partition stringclasses 3 values | func_name stringlengths 1 134 | docstring stringlengths 1 46.9k | path stringlengths 4 223 | original_string stringlengths 75 104k | code stringlengths 75 104k | docstring_tokens listlengths 1 1.97k | repo stringlengths 7 55 | language stringclasses 1 value | url stringlengths 87 315 | code_tokens listlengths 19 28.4k | sha stringlengths 40 40 |
|---|---|---|---|---|---|---|---|---|---|---|---|
train | PackageIndex._reader | Thread runner for reading lines of from a subprocess into a buffer.
:param name: The logical name of the stream (used for logging only).
:param stream: The stream to read from. This will typically a pipe
connected to the output stream of a subprocess.
:param outbuf: The list to append the read lines to. | pipenv/vendor/distlib/index.py | def _reader(self, name, stream, outbuf):
"""
Thread runner for reading lines of from a subprocess into a buffer.
:param name: The logical name of the stream (used for logging only).
:param stream: The stream to read from. This will typically a pipe
connected to the output stream of a subprocess.
:param outbuf: The list to append the read lines to.
"""
while True:
s = stream.readline()
if not s:
break
s = s.decode('utf-8').rstrip()
outbuf.append(s)
logger.debug('%s: %s' % (name, s))
stream.close() | def _reader(self, name, stream, outbuf):
"""
Thread runner for reading lines of from a subprocess into a buffer.
:param name: The logical name of the stream (used for logging only).
:param stream: The stream to read from. This will typically a pipe
connected to the output stream of a subprocess.
:param outbuf: The list to append the read lines to.
"""
while True:
s = stream.readline()
if not s:
break
s = s.decode('utf-8').rstrip()
outbuf.append(s)
logger.debug('%s: %s' % (name, s))
stream.close() | [
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train | PackageIndex.get_sign_command | Return a suitable command for signing a file.
:param filename: The pathname to the file to be signed.
:param signer: The identifier of the signer of the file.
:param sign_password: The passphrase for the signer's
private key used for signing.
:param keystore: The path to a directory which contains the keys
used in verification. If not specified, the
instance's ``gpg_home`` attribute is used instead.
:return: The signing command as a list suitable to be
passed to :class:`subprocess.Popen`. | pipenv/vendor/distlib/index.py | def get_sign_command(self, filename, signer, sign_password,
keystore=None):
"""
Return a suitable command for signing a file.
:param filename: The pathname to the file to be signed.
:param signer: The identifier of the signer of the file.
:param sign_password: The passphrase for the signer's
private key used for signing.
:param keystore: The path to a directory which contains the keys
used in verification. If not specified, the
instance's ``gpg_home`` attribute is used instead.
:return: The signing command as a list suitable to be
passed to :class:`subprocess.Popen`.
"""
cmd = [self.gpg, '--status-fd', '2', '--no-tty']
if keystore is None:
keystore = self.gpg_home
if keystore:
cmd.extend(['--homedir', keystore])
if sign_password is not None:
cmd.extend(['--batch', '--passphrase-fd', '0'])
td = tempfile.mkdtemp()
sf = os.path.join(td, os.path.basename(filename) + '.asc')
cmd.extend(['--detach-sign', '--armor', '--local-user',
signer, '--output', sf, filename])
logger.debug('invoking: %s', ' '.join(cmd))
return cmd, sf | def get_sign_command(self, filename, signer, sign_password,
keystore=None):
"""
Return a suitable command for signing a file.
:param filename: The pathname to the file to be signed.
:param signer: The identifier of the signer of the file.
:param sign_password: The passphrase for the signer's
private key used for signing.
:param keystore: The path to a directory which contains the keys
used in verification. If not specified, the
instance's ``gpg_home`` attribute is used instead.
:return: The signing command as a list suitable to be
passed to :class:`subprocess.Popen`.
"""
cmd = [self.gpg, '--status-fd', '2', '--no-tty']
if keystore is None:
keystore = self.gpg_home
if keystore:
cmd.extend(['--homedir', keystore])
if sign_password is not None:
cmd.extend(['--batch', '--passphrase-fd', '0'])
td = tempfile.mkdtemp()
sf = os.path.join(td, os.path.basename(filename) + '.asc')
cmd.extend(['--detach-sign', '--armor', '--local-user',
signer, '--output', sf, filename])
logger.debug('invoking: %s', ' '.join(cmd))
return cmd, sf | [
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train | PackageIndex.run_command | Run a command in a child process , passing it any input data specified.
:param cmd: The command to run.
:param input_data: If specified, this must be a byte string containing
data to be sent to the child process.
:return: A tuple consisting of the subprocess' exit code, a list of
lines read from the subprocess' ``stdout``, and a list of
lines read from the subprocess' ``stderr``. | pipenv/vendor/distlib/index.py | def run_command(self, cmd, input_data=None):
"""
Run a command in a child process , passing it any input data specified.
:param cmd: The command to run.
:param input_data: If specified, this must be a byte string containing
data to be sent to the child process.
:return: A tuple consisting of the subprocess' exit code, a list of
lines read from the subprocess' ``stdout``, and a list of
lines read from the subprocess' ``stderr``.
"""
kwargs = {
'stdout': subprocess.PIPE,
'stderr': subprocess.PIPE,
}
if input_data is not None:
kwargs['stdin'] = subprocess.PIPE
stdout = []
stderr = []
p = subprocess.Popen(cmd, **kwargs)
# We don't use communicate() here because we may need to
# get clever with interacting with the command
t1 = Thread(target=self._reader, args=('stdout', p.stdout, stdout))
t1.start()
t2 = Thread(target=self._reader, args=('stderr', p.stderr, stderr))
t2.start()
if input_data is not None:
p.stdin.write(input_data)
p.stdin.close()
p.wait()
t1.join()
t2.join()
return p.returncode, stdout, stderr | def run_command(self, cmd, input_data=None):
"""
Run a command in a child process , passing it any input data specified.
:param cmd: The command to run.
:param input_data: If specified, this must be a byte string containing
data to be sent to the child process.
:return: A tuple consisting of the subprocess' exit code, a list of
lines read from the subprocess' ``stdout``, and a list of
lines read from the subprocess' ``stderr``.
"""
kwargs = {
'stdout': subprocess.PIPE,
'stderr': subprocess.PIPE,
}
if input_data is not None:
kwargs['stdin'] = subprocess.PIPE
stdout = []
stderr = []
p = subprocess.Popen(cmd, **kwargs)
# We don't use communicate() here because we may need to
# get clever with interacting with the command
t1 = Thread(target=self._reader, args=('stdout', p.stdout, stdout))
t1.start()
t2 = Thread(target=self._reader, args=('stderr', p.stderr, stderr))
t2.start()
if input_data is not None:
p.stdin.write(input_data)
p.stdin.close()
p.wait()
t1.join()
t2.join()
return p.returncode, stdout, stderr | [
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train | PackageIndex.sign_file | Sign a file.
:param filename: The pathname to the file to be signed.
:param signer: The identifier of the signer of the file.
:param sign_password: The passphrase for the signer's
private key used for signing.
:param keystore: The path to a directory which contains the keys
used in signing. If not specified, the instance's
``gpg_home`` attribute is used instead.
:return: The absolute pathname of the file where the signature is
stored. | pipenv/vendor/distlib/index.py | def sign_file(self, filename, signer, sign_password, keystore=None):
"""
Sign a file.
:param filename: The pathname to the file to be signed.
:param signer: The identifier of the signer of the file.
:param sign_password: The passphrase for the signer's
private key used for signing.
:param keystore: The path to a directory which contains the keys
used in signing. If not specified, the instance's
``gpg_home`` attribute is used instead.
:return: The absolute pathname of the file where the signature is
stored.
"""
cmd, sig_file = self.get_sign_command(filename, signer, sign_password,
keystore)
rc, stdout, stderr = self.run_command(cmd,
sign_password.encode('utf-8'))
if rc != 0:
raise DistlibException('sign command failed with error '
'code %s' % rc)
return sig_file | def sign_file(self, filename, signer, sign_password, keystore=None):
"""
Sign a file.
:param filename: The pathname to the file to be signed.
:param signer: The identifier of the signer of the file.
:param sign_password: The passphrase for the signer's
private key used for signing.
:param keystore: The path to a directory which contains the keys
used in signing. If not specified, the instance's
``gpg_home`` attribute is used instead.
:return: The absolute pathname of the file where the signature is
stored.
"""
cmd, sig_file = self.get_sign_command(filename, signer, sign_password,
keystore)
rc, stdout, stderr = self.run_command(cmd,
sign_password.encode('utf-8'))
if rc != 0:
raise DistlibException('sign command failed with error '
'code %s' % rc)
return sig_file | [
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train | PackageIndex.upload_documentation | Upload documentation to the index.
:param metadata: A :class:`Metadata` instance defining at least a name
and version number for the documentation to be
uploaded.
:param doc_dir: The pathname of the directory which contains the
documentation. This should be the directory that
contains the ``index.html`` for the documentation.
:return: The HTTP response received from PyPI upon submission of the
request. | pipenv/vendor/distlib/index.py | def upload_documentation(self, metadata, doc_dir):
"""
Upload documentation to the index.
:param metadata: A :class:`Metadata` instance defining at least a name
and version number for the documentation to be
uploaded.
:param doc_dir: The pathname of the directory which contains the
documentation. This should be the directory that
contains the ``index.html`` for the documentation.
:return: The HTTP response received from PyPI upon submission of the
request.
"""
self.check_credentials()
if not os.path.isdir(doc_dir):
raise DistlibException('not a directory: %r' % doc_dir)
fn = os.path.join(doc_dir, 'index.html')
if not os.path.exists(fn):
raise DistlibException('not found: %r' % fn)
metadata.validate()
name, version = metadata.name, metadata.version
zip_data = zip_dir(doc_dir).getvalue()
fields = [(':action', 'doc_upload'),
('name', name), ('version', version)]
files = [('content', name, zip_data)]
request = self.encode_request(fields, files)
return self.send_request(request) | def upload_documentation(self, metadata, doc_dir):
"""
Upload documentation to the index.
:param metadata: A :class:`Metadata` instance defining at least a name
and version number for the documentation to be
uploaded.
:param doc_dir: The pathname of the directory which contains the
documentation. This should be the directory that
contains the ``index.html`` for the documentation.
:return: The HTTP response received from PyPI upon submission of the
request.
"""
self.check_credentials()
if not os.path.isdir(doc_dir):
raise DistlibException('not a directory: %r' % doc_dir)
fn = os.path.join(doc_dir, 'index.html')
if not os.path.exists(fn):
raise DistlibException('not found: %r' % fn)
metadata.validate()
name, version = metadata.name, metadata.version
zip_data = zip_dir(doc_dir).getvalue()
fields = [(':action', 'doc_upload'),
('name', name), ('version', version)]
files = [('content', name, zip_data)]
request = self.encode_request(fields, files)
return self.send_request(request) | [
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train | PackageIndex.get_verify_command | Return a suitable command for verifying a file.
:param signature_filename: The pathname to the file containing the
signature.
:param data_filename: The pathname to the file containing the
signed data.
:param keystore: The path to a directory which contains the keys
used in verification. If not specified, the
instance's ``gpg_home`` attribute is used instead.
:return: The verifying command as a list suitable to be
passed to :class:`subprocess.Popen`. | pipenv/vendor/distlib/index.py | def get_verify_command(self, signature_filename, data_filename,
keystore=None):
"""
Return a suitable command for verifying a file.
:param signature_filename: The pathname to the file containing the
signature.
:param data_filename: The pathname to the file containing the
signed data.
:param keystore: The path to a directory which contains the keys
used in verification. If not specified, the
instance's ``gpg_home`` attribute is used instead.
:return: The verifying command as a list suitable to be
passed to :class:`subprocess.Popen`.
"""
cmd = [self.gpg, '--status-fd', '2', '--no-tty']
if keystore is None:
keystore = self.gpg_home
if keystore:
cmd.extend(['--homedir', keystore])
cmd.extend(['--verify', signature_filename, data_filename])
logger.debug('invoking: %s', ' '.join(cmd))
return cmd | def get_verify_command(self, signature_filename, data_filename,
keystore=None):
"""
Return a suitable command for verifying a file.
:param signature_filename: The pathname to the file containing the
signature.
:param data_filename: The pathname to the file containing the
signed data.
:param keystore: The path to a directory which contains the keys
used in verification. If not specified, the
instance's ``gpg_home`` attribute is used instead.
:return: The verifying command as a list suitable to be
passed to :class:`subprocess.Popen`.
"""
cmd = [self.gpg, '--status-fd', '2', '--no-tty']
if keystore is None:
keystore = self.gpg_home
if keystore:
cmd.extend(['--homedir', keystore])
cmd.extend(['--verify', signature_filename, data_filename])
logger.debug('invoking: %s', ' '.join(cmd))
return cmd | [
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train | PackageIndex.verify_signature | Verify a signature for a file.
:param signature_filename: The pathname to the file containing the
signature.
:param data_filename: The pathname to the file containing the
signed data.
:param keystore: The path to a directory which contains the keys
used in verification. If not specified, the
instance's ``gpg_home`` attribute is used instead.
:return: True if the signature was verified, else False. | pipenv/vendor/distlib/index.py | def verify_signature(self, signature_filename, data_filename,
keystore=None):
"""
Verify a signature for a file.
:param signature_filename: The pathname to the file containing the
signature.
:param data_filename: The pathname to the file containing the
signed data.
:param keystore: The path to a directory which contains the keys
used in verification. If not specified, the
instance's ``gpg_home`` attribute is used instead.
:return: True if the signature was verified, else False.
"""
if not self.gpg:
raise DistlibException('verification unavailable because gpg '
'unavailable')
cmd = self.get_verify_command(signature_filename, data_filename,
keystore)
rc, stdout, stderr = self.run_command(cmd)
if rc not in (0, 1):
raise DistlibException('verify command failed with error '
'code %s' % rc)
return rc == 0 | def verify_signature(self, signature_filename, data_filename,
keystore=None):
"""
Verify a signature for a file.
:param signature_filename: The pathname to the file containing the
signature.
:param data_filename: The pathname to the file containing the
signed data.
:param keystore: The path to a directory which contains the keys
used in verification. If not specified, the
instance's ``gpg_home`` attribute is used instead.
:return: True if the signature was verified, else False.
"""
if not self.gpg:
raise DistlibException('verification unavailable because gpg '
'unavailable')
cmd = self.get_verify_command(signature_filename, data_filename,
keystore)
rc, stdout, stderr = self.run_command(cmd)
if rc not in (0, 1):
raise DistlibException('verify command failed with error '
'code %s' % rc)
return rc == 0 | [
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train | PackageIndex.download_file | This is a convenience method for downloading a file from an URL.
Normally, this will be a file from the index, though currently
no check is made for this (i.e. a file can be downloaded from
anywhere).
The method is just like the :func:`urlretrieve` function in the
standard library, except that it allows digest computation to be
done during download and checking that the downloaded data
matched any expected value.
:param url: The URL of the file to be downloaded (assumed to be
available via an HTTP GET request).
:param destfile: The pathname where the downloaded file is to be
saved.
:param digest: If specified, this must be a (hasher, value)
tuple, where hasher is the algorithm used (e.g.
``'md5'``) and ``value`` is the expected value.
:param reporthook: The same as for :func:`urlretrieve` in the
standard library. | pipenv/vendor/distlib/index.py | def download_file(self, url, destfile, digest=None, reporthook=None):
"""
This is a convenience method for downloading a file from an URL.
Normally, this will be a file from the index, though currently
no check is made for this (i.e. a file can be downloaded from
anywhere).
The method is just like the :func:`urlretrieve` function in the
standard library, except that it allows digest computation to be
done during download and checking that the downloaded data
matched any expected value.
:param url: The URL of the file to be downloaded (assumed to be
available via an HTTP GET request).
:param destfile: The pathname where the downloaded file is to be
saved.
:param digest: If specified, this must be a (hasher, value)
tuple, where hasher is the algorithm used (e.g.
``'md5'``) and ``value`` is the expected value.
:param reporthook: The same as for :func:`urlretrieve` in the
standard library.
"""
if digest is None:
digester = None
logger.debug('No digest specified')
else:
if isinstance(digest, (list, tuple)):
hasher, digest = digest
else:
hasher = 'md5'
digester = getattr(hashlib, hasher)()
logger.debug('Digest specified: %s' % digest)
# The following code is equivalent to urlretrieve.
# We need to do it this way so that we can compute the
# digest of the file as we go.
with open(destfile, 'wb') as dfp:
# addinfourl is not a context manager on 2.x
# so we have to use try/finally
sfp = self.send_request(Request(url))
try:
headers = sfp.info()
blocksize = 8192
size = -1
read = 0
blocknum = 0
if "content-length" in headers:
size = int(headers["Content-Length"])
if reporthook:
reporthook(blocknum, blocksize, size)
while True:
block = sfp.read(blocksize)
if not block:
break
read += len(block)
dfp.write(block)
if digester:
digester.update(block)
blocknum += 1
if reporthook:
reporthook(blocknum, blocksize, size)
finally:
sfp.close()
# check that we got the whole file, if we can
if size >= 0 and read < size:
raise DistlibException(
'retrieval incomplete: got only %d out of %d bytes'
% (read, size))
# if we have a digest, it must match.
if digester:
actual = digester.hexdigest()
if digest != actual:
raise DistlibException('%s digest mismatch for %s: expected '
'%s, got %s' % (hasher, destfile,
digest, actual))
logger.debug('Digest verified: %s', digest) | def download_file(self, url, destfile, digest=None, reporthook=None):
"""
This is a convenience method for downloading a file from an URL.
Normally, this will be a file from the index, though currently
no check is made for this (i.e. a file can be downloaded from
anywhere).
The method is just like the :func:`urlretrieve` function in the
standard library, except that it allows digest computation to be
done during download and checking that the downloaded data
matched any expected value.
:param url: The URL of the file to be downloaded (assumed to be
available via an HTTP GET request).
:param destfile: The pathname where the downloaded file is to be
saved.
:param digest: If specified, this must be a (hasher, value)
tuple, where hasher is the algorithm used (e.g.
``'md5'``) and ``value`` is the expected value.
:param reporthook: The same as for :func:`urlretrieve` in the
standard library.
"""
if digest is None:
digester = None
logger.debug('No digest specified')
else:
if isinstance(digest, (list, tuple)):
hasher, digest = digest
else:
hasher = 'md5'
digester = getattr(hashlib, hasher)()
logger.debug('Digest specified: %s' % digest)
# The following code is equivalent to urlretrieve.
# We need to do it this way so that we can compute the
# digest of the file as we go.
with open(destfile, 'wb') as dfp:
# addinfourl is not a context manager on 2.x
# so we have to use try/finally
sfp = self.send_request(Request(url))
try:
headers = sfp.info()
blocksize = 8192
size = -1
read = 0
blocknum = 0
if "content-length" in headers:
size = int(headers["Content-Length"])
if reporthook:
reporthook(blocknum, blocksize, size)
while True:
block = sfp.read(blocksize)
if not block:
break
read += len(block)
dfp.write(block)
if digester:
digester.update(block)
blocknum += 1
if reporthook:
reporthook(blocknum, blocksize, size)
finally:
sfp.close()
# check that we got the whole file, if we can
if size >= 0 and read < size:
raise DistlibException(
'retrieval incomplete: got only %d out of %d bytes'
% (read, size))
# if we have a digest, it must match.
if digester:
actual = digester.hexdigest()
if digest != actual:
raise DistlibException('%s digest mismatch for %s: expected '
'%s, got %s' % (hasher, destfile,
digest, actual))
logger.debug('Digest verified: %s', digest) | [
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train | PackageIndex.send_request | Send a standard library :class:`Request` to PyPI and return its
response.
:param req: The request to send.
:return: The HTTP response from PyPI (a standard library HTTPResponse). | pipenv/vendor/distlib/index.py | def send_request(self, req):
"""
Send a standard library :class:`Request` to PyPI and return its
response.
:param req: The request to send.
:return: The HTTP response from PyPI (a standard library HTTPResponse).
"""
handlers = []
if self.password_handler:
handlers.append(self.password_handler)
if self.ssl_verifier:
handlers.append(self.ssl_verifier)
opener = build_opener(*handlers)
return opener.open(req) | def send_request(self, req):
"""
Send a standard library :class:`Request` to PyPI and return its
response.
:param req: The request to send.
:return: The HTTP response from PyPI (a standard library HTTPResponse).
"""
handlers = []
if self.password_handler:
handlers.append(self.password_handler)
if self.ssl_verifier:
handlers.append(self.ssl_verifier)
opener = build_opener(*handlers)
return opener.open(req) | [
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train | PackageIndex.encode_request | Encode fields and files for posting to an HTTP server.
:param fields: The fields to send as a list of (fieldname, value)
tuples.
:param files: The files to send as a list of (fieldname, filename,
file_bytes) tuple. | pipenv/vendor/distlib/index.py | def encode_request(self, fields, files):
"""
Encode fields and files for posting to an HTTP server.
:param fields: The fields to send as a list of (fieldname, value)
tuples.
:param files: The files to send as a list of (fieldname, filename,
file_bytes) tuple.
"""
# Adapted from packaging, which in turn was adapted from
# http://code.activestate.com/recipes/146306
parts = []
boundary = self.boundary
for k, values in fields:
if not isinstance(values, (list, tuple)):
values = [values]
for v in values:
parts.extend((
b'--' + boundary,
('Content-Disposition: form-data; name="%s"' %
k).encode('utf-8'),
b'',
v.encode('utf-8')))
for key, filename, value in files:
parts.extend((
b'--' + boundary,
('Content-Disposition: form-data; name="%s"; filename="%s"' %
(key, filename)).encode('utf-8'),
b'',
value))
parts.extend((b'--' + boundary + b'--', b''))
body = b'\r\n'.join(parts)
ct = b'multipart/form-data; boundary=' + boundary
headers = {
'Content-type': ct,
'Content-length': str(len(body))
}
return Request(self.url, body, headers) | def encode_request(self, fields, files):
"""
Encode fields and files for posting to an HTTP server.
:param fields: The fields to send as a list of (fieldname, value)
tuples.
:param files: The files to send as a list of (fieldname, filename,
file_bytes) tuple.
