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amzn/ion-python
amazon/ion/simple_types.py
_IonNature.from_value
def from_value(cls, ion_type, value, annotations=()): """Constructs a value as a copy with an associated Ion type and annotations. Args: ion_type (IonType): The associated Ion type. value (Any): The value to construct from, generally of type ``cls``. annotations (Sequence[unicode]): The sequence Unicode strings decorating this value. """ if value is None: value = IonPyNull() else: args, kwargs = cls._to_constructor_args(value) value = cls(*args, **kwargs) value.ion_event = None value.ion_type = ion_type value.ion_annotations = annotations return value
python
def from_value(cls, ion_type, value, annotations=()): if value is None: value = IonPyNull() else: args, kwargs = cls._to_constructor_args(value) value = cls(*args, **kwargs) value.ion_event = None value.ion_type = ion_type value.ion_annotations = annotations return value
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Constructs a value as a copy with an associated Ion type and annotations. Args: ion_type (IonType): The associated Ion type. value (Any): The value to construct from, generally of type ``cls``. annotations (Sequence[unicode]): The sequence Unicode strings decorating this value.
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train
https://github.com/amzn/ion-python/blob/0b21fa3ba7755f55f745e4aa970d86343b82449d/amazon/ion/simple_types.py#L93-L109
amzn/ion-python
amazon/ion/simple_types.py
_IonNature.to_event
def to_event(self, event_type, field_name=None, depth=None): """Constructs an IonEvent from this _IonNature value. Args: event_type (IonEventType): The type of the resulting event. field_name (Optional[text]): The field name associated with this value, if any. depth (Optional[int]): The depth of this value. Returns: An IonEvent with the properties from this value. """ if self.ion_event is None: value = self if isinstance(self, IonPyNull): value = None self.ion_event = IonEvent(event_type, ion_type=self.ion_type, value=value, field_name=field_name, annotations=self.ion_annotations, depth=depth) return self.ion_event
python
def to_event(self, event_type, field_name=None, depth=None): if self.ion_event is None: value = self if isinstance(self, IonPyNull): value = None self.ion_event = IonEvent(event_type, ion_type=self.ion_type, value=value, field_name=field_name, annotations=self.ion_annotations, depth=depth) return self.ion_event
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Constructs an IonEvent from this _IonNature value. Args: event_type (IonEventType): The type of the resulting event. field_name (Optional[text]): The field name associated with this value, if any. depth (Optional[int]): The depth of this value. Returns: An IonEvent with the properties from this value.
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train
https://github.com/amzn/ion-python/blob/0b21fa3ba7755f55f745e4aa970d86343b82449d/amazon/ion/simple_types.py#L111-L128
XML-Security/signxml
signxml/util/__init__.py
bytes_to_long
def bytes_to_long(s): """bytes_to_long(string) : long Convert a byte string to a long integer. This is (essentially) the inverse of long_to_bytes(). """ if isinstance(s, int): # On Python 2, indexing into a bytearray returns a byte string; on Python 3, an int. return s acc = 0 if USING_PYTHON2: acc = long(acc) # noqa unpack = struct.unpack length = len(s) if length % 4: extra = (4 - length % 4) s = b'\000' * extra + s length = length + extra for i in range(0, length, 4): acc = (acc << 32) + unpack(b'>I', s[i:i + 4])[0] return acc
python
def bytes_to_long(s): if isinstance(s, int): return s acc = 0 if USING_PYTHON2: acc = long(acc) unpack = struct.unpack length = len(s) if length % 4: extra = (4 - length % 4) s = b'\000' * extra + s length = length + extra for i in range(0, length, 4): acc = (acc << 32) + unpack(b'>I', s[i:i + 4])[0] return acc
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bytes_to_long(string) : long Convert a byte string to a long integer. This is (essentially) the inverse of long_to_bytes().
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train
https://github.com/XML-Security/signxml/blob/16503242617e9b25e5c2c9ced5ef18a06ffde146/signxml/util/__init__.py#L41-L61
XML-Security/signxml
signxml/util/__init__.py
long_to_bytes
def long_to_bytes(n, blocksize=0): """long_to_bytes(n:long, blocksize:int) : string Convert a long integer to a byte string. If optional blocksize is given and greater than zero, pad the front of the byte string with binary zeros so that the length is a multiple of blocksize. """ # after much testing, this algorithm was deemed to be the fastest s = b'' if USING_PYTHON2: n = long(n) # noqa pack = struct.pack while n > 0: s = pack(b'>I', n & 0xffffffff) + s n = n >> 32 # strip off leading zeros for i in range(len(s)): if s[i] != b'\000'[0]: break else: # only happens when n == 0 s = b'\000' i = 0 s = s[i:] # add back some pad bytes. this could be done more efficiently w.r.t. the # de-padding being done above, but sigh... if blocksize > 0 and len(s) % blocksize: s = (blocksize - len(s) % blocksize) * b'\000' + s return s
python
def long_to_bytes(n, blocksize=0): s = b'' if USING_PYTHON2: n = long(n) pack = struct.pack while n > 0: s = pack(b'>I', n & 0xffffffff) + s n = n >> 32 for i in range(len(s)): if s[i] != b'\000'[0]: break else: s = b'\000' i = 0 s = s[i:] if blocksize > 0 and len(s) % blocksize: s = (blocksize - len(s) % blocksize) * b'\000' + s return s
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train
https://github.com/XML-Security/signxml/blob/16503242617e9b25e5c2c9ced5ef18a06ffde146/signxml/util/__init__.py#L64-L93
XML-Security/signxml
signxml/util/__init__.py
raw_p_sha1
def raw_p_sha1(secret, seed, sizes=()): """ Derive one or more keys from secret and seed. (See specs part 6, 6.7.5 and RFC 2246 - TLS v1.0) Lengths of keys will match sizes argument Source: https://github.com/FreeOpcUa/python-opcua key_sizes = (signature_key_size, symmetric_key_size, 16) (sigkey, key, init_vec) = p_sha1(nonce2, nonce1, key_sizes) """ full_size = 0 for size in sizes: full_size += size result = b'' accum = seed while len(result) < full_size: accum = hmac_sha1(secret, accum) result += hmac_sha1(secret, accum + seed) parts = [] for size in sizes: parts.append(result[:size]) result = result[size:] return tuple(parts)
python
def raw_p_sha1(secret, seed, sizes=()): full_size = 0 for size in sizes: full_size += size result = b'' accum = seed while len(result) < full_size: accum = hmac_sha1(secret, accum) result += hmac_sha1(secret, accum + seed) parts = [] for size in sizes: parts.append(result[:size]) result = result[size:] return tuple(parts)
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Derive one or more keys from secret and seed. (See specs part 6, 6.7.5 and RFC 2246 - TLS v1.0) Lengths of keys will match sizes argument Source: https://github.com/FreeOpcUa/python-opcua key_sizes = (signature_key_size, symmetric_key_size, 16) (sigkey, key, init_vec) = p_sha1(nonce2, nonce1, key_sizes)
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train
https://github.com/XML-Security/signxml/blob/16503242617e9b25e5c2c9ced5ef18a06ffde146/signxml/util/__init__.py#L162-L186
XML-Security/signxml
signxml/util/__init__.py
verify_x509_cert_chain
def verify_x509_cert_chain(cert_chain, ca_pem_file=None, ca_path=None): """ Look at certs in the cert chain and add them to the store one by one. Return the cert at the end of the chain. That is the cert to be used by the caller for verifying. From https://www.w3.org/TR/xmldsig-core2/#sec-X509Data: "All certificates appearing in an X509Data element must relate to the validation key by either containing it or being part of a certification chain that terminates in a certificate containing the validation key. No ordering is implied by the above constraints" """ from OpenSSL import SSL context = SSL.Context(SSL.TLSv1_METHOD) if ca_pem_file is None and ca_path is None: import certifi ca_pem_file = certifi.where() context.load_verify_locations(ensure_bytes(ca_pem_file, none_ok=True), capath=ca_path) store = context.get_cert_store() certs = list(reversed(cert_chain)) end_of_chain, last_error = None, None while len(certs) > 0: for cert in certs: try: end_of_chain = _add_cert_to_store(store, cert) certs.remove(cert) break except RedundantCert: certs.remove(cert) if end_of_chain is None: end_of_chain = cert break except Exception as e: last_error = e else: raise last_error return end_of_chain
python
def verify_x509_cert_chain(cert_chain, ca_pem_file=None, ca_path=None): from OpenSSL import SSL context = SSL.Context(SSL.TLSv1_METHOD) if ca_pem_file is None and ca_path is None: import certifi ca_pem_file = certifi.where() context.load_verify_locations(ensure_bytes(ca_pem_file, none_ok=True), capath=ca_path) store = context.get_cert_store() certs = list(reversed(cert_chain)) end_of_chain, last_error = None, None while len(certs) > 0: for cert in certs: try: end_of_chain = _add_cert_to_store(store, cert) certs.remove(cert) break except RedundantCert: certs.remove(cert) if end_of_chain is None: end_of_chain = cert break except Exception as e: last_error = e else: raise last_error return end_of_chain
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Look at certs in the cert chain and add them to the store one by one. Return the cert at the end of the chain. That is the cert to be used by the caller for verifying. From https://www.w3.org/TR/xmldsig-core2/#sec-X509Data: "All certificates appearing in an X509Data element must relate to the validation key by either containing it or being part of a certification chain that terminates in a certificate containing the validation key. No ordering is implied by the above constraints"
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https://github.com/XML-Security/signxml/blob/16503242617e9b25e5c2c9ced5ef18a06ffde146/signxml/util/__init__.py#L209-L242
XML-Security/signxml
signxml/__init__.py
_remove_sig
def _remove_sig(signature, idempotent=False): """ Remove the signature node from its parent, keeping any tail element. This is needed for eneveloped signatures. :param signature: Signature to remove from payload :type signature: XML ElementTree Element :param idempotent: If True, don't raise an error if signature is already detached from parent. :type idempotent: boolean """ try: signaturep = next(signature.iterancestors()) except StopIteration: if idempotent: return raise ValueError("Can't remove the root signature node") if signature.tail is not None: try: signatures = next(signature.itersiblings(preceding=True)) except StopIteration: if signaturep.text is not None: signaturep.text = signaturep.text + signature.tail else: signaturep.text = signature.tail else: if signatures.tail is not None: signatures.tail = signatures.tail + signature.tail else: signatures.tail = signature.tail signaturep.remove(signature)
python
def _remove_sig(signature, idempotent=False): try: signaturep = next(signature.iterancestors()) except StopIteration: if idempotent: return raise ValueError("Can't remove the root signature node") if signature.tail is not None: try: signatures = next(signature.itersiblings(preceding=True)) except StopIteration: if signaturep.text is not None: signaturep.text = signaturep.text + signature.tail else: signaturep.text = signature.tail else: if signatures.tail is not None: signatures.tail = signatures.tail + signature.tail else: signatures.tail = signature.tail signaturep.remove(signature)
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Remove the signature node from its parent, keeping any tail element. This is needed for eneveloped signatures. :param signature: Signature to remove from payload :type signature: XML ElementTree Element :param idempotent: If True, don't raise an error if signature is already detached from parent. :type idempotent: boolean
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https://github.com/XML-Security/signxml/blob/16503242617e9b25e5c2c9ced5ef18a06ffde146/signxml/__init__.py#L39-L69
XML-Security/signxml
signxml/__init__.py
XMLSigner.sign
def sign(self, data, key=None, passphrase=None, cert=None, reference_uri=None, key_name=None, key_info=None, id_attribute=None): """ Sign the data and return the root element of the resulting XML tree. :param data: Data to sign :type data: String, file-like object, or XML ElementTree Element API compatible object :param key: Key to be used for signing. When signing with a certificate or RSA/DSA/ECDSA key, this can be a string containing a PEM-formatted key, or a :py:class:`cryptography.hazmat.primitives.interfaces.RSAPublicKey`, :py:class:`cryptography.hazmat.primitives.interfaces.DSAPublicKey`, or :py:class:`cryptography.hazmat.primitives.interfaces.EllipticCurvePublicKey` object. When signing with a HMAC, this should be a string containing the shared secret. :type key: string, :py:class:`cryptography.hazmat.primitives.interfaces.RSAPublicKey`, :py:class:`cryptography.hazmat.primitives.interfaces.DSAPublicKey`, or :py:class:`cryptography.hazmat.primitives.interfaces.EllipticCurvePublicKey` object :param passphrase: Passphrase to use to decrypt the key, if any. :type passphrase: string :param cert: X.509 certificate to use for signing. This should be a string containing a PEM-formatted certificate, or an array of strings or OpenSSL.crypto.X509 objects containing the certificate and a chain of intermediate certificates. :type cert: string, array of strings, or array of OpenSSL.crypto.X509 objects :param reference_uri: Custom reference URI or list of reference URIs to incorporate into the signature. When ``method`` is set to ``detached`` or ``enveloped``, reference URIs are set to this value and only the referenced elements are signed. :type reference_uri: string or list :param key_name: Add a KeyName element in the KeyInfo element that may be used by the signer to communicate a key identifier to the recipient. Typically, KeyName contains an identifier related to the key pair used to sign the message. :type key_name: string :param key_info: A custom KeyInfo element to insert in the signature. Use this to supply ``<wsse:SecurityTokenReference>`` or other custom key references. :type key_info: :py:class:`lxml.etree.Element` :param id_attribute: Name of the attribute whose value ``URI`` refers to. By default, SignXML will search for "Id", then "ID". :type id_attribute: string :returns: A :py:class:`lxml.etree.Element` object representing the root of the XML tree containing the signature and the payload data. To specify the location of an enveloped signature within **data**, insert a ``<ds:Signature Id="placeholder"></ds:Signature>`` element in **data** (where "ds" is the "http://www.w3.org/2000/09/xmldsig#" namespace). This element will be replaced by the generated signature, and excised when generating the digest. """ if id_attribute is not None: self.id_attributes = (id_attribute, ) if isinstance(cert, (str, bytes)): cert_chain = list(iterate_pem(cert)) else: cert_chain = cert if isinstance(reference_uri, (str, bytes)): reference_uris = [reference_uri] else: reference_uris = reference_uri sig_root, doc_root, c14n_inputs, reference_uris = self._unpack(data, reference_uris) signed_info_element, signature_value_element = self._build_sig(sig_root, reference_uris, c14n_inputs) if key is None: raise InvalidInput('Parameter "key" is required') signed_info_c14n = self._c14n(signed_info_element, algorithm=self.c14n_alg) if self.sign_alg.startswith("hmac-"): from cryptography.hazmat.primitives.hmac import HMAC signer = HMAC(key=key, algorithm=self._get_hmac_digest_method_by_tag(self.sign_alg), backend=default_backend()) signer.update(signed_info_c14n) signature_value_element.text = ensure_str(b64encode(signer.finalize())) sig_root.append(signature_value_element) elif any(self.sign_alg.startswith(i) for i in ["dsa-", "rsa-", "ecdsa-"]): if isinstance(key, (str, bytes)): from cryptography.hazmat.primitives.serialization import load_pem_private_key key = load_pem_private_key(key, password=passphrase, backend=default_backend()) hash_alg = self._get_signature_digest_method_by_tag(self.sign_alg) if self.sign_alg.startswith("dsa-"): signature = key.sign(signed_info_c14n, algorithm=hash_alg) elif self.sign_alg.startswith("ecdsa-"): signature = key.sign(signed_info_c14n, signature_algorithm=ec.ECDSA(algorithm=hash_alg)) elif self.sign_alg.startswith("rsa-"): signature = key.sign(signed_info_c14n, padding=PKCS1v15(), algorithm=hash_alg) else: raise NotImplementedError() if self.sign_alg.startswith("dsa-"): # Note: The output of the DSA signer is a DER-encoded ASN.1 sequence of two DER integers. from asn1crypto.algos import DSASignature decoded_signature = DSASignature.load(signature).native r = decoded_signature['r'] s = decoded_signature['s'] signature = long_to_bytes(r).rjust(32, b"\0") + long_to_bytes(s).rjust(32, b"\0") signature_value_element.text = ensure_str(b64encode(signature)) if key_info is None: key_info = SubElement(sig_root, ds_tag("KeyInfo")) if key_name is not None: keyname = SubElement(key_info, ds_tag("KeyName")) keyname.text = key_name if cert_chain is None: self._serialize_key_value(key, key_info) else: x509_data = SubElement(key_info, ds_tag("X509Data")) for cert in cert_chain: x509_certificate = SubElement(x509_data, ds_tag("X509Certificate")) if isinstance(cert, (str, bytes)): x509_certificate.text = strip_pem_header(cert) else: from OpenSSL.crypto import dump_certificate, FILETYPE_PEM x509_certificate.text = strip_pem_header(dump_certificate(FILETYPE_PEM, cert)) else: sig_root.append(key_info) else: raise NotImplementedError() if self.method == methods.enveloping: for c14n_input in c14n_inputs: doc_root.append(c14n_input) return doc_root if self.method == methods.enveloped else sig_root
python
def sign(self, data, key=None, passphrase=None, cert=None, reference_uri=None, key_name=None, key_info=None, id_attribute=None): if id_attribute is not None: self.id_attributes = (id_attribute, ) if isinstance(cert, (str, bytes)): cert_chain = list(iterate_pem(cert)) else: cert_chain = cert if isinstance(reference_uri, (str, bytes)): reference_uris = [reference_uri] else: reference_uris = reference_uri sig_root, doc_root, c14n_inputs, reference_uris = self._unpack(data, reference_uris) signed_info_element, signature_value_element = self._build_sig(sig_root, reference_uris, c14n_inputs) if key is None: raise InvalidInput('Parameter "key" is required') signed_info_c14n = self._c14n(signed_info_element, algorithm=self.c14n_alg) if self.sign_alg.startswith("hmac-"): from cryptography.hazmat.primitives.hmac import HMAC signer = HMAC(key=key, algorithm=self._get_hmac_digest_method_by_tag(self.sign_alg), backend=default_backend()) signer.update(signed_info_c14n) signature_value_element.text = ensure_str(b64encode(signer.finalize())) sig_root.append(signature_value_element) elif any(self.sign_alg.startswith(i) for i in ["dsa-", "rsa-", "ecdsa-"]): if isinstance(key, (str, bytes)): from cryptography.hazmat.primitives.serialization import load_pem_private_key key = load_pem_private_key(key, password=passphrase, backend=default_backend()) hash_alg = self._get_signature_digest_method_by_tag(self.sign_alg) if self.sign_alg.startswith("dsa-"): signature = key.sign(signed_info_c14n, algorithm=hash_alg) elif self.sign_alg.startswith("ecdsa-"): signature = key.sign(signed_info_c14n, signature_algorithm=ec.ECDSA(algorithm=hash_alg)) elif self.sign_alg.startswith("rsa-"): signature = key.sign(signed_info_c14n, padding=PKCS1v15(), algorithm=hash_alg) else: raise NotImplementedError() if self.sign_alg.startswith("dsa-"): from asn1crypto.algos import DSASignature decoded_signature = DSASignature.load(signature).native r = decoded_signature['r'] s = decoded_signature['s'] signature = long_to_bytes(r).rjust(32, b"\0") + long_to_bytes(s).rjust(32, b"\0") signature_value_element.text = ensure_str(b64encode(signature)) if key_info is None: key_info = SubElement(sig_root, ds_tag("KeyInfo")) if key_name is not None: keyname = SubElement(key_info, ds_tag("KeyName")) keyname.text = key_name if cert_chain is None: self._serialize_key_value(key, key_info) else: x509_data = SubElement(key_info, ds_tag("X509Data")) for cert in cert_chain: x509_certificate = SubElement(x509_data, ds_tag("X509Certificate")) if isinstance(cert, (str, bytes)): x509_certificate.text = strip_pem_header(cert) else: from OpenSSL.crypto import dump_certificate, FILETYPE_PEM x509_certificate.text = strip_pem_header(dump_certificate(FILETYPE_PEM, cert)) else: sig_root.append(key_info) else: raise NotImplementedError() if self.method == methods.enveloping: for c14n_input in c14n_inputs: doc_root.append(c14n_input) return doc_root if self.method == methods.enveloped else sig_root
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Sign the data and return the root element of the resulting XML tree. :param data: Data to sign :type data: String, file-like object, or XML ElementTree Element API compatible object :param key: Key to be used for signing. When signing with a certificate or RSA/DSA/ECDSA key, this can be a string containing a PEM-formatted key, or a :py:class:`cryptography.hazmat.primitives.interfaces.RSAPublicKey`, :py:class:`cryptography.hazmat.primitives.interfaces.DSAPublicKey`, or :py:class:`cryptography.hazmat.primitives.interfaces.EllipticCurvePublicKey` object. When signing with a HMAC, this should be a string containing the shared secret. :type key: string, :py:class:`cryptography.hazmat.primitives.interfaces.RSAPublicKey`, :py:class:`cryptography.hazmat.primitives.interfaces.DSAPublicKey`, or :py:class:`cryptography.hazmat.primitives.interfaces.EllipticCurvePublicKey` object :param passphrase: Passphrase to use to decrypt the key, if any. :type passphrase: string :param cert: X.509 certificate to use for signing. This should be a string containing a PEM-formatted certificate, or an array of strings or OpenSSL.crypto.X509 objects containing the certificate and a chain of intermediate certificates. :type cert: string, array of strings, or array of OpenSSL.crypto.X509 objects :param reference_uri: Custom reference URI or list of reference URIs to incorporate into the signature. When ``method`` is set to ``detached`` or ``enveloped``, reference URIs are set to this value and only the referenced elements are signed. :type reference_uri: string or list :param key_name: Add a KeyName element in the KeyInfo element that may be used by the signer to communicate a key identifier to the recipient. Typically, KeyName contains an identifier related to the key pair used to sign the message. :type key_name: string :param key_info: A custom KeyInfo element to insert in the signature. Use this to supply ``<wsse:SecurityTokenReference>`` or other custom key references. :type key_info: :py:class:`lxml.etree.Element` :param id_attribute: Name of the attribute whose value ``URI`` refers to. By default, SignXML will search for "Id", then "ID". :type id_attribute: string :returns: A :py:class:`lxml.etree.Element` object representing the root of the XML tree containing the signature and the payload data. To specify the location of an enveloped signature within **data**, insert a ``<ds:Signature Id="placeholder"></ds:Signature>`` element in **data** (where "ds" is the "http://www.w3.org/2000/09/xmldsig#" namespace). This element will be replaced by the generated signature, and excised when generating the digest.
