_id stringlengths 2 7 | title stringlengths 1 88 | partition stringclasses 3
values | text stringlengths 75 19.8k | language stringclasses 1
value | meta_information dict |
|---|---|---|---|---|---|
q22000 | Connection.executescript | train | async def executescript(self, sql_script: str) -> Cursor:
"""Helper to create a cursor and execute a user script."""
cursor = await self._execute(self._conn.executescript, sql_script)
return Cursor(self, cursor) | python | {
"resource": ""
} |
q22001 | _log_multivariate_normal_density_diag | train | def _log_multivariate_normal_density_diag(X, means, covars):
"""Compute Gaussian log-density at X for a diagonal model."""
n_samples, n_dim = X.shape
lpr = -0.5 * (n_dim * np.log(2 * np.pi) + np.sum(np.log(covars), 1)
+ np.sum((means ** 2) / covars, 1)
- 2 * np.dot(X, (me... | python | {
"resource": ""
} |
q22002 | _log_multivariate_normal_density_spherical | train | def _log_multivariate_normal_density_spherical(X, means, covars):
"""Compute Gaussian log-density at X for a spherical model."""
cv = covars.copy()
if covars.ndim == 1:
cv = cv[:, np.newaxis]
if cv.shape[1] == 1:
cv = np.tile(cv, (1, X.shape[-1]))
return _log_multivariate_normal_dens... | python | {
"resource": ""
} |
q22003 | _log_multivariate_normal_density_tied | train | def _log_multivariate_normal_density_tied(X, means, covars):
"""Compute Gaussian log-density at X for a tied model."""
cv = np.tile(covars, (means.shape[0], 1, 1))
return _log_multivariate_normal_density_full(X, means, cv) | python | {
"resource": ""
} |
q22004 | _log_multivariate_normal_density_full | train | def _log_multivariate_normal_density_full(X, means, covars, min_covar=1.e-7):
"""Log probability for full covariance matrices."""
n_samples, n_dim = X.shape
nmix = len(means)
log_prob = np.empty((n_samples, nmix))
for c, (mu, cv) in enumerate(zip(means, covars)):
try:
cv_chol = l... | python | {
"resource": ""
} |
q22005 | ConvergenceMonitor.converged | train | def converged(self):
"""``True`` if the EM algorithm converged and ``False`` otherwise."""
# XXX we might want to check that ``logprob`` is non-decreasing.
return (self.iter == self.n_iter or
(len(self.history) == 2 and
self.history[1] - self.history[0] < self.to... | python | {
"resource": ""
} |
q22006 | _BaseHMM.get_stationary_distribution | train | def get_stationary_distribution(self):
"""Compute the stationary distribution of states.
"""
# The stationary distribution is proportional to the left-eigenvector
# associated with the largest eigenvalue (i.e., 1) of the transition
# matrix.
check_is_fitted(self, "transma... | python | {
"resource": ""
} |
q22007 | _BaseHMM.score_samples | train | def score_samples(self, X, lengths=None):
"""Compute the log probability under the model and compute posteriors.
Parameters
----------
X : array-like, shape (n_samples, n_features)
Feature matrix of individual samples.
lengths : array-like of integers, shape (n_sequ... | python | {
"resource": ""
} |
q22008 | _BaseHMM.predict_proba | train | def predict_proba(self, X, lengths=None):
"""Compute the posterior probability for each state in the model.
X : array-like, shape (n_samples, n_features)
Feature matrix of individual samples.
lengths : array-like of integers, shape (n_sequences, ), optional
Lengths of t... | python | {
"resource": ""
} |
q22009 | _BaseHMM._init | train | def _init(self, X, lengths):
"""Initializes model parameters prior to fitting.
Parameters
----------
X : array-like, shape (n_samples, n_features)
Feature matrix of individual samples.
lengths : array-like of integers, shape (n_sequences, )
Lengths of th... | python | {
"resource": ""
} |
q22010 | _BaseHMM._check | train | def _check(self):
"""Validates model parameters prior to fitting.
Raises
------
ValueError
If any of the parameters are invalid, e.g. if :attr:`startprob_`
don't sum to 1.