"""
# Adapted from packaging, which in turn was adapted from
# http://code.activestate.com/recipes/146306
parts = []
boundary = self.boundary
for k, values in fields:
if not isinstance(values, (list, tuple)):
values = [values]
for v in values:
parts.extend((
b'--' + boundary,
('Content-Disposition: form-data; name="%s"' %
k).encode('utf-8'),
b'',
v.encode('utf-8')))
for key, filename, value in files:
parts.extend((
b'--' + boundary,
('Content-Disposition: form-data; name="%s"; filename="%s"' %
(key, filename)).encode('utf-8'),
b'',
value))
parts.extend((b'--' + boundary + b'--', b''))
body = b'\r\n'.join(parts)
ct = b'multipart/form-data; boundary=' + boundary
headers = {
'Content-type': ct,
'Content-length': str(len(body))
}
return Request(self.url, body, headers) | [
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train | do_bash_complete | Do the completion for bash
Parameters
----------
cli : click.Command
The main click Command of the program
prog_name : str
The program name on the command line
Returns
-------
bool
True if the completion was successful, False otherwise | pipenv/vendor/click_completion/core.py | def do_bash_complete(cli, prog_name):
"""Do the completion for bash
Parameters
----------
cli : click.Command
The main click Command of the program
prog_name : str
The program name on the command line
Returns
-------
bool
True if the completion was successful, False otherwise
"""
comp_words = os.environ['COMP_WORDS']
try:
cwords = shlex.split(comp_words)
quoted = False
except ValueError: # No closing quotation
cwords = split_args(comp_words)
quoted = True
cword = int(os.environ['COMP_CWORD'])
args = cwords[1:cword]
try:
incomplete = cwords[cword]
except IndexError:
incomplete = ''
choices = get_choices(cli, prog_name, args, incomplete)
if quoted:
echo('\t'.join(opt for opt, _ in choices), nl=False)
else:
echo('\t'.join(re.sub(r"""([\s\\"'()])""", r'\\\1', opt) for opt, _ in choices), nl=False)
return True | def do_bash_complete(cli, prog_name):
"""Do the completion for bash
Parameters
----------
cli : click.Command
The main click Command of the program
prog_name : str
The program name on the command line
Returns
-------
bool
True if the completion was successful, False otherwise
"""
comp_words = os.environ['COMP_WORDS']
try:
cwords = shlex.split(comp_words)
quoted = False
except ValueError: # No closing quotation
cwords = split_args(comp_words)
quoted = True
cword = int(os.environ['COMP_CWORD'])
args = cwords[1:cword]
try:
incomplete = cwords[cword]
except IndexError:
incomplete = ''
choices = get_choices(cli, prog_name, args, incomplete)
if quoted:
echo('\t'.join(opt for opt, _ in choices), nl=False)
else:
echo('\t'.join(re.sub(r"""([\s\\"'()])""", r'\\\1', opt) for opt, _ in choices), nl=False)
return True | [
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train | do_fish_complete | Do the fish completion
Parameters
----------
cli : click.Command
The main click Command of the program
prog_name : str
The program name on the command line
Returns
-------
bool
True if the completion was successful, False otherwise | pipenv/vendor/click_completion/core.py | def do_fish_complete(cli, prog_name):
"""Do the fish completion
Parameters
----------
cli : click.Command
The main click Command of the program
prog_name : str
The program name on the command line
Returns
-------
bool
True if the completion was successful, False otherwise
"""
commandline = os.environ['COMMANDLINE']
args = split_args(commandline)[1:]
if args and not commandline.endswith(' '):
incomplete = args[-1]
args = args[:-1]
else:
incomplete = ''
for item, help in get_choices(cli, prog_name, args, incomplete):
if help:
echo("%s\t%s" % (item, re.sub('\s', ' ', help)))
else:
echo(item)
return True | def do_fish_complete(cli, prog_name):
"""Do the fish completion
Parameters
----------
cli : click.Command
The main click Command of the program
prog_name : str
The program name on the command line
Returns
-------
bool
True if the completion was successful, False otherwise
"""
commandline = os.environ['COMMANDLINE']
args = split_args(commandline)[1:]
if args and not commandline.endswith(' '):
incomplete = args[-1]
args = args[:-1]
else:
incomplete = ''
for item, help in get_choices(cli, prog_name, args, incomplete):
if help:
echo("%s\t%s" % (item, re.sub('\s', ' ', help)))
else:
echo(item)
return True | [
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train | do_powershell_complete | Do the powershell completion
Parameters
----------
cli : click.Command
The main click Command of the program
prog_name : str
The program name on the command line
Returns
-------
bool
True if the completion was successful, False otherwise | pipenv/vendor/click_completion/core.py | def do_powershell_complete(cli, prog_name):
"""Do the powershell completion
Parameters
----------
cli : click.Command
The main click Command of the program
prog_name : str
The program name on the command line
Returns
-------
bool
True if the completion was successful, False otherwise
"""
commandline = os.environ['COMMANDLINE']
args = split_args(commandline)[1:]
quote = single_quote
incomplete = ''
if args and not commandline.endswith(' '):
incomplete = args[-1]
args = args[:-1]
quote_pos = commandline.rfind(incomplete) - 1
if quote_pos >= 0 and commandline[quote_pos] == '"':
quote = double_quote
for item, help in get_choices(cli, prog_name, args, incomplete):
echo(quote(item))
return True | def do_powershell_complete(cli, prog_name):
"""Do the powershell completion
Parameters
----------
cli : click.Command
The main click Command of the program
prog_name : str
The program name on the command line
Returns
-------
bool
True if the completion was successful, False otherwise
"""
commandline = os.environ['COMMANDLINE']
args = split_args(commandline)[1:]
quote = single_quote
incomplete = ''
if args and not commandline.endswith(' '):
incomplete = args[-1]
args = args[:-1]
quote_pos = commandline.rfind(incomplete) - 1
if quote_pos >= 0 and commandline[quote_pos] == '"':
quote = double_quote
for item, help in get_choices(cli, prog_name, args, incomplete):
echo(quote(item))
return True | [
"Do",
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] | pypa/pipenv | python | https://github.com/pypa/pipenv/blob/cae8d76c210b9777e90aab76e9c4b0e53bb19cde/pipenv/vendor/click_completion/core.py#L250-L279 | [
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train | get_code | Returns the completion code to be evaluated by the shell
Parameters
----------
shell : Shell
The shell type (Default value = None)
prog_name : str
The program name on the command line (Default value = None)
env_name : str
The environment variable used to control the completion (Default value = None)
extra_env : dict
Some extra environment variables to be added to the generated code (Default value = None)
Returns
-------
str
The code to be evaluated by the shell | pipenv/vendor/click_completion/core.py | def get_code(shell=None, prog_name=None, env_name=None, extra_env=None):
"""Returns the completion code to be evaluated by the shell
Parameters
----------
shell : Shell
The shell type (Default value = None)
prog_name : str
The program name on the command line (Default value = None)
env_name : str
The environment variable used to control the completion (Default value = None)
extra_env : dict
Some extra environment variables to be added to the generated code (Default value = None)
Returns
-------
str
The code to be evaluated by the shell
"""
from jinja2 import Environment, FileSystemLoader
if shell in [None, 'auto']:
shell = get_auto_shell()
if not isinstance(shell, Shell):
shell = Shell[shell]
prog_name = prog_name or click.get_current_context().find_root().info_name
env_name = env_name or '_%s_COMPLETE' % prog_name.upper().replace('-', '_')
extra_env = extra_env if extra_env else {}
env = Environment(loader=FileSystemLoader(os.path.dirname(__file__)))
template = env.get_template('%s.j2' % shell.name)
return template.render(prog_name=prog_name, complete_var=env_name, extra_env=extra_env) | def get_code(shell=None, prog_name=None, env_name=None, extra_env=None):
"""Returns the completion code to be evaluated by the shell
Parameters
----------
shell : Shell
The shell type (Default value = None)
prog_name : str
The program name on the command line (Default value = None)
env_name : str
The environment variable used to control the completion (Default value = None)
extra_env : dict
Some extra environment variables to be added to the generated code (Default value = None)
Returns
-------
str
The code to be evaluated by the shell
"""
from jinja2 import Environment, FileSystemLoader
if shell in [None, 'auto']:
shell = get_auto_shell()
if not isinstance(shell, Shell):
shell = Shell[shell]
prog_name = prog_name or click.get_current_context().find_root().info_name
env_name = env_name or '_%s_COMPLETE' % prog_name.upper().replace('-', '_')
extra_env = extra_env if extra_env else {}
env = Environment(loader=FileSystemLoader(os.path.dirname(__file__)))
template = env.get_template('%s.j2' % shell.name)
return template.render(prog_name=prog_name, complete_var=env_name, extra_env=extra_env) | [
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train | install | Install the completion
Parameters
----------
shell : Shell
The shell type targeted. It will be guessed with get_auto_shell() if the value is None (Default value = None)
prog_name : str
The program name on the command line. It will be automatically computed if the value is None
(Default value = None)
env_name : str
The environment variable name used to control the completion. It will be automatically computed if the value is
None (Default value = None)
path : str
The installation path of the code to be evaluated by the shell. The standard installation path is used if the
value is None (Default value = None)
append : bool
Whether to append the content to the file or to override it. The default behavior depends on the shell type
(Default value = None)
extra_env : dict
A set of environment variables and their values to be added to the generated code (Default value = None) | pipenv/vendor/click_completion/core.py | def install(shell=None, prog_name=None, env_name=None, path=None, append=None, extra_env=None):
"""Install the completion
Parameters
----------
shell : Shell
The shell type targeted. It will be guessed with get_auto_shell() if the value is None (Default value = None)
prog_name : str
The program name on the command line. It will be automatically computed if the value is None
(Default value = None)
env_name : str
The environment variable name used to control the completion. It will be automatically computed if the value is
None (Default value = None)
path : str
The installation path of the code to be evaluated by the shell. The standard installation path is used if the
value is None (Default value = None)
append : bool
Whether to append the content to the file or to override it. The default behavior depends on the shell type
(Default value = None)
extra_env : dict
A set of environment variables and their values to be added to the generated code (Default value = None)
"""
prog_name = prog_name or click.get_current_context().find_root().info_name
shell = shell or get_auto_shell()
if append is None and path is not None:
append = True
if append is not None:
mode = 'a' if append else 'w'
else:
mode = None
if shell == 'fish':
path = path or os.path.expanduser('~') + '/.config/fish/completions/%s.fish' % prog_name
mode = mode or 'w'
elif shell == 'bash':
path = path or os.path.expanduser('~') + '/.bash_completion'
mode = mode or 'a'
elif shell == 'zsh':
ohmyzsh = os.path.expanduser('~') + '/.oh-my-zsh'
if os.path.exists(ohmyzsh):
path = path or ohmyzsh + '/completions/_%s' % prog_name
mode = mode or 'w'
else:
path = path or os.path.expanduser('~') + '/.zshrc'
mode = mode or 'a'
elif shell == 'powershell':
subprocess.check_call(['powershell', 'Set-ExecutionPolicy Unrestricted -Scope CurrentUser'])
path = path or subprocess.check_output(['powershell', '-NoProfile', 'echo $profile']).strip() if install else ''
mode = mode or 'a'
else:
raise click.ClickException('%s is not supported.' % shell)
if append is not None:
mode = 'a' if append else 'w'
else:
mode = mode
d = os.path.dirname(path)
if not os.path.exists(d):
os.makedirs(d)
f = open(path, mode)
f.write(get_code(shell, prog_name, env_name, extra_env))
f.write("\n")
f.close()
return shell, path | def install(shell=None, prog_name=None, env_name=None, path=None, append=None, extra_env=None):
"""Install the completion
Parameters
----------
shell : Shell
The shell type targeted. It will be guessed with get_auto_shell() if the value is None (Default value = None)
prog_name : str
The program name on the command line. It will be automatically computed if the value is None
(Default value = None)
env_name : str
The environment variable name used to control the completion. It will be automatically computed if the value is
None (Default value = None)
path : str
The installation path of the code to be evaluated by the shell. The standard installation path is used if the
value is None (Default value = None)
append : bool
Whether to append the content to the file or to override it. The default behavior depends on the shell type
(Default value = None)
extra_env : dict
A set of environment variables and their values to be added to the generated code (Default value = None)
"""
prog_name = prog_name or click.get_current_context().find_root().info_name
shell = shell or get_auto_shell()
if append is None and path is not None:
append = True
if append is not None:
mode = 'a' if append else 'w'
else:
mode = None
if shell == 'fish':
path = path or os.path.expanduser('~') + '/.config/fish/completions/%s.fish' % prog_name
mode = mode or 'w'
elif shell == 'bash':
path = path or os.path.expanduser('~') + '/.bash_completion'
mode = mode or 'a'
elif shell == 'zsh':
ohmyzsh = os.path.expanduser('~') + '/.oh-my-zsh'
if os.path.exists(ohmyzsh):
path = path or ohmyzsh + '/completions/_%s' % prog_name
mode = mode or 'w'
else:
path = path or os.path.expanduser('~') + '/.zshrc'
mode = mode or 'a'
elif shell == 'powershell':
subprocess.check_call(['powershell', 'Set-ExecutionPolicy Unrestricted -Scope CurrentUser'])
path = path or subprocess.check_output(['powershell', '-NoProfile', 'echo $profile']).strip() if install else ''
mode = mode or 'a'
else:
raise click.ClickException('%s is not supported.' % shell)
if append is not None:
mode = 'a' if append else 'w'
else:
mode = mode
d = os.path.dirname(path)
if not os.path.exists(d):
os.makedirs(d)
f = open(path, mode)
f.write(get_code(shell, prog_name, env_name, extra_env))
f.write("\n")
f.close()
return shell, path | [
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train | getTreeBuilder | Get a TreeBuilder class for various types of trees with built-in support
:arg treeType: the name of the tree type required (case-insensitive). Supported
values are:
* "dom" - A generic builder for DOM implementations, defaulting to a
xml.dom.minidom based implementation.
* "etree" - A generic builder for tree implementations exposing an
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* "lxml" - A etree-based builder for lxml.etree, handling limitations
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:arg implementation: (Currently applies to the "etree" and "dom" tree
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or xml.etree.cElementTree.
:arg kwargs: Any additional options to pass to the TreeBuilder when
creating it.
Example:
>>> from html5lib.treebuilders import getTreeBuilder
>>> builder = getTreeBuilder('etree') | pipenv/patched/notpip/_vendor/html5lib/treebuilders/__init__.py | def getTreeBuilder(treeType, implementation=None, **kwargs):
"""Get a TreeBuilder class for various types of trees with built-in support
:arg treeType: the name of the tree type required (case-insensitive). Supported
values are:
* "dom" - A generic builder for DOM implementations, defaulting to a
xml.dom.minidom based implementation.
* "etree" - A generic builder for tree implementations exposing an
ElementTree-like interface, defaulting to xml.etree.cElementTree if
available and xml.etree.ElementTree if not.
* "lxml" - A etree-based builder for lxml.etree, handling limitations
of lxml's implementation.
:arg implementation: (Currently applies to the "etree" and "dom" tree
types). A module implementing the tree type e.g. xml.etree.ElementTree
or xml.etree.cElementTree.
:arg kwargs: Any additional options to pass to the TreeBuilder when
creating it.
Example:
>>> from html5lib.treebuilders import getTreeBuilder
>>> builder = getTreeBuilder('etree')
"""
treeType = treeType.lower()
if treeType not in treeBuilderCache:
if treeType == "dom":
from . import dom
# Come up with a sane default (pref. from the stdlib)
if implementation is None:
from xml.dom import minidom
implementation = minidom
# NEVER cache here, caching is done in the dom submodule
return dom.getDomModule(implementation, **kwargs).TreeBuilder
elif treeType == "lxml":
from . import etree_lxml
treeBuilderCache[treeType] = etree_lxml.TreeBuilder
elif treeType == "etree":
from . import etree
if implementation is None:
implementation = default_etree
# NEVER cache here, caching is done in the etree submodule
return etree.getETreeModule(implementation, **kwargs).TreeBuilder
else:
raise ValueError("""Unrecognised treebuilder "%s" """ % treeType)
return treeBuilderCache.get(treeType) | def getTreeBuilder(treeType, implementation=None, **kwargs):
"""Get a TreeBuilder class for various types of trees with built-in support
:arg treeType: the name of the tree type required (case-insensitive). Supported
values are:
* "dom" - A generic builder for DOM implementations, defaulting to a
xml.dom.minidom based implementation.
* "etree" - A generic builder for tree implementations exposing an
ElementTree-like interface, defaulting to xml.etree.cElementTree if
available and xml.etree.ElementTree if not.
* "lxml" - A etree-based builder for lxml.etree, handling limitations
of lxml's implementation.
:arg implementation: (Currently applies to the "etree" and "dom" tree
types). A module implementing the tree type e.g. xml.etree.ElementTree
or xml.etree.cElementTree.
:arg kwargs: Any additional options to pass to the TreeBuilder when
creating it.
Example:
>>> from html5lib.treebuilders import getTreeBuilder
>>> builder = getTreeBuilder('etree')
"""
treeType = treeType.lower()
if treeType not in treeBuilderCache:
if treeType == "dom":
from . import dom
# Come up with a sane default (pref. from the stdlib)
if implementation is None:
from xml.dom import minidom
implementation = minidom
# NEVER cache here, caching is done in the dom submodule
return dom.getDomModule(implementation, **kwargs).TreeBuilder
elif treeType == "lxml":
from . import etree_lxml
treeBuilderCache[treeType] = etree_lxml.TreeBuilder
elif treeType == "etree":
from . import etree
if implementation is None:
implementation = default_etree
# NEVER cache here, caching is done in the etree submodule
return etree.getETreeModule(implementation, **kwargs).TreeBuilder
else:
raise ValueError("""Unrecognised treebuilder "%s" """ % treeType)
return treeBuilderCache.get(treeType) | [
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train | choose_boundary | Our embarrassingly-simple replacement for mimetools.choose_boundary. | pipenv/vendor/urllib3/filepost.py | def choose_boundary():
"""
Our embarrassingly-simple replacement for mimetools.choose_boundary.
"""
boundary = binascii.hexlify(os.urandom(16))
if six.PY3:
boundary = boundary.decode('ascii')
return boundary | def choose_boundary():
"""
Our embarrassingly-simple replacement for mimetools.choose_boundary.
"""
boundary = binascii.hexlify(os.urandom(16))
if six.PY3:
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train | iter_field_objects | Iterate over fields.
Supports list of (k, v) tuples and dicts, and lists of
:class:`~urllib3.fields.RequestField`. | pipenv/vendor/urllib3/filepost.py | def iter_field_objects(fields):
"""
Iterate over fields.
Supports list of (k, v) tuples and dicts, and lists of
:class:`~urllib3.fields.RequestField`.
"""
if isinstance(fields, dict):
i = six.iteritems(fields)
else:
i = iter(fields)
for field in i:
if isinstance(field, RequestField):
yield field
else:
yield RequestField.from_tuples(*field) | def iter_field_objects(fields):
"""
Iterate over fields.
Supports list of (k, v) tuples and dicts, and lists of
:class:`~urllib3.fields.RequestField`.
"""
if isinstance(fields, dict):
i = six.iteritems(fields)
else:
i = iter(fields)
for field in i:
if isinstance(field, RequestField):
yield field
else:
yield RequestField.from_tuples(*field) | [
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train | iter_fields | .. deprecated:: 1.6
Iterate over fields.
The addition of :class:`~urllib3.fields.RequestField` makes this function
obsolete. Instead, use :func:`iter_field_objects`, which returns
:class:`~urllib3.fields.RequestField` objects.
Supports list of (k, v) tuples and dicts. | pipenv/vendor/urllib3/filepost.py | def iter_fields(fields):
"""
.. deprecated:: 1.6
Iterate over fields.
The addition of :class:`~urllib3.fields.RequestField` makes this function
obsolete. Instead, use :func:`iter_field_objects`, which returns
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Supports list of (k, v) tuples and dicts.
"""
if isinstance(fields, dict):
return ((k, v) for k, v in six.iteritems(fields))
return ((k, v) for k, v in fields) | def iter_fields(fields):
"""
.. deprecated:: 1.6
Iterate over fields.
The addition of :class:`~urllib3.fields.RequestField` makes this function
obsolete. Instead, use :func:`iter_field_objects`, which returns
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Supports list of (k, v) tuples and dicts.
"""
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return ((k, v) for k, v in fields) | [
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train | encode_multipart_formdata | Encode a dictionary of ``fields`` using the multipart/form-data MIME format.
:param fields:
Dictionary of fields or list of (key, :class:`~urllib3.fields.RequestField`).
:param boundary:
If not specified, then a random boundary will be generated using
:func:`urllib3.filepost.choose_boundary`. | pipenv/vendor/urllib3/filepost.py | def encode_multipart_formdata(fields, boundary=None):
"""
Encode a dictionary of ``fields`` using the multipart/form-data MIME format.
:param fields:
Dictionary of fields or list of (key, :class:`~urllib3.fields.RequestField`).
:param boundary:
If not specified, then a random boundary will be generated using
:func:`urllib3.filepost.choose_boundary`.
"""
body = BytesIO()
if boundary is None:
boundary = choose_boundary()
for field in iter_field_objects(fields):
body.write(b('--%s\r\n' % (boundary)))
writer(body).write(field.render_headers())
data = field.data
if isinstance(data, int):
data = str(data) # Backwards compatibility
if isinstance(data, six.text_type):
writer(body).write(data)
else:
body.write(data)
body.write(b'\r\n')
body.write(b('--%s--\r\n' % (boundary)))
content_type = str('multipart/form-data; boundary=%s' % boundary)
return body.getvalue(), content_type | def encode_multipart_formdata(fields, boundary=None):
"""
Encode a dictionary of ``fields`` using the multipart/form-data MIME format.
:param fields:
Dictionary of fields or list of (key, :class:`~urllib3.fields.RequestField`).
:param boundary:
If not specified, then a random boundary will be generated using
:func:`urllib3.filepost.choose_boundary`.
"""
body = BytesIO()
if boundary is None:
boundary = choose_boundary()
for field in iter_field_objects(fields):
body.write(b('--%s\r\n' % (boundary)))
writer(body).write(field.render_headers())
data = field.data
if isinstance(data, int):
data = str(data) # Backwards compatibility
if isinstance(data, six.text_type):
writer(body).write(data)
else:
body.write(data)
body.write(b'\r\n')
body.write(b('--%s--\r\n' % (boundary)))
content_type = str('multipart/form-data; boundary=%s' % boundary)
return body.getvalue(), content_type | [
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train | finder | Return a resource finder for a package.
:param package: The name of the package.
:return: A :class:`ResourceFinder` instance for the package. | pipenv/vendor/distlib/resources.py | def finder(package):
"""
Return a resource finder for a package.
:param package: The name of the package.
:return: A :class:`ResourceFinder` instance for the package.
"""
if package in _finder_cache:
result = _finder_cache[package]
else:
if package not in sys.modules:
__import__(package)
module = sys.modules[package]
path = getattr(module, '__path__', None)
if path is None:
raise DistlibException('You cannot get a finder for a module, '
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loader = getattr(module, '__loader__', None)
finder_maker = _finder_registry.get(type(loader))
if finder_maker is None:
raise DistlibException('Unable to locate finder for %r' % package)
result = finder_maker(module)
_finder_cache[package] = result
return result | def finder(package):
"""
Return a resource finder for a package.
:param package: The name of the package.
:return: A :class:`ResourceFinder` instance for the package.
"""
if package in _finder_cache:
result = _finder_cache[package]
else:
if package not in sys.modules:
__import__(package)
module = sys.modules[package]
path = getattr(module, '__path__', None)
if path is None:
raise DistlibException('You cannot get a finder for a module, '
'only for a package')
loader = getattr(module, '__loader__', None)
finder_maker = _finder_registry.get(type(loader))
if finder_maker is None:
raise DistlibException('Unable to locate finder for %r' % package)
result = finder_maker(module)
_finder_cache[package] = result
return result | [
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train | finder_for_path | Return a resource finder for a path, which should represent a container.
:param path: The path.
:return: A :class:`ResourceFinder` instance for the path. | pipenv/vendor/distlib/resources.py | def finder_for_path(path):
"""
Return a resource finder for a path, which should represent a container.
:param path: The path.
:return: A :class:`ResourceFinder` instance for the path.
"""
result = None
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pkgutil.get_importer(path)
loader = sys.path_importer_cache.get(path)
finder = _finder_registry.get(type(loader))
if finder:
module = _dummy_module
module.__file__ = os.path.join(path, '')
module.__loader__ = loader
result = finder(module)
return result | def finder_for_path(path):
"""
Return a resource finder for a path, which should represent a container.
:param path: The path.
:return: A :class:`ResourceFinder` instance for the path.
"""
result = None
# calls any path hooks, gets importer into cache
pkgutil.get_importer(path)
loader = sys.path_importer_cache.get(path)
finder = _finder_registry.get(type(loader))
if finder:
module = _dummy_module
module.__file__ = os.path.join(path, '')
module.__loader__ = loader
result = finder(module)
return result | [
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train | ResourceCache.get | Get a resource into the cache,
:param resource: A :class:`Resource` instance.
:return: The pathname of the resource in the cache. | pipenv/vendor/distlib/resources.py | def get(self, resource):
"""
Get a resource into the cache,
:param resource: A :class:`Resource` instance.
:return: The pathname of the resource in the cache.
"""
prefix, path = resource.finder.get_cache_info(resource)
if prefix is None:
result = path
else:
result = os.path.join(self.base, self.prefix_to_dir(prefix), path)
dirname = os.path.dirname(result)
if not os.path.isdir(dirname):
os.makedirs(dirname)
if not os.path.exists(result):
stale = True
else:
stale = self.is_stale(resource, path)
if stale:
# write the bytes of the resource to the cache location
with open(result, 'wb') as f:
f.write(resource.bytes)
return result | def get(self, resource):
"""
Get a resource into the cache,
:param resource: A :class:`Resource` instance.
:return: The pathname of the resource in the cache.
"""
prefix, path = resource.finder.get_cache_info(resource)
if prefix is None:
result = path
else:
result = os.path.join(self.base, self.prefix_to_dir(prefix), path)
dirname = os.path.dirname(result)
if not os.path.isdir(dirname):
os.makedirs(dirname)
if not os.path.exists(result):
stale = True
else:
stale = self.is_stale(resource, path)
if stale:
# write the bytes of the resource to the cache location
with open(result, 'wb') as f:
f.write(resource.bytes)
return result | [
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train | to_sax | Call SAX-like content handler based on treewalker walker
:arg walker: the treewalker to use to walk the tree to convert it
:arg handler: SAX handler to use | pipenv/patched/notpip/_vendor/html5lib/treeadapters/sax.py | def to_sax(walker, handler):
"""Call SAX-like content handler based on treewalker walker
:arg walker: the treewalker to use to walk the tree to convert it
:arg handler: SAX handler to use
"""
handler.startDocument()
for prefix, namespace in prefix_mapping.items():
handler.startPrefixMapping(prefix, namespace)
for token in walker:
type = token["type"]
if type == "Doctype":
continue
elif type in ("StartTag", "EmptyTag"):
attrs = AttributesNSImpl(token["data"],
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handler.startElementNS((token["namespace"], token["name"]),
token["name"],
attrs)
if type == "EmptyTag":
handler.endElementNS((token["namespace"], token["name"]),
token["name"])
elif type == "EndTag":
handler.endElementNS((token["namespace"], token["name"]),
token["name"])
elif type in ("Characters", "SpaceCharacters"):
handler.characters(token["data"])
elif type == "Comment":
pass
else:
assert False, "Unknown token type"
for prefix, namespace in prefix_mapping.items():
handler.endPrefixMapping(prefix)
handler.endDocument() | def to_sax(walker, handler):
"""Call SAX-like content handler based on treewalker walker
:arg walker: the treewalker to use to walk the tree to convert it
:arg handler: SAX handler to use
"""
handler.startDocument()
for prefix, namespace in prefix_mapping.items():
handler.startPrefixMapping(prefix, namespace)
for token in walker:
type = token["type"]
if type == "Doctype":
continue
elif type in ("StartTag", "EmptyTag"):
attrs = AttributesNSImpl(token["data"],
unadjustForeignAttributes)
handler.startElementNS((token["namespace"], token["name"]),
token["name"],
attrs)
if type == "EmptyTag":
handler.endElementNS((token["namespace"], token["name"]),
token["name"])
elif type == "EndTag":
handler.endElementNS((token["namespace"], token["name"]),
token["name"])
elif type in ("Characters", "SpaceCharacters"):
handler.characters(token["data"])
elif type == "Comment":
pass
else:
assert False, "Unknown token type"
for prefix, namespace in prefix_mapping.items():
handler.endPrefixMapping(prefix)
handler.endDocument() | [
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train | retry | Decorator function that instantiates the Retrying object
@param *dargs: positional arguments passed to Retrying object
@param **dkw: keyword arguments passed to the Retrying object | pipenv/patched/notpip/_vendor/retrying.py | def retry(*dargs, **dkw):
"""
Decorator function that instantiates the Retrying object
@param *dargs: positional arguments passed to Retrying object
@param **dkw: keyword arguments passed to the Retrying object
"""
# support both @retry and @retry() as valid syntax
if len(dargs) == 1 and callable(dargs[0]):
def wrap_simple(f):
@six.wraps(f)
def wrapped_f(*args, **kw):
return Retrying().call(f, *args, **kw)
return wrapped_f
return wrap_simple(dargs[0])
else:
def wrap(f):
@six.wraps(f)
def wrapped_f(*args, **kw):
return Retrying(*dargs, **dkw).call(f, *args, **kw)
return wrapped_f
return wrap | def retry(*dargs, **dkw):
"""
Decorator function that instantiates the Retrying object
@param *dargs: positional arguments passed to Retrying object
@param **dkw: keyword arguments passed to the Retrying object
"""
# support both @retry and @retry() as valid syntax
if len(dargs) == 1 and callable(dargs[0]):
def wrap_simple(f):
@six.wraps(f)
def wrapped_f(*args, **kw):
return Retrying().call(f, *args, **kw)
return wrapped_f
return wrap_simple(dargs[0])
else:
def wrap(f):
@six.wraps(f)
def wrapped_f(*args, **kw):
return Retrying(*dargs, **dkw).call(f, *args, **kw)
return wrapped_f
return wrap | [
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train | Retrying.random_sleep | Sleep a random amount of time between wait_random_min and wait_random_max | pipenv/patched/notpip/_vendor/retrying.py | def random_sleep(self, previous_attempt_number, delay_since_first_attempt_ms):
"""Sleep a random amount of time between wait_random_min and wait_random_max"""
return random.randint(self._wait_random_min, self._wait_random_max) | def random_sleep(self, previous_attempt_number, delay_since_first_attempt_ms):
"""Sleep a random amount of time between wait_random_min and wait_random_max"""
return random.randint(self._wait_random_min, self._wait_random_max) | [
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train | Retrying.incrementing_sleep | Sleep an incremental amount of time after each attempt, starting at
wait_incrementing_start and incrementing by wait_incrementing_increment | pipenv/patched/notpip/_vendor/retrying.py | def incrementing_sleep(self, previous_attempt_number, delay_since_first_attempt_ms):
"""
Sleep an incremental amount of time after each attempt, starting at
wait_incrementing_start and incrementing by wait_incrementing_increment
"""
result = self._wait_incrementing_start + (self._wait_incrementing_increment * (previous_attempt_number - 1))
if result < 0:
result = 0
return result | def incrementing_sleep(self, previous_attempt_number, delay_since_first_attempt_ms):
"""
Sleep an incremental amount of time after each attempt, starting at
wait_incrementing_start and incrementing by wait_incrementing_increment
"""
result = self._wait_incrementing_start + (self._wait_incrementing_increment * (previous_attempt_number - 1))
if result < 0:
result = 0
return result | [
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train | Attempt.get | Return the return value of this Attempt instance or raise an Exception.
If wrap_exception is true, this Attempt is wrapped inside of a
RetryError before being raised. | pipenv/patched/notpip/_vendor/retrying.py | def get(self, wrap_exception=False):
"""
Return the return value of this Attempt instance or raise an Exception.
If wrap_exception is true, this Attempt is wrapped inside of a
RetryError before being raised.