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train
https://github.com/XML-Security/signxml/blob/16503242617e9b25e5c2c9ced5ef18a06ffde146/signxml/__init__.py#L283-L409
XML-Security/signxml
signxml/__init__.py
XMLVerifier.verify
def verify(self, data, require_x509=True, x509_cert=None, cert_subject_name=None, ca_pem_file=None, ca_path=None, hmac_key=None, validate_schema=True, parser=None, uri_resolver=None, id_attribute=None, expect_references=1): """ Verify the XML signature supplied in the data and return the XML node signed by the signature, or raise an exception if the signature is not valid. By default, this requires the signature to be generated using a valid X.509 certificate. To enable other means of signature validation, set the **require_x509** argument to `False`. .. admonition:: See what is signed It is important to understand and follow the best practice rule of "See what is signed" when verifying XML signatures. The gist of this rule is: if your application neglects to verify that the information it trusts is what was actually signed, the attacker can supply a valid signature but point you to malicious data that wasn't signed by that signature. In SignXML, you can ensure that the information signed is what you expect to be signed by only trusting the data returned by the ``verify()`` method. The return value is the XML node or string that was signed. Also, depending on the signature settings used, comments in the XML data may not be subject to signing, so may need to be untrusted. **Recommended reading:** http://www.w3.org/TR/xmldsig-bestpractices/#practices-applications .. admonition:: Establish trust If you do not supply any keyword arguments to ``verify()``, the default behavior is to trust **any** valid XML signature generated using a valid X.509 certificate trusted by your system's CA store. This means anyone can get an SSL certificate and generate a signature that you will trust. To establish trust in the signer, use the ``x509_cert`` argument to specify a certificate that was pre-shared out-of-band (e.g. via SAML metadata, as shown in :ref:`Verifying SAML assertions <verifying-saml-assertions>`), or ``cert_subject_name`` to specify a subject name that must be in the signing X.509 certificate given by the signature (verified as if it were a domain name), or ``ca_pem_file``/``ca_path`` to give a custom CA. :param data: Signature data to verify :type data: String, file-like object, or XML ElementTree Element API compatible object :param require_x509: If ``True``, a valid X.509 certificate-based signature with an established chain of trust is required to pass validation. If ``False``, other types of valid signatures (e.g. HMAC or RSA public key) are accepted. :type require_x509: boolean :param x509_cert: A trusted external X.509 certificate, given as a PEM-formatted string or OpenSSL.crypto.X509 object, to use for verification. Overrides any X.509 certificate information supplied by the signature. If left set to ``None``, requires that the signature supply a valid X.509 certificate chain that validates against the known certificate authorities. Implies **require_x509=True**. :type x509_cert: string or OpenSSL.crypto.X509 :param ca_pem_file: Filename of a PEM file containing certificate authority information to use when verifying certificate-based signatures. :type ca_pem_file: string or bytes :param ca_path: Path to a directory containing PEM-formatted certificate authority files to use when verifying certificate-based signatures. If neither **ca_pem_file** nor **ca_path** is given, the Mozilla CA bundle provided by :py:mod:`certifi` will be loaded. :type ca_path: string :param cert_subject_name: Subject Common Name to check the signing X.509 certificate against. Implies **require_x509=True**. :type cert_subject_name: string :param hmac_key: If using HMAC, a string containing the shared secret. :type hmac_key: string :param validate_schema: Whether to validate **data** against the XML Signature schema. :type validate_schema: boolean :param parser: Custom XML parser instance to use when parsing **data**. :type parser: :py:class:`lxml.etree.XMLParser` compatible parser :param uri_resolver: Function to use to resolve reference URIs that don't start with "#". :type uri_resolver: callable :param id_attribute: Name of the attribute whose value ``URI`` refers to. By default, SignXML will search for "Id", then "ID". :type id_attribute: string :param expect_references: Number of references to expect in the signature. If this is not 1, an array of VerifyResults is returned. If set to a non-integer, any number of references is accepted (otherwise a mismatch raises an error). :type expect_references: int or boolean :raises: :py:class:`cryptography.exceptions.InvalidSignature` :returns: VerifyResult object with the signed data, signed xml and signature xml :rtype: VerifyResult """ self.hmac_key = hmac_key self.require_x509 = require_x509 self.x509_cert = x509_cert self._parser = parser if x509_cert: self.require_x509 = True if id_attribute is not None: self.id_attributes = (id_attribute, ) root = self.get_root(data) if root.tag == ds_tag("Signature"): signature_ref = root else: signature_ref = self._find(root, "Signature", anywhere=True) # HACK: deep copy won't keep root's namespaces signature = fromstring(etree.tostring(signature_ref), parser=parser) if validate_schema: self.schema().assertValid(signature) signed_info = self._find(signature, "SignedInfo") c14n_method = self._find(signed_info, "CanonicalizationMethod") c14n_algorithm = c14n_method.get("Algorithm") signature_method = self._find(signed_info, "SignatureMethod") signature_value = self._find(signature, "SignatureValue") signature_alg = signature_method.get("Algorithm") raw_signature = b64decode(signature_value.text) x509_data = signature.find("ds:KeyInfo/ds:X509Data", namespaces=namespaces) signed_info_c14n = self._c14n(signed_info, algorithm=c14n_algorithm) if x509_data is not None or self.require_x509: from OpenSSL.crypto import load_certificate, X509, FILETYPE_PEM, verify, Error as OpenSSLCryptoError if self.x509_cert is None: if x509_data is None: raise InvalidInput("Expected a X.509 certificate based signature") certs = [cert.text for cert in self._findall(x509_data, "X509Certificate")] if not certs: msg = "Expected to find an X509Certificate element in the signature" msg += " (X509SubjectName, X509SKI are not supported)" raise InvalidInput(msg) cert_chain = [load_certificate(FILETYPE_PEM, add_pem_header(cert)) for cert in certs] signing_cert = verify_x509_cert_chain(cert_chain, ca_pem_file=ca_pem_file, ca_path=ca_path) elif isinstance(self.x509_cert, X509): signing_cert = self.x509_cert else: signing_cert = load_certificate(FILETYPE_PEM, add_pem_header(self.x509_cert)) if cert_subject_name and signing_cert.get_subject().commonName != cert_subject_name: raise InvalidSignature("Certificate subject common name mismatch") signature_digest_method = self._get_signature_digest_method(signature_alg).name try: verify(signing_cert, raw_signature, signed_info_c14n, signature_digest_method) except OpenSSLCryptoError as e: try: lib, func, reason = e.args[0][0] except Exception: reason = e raise InvalidSignature("Signature verification failed: {}".format(reason)) # TODO: CN verification goes here # TODO: require one of the following to be set: either x509_cert or (ca_pem_file or ca_path) or common_name # Use ssl.match_hostname or code from it to perform match elif "hmac-sha" in signature_alg: if self.hmac_key is None: raise InvalidInput('Parameter "hmac_key" is required when verifying a HMAC signature') from cryptography.hazmat.primitives.hmac import HMAC signer = HMAC(key=ensure_bytes(self.hmac_key), algorithm=self._get_hmac_digest_method(signature_alg), backend=default_backend()) signer.update(signed_info_c14n) if raw_signature != signer.finalize(): raise InvalidSignature("Signature mismatch (HMAC)") else: key_value = signature.find("ds:KeyInfo/ds:KeyValue", namespaces=namespaces) if key_value is None: raise InvalidInput("Expected to find either KeyValue or X509Data XML element in KeyInfo") self._verify_signature_with_pubkey(signed_info_c14n, raw_signature, key_value, signature_alg) verify_results = [] for reference in self._findall(signed_info, "Reference"): transforms = self._find(reference, "Transforms", require=False) digest_algorithm = self._find(reference, "DigestMethod").get("Algorithm") digest_value = self._find(reference, "DigestValue") payload = self._resolve_reference(root, reference, uri_resolver=uri_resolver) payload_c14n = self._apply_transforms(payload, transforms, signature_ref, c14n_algorithm) if digest_value.text != self._get_digest(payload_c14n, self._get_digest_method(digest_algorithm)): raise InvalidDigest("Digest mismatch for reference {}".format(len(verify_results))) # We return the signed XML (and only that) to ensure no access to unsigned data happens try: payload_c14n_xml = fromstring(payload_c14n) except etree.XMLSyntaxError: payload_c14n_xml = None verify_results.append(VerifyResult(payload_c14n, payload_c14n_xml, signature)) if type(expect_references) is int and len(verify_results) != expect_references: msg = "Expected to find {} references, but found {}" raise InvalidSignature(msg.format(expect_references, len(verify_results))) return verify_results if expect_references > 1 else verify_results[0]
python
def verify(self, data, require_x509=True, x509_cert=None, cert_subject_name=None, ca_pem_file=None, ca_path=None, hmac_key=None, validate_schema=True, parser=None, uri_resolver=None, id_attribute=None, expect_references=1): self.hmac_key = hmac_key self.require_x509 = require_x509 self.x509_cert = x509_cert self._parser = parser if x509_cert: self.require_x509 = True if id_attribute is not None: self.id_attributes = (id_attribute, ) root = self.get_root(data) if root.tag == ds_tag("Signature"): signature_ref = root else: signature_ref = self._find(root, "Signature", anywhere=True) signature = fromstring(etree.tostring(signature_ref), parser=parser) if validate_schema: self.schema().assertValid(signature) signed_info = self._find(signature, "SignedInfo") c14n_method = self._find(signed_info, "CanonicalizationMethod") c14n_algorithm = c14n_method.get("Algorithm") signature_method = self._find(signed_info, "SignatureMethod") signature_value = self._find(signature, "SignatureValue") signature_alg = signature_method.get("Algorithm") raw_signature = b64decode(signature_value.text) x509_data = signature.find("ds:KeyInfo/ds:X509Data", namespaces=namespaces) signed_info_c14n = self._c14n(signed_info, algorithm=c14n_algorithm) if x509_data is not None or self.require_x509: from OpenSSL.crypto import load_certificate, X509, FILETYPE_PEM, verify, Error as OpenSSLCryptoError if self.x509_cert is None: if x509_data is None: raise InvalidInput("Expected a X.509 certificate based signature") certs = [cert.text for cert in self._findall(x509_data, "X509Certificate")] if not certs: msg = "Expected to find an X509Certificate element in the signature" msg += " (X509SubjectName, X509SKI are not supported)" raise InvalidInput(msg) cert_chain = [load_certificate(FILETYPE_PEM, add_pem_header(cert)) for cert in certs] signing_cert = verify_x509_cert_chain(cert_chain, ca_pem_file=ca_pem_file, ca_path=ca_path) elif isinstance(self.x509_cert, X509): signing_cert = self.x509_cert else: signing_cert = load_certificate(FILETYPE_PEM, add_pem_header(self.x509_cert)) if cert_subject_name and signing_cert.get_subject().commonName != cert_subject_name: raise InvalidSignature("Certificate subject common name mismatch") signature_digest_method = self._get_signature_digest_method(signature_alg).name try: verify(signing_cert, raw_signature, signed_info_c14n, signature_digest_method) except OpenSSLCryptoError as e: try: lib, func, reason = e.args[0][0] except Exception: reason = e raise InvalidSignature("Signature verification failed: {}".format(reason)) elif "hmac-sha" in signature_alg: if self.hmac_key is None: raise InvalidInput('Parameter "hmac_key" is required when verifying a HMAC signature') from cryptography.hazmat.primitives.hmac import HMAC signer = HMAC(key=ensure_bytes(self.hmac_key), algorithm=self._get_hmac_digest_method(signature_alg), backend=default_backend()) signer.update(signed_info_c14n) if raw_signature != signer.finalize(): raise InvalidSignature("Signature mismatch (HMAC)") else: key_value = signature.find("ds:KeyInfo/ds:KeyValue", namespaces=namespaces) if key_value is None: raise InvalidInput("Expected to find either KeyValue or X509Data XML element in KeyInfo") self._verify_signature_with_pubkey(signed_info_c14n, raw_signature, key_value, signature_alg) verify_results = [] for reference in self._findall(signed_info, "Reference"): transforms = self._find(reference, "Transforms", require=False) digest_algorithm = self._find(reference, "DigestMethod").get("Algorithm") digest_value = self._find(reference, "DigestValue") payload = self._resolve_reference(root, reference, uri_resolver=uri_resolver) payload_c14n = self._apply_transforms(payload, transforms, signature_ref, c14n_algorithm) if digest_value.text != self._get_digest(payload_c14n, self._get_digest_method(digest_algorithm)): raise InvalidDigest("Digest mismatch for reference {}".format(len(verify_results))) try: payload_c14n_xml = fromstring(payload_c14n) except etree.XMLSyntaxError: payload_c14n_xml = None verify_results.append(VerifyResult(payload_c14n, payload_c14n_xml, signature)) if type(expect_references) is int and len(verify_results) != expect_references: msg = "Expected to find {} references, but found {}" raise InvalidSignature(msg.format(expect_references, len(verify_results))) return verify_results if expect_references > 1 else verify_results[0]
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Verify the XML signature supplied in the data and return the XML node signed by the signature, or raise an exception if the signature is not valid. By default, this requires the signature to be generated using a valid X.509 certificate. To enable other means of signature validation, set the **require_x509** argument to `False`. .. admonition:: See what is signed It is important to understand and follow the best practice rule of "See what is signed" when verifying XML signatures. The gist of this rule is: if your application neglects to verify that the information it trusts is what was actually signed, the attacker can supply a valid signature but point you to malicious data that wasn't signed by that signature. In SignXML, you can ensure that the information signed is what you expect to be signed by only trusting the data returned by the ``verify()`` method. The return value is the XML node or string that was signed. Also, depending on the signature settings used, comments in the XML data may not be subject to signing, so may need to be untrusted. **Recommended reading:** http://www.w3.org/TR/xmldsig-bestpractices/#practices-applications .. admonition:: Establish trust If you do not supply any keyword arguments to ``verify()``, the default behavior is to trust **any** valid XML signature generated using a valid X.509 certificate trusted by your system's CA store. This means anyone can get an SSL certificate and generate a signature that you will trust. To establish trust in the signer, use the ``x509_cert`` argument to specify a certificate that was pre-shared out-of-band (e.g. via SAML metadata, as shown in :ref:`Verifying SAML assertions <verifying-saml-assertions>`), or ``cert_subject_name`` to specify a subject name that must be in the signing X.509 certificate given by the signature (verified as if it were a domain name), or ``ca_pem_file``/``ca_path`` to give a custom CA. :param data: Signature data to verify :type data: String, file-like object, or XML ElementTree Element API compatible object :param require_x509: If ``True``, a valid X.509 certificate-based signature with an established chain of trust is required to pass validation. If ``False``, other types of valid signatures (e.g. HMAC or RSA public key) are accepted. :type require_x509: boolean :param x509_cert: A trusted external X.509 certificate, given as a PEM-formatted string or OpenSSL.crypto.X509 object, to use for verification. Overrides any X.509 certificate information supplied by the signature. If left set to ``None``, requires that the signature supply a valid X.509 certificate chain that validates against the known certificate authorities. Implies **require_x509=True**. :type x509_cert: string or OpenSSL.crypto.X509 :param ca_pem_file: Filename of a PEM file containing certificate authority information to use when verifying certificate-based signatures. :type ca_pem_file: string or bytes :param ca_path: Path to a directory containing PEM-formatted certificate authority files to use when verifying certificate-based signatures. If neither **ca_pem_file** nor **ca_path** is given, the Mozilla CA bundle provided by :py:mod:`certifi` will be loaded. :type ca_path: string :param cert_subject_name: Subject Common Name to check the signing X.509 certificate against. Implies **require_x509=True**. :type cert_subject_name: string :param hmac_key: If using HMAC, a string containing the shared secret. :type hmac_key: string :param validate_schema: Whether to validate **data** against the XML Signature schema. :type validate_schema: boolean :param parser: Custom XML parser instance to use when parsing **data**. :type parser: :py:class:`lxml.etree.XMLParser` compatible parser :param uri_resolver: Function to use to resolve reference URIs that don't start with "#". :type uri_resolver: callable :param id_attribute: Name of the attribute whose value ``URI`` refers to. By default, SignXML will search for "Id", then "ID". :type id_attribute: string :param expect_references: Number of references to expect in the signature. If this is not 1, an array of VerifyResults is returned. If set to a non-integer, any number of references is accepted (otherwise a mismatch raises an error). :type expect_references: int or boolean :raises: :py:class:`cryptography.exceptions.InvalidSignature` :returns: VerifyResult object with the signed data, signed xml and signature xml :rtype: VerifyResult
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train
https://github.com/XML-Security/signxml/blob/16503242617e9b25e5c2c9ced5ef18a06ffde146/signxml/__init__.py#L596-L779
cenkalti/github-flask
flask_github.py
GitHub.authorize
def authorize(self, scope=None, redirect_uri=None, state=None): """ Redirect to GitHub and request access to a user's data. :param scope: List of `Scopes`_ for which to request access, formatted as a string or comma delimited list of scopes as a string. Defaults to ``None``, resulting in granting read-only access to public information (includes public user profile info, public repository info, and gists). For more information on this, see the examples in presented in the GitHub API `Scopes`_ documentation, or see the examples provided below. :type scope: str :param redirect_uri: `Redirect URL`_ to which to redirect the user after authentication. Defaults to ``None``, resulting in using the default redirect URL for the OAuth application as defined in GitHub. This URL can differ from the callback URL defined in your GitHub application, however it must be a subdirectory of the specified callback URL, otherwise raises a :class:`GitHubError`. For more information on this, see the examples in presented in the GitHub API `Redirect URL`_ documentation, or see the example provided below. :type redirect_uri: str :param state: An unguessable random string. It is used to protect against cross-site request forgery attacks. :type state: str For example, if we wanted to use this method to get read/write access to user profile information, in addition to read-write access to code, commit status, etc., we would need to use the `Scopes`_ ``user`` and ``repo`` when calling this method. .. code-block:: python github.authorize(scope="user,repo") Additionally, if we wanted to specify a different redirect URL following authorization. .. code-block:: python # Our application's callback URL is "http://example.com/callback" redirect_uri="http://example.com/callback/my/path" github.authorize(scope="user,repo", redirect_uri=redirect_uri) .. _Scopes: https://developer.github.com/v3/oauth/#scopes .. _Redirect URL: https://developer.github.com/v3/oauth/#redirect-urls """ _logger.debug("Called authorize()") params = {'client_id': self.client_id} if scope: params['scope'] = scope if redirect_uri: params['redirect_uri'] = redirect_uri if state: params['state'] = state url = self.auth_url + 'authorize?' + urlencode(params) _logger.debug("Redirecting to %s", url) return redirect(url)
python
def authorize(self, scope=None, redirect_uri=None, state=None): _logger.debug("Called authorize()") params = {'client_id': self.client_id} if scope: params['scope'] = scope if redirect_uri: params['redirect_uri'] = redirect_uri if state: params['state'] = state url = self.auth_url + 'authorize?' + urlencode(params) _logger.debug("Redirecting to %s", url) return redirect(url)
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Redirect to GitHub and request access to a user's data. :param scope: List of `Scopes`_ for which to request access, formatted as a string or comma delimited list of scopes as a string. Defaults to ``None``, resulting in granting read-only access to public information (includes public user profile info, public repository info, and gists). For more information on this, see the examples in presented in the GitHub API `Scopes`_ documentation, or see the examples provided below. :type scope: str :param redirect_uri: `Redirect URL`_ to which to redirect the user after authentication. Defaults to ``None``, resulting in using the default redirect URL for the OAuth application as defined in GitHub. This URL can differ from the callback URL defined in your GitHub application, however it must be a subdirectory of the specified callback URL, otherwise raises a :class:`GitHubError`. For more information on this, see the examples in presented in the GitHub API `Redirect URL`_ documentation, or see the example provided below. :type redirect_uri: str :param state: An unguessable random string. It is used to protect against cross-site request forgery attacks. :type state: str For example, if we wanted to use this method to get read/write access to user profile information, in addition to read-write access to code, commit status, etc., we would need to use the `Scopes`_ ``user`` and ``repo`` when calling this method. .. code-block:: python github.authorize(scope="user,repo") Additionally, if we wanted to specify a different redirect URL following authorization. .. code-block:: python # Our application's callback URL is "http://example.com/callback" redirect_uri="http://example.com/callback/my/path" github.authorize(scope="user,repo", redirect_uri=redirect_uri) .. _Scopes: https://developer.github.com/v3/oauth/#scopes .. _Redirect URL: https://developer.github.com/v3/oauth/#redirect-urls
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train
https://github.com/cenkalti/github-flask/blob/9f58d61b7d328cef857edbb5c64a5d3f716367cb/flask_github.py#L104-L168
cenkalti/github-flask
flask_github.py
GitHub.authorized_handler
def authorized_handler(self, f): """ Decorator for the route that is used as the callback for authorizing with GitHub. This callback URL can be set in the settings for the app or passed in during authorization. """ @wraps(f) def decorated(*args, **kwargs): if 'code' in request.args: data = self._handle_response() else: data = self._handle_invalid_response() return f(*((data,) + args), **kwargs) return decorated
python
def authorized_handler(self, f): @wraps(f) def decorated(*args, **kwargs): if 'code' in request.args: data = self._handle_response() else: data = self._handle_invalid_response() return f(*((data,) + args), **kwargs) return decorated
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Decorator for the route that is used as the callback for authorizing with GitHub. This callback URL can be set in the settings for the app or passed in during authorization.
