoizedZipManifests.load | (self, path) |
Load a manifest at path or return a suitable manifest already loaded.
|
Load a manifest at path or return a suitable manifest already loaded.
| def load(self, path):
"""
Load a manifest at path or return a suitable manifest already loaded.
"""
path = os.path.normpath(path)
mtime = os.stat(path).st_mtime
if path not in self or self[path].mtime != mtime:
manifest = self.build(path)
self[path] = self.manifest_mod(manifest, mtime)
return self[path].manifest | [
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ZipProvider._is_current | (self, file_path, zip_path) |
Return True if the file_path is current for this zip_path
|
Return True if the file_path is current for this zip_path
| def _is_current(self, file_path, zip_path):
"""
Return True if the file_path is current for this zip_path
"""
timestamp, size = self._get_date_and_size(self.zipinfo[zip_path])
if not os.path.isfile(file_path):
return False
stat = os.stat(file_path)
if stat.st_size != size or stat.st_mtime != timestamp:
return False
# check that the contents match
zip_contents = self.loader.get_data(zip_path)
with open(file_path, 'rb') as f:
file_contents = f.read()
return zip_contents == file_contents | [
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EggMetadata.__init__ | (self, importer) | Create a metadata provider from a zipimporter | Create a metadata provider from a zipimporter | def __init__(self, importer):
"""Create a metadata provider from a zipimporter"""
self.zip_pre = importer.archive + os.sep
self.loader = importer
if importer.prefix:
self.module_path = os.path.join(importer.archive, importer.prefix)
else:
self.module_path = importer.archive
self._setup_prefix() | [
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EntryPoint.load | (self, require=True, *args, **kwargs) |
Require packages for this EntryPoint, then resolve it.
|
Require packages for this EntryPoint, then resolve it.
| def load(self, require=True, *args, **kwargs):
"""
Require packages for this EntryPoint, then resolve it.
"""
if not require or args or kwargs:
warnings.warn(
"Parameters to load are deprecated. Call .resolve and "
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EntryPoint.resolve | (self) |
Resolve the entry point from its module and attrs.
|
Resolve the entry point from its module and attrs.
| def resolve(self):
"""
Resolve the entry point from its module and attrs.
"""
module = __import__(self.module_name, fromlist=['__name__'], level=0)
try:
return functools.reduce(getattr, self.attrs, module)
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EntryPoint.parse | (cls, src, dist=None) | Parse a single entry point from string `src`
Entry point syntax follows the form::
name = some.module:some.attr [extra1, extra2]
The entry name and module name are required, but the ``:attrs`` and
``[extras]`` parts are optional
| Parse a single entry point from string `src` | def parse(cls, src, dist=None):
"""Parse a single entry point from string `src`
Entry point syntax follows the form::
name = some.module:some.attr [extra1, extra2]
The entry name and module name are required, but the ``:attrs`` and
``[extras]`` parts are optional
"""
m = cls.pattern.match(src)
if not m:
msg = "EntryPoint must be in 'name=module:attrs [extras]' format"
raise ValueError(msg, src)
res = m.groupdict()
extras = cls._parse_extras(res['extras'])
attrs = res['attr'].split('.') if res['attr'] else ()
return cls(res['name'], res['module'], attrs, extras, dist) | [
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EntryPoint.parse_group | (cls, group, lines, dist=None) | Parse an entry point group | Parse an entry point group | def parse_group(cls, group, lines, dist=None):
"""Parse an entry point group"""
if not MODULE(group):
raise ValueError("Invalid group name", group)
this = {}
for line in yield_lines(lines):
ep = cls.parse(line, dist)
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this[ep.name] = ep
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EntryPoint.parse_map | (cls, data, dist=None) | Parse a map of entry point groups | Parse a map of entry point groups | def parse_map(cls, data, dist=None):
"""Parse a map of entry point groups"""
if isinstance(data, dict):
data = data.items()
else:
data = split_sections(data)
maps = {}
for group, lines in data:
if group is None:
if not lines:
continue
raise ValueError("Entry points must be listed in groups")
group = group.strip()
if group in maps:
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maps[group] = cls.parse_group(group, lines, dist)
return maps | [
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Distribution._dep_map | (self) |
A map of extra to its list of (direct) requirements
for this distribution, including the null extra.
|
A map of extra to its list of (direct) requirements
for this distribution, including the null extra.
| def _dep_map(self):
"""
A map of extra to its list of (direct) requirements
for this distribution, including the null extra.
"""
try:
return self.__dep_map
except AttributeError:
self.__dep_map = self._filter_extras(self._build_dep_map())
return self.__dep_map | [
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Distribution._filter_extras | (dm) |
Given a mapping of extras to dependencies, strip off
environment markers and filter out any dependencies
not matching the markers.
|
Given a mapping of extras to dependencies, strip off
environment markers and filter out any dependencies
not matching the markers.
| def _filter_extras(dm):
"""
Given a mapping of extras to dependencies, strip off
environment markers and filter out any dependencies
not matching the markers.