"""
self.startprob_ = np.asarray(self.startprob_)
if len(self.star... | python | {
"resource": ""
} |
q22011 | _BaseHMM._initialize_sufficient_statistics | train | def _initialize_sufficient_statistics(self):
"""Initializes sufficient statistics required for M-step.
The method is *pure*, meaning that it doesn't change the state of
the instance. For extensibility computed statistics are stored
in a dictionary.
Returns
-------
... | python | {
"resource": ""
} |
q22012 | _BaseHMM._accumulate_sufficient_statistics | train | def _accumulate_sufficient_statistics(self, stats, X, framelogprob,
posteriors, fwdlattice, bwdlattice):
"""Updates sufficient statistics from a given sample.
Parameters
----------
stats : dict
Sufficient statistics as returned by
... | python | {
"resource": ""
} |
q22013 | _BaseHMM._do_mstep | train | def _do_mstep(self, stats):
"""Performs the M-step of EM algorithm.
Parameters
----------
stats : dict
Sufficient statistics updated from all available samples.
"""
# The ``np.where`` calls guard against updating forbidden states
# or transitions in e... | python | {
"resource": ""
} |
q22014 | _validate_covars | train | def _validate_covars(covars, covariance_type, n_components):
"""Do basic checks on matrix covariance sizes and values."""
from scipy import linalg
if covariance_type == 'spherical':
if len(covars) != n_components:
raise ValueError("'spherical' covars have length n_components")
el... | python | {
"resource": ""
} |
q22015 | distribute_covar_matrix_to_match_covariance_type | train | def distribute_covar_matrix_to_match_covariance_type(
tied_cv, covariance_type, n_components):
"""Create all the covariance matrices from a given template."""
if covariance_type == 'spherical':
cv = np.tile(tied_cv.mean() * np.ones(tied_cv.shape[1]),
(n_components, 1))
e... | python | {
"resource": ""
} |
q22016 | normalize | train | def normalize(a, axis=None):
"""Normalizes the input array so that it sums to 1.
Parameters
----------
a : array
Non-normalized input data.
axis : int
Dimension along which normalization is performed.
Notes
-----
Modifies the input **inplace**.
"""
a_sum = a.su... | python | {
"resource": ""
} |
q22017 | log_normalize | train | def log_normalize(a, axis=None):
"""Normalizes the input array so that the exponent of the sum is 1.
Parameters
----------
a : array
Non-normalized input data.
axis : int
Dimension along which normalization is performed.
Notes
-----
Modifies the input **inplace**.
... | python | {
"resource": ""
} |
q22018 | log_mask_zero | train | def log_mask_zero(a):
"""Computes the log of input probabilities masking divide by zero in log.
Notes
-----
During the M-step of EM-algorithm, very small intermediate start
or transition probabilities could be normalized to zero, causing a
*RuntimeWarning: divide by zero encountered in log*.
... | python | {
"resource": ""
} |
q22019 | GaussianHMM.covars_ | train | def covars_(self):
"""Return covars as a full matrix."""
return fill_covars(self._covars_, self.covariance_type,
self.n_components, self.n_features) | python | {
"resource": ""
} |
q22020 | MultinomialHMM._check_input_symbols | train | def _check_input_symbols(self, X):
"""Check if ``X`` is a sample from a Multinomial distribution.
That is ``X`` should be an array of non-negative integers from
range ``[min(X), max(X)]``, such that each integer from the range
occurs in ``X`` at least once.
For example ``[0, 0,... | python | {
"resource": ""
} |
q22021 | Object._set_cache_ | train | def _set_cache_(self, attr):
"""Retrieve object information"""
if attr == "size":
oinfo = self.repo.odb.info(self.binsha)
self.size = oinfo.size
# assert oinfo.type == self.type, _assertion_msg_format % (self.binsha, oinfo.type, self.type)
else:
su... | python | {
"resource": ""
} |
q22022 | RemoteReference.iter_items | train | def iter_items(cls, repo, common_path=None, remote=None):
"""Iterate remote references, and if given, constrain them to the given remote"""
common_path = common_path or cls._common_path_default
if remote is not None:
common_path = join_path(common_path, str(remote))
# END han... | python | {
"resource": ""
} |
q22023 | RemoteReference.delete | train | def delete(cls, repo, *refs, **kwargs):
"""Delete the given remote references
:note:
kwargs are given for comparability with the base class method as we
should not narrow the signature."""