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train
https://github.com/cenkalti/github-flask/blob/9f58d61b7d328cef857edbb5c64a5d3f716367cb/flask_github.py#L170-L184
cenkalti/github-flask
flask_github.py
GitHub._handle_response
def _handle_response(self): """ Handles response after the redirect to GitHub. This response determines if the user has allowed the this application access. If we were then we send a POST request for the access_key used to authenticate requests to GitHub. """ _logger.debug("Handling response from GitHub") params = { 'code': request.args.get('code'), 'client_id': self.client_id, 'client_secret': self.client_secret } url = self.auth_url + 'access_token' _logger.debug("POSTing to %s", url) _logger.debug(params) response = self.session.post(url, data=params) data = parse_qs(response.content) _logger.debug("response.content = %s", data) for k, v in data.items(): if len(v) == 1: data[k] = v[0] token = data.get(b'access_token', None) if token is not None: token = token.decode('ascii') return token
python
def _handle_response(self): _logger.debug("Handling response from GitHub") params = { 'code': request.args.get('code'), 'client_id': self.client_id, 'client_secret': self.client_secret } url = self.auth_url + 'access_token' _logger.debug("POSTing to %s", url) _logger.debug(params) response = self.session.post(url, data=params) data = parse_qs(response.content) _logger.debug("response.content = %s", data) for k, v in data.items(): if len(v) == 1: data[k] = v[0] token = data.get(b'access_token', None) if token is not None: token = token.decode('ascii') return token
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Handles response after the redirect to GitHub. This response determines if the user has allowed the this application access. If we were then we send a POST request for the access_key used to authenticate requests to GitHub.
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train
https://github.com/cenkalti/github-flask/blob/9f58d61b7d328cef857edbb5c64a5d3f716367cb/flask_github.py#L186-L212
cenkalti/github-flask
flask_github.py
GitHub.raw_request
def raw_request(self, method, resource, access_token=None, **kwargs): """ Makes a HTTP request and returns the raw :class:`~requests.Response` object. """ headers = self._pop_headers(kwargs) headers['Authorization'] = self._get_authorization_header(access_token) url = self._get_resource_url(resource) return self.session.request(method, url, allow_redirects=True, headers=headers, **kwargs)
python
def raw_request(self, method, resource, access_token=None, **kwargs): headers = self._pop_headers(kwargs) headers['Authorization'] = self._get_authorization_header(access_token) url = self._get_resource_url(resource) return self.session.request(method, url, allow_redirects=True, headers=headers, **kwargs)
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Makes a HTTP request and returns the raw :class:`~requests.Response` object.
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train
https://github.com/cenkalti/github-flask/blob/9f58d61b7d328cef857edbb5c64a5d3f716367cb/flask_github.py#L217-L226
cenkalti/github-flask
flask_github.py
GitHub.request
def request(self, method, resource, all_pages=False, **kwargs): """ Makes a request to the given endpoint. Keyword arguments are passed to the :meth:`~requests.request` method. If the content type of the response is JSON, it will be decoded automatically and a dictionary will be returned. Otherwise the :class:`~requests.Response` object is returned. """ response = self.raw_request(method, resource, **kwargs) if not is_valid_response(response): raise GitHubError(response) if is_json_response(response): result = response.json() while all_pages and response.links.get('next'): url = response.links['next']['url'] response = self.raw_request(method, url, **kwargs) if not is_valid_response(response) or \ not is_json_response(response): raise GitHubError(response) body = response.json() if isinstance(body, list): result += body elif isinstance(body, dict) and 'items' in body: result['items'] += body['items'] else: raise GitHubError(response) return result else: return response
python
def request(self, method, resource, all_pages=False, **kwargs): response = self.raw_request(method, resource, **kwargs) if not is_valid_response(response): raise GitHubError(response) if is_json_response(response): result = response.json() while all_pages and response.links.get('next'): url = response.links['next']['url'] response = self.raw_request(method, url, **kwargs) if not is_valid_response(response) or \ not is_json_response(response): raise GitHubError(response) body = response.json() if isinstance(body, list): result += body elif isinstance(body, dict) and 'items' in body: result['items'] += body['items'] else: raise GitHubError(response) return result else: return response
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Makes a request to the given endpoint. Keyword arguments are passed to the :meth:`~requests.request` method. If the content type of the response is JSON, it will be decoded automatically and a dictionary will be returned. Otherwise the :class:`~requests.Response` object is returned.
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train
https://github.com/cenkalti/github-flask/blob/9f58d61b7d328cef857edbb5c64a5d3f716367cb/flask_github.py#L250-L281
cenkalti/github-flask
flask_github.py
GitHub.get
def get(self, resource, params=None, **kwargs): """Shortcut for ``request('GET', resource)``.""" return self.request('GET', resource, params=params, **kwargs)
python
def get(self, resource, params=None, **kwargs): return self.request('GET', resource, params=params, **kwargs)
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Shortcut for ``request('GET', resource)``.
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train
https://github.com/cenkalti/github-flask/blob/9f58d61b7d328cef857edbb5c64a5d3f716367cb/flask_github.py#L283-L285
cenkalti/github-flask
flask_github.py
GitHub.post
def post(self, resource, data=None, **kwargs): """Shortcut for ``request('POST', resource)``. Use this to make POST request since it will also encode ``data`` to 'application/json' format.""" headers = dict(kwargs.pop('headers', {})) headers.setdefault('Content-Type', 'application/json') data = json.dumps(data) return self.request('POST', resource, headers=headers, data=data, **kwargs)
python
def post(self, resource, data=None, **kwargs): headers = dict(kwargs.pop('headers', {})) headers.setdefault('Content-Type', 'application/json') data = json.dumps(data) return self.request('POST', resource, headers=headers, data=data, **kwargs)
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Shortcut for ``request('POST', resource)``. Use this to make POST request since it will also encode ``data`` to 'application/json' format.
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train
https://github.com/cenkalti/github-flask/blob/9f58d61b7d328cef857edbb5c64a5d3f716367cb/flask_github.py#L287-L295
ethereum/pyrlp
rlp/lazy.py
decode_lazy
def decode_lazy(rlp, sedes=None, **sedes_kwargs): """Decode an RLP encoded object in a lazy fashion. If the encoded object is a bytestring, this function acts similar to :func:`rlp.decode`. If it is a list however, a :class:`LazyList` is returned instead. This object will decode the string lazily, avoiding both horizontal and vertical traversing as much as possible. The way `sedes` is applied depends on the decoded object: If it is a string `sedes` deserializes it as a whole; if it is a list, each element is deserialized individually. In both cases, `sedes_kwargs` are passed on. Note that, if a deserializer is used, only "horizontal" but not "vertical lazyness" can be preserved. :param rlp: the RLP string to decode :param sedes: an object implementing a method ``deserialize(code)`` which is used as described above, or ``None`` if no deserialization should be performed :param \*\*sedes_kwargs: additional keyword arguments that will be passed to the deserializers :returns: either the already decoded and deserialized object (if encoded as a string) or an instance of :class:`rlp.LazyList` """ item, end = consume_item_lazy(rlp, 0) if end != len(rlp): raise DecodingError('RLP length prefix announced wrong length', rlp) if isinstance(item, LazyList): item.sedes = sedes item.sedes_kwargs = sedes_kwargs return item elif sedes: return sedes.deserialize(item, **sedes_kwargs) else: return item
python
def decode_lazy(rlp, sedes=None, **sedes_kwargs): item, end = consume_item_lazy(rlp, 0) if end != len(rlp): raise DecodingError('RLP length prefix announced wrong length', rlp) if isinstance(item, LazyList): item.sedes = sedes item.sedes_kwargs = sedes_kwargs return item elif sedes: return sedes.deserialize(item, **sedes_kwargs) else: return item
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Decode an RLP encoded object in a lazy fashion. If the encoded object is a bytestring, this function acts similar to :func:`rlp.decode`. If it is a list however, a :class:`LazyList` is returned instead. This object will decode the string lazily, avoiding both horizontal and vertical traversing as much as possible. The way `sedes` is applied depends on the decoded object: If it is a string `sedes` deserializes it as a whole; if it is a list, each element is deserialized individually. In both cases, `sedes_kwargs` are passed on. Note that, if a deserializer is used, only "horizontal" but not "vertical lazyness" can be preserved. :param rlp: the RLP string to decode :param sedes: an object implementing a method ``deserialize(code)`` which is used as described above, or ``None`` if no deserialization should be performed :param \*\*sedes_kwargs: additional keyword arguments that will be passed to the deserializers :returns: either the already decoded and deserialized object (if encoded as a string) or an instance of :class:`rlp.LazyList`
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train
https://github.com/ethereum/pyrlp/blob/bb898f8056da3973204c699621350bf9565e43df/rlp/lazy.py#L8-L41
ethereum/pyrlp
rlp/lazy.py
consume_item_lazy
def consume_item_lazy(rlp, start): """Read an item from an RLP string lazily. If the length prefix announces a string, the string is read; if it announces a list, a :class:`LazyList` is created. :param rlp: the rlp string to read from :param start: the position at which to start reading :returns: a tuple ``(item, end)`` where ``item`` is the read string or a :class:`LazyList` and ``end`` is the position of the first unprocessed byte. """ p, t, l, s = consume_length_prefix(rlp, start) if t is bytes: item, _, end = consume_payload(rlp, p, s, bytes, l) return item, end else: assert t is list return LazyList(rlp, s, s + l), s + l
python
def consume_item_lazy(rlp, start): p, t, l, s = consume_length_prefix(rlp, start) if t is bytes: item, _, end = consume_payload(rlp, p, s, bytes, l) return item, end else: assert t is list return LazyList(rlp, s, s + l), s + l
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Read an item from an RLP string lazily. If the length prefix announces a string, the string is read; if it announces a list, a :class:`LazyList` is created. :param rlp: the rlp string to read from :param start: the position at which to start reading :returns: a tuple ``(item, end)`` where ``item`` is the read string or a :class:`LazyList` and ``end`` is the position of the first unprocessed byte.
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train
https://github.com/ethereum/pyrlp/blob/bb898f8056da3973204c699621350bf9565e43df/rlp/lazy.py#L44-L62
ethereum/pyrlp
rlp/lazy.py
peek
def peek(rlp, index, sedes=None): """Get a specific element from an rlp encoded nested list. This function uses :func:`rlp.decode_lazy` and, thus, decodes only the necessary parts of the string. Usage example:: >>> import rlp >>> rlpdata = rlp.encode([1, 2, [3, [4, 5]]]) >>> rlp.peek(rlpdata, 0, rlp.sedes.big_endian_int) 1 >>> rlp.peek(rlpdata, [2, 0], rlp.sedes.big_endian_int) 3 :param rlp: the rlp string :param index: the index of the element to peek at (can be a list for nested data) :param sedes: a sedes used to deserialize the peeked at object, or `None` if no deserialization should be performed :raises: :exc:`IndexError` if `index` is invalid (out of range or too many levels) """ ll = decode_lazy(rlp) if not isinstance(index, Iterable): index = [index] for i in index: if isinstance(ll, Atomic): raise IndexError('Too many indices given') ll = ll[i] if sedes: return sedes.deserialize(ll) else: return ll
python
def peek(rlp, index, sedes=None): ll = decode_lazy(rlp) if not isinstance(index, Iterable): index = [index] for i in index: if isinstance(ll, Atomic): raise IndexError('Too many indices given') ll = ll[i] if sedes: return sedes.deserialize(ll) else: return ll
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Get a specific element from an rlp encoded nested list. This function uses :func:`rlp.decode_lazy` and, thus, decodes only the necessary parts of the string. Usage example:: >>> import rlp >>> rlpdata = rlp.encode([1, 2, [3, [4, 5]]]) >>> rlp.peek(rlpdata, 0, rlp.sedes.big_endian_int) 1 >>> rlp.peek(rlpdata, [2, 0], rlp.sedes.big_endian_int) 3 :param rlp: the rlp string :param index: the index of the element to peek at (can be a list for nested data) :param sedes: a sedes used to deserialize the peeked at object, or `None` if no deserialization should be performed :raises: :exc:`IndexError` if `index` is invalid (out of range or too many levels)
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train
https://github.com/ethereum/pyrlp/blob/bb898f8056da3973204c699621350bf9565e43df/rlp/lazy.py#L138-L171
ethereum/pyrlp
rlp/sedes/text.py
Text.fixed_length
def fixed_length(cls, l, allow_empty=False): """Create a sedes for text data with exactly `l` encoded characters.""" return cls(l, l, allow_empty=allow_empty)
python
def fixed_length(cls, l, allow_empty=False): return cls(l, l, allow_empty=allow_empty)
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Create a sedes for text data with exactly `l` encoded characters.
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train
https://github.com/ethereum/pyrlp/blob/bb898f8056da3973204c699621350bf9565e43df/rlp/sedes/text.py#L24-L26
ethereum/pyrlp
rlp/sedes/serializable.py
_eq
def _eq(left, right): """ Equality comparison that allows for equality between tuple and list types with equivalent elements. """ if isinstance(left, (tuple, list)) and isinstance(right, (tuple, list)): return len(left) == len(right) and all(_eq(*pair) for pair in zip(left, right)) else: return left == right
python
def _eq(left, right): if isinstance(left, (tuple, list)) and isinstance(right, (tuple, list)): return len(left) == len(right) and all(_eq(*pair) for pair in zip(left, right)) else: return left == right
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Equality comparison that allows for equality between tuple and list types with equivalent elements.
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train
https://github.com/ethereum/pyrlp/blob/bb898f8056da3973204c699621350bf9565e43df/rlp/sedes/serializable.py#L82-L90
ethereum/pyrlp
rlp/sedes/lists.py
is_sequence
def is_sequence(obj): """Check if `obj` is a sequence, but not a string or bytes.""" return isinstance(obj, Sequence) and not ( isinstance(obj, str) or BinaryClass.is_valid_type(obj))
python
def is_sequence(obj): return isinstance(obj, Sequence) and not ( isinstance(obj, str) or BinaryClass.is_valid_type(obj))
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Check if `obj` is a sequence, but not a string or bytes.
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train
https://github.com/ethereum/pyrlp/blob/bb898f8056da3973204c699621350bf9565e43df/rlp/sedes/lists.py#L32-L35
ethereum/pyrlp
rlp/codec.py
encode
def encode(obj, sedes=None, infer_serializer=True, cache=True): """Encode a Python object in RLP format. By default, the object is serialized in a suitable way first (using :func:`rlp.infer_sedes`) and then encoded. Serialization can be explicitly suppressed by setting `infer_serializer` to ``False`` and not passing an alternative as `sedes`. If `obj` has an attribute :attr:`_cached_rlp` (as, notably, :class:`rlp.Serializable`) and its value is not `None`, this value is returned bypassing serialization and encoding, unless `sedes` is given (as the cache is assumed to refer to the standard serialization which can be replaced by specifying `sedes`). If `obj` is a :class:`rlp.Serializable` and `cache` is true, the result of the encoding will be stored in :attr:`_cached_rlp` if it is empty. :param sedes: an object implementing a function ``serialize(obj)`` which will be used to serialize ``obj`` before encoding, or ``None`` to use the infered one (if any) :param infer_serializer: if ``True`` an appropriate serializer will be selected using :func:`rlp.infer_sedes` to serialize `obj` before encoding :param cache: cache the return value in `obj._cached_rlp` if possible (default `True`) :returns: the RLP encoded item :raises: :exc:`rlp.EncodingError` in the rather unlikely case that the item is too big to encode (will not happen) :raises: :exc:`rlp.SerializationError` if the serialization fails """ if isinstance(obj, Serializable): cached_rlp = obj._cached_rlp if sedes is None and cached_rlp: return cached_rlp else: really_cache = ( cache and sedes is None ) else: really_cache = False if sedes: item = sedes.serialize(obj) elif infer_serializer: item = infer_sedes(obj).serialize(obj) else: item = obj result = encode_raw(item) if really_cache: obj._cached_rlp = result return result
python
def encode(obj, sedes=None, infer_serializer=True, cache=True): if isinstance(obj, Serializable): cached_rlp = obj._cached_rlp if sedes is None and cached_rlp: return cached_rlp else: really_cache = ( cache and sedes is None ) else: really_cache = False if sedes: item = sedes.serialize(obj) elif infer_serializer: item = infer_sedes(obj).serialize(obj) else: item = obj result = encode_raw(item) if really_cache: obj._cached_rlp = result return result
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Encode a Python object in RLP format. By default, the object is serialized in a suitable way first (using :func:`rlp.infer_sedes`) and then encoded. Serialization can be explicitly suppressed by setting `infer_serializer` to ``False`` and not passing an alternative as `sedes`. If `obj` has an attribute :attr:`_cached_rlp` (as, notably, :class:`rlp.Serializable`) and its value is not `None`, this value is returned bypassing serialization and encoding, unless `sedes` is given (as the cache is assumed to refer to the standard serialization which can be replaced by specifying `sedes`). If `obj` is a :class:`rlp.Serializable` and `cache` is true, the result of the encoding will be stored in :attr:`_cached_rlp` if it is empty. :param sedes: an object implementing a function ``serialize(obj)`` which will be used to serialize ``obj`` before encoding, or ``None`` to use the infered one (if any) :param infer_serializer: if ``True`` an appropriate serializer will be selected using :func:`rlp.infer_sedes` to serialize `obj` before encoding :param cache: cache the return value in `obj._cached_rlp` if possible (default `True`) :returns: the RLP encoded item :raises: :exc:`rlp.EncodingError` in the rather unlikely case that the item is too big to encode (will not happen) :raises: :exc:`rlp.SerializationError` if the serialization fails
[ "Encode", "a", "Python", "object", "in", "RLP", "format", "." ]
train
https://github.com/ethereum/pyrlp/blob/bb898f8056da3973204c699621350bf9565e43df/rlp/codec.py#L20-L70
ethereum/pyrlp
rlp/codec.py
encode_raw
def encode_raw(item): """RLP encode (a nested sequence of) :class:`Atomic`s.""" if isinstance(item, Atomic): if len(item) == 1 and item[0] < 128: return item payload = item prefix_offset = 128 # string elif not isinstance(item, str) and isinstance(item, collections.Sequence): payload = b''.join(encode_raw(x) for x in item) prefix_offset = 192 # list else: msg = 'Cannot encode object of type {0}'.format(type(item).__name__) raise EncodingError(msg, item) try: prefix = length_prefix(len(payload), prefix_offset) except ValueError: raise EncodingError('Item too big to encode', item) return prefix + payload
python
def encode_raw(item): if isinstance(item, Atomic): if len(item) == 1 and item[0] < 128: return item payload = item prefix_offset = 128 elif not isinstance(item, str) and isinstance(item, collections.Sequence): payload = b''.join(encode_raw(x) for x in item) prefix_offset = 192 else: msg = 'Cannot encode object of type {0}'.format(type(item).__name__) raise EncodingError(msg, item) try: prefix = length_prefix(len(payload), prefix_offset) except ValueError: raise EncodingError('Item too big to encode', item) return prefix + payload
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RLP encode (a nested sequence of) :class:`Atomic`s.