"""
for extra in list(filter(None, dm)):
new_extra = extra
reqs = dm.pop(extra)
new_extra, _, marker = extra.partition(':')
fails_marker = marker and (
invalid_marker(marker)
or not evaluate_marker(marker)
)
if fails_marker:
reqs = []
new_extra = safe_extra(new_extra) or None
dm.setdefault(new_extra, []).extend(reqs)
return dm | [
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2582,
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] | [
2601,
17
] | python | en | ['en', 'error', 'th'] | False |
Distribution.requires | (self, extras=()) | List of Requirements needed for this distro if `extras` are used | List of Requirements needed for this distro if `extras` are used | def requires(self, extras=()):
"""List of Requirements needed for this distro if `extras` are used"""
dm = self._dep_map
deps = []
deps.extend(dm.get(None, ()))
for ext in extras:
try:
deps.extend(dm[safe_extra(ext)])
except KeyError:
raise UnknownExtra(
"%s has no such extra feature %r" % (self, ext)
)
return deps | [
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] | [
2622,
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] | python | en | ['en', 'en', 'en'] | True |
Distribution.activate | (self, path=None, replace=False) | Ensure distribution is importable on `path` (default=sys.path) | Ensure distribution is importable on `path` (default=sys.path) | def activate(self, path=None, replace=False):
"""Ensure distribution is importable on `path` (default=sys.path)"""
if path is None:
path = sys.path
self.insert_on(path, replace=replace)
if path is sys.path:
fixup_namespace_packages(self.location)
for pkg in self._get_metadata('namespace_packages.txt'):
if pkg in sys.modules:
declare_namespace(pkg) | [
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] | [
2638,
42
] | python | en | ['en', 'en', 'en'] | True |
Distribution.egg_name | (self) | Return what this distribution's standard .egg filename should be | Return what this distribution's standard .egg filename should be | def egg_name(self):
"""Return what this distribution's standard .egg filename should be"""
filename = "%s-%s-py%s" % (
to_filename(self.project_name), to_filename(self.version),
self.py_version or PY_MAJOR
)
if self.platform:
filename += '-' + self.platform
return filename | [
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] | [
2649,
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] | python | en | ['en', 'en', 'en'] | True |
Distribution.__getattr__ | (self, attr) | Delegate all unrecognized public attributes to .metadata provider | Delegate all unrecognized public attributes to .metadata provider | def __getattr__(self, attr):
"""Delegate all unrecognized public attributes to .metadata provider"""
if attr.startswith('_'):
raise AttributeError(attr)
return getattr(self._provider, attr) | [
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] | [
2669,
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] | python | en | ['en', 'it', 'en'] | True |
Distribution.as_requirement | (self) | Return a ``Requirement`` that matches this distribution exactly | Return a ``Requirement`` that matches this distribution exactly | def as_requirement(self):
"""Return a ``Requirement`` that matches this distribution exactly"""
if isinstance(self.parsed_version, packaging.version.Version):
spec = "%s==%s" % (self.project_name, self.parsed_version)
else:
spec = "%s===%s" % (self.project_name, self.parsed_version)
return Requirement.parse(spec) | [
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] | [
2685,
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] | python | en | ['en', 'en', 'en'] | True |
Distribution.load_entry_point | (self, group, name) | Return the `name` entry point of `group` or raise ImportError | Return the `name` entry point of `group` or raise ImportError | def load_entry_point(self, group, name):
"""Return the `name` entry point of `group` or raise ImportError"""
ep = self.get_entry_info(group, name)
if ep is None:
raise ImportError("Entry point %r not found" % ((group, name),))
return ep.load() | [
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] | python | en | ['en', 'en', 'en'] | True |
Distribution.get_entry_map | (self, group=None) | Return the entry point map for `group`, or the full entry map | Return the entry point map for `group`, or the full entry map | def get_entry_map(self, group=None):
"""Return the entry point map for `group`, or the full entry map"""
try:
ep_map = self._ep_map
except AttributeError:
ep_map = self._ep_map = EntryPoint.parse_map(
self._get_metadata('entry_points.txt'), self
)
if group is not None:
return ep_map.get(group, {})
return ep_map | [
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] | [
2704,
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] | python | en | ['en', 'en', 'en'] | True |
Distribution.get_entry_info | (self, group, name) | Return the EntryPoint object for `group`+`name`, or ``None`` | Return the EntryPoint object for `group`+`name`, or ``None`` | def get_entry_info(self, group, name):
"""Return the EntryPoint object for `group`+`name`, or ``None``"""
return self.get_entry_map(group).get(name) | [
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2706,
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2708,
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] | python | en | ['en', 'en', 'en'] | True |
Distribution.insert_on | (self, path, loc=None, replace=False) | Ensure self.location is on path
If replace=False (default):
- If location is already in path anywhere, do nothing.