"""
if self.has_exception:
if wrap_exception:
raise RetryError(self)
else:
six.reraise(self.value[0], self.value[1], self.value[2])
else:
return self.value | def get(self, wrap_exception=False):
"""
Return the return value of this Attempt instance or raise an Exception.
If wrap_exception is true, this Attempt is wrapped inside of a
RetryError before being raised.
"""
if self.has_exception:
if wrap_exception:
raise RetryError(self)
else:
six.reraise(self.value[0], self.value[1], self.value[2])
else:
return self.value | [
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train | safe_range | A range that can't generate ranges with a length of more than
MAX_RANGE items. | pipenv/vendor/jinja2/sandbox.py | def safe_range(*args):
"""A range that can't generate ranges with a length of more than
MAX_RANGE items.
"""
rng = range(*args)
if len(rng) > MAX_RANGE:
raise OverflowError('range too big, maximum size for range is %d' %
MAX_RANGE)
return rng | def safe_range(*args):
"""A range that can't generate ranges with a length of more than
MAX_RANGE items.
"""
rng = range(*args)
if len(rng) > MAX_RANGE:
raise OverflowError('range too big, maximum size for range is %d' %
MAX_RANGE)
return rng | [
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train | is_internal_attribute | Test if the attribute given is an internal python attribute. For
example this function returns `True` for the `func_code` attribute of
python objects. This is useful if the environment method
:meth:`~SandboxedEnvironment.is_safe_attribute` is overridden.
>>> from jinja2.sandbox import is_internal_attribute
>>> is_internal_attribute(str, "mro")
True
>>> is_internal_attribute(str, "upper")
False | pipenv/vendor/jinja2/sandbox.py | def is_internal_attribute(obj, attr):
"""Test if the attribute given is an internal python attribute. For
example this function returns `True` for the `func_code` attribute of
python objects. This is useful if the environment method
:meth:`~SandboxedEnvironment.is_safe_attribute` is overridden.
>>> from jinja2.sandbox import is_internal_attribute
>>> is_internal_attribute(str, "mro")
True
>>> is_internal_attribute(str, "upper")
False
"""
if isinstance(obj, types.FunctionType):
if attr in UNSAFE_FUNCTION_ATTRIBUTES:
return True
elif isinstance(obj, types.MethodType):
if attr in UNSAFE_FUNCTION_ATTRIBUTES or \
attr in UNSAFE_METHOD_ATTRIBUTES:
return True
elif isinstance(obj, type):
if attr == 'mro':
return True
elif isinstance(obj, (types.CodeType, types.TracebackType, types.FrameType)):
return True
elif isinstance(obj, types.GeneratorType):
if attr in UNSAFE_GENERATOR_ATTRIBUTES:
return True
elif hasattr(types, 'CoroutineType') and isinstance(obj, types.CoroutineType):
if attr in UNSAFE_COROUTINE_ATTRIBUTES:
return True
elif hasattr(types, 'AsyncGeneratorType') and isinstance(obj, types.AsyncGeneratorType):
if attr in UNSAFE_ASYNC_GENERATOR_ATTRIBUTES:
return True
return attr.startswith('__') | def is_internal_attribute(obj, attr):
"""Test if the attribute given is an internal python attribute. For
example this function returns `True` for the `func_code` attribute of
python objects. This is useful if the environment method
:meth:`~SandboxedEnvironment.is_safe_attribute` is overridden.
>>> from jinja2.sandbox import is_internal_attribute
>>> is_internal_attribute(str, "mro")
True
>>> is_internal_attribute(str, "upper")
False
"""
if isinstance(obj, types.FunctionType):
if attr in UNSAFE_FUNCTION_ATTRIBUTES:
return True
elif isinstance(obj, types.MethodType):
if attr in UNSAFE_FUNCTION_ATTRIBUTES or \
attr in UNSAFE_METHOD_ATTRIBUTES:
return True
elif isinstance(obj, type):
if attr == 'mro':
return True
elif isinstance(obj, (types.CodeType, types.TracebackType, types.FrameType)):
return True
elif isinstance(obj, types.GeneratorType):
if attr in UNSAFE_GENERATOR_ATTRIBUTES:
return True
elif hasattr(types, 'CoroutineType') and isinstance(obj, types.CoroutineType):
if attr in UNSAFE_COROUTINE_ATTRIBUTES:
return True
elif hasattr(types, 'AsyncGeneratorType') and isinstance(obj, types.AsyncGeneratorType):
if attr in UNSAFE_ASYNC_GENERATOR_ATTRIBUTES:
return True
return attr.startswith('__') | [
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train | modifies_known_mutable | This function checks if an attribute on a builtin mutable object
(list, dict, set or deque) would modify it if called. It also supports
the "user"-versions of the objects (`sets.Set`, `UserDict.*` etc.) and
with Python 2.6 onwards the abstract base classes `MutableSet`,
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>>> modifies_known_mutable({}, "clear")
True
>>> modifies_known_mutable({}, "keys")
False
>>> modifies_known_mutable([], "append")
True
>>> modifies_known_mutable([], "index")
False
If called with an unsupported object (such as unicode) `False` is
returned.
>>> modifies_known_mutable("foo", "upper")
False | pipenv/vendor/jinja2/sandbox.py | def modifies_known_mutable(obj, attr):
"""This function checks if an attribute on a builtin mutable object
(list, dict, set or deque) would modify it if called. It also supports
the "user"-versions of the objects (`sets.Set`, `UserDict.*` etc.) and
with Python 2.6 onwards the abstract base classes `MutableSet`,
`MutableMapping`, and `MutableSequence`.
>>> modifies_known_mutable({}, "clear")
True
>>> modifies_known_mutable({}, "keys")
False
>>> modifies_known_mutable([], "append")
True
>>> modifies_known_mutable([], "index")
False
If called with an unsupported object (such as unicode) `False` is
returned.
>>> modifies_known_mutable("foo", "upper")
False
"""
for typespec, unsafe in _mutable_spec:
if isinstance(obj, typespec):
return attr in unsafe
return False | def modifies_known_mutable(obj, attr):
"""This function checks if an attribute on a builtin mutable object
(list, dict, set or deque) would modify it if called. It also supports
the "user"-versions of the objects (`sets.Set`, `UserDict.*` etc.) and
with Python 2.6 onwards the abstract base classes `MutableSet`,
`MutableMapping`, and `MutableSequence`.
>>> modifies_known_mutable({}, "clear")
True
>>> modifies_known_mutable({}, "keys")
False
>>> modifies_known_mutable([], "append")
True
>>> modifies_known_mutable([], "index")
False
If called with an unsupported object (such as unicode) `False` is
returned.
>>> modifies_known_mutable("foo", "upper")
False
"""
for typespec, unsafe in _mutable_spec:
if isinstance(obj, typespec):
return attr in unsafe
return False | [
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train | SandboxedEnvironment.is_safe_attribute | The sandboxed environment will call this method to check if the
attribute of an object is safe to access. Per default all attributes
starting with an underscore are considered private as well as the
special attributes of internal python objects as returned by the
:func:`is_internal_attribute` function. | pipenv/vendor/jinja2/sandbox.py | def is_safe_attribute(self, obj, attr, value):
"""The sandboxed environment will call this method to check if the
attribute of an object is safe to access. Per default all attributes
starting with an underscore are considered private as well as the
special attributes of internal python objects as returned by the
:func:`is_internal_attribute` function.
"""
return not (attr.startswith('_') or is_internal_attribute(obj, attr)) | def is_safe_attribute(self, obj, attr, value):
"""The sandboxed environment will call this method to check if the
attribute of an object is safe to access. Per default all attributes
starting with an underscore are considered private as well as the
special attributes of internal python objects as returned by the
:func:`is_internal_attribute` function.
"""
return not (attr.startswith('_') or is_internal_attribute(obj, attr)) | [
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train | SandboxedEnvironment.call_binop | For intercepted binary operator calls (:meth:`intercepted_binops`)
this function is executed instead of the builtin operator. This can
be used to fine tune the behavior of certain operators.
.. versionadded:: 2.6 | pipenv/vendor/jinja2/sandbox.py | def call_binop(self, context, operator, left, right):
"""For intercepted binary operator calls (:meth:`intercepted_binops`)
this function is executed instead of the builtin operator. This can
be used to fine tune the behavior of certain operators.
.. versionadded:: 2.6
"""
return self.binop_table[operator](left, right) | def call_binop(self, context, operator, left, right):
"""For intercepted binary operator calls (:meth:`intercepted_binops`)
this function is executed instead of the builtin operator. This can
be used to fine tune the behavior of certain operators.
.. versionadded:: 2.6
"""
return self.binop_table[operator](left, right) | [
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train | SandboxedEnvironment.getattr | Subscribe an object from sandboxed code and prefer the
attribute. The attribute passed *must* be a bytestring. | pipenv/vendor/jinja2/sandbox.py | def getattr(self, obj, attribute):
"""Subscribe an object from sandboxed code and prefer the
attribute. The attribute passed *must* be a bytestring.
"""
try:
value = getattr(obj, attribute)
except AttributeError:
try:
return obj[attribute]
except (TypeError, LookupError):
pass
else:
if self.is_safe_attribute(obj, attribute, value):
return value
return self.unsafe_undefined(obj, attribute)
return self.undefined(obj=obj, name=attribute) | def getattr(self, obj, attribute):
"""Subscribe an object from sandboxed code and prefer the
attribute. The attribute passed *must* be a bytestring.
"""
try:
value = getattr(obj, attribute)
except AttributeError:
try:
return obj[attribute]
except (TypeError, LookupError):
pass
else:
if self.is_safe_attribute(obj, attribute, value):
return value
return self.unsafe_undefined(obj, attribute)
return self.undefined(obj=obj, name=attribute) | [
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train | SandboxedEnvironment.unsafe_undefined | Return an undefined object for unsafe attributes. | pipenv/vendor/jinja2/sandbox.py | def unsafe_undefined(self, obj, attribute):
"""Return an undefined object for unsafe attributes."""
return self.undefined('access to attribute %r of %r '
'object is unsafe.' % (
attribute,
obj.__class__.__name__
), name=attribute, obj=obj, exc=SecurityError) | def unsafe_undefined(self, obj, attribute):
"""Return an undefined object for unsafe attributes."""
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attribute,
obj.__class__.__name__
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train | SandboxedEnvironment.format_string | If a format call is detected, then this is routed through this
method so that our safety sandbox can be used for it. | pipenv/vendor/jinja2/sandbox.py | def format_string(self, s, args, kwargs):
"""If a format call is detected, then this is routed through this
method so that our safety sandbox can be used for it.
"""
if isinstance(s, Markup):
formatter = SandboxedEscapeFormatter(self, s.escape)
else:
formatter = SandboxedFormatter(self)
kwargs = _MagicFormatMapping(args, kwargs)
rv = formatter.vformat(s, args, kwargs)
return type(s)(rv) | def format_string(self, s, args, kwargs):
"""If a format call is detected, then this is routed through this
method so that our safety sandbox can be used for it.
"""
if isinstance(s, Markup):
formatter = SandboxedEscapeFormatter(self, s.escape)
else:
formatter = SandboxedFormatter(self)
kwargs = _MagicFormatMapping(args, kwargs)
rv = formatter.vformat(s, args, kwargs)
return type(s)(rv) | [
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train | SandboxedEnvironment.call | Call an object from sandboxed code. | pipenv/vendor/jinja2/sandbox.py | def call(__self, __context, __obj, *args, **kwargs):
"""Call an object from sandboxed code."""
fmt = inspect_format_method(__obj)
if fmt is not None:
return __self.format_string(fmt, args, kwargs)
# the double prefixes are to avoid double keyword argument
# errors when proxying the call.
if not __self.is_safe_callable(__obj):
raise SecurityError('%r is not safely callable' % (__obj,))
return __context.call(__obj, *args, **kwargs) | def call(__self, __context, __obj, *args, **kwargs):
"""Call an object from sandboxed code."""
fmt = inspect_format_method(__obj)
if fmt is not None:
return __self.format_string(fmt, args, kwargs)
# the double prefixes are to avoid double keyword argument
# errors when proxying the call.
if not __self.is_safe_callable(__obj):
raise SecurityError('%r is not safely callable' % (__obj,))
return __context.call(__obj, *args, **kwargs) | [
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train | attrib | Create a new attribute on a class.
.. warning::
Does *not* do anything unless the class is also decorated with
:func:`attr.s`!
:param default: A value that is used if an ``attrs``-generated ``__init__``
is used and no value is passed while instantiating or the attribute is
excluded using ``init=False``.
If the value is an instance of :class:`Factory`, its callable will be
used to construct a new value (useful for mutable data types like lists
or dicts).
If a default is not set (or set manually to ``attr.NOTHING``), a value
*must* be supplied when instantiating; otherwise a :exc:`TypeError`
will be raised.
The default can also be set using decorator notation as shown below.
:type default: Any value.
:param callable factory: Syntactic sugar for
``default=attr.Factory(callable)``.
:param validator: :func:`callable` that is called by ``attrs``-generated
``__init__`` methods after the instance has been initialized. They
receive the initialized instance, the :class:`Attribute`, and the
passed value.
The return value is *not* inspected so the validator has to throw an
exception itself.
If a ``list`` is passed, its items are treated as validators and must
all pass.
Validators can be globally disabled and re-enabled using
:func:`get_run_validators`.
The validator can also be set using decorator notation as shown below.
:type validator: ``callable`` or a ``list`` of ``callable``\\ s.
:param bool repr: Include this attribute in the generated ``__repr__``
method.
:param bool cmp: Include this attribute in the generated comparison methods
(``__eq__`` et al).
:param hash: Include this attribute in the generated ``__hash__``
method. If ``None`` (default), mirror *cmp*'s value. This is the
correct behavior according the Python spec. Setting this value to
anything else than ``None`` is *discouraged*.
:type hash: ``bool`` or ``None``
:param bool init: Include this attribute in the generated ``__init__``
method. It is possible to set this to ``False`` and set a default
value. In that case this attributed is unconditionally initialized
with the specified default value or factory.
:param callable converter: :func:`callable` that is called by
``attrs``-generated ``__init__`` methods to converter attribute's value
to the desired format. It is given the passed-in value, and the
returned value will be used as the new value of the attribute. The
value is converted before being passed to the validator, if any.
:param metadata: An arbitrary mapping, to be used by third-party
components. See :ref:`extending_metadata`.
:param type: The type of the attribute. In Python 3.6 or greater, the
preferred method to specify the type is using a variable annotation
(see `PEP 526 <https://www.python.org/dev/peps/pep-0526/>`_).
This argument is provided for backward compatibility.
Regardless of the approach used, the type will be stored on
``Attribute.type``.
Please note that ``attrs`` doesn't do anything with this metadata by
itself. You can use it as part of your own code or for
:doc:`static type checking <types>`.
:param kw_only: Make this attribute keyword-only (Python 3+)
in the generated ``__init__`` (if ``init`` is ``False``, this
parameter is ignored).
.. versionadded:: 15.2.0 *convert*
.. versionadded:: 16.3.0 *metadata*
.. versionchanged:: 17.1.0 *validator* can be a ``list`` now.
.. versionchanged:: 17.1.0
*hash* is ``None`` and therefore mirrors *cmp* by default.
.. versionadded:: 17.3.0 *type*
.. deprecated:: 17.4.0 *convert*
.. versionadded:: 17.4.0 *converter* as a replacement for the deprecated
*convert* to achieve consistency with other noun-based arguments.
.. versionadded:: 18.1.0
``factory=f`` is syntactic sugar for ``default=attr.Factory(f)``.
.. versionadded:: 18.2.0 *kw_only* | pipenv/vendor/attr/_make.py | def attrib(
default=NOTHING,
validator=None,
repr=True,
cmp=True,
hash=None,
init=True,
convert=None,
metadata=None,
type=None,
converter=None,
factory=None,
kw_only=False,
):
"""
Create a new attribute on a class.
.. warning::
Does *not* do anything unless the class is also decorated with
:func:`attr.s`!
:param default: A value that is used if an ``attrs``-generated ``__init__``
is used and no value is passed while instantiating or the attribute is
excluded using ``init=False``.
If the value is an instance of :class:`Factory`, its callable will be
used to construct a new value (useful for mutable data types like lists
or dicts).
If a default is not set (or set manually to ``attr.NOTHING``), a value
*must* be supplied when instantiating; otherwise a :exc:`TypeError`
will be raised.
The default can also be set using decorator notation as shown below.
:type default: Any value.
:param callable factory: Syntactic sugar for
``default=attr.Factory(callable)``.
:param validator: :func:`callable` that is called by ``attrs``-generated
``__init__`` methods after the instance has been initialized. They
receive the initialized instance, the :class:`Attribute`, and the
passed value.
The return value is *not* inspected so the validator has to throw an
exception itself.
If a ``list`` is passed, its items are treated as validators and must
all pass.
Validators can be globally disabled and re-enabled using
:func:`get_run_validators`.
The validator can also be set using decorator notation as shown below.
:type validator: ``callable`` or a ``list`` of ``callable``\\ s.
:param bool repr: Include this attribute in the generated ``__repr__``
method.
:param bool cmp: Include this attribute in the generated comparison methods
(``__eq__`` et al).
:param hash: Include this attribute in the generated ``__hash__``
method. If ``None`` (default), mirror *cmp*'s value. This is the
correct behavior according the Python spec. Setting this value to
anything else than ``None`` is *discouraged*.
:type hash: ``bool`` or ``None``
:param bool init: Include this attribute in the generated ``__init__``
method. It is possible to set this to ``False`` and set a default
value. In that case this attributed is unconditionally initialized
with the specified default value or factory.
:param callable converter: :func:`callable` that is called by
``attrs``-generated ``__init__`` methods to converter attribute's value
to the desired format. It is given the passed-in value, and the
returned value will be used as the new value of the attribute. The
value is converted before being passed to the validator, if any.
:param metadata: An arbitrary mapping, to be used by third-party
components. See :ref:`extending_metadata`.
:param type: The type of the attribute. In Python 3.6 or greater, the
preferred method to specify the type is using a variable annotation
(see `PEP 526 <https://www.python.org/dev/peps/pep-0526/>`_).
This argument is provided for backward compatibility.
Regardless of the approach used, the type will be stored on
``Attribute.type``.
Please note that ``attrs`` doesn't do anything with this metadata by
itself. You can use it as part of your own code or for
:doc:`static type checking <types>`.
:param kw_only: Make this attribute keyword-only (Python 3+)
in the generated ``__init__`` (if ``init`` is ``False``, this
parameter is ignored).
.. versionadded:: 15.2.0 *convert*
.. versionadded:: 16.3.0 *metadata*
.. versionchanged:: 17.1.0 *validator* can be a ``list`` now.
.. versionchanged:: 17.1.0
*hash* is ``None`` and therefore mirrors *cmp* by default.
.. versionadded:: 17.3.0 *type*
.. deprecated:: 17.4.0 *convert*
.. versionadded:: 17.4.0 *converter* as a replacement for the deprecated
*convert* to achieve consistency with other noun-based arguments.
.. versionadded:: 18.1.0
``factory=f`` is syntactic sugar for ``default=attr.Factory(f)``.
.. versionadded:: 18.2.0 *kw_only*
"""
if hash is not None and hash is not True and hash is not False:
raise TypeError(
"Invalid value for hash. Must be True, False, or None."
)
if convert is not None:
if converter is not None:
raise RuntimeError(
"Can't pass both `convert` and `converter`. "
"Please use `converter` only."
)
warnings.warn(
"The `convert` argument is deprecated in favor of `converter`. "
"It will be removed after 2019/01.",
DeprecationWarning,
stacklevel=2,
)
converter = convert
if factory is not None:
if default is not NOTHING:
raise ValueError(
"The `default` and `factory` arguments are mutually "
"exclusive."
)
if not callable(factory):
raise ValueError("The `factory` argument must be a callable.")
default = Factory(factory)
if metadata is None:
metadata = {}
return _CountingAttr(
default=default,
validator=validator,
repr=repr,
cmp=cmp,
hash=hash,
init=init,
converter=converter,
metadata=metadata,
type=type,
kw_only=kw_only,
) | def attrib(
default=NOTHING,
validator=None,
repr=True,
cmp=True,
hash=None,
init=True,
convert=None,
metadata=None,
type=None,
converter=None,
factory=None,
kw_only=False,
):
"""
Create a new attribute on a class.
.. warning::
Does *not* do anything unless the class is also decorated with
:func:`attr.s`!
:param default: A value that is used if an ``attrs``-generated ``__init__``
is used and no value is passed while instantiating or the attribute is
excluded using ``init=False``.
If the value is an instance of :class:`Factory`, its callable will be
used to construct a new value (useful for mutable data types like lists
or dicts).
If a default is not set (or set manually to ``attr.NOTHING``), a value
*must* be supplied when instantiating; otherwise a :exc:`TypeError`
will be raised.
The default can also be set using decorator notation as shown below.
:type default: Any value.
:param callable factory: Syntactic sugar for
``default=attr.Factory(callable)``.
:param validator: :func:`callable` that is called by ``attrs``-generated
``__init__`` methods after the instance has been initialized. They
receive the initialized instance, the :class:`Attribute`, and the
passed value.
The return value is *not* inspected so the validator has to throw an
exception itself.
If a ``list`` is passed, its items are treated as validators and must
all pass.
Validators can be globally disabled and re-enabled using
:func:`get_run_validators`.
The validator can also be set using decorator notation as shown below.
:type validator: ``callable`` or a ``list`` of ``callable``\\ s.
:param bool repr: Include this attribute in the generated ``__repr__``
method.
:param bool cmp: Include this attribute in the generated comparison methods
(``__eq__`` et al).
:param hash: Include this attribute in the generated ``__hash__``
method. If ``None`` (default), mirror *cmp*'s value. This is the
correct behavior according the Python spec. Setting this value to
anything else than ``None`` is *discouraged*.
:type hash: ``bool`` or ``None``
:param bool init: Include this attribute in the generated ``__init__``
method. It is possible to set this to ``False`` and set a default
value. In that case this attributed is unconditionally initialized
with the specified default value or factory.
:param callable converter: :func:`callable` that is called by
``attrs``-generated ``__init__`` methods to converter attribute's value
to the desired format. It is given the passed-in value, and the
returned value will be used as the new value of the attribute. The
value is converted before being passed to the validator, if any.
:param metadata: An arbitrary mapping, to be used by third-party
components. See :ref:`extending_metadata`.
:param type: The type of the attribute. In Python 3.6 or greater, the
preferred method to specify the type is using a variable annotation
(see `PEP 526 <https://www.python.org/dev/peps/pep-0526/>`_).
This argument is provided for backward compatibility.
Regardless of the approach used, the type will be stored on
``Attribute.type``.
Please note that ``attrs`` doesn't do anything with this metadata by
itself. You can use it as part of your own code or for
:doc:`static type checking <types>`.
:param kw_only: Make this attribute keyword-only (Python 3+)
in the generated ``__init__`` (if ``init`` is ``False``, this
parameter is ignored).
.. versionadded:: 15.2.0 *convert*
.. versionadded:: 16.3.0 *metadata*
.. versionchanged:: 17.1.0 *validator* can be a ``list`` now.
.. versionchanged:: 17.1.0
*hash* is ``None`` and therefore mirrors *cmp* by default.
.. versionadded:: 17.3.0 *type*
.. deprecated:: 17.4.0 *convert*
.. versionadded:: 17.4.0 *converter* as a replacement for the deprecated
*convert* to achieve consistency with other noun-based arguments.
.. versionadded:: 18.1.0
``factory=f`` is syntactic sugar for ``default=attr.Factory(f)``.
.. versionadded:: 18.2.0 *kw_only*
"""
if hash is not None and hash is not True and hash is not False:
raise TypeError(
"Invalid value for hash. Must be True, False, or None."
)
if convert is not None:
if converter is not None:
raise RuntimeError(
"Can't pass both `convert` and `converter`. "
"Please use `converter` only."
)
warnings.warn(
"The `convert` argument is deprecated in favor of `converter`. "
"It will be removed after 2019/01.",
DeprecationWarning,
stacklevel=2,
)
converter = convert
if factory is not None:
if default is not NOTHING:
raise ValueError(
"The `default` and `factory` arguments are mutually "
"exclusive."
)
if not callable(factory):
raise ValueError("The `factory` argument must be a callable.")
default = Factory(factory)
if metadata is None:
metadata = {}
return _CountingAttr(
default=default,
validator=validator,
repr=repr,
cmp=cmp,
hash=hash,
init=init,
converter=converter,
metadata=metadata,
type=type,
kw_only=kw_only,
) | [
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train | _make_attr_tuple_class | Create a tuple subclass to hold `Attribute`s for an `attrs` class.
The subclass is a bare tuple with properties for names.
class MyClassAttributes(tuple):
__slots__ = ()
x = property(itemgetter(0)) | pipenv/vendor/attr/_make.py | def _make_attr_tuple_class(cls_name, attr_names):
"""
Create a tuple subclass to hold `Attribute`s for an `attrs` class.
The subclass is a bare tuple with properties for names.
class MyClassAttributes(tuple):
__slots__ = ()
x = property(itemgetter(0))
"""
attr_class_name = "{}Attributes".format(cls_name)
attr_class_template = [
"class {}(tuple):".format(attr_class_name),
" __slots__ = ()",
]
if attr_names:
for i, attr_name in enumerate(attr_names):
attr_class_template.append(
_tuple_property_pat.format(index=i, attr_name=attr_name)
)
else:
attr_class_template.append(" pass")
globs = {"_attrs_itemgetter": itemgetter, "_attrs_property": property}
eval(compile("\n".join(attr_class_template), "", "exec"), globs)
return globs[attr_class_name] | def _make_attr_tuple_class(cls_name, attr_names):
"""
Create a tuple subclass to hold `Attribute`s for an `attrs` class.
The subclass is a bare tuple with properties for names.
class MyClassAttributes(tuple):
__slots__ = ()
x = property(itemgetter(0))
"""
attr_class_name = "{}Attributes".format(cls_name)
attr_class_template = [
"class {}(tuple):".format(attr_class_name),
" __slots__ = ()",
]
if attr_names:
for i, attr_name in enumerate(attr_names):
attr_class_template.append(
_tuple_property_pat.format(index=i, attr_name=attr_name)
)
else:
attr_class_template.append(" pass")
globs = {"_attrs_itemgetter": itemgetter, "_attrs_property": property}
eval(compile("\n".join(attr_class_template), "", "exec"), globs)
return globs[attr_class_name] | [
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train | _get_annotations | Get annotations for *cls*. | pipenv/vendor/attr/_make.py | def _get_annotations(cls):
"""
Get annotations for *cls*.
"""
anns = getattr(cls, "__annotations__", None)
if anns is None:
return {}
# Verify that the annotations aren't merely inherited.
for base_cls in cls.__mro__[1:]:
if anns is getattr(base_cls, "__annotations__", None):
return {}
return anns | def _get_annotations(cls):
"""
Get annotations for *cls*.
"""
anns = getattr(cls, "__annotations__", None)
if anns is None:
return {}
# Verify that the annotations aren't merely inherited.
for base_cls in cls.__mro__[1:]:
if anns is getattr(base_cls, "__annotations__", None):
return {}
return anns | [
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"for",
"base_cls",
"... | cae8d76c210b9777e90aab76e9c4b0e53bb19cde |
train | _transform_attrs | Transform all `_CountingAttr`s on a class into `Attribute`s.