[ "RLP", "encode", "(", "a", "nested", "sequence", "of", ")", ":", "class", ":", "Atomic", "s", "." ]
train
https://github.com/ethereum/pyrlp/blob/bb898f8056da3973204c699621350bf9565e43df/rlp/codec.py#L73-L92
ethereum/pyrlp
rlp/codec.py
length_prefix
def length_prefix(length, offset): """Construct the prefix to lists or strings denoting their length. :param length: the length of the item in bytes :param offset: ``0x80`` when encoding raw bytes, ``0xc0`` when encoding a list """ if length < 56: return ALL_BYTES[offset + length] elif length < LONG_LENGTH: length_string = int_to_big_endian(length) return ALL_BYTES[offset + 56 - 1 + len(length_string)] + length_string else: raise ValueError('Length greater than 256**8')
python
def length_prefix(length, offset): if length < 56: return ALL_BYTES[offset + length] elif length < LONG_LENGTH: length_string = int_to_big_endian(length) return ALL_BYTES[offset + 56 - 1 + len(length_string)] + length_string else: raise ValueError('Length greater than 256**8')
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Construct the prefix to lists or strings denoting their length. :param length: the length of the item in bytes :param offset: ``0x80`` when encoding raw bytes, ``0xc0`` when encoding a list
[ "Construct", "the", "prefix", "to", "lists", "or", "strings", "denoting", "their", "length", "." ]
train
https://github.com/ethereum/pyrlp/blob/bb898f8056da3973204c699621350bf9565e43df/rlp/codec.py#L98-L111
ethereum/pyrlp
rlp/codec.py
consume_length_prefix
def consume_length_prefix(rlp, start): """Read a length prefix from an RLP string. :param rlp: the rlp byte string to read from :param start: the position at which to start reading :returns: a tuple ``(prefix, type, length, end)``, where ``type`` is either ``str`` or ``list`` depending on the type of the following payload, ``length`` is the length of the payload in bytes, and ``end`` is the position of the first payload byte in the rlp string """ b0 = rlp[start] if b0 < 128: # single byte return (b'', bytes, 1, start) elif b0 < SHORT_STRING: # short string if b0 - 128 == 1 and rlp[start + 1] < 128: raise DecodingError('Encoded as short string although single byte was possible', rlp) return (rlp[start:start + 1], bytes, b0 - 128, start + 1) elif b0 < 192: # long string ll = b0 - 183 # - (128 + 56 - 1) if rlp[start + 1:start + 2] == b'\x00': raise DecodingError('Length starts with zero bytes', rlp) len_prefix = rlp[start + 1:start + 1 + ll] l = big_endian_to_int(len_prefix) # noqa: E741 if l < 56: raise DecodingError('Long string prefix used for short string', rlp) return (rlp[start:start + 1] + len_prefix, bytes, l, start + 1 + ll) elif b0 < 192 + 56: # short list return (rlp[start:start + 1], list, b0 - 192, start + 1) else: # long list ll = b0 - 192 - 56 + 1 if rlp[start + 1:start + 2] == b'\x00': raise DecodingError('Length starts with zero bytes', rlp) len_prefix = rlp[start + 1:start + 1 + ll] l = big_endian_to_int(len_prefix) # noqa: E741 if l < 56: raise DecodingError('Long list prefix used for short list', rlp) return (rlp[start:start + 1] + len_prefix, list, l, start + 1 + ll)
python
def consume_length_prefix(rlp, start): b0 = rlp[start] if b0 < 128: return (b'', bytes, 1, start) elif b0 < SHORT_STRING: if b0 - 128 == 1 and rlp[start + 1] < 128: raise DecodingError('Encoded as short string although single byte was possible', rlp) return (rlp[start:start + 1], bytes, b0 - 128, start + 1) elif b0 < 192: ll = b0 - 183 if rlp[start + 1:start + 2] == b'\x00': raise DecodingError('Length starts with zero bytes', rlp) len_prefix = rlp[start + 1:start + 1 + ll] l = big_endian_to_int(len_prefix) if l < 56: raise DecodingError('Long string prefix used for short string', rlp) return (rlp[start:start + 1] + len_prefix, bytes, l, start + 1 + ll) elif b0 < 192 + 56: return (rlp[start:start + 1], list, b0 - 192, start + 1) else: ll = b0 - 192 - 56 + 1 if rlp[start + 1:start + 2] == b'\x00': raise DecodingError('Length starts with zero bytes', rlp) len_prefix = rlp[start + 1:start + 1 + ll] l = big_endian_to_int(len_prefix) if l < 56: raise DecodingError('Long list prefix used for short list', rlp) return (rlp[start:start + 1] + len_prefix, list, l, start + 1 + ll)
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Read a length prefix from an RLP string. :param rlp: the rlp byte string to read from :param start: the position at which to start reading :returns: a tuple ``(prefix, type, length, end)``, where ``type`` is either ``str`` or ``list`` depending on the type of the following payload, ``length`` is the length of the payload in bytes, and ``end`` is the position of the first payload byte in the rlp string
[ "Read", "a", "length", "prefix", "from", "an", "RLP", "string", "." ]
train
https://github.com/ethereum/pyrlp/blob/bb898f8056da3973204c699621350bf9565e43df/rlp/codec.py#L117-L153
ethereum/pyrlp
rlp/codec.py
consume_payload
def consume_payload(rlp, prefix, start, type_, length): """Read the payload of an item from an RLP string. :param rlp: the rlp string to read from :param type_: the type of the payload (``bytes`` or ``list``) :param start: the position at which to start reading :param length: the length of the payload in bytes :returns: a tuple ``(item, per_item_rlp, end)``, where ``item`` is the read item, per_item_rlp is a list containing the RLP encoding of each item and ``end`` is the position of the first unprocessed byte """ if type_ is bytes: item = rlp[start: start + length] return (item, [prefix + item], start + length) elif type_ is list: items = [] per_item_rlp = [] list_rlp = prefix next_item_start = start end = next_item_start + length while next_item_start < end: p, t, l, s = consume_length_prefix(rlp, next_item_start) item, item_rlp, next_item_start = consume_payload(rlp, p, s, t, l) per_item_rlp.append(item_rlp) # When the item returned above is a single element, item_rlp will also contain a # single element, but when it's a list, the first element will be the RLP of the # whole List, which is what we want here. list_rlp += item_rlp[0] items.append(item) per_item_rlp.insert(0, list_rlp) if next_item_start > end: raise DecodingError('List length prefix announced a too small ' 'length', rlp) return (items, per_item_rlp, next_item_start) else: raise TypeError('Type must be either list or bytes')
python
def consume_payload(rlp, prefix, start, type_, length): if type_ is bytes: item = rlp[start: start + length] return (item, [prefix + item], start + length) elif type_ is list: items = [] per_item_rlp = [] list_rlp = prefix next_item_start = start end = next_item_start + length while next_item_start < end: p, t, l, s = consume_length_prefix(rlp, next_item_start) item, item_rlp, next_item_start = consume_payload(rlp, p, s, t, l) per_item_rlp.append(item_rlp) list_rlp += item_rlp[0] items.append(item) per_item_rlp.insert(0, list_rlp) if next_item_start > end: raise DecodingError('List length prefix announced a too small ' 'length', rlp) return (items, per_item_rlp, next_item_start) else: raise TypeError('Type must be either list or bytes')
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Read the payload of an item from an RLP string. :param rlp: the rlp string to read from :param type_: the type of the payload (``bytes`` or ``list``) :param start: the position at which to start reading :param length: the length of the payload in bytes :returns: a tuple ``(item, per_item_rlp, end)``, where ``item`` is the read item, per_item_rlp is a list containing the RLP encoding of each item and ``end`` is the position of the first unprocessed byte
[ "Read", "the", "payload", "of", "an", "item", "from", "an", "RLP", "string", "." ]
train
https://github.com/ethereum/pyrlp/blob/bb898f8056da3973204c699621350bf9565e43df/rlp/codec.py#L156-L192
ethereum/pyrlp
rlp/codec.py
consume_item
def consume_item(rlp, start): """Read an item from an RLP string. :param rlp: the rlp string to read from :param start: the position at which to start reading :returns: a tuple ``(item, per_item_rlp, end)``, where ``item`` is the read item, per_item_rlp is a list containing the RLP encoding of each item and ``end`` is the position of the first unprocessed byte """ p, t, l, s = consume_length_prefix(rlp, start) return consume_payload(rlp, p, s, t, l)
python
def consume_item(rlp, start): p, t, l, s = consume_length_prefix(rlp, start) return consume_payload(rlp, p, s, t, l)
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Read an item from an RLP string. :param rlp: the rlp string to read from :param start: the position at which to start reading :returns: a tuple ``(item, per_item_rlp, end)``, where ``item`` is the read item, per_item_rlp is a list containing the RLP encoding of each item and ``end`` is the position of the first unprocessed byte
[ "Read", "an", "item", "from", "an", "RLP", "string", "." ]
train
https://github.com/ethereum/pyrlp/blob/bb898f8056da3973204c699621350bf9565e43df/rlp/codec.py#L195-L206
ethereum/pyrlp
rlp/codec.py
decode
def decode(rlp, sedes=None, strict=True, recursive_cache=False, **kwargs): """Decode an RLP encoded object. If the deserialized result `obj` has an attribute :attr:`_cached_rlp` (e.g. if `sedes` is a subclass of :class:`rlp.Serializable`) it will be set to `rlp`, which will improve performance on subsequent :func:`rlp.encode` calls. Bear in mind however that `obj` needs to make sure that this value is updated whenever one of its fields changes or prevent such changes entirely (:class:`rlp.sedes.Serializable` does the latter). :param sedes: an object implementing a function ``deserialize(code)`` which will be applied after decoding, or ``None`` if no deserialization should be performed :param \*\*kwargs: additional keyword arguments that will be passed to the deserializer :param strict: if false inputs that are longer than necessary don't cause an exception :returns: the decoded and maybe deserialized Python object :raises: :exc:`rlp.DecodingError` if the input string does not end after the root item and `strict` is true :raises: :exc:`rlp.DeserializationError` if the deserialization fails """ if not is_bytes(rlp): raise DecodingError('Can only decode RLP bytes, got type %s' % type(rlp).__name__, rlp) try: item, per_item_rlp, end = consume_item(rlp, 0) except IndexError: raise DecodingError('RLP string too short', rlp) if end != len(rlp) and strict: msg = 'RLP string ends with {} superfluous bytes'.format(len(rlp) - end) raise DecodingError(msg, rlp) if sedes: obj = sedes.deserialize(item, **kwargs) if is_sequence(obj) or hasattr(obj, '_cached_rlp'): _apply_rlp_cache(obj, per_item_rlp, recursive_cache) return obj else: return item
python
def decode(rlp, sedes=None, strict=True, recursive_cache=False, **kwargs): if not is_bytes(rlp): raise DecodingError('Can only decode RLP bytes, got type %s' % type(rlp).__name__, rlp) try: item, per_item_rlp, end = consume_item(rlp, 0) except IndexError: raise DecodingError('RLP string too short', rlp) if end != len(rlp) and strict: msg = 'RLP string ends with {} superfluous bytes'.format(len(rlp) - end) raise DecodingError(msg, rlp) if sedes: obj = sedes.deserialize(item, **kwargs) if is_sequence(obj) or hasattr(obj, '_cached_rlp'): _apply_rlp_cache(obj, per_item_rlp, recursive_cache) return obj else: return item
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train
https://github.com/ethereum/pyrlp/blob/bb898f8056da3973204c699621350bf9565e43df/rlp/codec.py#L209-L242
ethereum/pyrlp
rlp/codec.py
infer_sedes
def infer_sedes(obj): """Try to find a sedes objects suitable for a given Python object. The sedes objects considered are `obj`'s class, `big_endian_int` and `binary`. If `obj` is a sequence, a :class:`rlp.sedes.List` will be constructed recursively. :param obj: the python object for which to find a sedes object :raises: :exc:`TypeError` if no appropriate sedes could be found """ if is_sedes(obj.__class__): return obj.__class__ elif not isinstance(obj, bool) and isinstance(obj, int) and obj >= 0: return big_endian_int elif BinaryClass.is_valid_type(obj): return binary elif not isinstance(obj, str) and isinstance(obj, collections.Sequence): return List(map(infer_sedes, obj)) elif isinstance(obj, bool): return boolean elif isinstance(obj, str): return text msg = 'Did not find sedes handling type {}'.format(type(obj).__name__) raise TypeError(msg)
python
def infer_sedes(obj): if is_sedes(obj.__class__): return obj.__class__ elif not isinstance(obj, bool) and isinstance(obj, int) and obj >= 0: return big_endian_int elif BinaryClass.is_valid_type(obj): return binary elif not isinstance(obj, str) and isinstance(obj, collections.Sequence): return List(map(infer_sedes, obj)) elif isinstance(obj, bool): return boolean elif isinstance(obj, str): return text msg = 'Did not find sedes handling type {}'.format(type(obj).__name__) raise TypeError(msg)
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train
https://github.com/ethereum/pyrlp/blob/bb898f8056da3973204c699621350bf9565e43df/rlp/codec.py#L261-L284
graphite-project/carbonate
carbonate/config.py
Config.destinations
def destinations(self, cluster='main'): """Return a list of destinations for a cluster.""" if not self.config.has_section(cluster): raise SystemExit("Cluster '%s' not defined in %s" % (cluster, self.config_file)) destinations = self.config.get(cluster, 'destinations') return destinations.replace(' ', '').split(',')
python
def destinations(self, cluster='main'): if not self.config.has_section(cluster): raise SystemExit("Cluster '%s' not defined in %s" % (cluster, self.config_file)) destinations = self.config.get(cluster, 'destinations') return destinations.replace(' ', '').split(',')
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Return a list of destinations for a cluster.
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train
https://github.com/graphite-project/carbonate/blob/b876a85b321fbd7c18a6721bed2e7807b79b4929/carbonate/config.py#L21-L27
graphite-project/carbonate
carbonate/config.py
Config.replication_factor
def replication_factor(self, cluster='main'): """Return the replication factor for a cluster as an integer.""" if not self.config.has_section(cluster): raise SystemExit("Cluster '%s' not defined in %s" % (cluster, self.config_file)) return int(self.config.get(cluster, 'replication_factor'))
python
def replication_factor(self, cluster='main'): if not self.config.has_section(cluster): raise SystemExit("Cluster '%s' not defined in %s" % (cluster, self.config_file)) return int(self.config.get(cluster, 'replication_factor'))
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Return the replication factor for a cluster as an integer.
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train
https://github.com/graphite-project/carbonate/blob/b876a85b321fbd7c18a6721bed2e7807b79b4929/carbonate/config.py#L29-L34
graphite-project/carbonate
carbonate/config.py
Config.ssh_user
def ssh_user(self, cluster='main'): """Return the ssh user for a cluster or current user if undefined.""" if not self.config.has_section(cluster): raise SystemExit("Cluster '%s' not defined in %s" % (cluster, self.config_file)) try: return self.config.get(cluster, 'ssh_user') except NoOptionError: return pwd.getpwuid(os.getuid()).pw_name
python
def ssh_user(self, cluster='main'): if not self.config.has_section(cluster): raise SystemExit("Cluster '%s' not defined in %s" % (cluster, self.config_file)) try: return self.config.get(cluster, 'ssh_user') except NoOptionError: return pwd.getpwuid(os.getuid()).pw_name
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Return the ssh user for a cluster or current user if undefined.
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train
https://github.com/graphite-project/carbonate/blob/b876a85b321fbd7c18a6721bed2e7807b79b4929/carbonate/config.py#L36-L44
graphite-project/carbonate
carbonate/config.py
Config.whisper_lock_writes
def whisper_lock_writes(self, cluster='main'): """Lock whisper files during carbon-sync.""" if not self.config.has_section(cluster): raise SystemExit("Cluster '%s' not defined in %s" % (cluster, self.config_file)) try: return bool(self.config.get(cluster, 'whisper_lock_writes')) except NoOptionError: return False
python
def whisper_lock_writes(self, cluster='main'): if not self.config.has_section(cluster): raise SystemExit("Cluster '%s' not defined in %s" % (cluster, self.config_file)) try: return bool(self.config.get(cluster, 'whisper_lock_writes')) except NoOptionError: return False
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Lock whisper files during carbon-sync.
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train
https://github.com/graphite-project/carbonate/blob/b876a85b321fbd7c18a6721bed2e7807b79b4929/carbonate/config.py#L46-L54
graphite-project/carbonate
carbonate/config.py
Config.hashing_type
def hashing_type(self, cluster='main'): """Hashing type of cluster.""" if not self.config.has_section(cluster): raise SystemExit("Cluster '%s' not defined in %s" % (cluster, self.config_file)) hashing_type = 'carbon_ch' try: return self.config.get(cluster, 'hashing_type') except NoOptionError: return hashing_type
python
def hashing_type(self, cluster='main'): if not self.config.has_section(cluster): raise SystemExit("Cluster '%s' not defined in %s" % (cluster, self.config_file)) hashing_type = 'carbon_ch' try: return self.config.get(cluster, 'hashing_type') except NoOptionError: return hashing_type
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Hashing type of cluster.
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train
https://github.com/graphite-project/carbonate/blob/b876a85b321fbd7c18a6721bed2e7807b79b4929/carbonate/config.py#L56-L65
graphite-project/carbonate
carbonate/fill.py
fill_archives
def fill_archives(src, dst, startFrom, endAt=0, overwrite=False, lock_writes=False): """ Fills gaps in dst using data from src. src is the path as a string dst is the path as a string startFrom is the latest timestamp (archives are read backward) endAt is the earliest timestamp (archives are read backward). if absent, we take the earliest timestamp in the archive overwrite will write all non null points from src dst. lock using whisper lock if true """ if lock_writes is False: whisper.LOCK = False elif whisper.CAN_LOCK and lock_writes is True: whisper.LOCK = True header = whisper.info(dst) archives = header['archives'] archives = sorted(archives, key=lambda t: t['retention']) for archive in archives: fromTime = max(endAt, time.time() - archive['retention']) if fromTime >= startFrom: continue (timeInfo, values) = whisper.fetch(dst, fromTime, untilTime=startFrom) (start, end, step) = timeInfo gapstart = None for value in values: has_value = bool(value and not overwrite) if not has_value and not gapstart: gapstart = start elif has_value and gapstart: if (start - gapstart) >= archive['secondsPerPoint']: fill(src, dst, gapstart - step, start) gapstart = None start += step # fill if this gap continues to the end if gapstart: fill(src, dst, gapstart - step, end - step) # The next archive only needs to be filled up to the latest point # in time we updated. startFrom = fromTime
python
def fill_archives(src, dst, startFrom, endAt=0, overwrite=False, lock_writes=False): if lock_writes is False: whisper.LOCK = False elif whisper.CAN_LOCK and lock_writes is True: whisper.LOCK = True header = whisper.info(dst) archives = header['archives'] archives = sorted(archives, key=lambda t: t['retention']) for archive in archives: fromTime = max(endAt, time.time() - archive['retention']) if fromTime >= startFrom: continue (timeInfo, values) = whisper.fetch(dst, fromTime, untilTime=startFrom) (start, end, step) = timeInfo gapstart = None for value in values: has_value = bool(value and not overwrite) if not has_value and not gapstart: gapstart = start elif has_value and gapstart: if (start - gapstart) >= archive['secondsPerPoint']: fill(src, dst, gapstart - step, start) gapstart = None start += step if gapstart: fill(src, dst, gapstart - step, end - step) startFrom = fromTime
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train
https://github.com/graphite-project/carbonate/blob/b876a85b321fbd7c18a6721bed2e7807b79b4929/carbonate/fill.py#L88-L133
graphite-project/carbonate
carbonate/stale.py
data
def data(path, hours, offset=0): """ Does the metric at ``path`` have any whisper data newer than ``hours``? If ``offset`` is not None, view the ``hours`` prior to ``offset`` hours ago, instead of from right now. """ now = time.time() end = now - _to_sec(offset) # Will default to now start = end - _to_sec(hours) _data = whisper.fetch(path, start, end) return all(x is None for x in _data[-1])
python
def data(path, hours, offset=0): now = time.time() end = now - _to_sec(offset) start = end - _to_sec(hours) _data = whisper.fetch(path, start, end) return all(x is None for x in _data[-1])
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Does the metric at ``path`` have any whisper data newer than ``hours``? If ``offset`` is not None, view the ``hours`` prior to ``offset`` hours ago, instead of from right now.