repo.git.branch("-d", "-r", *refs)
# the official deletion method will ign... | python | {
"resource": ""
} |
q22024 | _init_externals | train | def _init_externals():
"""Initialize external projects by putting them into the path"""
if __version__ == 'git':
sys.path.insert(0, osp.join(osp.dirname(__file__), 'ext', 'gitdb'))
try:
import gitdb
except ImportError:
raise ImportError("'gitdb' could not be found in your PYTHON... | python | {
"resource": ""
} |
q22025 | refresh | train | def refresh(path=None):
"""Convenience method for setting the git executable path."""
global GIT_OK
GIT_OK = False
if not Git.refresh(path=path):
return
if not FetchInfo.refresh():
return
GIT_OK = True | python | {
"resource": ""
} |
q22026 | _git_dir | train | def _git_dir(repo, path):
""" Find the git dir that's appropriate for the path"""
name = "%s" % (path,)
if name in ['HEAD', 'ORIG_HEAD', 'FETCH_HEAD', 'index', 'logs']:
return repo.git_dir
return repo.common_dir | python | {
"resource": ""
} |
q22027 | SymbolicReference.set_commit | train | def set_commit(self, commit, logmsg=None):
"""As set_object, but restricts the type of object to be a Commit
:raise ValueError: If commit is not a Commit object or doesn't point to
a commit
:return: self"""
# check the type - assume the best if it is a base-string
in... | python | {
"resource": ""
} |
q22028 | SymbolicReference.set_object | train | def set_object(self, object, logmsg=None): # @ReservedAssignment
"""Set the object we point to, possibly dereference our symbolic reference first.
If the reference does not exist, it will be created
:param object: a refspec, a SymbolicReference or an Object instance. SymbolicReferences
... | python | {
"resource": ""
} |
q22029 | SymbolicReference.set_reference | train | def set_reference(self, ref, logmsg=None):
"""Set ourselves to the given ref. It will stay a symbol if the ref is a Reference.
Otherwise an Object, given as Object instance or refspec, is assumed and if valid,
will be set which effectively detaches the refererence if it was a purely
symb... | python | {
"resource": ""
} |
q22030 | SymbolicReference.log_append | train | def log_append(self, oldbinsha, message, newbinsha=None):
"""Append a logentry to the logfile of this ref
:param oldbinsha: binary sha this ref used to point to
:param message: A message describing the change
:param newbinsha: The sha the ref points to now. If None, our current commit s... | python | {
"resource": ""
} |
q22031 | SymbolicReference.delete | train | def delete(cls, repo, path):
"""Delete the reference at the given path
:param repo:
Repository to delete the reference from
:param path:
Short or full path pointing to the reference, i.e. refs/myreference
or just "myreference", hence 'refs/' is implied.
... | python | {
"resource": ""
} |
q22032 | SymbolicReference._create | train | def _create(cls, repo, path, resolve, reference, force, logmsg=None):
"""internal method used to create a new symbolic reference.
If resolve is False, the reference will be taken as is, creating
a proper symbolic reference. Otherwise it will be resolved to the
corresponding object and a ... | python | {
"resource": ""
} |
q22033 | SymbolicReference.create | train | def create(cls, repo, path, reference='HEAD', force=False, logmsg=None):
"""Create a new symbolic reference, hence a reference pointing to another reference.
:param repo:
Repository to create the reference in
:param path:
full path at which the new symbolic reference is... | python | {
"resource": ""
} |
q22034 | SymbolicReference.iter_items | train | def iter_items(cls, repo, common_path=None):
"""Find all refs in the repository
:param repo: is the Repo
:param common_path:
Optional keyword argument to the path which is to be shared by all
returned Ref objects.
Defaults to class specific portion if None a... | python | {
"resource": ""
} |
q22035 | HEAD.reset | train | def reset(self, commit='HEAD', index=True, working_tree=False,
paths=None, **kwargs):
"""Reset our HEAD to the given commit optionally synchronizing
the index and working tree. The reference we refer to will be set to
commit as well.
:param commit:
Commit objec... | python | {
"resource": ""
} |
q22036 | Head.delete | train | def delete(cls, repo, *heads, **kwargs):
"""Delete the given heads
:param force:
If True, the heads will be deleted even if they are not yet merged into
the main development stream.