If *these* is passed, use that and don't look for them on the class.
Return an `_Attributes`. | pipenv/vendor/attr/_make.py | def _transform_attrs(cls, these, auto_attribs, kw_only):
"""
Transform all `_CountingAttr`s on a class into `Attribute`s.
If *these* is passed, use that and don't look for them on the class.
Return an `_Attributes`.
"""
cd = cls.__dict__
anns = _get_annotations(cls)
if these is not None:
ca_list = [(name, ca) for name, ca in iteritems(these)]
if not isinstance(these, ordered_dict):
ca_list.sort(key=_counter_getter)
elif auto_attribs is True:
ca_names = {
name
for name, attr in cd.items()
if isinstance(attr, _CountingAttr)
}
ca_list = []
annot_names = set()
for attr_name, type in anns.items():
if _is_class_var(type):
continue
annot_names.add(attr_name)
a = cd.get(attr_name, NOTHING)
if not isinstance(a, _CountingAttr):
if a is NOTHING:
a = attrib()
else:
a = attrib(default=a)
ca_list.append((attr_name, a))
unannotated = ca_names - annot_names
if len(unannotated) > 0:
raise UnannotatedAttributeError(
"The following `attr.ib`s lack a type annotation: "
+ ", ".join(
sorted(unannotated, key=lambda n: cd.get(n).counter)
)
+ "."
)
else:
ca_list = sorted(
(
(name, attr)
for name, attr in cd.items()
if isinstance(attr, _CountingAttr)
),
key=lambda e: e[1].counter,
)
own_attrs = [
Attribute.from_counting_attr(
name=attr_name, ca=ca, type=anns.get(attr_name)
)
for attr_name, ca in ca_list
]
base_attrs = []
base_attr_map = {} # A dictionary of base attrs to their classes.
taken_attr_names = {a.name: a for a in own_attrs}
# Traverse the MRO and collect attributes.
for base_cls in cls.__mro__[1:-1]:
sub_attrs = getattr(base_cls, "__attrs_attrs__", None)
if sub_attrs is not None:
for a in sub_attrs:
prev_a = taken_attr_names.get(a.name)
# Only add an attribute if it hasn't been defined before. This
# allows for overwriting attribute definitions by subclassing.
if prev_a is None:
base_attrs.append(a)
taken_attr_names[a.name] = a
base_attr_map[a.name] = base_cls
attr_names = [a.name for a in base_attrs + own_attrs]
AttrsClass = _make_attr_tuple_class(cls.__name__, attr_names)
if kw_only:
own_attrs = [a._assoc(kw_only=True) for a in own_attrs]
base_attrs = [a._assoc(kw_only=True) for a in base_attrs]
attrs = AttrsClass(base_attrs + own_attrs)
had_default = False
was_kw_only = False
for a in attrs:
if (
was_kw_only is False
and had_default is True
and a.default is NOTHING
and a.init is True
and a.kw_only is False
):
raise ValueError(
"No mandatory attributes allowed after an attribute with a "
"default value or factory. Attribute in question: %r" % (a,)
)
elif (
had_default is False
and a.default is not NOTHING
and a.init is not False
and
# Keyword-only attributes without defaults can be specified
# after keyword-only attributes with defaults.
a.kw_only is False
):
had_default = True
if was_kw_only is True and a.kw_only is False and a.init is True:
raise ValueError(
"Non keyword-only attributes are not allowed after a "
"keyword-only attribute (unless they are init=False). "
"Attribute in question: {a!r}".format(a=a)
)
if was_kw_only is False and a.init is True and a.kw_only is True:
was_kw_only = True
return _Attributes((attrs, base_attrs, base_attr_map)) | def _transform_attrs(cls, these, auto_attribs, kw_only):
"""
Transform all `_CountingAttr`s on a class into `Attribute`s.
If *these* is passed, use that and don't look for them on the class.
Return an `_Attributes`.
"""
cd = cls.__dict__
anns = _get_annotations(cls)
if these is not None:
ca_list = [(name, ca) for name, ca in iteritems(these)]
if not isinstance(these, ordered_dict):
ca_list.sort(key=_counter_getter)
elif auto_attribs is True:
ca_names = {
name
for name, attr in cd.items()
if isinstance(attr, _CountingAttr)
}
ca_list = []
annot_names = set()
for attr_name, type in anns.items():
if _is_class_var(type):
continue
annot_names.add(attr_name)
a = cd.get(attr_name, NOTHING)
if not isinstance(a, _CountingAttr):
if a is NOTHING:
a = attrib()
else:
a = attrib(default=a)
ca_list.append((attr_name, a))
unannotated = ca_names - annot_names
if len(unannotated) > 0:
raise UnannotatedAttributeError(
"The following `attr.ib`s lack a type annotation: "
+ ", ".join(
sorted(unannotated, key=lambda n: cd.get(n).counter)
)
+ "."
)
else:
ca_list = sorted(
(
(name, attr)
for name, attr in cd.items()
if isinstance(attr, _CountingAttr)
),
key=lambda e: e[1].counter,
)
own_attrs = [
Attribute.from_counting_attr(
name=attr_name, ca=ca, type=anns.get(attr_name)
)
for attr_name, ca in ca_list
]
base_attrs = []
base_attr_map = {} # A dictionary of base attrs to their classes.
taken_attr_names = {a.name: a for a in own_attrs}
# Traverse the MRO and collect attributes.
for base_cls in cls.__mro__[1:-1]:
sub_attrs = getattr(base_cls, "__attrs_attrs__", None)
if sub_attrs is not None:
for a in sub_attrs:
prev_a = taken_attr_names.get(a.name)
# Only add an attribute if it hasn't been defined before. This
# allows for overwriting attribute definitions by subclassing.
if prev_a is None:
base_attrs.append(a)
taken_attr_names[a.name] = a
base_attr_map[a.name] = base_cls
attr_names = [a.name for a in base_attrs + own_attrs]
AttrsClass = _make_attr_tuple_class(cls.__name__, attr_names)
if kw_only:
own_attrs = [a._assoc(kw_only=True) for a in own_attrs]
base_attrs = [a._assoc(kw_only=True) for a in base_attrs]
attrs = AttrsClass(base_attrs + own_attrs)
had_default = False
was_kw_only = False
for a in attrs:
if (
was_kw_only is False
and had_default is True
and a.default is NOTHING
and a.init is True
and a.kw_only is False
):
raise ValueError(
"No mandatory attributes allowed after an attribute with a "
"default value or factory. Attribute in question: %r" % (a,)
)
elif (
had_default is False
and a.default is not NOTHING
and a.init is not False
and
# Keyword-only attributes without defaults can be specified
# after keyword-only attributes with defaults.
a.kw_only is False
):
had_default = True
if was_kw_only is True and a.kw_only is False and a.init is True:
raise ValueError(
"Non keyword-only attributes are not allowed after a "
"keyword-only attribute (unless they are init=False). "
"Attribute in question: {a!r}".format(a=a)
)
if was_kw_only is False and a.init is True and a.kw_only is True:
was_kw_only = True
return _Attributes((attrs, base_attrs, base_attr_map)) | [
"Transform",
"all",
"_CountingAttr",
"s",
"on",
"a",
"class",
"into",
"Attribute",
"s",
"."
] | pypa/pipenv | python | https://github.com/pypa/pipenv/blob/cae8d76c210b9777e90aab76e9c4b0e53bb19cde/pipenv/vendor/attr/_make.py#L299-L421 | [
"def",
"_transform_attrs",
"(",
"cls",
",",
"these",
",",
"auto_attribs",
",",
"kw_only",
")",
":",
"cd",
"=",
"cls",
".",
"__dict__",
"anns",
"=",
"_get_annotations",
"(",
"cls",
")",
"if",
"these",
"is",
"not",
"None",
":",
"ca_list",
"=",
"[",
"(",
... | cae8d76c210b9777e90aab76e9c4b0e53bb19cde |
train | attrs | r"""
A class decorator that adds `dunder
<https://wiki.python.org/moin/DunderAlias>`_\ -methods according to the
specified attributes using :func:`attr.ib` or the *these* argument.
:param these: A dictionary of name to :func:`attr.ib` mappings. This is
useful to avoid the definition of your attributes within the class body
because you can't (e.g. if you want to add ``__repr__`` methods to
Django models) or don't want to.
If *these* is not ``None``, ``attrs`` will *not* search the class body
for attributes and will *not* remove any attributes from it.
If *these* is an ordered dict (:class:`dict` on Python 3.6+,
:class:`collections.OrderedDict` otherwise), the order is deduced from
the order of the attributes inside *these*. Otherwise the order
of the definition of the attributes is used.
:type these: :class:`dict` of :class:`str` to :func:`attr.ib`
:param str repr_ns: When using nested classes, there's no way in Python 2
to automatically detect that. Therefore it's possible to set the
namespace explicitly for a more meaningful ``repr`` output.
:param bool repr: Create a ``__repr__`` method with a human readable
representation of ``attrs`` attributes..
:param bool str: Create a ``__str__`` method that is identical to
``__repr__``. This is usually not necessary except for
:class:`Exception`\ s.
:param bool cmp: Create ``__eq__``, ``__ne__``, ``__lt__``, ``__le__``,
``__gt__``, and ``__ge__`` methods that compare the class as if it were
a tuple of its ``attrs`` attributes. But the attributes are *only*
compared, if the types of both classes are *identical*!
:param hash: If ``None`` (default), the ``__hash__`` method is generated
according how *cmp* and *frozen* are set.
1. If *both* are True, ``attrs`` will generate a ``__hash__`` for you.
2. If *cmp* is True and *frozen* is False, ``__hash__`` will be set to
None, marking it unhashable (which it is).
3. If *cmp* is False, ``__hash__`` will be left untouched meaning the
``__hash__`` method of the base class will be used (if base class is
``object``, this means it will fall back to id-based hashing.).
Although not recommended, you can decide for yourself and force
``attrs`` to create one (e.g. if the class is immutable even though you
didn't freeze it programmatically) by passing ``True`` or not. Both of
these cases are rather special and should be used carefully.
See the `Python documentation \
<https://docs.python.org/3/reference/datamodel.html#object.__hash__>`_
and the `GitHub issue that led to the default behavior \
<https://github.com/python-attrs/attrs/issues/136>`_ for more details.
:type hash: ``bool`` or ``None``
:param bool init: Create a ``__init__`` method that initializes the
``attrs`` attributes. Leading underscores are stripped for the
argument name. If a ``__attrs_post_init__`` method exists on the
class, it will be called after the class is fully initialized.
:param bool slots: Create a slots_-style class that's more
memory-efficient. See :ref:`slots` for further ramifications.
:param bool frozen: Make instances immutable after initialization. If
someone attempts to modify a frozen instance,
:exc:`attr.exceptions.FrozenInstanceError` is raised.
Please note:
1. This is achieved by installing a custom ``__setattr__`` method
on your class so you can't implement an own one.
2. True immutability is impossible in Python.
3. This *does* have a minor a runtime performance :ref:`impact
<how-frozen>` when initializing new instances. In other words:
``__init__`` is slightly slower with ``frozen=True``.
4. If a class is frozen, you cannot modify ``self`` in
``__attrs_post_init__`` or a self-written ``__init__``. You can
circumvent that limitation by using
``object.__setattr__(self, "attribute_name", value)``.
.. _slots: https://docs.python.org/3/reference/datamodel.html#slots
:param bool weakref_slot: Make instances weak-referenceable. This has no
effect unless ``slots`` is also enabled.
:param bool auto_attribs: If True, collect `PEP 526`_-annotated attributes
(Python 3.6 and later only) from the class body.
In this case, you **must** annotate every field. If ``attrs``
encounters a field that is set to an :func:`attr.ib` but lacks a type
annotation, an :exc:`attr.exceptions.UnannotatedAttributeError` is
raised. Use ``field_name: typing.Any = attr.ib(...)`` if you don't
want to set a type.
If you assign a value to those attributes (e.g. ``x: int = 42``), that
value becomes the default value like if it were passed using
``attr.ib(default=42)``. Passing an instance of :class:`Factory` also
works as expected.
Attributes annotated as :data:`typing.ClassVar` are **ignored**.
.. _`PEP 526`: https://www.python.org/dev/peps/pep-0526/
:param bool kw_only: Make all attributes keyword-only (Python 3+)
in the generated ``__init__`` (if ``init`` is ``False``, this
parameter is ignored).
:param bool cache_hash: Ensure that the object's hash code is computed
only once and stored on the object. If this is set to ``True``,
hashing must be either explicitly or implicitly enabled for this
class. If the hash code is cached, avoid any reassignments of
fields involved in hash code computation or mutations of the objects
those fields point to after object creation. If such changes occur,
the behavior of the object's hash code is undefined.
:param bool auto_exc: If the class subclasses :class:`BaseException`
(which implicitly includes any subclass of any exception), the
following happens to behave like a well-behaved Python exceptions
class:
- the values for *cmp* and *hash* are ignored and the instances compare
and hash by the instance's ids (N.B. ``attrs`` will *not* remove
existing implementations of ``__hash__`` or the equality methods. It
just won't add own ones.),
- all attributes that are either passed into ``__init__`` or have a
default value are additionally available as a tuple in the ``args``
attribute,
- the value of *str* is ignored leaving ``__str__`` to base classes.
.. versionadded:: 16.0.0 *slots*
.. versionadded:: 16.1.0 *frozen*
.. versionadded:: 16.3.0 *str*
.. versionadded:: 16.3.0 Support for ``__attrs_post_init__``.
.. versionchanged:: 17.1.0
*hash* supports ``None`` as value which is also the default now.
.. versionadded:: 17.3.0 *auto_attribs*
.. versionchanged:: 18.1.0
If *these* is passed, no attributes are deleted from the class body.
.. versionchanged:: 18.1.0 If *these* is ordered, the order is retained.
.. versionadded:: 18.2.0 *weakref_slot*
.. deprecated:: 18.2.0
``__lt__``, ``__le__``, ``__gt__``, and ``__ge__`` now raise a
:class:`DeprecationWarning` if the classes compared are subclasses of
each other. ``__eq`` and ``__ne__`` never tried to compared subclasses
to each other.
.. versionadded:: 18.2.0 *kw_only*
.. versionadded:: 18.2.0 *cache_hash*
.. versionadded:: 19.1.0 *auto_exc* | pipenv/vendor/attr/_make.py | def attrs(
maybe_cls=None,
these=None,
repr_ns=None,
repr=True,
cmp=True,
hash=None,
init=True,
slots=False,
frozen=False,
weakref_slot=True,
str=False,
auto_attribs=False,
kw_only=False,
cache_hash=False,
auto_exc=False,
):
r"""
A class decorator that adds `dunder
<https://wiki.python.org/moin/DunderAlias>`_\ -methods according to the
specified attributes using :func:`attr.ib` or the *these* argument.
:param these: A dictionary of name to :func:`attr.ib` mappings. This is
useful to avoid the definition of your attributes within the class body
because you can't (e.g. if you want to add ``__repr__`` methods to
Django models) or don't want to.
If *these* is not ``None``, ``attrs`` will *not* search the class body
for attributes and will *not* remove any attributes from it.
If *these* is an ordered dict (:class:`dict` on Python 3.6+,
:class:`collections.OrderedDict` otherwise), the order is deduced from
the order of the attributes inside *these*. Otherwise the order
of the definition of the attributes is used.
:type these: :class:`dict` of :class:`str` to :func:`attr.ib`
:param str repr_ns: When using nested classes, there's no way in Python 2
to automatically detect that. Therefore it's possible to set the
namespace explicitly for a more meaningful ``repr`` output.
:param bool repr: Create a ``__repr__`` method with a human readable
representation of ``attrs`` attributes..
:param bool str: Create a ``__str__`` method that is identical to
``__repr__``. This is usually not necessary except for
:class:`Exception`\ s.
:param bool cmp: Create ``__eq__``, ``__ne__``, ``__lt__``, ``__le__``,
``__gt__``, and ``__ge__`` methods that compare the class as if it were
a tuple of its ``attrs`` attributes. But the attributes are *only*
compared, if the types of both classes are *identical*!
:param hash: If ``None`` (default), the ``__hash__`` method is generated
according how *cmp* and *frozen* are set.
1. If *both* are True, ``attrs`` will generate a ``__hash__`` for you.
2. If *cmp* is True and *frozen* is False, ``__hash__`` will be set to
None, marking it unhashable (which it is).
3. If *cmp* is False, ``__hash__`` will be left untouched meaning the
``__hash__`` method of the base class will be used (if base class is
``object``, this means it will fall back to id-based hashing.).
Although not recommended, you can decide for yourself and force
``attrs`` to create one (e.g. if the class is immutable even though you
didn't freeze it programmatically) by passing ``True`` or not. Both of
these cases are rather special and should be used carefully.
See the `Python documentation \
<https://docs.python.org/3/reference/datamodel.html#object.__hash__>`_
and the `GitHub issue that led to the default behavior \
<https://github.com/python-attrs/attrs/issues/136>`_ for more details.
:type hash: ``bool`` or ``None``
:param bool init: Create a ``__init__`` method that initializes the
``attrs`` attributes. Leading underscores are stripped for the
argument name. If a ``__attrs_post_init__`` method exists on the
class, it will be called after the class is fully initialized.
:param bool slots: Create a slots_-style class that's more
memory-efficient. See :ref:`slots` for further ramifications.
:param bool frozen: Make instances immutable after initialization. If
someone attempts to modify a frozen instance,
:exc:`attr.exceptions.FrozenInstanceError` is raised.
Please note:
1. This is achieved by installing a custom ``__setattr__`` method
on your class so you can't implement an own one.
2. True immutability is impossible in Python.
3. This *does* have a minor a runtime performance :ref:`impact
<how-frozen>` when initializing new instances. In other words:
``__init__`` is slightly slower with ``frozen=True``.
4. If a class is frozen, you cannot modify ``self`` in
``__attrs_post_init__`` or a self-written ``__init__``. You can
circumvent that limitation by using
``object.__setattr__(self, "attribute_name", value)``.
.. _slots: https://docs.python.org/3/reference/datamodel.html#slots
:param bool weakref_slot: Make instances weak-referenceable. This has no
effect unless ``slots`` is also enabled.
:param bool auto_attribs: If True, collect `PEP 526`_-annotated attributes
(Python 3.6 and later only) from the class body.
In this case, you **must** annotate every field. If ``attrs``
encounters a field that is set to an :func:`attr.ib` but lacks a type
annotation, an :exc:`attr.exceptions.UnannotatedAttributeError` is
raised. Use ``field_name: typing.Any = attr.ib(...)`` if you don't
want to set a type.
If you assign a value to those attributes (e.g. ``x: int = 42``), that
value becomes the default value like if it were passed using
``attr.ib(default=42)``. Passing an instance of :class:`Factory` also
works as expected.
Attributes annotated as :data:`typing.ClassVar` are **ignored**.
.. _`PEP 526`: https://www.python.org/dev/peps/pep-0526/
:param bool kw_only: Make all attributes keyword-only (Python 3+)
in the generated ``__init__`` (if ``init`` is ``False``, this
parameter is ignored).
:param bool cache_hash: Ensure that the object's hash code is computed
only once and stored on the object. If this is set to ``True``,
hashing must be either explicitly or implicitly enabled for this
class. If the hash code is cached, avoid any reassignments of
fields involved in hash code computation or mutations of the objects
those fields point to after object creation. If such changes occur,
the behavior of the object's hash code is undefined.
:param bool auto_exc: If the class subclasses :class:`BaseException`
(which implicitly includes any subclass of any exception), the
following happens to behave like a well-behaved Python exceptions
class:
- the values for *cmp* and *hash* are ignored and the instances compare
and hash by the instance's ids (N.B. ``attrs`` will *not* remove
existing implementations of ``__hash__`` or the equality methods. It
just won't add own ones.),
- all attributes that are either passed into ``__init__`` or have a
default value are additionally available as a tuple in the ``args``
attribute,
- the value of *str* is ignored leaving ``__str__`` to base classes.
.. versionadded:: 16.0.0 *slots*
.. versionadded:: 16.1.0 *frozen*
.. versionadded:: 16.3.0 *str*
.. versionadded:: 16.3.0 Support for ``__attrs_post_init__``.
.. versionchanged:: 17.1.0
*hash* supports ``None`` as value which is also the default now.
.. versionadded:: 17.3.0 *auto_attribs*
.. versionchanged:: 18.1.0
If *these* is passed, no attributes are deleted from the class body.
.. versionchanged:: 18.1.0 If *these* is ordered, the order is retained.
.. versionadded:: 18.2.0 *weakref_slot*
.. deprecated:: 18.2.0
``__lt__``, ``__le__``, ``__gt__``, and ``__ge__`` now raise a
:class:`DeprecationWarning` if the classes compared are subclasses of
each other. ``__eq`` and ``__ne__`` never tried to compared subclasses
to each other.
.. versionadded:: 18.2.0 *kw_only*
.. versionadded:: 18.2.0 *cache_hash*
.. versionadded:: 19.1.0 *auto_exc*
"""
def wrap(cls):
if getattr(cls, "__class__", None) is None:
raise TypeError("attrs only works with new-style classes.")
is_exc = auto_exc is True and issubclass(cls, BaseException)
builder = _ClassBuilder(
cls,
these,
slots,
frozen,
weakref_slot,
auto_attribs,
kw_only,
cache_hash,
is_exc,
)
if repr is True:
builder.add_repr(repr_ns)
if str is True:
builder.add_str()
if cmp is True and not is_exc:
builder.add_cmp()
if hash is not True and hash is not False and hash is not None:
# Can't use `hash in` because 1 == True for example.
raise TypeError(
"Invalid value for hash. Must be True, False, or None."
)
elif hash is False or (hash is None and cmp is False):
if cache_hash:
raise TypeError(
"Invalid value for cache_hash. To use hash caching,"
" hashing must be either explicitly or implicitly "
"enabled."
)
elif (
hash is True
or (hash is None and cmp is True and frozen is True)
and is_exc is False
):
builder.add_hash()
else:
if cache_hash:
raise TypeError(
"Invalid value for cache_hash. To use hash caching,"
" hashing must be either explicitly or implicitly "
"enabled."
)
builder.make_unhashable()
if init is True:
builder.add_init()
else:
if cache_hash:
raise TypeError(
"Invalid value for cache_hash. To use hash caching,"
" init must be True."
)
return builder.build_class()
# maybe_cls's type depends on the usage of the decorator. It's a class
# if it's used as `@attrs` but ``None`` if used as `@attrs()`.
if maybe_cls is None:
return wrap
else:
return wrap(maybe_cls) | def attrs(
maybe_cls=None,
these=None,
repr_ns=None,
repr=True,
cmp=True,
hash=None,
init=True,
slots=False,
frozen=False,
weakref_slot=True,
str=False,
auto_attribs=False,
kw_only=False,
cache_hash=False,
auto_exc=False,
):
r"""
A class decorator that adds `dunder
<https://wiki.python.org/moin/DunderAlias>`_\ -methods according to the
specified attributes using :func:`attr.ib` or the *these* argument.
:param these: A dictionary of name to :func:`attr.ib` mappings. This is
useful to avoid the definition of your attributes within the class body
because you can't (e.g. if you want to add ``__repr__`` methods to
Django models) or don't want to.
If *these* is not ``None``, ``attrs`` will *not* search the class body
for attributes and will *not* remove any attributes from it.
If *these* is an ordered dict (:class:`dict` on Python 3.6+,
:class:`collections.OrderedDict` otherwise), the order is deduced from
the order of the attributes inside *these*. Otherwise the order
of the definition of the attributes is used.
:type these: :class:`dict` of :class:`str` to :func:`attr.ib`
:param str repr_ns: When using nested classes, there's no way in Python 2
to automatically detect that. Therefore it's possible to set the
namespace explicitly for a more meaningful ``repr`` output.
:param bool repr: Create a ``__repr__`` method with a human readable
representation of ``attrs`` attributes..
:param bool str: Create a ``__str__`` method that is identical to
``__repr__``. This is usually not necessary except for
:class:`Exception`\ s.
:param bool cmp: Create ``__eq__``, ``__ne__``, ``__lt__``, ``__le__``,
``__gt__``, and ``__ge__`` methods that compare the class as if it were
a tuple of its ``attrs`` attributes. But the attributes are *only*
compared, if the types of both classes are *identical*!
:param hash: If ``None`` (default), the ``__hash__`` method is generated
according how *cmp* and *frozen* are set.
1. If *both* are True, ``attrs`` will generate a ``__hash__`` for you.
2. If *cmp* is True and *frozen* is False, ``__hash__`` will be set to
None, marking it unhashable (which it is).
3. If *cmp* is False, ``__hash__`` will be left untouched meaning the
``__hash__`` method of the base class will be used (if base class is
``object``, this means it will fall back to id-based hashing.).
Although not recommended, you can decide for yourself and force
``attrs`` to create one (e.g. if the class is immutable even though you
didn't freeze it programmatically) by passing ``True`` or not. Both of
these cases are rather special and should be used carefully.
See the `Python documentation \
<https://docs.python.org/3/reference/datamodel.html#object.__hash__>`_
and the `GitHub issue that led to the default behavior \
<https://github.com/python-attrs/attrs/issues/136>`_ for more details.
:type hash: ``bool`` or ``None``
:param bool init: Create a ``__init__`` method that initializes the
``attrs`` attributes. Leading underscores are stripped for the
argument name. If a ``__attrs_post_init__`` method exists on the
class, it will be called after the class is fully initialized.
:param bool slots: Create a slots_-style class that's more
memory-efficient. See :ref:`slots` for further ramifications.
:param bool frozen: Make instances immutable after initialization. If
someone attempts to modify a frozen instance,
:exc:`attr.exceptions.FrozenInstanceError` is raised.
Please note:
1. This is achieved by installing a custom ``__setattr__`` method
on your class so you can't implement an own one.
2. True immutability is impossible in Python.
3. This *does* have a minor a runtime performance :ref:`impact
<how-frozen>` when initializing new instances. In other words:
``__init__`` is slightly slower with ``frozen=True``.
4. If a class is frozen, you cannot modify ``self`` in
``__attrs_post_init__`` or a self-written ``__init__``. You can
circumvent that limitation by using
``object.__setattr__(self, "attribute_name", value)``.
.. _slots: https://docs.python.org/3/reference/datamodel.html#slots
:param bool weakref_slot: Make instances weak-referenceable. This has no
effect unless ``slots`` is also enabled.
:param bool auto_attribs: If True, collect `PEP 526`_-annotated attributes
(Python 3.6 and later only) from the class body.
In this case, you **must** annotate every field. If ``attrs``
encounters a field that is set to an :func:`attr.ib` but lacks a type
annotation, an :exc:`attr.exceptions.UnannotatedAttributeError` is
raised. Use ``field_name: typing.Any = attr.ib(...)`` if you don't
want to set a type.
If you assign a value to those attributes (e.g. ``x: int = 42``), that
value becomes the default value like if it were passed using
``attr.ib(default=42)``. Passing an instance of :class:`Factory` also
works as expected.
Attributes annotated as :data:`typing.ClassVar` are **ignored**.
.. _`PEP 526`: https://www.python.org/dev/peps/pep-0526/
:param bool kw_only: Make all attributes keyword-only (Python 3+)
in the generated ``__init__`` (if ``init`` is ``False``, this
parameter is ignored).