- Else:
- If it's an egg and its parent directory is on path,
insert just ahead of the parent.
- Else: add to the end of path.
If replace=True:
- If location is already on path anywhere (not eggs)
or higher priority than its parent (eggs)
do nothing.
- Else:
- If it's an egg and its parent directory is on path,
insert just ahead of the parent,
removing any lower-priority entries.
- Else: add it to the front of path.
| Ensure self.location is on path | def insert_on(self, path, loc=None, replace=False):
"""Ensure self.location is on path
If replace=False (default):
- If location is already in path anywhere, do nothing.
- Else:
- If it's an egg and its parent directory is on path,
insert just ahead of the parent.
- Else: add to the end of path.
If replace=True:
- If location is already on path anywhere (not eggs)
or higher priority than its parent (eggs)
do nothing.
- Else:
- If it's an egg and its parent directory is on path,
insert just ahead of the parent,
removing any lower-priority entries.
- Else: add it to the front of path.
"""
loc = loc or self.location
if not loc:
return
nloc = _normalize_cached(loc)
bdir = os.path.dirname(nloc)
npath = [(p and _normalize_cached(p) or p) for p in path]
for p, item in enumerate(npath):
if item == nloc:
if replace:
break
else:
# don't modify path (even removing duplicates) if
# found and not replace
return
elif item == bdir and self.precedence == EGG_DIST:
# if it's an .egg, give it precedence over its directory
# UNLESS it's already been added to sys.path and replace=False
if (not replace) and nloc in npath[p:]:
return
if path is sys.path:
self.check_version_conflict()
path.insert(p, loc)
npath.insert(p, nloc)
break
else:
if path is sys.path:
self.check_version_conflict()
if replace:
path.insert(0, loc)
else:
path.append(loc)
return
# p is the spot where we found or inserted loc; now remove duplicates
while True:
try:
np = npath.index(nloc, p + 1)
except ValueError:
break
else:
del npath[np], path[np]
# ha!
p = np
return | [
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2710,
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] | [
2776,
14
] | python | en | ['en', 'en', 'en'] | True |
Distribution.clone | (self, **kw) | Copy this distribution, substituting in any changed keyword args | Copy this distribution, substituting in any changed keyword args | def clone(self, **kw):
"""Copy this distribution, substituting in any changed keyword args"""
names = 'project_name version py_version platform location precedence'
for attr in names.split():
kw.setdefault(attr, getattr(self, attr, None))
kw.setdefault('metadata', self._provider)
return self.__class__(**kw) | [
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2814,
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] | python | en | ['en', 'en', 'en'] | True |
EggInfoDistribution._reload_version | (self) |
Packages installed by distutils (e.g. numpy or scipy),
which uses an old safe_version, and so
their version numbers can get mangled when
converted to filenames (e.g., 1.11.0.dev0+2329eae to
1.11.0.dev0_2329eae). These distributions will not be
parsed properly
downstream by Distribution and safe_version, so
take an extra step and try to get the version number from
the metadata file itself instead of the filename.
|
Packages installed by distutils (e.g. numpy or scipy),
which uses an old safe_version, and so
their version numbers can get mangled when
converted to filenames (e.g., 1.11.0.dev0+2329eae to
1.11.0.dev0_2329eae). These distributions will not be
parsed properly
downstream by Distribution and safe_version, so
take an extra step and try to get the version number from
the metadata file itself instead of the filename.
| def _reload_version(self):
"""
Packages installed by distutils (e.g. numpy or scipy),
which uses an old safe_version, and so
their version numbers can get mangled when
converted to filenames (e.g., 1.11.0.dev0+2329eae to
1.11.0.dev0_2329eae). These distributions will not be
parsed properly
downstream by Distribution and safe_version, so
take an extra step and try to get the version number from
the metadata file itself instead of the filename.
"""
md_version = _version_from_file(self._get_metadata(self.PKG_INFO))
if md_version:
self._version = md_version
return self | [
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2837,
19
] | python | en | ['en', 'error', 'th'] | False |
DistInfoDistribution._parsed_pkg_info | (self) | Parse and cache metadata | Parse and cache metadata | def _parsed_pkg_info(self):
"""Parse and cache metadata"""
try:
return self._pkg_info
except AttributeError:
metadata = self.get_metadata(self.PKG_INFO)
self._pkg_info = email.parser.Parser().parsestr(metadata)
return self._pkg_info | [
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2856,
33
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DistInfoDistribution._compute_dependencies | (self) | Recompute this distribution's dependencies. | Recompute this distribution's dependencies. | def _compute_dependencies(self):
"""Recompute this distribution's dependencies."""