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train
https://github.com/graphite-project/carbonate/blob/b876a85b321fbd7c18a6721bed2e7807b79b4929/carbonate/stale.py#L11-L22
graphite-project/carbonate
carbonate/stale.py
stat
def stat(path, hours, offset=None): """ Has the metric file at ``path`` been modified since ``hours`` ago? .. note:: ``offset`` is only for compatibility with ``data()`` and is ignored. """ return os.stat(path).st_mtime < (time.time() - _to_sec(hours))
python
def stat(path, hours, offset=None): return os.stat(path).st_mtime < (time.time() - _to_sec(hours))
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Has the metric file at ``path`` been modified since ``hours`` ago? .. note:: ``offset`` is only for compatibility with ``data()`` and is ignored.
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train
https://github.com/graphite-project/carbonate/blob/b876a85b321fbd7c18a6721bed2e7807b79b4929/carbonate/stale.py#L25-L32
holgern/pyedflib
util/refguide_check.py
short_path
def short_path(path, cwd=None): """ Return relative or absolute path name, whichever is shortest. """ if not isinstance(path, str): return path if cwd is None: cwd = os.getcwd() abspath = os.path.abspath(path) relpath = os.path.relpath(path, cwd) if len(abspath) <= len(relpath): return abspath return relpath
python
def short_path(path, cwd=None): if not isinstance(path, str): return path if cwd is None: cwd = os.getcwd() abspath = os.path.abspath(path) relpath = os.path.relpath(path, cwd) if len(abspath) <= len(relpath): return abspath return relpath
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Return relative or absolute path name, whichever is shortest.
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train
https://github.com/holgern/pyedflib/blob/0f787fc1202b84a6f30d098296acf72666eaeeb4/util/refguide_check.py#L74-L86
holgern/pyedflib
util/refguide_check.py
get_all_dict
def get_all_dict(module): """Return a copy of the __all__ dict with irrelevant items removed.""" if hasattr(module, "__all__"): all_dict = copy.deepcopy(module.__all__) else: all_dict = copy.deepcopy(dir(module)) all_dict = [name for name in all_dict if not name.startswith("_")] for name in ['absolute_import', 'division', 'print_function']: try: all_dict.remove(name) except ValueError: pass # Modules are almost always private; real submodules need a separate # run of refguide_check. all_dict = [name for name in all_dict if not inspect.ismodule(getattr(module, name, None))] deprecated = [] not_deprecated = [] for name in all_dict: f = getattr(module, name, None) if callable(f) and is_deprecated(f): deprecated.append(name) else: not_deprecated.append(name) others = set(dir(module)).difference(set(deprecated)).difference(set(not_deprecated)) return not_deprecated, deprecated, others
python
def get_all_dict(module): if hasattr(module, "__all__"): all_dict = copy.deepcopy(module.__all__) else: all_dict = copy.deepcopy(dir(module)) all_dict = [name for name in all_dict if not name.startswith("_")] for name in ['absolute_import', 'division', 'print_function']: try: all_dict.remove(name) except ValueError: pass all_dict = [name for name in all_dict if not inspect.ismodule(getattr(module, name, None))] deprecated = [] not_deprecated = [] for name in all_dict: f = getattr(module, name, None) if callable(f) and is_deprecated(f): deprecated.append(name) else: not_deprecated.append(name) others = set(dir(module)).difference(set(deprecated)).difference(set(not_deprecated)) return not_deprecated, deprecated, others
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train
https://github.com/holgern/pyedflib/blob/0f787fc1202b84a6f30d098296acf72666eaeeb4/util/refguide_check.py#L127-L157
holgern/pyedflib
util/refguide_check.py
compare
def compare(all_dict, others, names, module_name): """Return sets of objects only in __all__, refguide, or completely missing.""" only_all = set() for name in all_dict: if name not in names: only_all.add(name) only_ref = set() missing = set() for name in names: if name not in all_dict: for pat in REFGUIDE_ALL_SKIPLIST: if re.match(pat, module_name + '.' + name): if name not in others: missing.add(name) break else: only_ref.add(name) return only_all, only_ref, missing
python
def compare(all_dict, others, names, module_name): only_all = set() for name in all_dict: if name not in names: only_all.add(name) only_ref = set() missing = set() for name in names: if name not in all_dict: for pat in REFGUIDE_ALL_SKIPLIST: if re.match(pat, module_name + '.' + name): if name not in others: missing.add(name) break else: only_ref.add(name) return only_all, only_ref, missing
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Return sets of objects only in __all__, refguide, or completely missing.
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train
https://github.com/holgern/pyedflib/blob/0f787fc1202b84a6f30d098296acf72666eaeeb4/util/refguide_check.py#L160-L179
holgern/pyedflib
util/refguide_check.py
check_rest
def check_rest(module, names, dots=True): """ Check reStructuredText formatting of docstrings Returns: [(name, success_flag, output), ...] """ try: skip_types = (dict, str, unicode, float, int) except NameError: # python 3 skip_types = (dict, str, float, int) results = [] if module.__name__[6:] not in OTHER_MODULE_DOCS: results += [(module.__name__,) + validate_rst_syntax(inspect.getdoc(module), module.__name__, dots=dots)] for name in names: full_name = module.__name__ + '.' + name obj = getattr(module, name, None) if obj is None: results.append((full_name, False, "%s has no docstring" % (full_name,))) continue elif isinstance(obj, skip_types): continue if inspect.ismodule(obj): text = inspect.getdoc(obj) else: try: text = str(get_doc_object(obj)) except: import traceback results.append((full_name, False, "Error in docstring format!\n" + traceback.format_exc())) continue m = re.search("([\x00-\x09\x0b-\x1f])", text) if m: msg = ("Docstring contains a non-printable character %r! " "Maybe forgot r\"\"\"?" % (m.group(1),)) results.append((full_name, False, msg)) continue try: src_file = short_path(inspect.getsourcefile(obj)) except TypeError: src_file = None if src_file: file_full_name = src_file + ':' + full_name else: file_full_name = full_name results.append((full_name,) + validate_rst_syntax(text, file_full_name, dots=dots)) return results
python
def check_rest(module, names, dots=True): try: skip_types = (dict, str, unicode, float, int) except NameError: skip_types = (dict, str, float, int) results = [] if module.__name__[6:] not in OTHER_MODULE_DOCS: results += [(module.__name__,) + validate_rst_syntax(inspect.getdoc(module), module.__name__, dots=dots)] for name in names: full_name = module.__name__ + '.' + name obj = getattr(module, name, None) if obj is None: results.append((full_name, False, "%s has no docstring" % (full_name,))) continue elif isinstance(obj, skip_types): continue if inspect.ismodule(obj): text = inspect.getdoc(obj) else: try: text = str(get_doc_object(obj)) except: import traceback results.append((full_name, False, "Error in docstring format!\n" + traceback.format_exc())) continue m = re.search("([\x00-\x09\x0b-\x1f])", text) if m: msg = ("Docstring contains a non-printable character %r! " "Maybe forgot r\"\"\"?" % (m.group(1),)) results.append((full_name, False, msg)) continue try: src_file = short_path(inspect.getsourcefile(obj)) except TypeError: src_file = None if src_file: file_full_name = src_file + ':' + full_name else: file_full_name = full_name results.append((full_name,) + validate_rst_syntax(text, file_full_name, dots=dots)) return results
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train
https://github.com/holgern/pyedflib/blob/0f787fc1202b84a6f30d098296acf72666eaeeb4/util/refguide_check.py#L310-L372
holgern/pyedflib
pyedflib/edfwriter.py
EdfWriter.update_header
def update_header(self): """ Updates header to edffile struct """ set_technician(self.handle, du(self.technician)) set_recording_additional(self.handle, du(self.recording_additional)) set_patientname(self.handle, du(self.patient_name)) set_patientcode(self.handle, du(self.patient_code)) set_patient_additional(self.handle, du(self.patient_additional)) set_equipment(self.handle, du(self.equipment)) set_admincode(self.handle, du(self.admincode)) if isinstance(self.gender, int): set_gender(self.handle, self.gender) elif self.gender == "Male": set_gender(self.handle, 0) elif self.gender == "Female": set_gender(self.handle, 1) set_datarecord_duration(self.handle, self.duration) set_number_of_annotation_signals(self.handle, self.number_of_annotations) set_startdatetime(self.handle, self.recording_start_time.year, self.recording_start_time.month, self.recording_start_time.day, self.recording_start_time.hour, self.recording_start_time.minute, self.recording_start_time.second) if isstr(self.birthdate): if self.birthdate != '': birthday = datetime.strptime(self.birthdate, '%d %b %Y').date() set_birthdate(self.handle, birthday.year, birthday.month, birthday.day) else: set_birthdate(self.handle, self.birthdate.year, self.birthdate.month, self.birthdate.day) for i in np.arange(self.n_channels): set_samplefrequency(self.handle, i, self.channels[i]['sample_rate']) set_physical_maximum(self.handle, i, self.channels[i]['physical_max']) set_physical_minimum(self.handle, i, self.channels[i]['physical_min']) set_digital_maximum(self.handle, i, self.channels[i]['digital_max']) set_digital_minimum(self.handle, i, self.channels[i]['digital_min']) set_label(self.handle, i, du(self.channels[i]['label'])) set_physical_dimension(self.handle, i, du(self.channels[i]['dimension'])) set_transducer(self.handle, i, du(self.channels[i]['transducer'])) set_prefilter(self.handle, i, du(self.channels[i]['prefilter']))
python
def update_header(self): set_technician(self.handle, du(self.technician)) set_recording_additional(self.handle, du(self.recording_additional)) set_patientname(self.handle, du(self.patient_name)) set_patientcode(self.handle, du(self.patient_code)) set_patient_additional(self.handle, du(self.patient_additional)) set_equipment(self.handle, du(self.equipment)) set_admincode(self.handle, du(self.admincode)) if isinstance(self.gender, int): set_gender(self.handle, self.gender) elif self.gender == "Male": set_gender(self.handle, 0) elif self.gender == "Female": set_gender(self.handle, 1) set_datarecord_duration(self.handle, self.duration) set_number_of_annotation_signals(self.handle, self.number_of_annotations) set_startdatetime(self.handle, self.recording_start_time.year, self.recording_start_time.month, self.recording_start_time.day, self.recording_start_time.hour, self.recording_start_time.minute, self.recording_start_time.second) if isstr(self.birthdate): if self.birthdate != '': birthday = datetime.strptime(self.birthdate, '%d %b %Y').date() set_birthdate(self.handle, birthday.year, birthday.month, birthday.day) else: set_birthdate(self.handle, self.birthdate.year, self.birthdate.month, self.birthdate.day) for i in np.arange(self.n_channels): set_samplefrequency(self.handle, i, self.channels[i]['sample_rate']) set_physical_maximum(self.handle, i, self.channels[i]['physical_max']) set_physical_minimum(self.handle, i, self.channels[i]['physical_min']) set_digital_maximum(self.handle, i, self.channels[i]['digital_max']) set_digital_minimum(self.handle, i, self.channels[i]['digital_min']) set_label(self.handle, i, du(self.channels[i]['label'])) set_physical_dimension(self.handle, i, du(self.channels[i]['dimension'])) set_transducer(self.handle, i, du(self.channels[i]['transducer'])) set_prefilter(self.handle, i, du(self.channels[i]['prefilter']))
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Updates header to edffile struct
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train
https://github.com/holgern/pyedflib/blob/0f787fc1202b84a6f30d098296acf72666eaeeb4/pyedflib/edfwriter.py#L137-L175
holgern/pyedflib
pyedflib/edfwriter.py
EdfWriter.setHeader
def setHeader(self, fileHeader): """ Sets the file header """ self.technician = fileHeader["technician"] self.recording_additional = fileHeader["recording_additional"] self.patient_name = fileHeader["patientname"] self.patient_additional = fileHeader["patient_additional"] self.patient_code = fileHeader["patientcode"] self.equipment = fileHeader["equipment"] self.admincode = fileHeader["admincode"] self.gender = fileHeader["gender"] self.recording_start_time = fileHeader["startdate"] self.birthdate = fileHeader["birthdate"] self.update_header()
python
def setHeader(self, fileHeader): self.technician = fileHeader["technician"] self.recording_additional = fileHeader["recording_additional"] self.patient_name = fileHeader["patientname"] self.patient_additional = fileHeader["patient_additional"] self.patient_code = fileHeader["patientcode"] self.equipment = fileHeader["equipment"] self.admincode = fileHeader["admincode"] self.gender = fileHeader["gender"] self.recording_start_time = fileHeader["startdate"] self.birthdate = fileHeader["birthdate"] self.update_header()
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Sets the file header
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train
https://github.com/holgern/pyedflib/blob/0f787fc1202b84a6f30d098296acf72666eaeeb4/pyedflib/edfwriter.py#L177-L191
holgern/pyedflib
pyedflib/edfwriter.py
EdfWriter.setSignalHeader
def setSignalHeader(self, edfsignal, channel_info): """ Sets the parameter for signal edfsignal. channel_info should be a dict with these values: 'label' : channel label (string, <= 16 characters, must be unique) 'dimension' : physical dimension (e.g., mV) (string, <= 8 characters) 'sample_rate' : sample frequency in hertz (int) 'physical_max' : maximum physical value (float) 'physical_min' : minimum physical value (float) 'digital_max' : maximum digital value (int, -2**15 <= x < 2**15) 'digital_min' : minimum digital value (int, -2**15 <= x < 2**15) """ if edfsignal < 0 or edfsignal > self.n_channels: raise ChannelDoesNotExist(edfsignal) self.channels[edfsignal] = channel_info self.update_header()
python
def setSignalHeader(self, edfsignal, channel_info): if edfsignal < 0 or edfsignal > self.n_channels: raise ChannelDoesNotExist(edfsignal) self.channels[edfsignal] = channel_info self.update_header()
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Sets the parameter for signal edfsignal. channel_info should be a dict with these values: 'label' : channel label (string, <= 16 characters, must be unique) 'dimension' : physical dimension (e.g., mV) (string, <= 8 characters) 'sample_rate' : sample frequency in hertz (int) 'physical_max' : maximum physical value (float) 'physical_min' : minimum physical value (float) 'digital_max' : maximum digital value (int, -2**15 <= x < 2**15) 'digital_min' : minimum digital value (int, -2**15 <= x < 2**15)
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train
https://github.com/holgern/pyedflib/blob/0f787fc1202b84a6f30d098296acf72666eaeeb4/pyedflib/edfwriter.py#L193-L211
holgern/pyedflib
pyedflib/edfwriter.py
EdfWriter.setSignalHeaders
def setSignalHeaders(self, signalHeaders): """ Sets the parameter for all signals Parameters ---------- signalHeaders : array_like containing dict with 'label' : str channel label (string, <= 16 characters, must be unique) 'dimension' : str physical dimension (e.g., mV) (string, <= 8 characters) 'sample_rate' : int sample frequency in hertz 'physical_max' : float maximum physical value 'physical_min' : float minimum physical value 'digital_max' : int maximum digital value (-2**15 <= x < 2**15) 'digital_min' : int minimum digital value (-2**15 <= x < 2**15) """ for edfsignal in np.arange(self.n_channels): self.channels[edfsignal] = signalHeaders[edfsignal] self.update_header()
python
def setSignalHeaders(self, signalHeaders): for edfsignal in np.arange(self.n_channels): self.channels[edfsignal] = signalHeaders[edfsignal] self.update_header()
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Sets the parameter for all signals Parameters ---------- signalHeaders : array_like containing dict with 'label' : str channel label (string, <= 16 characters, must be unique) 'dimension' : str physical dimension (e.g., mV) (string, <= 8 characters) 'sample_rate' : int sample frequency in hertz 'physical_max' : float maximum physical value 'physical_min' : float minimum physical value 'digital_max' : int maximum digital value (-2**15 <= x < 2**15) 'digital_min' : int minimum digital value (-2**15 <= x < 2**15)
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train
https://github.com/holgern/pyedflib/blob/0f787fc1202b84a6f30d098296acf72666eaeeb4/pyedflib/edfwriter.py#L213-L238
holgern/pyedflib
pyedflib/edfwriter.py
EdfWriter.set_number_of_annotation_signals
def set_number_of_annotation_signals(self, number_of_annotations): """ Sets the number of annotation signals. The default value is 1 This function is optional and can be called only after opening a file in writemode and before the first sample write action Normally you don't need to change the default value. Only when the number of annotations you want to write is more than the number of seconds of the duration of the recording, you can use this function to increase the storage space for annotations Minimum is 1, maximum is 64 Parameters ---------- number_of_annotations : integer Sets the number of annotation signals """ number_of_annotations = max((min((int(number_of_annotations), 64)), 1)) self.number_of_annotations = number_of_annotations self.update_header()
python
def set_number_of_annotation_signals(self, number_of_annotations): number_of_annotations = max((min((int(number_of_annotations), 64)), 1)) self.number_of_annotations = number_of_annotations self.update_header()
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Sets the number of annotation signals. The default value is 1 This function is optional and can be called only after opening a file in writemode and before the first sample write action Normally you don't need to change the default value. Only when the number of annotations you want to write is more than the number of seconds of the duration of the recording, you can use this function to increase the storage space for annotations Minimum is 1, maximum is 64 Parameters ---------- number_of_annotations : integer Sets the number of annotation signals
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train
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holgern/pyedflib
pyedflib/edfwriter.py
EdfWriter.setStartdatetime
def setStartdatetime(self, recording_start_time): """ Sets the recording start Time Parameters ---------- recording_start_time: datetime object Sets the recording start Time """ if isinstance(recording_start_time,datetime): self.recording_start_time = recording_start_time else: self.recording_start_time = datetime.strptime(recording_start_time,"%d %b %Y %H:%M:%S") self.update_header()
python
def setStartdatetime(self, recording_start_time): if isinstance(recording_start_time,datetime): self.recording_start_time = recording_start_time else: self.recording_start_time = datetime.strptime(recording_start_time,"%d %b %Y %H:%M:%S") self.update_header()
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Sets the recording start Time Parameters ---------- recording_start_time: datetime object Sets the recording start Time
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train
https://github.com/holgern/pyedflib/blob/0f787fc1202b84a6f30d098296acf72666eaeeb4/pyedflib/edfwriter.py#L383-L396
holgern/pyedflib
pyedflib/edfwriter.py
EdfWriter.setSamplefrequency
def setSamplefrequency(self, edfsignal, samplefrequency): """ Sets the samplefrequency of signal edfsignal. Notes ----- This function is required for every signal and can be called only after opening a file in writemode and before the first sample write action. """ if edfsignal < 0 or edfsignal > self.n_channels: raise ChannelDoesNotExist(edfsignal) self.channels[edfsignal]['sample_rate'] = samplefrequency self.update_header()
python
def setSamplefrequency(self, edfsignal, samplefrequency): if edfsignal < 0 or edfsignal > self.n_channels: raise ChannelDoesNotExist(edfsignal) self.channels[edfsignal]['sample_rate'] = samplefrequency self.update_header()
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Sets the samplefrequency of signal edfsignal. Notes ----- This function is required for every signal and can be called only after opening a file in writemode and before the first sample write action.