:param bool cache_hash: Ensure that the object's hash code is computed
only once and stored on the object. If this is set to ``True``,
hashing must be either explicitly or implicitly enabled for this
class. If the hash code is cached, avoid any reassignments of
fields involved in hash code computation or mutations of the objects
those fields point to after object creation. If such changes occur,
the behavior of the object's hash code is undefined.
:param bool auto_exc: If the class subclasses :class:`BaseException`
(which implicitly includes any subclass of any exception), the
following happens to behave like a well-behaved Python exceptions
class:
- the values for *cmp* and *hash* are ignored and the instances compare
and hash by the instance's ids (N.B. ``attrs`` will *not* remove
existing implementations of ``__hash__`` or the equality methods. It
just won't add own ones.),
- all attributes that are either passed into ``__init__`` or have a
default value are additionally available as a tuple in the ``args``
attribute,
- the value of *str* is ignored leaving ``__str__`` to base classes.
.. versionadded:: 16.0.0 *slots*
.. versionadded:: 16.1.0 *frozen*
.. versionadded:: 16.3.0 *str*
.. versionadded:: 16.3.0 Support for ``__attrs_post_init__``.
.. versionchanged:: 17.1.0
*hash* supports ``None`` as value which is also the default now.
.. versionadded:: 17.3.0 *auto_attribs*
.. versionchanged:: 18.1.0
If *these* is passed, no attributes are deleted from the class body.
.. versionchanged:: 18.1.0 If *these* is ordered, the order is retained.
.. versionadded:: 18.2.0 *weakref_slot*
.. deprecated:: 18.2.0
``__lt__``, ``__le__``, ``__gt__``, and ``__ge__`` now raise a
:class:`DeprecationWarning` if the classes compared are subclasses of
each other. ``__eq`` and ``__ne__`` never tried to compared subclasses
to each other.
.. versionadded:: 18.2.0 *kw_only*
.. versionadded:: 18.2.0 *cache_hash*
.. versionadded:: 19.1.0 *auto_exc*
"""
def wrap(cls):
if getattr(cls, "__class__", None) is None:
raise TypeError("attrs only works with new-style classes.")
is_exc = auto_exc is True and issubclass(cls, BaseException)
builder = _ClassBuilder(
cls,
these,
slots,
frozen,
weakref_slot,
auto_attribs,
kw_only,
cache_hash,
is_exc,
)
if repr is True:
builder.add_repr(repr_ns)
if str is True:
builder.add_str()
if cmp is True and not is_exc:
builder.add_cmp()
if hash is not True and hash is not False and hash is not None:
# Can't use `hash in` because 1 == True for example.
raise TypeError(
"Invalid value for hash. Must be True, False, or None."
)
elif hash is False or (hash is None and cmp is False):
if cache_hash:
raise TypeError(
"Invalid value for cache_hash. To use hash caching,"
" hashing must be either explicitly or implicitly "
"enabled."
)
elif (
hash is True
or (hash is None and cmp is True and frozen is True)
and is_exc is False
):
builder.add_hash()
else:
if cache_hash:
raise TypeError(
"Invalid value for cache_hash. To use hash caching,"
" hashing must be either explicitly or implicitly "
"enabled."
)
builder.make_unhashable()
if init is True:
builder.add_init()
else:
if cache_hash:
raise TypeError(
"Invalid value for cache_hash. To use hash caching,"
" init must be True."
)
return builder.build_class()
# maybe_cls's type depends on the usage of the decorator. It's a class
# if it's used as `@attrs` but ``None`` if used as `@attrs()`.
if maybe_cls is None:
return wrap
else:
return wrap(maybe_cls) | [
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train | _attrs_to_tuple | Create a tuple of all values of *obj*'s *attrs*. | pipenv/vendor/attr/_make.py | def _attrs_to_tuple(obj, attrs):
"""
Create a tuple of all values of *obj*'s *attrs*.
"""
return tuple(getattr(obj, a.name) for a in attrs) | def _attrs_to_tuple(obj, attrs):
"""
Create a tuple of all values of *obj*'s *attrs*.
"""
return tuple(getattr(obj, a.name) for a in attrs) | [
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train | _add_hash | Add a hash method to *cls*. | pipenv/vendor/attr/_make.py | def _add_hash(cls, attrs):
"""
Add a hash method to *cls*.
"""
cls.__hash__ = _make_hash(attrs, frozen=False, cache_hash=False)
return cls | def _add_hash(cls, attrs):
"""
Add a hash method to *cls*.
"""
cls.__hash__ = _make_hash(attrs, frozen=False, cache_hash=False)
return cls | [
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train | _add_cmp | Add comparison methods to *cls*. | pipenv/vendor/attr/_make.py | def _add_cmp(cls, attrs=None):
"""
Add comparison methods to *cls*.
"""
if attrs is None:
attrs = cls.__attrs_attrs__
cls.__eq__, cls.__ne__, cls.__lt__, cls.__le__, cls.__gt__, cls.__ge__ = _make_cmp( # noqa
attrs
)
return cls | def _add_cmp(cls, attrs=None):
"""
Add comparison methods to *cls*.
"""
if attrs is None:
attrs = cls.__attrs_attrs__
cls.__eq__, cls.__ne__, cls.__lt__, cls.__le__, cls.__gt__, cls.__ge__ = _make_cmp( # noqa
attrs
)
return cls | [
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train | _make_repr | Make a repr method for *attr_names* adding *ns* to the full name. | pipenv/vendor/attr/_make.py | def _make_repr(attrs, ns):
"""
Make a repr method for *attr_names* adding *ns* to the full name.
"""
attr_names = tuple(a.name for a in attrs if a.repr)
def __repr__(self):
"""
Automatically created by attrs.
"""
try:
working_set = _already_repring.working_set
except AttributeError:
working_set = set()
_already_repring.working_set = working_set
if id(self) in working_set:
return "..."
real_cls = self.__class__
if ns is None:
qualname = getattr(real_cls, "__qualname__", None)
if qualname is not None:
class_name = qualname.rsplit(">.", 1)[-1]
else:
class_name = real_cls.__name__
else:
class_name = ns + "." + real_cls.__name__
# Since 'self' remains on the stack (i.e.: strongly referenced) for the
# duration of this call, it's safe to depend on id(...) stability, and
# not need to track the instance and therefore worry about properties
# like weakref- or hash-ability.
working_set.add(id(self))
try:
result = [class_name, "("]
first = True
for name in attr_names:
if first:
first = False
else:
result.append(", ")
result.extend((name, "=", repr(getattr(self, name, NOTHING))))
return "".join(result) + ")"
finally:
working_set.remove(id(self))
return __repr__ | def _make_repr(attrs, ns):
"""
Make a repr method for *attr_names* adding *ns* to the full name.
"""
attr_names = tuple(a.name for a in attrs if a.repr)
def __repr__(self):
"""
Automatically created by attrs.
"""
try:
working_set = _already_repring.working_set
except AttributeError:
working_set = set()
_already_repring.working_set = working_set
if id(self) in working_set:
return "..."
real_cls = self.__class__
if ns is None:
qualname = getattr(real_cls, "__qualname__", None)
if qualname is not None:
class_name = qualname.rsplit(">.", 1)[-1]
else:
class_name = real_cls.__name__
else:
class_name = ns + "." + real_cls.__name__
# Since 'self' remains on the stack (i.e.: strongly referenced) for the
# duration of this call, it's safe to depend on id(...) stability, and
# not need to track the instance and therefore worry about properties
# like weakref- or hash-ability.
working_set.add(id(self))
try:
result = [class_name, "("]
first = True
for name in attr_names:
if first:
first = False
else:
result.append(", ")
result.extend((name, "=", repr(getattr(self, name, NOTHING))))
return "".join(result) + ")"
finally:
working_set.remove(id(self))
return __repr__ | [
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train | _add_repr | Add a repr method to *cls*. | pipenv/vendor/attr/_make.py | def _add_repr(cls, ns=None, attrs=None):
"""
Add a repr method to *cls*.
"""
if attrs is None:
attrs = cls.__attrs_attrs__
cls.__repr__ = _make_repr(attrs, ns)
return cls | def _add_repr(cls, ns=None, attrs=None):
"""
Add a repr method to *cls*.
"""
if attrs is None:
attrs = cls.__attrs_attrs__
cls.__repr__ = _make_repr(attrs, ns)
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train | fields | Return the tuple of ``attrs`` attributes for a class.
The tuple also allows accessing the fields by their names (see below for
examples).
:param type cls: Class to introspect.
:raise TypeError: If *cls* is not a class.
:raise attr.exceptions.NotAnAttrsClassError: If *cls* is not an ``attrs``
class.
:rtype: tuple (with name accessors) of :class:`attr.Attribute`
.. versionchanged:: 16.2.0 Returned tuple allows accessing the fields
by name. | pipenv/vendor/attr/_make.py | def fields(cls):
"""
Return the tuple of ``attrs`` attributes for a class.
The tuple also allows accessing the fields by their names (see below for
examples).
:param type cls: Class to introspect.
:raise TypeError: If *cls* is not a class.
:raise attr.exceptions.NotAnAttrsClassError: If *cls* is not an ``attrs``
class.
:rtype: tuple (with name accessors) of :class:`attr.Attribute`
.. versionchanged:: 16.2.0 Returned tuple allows accessing the fields
by name.
"""
if not isclass(cls):
raise TypeError("Passed object must be a class.")
attrs = getattr(cls, "__attrs_attrs__", None)
if attrs is None:
raise NotAnAttrsClassError(
"{cls!r} is not an attrs-decorated class.".format(cls=cls)
)
return attrs | def fields(cls):
"""
Return the tuple of ``attrs`` attributes for a class.
The tuple also allows accessing the fields by their names (see below for
examples).
:param type cls: Class to introspect.
:raise TypeError: If *cls* is not a class.
:raise attr.exceptions.NotAnAttrsClassError: If *cls* is not an ``attrs``
class.
:rtype: tuple (with name accessors) of :class:`attr.Attribute`
.. versionchanged:: 16.2.0 Returned tuple allows accessing the fields
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"""
if not isclass(cls):
raise TypeError("Passed object must be a class.")
attrs = getattr(cls, "__attrs_attrs__", None)
if attrs is None:
raise NotAnAttrsClassError(
"{cls!r} is not an attrs-decorated class.".format(cls=cls)
)
return attrs | [
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train | fields_dict | Return an ordered dictionary of ``attrs`` attributes for a class, whose
keys are the attribute names.
:param type cls: Class to introspect.
:raise TypeError: If *cls* is not a class.
:raise attr.exceptions.NotAnAttrsClassError: If *cls* is not an ``attrs``
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:rtype: an ordered dict where keys are attribute names and values are
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.. versionadded:: 18.1.0 | pipenv/vendor/attr/_make.py | def fields_dict(cls):
"""
Return an ordered dictionary of ``attrs`` attributes for a class, whose
keys are the attribute names.
:param type cls: Class to introspect.
:raise TypeError: If *cls* is not a class.
:raise attr.exceptions.NotAnAttrsClassError: If *cls* is not an ``attrs``
class.
:rtype: an ordered dict where keys are attribute names and values are
:class:`attr.Attribute`\\ s. This will be a :class:`dict` if it's
naturally ordered like on Python 3.6+ or an
:class:`~collections.OrderedDict` otherwise.
.. versionadded:: 18.1.0
"""
if not isclass(cls):
raise TypeError("Passed object must be a class.")
attrs = getattr(cls, "__attrs_attrs__", None)
if attrs is None:
raise NotAnAttrsClassError(
"{cls!r} is not an attrs-decorated class.".format(cls=cls)
)
return ordered_dict(((a.name, a) for a in attrs)) | def fields_dict(cls):
"""
Return an ordered dictionary of ``attrs`` attributes for a class, whose
keys are the attribute names.
:param type cls: Class to introspect.
:raise TypeError: If *cls* is not a class.
:raise attr.exceptions.NotAnAttrsClassError: If *cls* is not an ``attrs``
class.
:rtype: an ordered dict where keys are attribute names and values are
:class:`attr.Attribute`\\ s. This will be a :class:`dict` if it's
naturally ordered like on Python 3.6+ or an
:class:`~collections.OrderedDict` otherwise.
.. versionadded:: 18.1.0
"""
if not isclass(cls):
raise TypeError("Passed object must be a class.")
attrs = getattr(cls, "__attrs_attrs__", None)
if attrs is None:
raise NotAnAttrsClassError(
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)
return ordered_dict(((a.name, a) for a in attrs)) | [
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train | validate | Validate all attributes on *inst* that have a validator.
Leaves all exceptions through.
:param inst: Instance of a class with ``attrs`` attributes. | pipenv/vendor/attr/_make.py | def validate(inst):
"""
Validate all attributes on *inst* that have a validator.
Leaves all exceptions through.
:param inst: Instance of a class with ``attrs`` attributes.
"""
if _config._run_validators is False:
return
for a in fields(inst.__class__):
v = a.validator
if v is not None:
v(inst, a, getattr(inst, a.name)) | def validate(inst):
"""
Validate all attributes on *inst* that have a validator.
Leaves all exceptions through.
:param inst: Instance of a class with ``attrs`` attributes.
"""
if _config._run_validators is False:
return
for a in fields(inst.__class__):
v = a.validator
if v is not None:
v(inst, a, getattr(inst, a.name)) | [
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] | pypa/pipenv | python | https://github.com/pypa/pipenv/blob/cae8d76c210b9777e90aab76e9c4b0e53bb19cde/pipenv/vendor/attr/_make.py#L1367-L1381 | [
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train | _attrs_to_init_script | Return a script of an initializer for *attrs* and a dict of globals.
The globals are expected by the generated script.
If *frozen* is True, we cannot set the attributes directly so we use
a cached ``object.__setattr__``. | pipenv/vendor/attr/_make.py | def _attrs_to_init_script(
attrs, frozen, slots, post_init, cache_hash, base_attr_map, is_exc
):
"""
Return a script of an initializer for *attrs* and a dict of globals.
The globals are expected by the generated script.
If *frozen* is True, we cannot set the attributes directly so we use
a cached ``object.__setattr__``.
"""
lines = []
any_slot_ancestors = any(
_is_slot_attr(a.name, base_attr_map) for a in attrs
)
if frozen is True:
if slots is True:
lines.append(
# Circumvent the __setattr__ descriptor to save one lookup per
# assignment.
# Note _setattr will be used again below if cache_hash is True
"_setattr = _cached_setattr.__get__(self, self.__class__)"
)
def fmt_setter(attr_name, value_var):
return "_setattr('%(attr_name)s', %(value_var)s)" % {
"attr_name": attr_name,
"value_var": value_var,
}
def fmt_setter_with_converter(attr_name, value_var):
conv_name = _init_converter_pat.format(attr_name)
return "_setattr('%(attr_name)s', %(conv)s(%(value_var)s))" % {
"attr_name": attr_name,
"value_var": value_var,
"conv": conv_name,
}
else:
# Dict frozen classes assign directly to __dict__.
# But only if the attribute doesn't come from an ancestor slot
# class.
# Note _inst_dict will be used again below if cache_hash is True
lines.append("_inst_dict = self.__dict__")
if any_slot_ancestors:
lines.append(
# Circumvent the __setattr__ descriptor to save one lookup
# per assignment.
"_setattr = _cached_setattr.__get__(self, self.__class__)"
)
def fmt_setter(attr_name, value_var):
if _is_slot_attr(attr_name, base_attr_map):
res = "_setattr('%(attr_name)s', %(value_var)s)" % {
"attr_name": attr_name,
"value_var": value_var,
}
else:
res = "_inst_dict['%(attr_name)s'] = %(value_var)s" % {
"attr_name": attr_name,
"value_var": value_var,
}
return res
def fmt_setter_with_converter(attr_name, value_var):
conv_name = _init_converter_pat.format(attr_name)
if _is_slot_attr(attr_name, base_attr_map):
tmpl = "_setattr('%(attr_name)s', %(c)s(%(value_var)s))"
else:
tmpl = "_inst_dict['%(attr_name)s'] = %(c)s(%(value_var)s)"
return tmpl % {
"attr_name": attr_name,
"value_var": value_var,
"c": conv_name,
}
else:
# Not frozen.
def fmt_setter(attr_name, value):
return "self.%(attr_name)s = %(value)s" % {
"attr_name": attr_name,
"value": value,
}
def fmt_setter_with_converter(attr_name, value_var):
conv_name = _init_converter_pat.format(attr_name)
return "self.%(attr_name)s = %(conv)s(%(value_var)s)" % {
"attr_name": attr_name,
"value_var": value_var,
"conv": conv_name,
}
args = []
kw_only_args = []
attrs_to_validate = []
# This is a dictionary of names to validator and converter callables.
# Injecting this into __init__ globals lets us avoid lookups.
names_for_globals = {}
annotations = {"return": None}
for a in attrs:
if a.validator:
attrs_to_validate.append(a)
attr_name = a.name
arg_name = a.name.lstrip("_")
has_factory = isinstance(a.default, Factory)
if has_factory and a.default.takes_self:
maybe_self = "self"
else:
maybe_self = ""
if a.init is False:
if has_factory:
init_factory_name = _init_factory_pat.format(a.name)
if a.converter is not None:
lines.append(
fmt_setter_with_converter(
attr_name,
init_factory_name + "({0})".format(maybe_self),
)
)
conv_name = _init_converter_pat.format(a.name)
names_for_globals[conv_name] = a.converter
else:
lines.append(
fmt_setter(
attr_name,
init_factory_name + "({0})".format(maybe_self),
)
)
names_for_globals[init_factory_name] = a.default.factory
else:
if a.converter is not None:
lines.append(
fmt_setter_with_converter(
attr_name,
"attr_dict['{attr_name}'].default".format(
attr_name=attr_name
),
)
)
conv_name = _init_converter_pat.format(a.name)
names_for_globals[conv_name] = a.converter
else:
lines.append(
fmt_setter(
attr_name,
"attr_dict['{attr_name}'].default".format(
attr_name=attr_name
),
)
)
elif a.default is not NOTHING and not has_factory:
arg = "{arg_name}=attr_dict['{attr_name}'].default".format(
arg_name=arg_name, attr_name=attr_name
)
if a.kw_only:
kw_only_args.append(arg)
else:
args.append(arg)
if a.converter is not None:
lines.append(fmt_setter_with_converter(attr_name, arg_name))
names_for_globals[
_init_converter_pat.format(a.name)
] = a.converter
else:
lines.append(fmt_setter(attr_name, arg_name))
elif has_factory:
arg = "{arg_name}=NOTHING".format(arg_name=arg_name)
if a.kw_only:
kw_only_args.append(arg)
else:
args.append(arg)
lines.append(
"if {arg_name} is not NOTHING:".format(arg_name=arg_name)
)
init_factory_name = _init_factory_pat.format(a.name)
if a.converter is not None:
lines.append(
" " + fmt_setter_with_converter(attr_name, arg_name)
)
lines.append("else:")
lines.append(
" "
+ fmt_setter_with_converter(
attr_name,
init_factory_name + "({0})".format(maybe_self),
)
)
names_for_globals[
_init_converter_pat.format(a.name)
] = a.converter
else:
lines.append(" " + fmt_setter(attr_name, arg_name))
lines.append("else:")
lines.append(
" "
+ fmt_setter(
attr_name,
init_factory_name + "({0})".format(maybe_self),
)
)
names_for_globals[init_factory_name] = a.default.factory
else:
if a.kw_only:
kw_only_args.append(arg_name)
else:
args.append(arg_name)
if a.converter is not None:
lines.append(fmt_setter_with_converter(attr_name, arg_name))
names_for_globals[
_init_converter_pat.format(a.name)
] = a.converter
else:
lines.append(fmt_setter(attr_name, arg_name))
if a.init is True and a.converter is None and a.type is not None:
annotations[arg_name] = a.type
if attrs_to_validate: # we can skip this if there are no validators.
names_for_globals["_config"] = _config
lines.append("if _config._run_validators is True:")
for a in attrs_to_validate:
val_name = "__attr_validator_{}".format(a.name)
attr_name = "__attr_{}".format(a.name)
lines.append(
" {}(self, {}, self.{})".format(val_name, attr_name, a.name)
)
names_for_globals[val_name] = a.validator
names_for_globals[attr_name] = a
if post_init:
lines.append("self.__attrs_post_init__()")
# because this is set only after __attrs_post_init is called, a crash
# will result if post-init tries to access the hash code. This seemed
# preferable to setting this beforehand, in which case alteration to
# field values during post-init combined with post-init accessing the
# hash code would result in silent bugs.
if cache_hash:
if frozen:
if slots:
# if frozen and slots, then _setattr defined above
init_hash_cache = "_setattr('%s', %s)"
else:
# if frozen and not slots, then _inst_dict defined above
init_hash_cache = "_inst_dict['%s'] = %s"
else:
init_hash_cache = "self.%s = %s"
lines.append(init_hash_cache % (_hash_cache_field, "None"))
# For exceptions we rely on BaseException.__init__ for proper
# initialization.
if is_exc:
vals = ",".join("self." + a.name for a in attrs if a.init)
lines.append("BaseException.__init__(self, %s)" % (vals,))
args = ", ".join(args)
if kw_only_args:
if PY2:
raise PythonTooOldError(
"Keyword-only arguments only work on Python 3 and later."
)
args += "{leading_comma}*, {kw_only_args}".format(
leading_comma=", " if args else "",
kw_only_args=", ".join(kw_only_args),
)
return (
"""\
def __init__(self, {args}):
{lines}
""".format(
args=args, lines="\n ".join(lines) if lines else "pass"
),
names_for_globals,
annotations,
) | def _attrs_to_init_script(
attrs, frozen, slots, post_init, cache_hash, base_attr_map, is_exc
):
"""
Return a script of an initializer for *attrs* and a dict of globals.
The globals are expected by the generated script.
If *frozen* is True, we cannot set the attributes directly so we use
a cached ``object.__setattr__``.
"""
lines = []
any_slot_ancestors = any(
_is_slot_attr(a.name, base_attr_map) for a in attrs
)
if frozen is True:
if slots is True:
lines.append(
# Circumvent the __setattr__ descriptor to save one lookup per
# assignment.
# Note _setattr will be used again below if cache_hash is True
"_setattr = _cached_setattr.__get__(self, self.__class__)"
)
def fmt_setter(attr_name, value_var):
return "_setattr('%(attr_name)s', %(value_var)s)" % {
"attr_name": attr_name,
"value_var": value_var,
}
def fmt_setter_with_converter(attr_name, value_var):
conv_name = _init_converter_pat.format(attr_name)
return "_setattr('%(attr_name)s', %(conv)s(%(value_var)s))" % {
"attr_name": attr_name,
"value_var": value_var,
"conv": conv_name,
}
else:
# Dict frozen classes assign directly to __dict__.
# But only if the attribute doesn't come from an ancestor slot
# class.
# Note _inst_dict will be used again below if cache_hash is True
lines.append("_inst_dict = self.__dict__")
if any_slot_ancestors:
lines.append(
# Circumvent the __setattr__ descriptor to save one lookup
# per assignment.
"_setattr = _cached_setattr.__get__(self, self.__class__)"
)
def fmt_setter(attr_name, value_var):
if _is_slot_attr(attr_name, base_attr_map):
res = "_setattr('%(attr_name)s', %(value_var)s)" % {
"attr_name": attr_name,
"value_var": value_var,
}
else:
res = "_inst_dict['%(attr_name)s'] = %(value_var)s" % {
"attr_name": attr_name,
"value_var": value_var,
}
return res
def fmt_setter_with_converter(attr_name, value_var):
conv_name = _init_converter_pat.format(attr_name)
if _is_slot_attr(attr_name, base_attr_map):
tmpl = "_setattr('%(attr_name)s', %(c)s(%(value_var)s))"
else:
tmpl = "_inst_dict['%(attr_name)s'] = %(c)s(%(value_var)s)"
return tmpl % {
"attr_name": attr_name,
"value_var": value_var,
"c": conv_name,
}
else:
# Not frozen.
def fmt_setter(attr_name, value):
return "self.%(attr_name)s = %(value)s" % {
"attr_name": attr_name,
"value": value,
}
def fmt_setter_with_converter(attr_name, value_var):
conv_name = _init_converter_pat.format(attr_name)
return "self.%(attr_name)s = %(conv)s(%(value_var)s)" % {
"attr_name": attr_name,
"value_var": value_var,
"conv": conv_name,
}
args = []
kw_only_args = []
attrs_to_validate = []
# This is a dictionary of names to validator and converter callables.
# Injecting this into __init__ globals lets us avoid lookups.
names_for_globals = {}
annotations = {"return": None}
for a in attrs:
if a.validator:
attrs_to_validate.append(a)
attr_name = a.name
arg_name = a.name.lstrip("_")
has_factory = isinstance(a.default, Factory)
if has_factory and a.default.takes_self:
maybe_self = "self"
else:
maybe_self = ""
if a.init is False:
if has_factory:
init_factory_name = _init_factory_pat.format(a.name)
if a.converter is not None:
lines.append(
fmt_setter_with_converter(
attr_name,
init_factory_name + "({0})".format(maybe_self),
)
)
conv_name = _init_converter_pat.format(a.name)
names_for_globals[conv_name] = a.converter
else:
lines.append(
fmt_setter(
attr_name,
init_factory_name + "({0})".format(maybe_self),
)
)
names_for_globals[init_factory_name] = a.default.factory
else:
if a.converter is not None:
lines.append(
fmt_setter_with_converter(
attr_name,
"attr_dict['{attr_name}'].default".format(
attr_name=attr_name
),
)
)
conv_name = _init_converter_pat.format(a.name)
names_for_globals[conv_name] = a.converter
else:
lines.append(
fmt_setter(
attr_name,
"attr_dict['{attr_name}'].default".format(
attr_name=attr_name
),
)
)
elif a.default is not NOTHING and not has_factory:
arg = "{arg_name}=attr_dict['{attr_name}'].default".format(
arg_name=arg_name, attr_name=attr_name
)
if a.kw_only:
kw_only_args.append(arg)
else:
args.append(arg)
if a.converter is not None:
lines.append(fmt_setter_with_converter(attr_name, arg_name))
names_for_globals[
_init_converter_pat.format(a.name)
] = a.converter
else:
lines.append(fmt_setter(attr_name, arg_name))
elif has_factory:
arg = "{arg_name}=NOTHING".format(arg_name=arg_name)
if a.kw_only:
kw_only_args.append(arg)
else:
args.append(arg)
lines.append(
"if {arg_name} is not NOTHING:".format(arg_name=arg_name)
)
init_factory_name = _init_factory_pat.format(a.name)
if a.converter is not None:
lines.append(
" " + fmt_setter_with_converter(attr_name, arg_name)
)
lines.append("else:")
lines.append(
" "
+ fmt_setter_with_converter(
attr_name,
init_factory_name + "({0})".format(maybe_self),
)
)
names_for_globals[
_init_converter_pat.format(a.name)
] = a.converter
else:
lines.append(" " + fmt_setter(attr_name, arg_name))
lines.append("else:")
lines.append(
" "
+ fmt_setter(
attr_name,
init_factory_name + "({0})".format(maybe_self),
)
)
names_for_globals[init_factory_name] = a.default.factory
else:
if a.kw_only:
kw_only_args.append(arg_name)
else:
args.append(arg_name)
if a.converter is not None:
lines.append(fmt_setter_with_converter(attr_name, arg_name))
names_for_globals[
_init_converter_pat.format(a.name)
] = a.converter
else:
lines.append(fmt_setter(attr_name, arg_name))
if a.init is True and a.converter is None and a.type is not None:
annotations[arg_name] = a.type
if attrs_to_validate: # we can skip this if there are no validators.
names_for_globals["_config"] = _config
lines.append("if _config._run_validators is True:")
for a in attrs_to_validate:
val_name = "__attr_validator_{}".format(a.name)
attr_name = "__attr_{}".format(a.name)
lines.append(
" {}(self, {}, self.{})".format(val_name, attr_name, a.name)
)
names_for_globals[val_name] = a.validator
names_for_globals[attr_name] = a
if post_init:
lines.append("self.__attrs_post_init__()")
# because this is set only after __attrs_post_init is called, a crash
# will result if post-init tries to access the hash code. This seemed
# preferable to setting this beforehand, in which case alteration to
# field values during post-init combined with post-init accessing the
# hash code would result in silent bugs.
if cache_hash:
if frozen:
if slots:
# if frozen and slots, then _setattr defined above
init_hash_cache = "_setattr('%s', %s)"
else:
# if frozen and not slots, then _inst_dict defined above
init_hash_cache = "_inst_dict['%s'] = %s"
else:
init_hash_cache = "self.%s = %s"
lines.append(init_hash_cache % (_hash_cache_field, "None"))
# For exceptions we rely on BaseException.__init__ for proper
# initialization.
if is_exc:
vals = ",".join("self." + a.name for a in attrs if a.init)
lines.append("BaseException.__init__(self, %s)" % (vals,))
args = ", ".join(args)
if kw_only_args:
if PY2:
raise PythonTooOldError(
"Keyword-only arguments only work on Python 3 and later."