Default False"""
force = kwargs.get("force", False)
flag = "-d"
... | python | {
"resource": ""
} |
q22037 | Head.set_tracking_branch | train | def set_tracking_branch(self, remote_reference):
"""
Configure this branch to track the given remote reference. This will alter
this branch's configuration accordingly.
:param remote_reference: The remote reference to track or None to untrack
any references
:retu... | python | {
"resource": ""
} |
q22038 | Head.checkout | train | def checkout(self, force=False, **kwargs):
"""Checkout this head by setting the HEAD to this reference, by updating the index
to reflect the tree we point to and by updating the working tree to reflect
the latest index.
The command will fail if changed working tree files would be overwr... | python | {
"resource": ""
} |
q22039 | IndexFile._deserialize | train | def _deserialize(self, stream):
"""Initialize this instance with index values read from the given stream"""
self.version, self.entries, self._extension_data, conten_sha = read_cache(stream) # @UnusedVariable
return self | python | {
"resource": ""
} |
q22040 | IndexFile.write | train | def write(self, file_path=None, ignore_extension_data=False):
"""Write the current state to our file path or to the given one
:param file_path:
If None, we will write to our stored file path from which we have
been initialized. Otherwise we write to the given file path.
... | python | {
"resource": ""
} |
q22041 | IndexFile.merge_tree | train | def merge_tree(self, rhs, base=None):
"""Merge the given rhs treeish into the current index, possibly taking
a common base treeish into account.
As opposed to the from_tree_ method, this allows you to use an already
existing tree as the left side of the merge
:param rhs:
... | python | {
"resource": ""
} |
q22042 | IndexFile.from_tree | train | def from_tree(cls, repo, *treeish, **kwargs):
"""Merge the given treeish revisions into a new index which is returned.
The original index will remain unaltered
:param repo:
The repository treeish are located in.
:param treeish:
One, two or three Tree Objects, Co... | python | {
"resource": ""
} |
q22043 | IndexFile._iter_expand_paths | train | def _iter_expand_paths(self, paths):
"""Expand the directories in list of paths to the corresponding paths accordingly,
Note: git will add items multiple times even if a glob overlapped
with manually specified paths or if paths where specified multiple
times - we respect that and do not... | python | {
"resource": ""
} |
q22044 | IndexFile._write_path_to_stdin | train | def _write_path_to_stdin(self, proc, filepath, item, fmakeexc, fprogress,
read_from_stdout=True):
"""Write path to proc.stdin and make sure it processes the item, including progress.
:return: stdout string
:param read_from_stdout: if True, proc.stdout will be read a... | python | {
"resource": ""
} |
q22045 | IndexFile.resolve_blobs | train | def resolve_blobs(self, iter_blobs):
"""Resolve the blobs given in blob iterator. This will effectively remove the
index entries of the respective path at all non-null stages and add the given
blob as new stage null blob.
For each path there may only be one blob, otherwise a ValueError ... | python | {
"resource": ""
} |
q22046 | IndexFile.write_tree | train | def write_tree(self):
"""Writes this index to a corresponding Tree object into the repository's
object database and return it.
:return: Tree object representing this index
:note: The tree will be written even if one or more objects the tree refers to
does not yet exist in th... | python | {
"resource": ""
} |
q22047 | IndexFile._preprocess_add_items | train | def _preprocess_add_items(self, items):
""" Split the items into two lists of path strings and BaseEntries. """
paths = []
entries = []
for item in items:
if isinstance(item, string_types):
paths.append(self._to_relative_path(item))
elif isinstanc... | python | {
"resource": ""
} |
q22048 | IndexFile._store_path | train | def _store_path(self, filepath, fprogress):
"""Store file at filepath in the database and return the base index entry
Needs the git_working_dir decorator active ! This must be assured in the calling code"""
st = os.lstat(filepath) # handles non-symlinks as well
if S_ISLNK(st.st_mode)... | python | {
"resource": ""
} |
q22049 | IndexFile.add | train | def add(self, items, force=True, fprogress=lambda *args: None, path_rewriter=None,
write=True, write_extension_data=False):
"""Add files from the working tree, specific blobs or BaseIndexEntries
to the index.