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train
https://github.com/holgern/pyedflib/blob/0f787fc1202b84a6f30d098296acf72666eaeeb4/pyedflib/edfwriter.py#L421-L432
holgern/pyedflib
pyedflib/edfwriter.py
EdfWriter.setPhysicalMaximum
def setPhysicalMaximum(self, edfsignal, physical_maximum): """ Sets the physical_maximum of signal edfsignal. Parameters ---------- edfsignal: int signal number physical_maximum: float Sets the physical maximum Notes ----- This function is required for every signal and can be called only after opening a file in writemode and before the first sample write action. """ if edfsignal < 0 or edfsignal > self.n_channels: raise ChannelDoesNotExist(edfsignal) self.channels[edfsignal]['physical_max'] = physical_maximum self.update_header()
python
def setPhysicalMaximum(self, edfsignal, physical_maximum): if edfsignal < 0 or edfsignal > self.n_channels: raise ChannelDoesNotExist(edfsignal) self.channels[edfsignal]['physical_max'] = physical_maximum self.update_header()
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Sets the physical_maximum of signal edfsignal. Parameters ---------- edfsignal: int signal number physical_maximum: float Sets the physical maximum Notes ----- This function is required for every signal and can be called only after opening a file in writemode and before the first sample write action.
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train
https://github.com/holgern/pyedflib/blob/0f787fc1202b84a6f30d098296acf72666eaeeb4/pyedflib/edfwriter.py#L434-L452
holgern/pyedflib
pyedflib/edfwriter.py
EdfWriter.setPhysicalMinimum
def setPhysicalMinimum(self, edfsignal, physical_minimum): """ Sets the physical_minimum of signal edfsignal. Parameters ---------- edfsignal: int signal number physical_minimum: float Sets the physical minimum Notes ----- This function is required for every signal and can be called only after opening a file in writemode and before the first sample write action. """ if (edfsignal < 0 or edfsignal > self.n_channels): raise ChannelDoesNotExist(edfsignal) self.channels[edfsignal]['physical_min'] = physical_minimum self.update_header()
python
def setPhysicalMinimum(self, edfsignal, physical_minimum): if (edfsignal < 0 or edfsignal > self.n_channels): raise ChannelDoesNotExist(edfsignal) self.channels[edfsignal]['physical_min'] = physical_minimum self.update_header()
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Sets the physical_minimum of signal edfsignal. Parameters ---------- edfsignal: int signal number physical_minimum: float Sets the physical minimum Notes ----- This function is required for every signal and can be called only after opening a file in writemode and before the first sample write action.
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train
https://github.com/holgern/pyedflib/blob/0f787fc1202b84a6f30d098296acf72666eaeeb4/pyedflib/edfwriter.py#L454-L472
holgern/pyedflib
pyedflib/edfwriter.py
EdfWriter.setDigitalMaximum
def setDigitalMaximum(self, edfsignal, digital_maximum): """ Sets the samplefrequency of signal edfsignal. Usually, the value 32767 is used for EDF+ and 8388607 for BDF+. Parameters ---------- edfsignal : int signal number digital_maximum : int Sets the maximum digital value Notes ----- This function is optional and can be called only after opening a file in writemode and before the first sample write action. """ if (edfsignal < 0 or edfsignal > self.n_channels): raise ChannelDoesNotExist(edfsignal) self.channels[edfsignal]['digital_max'] = digital_maximum self.update_header()
python
def setDigitalMaximum(self, edfsignal, digital_maximum): if (edfsignal < 0 or edfsignal > self.n_channels): raise ChannelDoesNotExist(edfsignal) self.channels[edfsignal]['digital_max'] = digital_maximum self.update_header()
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Sets the samplefrequency of signal edfsignal. Usually, the value 32767 is used for EDF+ and 8388607 for BDF+. Parameters ---------- edfsignal : int signal number digital_maximum : int Sets the maximum digital value Notes ----- This function is optional and can be called only after opening a file in writemode and before the first sample write action.
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train
https://github.com/holgern/pyedflib/blob/0f787fc1202b84a6f30d098296acf72666eaeeb4/pyedflib/edfwriter.py#L474-L493
holgern/pyedflib
pyedflib/edfwriter.py
EdfWriter.setDigitalMinimum
def setDigitalMinimum(self, edfsignal, digital_minimum): """ Sets the minimum digital value of signal edfsignal. Usually, the value -32768 is used for EDF+ and -8388608 for BDF+. Usually this will be (-(digital_maximum + 1)). Parameters ---------- edfsignal : int signal number digital_minimum : int Sets the minimum digital value Notes ----- This function is optional and can be called only after opening a file in writemode and before the first sample write action. """ if (edfsignal < 0 or edfsignal > self.n_channels): raise ChannelDoesNotExist(edfsignal) self.channels[edfsignal]['digital_min'] = digital_minimum self.update_header()
python
def setDigitalMinimum(self, edfsignal, digital_minimum): if (edfsignal < 0 or edfsignal > self.n_channels): raise ChannelDoesNotExist(edfsignal) self.channels[edfsignal]['digital_min'] = digital_minimum self.update_header()
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Sets the minimum digital value of signal edfsignal. Usually, the value -32768 is used for EDF+ and -8388608 for BDF+. Usually this will be (-(digital_maximum + 1)). Parameters ---------- edfsignal : int signal number digital_minimum : int Sets the minimum digital value Notes ----- This function is optional and can be called only after opening a file in writemode and before the first sample write action.
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train
https://github.com/holgern/pyedflib/blob/0f787fc1202b84a6f30d098296acf72666eaeeb4/pyedflib/edfwriter.py#L495-L514
holgern/pyedflib
pyedflib/edfwriter.py
EdfWriter.setLabel
def setLabel(self, edfsignal, label): """ Sets the label (name) of signal edfsignal ("FP1", "SaO2", etc.). Parameters ---------- edfsignal : int signal number on which the label should be changed label : str signal label Notes ----- This function is recommended for every signal and can be called only after opening a file in writemode and before the first sample write action. """ if (edfsignal < 0 or edfsignal > self.n_channels): raise ChannelDoesNotExist(edfsignal) self.channels[edfsignal]['label'] = label self.update_header()
python
def setLabel(self, edfsignal, label): if (edfsignal < 0 or edfsignal > self.n_channels): raise ChannelDoesNotExist(edfsignal) self.channels[edfsignal]['label'] = label self.update_header()
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Sets the label (name) of signal edfsignal ("FP1", "SaO2", etc.). Parameters ---------- edfsignal : int signal number on which the label should be changed label : str signal label Notes ----- This function is recommended for every signal and can be called only after opening a file in writemode and before the first sample write action.
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train
https://github.com/holgern/pyedflib/blob/0f787fc1202b84a6f30d098296acf72666eaeeb4/pyedflib/edfwriter.py#L516-L534
holgern/pyedflib
pyedflib/edfwriter.py
EdfWriter.setPhysicalDimension
def setPhysicalDimension(self, edfsignal, physical_dimension): """ Sets the physical dimension of signal edfsignal ("uV", "BPM", "mA", "Degr.", etc.) :param edfsignal: int :param physical_dimension: str Notes ----- This function is recommended for every signal and can be called only after opening a file in writemode and before the first sample write action. """ if edfsignal < 0 or edfsignal > self.n_channels: raise ChannelDoesNotExist(edfsignal) self.channels[edfsignal]['dimension'] = physical_dimension self.update_header()
python
def setPhysicalDimension(self, edfsignal, physical_dimension): if edfsignal < 0 or edfsignal > self.n_channels: raise ChannelDoesNotExist(edfsignal) self.channels[edfsignal]['dimension'] = physical_dimension self.update_header()
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Sets the physical dimension of signal edfsignal ("uV", "BPM", "mA", "Degr.", etc.) :param edfsignal: int :param physical_dimension: str Notes ----- This function is recommended for every signal and can be called only after opening a file in writemode and before the first sample write action.
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train
https://github.com/holgern/pyedflib/blob/0f787fc1202b84a6f30d098296acf72666eaeeb4/pyedflib/edfwriter.py#L536-L550
holgern/pyedflib
pyedflib/edfwriter.py
EdfWriter.setTransducer
def setTransducer(self, edfsignal, transducer): """ Sets the transducer of signal edfsignal :param edfsignal: int :param transducer: str Notes ----- This function is optional for every signal and can be called only after opening a file in writemode and before the first sample write action. """ if (edfsignal < 0 or edfsignal > self.n_channels): raise ChannelDoesNotExist(edfsignal) self.channels[edfsignal]['transducer'] = transducer self.update_header()
python
def setTransducer(self, edfsignal, transducer): if (edfsignal < 0 or edfsignal > self.n_channels): raise ChannelDoesNotExist(edfsignal) self.channels[edfsignal]['transducer'] = transducer self.update_header()
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Sets the transducer of signal edfsignal :param edfsignal: int :param transducer: str Notes ----- This function is optional for every signal and can be called only after opening a file in writemode and before the first sample write action.
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train
https://github.com/holgern/pyedflib/blob/0f787fc1202b84a6f30d098296acf72666eaeeb4/pyedflib/edfwriter.py#L552-L566
holgern/pyedflib
pyedflib/edfwriter.py
EdfWriter.setPrefilter
def setPrefilter(self, edfsignal, prefilter): """ Sets the prefilter of signal edfsignal ("HP:0.1Hz", "LP:75Hz N:50Hz", etc.) :param edfsignal: int :param prefilter: str Notes ----- This function is optional for every signal and can be called only after opening a file in writemode and before the first sample write action. """ if edfsignal < 0 or edfsignal > self.n_channels: raise ChannelDoesNotExist(edfsignal) self.channels[edfsignal]['prefilter'] = prefilter self.update_header()
python
def setPrefilter(self, edfsignal, prefilter): if edfsignal < 0 or edfsignal > self.n_channels: raise ChannelDoesNotExist(edfsignal) self.channels[edfsignal]['prefilter'] = prefilter self.update_header()
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Sets the prefilter of signal edfsignal ("HP:0.1Hz", "LP:75Hz N:50Hz", etc.) :param edfsignal: int :param prefilter: str Notes ----- This function is optional for every signal and can be called only after opening a file in writemode and before the first sample write action.
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train
https://github.com/holgern/pyedflib/blob/0f787fc1202b84a6f30d098296acf72666eaeeb4/pyedflib/edfwriter.py#L568-L582
holgern/pyedflib
pyedflib/edfwriter.py
EdfWriter.writeSamples
def writeSamples(self, data_list, digital = False): """ Writes physical samples (uV, mA, Ohm) from data belonging to all signals The physical samples will be converted to digital samples using the values of physical maximum, physical minimum, digital maximum and digital minimum. if the samplefrequency of all signals are equal, then the data could be saved into a matrix with the size (N,signals) If the samplefrequency is different, then sample_freq is a vector containing all the different samplefrequencys. The data is saved as list. Each list entry contains a vector with the data of one signal. If digital is True, digital signals (as directly from the ADC) will be expected. (e.g. int16 from 0 to 2048) All parameters must be already written into the bdf/edf-file. """ if (len(data_list) != len(self.channels)): raise WrongInputSize(len(data_list)) if digital: if any([not np.issubdtype(a.dtype, np.integer) for a in data_list]): raise TypeError('Digital = True requires all signals in int') ind = [] notAtEnd = True for i in np.arange(len(data_list)): ind.append(0) sampleLength = 0 sampleRates = np.zeros(len(data_list), dtype=np.int) for i in np.arange(len(data_list)): sampleRates[i] = self.channels[i]['sample_rate'] if (np.size(data_list[i]) < ind[i] + self.channels[i]['sample_rate']): notAtEnd = False sampleLength += self.channels[i]['sample_rate'] dataOfOneSecond = np.array([], dtype=np.int if digital else None) while notAtEnd: # dataOfOneSecondInd = 0 del dataOfOneSecond dataOfOneSecond = np.array([], dtype=np.int if digital else None) for i in np.arange(len(data_list)): # dataOfOneSecond[dataOfOneSecondInd:dataOfOneSecondInd+self.channels[i]['sample_rate']] = data_list[i].ravel()[int(ind[i]):int(ind[i]+self.channels[i]['sample_rate'])] dataOfOneSecond = np.append(dataOfOneSecond,data_list[i].ravel()[int(ind[i]):int(ind[i]+sampleRates[i])]) # self.writePhysicalSamples(data_list[i].ravel()[int(ind[i]):int(ind[i]+self.channels[i]['sample_rate'])]) ind[i] += sampleRates[i] # dataOfOneSecondInd += sampleRates[i] if digital: self.blockWriteDigitalSamples(dataOfOneSecond) else: self.blockWritePhysicalSamples(dataOfOneSecond) for i in np.arange(len(data_list)): if (np.size(data_list[i]) < ind[i] + sampleRates[i]): notAtEnd = False # dataOfOneSecondInd = 0 for i in np.arange(len(data_list)): lastSamples = np.zeros(sampleRates[i], dtype=np.int if digital else None) lastSampleInd = int(np.max(data_list[i].shape) - ind[i]) lastSampleInd = int(np.min((lastSampleInd,sampleRates[i]))) if lastSampleInd > 0: lastSamples[:lastSampleInd] = data_list[i].ravel()[-lastSampleInd:] # dataOfOneSecond[dataOfOneSecondInd:dataOfOneSecondInd+self.channels[i]['sample_rate']] = lastSamples # dataOfOneSecondInd += self.channels[i]['sample_rate'] if digital: self.writeDigitalSamples(lastSamples) else: self.writePhysicalSamples(lastSamples)
python
def writeSamples(self, data_list, digital = False): if (len(data_list) != len(self.channels)): raise WrongInputSize(len(data_list)) if digital: if any([not np.issubdtype(a.dtype, np.integer) for a in data_list]): raise TypeError('Digital = True requires all signals in int') ind = [] notAtEnd = True for i in np.arange(len(data_list)): ind.append(0) sampleLength = 0 sampleRates = np.zeros(len(data_list), dtype=np.int) for i in np.arange(len(data_list)): sampleRates[i] = self.channels[i]['sample_rate'] if (np.size(data_list[i]) < ind[i] + self.channels[i]['sample_rate']): notAtEnd = False sampleLength += self.channels[i]['sample_rate'] dataOfOneSecond = np.array([], dtype=np.int if digital else None) while notAtEnd: del dataOfOneSecond dataOfOneSecond = np.array([], dtype=np.int if digital else None) for i in np.arange(len(data_list)): dataOfOneSecond = np.append(dataOfOneSecond,data_list[i].ravel()[int(ind[i]):int(ind[i]+sampleRates[i])]) ind[i] += sampleRates[i] if digital: self.blockWriteDigitalSamples(dataOfOneSecond) else: self.blockWritePhysicalSamples(dataOfOneSecond) for i in np.arange(len(data_list)): if (np.size(data_list[i]) < ind[i] + sampleRates[i]): notAtEnd = False for i in np.arange(len(data_list)): lastSamples = np.zeros(sampleRates[i], dtype=np.int if digital else None) lastSampleInd = int(np.max(data_list[i].shape) - ind[i]) lastSampleInd = int(np.min((lastSampleInd,sampleRates[i]))) if lastSampleInd > 0: lastSamples[:lastSampleInd] = data_list[i].ravel()[-lastSampleInd:] if digital: self.writeDigitalSamples(lastSamples) else: self.writePhysicalSamples(lastSamples)
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train
https://github.com/holgern/pyedflib/blob/0f787fc1202b84a6f30d098296acf72666eaeeb4/pyedflib/edfwriter.py#L639-L711
holgern/pyedflib
pyedflib/edfwriter.py
EdfWriter.writeAnnotation
def writeAnnotation(self, onset_in_seconds, duration_in_seconds, description, str_format='utf-8'): """ Writes an annotation/event to the file """ if str_format == 'utf-8': if duration_in_seconds >= 0: return write_annotation_utf8(self.handle, np.round(onset_in_seconds*10000).astype(int), np.round(duration_in_seconds*10000).astype(int), du(description)) else: return write_annotation_utf8(self.handle, np.round(onset_in_seconds*10000).astype(int), -1, du(description)) else: if duration_in_seconds >= 0: return write_annotation_latin1(self.handle, np.round(onset_in_seconds*10000).astype(int), np.round(duration_in_seconds*10000).astype(int), u(description).encode('latin1')) else: return write_annotation_latin1(self.handle, np.round(onset_in_seconds*10000).astype(int), -1, u(description).encode('latin1'))
python
def writeAnnotation(self, onset_in_seconds, duration_in_seconds, description, str_format='utf-8'): if str_format == 'utf-8': if duration_in_seconds >= 0: return write_annotation_utf8(self.handle, np.round(onset_in_seconds*10000).astype(int), np.round(duration_in_seconds*10000).astype(int), du(description)) else: return write_annotation_utf8(self.handle, np.round(onset_in_seconds*10000).astype(int), -1, du(description)) else: if duration_in_seconds >= 0: return write_annotation_latin1(self.handle, np.round(onset_in_seconds*10000).astype(int), np.round(duration_in_seconds*10000).astype(int), u(description).encode('latin1')) else: return write_annotation_latin1(self.handle, np.round(onset_in_seconds*10000).astype(int), -1, u(description).encode('latin1'))
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Writes an annotation/event to the file
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train
https://github.com/holgern/pyedflib/blob/0f787fc1202b84a6f30d098296acf72666eaeeb4/pyedflib/edfwriter.py#L714-L727
holgern/pyedflib
pyedflib/edfreader.py
EdfReader.readAnnotations
def readAnnotations(self): """ Annotations from a edf-file Parameters ---------- None """ annot = self.read_annotation() annot = np.array(annot) if (annot.shape[0] == 0): return np.array([]), np.array([]), np.array([]) ann_time = self._get_float(annot[:, 0]) ann_text = annot[:, 2] ann_text_out = ["" for x in range(len(annot[:, 1]))] for i in np.arange(len(annot[:, 1])): ann_text_out[i] = self._convert_string(ann_text[i]) if annot[i, 1] == '': annot[i, 1] = '-1' ann_duration = self._get_float(annot[:, 1]) return ann_time/10000000, ann_duration, np.array(ann_text_out)
python
def readAnnotations(self): annot = self.read_annotation() annot = np.array(annot) if (annot.shape[0] == 0): return np.array([]), np.array([]), np.array([]) ann_time = self._get_float(annot[:, 0]) ann_text = annot[:, 2] ann_text_out = ["" for x in range(len(annot[:, 1]))] for i in np.arange(len(annot[:, 1])): ann_text_out[i] = self._convert_string(ann_text[i]) if annot[i, 1] == '': annot[i, 1] = '-1' ann_duration = self._get_float(annot[:, 1]) return ann_time/10000000, ann_duration, np.array(ann_text_out)
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Annotations from a edf-file Parameters ---------- None
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train
https://github.com/holgern/pyedflib/blob/0f787fc1202b84a6f30d098296acf72666eaeeb4/pyedflib/edfreader.py#L44-L64
holgern/pyedflib
pyedflib/edfreader.py
EdfReader.getHeader
def getHeader(self): """ Returns the file header as dict Parameters ---------- None """ return {"technician": self.getTechnician(), "recording_additional": self.getRecordingAdditional(), "patientname": self.getPatientName(), "patient_additional": self.getPatientAdditional(), "patientcode": self.getPatientCode(), "equipment": self.getEquipment(), "admincode": self.getAdmincode(), "gender": self.getGender(), "startdate": self.getStartdatetime(), "birthdate": self.getBirthdate()}
python
def getHeader(self): return {"technician": self.getTechnician(), "recording_additional": self.getRecordingAdditional(), "patientname": self.getPatientName(), "patient_additional": self.getPatientAdditional(), "patientcode": self.getPatientCode(), "equipment": self.getEquipment(), "admincode": self.getAdmincode(), "gender": self.getGender(), "startdate": self.getStartdatetime(), "birthdate": self.getBirthdate()}
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Returns the file header as dict Parameters ---------- None
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train
https://github.com/holgern/pyedflib/blob/0f787fc1202b84a6f30d098296acf72666eaeeb4/pyedflib/edfreader.py#L92-L104
holgern/pyedflib
pyedflib/edfreader.py
EdfReader.getSignalHeader
def getSignalHeader(self, chn): """ Returns the header of one signal as dicts Parameters ---------- None """ return {'label': self.getLabel(chn), 'dimension': self.getPhysicalDimension(chn), 'sample_rate': self.getSampleFrequency(chn), 'physical_max':self.getPhysicalMaximum(chn), 'physical_min': self.getPhysicalMinimum(chn), 'digital_max': self.getDigitalMaximum(chn), 'digital_min': self.getDigitalMinimum(chn), 'prefilter':self.getPrefilter(chn), 'transducer': self.getTransducer(chn)}