)
args += "{leading_comma}*, {kw_only_args}".format(
leading_comma=", " if args else "",
kw_only_args=", ".join(kw_only_args),
)
return (
"""\
def __init__(self, {args}):
{lines}
""".format(
args=args, lines="\n ".join(lines) if lines else "pass"
),
names_for_globals,
annotations,
) | [
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"n... | cae8d76c210b9777e90aab76e9c4b0e53bb19cde |
train | make_class | A quick way to create a new class called *name* with *attrs*.
:param name: The name for the new class.
:type name: str
:param attrs: A list of names or a dictionary of mappings of names to
attributes.
If *attrs* is a list or an ordered dict (:class:`dict` on Python 3.6+,
:class:`collections.OrderedDict` otherwise), the order is deduced from
the order of the names or attributes inside *attrs*. Otherwise the
order of the definition of the attributes is used.
:type attrs: :class:`list` or :class:`dict`
:param tuple bases: Classes that the new class will subclass.
:param attributes_arguments: Passed unmodified to :func:`attr.s`.
:return: A new class with *attrs*.
:rtype: type
.. versionadded:: 17.1.0 *bases*
.. versionchanged:: 18.1.0 If *attrs* is ordered, the order is retained. | pipenv/vendor/attr/_make.py | def make_class(name, attrs, bases=(object,), **attributes_arguments):
"""
A quick way to create a new class called *name* with *attrs*.
:param name: The name for the new class.
:type name: str
:param attrs: A list of names or a dictionary of mappings of names to
attributes.
If *attrs* is a list or an ordered dict (:class:`dict` on Python 3.6+,
:class:`collections.OrderedDict` otherwise), the order is deduced from
the order of the names or attributes inside *attrs*. Otherwise the
order of the definition of the attributes is used.
:type attrs: :class:`list` or :class:`dict`
:param tuple bases: Classes that the new class will subclass.
:param attributes_arguments: Passed unmodified to :func:`attr.s`.
:return: A new class with *attrs*.
:rtype: type
.. versionadded:: 17.1.0 *bases*
.. versionchanged:: 18.1.0 If *attrs* is ordered, the order is retained.
"""
if isinstance(attrs, dict):
cls_dict = attrs
elif isinstance(attrs, (list, tuple)):
cls_dict = dict((a, attrib()) for a in attrs)
else:
raise TypeError("attrs argument must be a dict or a list.")
post_init = cls_dict.pop("__attrs_post_init__", None)
type_ = type(
name,
bases,
{} if post_init is None else {"__attrs_post_init__": post_init},
)
# For pickling to work, the __module__ variable needs to be set to the
# frame where the class is created. Bypass this step in environments where
# sys._getframe is not defined (Jython for example) or sys._getframe is not
# defined for arguments greater than 0 (IronPython).
try:
type_.__module__ = sys._getframe(1).f_globals.get(
"__name__", "__main__"
)
except (AttributeError, ValueError):
pass
return _attrs(these=cls_dict, **attributes_arguments)(type_) | def make_class(name, attrs, bases=(object,), **attributes_arguments):
"""
A quick way to create a new class called *name* with *attrs*.
:param name: The name for the new class.
:type name: str
:param attrs: A list of names or a dictionary of mappings of names to
attributes.
If *attrs* is a list or an ordered dict (:class:`dict` on Python 3.6+,
:class:`collections.OrderedDict` otherwise), the order is deduced from
the order of the names or attributes inside *attrs*. Otherwise the
order of the definition of the attributes is used.
:type attrs: :class:`list` or :class:`dict`
:param tuple bases: Classes that the new class will subclass.
:param attributes_arguments: Passed unmodified to :func:`attr.s`.
:return: A new class with *attrs*.
:rtype: type
.. versionadded:: 17.1.0 *bases*
.. versionchanged:: 18.1.0 If *attrs* is ordered, the order is retained.
"""
if isinstance(attrs, dict):
cls_dict = attrs
elif isinstance(attrs, (list, tuple)):
cls_dict = dict((a, attrib()) for a in attrs)
else:
raise TypeError("attrs argument must be a dict or a list.")
post_init = cls_dict.pop("__attrs_post_init__", None)
type_ = type(
name,
bases,
{} if post_init is None else {"__attrs_post_init__": post_init},
)
# For pickling to work, the __module__ variable needs to be set to the
# frame where the class is created. Bypass this step in environments where
# sys._getframe is not defined (Jython for example) or sys._getframe is not
# defined for arguments greater than 0 (IronPython).
try:
type_.__module__ = sys._getframe(1).f_globals.get(
"__name__", "__main__"
)
except (AttributeError, ValueError):
pass
return _attrs(these=cls_dict, **attributes_arguments)(type_) | [
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train | and_ | A validator that composes multiple validators into one.
When called on a value, it runs all wrapped validators.
:param validators: Arbitrary number of validators.
:type validators: callables
.. versionadded:: 17.1.0 | pipenv/vendor/attr/_make.py | def and_(*validators):
"""
A validator that composes multiple validators into one.
When called on a value, it runs all wrapped validators.
:param validators: Arbitrary number of validators.
:type validators: callables
.. versionadded:: 17.1.0
"""
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vals.extend(
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A validator that composes multiple validators into one.
When called on a value, it runs all wrapped validators.
:param validators: Arbitrary number of validators.
:type validators: callables
.. versionadded:: 17.1.0
"""
vals = []
for validator in validators:
vals.extend(
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train | _ClassBuilder._patch_original_class | Apply accumulated methods and return the class. | pipenv/vendor/attr/_make.py | def _patch_original_class(self):
"""
Apply accumulated methods and return the class.
"""
cls = self._cls
base_names = self._base_names
# Clean class of attribute definitions (`attr.ib()`s).
if self._delete_attribs:
for name in self._attr_names:
if (
name not in base_names
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):
try:
delattr(cls, name)
except AttributeError:
# This can happen if a base class defines a class
# variable and we want to set an attribute with the
# same name by using only a type annotation.
pass
# Attach our dunder methods.
for name, value in self._cls_dict.items():
setattr(cls, name, value)
# Attach __setstate__. This is necessary to clear the hash code
# cache on deserialization. See issue
# https://github.com/python-attrs/attrs/issues/482 .
# Note that this code only handles setstate for dict classes.
# For slotted classes, see similar code in _create_slots_class .
if self._cache_hash:
existing_set_state_method = getattr(cls, "__setstate__", None)
if existing_set_state_method:
raise NotImplementedError(
"Currently you cannot use hash caching if "
"you specify your own __setstate__ method."
"See https://github.com/python-attrs/attrs/issues/494 ."
)
def cache_hash_set_state(chss_self, _):
# clear hash code cache
setattr(chss_self, _hash_cache_field, None)
setattr(cls, "__setstate__", cache_hash_set_state)
return cls | def _patch_original_class(self):
"""
Apply accumulated methods and return the class.
"""
cls = self._cls
base_names = self._base_names
# Clean class of attribute definitions (`attr.ib()`s).
if self._delete_attribs:
for name in self._attr_names:
if (
name not in base_names
and getattr(cls, name, None) is not None
):
try:
delattr(cls, name)
except AttributeError:
# This can happen if a base class defines a class
# variable and we want to set an attribute with the
# same name by using only a type annotation.
pass
# Attach our dunder methods.
for name, value in self._cls_dict.items():
setattr(cls, name, value)
# Attach __setstate__. This is necessary to clear the hash code
# cache on deserialization. See issue
# https://github.com/python-attrs/attrs/issues/482 .
# Note that this code only handles setstate for dict classes.
# For slotted classes, see similar code in _create_slots_class .
if self._cache_hash:
existing_set_state_method = getattr(cls, "__setstate__", None)
if existing_set_state_method:
raise NotImplementedError(
"Currently you cannot use hash caching if "
"you specify your own __setstate__ method."
"See https://github.com/python-attrs/attrs/issues/494 ."
)
def cache_hash_set_state(chss_self, _):
# clear hash code cache
setattr(chss_self, _hash_cache_field, None)
setattr(cls, "__setstate__", cache_hash_set_state)
return cls | [
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train | _ClassBuilder._create_slots_class | Build and return a new class with a `__slots__` attribute. | pipenv/vendor/attr/_make.py | def _create_slots_class(self):
"""
Build and return a new class with a `__slots__` attribute.
"""
base_names = self._base_names
cd = {
k: v
for k, v in iteritems(self._cls_dict)
if k not in tuple(self._attr_names) + ("__dict__", "__weakref__")
}
weakref_inherited = False
# Traverse the MRO to check for an existing __weakref__.
for base_cls in self._cls.__mro__[1:-1]:
if "__weakref__" in getattr(base_cls, "__dict__", ()):
weakref_inherited = True
break
names = self._attr_names
if (
self._weakref_slot
and "__weakref__" not in getattr(self._cls, "__slots__", ())
and "__weakref__" not in names
and not weakref_inherited
):
names += ("__weakref__",)
# We only add the names of attributes that aren't inherited.
# Settings __slots__ to inherited attributes wastes memory.
slot_names = [name for name in names if name not in base_names]
if self._cache_hash:
slot_names.append(_hash_cache_field)
cd["__slots__"] = tuple(slot_names)
qualname = getattr(self._cls, "__qualname__", None)
if qualname is not None:
cd["__qualname__"] = qualname
# __weakref__ is not writable.
state_attr_names = tuple(
an for an in self._attr_names if an != "__weakref__"
)
def slots_getstate(self):
"""
Automatically created by attrs.
"""
return tuple(getattr(self, name) for name in state_attr_names)
hash_caching_enabled = self._cache_hash
def slots_setstate(self, state):
"""
Automatically created by attrs.
"""
__bound_setattr = _obj_setattr.__get__(self, Attribute)
for name, value in zip(state_attr_names, state):
__bound_setattr(name, value)
# Clearing the hash code cache on deserialization is needed
# because hash codes can change from run to run. See issue
# https://github.com/python-attrs/attrs/issues/482 .
# Note that this code only handles setstate for slotted classes.
# For dict classes, see similar code in _patch_original_class .
if hash_caching_enabled:
__bound_setattr(_hash_cache_field, None)
# slots and frozen require __getstate__/__setstate__ to work
cd["__getstate__"] = slots_getstate
cd["__setstate__"] = slots_setstate
# Create new class based on old class and our methods.
cls = type(self._cls)(self._cls.__name__, self._cls.__bases__, cd)
# The following is a fix for
# https://github.com/python-attrs/attrs/issues/102. On Python 3,
# if a method mentions `__class__` or uses the no-arg super(), the
# compiler will bake a reference to the class in the method itself
# as `method.__closure__`. Since we replace the class with a
# clone, we rewrite these references so it keeps working.
for item in cls.__dict__.values():
if isinstance(item, (classmethod, staticmethod)):
# Class- and staticmethods hide their functions inside.
# These might need to be rewritten as well.
closure_cells = getattr(item.__func__, "__closure__", None)
else:
closure_cells = getattr(item, "__closure__", None)
if not closure_cells: # Catch None or the empty list.
continue
for cell in closure_cells:
if cell.cell_contents is self._cls:
set_closure_cell(cell, cls)
return cls | def _create_slots_class(self):
"""
Build and return a new class with a `__slots__` attribute.
"""
base_names = self._base_names
cd = {
k: v
for k, v in iteritems(self._cls_dict)
if k not in tuple(self._attr_names) + ("__dict__", "__weakref__")
}
weakref_inherited = False
# Traverse the MRO to check for an existing __weakref__.
for base_cls in self._cls.__mro__[1:-1]:
if "__weakref__" in getattr(base_cls, "__dict__", ()):
weakref_inherited = True
break
names = self._attr_names
if (
self._weakref_slot
and "__weakref__" not in getattr(self._cls, "__slots__", ())
and "__weakref__" not in names
and not weakref_inherited
):
names += ("__weakref__",)
# We only add the names of attributes that aren't inherited.
# Settings __slots__ to inherited attributes wastes memory.
slot_names = [name for name in names if name not in base_names]
if self._cache_hash:
slot_names.append(_hash_cache_field)
cd["__slots__"] = tuple(slot_names)
qualname = getattr(self._cls, "__qualname__", None)
if qualname is not None:
cd["__qualname__"] = qualname
# __weakref__ is not writable.
state_attr_names = tuple(
an for an in self._attr_names if an != "__weakref__"
)
def slots_getstate(self):
"""
Automatically created by attrs.
"""
return tuple(getattr(self, name) for name in state_attr_names)
hash_caching_enabled = self._cache_hash
def slots_setstate(self, state):
"""
Automatically created by attrs.
"""
__bound_setattr = _obj_setattr.__get__(self, Attribute)
for name, value in zip(state_attr_names, state):
__bound_setattr(name, value)
# Clearing the hash code cache on deserialization is needed
# because hash codes can change from run to run. See issue
# https://github.com/python-attrs/attrs/issues/482 .
# Note that this code only handles setstate for slotted classes.
# For dict classes, see similar code in _patch_original_class .
if hash_caching_enabled:
__bound_setattr(_hash_cache_field, None)
# slots and frozen require __getstate__/__setstate__ to work
cd["__getstate__"] = slots_getstate
cd["__setstate__"] = slots_setstate
# Create new class based on old class and our methods.
cls = type(self._cls)(self._cls.__name__, self._cls.__bases__, cd)
# The following is a fix for
# https://github.com/python-attrs/attrs/issues/102. On Python 3,
# if a method mentions `__class__` or uses the no-arg super(), the
# compiler will bake a reference to the class in the method itself
# as `method.__closure__`. Since we replace the class with a
# clone, we rewrite these references so it keeps working.
for item in cls.__dict__.values():
if isinstance(item, (classmethod, staticmethod)):
# Class- and staticmethods hide their functions inside.
# These might need to be rewritten as well.
closure_cells = getattr(item.__func__, "__closure__", None)
else:
closure_cells = getattr(item, "__closure__", None)
if not closure_cells: # Catch None or the empty list.
continue
for cell in closure_cells:
if cell.cell_contents is self._cls:
set_closure_cell(cell, cls)
return cls | [
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train | _ClassBuilder._add_method_dunders | Add __module__ and __qualname__ to a *method* if possible. | pipenv/vendor/attr/_make.py | def _add_method_dunders(self, method):
"""
Add __module__ and __qualname__ to a *method* if possible.
"""
try:
method.__module__ = self._cls.__module__
except AttributeError:
pass
try:
method.__qualname__ = ".".join(
(self._cls.__qualname__, method.__name__)
)
except AttributeError:
pass
return method | def _add_method_dunders(self, method):
"""
Add __module__ and __qualname__ to a *method* if possible.
"""
try:
method.__module__ = self._cls.__module__
except AttributeError:
pass
try:
method.__qualname__ = ".".join(
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train | Attribute._assoc | Copy *self* and apply *changes*. | pipenv/vendor/attr/_make.py | def _assoc(self, **changes):
"""
Copy *self* and apply *changes*.
"""
new = copy.copy(self)
new._setattrs(changes.items())
return new | def _assoc(self, **changes):
"""
Copy *self* and apply *changes*.
"""
new = copy.copy(self)
new._setattrs(changes.items())
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train | _CountingAttr.validator | Decorator that adds *meth* to the list of validators.
Returns *meth* unchanged.
.. versionadded:: 17.1.0 | pipenv/vendor/attr/_make.py | def validator(self, meth):
"""
Decorator that adds *meth* to the list of validators.
Returns *meth* unchanged.
.. versionadded:: 17.1.0
"""
if self._validator is None:
self._validator = meth
else:
self._validator = and_(self._validator, meth)
return meth | def validator(self, meth):
"""
Decorator that adds *meth* to the list of validators.
Returns *meth* unchanged.
.. versionadded:: 17.1.0
"""
if self._validator is None:
self._validator = meth
else:
self._validator = and_(self._validator, meth)
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train | _CountingAttr.default | Decorator that allows to set the default for an attribute.
Returns *meth* unchanged.
:raises DefaultAlreadySetError: If default has been set before.
.. versionadded:: 17.1.0 | pipenv/vendor/attr/_make.py | def default(self, meth):
"""
Decorator that allows to set the default for an attribute.
Returns *meth* unchanged.
:raises DefaultAlreadySetError: If default has been set before.
.. versionadded:: 17.1.0
"""
if self._default is not NOTHING:
raise DefaultAlreadySetError()
self._default = Factory(meth, takes_self=True)
return meth | def default(self, meth):
"""
Decorator that allows to set the default for an attribute.
Returns *meth* unchanged.
:raises DefaultAlreadySetError: If default has been set before.
.. versionadded:: 17.1.0
"""
if self._default is not NOTHING:
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train | _expand_args | Parses command strings and returns a Popen-ready list. | pipenv/vendor/delegator.py | def _expand_args(command):
"""Parses command strings and returns a Popen-ready list."""
# Prepare arguments.
if isinstance(command, STR_TYPES):
if sys.version_info[0] == 2:
splitter = shlex.shlex(command.encode("utf-8"))
elif sys.version_info[0] == 3:
splitter = shlex.shlex(command)
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command = []
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token = splitter.get_token()
if token:
command.append(token)
else:
break
command = list(map(shlex.split, command))
return command | def _expand_args(command):
"""Parses command strings and returns a Popen-ready list."""
# Prepare arguments.
if isinstance(command, STR_TYPES):
if sys.version_info[0] == 2:
splitter = shlex.shlex(command.encode("utf-8"))
elif sys.version_info[0] == 3:
splitter = shlex.shlex(command)
else:
splitter = shlex.shlex(command.encode("utf-8"))
splitter.whitespace = "|"
splitter.whitespace_split = True
command = []
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token = splitter.get_token()
if token:
command.append(token)
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break
command = list(map(shlex.split, command))
return command | [
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train | Command.out | Std/out output (cached) | pipenv/vendor/delegator.py | def out(self):
"""Std/out output (cached)"""
if self.__out is not None:
return self.__out
if self._uses_subprocess:
self.__out = self.std_out.read()
else:
self.__out = self._pexpect_out
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"""Std/out output (cached)"""
if self.__out is not None:
return self.__out
if self._uses_subprocess:
self.__out = self.std_out.read()
else:
self.__out = self._pexpect_out
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train | Command.expect | Waits on the given pattern to appear in std_out | pipenv/vendor/delegator.py | def expect(self, pattern, timeout=-1):
"""Waits on the given pattern to appear in std_out"""
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try:
self.subprocess.expect(pattern=pattern, timeout=timeout)
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pass | def expect(self, pattern, timeout=-1):
"""Waits on the given pattern to appear in std_out"""
if self.blocking:
raise RuntimeError("expect can only be used on non-blocking commands.")
try:
self.subprocess.expect(pattern=pattern, timeout=timeout)
except pexpect.EOF:
pass | [
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train | Command.block | Blocks until process is complete. | pipenv/vendor/delegator.py | def block(self):
"""Blocks until process is complete."""
if self._uses_subprocess:
# consume stdout and stderr
if self.blocking:
try:
stdout, stderr = self.subprocess.communicate()
self.__out = stdout
self.__err = stderr
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finally:
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"""Blocks until process is complete."""
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# consume stdout and stderr
if self.blocking:
try:
stdout, stderr = self.subprocess.communicate()
self.__out = stdout
self.__err = stderr
except ValueError:
pass # Don't read from finished subprocesses.
else:
self.subprocess.stdin.close()
self.std_out.close()
self.std_err.close()
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self.subprocess.proc.stdout.close() | [
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train | Command.pipe | Runs the current command and passes its output to the next
given process. | pipenv/vendor/delegator.py | def pipe(self, command, timeout=None, cwd=None):
"""Runs the current command and passes its output to the next
given process.
"""
if not timeout:
timeout = self.timeout
if not self.was_run:
self.run(block=False, cwd=cwd)
data = self.out
if timeout:
c = Command(command, timeout)
else:
c = Command(command)
c.run(block=False, cwd=cwd)
if data:
c.send(data)
c.block()
return c | def pipe(self, command, timeout=None, cwd=None):
"""Runs the current command and passes its output to the next
given process.
"""
if not timeout:
timeout = self.timeout
if not self.was_run:
self.run(block=False, cwd=cwd)
data = self.out
if timeout:
c = Command(command, timeout)
else:
c = Command(command)
c.run(block=False, cwd=cwd)
if data:
c.send(data)
c.block()
return c | [
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train | backport_makefile | Backport of ``socket.makefile`` from Python 3.5. | pipenv/vendor/urllib3/packages/backports/makefile.py | def backport_makefile(self, mode="r", buffering=None, encoding=None,
errors=None, newline=None):
"""
Backport of ``socket.makefile`` from Python 3.5.
"""
if not set(mode) <= {"r", "w", "b"}:
raise ValueError(
"invalid mode %r (only r, w, b allowed)" % (mode,)
)
writing = "w" in mode
reading = "r" in mode or not writing
assert reading or writing
binary = "b" in mode
rawmode = ""
if reading:
rawmode += "r"
if writing:
rawmode += "w"
raw = SocketIO(self, rawmode)
self._makefile_refs += 1
if buffering is None:
buffering = -1
if buffering < 0:
buffering = io.DEFAULT_BUFFER_SIZE
if buffering == 0:
if not binary:
raise ValueError("unbuffered streams must be binary")
return raw
if reading and writing:
buffer = io.BufferedRWPair(raw, raw, buffering)
elif reading:
buffer = io.BufferedReader(raw, buffering)
else:
assert writing
buffer = io.BufferedWriter(raw, buffering)
if binary:
return buffer
text = io.TextIOWrapper(buffer, encoding, errors, newline)
text.mode = mode
return text | def backport_makefile(self, mode="r", buffering=None, encoding=None,
errors=None, newline=None):
"""
Backport of ``socket.makefile`` from Python 3.5.
"""
if not set(mode) <= {"r", "w", "b"}:
raise ValueError(
"invalid mode %r (only r, w, b allowed)" % (mode,)
)
writing = "w" in mode
reading = "r" in mode or not writing
assert reading or writing
binary = "b" in mode
rawmode = ""
if reading:
rawmode += "r"
if writing:
rawmode += "w"
raw = SocketIO(self, rawmode)
self._makefile_refs += 1
if buffering is None:
buffering = -1
if buffering < 0:
buffering = io.DEFAULT_BUFFER_SIZE
if buffering == 0:
if not binary:
raise ValueError("unbuffered streams must be binary")
return raw
if reading and writing:
buffer = io.BufferedRWPair(raw, raw, buffering)
elif reading:
buffer = io.BufferedReader(raw, buffering)
else:
assert writing
buffer = io.BufferedWriter(raw, buffering)
if binary:
return buffer
text = io.TextIOWrapper(buffer, encoding, errors, newline)
text.mode = mode
return text | [
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train | make_traceback | Creates a processed traceback object from the exc_info. | pipenv/vendor/jinja2/debug.py | def make_traceback(exc_info, source_hint=None):
"""Creates a processed traceback object from the exc_info."""
exc_type, exc_value, tb = exc_info
if isinstance(exc_value, TemplateSyntaxError):
exc_info = translate_syntax_error(exc_value, source_hint)
initial_skip = 0
else:
initial_skip = 1
return translate_exception(exc_info, initial_skip) | def make_traceback(exc_info, source_hint=None):
"""Creates a processed traceback object from the exc_info."""
exc_type, exc_value, tb = exc_info
if isinstance(exc_value, TemplateSyntaxError):
exc_info = translate_syntax_error(exc_value, source_hint)
initial_skip = 0
else:
initial_skip = 1
return translate_exception(exc_info, initial_skip) | [
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train | translate_syntax_error | Rewrites a syntax error to please traceback systems. | pipenv/vendor/jinja2/debug.py | def translate_syntax_error(error, source=None):
"""Rewrites a syntax error to please traceback systems."""
error.source = source
error.translated = True
exc_info = (error.__class__, error, None)
filename = error.filename
if filename is None:
filename = '<unknown>'
return fake_exc_info(exc_info, filename, error.lineno) | def translate_syntax_error(error, source=None):
"""Rewrites a syntax error to please traceback systems."""
error.source = source
error.translated = True
exc_info = (error.__class__, error, None)
filename = error.filename
if filename is None:
filename = '<unknown>'
return fake_exc_info(exc_info, filename, error.lineno) | [
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train | ProcessedTraceback.render_as_text | Return a string with the traceback. | pipenv/vendor/jinja2/debug.py | def render_as_text(self, limit=None):
"""Return a string with the traceback."""
lines = traceback.format_exception(self.exc_type, self.exc_value,
self.frames[0], limit=limit)
return ''.join(lines).rstrip() | def render_as_text(self, limit=None):
"""Return a string with the traceback."""
lines = traceback.format_exception(self.exc_type, self.exc_value,
self.frames[0], limit=limit)
return ''.join(lines).rstrip() | [
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train | ProcessedTraceback.render_as_html | Return a unicode string with the traceback as rendered HTML. | pipenv/vendor/jinja2/debug.py | def render_as_html(self, full=False):
"""Return a unicode string with the traceback as rendered HTML."""
from jinja2.debugrenderer import render_traceback
return u'%s\n\n<!--\n%s\n-->' % (
render_traceback(self, full=full),
self.render_as_text().decode('utf-8', 'replace')
) | def render_as_html(self, full=False):
"""Return a unicode string with the traceback as rendered HTML."""
from jinja2.debugrenderer import render_traceback
return u'%s\n\n<!--\n%s\n-->' % (
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train | ProcessedTraceback.standard_exc_info | Standard python exc_info for re-raising | pipenv/vendor/jinja2/debug.py | def standard_exc_info(self):
"""Standard python exc_info for re-raising"""
tb = self.frames[0]
# the frame will be an actual traceback (or transparent proxy) if
# we are on pypy or a python implementation with support for tproxy
if type(tb) is not TracebackType:
tb = tb.tb
return self.exc_type, self.exc_value, tb | def standard_exc_info(self):
"""Standard python exc_info for re-raising"""
tb = self.frames[0]
# the frame will be an actual traceback (or transparent proxy) if
# we are on pypy or a python implementation with support for tproxy
if type(tb) is not TracebackType:
tb = tb.tb
return self.exc_type, self.exc_value, tb | [
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train | DYMMixin.resolve_command | Overrides clicks ``resolve_command`` method
and appends *Did you mean ...* suggestions
to the raised exception message. | pipenv/vendor/click_didyoumean/__init__.py | def resolve_command(self, ctx, args):
"""
Overrides clicks ``resolve_command`` method
and appends *Did you mean ...* suggestions
to the raised exception message.