:param items:
Multiple types of items are supported, types can... | python | {
"resource": ""
} |
q22050 | IndexFile._items_to_rela_paths | train | def _items_to_rela_paths(self, items):
"""Returns a list of repo-relative paths from the given items which
may be absolute or relative paths, entries or blobs"""
paths = []
for item in items:
if isinstance(item, (BaseIndexEntry, (Blob, Submodule))):
paths.appe... | python | {
"resource": ""
} |
q22051 | IndexFile.remove | train | def remove(self, items, working_tree=False, **kwargs):
"""Remove the given items from the index and optionally from
the working tree as well.
:param items:
Multiple types of items are supported which may be be freely mixed.
- path string
Remove the given... | python | {
"resource": ""
} |
q22052 | IndexFile.reset | train | def reset(self, commit='HEAD', working_tree=False, paths=None, head=False, **kwargs):
"""Reset the index to reflect the tree at the given commit. This will not
adjust our HEAD reference as opposed to HEAD.reset by default.
:param commit:
Revision, Reference or Commit specifying the ... | python | {
"resource": ""
} |
q22053 | IndexFile.diff | train | def diff(self, other=diff.Diffable.Index, paths=None, create_patch=False, **kwargs):
"""Diff this index against the working copy or a Tree or Commit object
For a documentation of the parameters and return values, see
Diffable.diff
:note:
Will only work with indices that rep... | python | {
"resource": ""
} |
q22054 | TagReference.create | train | def create(cls, repo, path, ref='HEAD', message=None, force=False, **kwargs):
"""Create a new tag reference.
:param path:
The name of the tag, i.e. 1.0 or releases/1.0.
The prefix refs/tags is implied
:param ref:
A reference to the object you want to tag. It... | python | {
"resource": ""
} |
q22055 | _find_by_name | train | def _find_by_name(tree_data, name, is_dir, start_at):
"""return data entry matching the given name and tree mode
or None.
Before the item is returned, the respective data item is set
None in the tree_data list to mark it done"""
try:
item = tree_data[start_at]
if item and item[2] == ... | python | {
"resource": ""
} |
q22056 | set_dirty_and_flush_changes | train | def set_dirty_and_flush_changes(non_const_func):
"""Return method that checks whether given non constant function may be called.
If so, the instance will be set dirty.
Additionally, we flush the changes right to disk"""
def flush_changes(self, *args, **kwargs):
rval = non_const_func(self, *args... | python | {
"resource": ""
} |
q22057 | SectionConstraint._call_config | train | def _call_config(self, method, *args, **kwargs):
"""Call the configuration at the given method which must take a section name
as first argument"""
return getattr(self._config, method)(self._section_name, *args, **kwargs) | python | {
"resource": ""
} |
q22058 | GitConfigParser._read | train | def _read(self, fp, fpname):
"""A direct copy of the py2.4 version of the super class's _read method
to assure it uses ordered dicts. Had to change one line to make it work.
Future versions have this fixed, but in fact its quite embarrassing for the
guys not to have done it right in the... | python | {
"resource": ""
} |
q22059 | GitConfigParser.read | train | def read(self):
"""Reads the data stored in the files we have been initialized with. It will
ignore files that cannot be read, possibly leaving an empty configuration
:return: Nothing
:raise IOError: if a file cannot be handled"""
if self._is_initialized:
return
... | python | {
"resource": ""
} |
q22060 | GitConfigParser._write | train | def _write(self, fp):
"""Write an .ini-format representation of the configuration state in
git compatible format"""
def write_section(name, section_dict):
fp.write(("[%s]\n" % name).encode(defenc))
for (key, value) in section_dict.items():
if key != "__nam... | python | {
"resource": ""
} |
q22061 | GitConfigParser.write | train | def write(self):
"""Write changes to our file, if there are changes at all
:raise IOError: if this is a read-only writer instance or if we could not obtain
a file lock"""
self._assure_writable("write")
if not self._dirty:
return
if isinstance(self._file_... | python | {
"resource": ""
} |
q22062 | GitConfigParser.set_value | train | def set_value(self, section, option, value):
"""Sets the given option in section to the given value.
It will create the section if required, and will not throw as opposed to the default
ConfigParser 'set' method.