dm = self.__dep_map = {None: []}
reqs = []
# Including any condition expressions
for req in self._parsed_pkg_info.get_all('Requires-Dist') or []:
reqs.extend(parse_requirements(req))
def reqs_for_extra(extra):
for req in reqs:
if not req.marker or req.marker.evaluate({'extra': extra}):
yield req
common = frozenset(reqs_for_extra(None))
dm[None].extend(common)
for extra in self._parsed_pkg_info.get_all('Provides-Extra') or []:
s_extra = safe_extra(extra.strip())
dm[s_extra] = list(frozenset(reqs_for_extra(extra)) - common)
return dm | [
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2866,
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2887,
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Requirement.__init__ | (self, requirement_string) | DO NOT CALL THIS UNDOCUMENTED METHOD; use Requirement.parse()! | DO NOT CALL THIS UNDOCUMENTED METHOD; use Requirement.parse()! | def __init__(self, requirement_string):
"""DO NOT CALL THIS UNDOCUMENTED METHOD; use Requirement.parse()!"""
try:
super(Requirement, self).__init__(requirement_string)
except packaging.requirements.InvalidRequirement as e:
raise RequirementParseError(str(e))
self.unsafe_name = self.name
project_name = safe_name(self.name)
self.project_name, self.key = project_name, project_name.lower()
self.specs = [
(spec.operator, spec.version) for spec in self.specifier]
self.extras = tuple(map(safe_extra, self.extras))
self.hashCmp = (
self.key,
self.specifier,
frozenset(self.extras),
str(self.marker) if self.marker else None,
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self.__hash = hash(self.hashCmp) | [
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2956,
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conv2DBatchNorm | (inputs, filters=128, kernel_size=(2, 2), activation=ACTIVATION, name=None) |
Convolution 2D with BatchNormalization and activation
:param inputs: input to the layer
:param filters: number of filters from convoltuion, defaults to 128
:param kernel_size: kernel for convolution, defaults to (2, 2)
:param name: name of the scope
:return: output from convolution layer
|
Convolution 2D with BatchNormalization and activation
:param inputs: input to the layer
:param filters: number of filters from convoltuion, defaults to 128
:param kernel_size: kernel for convolution, defaults to (2, 2)
:param name: name of the scope
:return: output from convolution layer
| def conv2DBatchNorm(inputs, filters=128, kernel_size=(2, 2), activation=ACTIVATION, name=None):
"""
Convolution 2D with BatchNormalization and activation
:param inputs: input to the layer
:param filters: number of filters from convoltuion, defaults to 128
:param kernel_size: kernel for convolution, defaults to (2, 2)
:param name: name of the scope
:return: output from convolution layer
"""
with tf.name_scope(name) as scope:
layer = tf.keras.layers.Conv2D(
filters, kernel_size, padding="same", kernel_initializer=KERNEL_INIT, use_bias=False
)(inputs)
layer = BatchNormalization()(layer)
layer = tf.keras.layers.Activation(activation, name=name)(layer)
return layer | [
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] | python | en | ['en', 'error', 'th'] | False |
deformConv2D | (inputs, filters=64, kernel_size=(4, 4), strides=(2, 2), activation=ACTIVATION, name=None) |
Apply deformable with conv2d transpose on inputs.
:param inputs: input from upper layer
:param filters: numbere of filters, defaults to 64
:param kernel_size: kernel size, defaults to (4, 4)
:param strides: kernel strides, defaults to (2, 2)
:param activation: relu activation, defaults to ACTIVATION
:param name: name of the scope, defaults to None
:return: output from sequence of layers
|
Apply deformable with conv2d transpose on inputs.
:param inputs: input from upper layer
:param filters: numbere of filters, defaults to 64
:param kernel_size: kernel size, defaults to (4, 4)
:param strides: kernel strides, defaults to (2, 2)
:param activation: relu activation, defaults to ACTIVATION
:param name: name of the scope, defaults to None
:return: output from sequence of layers
| def deformConv2D(inputs, filters=64, kernel_size=(4, 4), strides=(2, 2), activation=ACTIVATION, name=None):
"""
Apply deformable with conv2d transpose on inputs.
:param inputs: input from upper layer
:param filters: numbere of filters, defaults to 64
:param kernel_size: kernel size, defaults to (4, 4)
:param strides: kernel strides, defaults to (2, 2)
:param activation: relu activation, defaults to ACTIVATION
:param name: name of the scope, defaults to None
:return: output from sequence of layers
"""
from tensorflow_addons.layers.deformable_conv2d import DeformableConv2D
with tf.name_scope(name) as scope:
fc = DeformableConv2D(
filters,
kernel_size=(3, 3),
strides=(1, 1),
use_bias=False,
padding="same",
kernel_initializer=KERNEL_INIT,
kernel_regularizer=tf.keras.regularizers.l2(L2_REG),
)(inputs)
layer = BatchNormalization()(fc)
layer = tf.keras.layers.Activation(activation)(layer)
up = tf.keras.layers.Conv2DTranspose(
filters,
kernel_size,
strides=strides,
padding="same",
use_bias=False,
kernel_initializer=KERNEL_INIT,
kernel_regularizer=tf.keras.regularizers.l2(L2_REG),
)(layer)
layer = BatchNormalization()(up)
layer = tf.keras.layers.Activation(activation)(layer)
return layer | [
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61,
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] | python | en | ['en', 'error', 'th'] | False |
deformConv2DShortcut | (
inputs,
shortcut,
shortcut_number,
filters=64,
kernel_size=(3, 3),
strides=(1, 1),
activation=ACTIVATION,
mode=None,
name=None,
) |
Similar to TTF Net, we are merging deformable conv2d with shortcut connections from backbone.