python
def getSignalHeader(self, chn): return {'label': self.getLabel(chn), 'dimension': self.getPhysicalDimension(chn), 'sample_rate': self.getSampleFrequency(chn), 'physical_max':self.getPhysicalMaximum(chn), 'physical_min': self.getPhysicalMinimum(chn), 'digital_max': self.getDigitalMaximum(chn), 'digital_min': self.getDigitalMinimum(chn), 'prefilter':self.getPrefilter(chn), 'transducer': self.getTransducer(chn)}
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train
https://github.com/holgern/pyedflib/blob/0f787fc1202b84a6f30d098296acf72666eaeeb4/pyedflib/edfreader.py#L106-L122
holgern/pyedflib
pyedflib/edfreader.py
EdfReader.getSignalHeaders
def getSignalHeaders(self): """ Returns the header of all signals as array of dicts Parameters ---------- None """ signalHeader = [] for chn in np.arange(self.signals_in_file): signalHeader.append(self.getSignalHeader(chn)) return signalHeader
python
def getSignalHeaders(self): signalHeader = [] for chn in np.arange(self.signals_in_file): signalHeader.append(self.getSignalHeader(chn)) return signalHeader
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train
https://github.com/holgern/pyedflib/blob/0f787fc1202b84a6f30d098296acf72666eaeeb4/pyedflib/edfreader.py#L124-L135
holgern/pyedflib
pyedflib/edfreader.py
EdfReader.getStartdatetime
def getStartdatetime(self): """ Returns the date and starttime as datetime object Parameters ---------- None Examples -------- >>> import pyedflib >>> f = pyedflib.data.test_generator() >>> f.getStartdatetime() datetime.datetime(2011, 4, 4, 12, 57, 2) >>> f._close() >>> del f """ return datetime(self.startdate_year, self.startdate_month, self.startdate_day, self.starttime_hour, self.starttime_minute, self.starttime_second)
python
def getStartdatetime(self): return datetime(self.startdate_year, self.startdate_month, self.startdate_day, self.starttime_hour, self.starttime_minute, self.starttime_second)
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Returns the date and starttime as datetime object Parameters ---------- None Examples -------- >>> import pyedflib >>> f = pyedflib.data.test_generator() >>> f.getStartdatetime() datetime.datetime(2011, 4, 4, 12, 57, 2) >>> f._close() >>> del f
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train
https://github.com/holgern/pyedflib/blob/0f787fc1202b84a6f30d098296acf72666eaeeb4/pyedflib/edfreader.py#L317-L336
holgern/pyedflib
pyedflib/edfreader.py
EdfReader.getBirthdate
def getBirthdate(self, string=True): """ Returns the birthdate as string object Parameters ---------- None Examples -------- >>> import pyedflib >>> f = pyedflib.data.test_generator() >>> f.getBirthdate()=='30 jun 1969' True >>> f._close() >>> del f """ if string: return self._convert_string(self.birthdate.rstrip()) else: return datetime.strptime(self._convert_string(self.birthdate.rstrip()), "%d %b %Y")
python
def getBirthdate(self, string=True): if string: return self._convert_string(self.birthdate.rstrip()) else: return datetime.strptime(self._convert_string(self.birthdate.rstrip()), "%d %b %Y")
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Returns the birthdate as string object Parameters ---------- None Examples -------- >>> import pyedflib >>> f = pyedflib.data.test_generator() >>> f.getBirthdate()=='30 jun 1969' True >>> f._close() >>> del f
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train
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holgern/pyedflib
pyedflib/edfreader.py
EdfReader.getSampleFrequencies
def getSampleFrequencies(self): """ Returns samplefrequencies of all signals. Parameters ---------- None Examples -------- >>> import pyedflib >>> f = pyedflib.data.test_generator() >>> all(f.getSampleFrequencies()==200.0) True >>> f._close() >>> del f """ return np.array([round(self.samplefrequency(chn)) for chn in np.arange(self.signals_in_file)])
python
def getSampleFrequencies(self): return np.array([round(self.samplefrequency(chn)) for chn in np.arange(self.signals_in_file)])
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Returns samplefrequencies of all signals. Parameters ---------- None Examples -------- >>> import pyedflib >>> f = pyedflib.data.test_generator() >>> all(f.getSampleFrequencies()==200.0) True >>> f._close() >>> del f
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train
https://github.com/holgern/pyedflib/blob/0f787fc1202b84a6f30d098296acf72666eaeeb4/pyedflib/edfreader.py#L362-L381
holgern/pyedflib
pyedflib/edfreader.py
EdfReader.getSampleFrequency
def getSampleFrequency(self,chn): """ Returns the samplefrequency of signal edfsignal. Parameters ---------- chn : int channel number Examples -------- >>> import pyedflib >>> f = pyedflib.data.test_generator() >>> f.getSampleFrequency(0)==200.0 True >>> f._close() >>> del f """ if 0 <= chn < self.signals_in_file: return round(self.samplefrequency(chn)) else: return 0
python
def getSampleFrequency(self,chn): if 0 <= chn < self.signals_in_file: return round(self.samplefrequency(chn)) else: return 0
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Returns the samplefrequency of signal edfsignal. Parameters ---------- chn : int channel number Examples -------- >>> import pyedflib >>> f = pyedflib.data.test_generator() >>> f.getSampleFrequency(0)==200.0 True >>> f._close() >>> del f
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train
https://github.com/holgern/pyedflib/blob/0f787fc1202b84a6f30d098296acf72666eaeeb4/pyedflib/edfreader.py#L383-L405
holgern/pyedflib
pyedflib/edfreader.py
EdfReader.getSignalLabels
def getSignalLabels(self): """ Returns all labels (name) ("FP1", "SaO2", etc.). Parameters ---------- None Examples -------- >>> import pyedflib >>> f = pyedflib.data.test_generator() >>> f.getSignalLabels()==['squarewave', 'ramp', 'pulse', 'noise', 'sine 1 Hz', 'sine 8 Hz', 'sine 8.1777 Hz', 'sine 8.5 Hz', 'sine 15 Hz', 'sine 17 Hz', 'sine 50 Hz'] True >>> f._close() >>> del f """ return [self._convert_string(self.signal_label(chn).strip()) for chn in np.arange(self.signals_in_file)]
python
def getSignalLabels(self): return [self._convert_string(self.signal_label(chn).strip()) for chn in np.arange(self.signals_in_file)]
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Returns all labels (name) ("FP1", "SaO2", etc.). Parameters ---------- None Examples -------- >>> import pyedflib >>> f = pyedflib.data.test_generator() >>> f.getSignalLabels()==['squarewave', 'ramp', 'pulse', 'noise', 'sine 1 Hz', 'sine 8 Hz', 'sine 8.1777 Hz', 'sine 8.5 Hz', 'sine 15 Hz', 'sine 17 Hz', 'sine 50 Hz'] True >>> f._close() >>> del f
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train
https://github.com/holgern/pyedflib/blob/0f787fc1202b84a6f30d098296acf72666eaeeb4/pyedflib/edfreader.py#L407-L426
holgern/pyedflib
pyedflib/edfreader.py
EdfReader.getLabel
def getLabel(self,chn): """ Returns the label (name) of signal chn ("FP1", "SaO2", etc.). Parameters ---------- chn : int channel number Examples -------- >>> import pyedflib >>> f = pyedflib.data.test_generator() >>> f.getLabel(0)=='squarewave' True >>> f._close() >>> del f """ if 0 <= chn < self.signals_in_file: return self._convert_string(self.signal_label(chn).rstrip()) else: return self._convert_string('')
python
def getLabel(self,chn): if 0 <= chn < self.signals_in_file: return self._convert_string(self.signal_label(chn).rstrip()) else: return self._convert_string('')
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Returns the label (name) of signal chn ("FP1", "SaO2", etc.). Parameters ---------- chn : int channel number Examples -------- >>> import pyedflib >>> f = pyedflib.data.test_generator() >>> f.getLabel(0)=='squarewave' True >>> f._close() >>> del f
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train
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holgern/pyedflib
pyedflib/edfreader.py
EdfReader.getPrefilter
def getPrefilter(self,chn): """ Returns the prefilter of signal chn ("HP:0.1Hz", "LP:75Hz N:50Hz", etc.) Parameters ---------- chn : int channel number Examples -------- >>> import pyedflib >>> f = pyedflib.data.test_generator() >>> f.getPrefilter(0)=='' True >>> f._close() >>> del f """ if 0 <= chn < self.signals_in_file: return self._convert_string(self.prefilter(chn).rstrip()) else: return self._convert_string('')
python
def getPrefilter(self,chn): if 0 <= chn < self.signals_in_file: return self._convert_string(self.prefilter(chn).rstrip()) else: return self._convert_string('')
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Returns the prefilter of signal chn ("HP:0.1Hz", "LP:75Hz N:50Hz", etc.) Parameters ---------- chn : int channel number Examples -------- >>> import pyedflib >>> f = pyedflib.data.test_generator() >>> f.getPrefilter(0)=='' True >>> f._close() >>> del f
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train
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holgern/pyedflib
pyedflib/edfreader.py
EdfReader.getPhysicalMaximum
def getPhysicalMaximum(self,chn=None): """ Returns the maximum physical value of signal edfsignal. Parameters ---------- chn : int channel number Examples -------- >>> import pyedflib >>> f = pyedflib.data.test_generator() >>> f.getPhysicalMaximum(0)==1000.0 True >>> f._close() >>> del f """ if chn is not None: if 0 <= chn < self.signals_in_file: return self.physical_max(chn) else: return 0 else: physMax = np.zeros(self.signals_in_file) for i in np.arange(self.signals_in_file): physMax[i] = self.physical_max(i) return physMax
python
def getPhysicalMaximum(self,chn=None): if chn is not None: if 0 <= chn < self.signals_in_file: return self.physical_max(chn) else: return 0 else: physMax = np.zeros(self.signals_in_file) for i in np.arange(self.signals_in_file): physMax[i] = self.physical_max(i) return physMax
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Returns the maximum physical value of signal edfsignal. Parameters ---------- chn : int channel number Examples -------- >>> import pyedflib >>> f = pyedflib.data.test_generator() >>> f.getPhysicalMaximum(0)==1000.0 True >>> f._close() >>> del f
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train
https://github.com/holgern/pyedflib/blob/0f787fc1202b84a6f30d098296acf72666eaeeb4/pyedflib/edfreader.py#L476-L504
holgern/pyedflib
pyedflib/edfreader.py
EdfReader.getPhysicalMinimum
def getPhysicalMinimum(self,chn=None): """ Returns the minimum physical value of signal edfsignal. Parameters ---------- chn : int channel number Examples -------- >>> import pyedflib >>> f = pyedflib.data.test_generator() >>> f.getPhysicalMinimum(0)==-1000.0 True >>> f._close() >>> del f """ if chn is not None: if 0 <= chn < self.signals_in_file: return self.physical_min(chn) else: return 0 else: physMin = np.zeros(self.signals_in_file) for i in np.arange(self.signals_in_file): physMin[i] = self.physical_min(i) return physMin
python
def getPhysicalMinimum(self,chn=None): if chn is not None: if 0 <= chn < self.signals_in_file: return self.physical_min(chn) else: return 0 else: physMin = np.zeros(self.signals_in_file) for i in np.arange(self.signals_in_file): physMin[i] = self.physical_min(i) return physMin
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Returns the minimum physical value of signal edfsignal. Parameters ---------- chn : int channel number Examples -------- >>> import pyedflib >>> f = pyedflib.data.test_generator() >>> f.getPhysicalMinimum(0)==-1000.0 True >>> f._close() >>> del f
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train
https://github.com/holgern/pyedflib/blob/0f787fc1202b84a6f30d098296acf72666eaeeb4/pyedflib/edfreader.py#L506-L534
holgern/pyedflib
pyedflib/edfreader.py
EdfReader.getDigitalMaximum
def getDigitalMaximum(self, chn=None): """ Returns the maximum digital value of signal edfsignal. Parameters ---------- chn : int channel number Examples -------- >>> import pyedflib >>> f = pyedflib.data.test_generator() >>> f.getDigitalMaximum(0) 32767 >>> f._close() >>> del f """ if chn is not None: if 0 <= chn < self.signals_in_file: return self.digital_max(chn) else: return 0 else: digMax = np.zeros(self.signals_in_file) for i in np.arange(self.signals_in_file): digMax[i] = self.digital_max(i) return digMax
python
def getDigitalMaximum(self, chn=None): if chn is not None: if 0 <= chn < self.signals_in_file: return self.digital_max(chn) else: return 0 else: digMax = np.zeros(self.signals_in_file) for i in np.arange(self.signals_in_file): digMax[i] = self.digital_max(i) return digMax
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Returns the maximum digital value of signal edfsignal. Parameters ---------- chn : int channel number Examples -------- >>> import pyedflib >>> f = pyedflib.data.test_generator() >>> f.getDigitalMaximum(0) 32767 >>> f._close() >>> del f
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train
https://github.com/holgern/pyedflib/blob/0f787fc1202b84a6f30d098296acf72666eaeeb4/pyedflib/edfreader.py#L536-L564
holgern/pyedflib
pyedflib/edfreader.py
EdfReader.getDigitalMinimum
def getDigitalMinimum(self, chn=None): """ Returns the minimum digital value of signal edfsignal. Parameters ---------- chn : int channel number Examples -------- >>> import pyedflib >>> f = pyedflib.data.test_generator() >>> f.getDigitalMinimum(0) -32768 >>> f._close() >>> del f """ if chn is not None: if 0 <= chn < self.signals_in_file: return self.digital_min(chn) else: return 0 else: digMin = np.zeros(self.signals_in_file) for i in np.arange(self.signals_in_file): digMin[i] = self.digital_min(i) return digMin
python
def getDigitalMinimum(self, chn=None): if chn is not None: if 0 <= chn < self.signals_in_file: return self.digital_min(chn) else: return 0 else: digMin = np.zeros(self.signals_in_file) for i in np.arange(self.signals_in_file): digMin[i] = self.digital_min(i) return digMin
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Returns the minimum digital value of signal edfsignal. Parameters ---------- chn : int channel number Examples -------- >>> import pyedflib >>> f = pyedflib.data.test_generator() >>> f.getDigitalMinimum(0) -32768 >>> f._close() >>> del f
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train
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holgern/pyedflib
pyedflib/edfreader.py
EdfReader.getTransducer
def getTransducer(self, chn): """ Returns the transducer of signal chn ("AgAgCl cup electrodes", etc.). Parameters ---------- chn : int channel number Examples -------- >>> import pyedflib >>> f = pyedflib.data.test_generator() >>> f.getTransducer(0)=='' True >>> f._close() >>> del f """ if 0 <= chn < self.signals_in_file: return self._convert_string(self.transducer(chn).rstrip()) else: return self._convert_string('')
python
def getTransducer(self, chn): if 0 <= chn < self.signals_in_file: return self._convert_string(self.transducer(chn).rstrip()) else: return self._convert_string('')
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Returns the transducer of signal chn ("AgAgCl cup electrodes", etc.). Parameters ---------- chn : int channel number Examples -------- >>> import pyedflib >>> f = pyedflib.data.test_generator() >>> f.getTransducer(0)=='' True >>> f._close() >>> del f
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train
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holgern/pyedflib
pyedflib/edfreader.py
EdfReader.getPhysicalDimension
def getPhysicalDimension(self, chn): """ Returns the physical dimension of signal edfsignal ("uV", "BPM", "mA", "Degr.", etc.) Parameters ---------- chn : int channel number Examples -------- >>> import pyedflib >>> f = pyedflib.data.test_generator() >>> f.getPhysicalDimension(0)=='uV' True >>> f._close() >>> del f """ if 0 <= chn < self.signals_in_file: return self._convert_string(self.physical_dimension(chn).rstrip()) else: return self._convert_string('')
python
def getPhysicalDimension(self, chn): if 0 <= chn < self.signals_in_file: return self._convert_string(self.physical_dimension(chn).rstrip()) else: return self._convert_string('')
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Returns the physical dimension of signal edfsignal ("uV", "BPM", "mA", "Degr.", etc.) Parameters ---------- chn : int channel number Examples -------- >>> import pyedflib >>> f = pyedflib.data.test_generator() >>> f.getPhysicalDimension(0)=='uV' True >>> f._close() >>> del f
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train
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holgern/pyedflib
pyedflib/edfreader.py
EdfReader.readSignal
def readSignal(self, chn, start=0, n=None): """ Returns the physical data of signal chn. When start and n is set, a subset is returned Parameters ---------- chn : int channel number start : int start pointer (default is 0) n : int length of data to read (default is None, by which the complete data of the channel are returned) Examples -------- >>> import pyedflib >>> f = pyedflib.data.test_generator() >>> x = f.readSignal(0,0,1000) >>> int(x.shape[0]) 1000 >>> x2 = f.readSignal(0) >>> int(x2.shape[0]) 120000 >>> f._close() >>> del f """ if start < 0: return np.array([]) if n is not None and n < 0: return np.array([]) nsamples = self.getNSamples() if chn < len(nsamples): if n is None: n = nsamples[chn] elif n > nsamples[chn]: return np.array([]) x = np.zeros(n, dtype=np.float64) self.readsignal(chn, start, n, x) return x else: return np.array([])
python
def readSignal(self, chn, start=0, n=None): if start < 0: return np.array([]) if n is not None and n < 0: return np.array([]) nsamples = self.getNSamples() if chn < len(nsamples): if n is None: n = nsamples[chn] elif n > nsamples[chn]: return np.array([]) x = np.zeros(n, dtype=np.float64) self.readsignal(chn, start, n, x) return x else: return np.array([])
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Returns the physical data of signal chn. When start and n is set, a subset is returned Parameters ---------- chn : int channel number start : int start pointer (default is 0) n : int length of data to read (default is None, by which the complete data of the channel are returned) Examples -------- >>> import pyedflib >>> f = pyedflib.data.test_generator() >>> x = f.readSignal(0,0,1000) >>> int(x.shape[0]) 1000 >>> x2 = f.readSignal(0) >>> int(x2.shape[0]) 120000 >>> f._close() >>> del f
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train
https://github.com/holgern/pyedflib/blob/0f787fc1202b84a6f30d098296acf72666eaeeb4/pyedflib/edfreader.py#L644-L685
holgern/pyedflib
pyedflib/edfreader.py
EdfReader.file_info_long
def file_info_long(self): """ Returns information about the opened EDF/BDF file """ self.file_info() for ii in np.arange(self.signals_in_file): print("label:", self.getSignalLabels()[ii], "fs:", self.getSampleFrequencies()[ii], "nsamples", self.getNSamples()[ii])
python
def file_info_long(self): self.file_info() for ii in np.arange(self.signals_in_file): print("label:", self.getSignalLabels()[ii], "fs:", self.getSampleFrequencies()[ii], "nsamples", self.getNSamples()[ii])
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Returns information about the opened EDF/BDF file
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train
https://github.com/holgern/pyedflib/blob/0f787fc1202b84a6f30d098296acf72666eaeeb4/pyedflib/edfreader.py#L691-L699
holgern/pyedflib
demo/stacklineplot.py
stackplot
def stackplot(marray, seconds=None, start_time=None, ylabels=None): """ will plot a stack of traces one above the other assuming marray.shape = numRows, numSamples """ tarray = np.transpose(marray) stackplot_t(tarray, seconds=seconds, start_time=start_time, ylabels=ylabels) plt.show()
python
def stackplot(marray, seconds=None, start_time=None, ylabels=None): tarray = np.transpose(marray) stackplot_t(tarray, seconds=seconds, start_time=start_time, ylabels=ylabels) plt.show()
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will plot a stack of traces one above the other assuming marray.shape = numRows, numSamples
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train
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holgern/pyedflib
demo/stacklineplot.py
stackplot_t