:param section: Name of the section in which the option resides or should ... | python | {
"resource": ""
} |
q22063 | stat_mode_to_index_mode | train | def stat_mode_to_index_mode(mode):
"""Convert the given mode from a stat call to the corresponding index mode
and return it"""
if S_ISLNK(mode): # symlinks
return S_IFLNK
if S_ISDIR(mode) or S_IFMT(mode) == S_IFGITLINK: # submodules
return S_IFGITLINK
return S_IFREG | 0o644 | (m... | python | {
"resource": ""
} |
q22064 | write_cache | train | def write_cache(entries, stream, extension_data=None, ShaStreamCls=IndexFileSHA1Writer):
"""Write the cache represented by entries to a stream
:param entries: **sorted** list of entries
:param stream: stream to wrap into the AdapterStreamCls - it is used for
final output.
:param ShaStreamCls: ... | python | {
"resource": ""
} |
q22065 | write_tree_from_cache | train | def write_tree_from_cache(entries, odb, sl, si=0):
"""Create a tree from the given sorted list of entries and put the respective
trees into the given object database
:param entries: **sorted** list of IndexEntries
:param odb: object database to store the trees in
:param si: start index at which we ... | python | {
"resource": ""
} |
q22066 | TreeModifier.add | train | def add(self, sha, mode, name, force=False):
"""Add the given item to the tree. If an item with the given name already
exists, nothing will be done, but a ValueError will be raised if the
sha and mode of the existing item do not match the one you add, unless
force is True
:param... | python | {
"resource": ""
} |
q22067 | Tree.traverse | train | def traverse(self, predicate=lambda i, d: True,
prune=lambda i, d: False, depth=-1, branch_first=True,
visit_once=False, ignore_self=1):
"""For documentation, see util.Traversable.traverse
Trees are set to visit_once = False to gain more performance in the traversal"""
... | python | {
"resource": ""
} |
q22068 | GitCmdObjectDB.stream | train | def stream(self, sha):
"""For now, all lookup is done by git itself"""
hexsha, typename, size, stream = self._git.stream_object_data(bin_to_hex(sha))
return OStream(hex_to_bin(hexsha), typename, size, stream) | python | {
"resource": ""
} |
q22069 | altz_to_utctz_str | train | def altz_to_utctz_str(altz):
"""As above, but inverses the operation, returning a string that can be used
in commit objects"""
utci = -1 * int((float(altz) / 3600) * 100)
utcs = str(abs(utci))
utcs = "0" * (4 - len(utcs)) + utcs
prefix = (utci < 0 and '-') or '+'
return prefix + utcs | python | {
"resource": ""
} |
q22070 | from_timestamp | train | def from_timestamp(timestamp, tz_offset):
"""Converts a timestamp + tz_offset into an aware datetime instance."""
utc_dt = datetime.fromtimestamp(timestamp, utc)
try:
local_dt = utc_dt.astimezone(tzoffset(tz_offset))
return local_dt
except ValueError:
return utc_dt | python | {
"resource": ""
} |
q22071 | parse_date | train | def parse_date(string_date):
"""
Parse the given date as one of the following
* Git internal format: timestamp offset
* RFC 2822: Thu, 07 Apr 2005 22:13:13 +0200.
* ISO 8601 2005-04-07T22:13:13
The T can be a space as well
:return: Tuple(int(timestamp_UTC), int(offset))... | python | {
"resource": ""
} |
q22072 | handle_process_output | train | def handle_process_output(process, stdout_handler, stderr_handler,
finalizer=None, decode_streams=True):
"""Registers for notifications to lean that process output is ready to read, and dispatches lines to
the respective line handlers.
This function returns once the finalizer retur... | python | {
"resource": ""
} |
q22073 | Git.set_persistent_git_options | train | def set_persistent_git_options(self, **kwargs):
"""Specify command line options to the git executable
for subsequent subcommand calls
:param kwargs:
is a dict of keyword arguments.
these arguments are passed as in _call_process
but will be passed to the git c... | python | {
"resource": ""
} |
q22074 | Git.custom_environment | train | def custom_environment(self, **kwargs):
"""
A context manager around the above ``update_environment`` method to restore the
environment back to its previous state after operation.