"""
original_cmd_name = click.utils.make_str(args[0])
try:
return super(DYMMixin, self).resolve_command(ctx, args)
except click.exceptions.UsageError as error:
error_msg = str(error)
matches = difflib.get_close_matches(original_cmd_name,
self.list_commands(ctx), self.max_suggestions, self.cutoff)
if matches:
error_msg += '\n\nDid you mean one of these?\n %s' % '\n '.join(matches) # pylint: disable=line-too-long
raise click.exceptions.UsageError(error_msg, error.ctx) | def resolve_command(self, ctx, args):
"""
Overrides clicks ``resolve_command`` method
and appends *Did you mean ...* suggestions
to the raised exception message.
"""
original_cmd_name = click.utils.make_str(args[0])
try:
return super(DYMMixin, self).resolve_command(ctx, args)
except click.exceptions.UsageError as error:
error_msg = str(error)
matches = difflib.get_close_matches(original_cmd_name,
self.list_commands(ctx), self.max_suggestions, self.cutoff)
if matches:
error_msg += '\n\nDid you mean one of these?\n %s' % '\n '.join(matches) # pylint: disable=line-too-long
raise click.exceptions.UsageError(error_msg, error.ctx) | [
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train | Script.cmdify | Encode into a cmd-executable string.
This re-implements CreateProcess's quoting logic to turn a list of
arguments into one single string for the shell to interpret.
* All double quotes are escaped with a backslash.
* Existing backslashes before a quote are doubled, so they are all
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* Backslashes elsewhere are left as-is; cmd will interpret them
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The result is then quoted into a pair of double quotes to be grouped.
An argument is intentionally not quoted if it does not contain
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and DOS-style (forward slash) switches.
The intended use of this function is to pre-process an argument list
before passing it into ``subprocess.Popen(..., shell=True)``.
See also: https://docs.python.org/3/library/subprocess.html | pipenv/vendor/plette/models/scripts.py | def cmdify(self, extra_args=None):
"""Encode into a cmd-executable string.
This re-implements CreateProcess's quoting logic to turn a list of
arguments into one single string for the shell to interpret.
* All double quotes are escaped with a backslash.
* Existing backslashes before a quote are doubled, so they are all
escaped properly.
* Backslashes elsewhere are left as-is; cmd will interpret them
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The result is then quoted into a pair of double quotes to be grouped.
An argument is intentionally not quoted if it does not contain
whitespaces. This is done to be compatible with Windows built-in
commands that don't work well with quotes, e.g. everything with `echo`,
and DOS-style (forward slash) switches.
The intended use of this function is to pre-process an argument list
before passing it into ``subprocess.Popen(..., shell=True)``.
See also: https://docs.python.org/3/library/subprocess.html
"""
parts = list(self._parts)
if extra_args:
parts.extend(extra_args)
return " ".join(
arg if not next(re.finditer(r'\s', arg), None)
else '"{0}"'.format(re.sub(r'(\\*)"', r'\1\1\\"', arg))
for arg in parts
) | def cmdify(self, extra_args=None):
"""Encode into a cmd-executable string.
This re-implements CreateProcess's quoting logic to turn a list of
arguments into one single string for the shell to interpret.
* All double quotes are escaped with a backslash.
* Existing backslashes before a quote are doubled, so they are all
escaped properly.
* Backslashes elsewhere are left as-is; cmd will interpret them
literally.
The result is then quoted into a pair of double quotes to be grouped.
An argument is intentionally not quoted if it does not contain
whitespaces. This is done to be compatible with Windows built-in
commands that don't work well with quotes, e.g. everything with `echo`,
and DOS-style (forward slash) switches.
The intended use of this function is to pre-process an argument list
before passing it into ``subprocess.Popen(..., shell=True)``.
See also: https://docs.python.org/3/library/subprocess.html
"""
parts = list(self._parts)
if extra_args:
parts.extend(extra_args)
return " ".join(
arg if not next(re.finditer(r'\s', arg), None)
else '"{0}"'.format(re.sub(r'(\\*)"', r'\1\1\\"', arg))
for arg in parts
) | [
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train | make_abstract_dist | Factory to make an abstract dist object.
Preconditions: Either an editable req with a source_dir, or satisfied_by or
a wheel link, or a non-editable req with a source_dir.
:return: A concrete DistAbstraction. | pipenv/patched/notpip/_internal/operations/prepare.py | def make_abstract_dist(req):
# type: (InstallRequirement) -> DistAbstraction
"""Factory to make an abstract dist object.
Preconditions: Either an editable req with a source_dir, or satisfied_by or
a wheel link, or a non-editable req with a source_dir.
:return: A concrete DistAbstraction.
"""
if req.editable:
return IsSDist(req)
elif req.link and req.link.is_wheel:
return IsWheel(req)
else:
return IsSDist(req) | def make_abstract_dist(req):
# type: (InstallRequirement) -> DistAbstraction
"""Factory to make an abstract dist object.
Preconditions: Either an editable req with a source_dir, or satisfied_by or
a wheel link, or a non-editable req with a source_dir.
:return: A concrete DistAbstraction.
"""
if req.editable:
return IsSDist(req)
elif req.link and req.link.is_wheel:
return IsWheel(req)
else:
return IsSDist(req) | [
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] | pypa/pipenv | python | https://github.com/pypa/pipenv/blob/cae8d76c210b9777e90aab76e9c4b0e53bb19cde/pipenv/patched/notpip/_internal/operations/prepare.py#L34-L48 | [
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"return"... | cae8d76c210b9777e90aab76e9c4b0e53bb19cde |
train | RequirementPreparer.prepare_linked_requirement | Prepare a requirement that would be obtained from req.link | pipenv/patched/notpip/_internal/operations/prepare.py | def prepare_linked_requirement(
self,
req, # type: InstallRequirement
session, # type: PipSession
finder, # type: PackageFinder
upgrade_allowed, # type: bool
require_hashes # type: bool
):
# type: (...) -> DistAbstraction
"""Prepare a requirement that would be obtained from req.link
"""
# TODO: Breakup into smaller functions
if req.link and req.link.scheme == 'file':
path = url_to_path(req.link.url)
logger.info('Processing %s', display_path(path))
else:
logger.info('Collecting %s', req)
with indent_log():
# @@ if filesystem packages are not marked
# editable in a req, a non deterministic error
# occurs when the script attempts to unpack the
# build directory
req.ensure_has_source_dir(self.build_dir)
# If a checkout exists, it's unwise to keep going. version
# inconsistencies are logged later, but do not fail the
# installation.
# FIXME: this won't upgrade when there's an existing
# package unpacked in `req.source_dir`
# package unpacked in `req.source_dir`
if os.path.exists(os.path.join(req.source_dir, 'setup.py')):
rmtree(req.source_dir)
req.populate_link(finder, upgrade_allowed, require_hashes)
# We can't hit this spot and have populate_link return None.
# req.satisfied_by is None here (because we're
# guarded) and upgrade has no impact except when satisfied_by
# is not None.
# Then inside find_requirement existing_applicable -> False
# If no new versions are found, DistributionNotFound is raised,
# otherwise a result is guaranteed.
assert req.link
link = req.link
# Now that we have the real link, we can tell what kind of
# requirements we have and raise some more informative errors
# than otherwise. (For example, we can raise VcsHashUnsupported
# for a VCS URL rather than HashMissing.)
if require_hashes:
# We could check these first 2 conditions inside
# unpack_url and save repetition of conditions, but then
# we would report less-useful error messages for
# unhashable requirements, complaining that there's no
# hash provided.
if is_vcs_url(link):
raise VcsHashUnsupported()
elif is_file_url(link) and is_dir_url(link):
raise DirectoryUrlHashUnsupported()
if not req.original_link and not req.is_pinned:
# Unpinned packages are asking for trouble when a new
# version is uploaded. This isn't a security check, but
# it saves users a surprising hash mismatch in the
# future.
#
# file:/// URLs aren't pinnable, so don't complain
# about them not being pinned.
raise HashUnpinned()
hashes = req.hashes(trust_internet=not require_hashes)
if require_hashes and not hashes:
# Known-good hashes are missing for this requirement, so
# shim it with a facade object that will provoke hash
# computation and then raise a HashMissing exception
# showing the user what the hash should be.
hashes = MissingHashes()
try:
download_dir = self.download_dir
# We always delete unpacked sdists after pip ran.
autodelete_unpacked = True
if req.link.is_wheel and self.wheel_download_dir:
# when doing 'pip wheel` we download wheels to a
# dedicated dir.
download_dir = self.wheel_download_dir
if req.link.is_wheel:
if download_dir:
# When downloading, we only unpack wheels to get
# metadata.
autodelete_unpacked = True
else:
# When installing a wheel, we use the unpacked
# wheel.
autodelete_unpacked = False
unpack_url(
req.link, req.source_dir,
download_dir, autodelete_unpacked,
session=session, hashes=hashes,
progress_bar=self.progress_bar
)
except requests.HTTPError as exc:
logger.critical(
'Could not install requirement %s because of error %s',
req,
exc,
)
raise InstallationError(
'Could not install requirement %s because of HTTP '
'error %s for URL %s' %
(req, exc, req.link)
)
abstract_dist = make_abstract_dist(req)
with self.req_tracker.track(req):
abstract_dist.prep_for_dist(finder, self.build_isolation)
if self._download_should_save:
# Make a .zip of the source_dir we already created.
if req.link.scheme in vcs.all_schemes:
req.archive(self.download_dir)
return abstract_dist | def prepare_linked_requirement(
self,
req, # type: InstallRequirement
session, # type: PipSession
finder, # type: PackageFinder
upgrade_allowed, # type: bool
require_hashes # type: bool
):
# type: (...) -> DistAbstraction
"""Prepare a requirement that would be obtained from req.link
"""
# TODO: Breakup into smaller functions
if req.link and req.link.scheme == 'file':
path = url_to_path(req.link.url)
logger.info('Processing %s', display_path(path))
else:
logger.info('Collecting %s', req)
with indent_log():
# @@ if filesystem packages are not marked
# editable in a req, a non deterministic error
# occurs when the script attempts to unpack the
# build directory
req.ensure_has_source_dir(self.build_dir)
# If a checkout exists, it's unwise to keep going. version
# inconsistencies are logged later, but do not fail the
# installation.
# FIXME: this won't upgrade when there's an existing
# package unpacked in `req.source_dir`
# package unpacked in `req.source_dir`
if os.path.exists(os.path.join(req.source_dir, 'setup.py')):
rmtree(req.source_dir)
req.populate_link(finder, upgrade_allowed, require_hashes)
# We can't hit this spot and have populate_link return None.
# req.satisfied_by is None here (because we're
# guarded) and upgrade has no impact except when satisfied_by
# is not None.
# Then inside find_requirement existing_applicable -> False
# If no new versions are found, DistributionNotFound is raised,
# otherwise a result is guaranteed.
assert req.link
link = req.link
# Now that we have the real link, we can tell what kind of
# requirements we have and raise some more informative errors
# than otherwise. (For example, we can raise VcsHashUnsupported
# for a VCS URL rather than HashMissing.)
if require_hashes:
# We could check these first 2 conditions inside
# unpack_url and save repetition of conditions, but then
# we would report less-useful error messages for
# unhashable requirements, complaining that there's no
# hash provided.
if is_vcs_url(link):
raise VcsHashUnsupported()
elif is_file_url(link) and is_dir_url(link):
raise DirectoryUrlHashUnsupported()
if not req.original_link and not req.is_pinned:
# Unpinned packages are asking for trouble when a new
# version is uploaded. This isn't a security check, but
# it saves users a surprising hash mismatch in the
# future.
#
# file:/// URLs aren't pinnable, so don't complain
# about them not being pinned.
raise HashUnpinned()
hashes = req.hashes(trust_internet=not require_hashes)
if require_hashes and not hashes:
# Known-good hashes are missing for this requirement, so
# shim it with a facade object that will provoke hash
# computation and then raise a HashMissing exception
# showing the user what the hash should be.
hashes = MissingHashes()
try:
download_dir = self.download_dir
# We always delete unpacked sdists after pip ran.
autodelete_unpacked = True
if req.link.is_wheel and self.wheel_download_dir:
# when doing 'pip wheel` we download wheels to a
# dedicated dir.
download_dir = self.wheel_download_dir
if req.link.is_wheel:
if download_dir:
# When downloading, we only unpack wheels to get
# metadata.
autodelete_unpacked = True
else:
# When installing a wheel, we use the unpacked
# wheel.
autodelete_unpacked = False
unpack_url(
req.link, req.source_dir,
download_dir, autodelete_unpacked,
session=session, hashes=hashes,
progress_bar=self.progress_bar
)
except requests.HTTPError as exc:
logger.critical(
'Could not install requirement %s because of error %s',
req,
exc,
)
raise InstallationError(
'Could not install requirement %s because of HTTP '
'error %s for URL %s' %
(req, exc, req.link)
)
abstract_dist = make_abstract_dist(req)
with self.req_tracker.track(req):
abstract_dist.prep_for_dist(finder, self.build_isolation)
if self._download_should_save:
# Make a .zip of the source_dir we already created.
if req.link.scheme in vcs.all_schemes:
req.archive(self.download_dir)
return abstract_dist | [
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"a",
"requirement",
"that",
"would",
"be",
"obtained",
"from",
"req",
".",
"link"
] | pypa/pipenv | python | https://github.com/pypa/pipenv/blob/cae8d76c210b9777e90aab76e9c4b0e53bb19cde/pipenv/patched/notpip/_internal/operations/prepare.py#L230-L347 | [
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train | RequirementPreparer.prepare_editable_requirement | Prepare an editable requirement | pipenv/patched/notpip/_internal/operations/prepare.py | def prepare_editable_requirement(
self,
req, # type: InstallRequirement
require_hashes, # type: bool
use_user_site, # type: bool
finder # type: PackageFinder
):
# type: (...) -> DistAbstraction
"""Prepare an editable requirement
"""
assert req.editable, "cannot prepare a non-editable req as editable"
logger.info('Obtaining %s', req)
with indent_log():
if require_hashes:
raise InstallationError(
'The editable requirement %s cannot be installed when '
'requiring hashes, because there is no single file to '
'hash.' % req
)
req.ensure_has_source_dir(self.src_dir)
req.update_editable(not self._download_should_save)
abstract_dist = make_abstract_dist(req)
with self.req_tracker.track(req):
abstract_dist.prep_for_dist(finder, self.build_isolation)
if self._download_should_save:
req.archive(self.download_dir)
req.check_if_exists(use_user_site)
return abstract_dist | def prepare_editable_requirement(
self,
req, # type: InstallRequirement
require_hashes, # type: bool
use_user_site, # type: bool
finder # type: PackageFinder
):
# type: (...) -> DistAbstraction
"""Prepare an editable requirement
"""
assert req.editable, "cannot prepare a non-editable req as editable"
logger.info('Obtaining %s', req)
with indent_log():
if require_hashes:
raise InstallationError(
'The editable requirement %s cannot be installed when '
'requiring hashes, because there is no single file to '
'hash.' % req
)
req.ensure_has_source_dir(self.src_dir)
req.update_editable(not self._download_should_save)
abstract_dist = make_abstract_dist(req)
with self.req_tracker.track(req):
abstract_dist.prep_for_dist(finder, self.build_isolation)
if self._download_should_save:
req.archive(self.download_dir)
req.check_if_exists(use_user_site)
return abstract_dist | [
"Prepare",
"an",
"editable",
"requirement"
] | pypa/pipenv | python | https://github.com/pypa/pipenv/blob/cae8d76c210b9777e90aab76e9c4b0e53bb19cde/pipenv/patched/notpip/_internal/operations/prepare.py#L349-L381 | [
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")",
":",
"# type: (...) -> DistAbstraction",
"assert",
"req",
... | cae8d76c210b9777e90aab76e9c4b0e53bb19cde |
train | RequirementPreparer.prepare_installed_requirement | Prepare an already-installed requirement | pipenv/patched/notpip/_internal/operations/prepare.py | def prepare_installed_requirement(self, req, require_hashes, skip_reason):
# type: (InstallRequirement, bool, Optional[str]) -> DistAbstraction
"""Prepare an already-installed requirement
"""
assert req.satisfied_by, "req should have been satisfied but isn't"
assert skip_reason is not None, (
"did not get skip reason skipped but req.satisfied_by "
"is set to %r" % (req.satisfied_by,)
)
logger.info(
'Requirement %s: %s (%s)',
skip_reason, req, req.satisfied_by.version
)
with indent_log():
if require_hashes:
logger.debug(
'Since it is already installed, we are trusting this '
'package without checking its hash. To ensure a '
'completely repeatable environment, install into an '
'empty virtualenv.'
)
abstract_dist = Installed(req)
return abstract_dist | def prepare_installed_requirement(self, req, require_hashes, skip_reason):
# type: (InstallRequirement, bool, Optional[str]) -> DistAbstraction
"""Prepare an already-installed requirement
"""
assert req.satisfied_by, "req should have been satisfied but isn't"
assert skip_reason is not None, (
"did not get skip reason skipped but req.satisfied_by "
"is set to %r" % (req.satisfied_by,)
)
logger.info(
'Requirement %s: %s (%s)',
skip_reason, req, req.satisfied_by.version
)
with indent_log():
if require_hashes:
logger.debug(
'Since it is already installed, we are trusting this '
'package without checking its hash. To ensure a '
'completely repeatable environment, install into an '
'empty virtualenv.'
)
abstract_dist = Installed(req)
return abstract_dist | [
"Prepare",
"an",
"already",
"-",
"installed",
"requirement"
] | pypa/pipenv | python | https://github.com/pypa/pipenv/blob/cae8d76c210b9777e90aab76e9c4b0e53bb19cde/pipenv/patched/notpip/_internal/operations/prepare.py#L383-L406 | [
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train | install_given_reqs | Install everything in the given list.
(to be called after having downloaded and unpacked the packages) | pipenv/patched/notpip/_internal/req/__init__.py | def install_given_reqs(
to_install, # type: List[InstallRequirement]
install_options, # type: List[str]
global_options=(), # type: Sequence[str]
*args, **kwargs
):
# type: (...) -> List[InstallRequirement]
"""
Install everything in the given list.
(to be called after having downloaded and unpacked the packages)
"""
if to_install:
logger.info(
'Installing collected packages: %s',
', '.join([req.name for req in to_install]),
)
with indent_log():
for requirement in to_install:
if requirement.conflicts_with:
logger.info(
'Found existing installation: %s',
requirement.conflicts_with,
)
with indent_log():
uninstalled_pathset = requirement.uninstall(
auto_confirm=True
)
try:
requirement.install(
install_options,
global_options,
*args,
**kwargs
)
except Exception:
should_rollback = (
requirement.conflicts_with and
not requirement.install_succeeded
)
# if install did not succeed, rollback previous uninstall
if should_rollback:
uninstalled_pathset.rollback()
raise
else:
should_commit = (
requirement.conflicts_with and
requirement.install_succeeded
)
if should_commit:
uninstalled_pathset.commit()
requirement.remove_temporary_source()
return to_install | def install_given_reqs(
to_install, # type: List[InstallRequirement]
install_options, # type: List[str]
global_options=(), # type: Sequence[str]
*args, **kwargs
):
# type: (...) -> List[InstallRequirement]
"""
Install everything in the given list.
(to be called after having downloaded and unpacked the packages)
"""
if to_install:
logger.info(
'Installing collected packages: %s',
', '.join([req.name for req in to_install]),
)
with indent_log():
for requirement in to_install:
if requirement.conflicts_with:
logger.info(
'Found existing installation: %s',
requirement.conflicts_with,
)
with indent_log():
uninstalled_pathset = requirement.uninstall(
auto_confirm=True
)
try:
requirement.install(
install_options,
global_options,
*args,
**kwargs
)
except Exception:
should_rollback = (
requirement.conflicts_with and
not requirement.install_succeeded
)
# if install did not succeed, rollback previous uninstall
if should_rollback:
uninstalled_pathset.rollback()
raise
else:
should_commit = (
requirement.conflicts_with and
requirement.install_succeeded
)
if should_commit:
uninstalled_pathset.commit()
requirement.remove_temporary_source()
return to_install | [
"Install",
"everything",
"in",
"the",
"given",
"list",
"."
] | pypa/pipenv | python | https://github.com/pypa/pipenv/blob/cae8d76c210b9777e90aab76e9c4b0e53bb19cde/pipenv/patched/notpip/_internal/req/__init__.py#L22-L77 | [
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train | cprint | Print colorize text.
It accepts arguments of print function. | pipenv/vendor/yaspin/termcolor.py | def cprint(text, color=None, on_color=None, attrs=None, **kwargs):
"""Print colorize text.
It accepts arguments of print function.
"""
print((colored(text, color, on_color, attrs)), **kwargs) | def cprint(text, color=None, on_color=None, attrs=None, **kwargs):
"""Print colorize text.
It accepts arguments of print function.
"""
print((colored(text, color, on_color, attrs)), **kwargs) | [
"Print",
"colorize",
"text",
"."
] | pypa/pipenv | python | https://github.com/pypa/pipenv/blob/cae8d76c210b9777e90aab76e9c4b0e53bb19cde/pipenv/vendor/yaspin/termcolor.py#L118-L124 | [
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",",
"attrs",
")",
")",... | cae8d76c210b9777e90aab76e9c4b0e53bb19cde |
train | get_provider | Return an IResourceProvider for the named module or requirement | pipenv/patched/notpip/_vendor/pkg_resources/__init__.py | def get_provider(moduleOrReq):
"""Return an IResourceProvider for the named module or requirement"""
if isinstance(moduleOrReq, Requirement):
return working_set.find(moduleOrReq) or require(str(moduleOrReq))[0]
try:
module = sys.modules[moduleOrReq]
except KeyError:
__import__(moduleOrReq)
module = sys.modules[moduleOrReq]
loader = getattr(module, '__loader__', None)
return _find_adapter(_provider_factories, loader)(module) | def get_provider(moduleOrReq):
"""Return an IResourceProvider for the named module or requirement"""
if isinstance(moduleOrReq, Requirement):
return working_set.find(moduleOrReq) or require(str(moduleOrReq))[0]
try:
module = sys.modules[moduleOrReq]
except KeyError:
__import__(moduleOrReq)
module = sys.modules[moduleOrReq]
loader = getattr(module, '__loader__', None)
return _find_adapter(_provider_factories, loader)(module) | [
"Return",
"an",
"IResourceProvider",
"for",
"the",
"named",
"module",
"or",
"requirement"
] | pypa/pipenv | python | https://github.com/pypa/pipenv/blob/cae8d76c210b9777e90aab76e9c4b0e53bb19cde/pipenv/patched/notpip/_vendor/pkg_resources/__init__.py#L352-L362 | [
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"(",
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")",
")",
"[",
"0",
... | cae8d76c210b9777e90aab76e9c4b0e53bb19cde |
train | get_build_platform | Return this platform's string for platform-specific distributions
XXX Currently this is the same as ``distutils.util.get_platform()``, but it
needs some hacks for Linux and Mac OS X. | pipenv/patched/notpip/_vendor/pkg_resources/__init__.py | def get_build_platform():
"""Return this platform's string for platform-specific distributions
XXX Currently this is the same as ``distutils.util.get_platform()``, but it
needs some hacks for Linux and Mac OS X.
"""
from sysconfig import get_platform
plat = get_platform()
if sys.platform == "darwin" and not plat.startswith('macosx-'):
try:
version = _macosx_vers()
machine = os.uname()[4].replace(" ", "_")
return "macosx-%d.%d-%s" % (
int(version[0]), int(version[1]),
_macosx_arch(machine),
)
except ValueError:
# if someone is running a non-Mac darwin system, this will fall
# through to the default implementation
pass
return plat | def get_build_platform():
"""Return this platform's string for platform-specific distributions
XXX Currently this is the same as ``distutils.util.get_platform()``, but it
needs some hacks for Linux and Mac OS X.
"""
from sysconfig import get_platform
plat = get_platform()
if sys.platform == "darwin" and not plat.startswith('macosx-'):
try:
version = _macosx_vers()
machine = os.uname()[4].replace(" ", "_")
return "macosx-%d.%d-%s" % (
int(version[0]), int(version[1]),
_macosx_arch(machine),
)
except ValueError:
# if someone is running a non-Mac darwin system, this will fall
# through to the default implementation
pass
return plat | [
"Return",
"this",
"platform",
"s",
"string",
"for",
"platform",
"-",
"specific",
"distributions"
] | pypa/pipenv | python | https://github.com/pypa/pipenv/blob/cae8d76c210b9777e90aab76e9c4b0e53bb19cde/pipenv/patched/notpip/_vendor/pkg_resources/__init__.py#L385-L406 | [
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"(",
"'macosx-'",
")",
":",
"try",
... | cae8d76c210b9777e90aab76e9c4b0e53bb19cde |
train | compatible_platforms | Can code for the `provided` platform run on the `required` platform?
Returns true if either platform is ``None``, or the platforms are equal.
XXX Needs compatibility checks for Linux and other unixy OSes. | pipenv/patched/notpip/_vendor/pkg_resources/__init__.py | def compatible_platforms(provided, required):
"""Can code for the `provided` platform run on the `required` platform?
Returns true if either platform is ``None``, or the platforms are equal.
XXX Needs compatibility checks for Linux and other unixy OSes.
"""
if provided is None or required is None or provided == required:
# easy case
return True
# Mac OS X special cases
reqMac = macosVersionString.match(required)
if reqMac:
provMac = macosVersionString.match(provided)
# is this a Mac package?
if not provMac:
# this is backwards compatibility for packages built before
# setuptools 0.6. All packages built after this point will
# use the new macosx designation.
provDarwin = darwinVersionString.match(provided)
if provDarwin:
dversion = int(provDarwin.group(1))
macosversion = "%s.%s" % (reqMac.group(1), reqMac.group(2))
if dversion == 7 and macosversion >= "10.3" or \
dversion == 8 and macosversion >= "10.4":
return True
# egg isn't macosx or legacy darwin
return False
# are they the same major version and machine type?
if provMac.group(1) != reqMac.group(1) or \
provMac.group(3) != reqMac.group(3):
return False
# is the required OS major update >= the provided one?
if int(provMac.group(2)) > int(reqMac.group(2)):
return False
return True
# XXX Linux and other platforms' special cases should go here
return False | def compatible_platforms(provided, required):
"""Can code for the `provided` platform run on the `required` platform?
Returns true if either platform is ``None``, or the platforms are equal.
XXX Needs compatibility checks for Linux and other unixy OSes.