:param inputs: input to the deformable convolution
:param shortcut: output from backbone
:param shortcut_number: how many layers we should apply before merging shortuct with deformable convolution
:param filters: number of filters to compute, defaults to 64
:param kernel_size: conv kernel size, defaults to (3, 3)
:param strides: conv strides, defaults to (1, 1)
:param activation: name of activation layer,
:param mode: concat or sum, defaults to "sum" (ttfnet)
:param name: name of the scope, defaults to None
:return: output from sequence of layers
|
Similar to TTF Net, we are merging deformable conv2d with shortcut connections from backbone.
:param inputs: input to the deformable convolution
:param shortcut: output from backbone
:param shortcut_number: how many layers we should apply before merging shortuct with deformable convolution
:param filters: number of filters to compute, defaults to 64
:param kernel_size: conv kernel size, defaults to (3, 3)
:param strides: conv strides, defaults to (1, 1)
:param activation: name of activation layer,
:param mode: concat or sum, defaults to "sum" (ttfnet)
:param name: name of the scope, defaults to None
:return: output from sequence of layers
| def deformConv2DShortcut(
inputs,
shortcut,
shortcut_number,
filters=64,
kernel_size=(3, 3),
strides=(1, 1),
activation=ACTIVATION,
mode=None,
name=None,
):
"""
Similar to TTF Net, we are merging deformable conv2d with shortcut connections from backbone.
:param inputs: input to the deformable convolution
:param shortcut: output from backbone
:param shortcut_number: how many layers we should apply before merging shortuct with deformable convolution
:param filters: number of filters to compute, defaults to 64
:param kernel_size: conv kernel size, defaults to (3, 3)
:param strides: conv strides, defaults to (1, 1)
:param activation: name of activation layer,
:param mode: concat or sum, defaults to "sum" (ttfnet)
:param name: name of the scope, defaults to None
:return: output from sequence of layers
"""
from tensorflow_addons.layers.deformable_conv2d import DeformableConv2D
filters = int(filters)
with tf.name_scope(name) as scope:
dcn = DeformableConv2D(
filters,
kernel_size=kernel_size,
strides=strides,
padding="same",
use_bias=False,
kernel_initializer=KERNEL_INIT,
kernel_regularizer=tf.keras.regularizers.l2(L2_REG),
)(inputs)
dcn = BatchNormalization()(dcn)
dcn = tf.keras.layers.Activation(activation)(dcn)
dcn = tf.keras.layers.UpSampling2D(interpolation="bilinear")(dcn)
# shortcut from backbone
for i in range(shortcut_number):
bias = False if i < (shortcut_number - 1) or mode == XModelMode.DCNSHORTCUTCONCAT else True
shortcut = tf.keras.layers.Conv2D(
filters,
kernel_size=kernel_size,
strides=strides,
padding="same",
use_bias=bias,
kernel_initializer=KERNEL_INIT,
kernel_regularizer=tf.keras.regularizers.l2(L2_REG),
)(shortcut)
# do not call activation layer on the last output from shortcut
if i < (shortcut_number - 1) or mode == XModelMode.DCNSHORTCUTCONCAT:
shortcut = BatchNormalization()(shortcut)
shortcut = tf.keras.layers.Activation(activation)(shortcut)
if mode == XModelMode.DCNSHORTCUTCONCAT:
return tf.keras.layers.Concatenate()([dcn, shortcut])
return dcn + shortcut | [
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deConv2DBatchNorm | (inputs, filters=128, kernel_size=(2, 2), strides=(2, 2), activation=ACTIVATION, name=None) |
Deconvolution with BatchNormalization and activation
:param inputs: input to the layer
:param filters: number of filters from convoltuion, defaults to 128
:param kernel_size: kernel for convolution, defaults to (2, 2)
:param strides: strides of convolution, defaults to (2, 2)
:param name: name of the scope
:return: output deconvolution layer
|
Deconvolution with BatchNormalization and activation
:param inputs: input to the layer
:param filters: number of filters from convoltuion, defaults to 128
:param kernel_size: kernel for convolution, defaults to (2, 2)
:param strides: strides of convolution, defaults to (2, 2)
:param name: name of the scope
:return: output deconvolution layer
| def deConv2DBatchNorm(inputs, filters=128, kernel_size=(2, 2), strides=(2, 2), activation=ACTIVATION, name=None):
"""
Deconvolution with BatchNormalization and activation
:param inputs: input to the layer
:param filters: number of filters from convoltuion, defaults to 128
:param kernel_size: kernel for convolution, defaults to (2, 2)
:param strides: strides of convolution, defaults to (2, 2)
:param name: name of the scope
:return: output deconvolution layer
"""
with tf.name_scope(name) as scope:
layer = tf.keras.layers.Conv2DTranspose(
filters,
kernel_size,
strides=strides,
padding="same",
use_bias=False,
kernel_initializer=KERNEL_INIT,
kernel_regularizer=tf.keras.regularizers.l2(L2_REG),
)(inputs)
layer = BatchNormalization()(layer)
layer = tf.keras.layers.Activation(activation)(layer)
return layer | [
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152,
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] | python | en | ['en', 'error', 'th'] | False |
upsampleConcat | (filter_out1, filter_out2, z, p, activation=ACTIVATION, name=None) |
Upsample output from convolution and merge it with another convolution
:param filter_out1: number of upsampling filter
:param filter_out2: number of output filter
:param z: input to upsample
:param p: input to merge with upsample
:param name: name of the scope
:return: upsampled output
|
Upsample output from convolution and merge it with another convolution
:param filter_out1: number of upsampling filter
:param filter_out2: number of output filter
:param z: input to upsample
:param p: input to merge with upsample
:param name: name of the scope
:return: upsampled output
| def upsampleConcat(filter_out1, filter_out2, z, p, activation=ACTIVATION, name=None):
"""
Upsample output from convolution and merge it with another convolution
:param filter_out1: number of upsampling filter
:param filter_out2: number of output filter
:param z: input to upsample
:param p: input to merge with upsample
:param name: name of the scope
:return: upsampled output
"""
with tf.name_scope(name) as scope:
x = tf.keras.layers.UpSampling2D()(z)
x = tf.keras.layers.Conv2D(
filter_out1,
1,
padding="same",
use_bias=False,
kernel_initializer=KERNEL_INIT,
kernel_regularizer=tf.keras.regularizers.l2(L2_REG),
)(x)
x = BatchNormalization()(x)
x = tf.keras.layers.Activation(activation)(x)
x = tf.keras.layers.Concatenate()([p, x])
x = tf.keras.layers.Conv2D(
filter_out2,
3,
padding="same",
use_bias=False,
kernel_initializer=KERNEL_INIT,
kernel_regularizer=tf.keras.regularizers.l2(L2_REG),
)(x)
x = BatchNormalization()(x)
x = tf.keras.layers.Activation(activation, name=name)(x)
return x | [
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155,
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] | [
188,
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] | python | en | ['en', 'error', 'th'] | False |
upsampleSum | (x, conv, filters=128, ratio=0.5, activation=ACTIVATION, name=None) |
Upsample convolution layer and average it with another one with same shape.
:param x: output from conv layer that should be upsampled
:param conv: convolution layer to average
:param filters: number of output filters, defaults to 128
:param ratio: ratio of the sum
:param name: name of the scope
:return: upsampled and merged output
|
Upsample convolution layer and average it with another one with same shape.
:param x: output from conv layer that should be upsampled
:param conv: convolution layer to average
:param filters: number of output filters, defaults to 128
:param ratio: ratio of the sum
:param name: name of the scope
:return: upsampled and merged output
| def upsampleSum(x, conv, filters=128, ratio=0.5, activation=ACTIVATION, name=None):
"""
Upsample convolution layer and average it with another one with same shape.
:param x: output from conv layer that should be upsampled
:param conv: convolution layer to average
:param filters: number of output filters, defaults to 128
:param ratio: ratio of the sum
:param name: name of the scope
:return: upsampled and merged output
"""
with tf.name_scope(name) as scope:
x_up = tf.keras.layers.UpSampling2D(size=(2, 2), interpolation="nearest")(x)
p = (1.0 - ratio) * x_up + ratio * conv2DBatchNorm(
conv, filters=filters, kernel_size=(1, 1), name="upsum" + name
)
return p | [
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set_regularization | (model, kernel_regularizer=None, bias_regularizer=None) |
Adds regularization to the all layers of the base model.
:param model: base model
:param kernel_regularizer: tf.keras.regularizers.*, defaults to None
:param bias_regularizer: tf.keras.regularizers*, defaults to None
:return: modified model with regularizations
|
Adds regularization to the all layers of the base model.
:param model: base model
:param kernel_regularizer: tf.keras.regularizers.*, defaults to None
:param bias_regularizer: tf.keras.regularizers*, defaults to None
:return: modified model with regularizations
| def set_regularization(model, kernel_regularizer=None, bias_regularizer=None):
"""
Adds regularization to the all layers of the base model.