``Examples``::
with self.custom_environment(GIT_SSH='/bin/ssh_wrapper'):
repo.... | python | {
"resource": ""
} |
q22075 | Git.get_object_header | train | def get_object_header(self, ref):
""" Use this method to quickly examine the type and size of the object behind
the given ref.
:note: The method will only suffer from the costs of command invocation
once and reuses the command in subsequent calls.
:return: (hexsha, type_str... | python | {
"resource": ""
} |
q22076 | Git.clear_cache | train | def clear_cache(self):
"""Clear all kinds of internal caches to release resources.
Currently persistent commands will be interrupted.
:return: self"""
for cmd in (self.cat_file_all, self.cat_file_header):
if cmd:
cmd.__del__()
self.cat_file_all = No... | python | {
"resource": ""
} |
q22077 | Repo.create_head | train | def create_head(self, path, commit='HEAD', force=False, logmsg=None):
"""Create a new head within the repository.
For more documentation, please see the Head.create method.
:return: newly created Head Reference"""
return Head.create(self, path, commit, force, logmsg) | python | {
"resource": ""
} |
q22078 | Repo.create_tag | train | def create_tag(self, path, ref='HEAD', message=None, force=False, **kwargs):
"""Create a new tag reference.
For more documentation, please see the TagReference.create method.
:return: TagReference object """
return TagReference.create(self, path, ref, message, force, **kwargs) | python | {
"resource": ""
} |
q22079 | Repo.create_remote | train | def create_remote(self, name, url, **kwargs):
"""Create a new remote.
For more information, please see the documentation of the Remote.create
methods
:return: Remote reference"""
return Remote.create(self, name, url, **kwargs) | python | {
"resource": ""
} |
q22080 | Repo.is_ancestor | train | def is_ancestor(self, ancestor_rev, rev):
"""Check if a commit is an ancestor of another
:param ancestor_rev: Rev which should be an ancestor
:param rev: Rev to test against ancestor_rev
:return: ``True``, ancestor_rev is an accestor to rev.
"""
try:
self.gi... | python | {
"resource": ""
} |
q22081 | Repo._get_alternates | train | def _get_alternates(self):
"""The list of alternates for this repo from which objects can be retrieved
:return: list of strings being pathnames of alternates"""
alternates_path = osp.join(self.git_dir, 'objects', 'info', 'alternates')
if osp.exists(alternates_path):
with op... | python | {
"resource": ""
} |
q22082 | Repo._set_alternates | train | def _set_alternates(self, alts):
"""Sets the alternates
:param alts:
is the array of string paths representing the alternates at which
git should look for objects, i.e. /home/user/repo/.git/objects
:raise NoSuchPathError:
:note:
The method does not c... | python | {
"resource": ""
} |
q22083 | Repo.blame_incremental | train | def blame_incremental(self, rev, file, **kwargs):
"""Iterator for blame information for the given file at the given revision.
Unlike .blame(), this does not return the actual file's contents, only
a stream of BlameEntry tuples.
:param rev: revision specifier, see git-rev-parse for viab... | python | {
"resource": ""
} |
q22084 | Repo.blame | train | def blame(self, rev, file, incremental=False, **kwargs):
"""The blame information for the given file at the given revision.
:param rev: revision specifier, see git-rev-parse for viable options.
:return:
list: [git.Commit, list: [<line>]]
A list of tuples associating a Co... | python | {
"resource": ""
} |
q22085 | Repo.init | train | def init(cls, path=None, mkdir=True, odbt=GitCmdObjectDB, expand_vars=True, **kwargs):
"""Initialize a git repository at the given path if specified
:param path:
is the full path to the repo (traditionally ends with /<name>.git)
or None in which case the repository will be creat... | python | {
"resource": ""
} |
q22086 | Repo.clone | train | def clone(self, path, progress=None, **kwargs):
"""Create a clone from this repository.
:param path: is the full path of the new repo (traditionally ends with ./<name>.git).
:param progress: See 'git.remote.Remote.push'.
:param kwargs:
* odbt = ObjectDatabase Type, allowing ... | python | {
"resource": ""
} |
q22087 | Repo.clone_from | train | def clone_from(cls, url, to_path, progress=None, env=None, **kwargs):
"""Create a clone from the given URL
:param url: valid git url, see http://www.kernel.org/pub/software/scm/git/docs/git-clone.html#URLS
:param to_path: Path to which the repository should be cloned to
:param progress:... | python | {
"resource": ""
} |
q22088 | Repo.archive | train | def archive(self, ostream, treeish=None, prefix=None, **kwargs):
"""Archive the tree at the given revision.