"""
if provided is None or required is None or provided == required:
# easy case
return True
# Mac OS X special cases
reqMac = macosVersionString.match(required)
if reqMac:
provMac = macosVersionString.match(provided)
# is this a Mac package?
if not provMac:
# this is backwards compatibility for packages built before
# setuptools 0.6. All packages built after this point will
# use the new macosx designation.
provDarwin = darwinVersionString.match(provided)
if provDarwin:
dversion = int(provDarwin.group(1))
macosversion = "%s.%s" % (reqMac.group(1), reqMac.group(2))
if dversion == 7 and macosversion >= "10.3" or \
dversion == 8 and macosversion >= "10.4":
return True
# egg isn't macosx or legacy darwin
return False
# are they the same major version and machine type?
if provMac.group(1) != reqMac.group(1) or \
provMac.group(3) != reqMac.group(3):
return False
# is the required OS major update >= the provided one?
if int(provMac.group(2)) > int(reqMac.group(2)):
return False
return True
# XXX Linux and other platforms' special cases should go here
return False | [
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train | run_script | Locate distribution `dist_spec` and run its `script_name` script | pipenv/patched/notpip/_vendor/pkg_resources/__init__.py | def run_script(dist_spec, script_name):
"""Locate distribution `dist_spec` and run its `script_name` script"""
ns = sys._getframe(1).f_globals
name = ns['__name__']
ns.clear()
ns['__name__'] = name
require(dist_spec)[0].run_script(script_name, ns) | def run_script(dist_spec, script_name):
"""Locate distribution `dist_spec` and run its `script_name` script"""
ns = sys._getframe(1).f_globals
name = ns['__name__']
ns.clear()
ns['__name__'] = name
require(dist_spec)[0].run_script(script_name, ns) | [
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train | get_distribution | Return a current distribution object for a Requirement or string | pipenv/patched/notpip/_vendor/pkg_resources/__init__.py | def get_distribution(dist):
"""Return a current distribution object for a Requirement or string"""
if isinstance(dist, six.string_types):
dist = Requirement.parse(dist)
if isinstance(dist, Requirement):
dist = get_provider(dist)
if not isinstance(dist, Distribution):
raise TypeError("Expected string, Requirement, or Distribution", dist)
return dist | def get_distribution(dist):
"""Return a current distribution object for a Requirement or string"""
if isinstance(dist, six.string_types):
dist = Requirement.parse(dist)
if isinstance(dist, Requirement):
dist = get_provider(dist)
if not isinstance(dist, Distribution):
raise TypeError("Expected string, Requirement, or Distribution", dist)
return dist | [
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train | safe_version | Convert an arbitrary string to a standard version string | pipenv/patched/notpip/_vendor/pkg_resources/__init__.py | def safe_version(version):
"""
Convert an arbitrary string to a standard version string
"""
try:
# normalize the version
return str(packaging.version.Version(version))
except packaging.version.InvalidVersion:
version = version.replace(' ', '.')
return re.sub('[^A-Za-z0-9.]+', '-', version) | def safe_version(version):
"""
Convert an arbitrary string to a standard version string
"""
try:
# normalize the version
return str(packaging.version.Version(version))
except packaging.version.InvalidVersion:
version = version.replace(' ', '.')
return re.sub('[^A-Za-z0-9.]+', '-', version) | [
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train | invalid_marker | Validate text as a PEP 508 environment marker; return an exception
if invalid or False otherwise. | pipenv/patched/notpip/_vendor/pkg_resources/__init__.py | def invalid_marker(text):
"""
Validate text as a PEP 508 environment marker; return an exception
if invalid or False otherwise.
"""
try:
evaluate_marker(text)
except SyntaxError as e:
e.filename = None
e.lineno = None
return e
return False | def invalid_marker(text):
"""
Validate text as a PEP 508 environment marker; return an exception
if invalid or False otherwise.
"""
try:
evaluate_marker(text)
except SyntaxError as e:
e.filename = None
e.lineno = None
return e
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train | evaluate_marker | Evaluate a PEP 508 environment marker.
Return a boolean indicating the marker result in this environment.
Raise SyntaxError if marker is invalid.
This implementation uses the 'pyparsing' module. | pipenv/patched/notpip/_vendor/pkg_resources/__init__.py | def evaluate_marker(text, extra=None):
"""
Evaluate a PEP 508 environment marker.
Return a boolean indicating the marker result in this environment.
Raise SyntaxError if marker is invalid.
This implementation uses the 'pyparsing' module.
"""
try:
marker = packaging.markers.Marker(text)
return marker.evaluate()
except packaging.markers.InvalidMarker as e:
raise SyntaxError(e) | def evaluate_marker(text, extra=None):
"""
Evaluate a PEP 508 environment marker.
Return a boolean indicating the marker result in this environment.
Raise SyntaxError if marker is invalid.
This implementation uses the 'pyparsing' module.
"""
try:
marker = packaging.markers.Marker(text)
return marker.evaluate()
except packaging.markers.InvalidMarker as e:
raise SyntaxError(e) | [
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train | find_distributions | Yield distributions accessible via `path_item` | pipenv/patched/notpip/_vendor/pkg_resources/__init__.py | def find_distributions(path_item, only=False):
"""Yield distributions accessible via `path_item`"""
importer = get_importer(path_item)
finder = _find_adapter(_distribution_finders, importer)
return finder(importer, path_item, only) | def find_distributions(path_item, only=False):
"""Yield distributions accessible via `path_item`"""
importer = get_importer(path_item)
finder = _find_adapter(_distribution_finders, importer)
return finder(importer, path_item, only) | [
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train | find_eggs_in_zip | Find eggs in zip files; possibly multiple nested eggs. | pipenv/patched/notpip/_vendor/pkg_resources/__init__.py | def find_eggs_in_zip(importer, path_item, only=False):
"""
Find eggs in zip files; possibly multiple nested eggs.
"""
if importer.archive.endswith('.whl'):
# wheels are not supported with this finder
# they don't have PKG-INFO metadata, and won't ever contain eggs
return
metadata = EggMetadata(importer)
if metadata.has_metadata('PKG-INFO'):
yield Distribution.from_filename(path_item, metadata=metadata)
if only:
# don't yield nested distros
return
for subitem in metadata.resource_listdir('/'):
if _is_egg_path(subitem):
subpath = os.path.join(path_item, subitem)
dists = find_eggs_in_zip(zipimport.zipimporter(subpath), subpath)
for dist in dists:
yield dist
elif subitem.lower().endswith('.dist-info'):
subpath = os.path.join(path_item, subitem)
submeta = EggMetadata(zipimport.zipimporter(subpath))
submeta.egg_info = subpath
yield Distribution.from_location(path_item, subitem, submeta) | def find_eggs_in_zip(importer, path_item, only=False):
"""
Find eggs in zip files; possibly multiple nested eggs.
"""
if importer.archive.endswith('.whl'):
# wheels are not supported with this finder
# they don't have PKG-INFO metadata, and won't ever contain eggs
return
metadata = EggMetadata(importer)
if metadata.has_metadata('PKG-INFO'):
yield Distribution.from_filename(path_item, metadata=metadata)
if only:
# don't yield nested distros
return
for subitem in metadata.resource_listdir('/'):
if _is_egg_path(subitem):
subpath = os.path.join(path_item, subitem)
dists = find_eggs_in_zip(zipimport.zipimporter(subpath), subpath)
for dist in dists:
yield dist
elif subitem.lower().endswith('.dist-info'):
subpath = os.path.join(path_item, subitem)
submeta = EggMetadata(zipimport.zipimporter(subpath))
submeta.egg_info = subpath
yield Distribution.from_location(path_item, subitem, submeta) | [
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train | _by_version_descending | Given a list of filenames, return them in descending order
by version number.
>>> names = 'bar', 'foo', 'Python-2.7.10.egg', 'Python-2.7.2.egg'
>>> _by_version_descending(names)
['Python-2.7.10.egg', 'Python-2.7.2.egg', 'foo', 'bar']
>>> names = 'Setuptools-1.2.3b1.egg', 'Setuptools-1.2.3.egg'
>>> _by_version_descending(names)
['Setuptools-1.2.3.egg', 'Setuptools-1.2.3b1.egg']
>>> names = 'Setuptools-1.2.3b1.egg', 'Setuptools-1.2.3.post1.egg'
>>> _by_version_descending(names)
['Setuptools-1.2.3.post1.egg', 'Setuptools-1.2.3b1.egg'] | pipenv/patched/notpip/_vendor/pkg_resources/__init__.py | def _by_version_descending(names):
"""
Given a list of filenames, return them in descending order
by version number.
>>> names = 'bar', 'foo', 'Python-2.7.10.egg', 'Python-2.7.2.egg'
>>> _by_version_descending(names)
['Python-2.7.10.egg', 'Python-2.7.2.egg', 'foo', 'bar']
>>> names = 'Setuptools-1.2.3b1.egg', 'Setuptools-1.2.3.egg'
>>> _by_version_descending(names)
['Setuptools-1.2.3.egg', 'Setuptools-1.2.3b1.egg']
>>> names = 'Setuptools-1.2.3b1.egg', 'Setuptools-1.2.3.post1.egg'
>>> _by_version_descending(names)
['Setuptools-1.2.3.post1.egg', 'Setuptools-1.2.3b1.egg']
"""
def _by_version(name):
"""
Parse each component of the filename
"""
name, ext = os.path.splitext(name)
parts = itertools.chain(name.split('-'), [ext])
return [packaging.version.parse(part) for part in parts]
return sorted(names, key=_by_version, reverse=True) | def _by_version_descending(names):
"""
Given a list of filenames, return them in descending order
by version number.
>>> names = 'bar', 'foo', 'Python-2.7.10.egg', 'Python-2.7.2.egg'
>>> _by_version_descending(names)
['Python-2.7.10.egg', 'Python-2.7.2.egg', 'foo', 'bar']
>>> names = 'Setuptools-1.2.3b1.egg', 'Setuptools-1.2.3.egg'
>>> _by_version_descending(names)
['Setuptools-1.2.3.egg', 'Setuptools-1.2.3b1.egg']
>>> names = 'Setuptools-1.2.3b1.egg', 'Setuptools-1.2.3.post1.egg'
>>> _by_version_descending(names)
['Setuptools-1.2.3.post1.egg', 'Setuptools-1.2.3b1.egg']
"""
def _by_version(name):
"""
Parse each component of the filename
"""
name, ext = os.path.splitext(name)
parts = itertools.chain(name.split('-'), [ext])
return [packaging.version.parse(part) for part in parts]
return sorted(names, key=_by_version, reverse=True) | [
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train | find_on_path | Yield distributions accessible on a sys.path directory | pipenv/patched/notpip/_vendor/pkg_resources/__init__.py | def find_on_path(importer, path_item, only=False):
"""Yield distributions accessible on a sys.path directory"""
path_item = _normalize_cached(path_item)
if _is_unpacked_egg(path_item):
yield Distribution.from_filename(
path_item, metadata=PathMetadata(
path_item, os.path.join(path_item, 'EGG-INFO')
)
)
return
entries = safe_listdir(path_item)
# for performance, before sorting by version,
# screen entries for only those that will yield
# distributions
filtered = (
entry
for entry in entries
if dist_factory(path_item, entry, only)
)
# scan for .egg and .egg-info in directory
path_item_entries = _by_version_descending(filtered)
for entry in path_item_entries:
fullpath = os.path.join(path_item, entry)
factory = dist_factory(path_item, entry, only)
for dist in factory(fullpath):
yield dist | def find_on_path(importer, path_item, only=False):
"""Yield distributions accessible on a sys.path directory"""
path_item = _normalize_cached(path_item)
if _is_unpacked_egg(path_item):
yield Distribution.from_filename(
path_item, metadata=PathMetadata(
path_item, os.path.join(path_item, 'EGG-INFO')
)
)
return
entries = safe_listdir(path_item)
# for performance, before sorting by version,
# screen entries for only those that will yield
# distributions
filtered = (
entry
for entry in entries
if dist_factory(path_item, entry, only)
)
# scan for .egg and .egg-info in directory
path_item_entries = _by_version_descending(filtered)
for entry in path_item_entries:
fullpath = os.path.join(path_item, entry)
factory = dist_factory(path_item, entry, only)
for dist in factory(fullpath):
yield dist | [
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] | pypa/pipenv | python | https://github.com/pypa/pipenv/blob/cae8d76c210b9777e90aab76e9c4b0e53bb19cde/pipenv/patched/notpip/_vendor/pkg_resources/__init__.py#L1940-L1969 | [
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train | dist_factory | Return a dist_factory for a path_item and entry | pipenv/patched/notpip/_vendor/pkg_resources/__init__.py | def dist_factory(path_item, entry, only):
"""
Return a dist_factory for a path_item and entry
"""
lower = entry.lower()
is_meta = any(map(lower.endswith, ('.egg-info', '.dist-info')))
return (
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if is_meta else
find_distributions
if not only and _is_egg_path(entry) else
resolve_egg_link
if not only and lower.endswith('.egg-link') else
NoDists()
) | def dist_factory(path_item, entry, only):
"""
Return a dist_factory for a path_item and entry
"""
lower = entry.lower()
is_meta = any(map(lower.endswith, ('.egg-info', '.dist-info')))
return (
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if is_meta else
find_distributions
if not only and _is_egg_path(entry) else
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if not only and lower.endswith('.egg-link') else
NoDists()
) | [
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] | pypa/pipenv | python | https://github.com/pypa/pipenv/blob/cae8d76c210b9777e90aab76e9c4b0e53bb19cde/pipenv/patched/notpip/_vendor/pkg_resources/__init__.py#L1972-L1986 | [
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train | safe_listdir | Attempt to list contents of path, but suppress some exceptions. | pipenv/patched/notpip/_vendor/pkg_resources/__init__.py | def safe_listdir(path):
"""
Attempt to list contents of path, but suppress some exceptions.
"""
try:
return os.listdir(path)
except (PermissionError, NotADirectoryError):
pass
except OSError as e:
# Ignore the directory if does not exist, not a directory or
# permission denied
ignorable = (
e.errno in (errno.ENOTDIR, errno.EACCES, errno.ENOENT)
# Python 2 on Windows needs to be handled this way :(
or getattr(e, "winerror", None) == 267
)
if not ignorable:
raise
return () | def safe_listdir(path):
"""
Attempt to list contents of path, but suppress some exceptions.
"""
try:
return os.listdir(path)
except (PermissionError, NotADirectoryError):
pass
except OSError as e:
# Ignore the directory if does not exist, not a directory or
# permission denied
ignorable = (
e.errno in (errno.ENOTDIR, errno.EACCES, errno.ENOENT)
# Python 2 on Windows needs to be handled this way :(
or getattr(e, "winerror", None) == 267
)
if not ignorable:
raise
return () | [
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] | pypa/pipenv | python | https://github.com/pypa/pipenv/blob/cae8d76c210b9777e90aab76e9c4b0e53bb19cde/pipenv/patched/notpip/_vendor/pkg_resources/__init__.py#L2006-L2024 | [
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train | non_empty_lines | Yield non-empty lines from file at path | pipenv/patched/notpip/_vendor/pkg_resources/__init__.py | def non_empty_lines(path):
"""
Yield non-empty lines from file at path
"""
with open(path) as f:
for line in f:
line = line.strip()
if line:
yield line | def non_empty_lines(path):
"""
Yield non-empty lines from file at path
"""
with open(path) as f:
for line in f:
line = line.strip()
if line:
yield line | [
"Yield",
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"-",
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] | pypa/pipenv | python | https://github.com/pypa/pipenv/blob/cae8d76c210b9777e90aab76e9c4b0e53bb19cde/pipenv/patched/notpip/_vendor/pkg_resources/__init__.py#L2042-L2050 | [
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"line"
] | cae8d76c210b9777e90aab76e9c4b0e53bb19cde |
train | resolve_egg_link | Given a path to an .egg-link, resolve distributions
present in the referenced path. | pipenv/patched/notpip/_vendor/pkg_resources/__init__.py | def resolve_egg_link(path):
"""
Given a path to an .egg-link, resolve distributions
present in the referenced path.
"""
referenced_paths = non_empty_lines(path)
resolved_paths = (
os.path.join(os.path.dirname(path), ref)
for ref in referenced_paths
)
dist_groups = map(find_distributions, resolved_paths)
return next(dist_groups, ()) | def resolve_egg_link(path):
"""
Given a path to an .egg-link, resolve distributions
present in the referenced path.
"""
referenced_paths = non_empty_lines(path)
resolved_paths = (
os.path.join(os.path.dirname(path), ref)
for ref in referenced_paths
)
dist_groups = map(find_distributions, resolved_paths)
return next(dist_groups, ()) | [
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] | pypa/pipenv | python | https://github.com/pypa/pipenv/blob/cae8d76c210b9777e90aab76e9c4b0e53bb19cde/pipenv/patched/notpip/_vendor/pkg_resources/__init__.py#L2053-L2064 | [
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"for"... | cae8d76c210b9777e90aab76e9c4b0e53bb19cde |
train | _handle_ns | Ensure that named package includes a subpath of path_item (if needed) | pipenv/patched/notpip/_vendor/pkg_resources/__init__.py | def _handle_ns(packageName, path_item):
"""Ensure that named package includes a subpath of path_item (if needed)"""
importer = get_importer(path_item)
if importer is None:
return None
# capture warnings due to #1111
with warnings.catch_warnings():
warnings.simplefilter("ignore")
loader = importer.find_module(packageName)
if loader is None:
return None
module = sys.modules.get(packageName)
if module is None:
module = sys.modules[packageName] = types.ModuleType(packageName)
module.__path__ = []
_set_parent_ns(packageName)
elif not hasattr(module, '__path__'):
raise TypeError("Not a package:", packageName)
handler = _find_adapter(_namespace_handlers, importer)
subpath = handler(importer, path_item, packageName, module)
if subpath is not None:
path = module.__path__
path.append(subpath)
loader.load_module(packageName)
_rebuild_mod_path(path, packageName, module)
return subpath | def _handle_ns(packageName, path_item):
"""Ensure that named package includes a subpath of path_item (if needed)"""
importer = get_importer(path_item)
if importer is None:
return None
# capture warnings due to #1111
with warnings.catch_warnings():
warnings.simplefilter("ignore")
loader = importer.find_module(packageName)
if loader is None:
return None
module = sys.modules.get(packageName)
if module is None:
module = sys.modules[packageName] = types.ModuleType(packageName)
module.__path__ = []
_set_parent_ns(packageName)
elif not hasattr(module, '__path__'):
raise TypeError("Not a package:", packageName)
handler = _find_adapter(_namespace_handlers, importer)
subpath = handler(importer, path_item, packageName, module)
if subpath is not None:
path = module.__path__
path.append(subpath)
loader.load_module(packageName)
_rebuild_mod_path(path, packageName, module)
return subpath | [
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"package",
"includes",
"a",
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"of",
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"(",
"if",
"needed",
")"
] | pypa/pipenv | python | https://github.com/pypa/pipenv/blob/cae8d76c210b9777e90aab76e9c4b0e53bb19cde/pipenv/patched/notpip/_vendor/pkg_resources/__init__.py#L2094-L2122 | [
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"(",
... | cae8d76c210b9777e90aab76e9c4b0e53bb19cde |
train | _rebuild_mod_path | Rebuild module.__path__ ensuring that all entries are ordered
corresponding to their sys.path order | pipenv/patched/notpip/_vendor/pkg_resources/__init__.py | def _rebuild_mod_path(orig_path, package_name, module):
"""
Rebuild module.__path__ ensuring that all entries are ordered
corresponding to their sys.path order
"""
sys_path = [_normalize_cached(p) for p in sys.path]
def safe_sys_path_index(entry):
"""
Workaround for #520 and #513.
"""
try:
return sys_path.index(entry)
except ValueError:
return float('inf')
def position_in_sys_path(path):
"""
Return the ordinal of the path based on its position in sys.path
"""
path_parts = path.split(os.sep)
module_parts = package_name.count('.') + 1
parts = path_parts[:-module_parts]
return safe_sys_path_index(_normalize_cached(os.sep.join(parts)))
new_path = sorted(orig_path, key=position_in_sys_path)
new_path = [_normalize_cached(p) for p in new_path]
if isinstance(module.__path__, list):
module.__path__[:] = new_path
else:
module.__path__ = new_path | def _rebuild_mod_path(orig_path, package_name, module):
"""
Rebuild module.__path__ ensuring that all entries are ordered
corresponding to their sys.path order
"""
sys_path = [_normalize_cached(p) for p in sys.path]
def safe_sys_path_index(entry):
"""
Workaround for #520 and #513.
"""
try:
return sys_path.index(entry)
except ValueError:
return float('inf')
def position_in_sys_path(path):
"""
Return the ordinal of the path based on its position in sys.path
"""
path_parts = path.split(os.sep)
module_parts = package_name.count('.') + 1
parts = path_parts[:-module_parts]
return safe_sys_path_index(_normalize_cached(os.sep.join(parts)))
new_path = sorted(orig_path, key=position_in_sys_path)
new_path = [_normalize_cached(p) for p in new_path]
if isinstance(module.__path__, list):
module.__path__[:] = new_path
else:
module.__path__ = new_path | [
"Rebuild",
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"all",
"entries",
"are",
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"corresponding",
"to",
"their",
"sys",
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"path",
"order"
] | pypa/pipenv | python | https://github.com/pypa/pipenv/blob/cae8d76c210b9777e90aab76e9c4b0e53bb19cde/pipenv/patched/notpip/_vendor/pkg_resources/__init__.py#L2125-L2156 | [
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"(",
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")",
":",
"\"\"\"\n... | cae8d76c210b9777e90aab76e9c4b0e53bb19cde |
train | declare_namespace | Declare that package 'packageName' is a namespace package | pipenv/patched/notpip/_vendor/pkg_resources/__init__.py | def declare_namespace(packageName):
"""Declare that package 'packageName' is a namespace package"""
_imp.acquire_lock()
try:
if packageName in _namespace_packages:
return
path = sys.path
parent, _, _ = packageName.rpartition('.')
if parent:
declare_namespace(parent)
if parent not in _namespace_packages:
__import__(parent)
try:
path = sys.modules[parent].__path__
except AttributeError:
raise TypeError("Not a package:", parent)
# Track what packages are namespaces, so when new path items are added,
# they can be updated
_namespace_packages.setdefault(parent or None, []).append(packageName)
_namespace_packages.setdefault(packageName, [])
for path_item in path:
# Ensure all the parent's path items are reflected in the child,
# if they apply
_handle_ns(packageName, path_item)
finally:
_imp.release_lock() | def declare_namespace(packageName):
"""Declare that package 'packageName' is a namespace package"""
_imp.acquire_lock()
try:
if packageName in _namespace_packages:
return
path = sys.path
parent, _, _ = packageName.rpartition('.')
if parent:
declare_namespace(parent)
if parent not in _namespace_packages:
__import__(parent)
try:
path = sys.modules[parent].__path__
except AttributeError:
raise TypeError("Not a package:", parent)
# Track what packages are namespaces, so when new path items are added,
# they can be updated
_namespace_packages.setdefault(parent or None, []).append(packageName)
_namespace_packages.setdefault(packageName, [])
for path_item in path:
# Ensure all the parent's path items are reflected in the child,
# if they apply
_handle_ns(packageName, path_item)
finally:
_imp.release_lock() | [
"Declare",
"that",
"package",
"packageName",
"is",
"a",
"namespace",
"package"
] | pypa/pipenv | python | https://github.com/pypa/pipenv/blob/cae8d76c210b9777e90aab76e9c4b0e53bb19cde/pipenv/patched/notpip/_vendor/pkg_resources/__init__.py#L2159-L2190 | [
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"=",
"packageName",... | cae8d76c210b9777e90aab76e9c4b0e53bb19cde |
train | fixup_namespace_packages | Ensure that previously-declared namespace packages include path_item | pipenv/patched/notpip/_vendor/pkg_resources/__init__.py | def fixup_namespace_packages(path_item, parent=None):
"""Ensure that previously-declared namespace packages include path_item"""
_imp.acquire_lock()
try:
for package in _namespace_packages.get(parent, ()):
subpath = _handle_ns(package, path_item)
if subpath:
fixup_namespace_packages(subpath, package)
finally:
_imp.release_lock() | def fixup_namespace_packages(path_item, parent=None):
"""Ensure that previously-declared namespace packages include path_item"""
_imp.acquire_lock()
try:
for package in _namespace_packages.get(parent, ()):
subpath = _handle_ns(package, path_item)
if subpath:
fixup_namespace_packages(subpath, package)
finally:
_imp.release_lock() | [
"Ensure",
"that",
"previously",
"-",
"declared",
"namespace",
"packages",
"include",
"path_item"
] | pypa/pipenv | python | https://github.com/pypa/pipenv/blob/cae8d76c210b9777e90aab76e9c4b0e53bb19cde/pipenv/patched/notpip/_vendor/pkg_resources/__init__.py#L2193-L2202 | [
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":",
"subpath",
"=... | cae8d76c210b9777e90aab76e9c4b0e53bb19cde |
train | file_ns_handler | Compute an ns-package subpath for a filesystem or zipfile importer | pipenv/patched/notpip/_vendor/pkg_resources/__init__.py | def file_ns_handler(importer, path_item, packageName, module):
"""Compute an ns-package subpath for a filesystem or zipfile importer"""
subpath = os.path.join(path_item, packageName.split('.')[-1])
normalized = _normalize_cached(subpath)
for item in module.__path__:
if _normalize_cached(item) == normalized:
break
else:
# Only return the path if it's not already there
return subpath | def file_ns_handler(importer, path_item, packageName, module):
"""Compute an ns-package subpath for a filesystem or zipfile importer"""
subpath = os.path.join(path_item, packageName.split('.')[-1])
normalized = _normalize_cached(subpath)
for item in module.__path__:
if _normalize_cached(item) == normalized:
break
else:
# Only return the path if it's not already there
return subpath | [
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"an",
"ns",
"-",
"package",
"subpath",
"for",
"a",
"filesystem",
"or",
"zipfile",
"importer"
] | pypa/pipenv | python | https://github.com/pypa/pipenv/blob/cae8d76c210b9777e90aab76e9c4b0e53bb19cde/pipenv/patched/notpip/_vendor/pkg_resources/__init__.py#L2205-L2215 | [
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"n... | cae8d76c210b9777e90aab76e9c4b0e53bb19cde |
train | normalize_path | Normalize a file/dir name for comparison purposes | pipenv/patched/notpip/_vendor/pkg_resources/__init__.py | def normalize_path(filename):
"""Normalize a file/dir name for comparison purposes"""
return os.path.normcase(os.path.realpath(os.path.normpath(_cygwin_patch(filename)))) | def normalize_path(filename):
"""Normalize a file/dir name for comparison purposes"""
return os.path.normcase(os.path.realpath(os.path.normpath(_cygwin_patch(filename)))) | [
"Normalize",
"a",
"file",
"/",
"dir",
"name",
"for",
"comparison",
"purposes"
] | pypa/pipenv | python | https://github.com/pypa/pipenv/blob/cae8d76c210b9777e90aab76e9c4b0e53bb19cde/pipenv/patched/notpip/_vendor/pkg_resources/__init__.py#L2232-L2234 | [
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")",
")"
] | cae8d76c210b9777e90aab76e9c4b0e53bb19cde |
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