:param model: base model
:param kernel_regularizer: tf.keras.regularizers.*, defaults to None
:param bias_regularizer: tf.keras.regularizers*, defaults to None
:return: modified model with regularizations
"""
for layer in model.layers:
if kernel_regularizer is not None and hasattr(layer, "kernel_regularizer"):
layer.kernel_regularizer = kernel_regularizer
if bias_regularizer is not None and hasattr(layer, "bias_regularizer"):
layer.bias_regularizer = bias_regularizer
out = tf.keras.models.model_from_json(model.to_json())
out.set_weights(model.get_weights())
return out | [
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TemplateCommand.handle_template | (self, template, subdir) |
Determine where the app or project templates are.
Use django.__path__[0] as the default because the Django install
directory isn't known.
|
Determine where the app or project templates are.
Use django.__path__[0] as the default because the Django install
directory isn't known.
| def handle_template(self, template, subdir):
"""
Determine where the app or project templates are.
Use django.__path__[0] as the default because the Django install
directory isn't known.
"""
if template is None:
return os.path.join(django.__path__[0], 'conf', subdir)
else:
if template.startswith('file://'):
template = template[7:]
expanded_template = os.path.expanduser(template)
expanded_template = os.path.normpath(expanded_template)
if os.path.isdir(expanded_template):
return expanded_template
if self.is_url(template):
# downloads the file and returns the path
absolute_path = self.download(template)
else:
absolute_path = os.path.abspath(expanded_template)
if os.path.exists(absolute_path):
return self.extract(absolute_path)
raise CommandError("couldn't handle %s template %s." %
(self.app_or_project, template)) | [
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208,
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TemplateCommand.download | (self, url) |
Download the given URL and return the file name.
|
Download the given URL and return the file name.
| def download(self, url):
"""
Download the given URL and return the file name.
"""
def cleanup_url(url):
tmp = url.rstrip('/')
filename = tmp.split('/')[-1]
if url.endswith('/'):
display_url = tmp + '/'
else:
display_url = url
return filename, display_url
prefix = 'django_%s_template_' % self.app_or_project
tempdir = tempfile.mkdtemp(prefix=prefix, suffix='_download')
self.paths_to_remove.append(tempdir)
filename, display_url = cleanup_url(url)
if self.verbosity >= 2:
self.stdout.write('Downloading %s' % display_url)
try:
the_path, info = urlretrieve(url, os.path.join(tempdir, filename))
except OSError as e:
raise CommandError("couldn't download URL %s to %s: %s" %
(url, filename, e))
used_name = the_path.split('/')[-1]
# Trying to get better name from response headers
content_disposition = info.get('content-disposition')
if content_disposition:
_, params = cgi.parse_header(content_disposition)
guessed_filename = params.get('filename') or used_name
else:
guessed_filename = used_name
# Falling back to content type guessing
ext = self.splitext(guessed_filename)[1]
content_type = info.get('content-type')
if not ext and content_type:
ext = mimetypes.guess_extension(content_type)
if ext:
guessed_filename += ext
# Move the temporary file to a filename that has better
# chances of being recognized by the archive utils
if used_name != guessed_filename:
guessed_path = os.path.join(tempdir, guessed_filename)
shutil.move(the_path, guessed_path)
return guessed_path
# Giving up
return the_path | [
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295,
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] | python | en | ['en', 'error', 'th'] | False |
TemplateCommand.splitext | (self, the_path) |
Like os.path.splitext, but takes off .tar, too
|
Like os.path.splitext, but takes off .tar, too
| def splitext(self, the_path):
"""
Like os.path.splitext, but takes off .tar, too
"""
base, ext = posixpath.splitext(the_path)
if base.lower().endswith('.tar'):
ext = base[-4:] + ext
base = base[:-4]
return base, ext | [
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TemplateCommand.extract | (self, filename) |
Extract the given file to a temporary directory and return
the path of the directory with the extracted content.
|
Extract the given file to a temporary directory and return
the path of the directory with the extracted content.
| def extract(self, filename):
"""
Extract the given file to a temporary directory and return
the path of the directory with the extracted content.
"""
prefix = 'django_%s_template_' % self.app_or_project
tempdir = tempfile.mkdtemp(prefix=prefix, suffix='_extract')
self.paths_to_remove.append(tempdir)
if self.verbosity >= 2:
self.stdout.write('Extracting %s' % filename)
try:
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return tempdir
except (archive.ArchiveException, OSError) as e:
raise CommandError("couldn't extract file %s to %s: %s" %
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TemplateCommand.is_url | (self, template) | Return True if the name looks like a URL. | Return True if the name looks like a URL. | def is_url(self, template):
"""Return True if the name looks like a URL."""
if ':' not in template:
return False
scheme = template.split(':', 1)[0].lower()
return scheme in self.url_schemes | [
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TemplateCommand.make_writeable | (self, filename) |
Make sure that the file is writeable.
Useful if our source is read-only.
|
Make sure that the file is writeable.