:param ostream: file compatible stream object to which the archive will be written as bytes
:param treeish: is the treeish name/id, defaults to active branch
:param prefix: is the... | python | {
"resource": ""
} |
q22089 | win_encode | train | def win_encode(s):
"""Encode unicodes for process arguments on Windows."""
if isinstance(s, unicode):
return s.encode(locale.getpreferredencoding(False))
elif isinstance(s, bytes):
return s
elif s is not None:
raise TypeError('Expected bytes or text, but got %r' % (s,)) | python | {
"resource": ""
} |
q22090 | Commit.count | train | def count(self, paths='', **kwargs):
"""Count the number of commits reachable from this commit
:param paths:
is an optional path or a list of paths restricting the return value
to commits actually containing the paths
:param kwargs:
Additional options to be ... | python | {
"resource": ""
} |
q22091 | Commit.iter_items | train | def iter_items(cls, repo, rev, paths='', **kwargs):
"""Find all commits matching the given criteria.
:param repo: is the Repo
:param rev: revision specifier, see git-rev-parse for viable options
:param paths:
is an optional path or list of paths, if set only Commits that inc... | python | {
"resource": ""
} |
q22092 | Commit.iter_parents | train | def iter_parents(self, paths='', **kwargs):
"""Iterate _all_ parents of this commit.
:param paths:
Optional path or list of paths limiting the Commits to those that
contain at least one of the paths
:param kwargs: All arguments allowed by git-rev-list
:return: It... | python | {
"resource": ""
} |
q22093 | Commit.stats | train | def stats(self):
"""Create a git stat from changes between this commit and its first parent
or from all changes done if this is the very first commit.
:return: git.Stats"""
if not self.parents:
text = self.repo.git.diff_tree(self.hexsha, '--', numstat=True, root=True)
... | python | {
"resource": ""
} |
q22094 | Commit._iter_from_process_or_stream | train | def _iter_from_process_or_stream(cls, repo, proc_or_stream):
"""Parse out commit information into a list of Commit objects
We expect one-line per commit, and parse the actual commit information directly
from our lighting fast object database
:param proc: git-rev-list process instance - ... | python | {
"resource": ""
} |
q22095 | Commit.create_from_tree | train | def create_from_tree(cls, repo, tree, message, parent_commits=None, head=False, author=None, committer=None,
author_date=None, commit_date=None):
"""Commit the given tree, creating a commit object.
:param repo: Repo object the commit should be part of
:param tree: Tree ... | python | {
"resource": ""
} |
q22096 | find_worktree_git_dir | train | def find_worktree_git_dir(dotgit):
"""Search for a gitdir for this worktree."""
try:
statbuf = os.stat(dotgit)
except OSError:
return None
if not stat.S_ISREG(statbuf.st_mode):
return None
try:
lines = open(dotgit, 'r').readlines()
for key, value in [line.str... | python | {
"resource": ""
} |
q22097 | find_submodule_git_dir | train | def find_submodule_git_dir(d):
"""Search for a submodule repo."""
if is_git_dir(d):
return d
try:
with open(d) as fp:
content = fp.read().rstrip()
except (IOError, OSError):
# it's probably not a file
pass
else:
if content.startswith('gitdir: '):
... | python | {
"resource": ""
} |
q22098 | to_commit | train | def to_commit(obj):
"""Convert the given object to a commit if possible and return it"""
if obj.type == 'tag':
obj = deref_tag(obj)
if obj.type != "commit":
raise ValueError("Cannot convert object %r to type commit" % obj)
# END verify type
return obj | python | {
"resource": ""
} |
q22099 | FetchInfo._from_line | train | def _from_line(cls, repo, line, fetch_line):
"""Parse information from the given line as returned by git-fetch -v
and return a new FetchInfo object representing this information.
We can handle a line as follows
"%c %-*s %-*s -> %s%s"
Where c is either ' ', !, +, -, *, or =
... | python | {
"resource": ""
} |
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