Useful if our source is read-only.
| def make_writeable(self, filename):
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Make sure that the file is writeable.
Useful if our source is read-only.
"""
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os.chmod(filename, new_permissions) | [
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331,
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339,
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create_command | (name: str, **kwargs: Any) |
Create an instance of the Command class with the given name.
|
Create an instance of the Command class with the given name.
| def create_command(name: str, **kwargs: Any) -> Command:
"""
Create an instance of the Command class with the given name.
"""
module_path, class_name, summary = commands_dict[name]
module = importlib.import_module(module_path)
command_class = getattr(module, class_name)
command = command_class(name=name, summary=summary, **kwargs)
return command | [
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get_similar_commands | (name: str) | Command name auto-correct. | Command name auto-correct. | def get_similar_commands(name: str) -> Optional[str]:
"""Command name auto-correct."""
from difflib import get_close_matches
name = name.lower()
close_commands = get_close_matches(name, commands_dict.keys())
if close_commands:
return close_commands[0]
else:
return None | [
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] | python | en | ['en', 'sm', 'en'] | True |
_get_observations | (
tasks: Sequence[task_if.Task],
action_mapper=None,
) | Encode the initial scene and the goal as arrays.
Args:
task: list of thift tasks.
Returns:
A tuple (scenes, objects, goals).
scenes: uint8 array with shape (task, height, width).
featurized_objects: list (length tasks) of FeaturizedObjects
contianing float arrays of size
(number scene objects, OBJECT_FEATURE_SIZE).
goals: uint8 array with shape (task, 3).
Each goal is encoded with three numbers: (obj_type1,
obj_type2, rel). All three are less than MAX_GOAL. To be more
presize, obj_types are less than MAX_OBJECT_TYPE and rel is
less than MAX_RELATION.
| Encode the initial scene and the goal as arrays. | def _get_observations(
tasks: Sequence[task_if.Task],
action_mapper=None,
) -> Tuple[np.ndarray, np.ndarray, np.ndarray]:
"""Encode the initial scene and the goal as arrays.
Args:
task: list of thift tasks.
Returns:
A tuple (scenes, objects, goals).
scenes: uint8 array with shape (task, height, width).
featurized_objects: list (length tasks) of FeaturizedObjects
contianing float arrays of size
(number scene objects, OBJECT_FEATURE_SIZE).
goals: uint8 array with shape (task, 3).
Each goal is encoded with three numbers: (obj_type1,
obj_type2, rel). All three are less than MAX_GOAL. To be more
presize, obj_types are less than MAX_OBJECT_TYPE and rel is
less than MAX_RELATION.
"""
scenes = np.stack(
[phyre.simulator.scene_to_raster(task.scene) for task in tasks])
featurized_objects = [
phyre.simulator.scene_to_featurized_objects(task.scene)
for task in tasks
]
goals = np.array([_encode_goal(task) for task in tasks], dtype=np.uint8)
return (scenes, featurized_objects, goals) | [
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initialize_simulator | (task_ids: Sequence[str],
action_tier: str,
drop_objs: Sequence[int] = ()) | Initialize ActionSimulator for given tasks and tier. | Initialize ActionSimulator for given tasks and tier. | def initialize_simulator(task_ids: Sequence[str],
action_tier: str,
drop_objs: Sequence[int] = ()) -> ActionSimulator:
"""Initialize ActionSimulator for given tasks and tier."""
tasks = phyre.loader.load_compiled_task_list(task_ids)
return ActionSimulator(tasks, action_tier, drop_objs=drop_objs) | [
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SimulationStatus.is_solved | (self) | Whether the action solved the task. | Whether the action solved the task. | def is_solved(self) -> bool:
"""Whether the action solved the task."""
return (self is SimulationStatus.SOLVED or
self is SimulationStatus.STABLY_SOLVED or
self is SimulationStatus.UNSTABLY_SOLVED) | [
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SimulationStatus.is_stably_solved | (self) | Whether the action is stable solution for the task.
This only applies if the simulation was called with `stable` flag.
| Whether the action is stable solution for the task. | def is_stably_solved(self) -> bool:
"""Whether the action is stable solution for the task.
This only applies if the simulation was called with `stable` flag.
"""
return self is SimulationStatus.STABLY_SOLVED | [
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SimulationStatus.is_not_solved | (self) | Whether the action is valid, but doesn't solve the task. | Whether the action is valid, but doesn't solve the task. | def is_not_solved(self) -> bool:
"""Whether the action is valid, but doesn't solve the task."""
return self is SimulationStatus.NOT_SOLVED | [
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SimulationStatus.is_invalid | (self) | whether the action is invalid for the task. | whether the action is invalid for the task. | def is_invalid(self) -> bool:
"""whether the action is invalid for the task."""
return self is SimulationStatus.INVALID_INPUT | [
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] | python | en | ['en', 'en', 'en'] | True |
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