def stackplot_t(tarray, seconds=None, start_time=None, ylabels=None): """ will plot a stack of traces one above the other assuming tarray.shape = numSamples, numRows """ data = tarray numSamples, numRows = tarray.shape # data = np.random.randn(numSamples,numRows) # test data # data.shape = numSamples, numRows if seconds: t = seconds * np.arange(numSamples, dtype=float)/numSamples # import pdb # pdb.set_trace() if start_time: t = t+start_time xlm = (start_time, start_time+seconds) else: xlm = (0,seconds) else: t = np.arange(numSamples, dtype=float) xlm = (0,numSamples) ticklocs = [] ax = plt.subplot(111) plt.xlim(*xlm) # xticks(np.linspace(xlm, 10)) dmin = data.min() dmax = data.max() dr = (dmax - dmin)*0.7 # Crowd them a bit. y0 = dmin y1 = (numRows-1) * dr + dmax plt.ylim(y0, y1) segs = [] for i in range(numRows): segs.append(np.hstack((t[:,np.newaxis], data[:,i,np.newaxis]))) # print "segs[-1].shape:", segs[-1].shape ticklocs.append(i*dr) offsets = np.zeros((numRows,2), dtype=float) offsets[:,1] = ticklocs lines = LineCollection(segs, offsets=offsets, transOffset=None, ) ax.add_collection(lines) # set the yticks to use axes coords on the y axis ax.set_yticks(ticklocs) # ax.set_yticklabels(['PG3', 'PG5', 'PG7', 'PG9']) # if not plt.ylabels: plt.ylabels = ["%d" % ii for ii in range(numRows)] ax.set_yticklabels(ylabels) plt.xlabel('time (s)')
python
def stackplot_t(tarray, seconds=None, start_time=None, ylabels=None): data = tarray numSamples, numRows = tarray.shape if seconds: t = seconds * np.arange(numSamples, dtype=float)/numSamples if start_time: t = t+start_time xlm = (start_time, start_time+seconds) else: xlm = (0,seconds) else: t = np.arange(numSamples, dtype=float) xlm = (0,numSamples) ticklocs = [] ax = plt.subplot(111) plt.xlim(*xlm) dmin = data.min() dmax = data.max() dr = (dmax - dmin)*0.7 y0 = dmin y1 = (numRows-1) * dr + dmax plt.ylim(y0, y1) segs = [] for i in range(numRows): segs.append(np.hstack((t[:,np.newaxis], data[:,i,np.newaxis]))) ticklocs.append(i*dr) offsets = np.zeros((numRows,2), dtype=float) offsets[:,1] = ticklocs lines = LineCollection(segs, offsets=offsets, transOffset=None, ) ax.add_collection(lines) ax.set_yticks(ticklocs) plt.ylabels = ["%d" % ii for ii in range(numRows)] ax.set_yticklabels(ylabels) plt.xlabel('time (s)')
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train
https://github.com/holgern/pyedflib/blob/0f787fc1202b84a6f30d098296acf72666eaeeb4/demo/stacklineplot.py#L20-L76
ansibleplaybookbundle/ansible-playbook-bundle
src/apb/cli.py
subcmd_list_parser
def subcmd_list_parser(subcmd): """ list subcommand """ subcmd.add_argument( '--broker', action='store', dest='broker', help=u'Route to the Ansible Service Broker' ) subcmd.add_argument( '--secure', action='store_true', dest='verify', help=u'Verify SSL connection to Ansible Service Broker', default=False ) subcmd.add_argument( '--ca-path', action='store', dest='cert', help=u'CA cert to use for verifying SSL connection to Ansible Service Broker', default=None ) subcmd.add_argument( '--verbose', '-v', action='store_true', dest='verbose', help=u'Output verbose spec information from Ansible Service Broker', default=False ) subcmd.add_argument( '--output', '-o', action='store', dest='output', help=u'Specify verbose output format in yaml (default) or json', default='optional', choices=['yaml', 'json'] ) subcmd.add_argument( '--username', '-u', action='store', default=None, dest='basic_auth_username', help=u'Specify the basic auth username to be used' ) subcmd.add_argument( '--password', '-p', action='store', default=None, dest='basic_auth_password', help=u'Specify the basic auth password to be used' ) return
python
def subcmd_list_parser(subcmd): subcmd.add_argument( '--broker', action='store', dest='broker', help=u'Route to the Ansible Service Broker' ) subcmd.add_argument( '--secure', action='store_true', dest='verify', help=u'Verify SSL connection to Ansible Service Broker', default=False ) subcmd.add_argument( '--ca-path', action='store', dest='cert', help=u'CA cert to use for verifying SSL connection to Ansible Service Broker', default=None ) subcmd.add_argument( '--verbose', '-v', action='store_true', dest='verbose', help=u'Output verbose spec information from Ansible Service Broker', default=False ) subcmd.add_argument( '--output', '-o', action='store', dest='output', help=u'Specify verbose output format in yaml (default) or json', default='optional', choices=['yaml', 'json'] ) subcmd.add_argument( '--username', '-u', action='store', default=None, dest='basic_auth_username', help=u'Specify the basic auth username to be used' ) subcmd.add_argument( '--password', '-p', action='store', default=None, dest='basic_auth_password', help=u'Specify the basic auth password to be used' ) return
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list subcommand
[ "list", "subcommand" ]
train
https://github.com/ansibleplaybookbundle/ansible-playbook-bundle/blob/585694be9b417f1a88354cbfe286bfd68c2c9494/src/apb/cli.py#L30-L85
ansibleplaybookbundle/ansible-playbook-bundle
src/apb/cli.py
subcmd_build_parser
def subcmd_build_parser(subcmd): """ build subcommand """ subcmd.add_argument( '--tag', action='store', dest='tag', help=u'Tag of APB to build (ie. mysql-apb or docker.io/username/mysql-apb)' ) subcmd.add_argument( '--dockerfile', '-f', action='store', dest='dockerfile', help=u'Name of Dockerfile to build with' ) return
python
def subcmd_build_parser(subcmd): subcmd.add_argument( '--tag', action='store', dest='tag', help=u'Tag of APB to build (ie. mysql-apb or docker.io/username/mysql-apb)' ) subcmd.add_argument( '--dockerfile', '-f', action='store', dest='dockerfile', help=u'Name of Dockerfile to build with' ) return
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build subcommand
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train
https://github.com/ansibleplaybookbundle/ansible-playbook-bundle/blob/585694be9b417f1a88354cbfe286bfd68c2c9494/src/apb/cli.py#L88-L105
ansibleplaybookbundle/ansible-playbook-bundle
src/apb/cli.py
subcmd_init_parser
def subcmd_init_parser(subcmd): """ init subcommand """ subcmd.add_argument( 'tag', action='store', help=u'Tag (org/name) or name of APB to initialize' ) subcmd.add_argument( '--force', action='store_true', dest='force', help=u'Force re-init on current directory', default=False ) subcmd.add_argument( '--dockerhost', action='store', help=u'set the dockerhost for this project', default="docker.io" ) subcmd.add_argument( '--async', action='store', dest='async', help=u'Specify asynchronous operation on application.', default='optional', choices=['required', 'optional', 'unsupported'] ) subcmd.add_argument( '--bindable', action='store_true', dest='bindable', help=u'Make application bindable on the spec.', default=False ) subcmd.add_argument( '--dep', '-d', action='append', dest='dependencies', help=u'Add image dependency to APB spec' ) for opt in SKIP_OPTIONS: subcmd.add_argument( '--skip-%s' % opt, action='store_true', dest='skip-%s' % opt, help=u'Specify which playbooks to not generate by default.', default=False ) return
python
def subcmd_init_parser(subcmd): subcmd.add_argument( 'tag', action='store', help=u'Tag (org/name) or name of APB to initialize' ) subcmd.add_argument( '--force', action='store_true', dest='force', help=u'Force re-init on current directory', default=False ) subcmd.add_argument( '--dockerhost', action='store', help=u'set the dockerhost for this project', default="docker.io" ) subcmd.add_argument( '--async', action='store', dest='async', help=u'Specify asynchronous operation on application.', default='optional', choices=['required', 'optional', 'unsupported'] ) subcmd.add_argument( '--bindable', action='store_true', dest='bindable', help=u'Make application bindable on the spec.', default=False ) subcmd.add_argument( '--dep', '-d', action='append', dest='dependencies', help=u'Add image dependency to APB spec' ) for opt in SKIP_OPTIONS: subcmd.add_argument( '--skip-%s' % opt, action='store_true', dest='skip-%s' % opt, help=u'Specify which playbooks to not generate by default.', default=False ) return
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init subcommand
[ "init", "subcommand" ]
train
https://github.com/ansibleplaybookbundle/ansible-playbook-bundle/blob/585694be9b417f1a88354cbfe286bfd68c2c9494/src/apb/cli.py#L108-L165
ansibleplaybookbundle/ansible-playbook-bundle
src/apb/cli.py
subcmd_prepare_parser
def subcmd_prepare_parser(subcmd): """ prepare subcommand """ subcmd.add_argument( '--provider', action='store', dest='provider', help=u'Targeted cluster type', choices=['openshift', 'kubernetes'], default='openshift' ) subcmd.add_argument( '--dockerfile', '-f', action='store', dest='dockerfile', help=u'Name of Dockerfile to build with' ) return
python
def subcmd_prepare_parser(subcmd): subcmd.add_argument( '--provider', action='store', dest='provider', help=u'Targeted cluster type', choices=['openshift', 'kubernetes'], default='openshift' ) subcmd.add_argument( '--dockerfile', '-f', action='store', dest='dockerfile', help=u'Name of Dockerfile to build with' ) return
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prepare subcommand
[ "prepare", "subcommand" ]
train
https://github.com/ansibleplaybookbundle/ansible-playbook-bundle/blob/585694be9b417f1a88354cbfe286bfd68c2c9494/src/apb/cli.py#L168-L187
ansibleplaybookbundle/ansible-playbook-bundle
src/apb/cli.py
subcmd_push_parser
def subcmd_push_parser(subcmd): """ push subcommand """ subcmd.add_argument( '--broker', action='store', dest='broker', help=u'Route to the Ansible Service Broker' ) subcmd.add_argument( '--registry-service-name', action='store', dest='reg_svc_name', help=u'Name of service for internal OpenShift registry', default=u'docker-registry' ) subcmd.add_argument( '--registry-namespace', action='store', dest='reg_namespace', help=u'Namespace of internal OpenShift registry', default=u'default' ) subcmd.add_argument( '--namespace', action='store', dest='namespace', help=u'Namespace to push APB in OpenShift registry', default=u'openshift' ) subcmd.add_argument( '--registry-route', action='store', dest='reg_route', help=u'Route of internal OpenShift registry' ) subcmd.add_argument( '--dockerfile', '-f', action='store', dest='dockerfile', help=u'Dockerfile to build internal registry image with', default=u'Dockerfile' ) subcmd.add_argument( '--secure', action='store_true', dest='verify', help=u'Verify SSL connection to Ansible Service Broker', default=False ) subcmd.add_argument( '--ca-path', action='store', dest='cert', help=u'CA cert to use for verifying SSL connection to Ansible Service Broker', default=None ) subcmd.add_argument( '--username', '-u', action='store', default=None, dest='basic_auth_username', help=u'Specify the basic auth username to be used' ) subcmd.add_argument( '--password', '-p', action='store', default=None, dest='basic_auth_password', help=u'Specify the basic auth password to be used' ) subcmd.add_argument( '--no-relist', action='store_true', dest='no_relist', help=u'Do not relist the catalog after pushing an apb to the broker', default=False ) subcmd.add_argument( '--broker-name', action='store', dest='broker_name', help=u'Name of the ServiceBroker k8s resource', default=u'ansible-service-broker' ) subcmd.add_argument( '--push-to-broker', action='store_true', dest='broker_push', help=u'Use Broker development endpoint at /v2/apb/', default=False ) return
python
def subcmd_push_parser(subcmd): subcmd.add_argument( '--broker', action='store', dest='broker', help=u'Route to the Ansible Service Broker' ) subcmd.add_argument( '--registry-service-name', action='store', dest='reg_svc_name', help=u'Name of service for internal OpenShift registry', default=u'docker-registry' ) subcmd.add_argument( '--registry-namespace', action='store', dest='reg_namespace', help=u'Namespace of internal OpenShift registry', default=u'default' ) subcmd.add_argument( '--namespace', action='store', dest='namespace', help=u'Namespace to push APB in OpenShift registry', default=u'openshift' ) subcmd.add_argument( '--registry-route', action='store', dest='reg_route', help=u'Route of internal OpenShift registry' ) subcmd.add_argument( '--dockerfile', '-f', action='store', dest='dockerfile', help=u'Dockerfile to build internal registry image with', default=u'Dockerfile' ) subcmd.add_argument( '--secure', action='store_true', dest='verify', help=u'Verify SSL connection to Ansible Service Broker', default=False ) subcmd.add_argument( '--ca-path', action='store', dest='cert', help=u'CA cert to use for verifying SSL connection to Ansible Service Broker', default=None ) subcmd.add_argument( '--username', '-u', action='store', default=None, dest='basic_auth_username', help=u'Specify the basic auth username to be used' ) subcmd.add_argument( '--password', '-p', action='store', default=None, dest='basic_auth_password', help=u'Specify the basic auth password to be used' ) subcmd.add_argument( '--no-relist', action='store_true', dest='no_relist', help=u'Do not relist the catalog after pushing an apb to the broker', default=False ) subcmd.add_argument( '--broker-name', action='store', dest='broker_name', help=u'Name of the ServiceBroker k8s resource', default=u'ansible-service-broker' ) subcmd.add_argument( '--push-to-broker', action='store_true', dest='broker_push', help=u'Use Broker development endpoint at /v2/apb/', default=False ) return
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push subcommand
[ "push", "subcommand" ]
train
https://github.com/ansibleplaybookbundle/ansible-playbook-bundle/blob/585694be9b417f1a88354cbfe286bfd68c2c9494/src/apb/cli.py#L190-L284
ansibleplaybookbundle/ansible-playbook-bundle
src/apb/cli.py
subcmd_remove_parser
def subcmd_remove_parser(subcmd): """ remove subcommand """ subcmd.add_argument( '--broker', action='store', dest='broker', help=u'Route to the Ansible Service Broker' ) subcmd.add_argument( '--local', '-l', action='store_true', dest='local', help=u'Remove image from internal OpenShift registry', default=False ) subcmd.add_argument( '--all', action='store_true', dest='all', help=u'Remove all stored APBs', default=False ) subcmd.add_argument( '--id', action='store', dest='id', help=u'ID of APB to remove' ) subcmd.add_argument( '--secure', action='store_true', dest='verify', help=u'Verify SSL connection to Ansible Service Broker', default=False ) subcmd.add_argument( '--ca-path', action='store', dest='cert', help=u'CA cert to use for verifying SSL connection to Ansible Service Broker', default=None ) subcmd.add_argument( '--username', '-u', action='store', default=None, dest='basic_auth_username', help=u'Specify the basic auth username to be used' ) subcmd.add_argument( '--password', '-p', action='store', default=None, dest='basic_auth_password', help=u'Specify the basic auth password to be used' ) subcmd.add_argument( '--no-relist', action='store_true', dest='no_relist', help=u'Do not relist the catalog after pushing an apb to the broker', default=False ) subcmd.add_argument( '--broker-name', action='store', dest='broker_name', help=u'Name of the ServiceBroker k8s resource', default=u'ansible-service-broker' ) return
python
def subcmd_remove_parser(subcmd): subcmd.add_argument( '--broker', action='store', dest='broker', help=u'Route to the Ansible Service Broker' ) subcmd.add_argument( '--local', '-l', action='store_true', dest='local', help=u'Remove image from internal OpenShift registry', default=False ) subcmd.add_argument( '--all', action='store_true', dest='all', help=u'Remove all stored APBs', default=False ) subcmd.add_argument( '--id', action='store', dest='id', help=u'ID of APB to remove' ) subcmd.add_argument( '--secure', action='store_true', dest='verify', help=u'Verify SSL connection to Ansible Service Broker', default=False ) subcmd.add_argument( '--ca-path', action='store', dest='cert', help=u'CA cert to use for verifying SSL connection to Ansible Service Broker', default=None ) subcmd.add_argument( '--username', '-u', action='store', default=None, dest='basic_auth_username', help=u'Specify the basic auth username to be used' ) subcmd.add_argument( '--password', '-p', action='store', default=None, dest='basic_auth_password', help=u'Specify the basic auth password to be used' ) subcmd.add_argument( '--no-relist', action='store_true', dest='no_relist', help=u'Do not relist the catalog after pushing an apb to the broker', default=False ) subcmd.add_argument( '--broker-name', action='store', dest='broker_name', help=u'Name of the ServiceBroker k8s resource', default=u'ansible-service-broker' ) return
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remove subcommand
[ "remove", "subcommand" ]
train
https://github.com/ansibleplaybookbundle/ansible-playbook-bundle/blob/585694be9b417f1a88354cbfe286bfd68c2c9494/src/apb/cli.py#L287-L359
ansibleplaybookbundle/ansible-playbook-bundle
src/apb/cli.py
subcmd_bootstrap_parser
def subcmd_bootstrap_parser(subcmd): """ bootstrap subcommand """ subcmd.add_argument( '--broker', action='store', dest='broker', help=u'Route to the Ansible Service Broker' ) subcmd.add_argument( '--secure', action='store_true', dest='verify', help=u'Verify SSL connection to Ansible Service Broker', default=False ) subcmd.add_argument( '--ca-path', action='store', dest='cert', help=u'CA cert to use for verifying SSL connection to Ansible Service Broker', default=None ) subcmd.add_argument( '--no-relist', action='store_true', dest='no_relist', help=u'Do not relist the catalog after bootstrapping the broker', default=False ) subcmd.add_argument( '--username', '-u', action='store', default=None, dest='basic_auth_username', help=u'Specify the basic auth username to be used' ) subcmd.add_argument( '--password', '-p', action='store', default=None, dest='basic_auth_password', help=u'Specify the basic auth password to be used' ) subcmd.add_argument( '--broker-name', action='store', dest='broker_name', help=u'Name of the ServiceBroker k8s resource', default=u'ansible-service-broker' ) return
python
def subcmd_bootstrap_parser(subcmd): subcmd.add_argument( '--broker', action='store', dest='broker', help=u'Route to the Ansible Service Broker' ) subcmd.add_argument( '--secure', action='store_true', dest='verify', help=u'Verify SSL connection to Ansible Service Broker', default=False ) subcmd.add_argument( '--ca-path', action='store', dest='cert', help=u'CA cert to use for verifying SSL connection to Ansible Service Broker', default=None ) subcmd.add_argument( '--no-relist', action='store_true', dest='no_relist', help=u'Do not relist the catalog after bootstrapping the broker', default=False ) subcmd.add_argument( '--username', '-u', action='store', default=None, dest='basic_auth_username', help=u'Specify the basic auth username to be used' ) subcmd.add_argument( '--password', '-p', action='store', default=None, dest='basic_auth_password', help=u'Specify the basic auth password to be used' ) subcmd.add_argument( '--broker-name', action='store', dest='broker_name', help=u'Name of the ServiceBroker k8s resource', default=u'ansible-service-broker' ) return
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bootstrap subcommand
[ "bootstrap", "subcommand" ]
train
https://github.com/ansibleplaybookbundle/ansible-playbook-bundle/blob/585694be9b417f1a88354cbfe286bfd68c2c9494/src/apb/cli.py#L362-L414
ansibleplaybookbundle/ansible-playbook-bundle
src/apb/cli.py
subcmd_run_parser
def subcmd_run_parser(subcmd): """ provision subcommand """ subcmd.add_argument( '--project', action='store', dest='project', required=True, help=u'Project where the APB should be run' ) subcmd.add_argument( '--action', action='store', dest='action', required=False, help=u'The action to perform when running the APB', default='provision' ) subcmd.add_argument( '--registry-service-name', action='store', dest='reg_svc_name', help=u'Name of service for internal OpenShift registry', default=u'docker-registry' ) subcmd.add_argument( '--registry-namespace', action='store', dest='reg_namespace', help=u'Namespace of internal OpenShift registry', default=u'default' ) subcmd.add_argument( '--namespace', action='store', dest='namespace', help=u'Namespace to push APB in OpenShift registry', default=u'openshift' ) subcmd.add_argument( '--registry-route', action='store', dest='reg_route', help=u'Route of internal OpenShift registry' ) subcmd.add_argument( '--dockerfile', '-f', action='store', dest='dockerfile', help=u'Dockerfile to build internal registry image with', default=u'Dockerfile' ) return
python
def subcmd_run_parser(subcmd): subcmd.add_argument( '--project', action='store', dest='project', required=True, help=u'Project where the APB should be run' ) subcmd.add_argument( '--action', action='store', dest='action', required=False, help=u'The action to perform when running the APB', default='provision' ) subcmd.add_argument( '--registry-service-name', action='store', dest='reg_svc_name', help=u'Name of service for internal OpenShift registry', default=u'docker-registry' ) subcmd.add_argument( '--registry-namespace', action='store', dest='reg_namespace', help=u'Namespace of internal OpenShift registry', default=u'default' ) subcmd.add_argument( '--namespace', action='store', dest='namespace', help=u'Namespace to push APB in OpenShift registry', default=u'openshift' ) subcmd.add_argument( '--registry-route', action='store', dest='reg_route', help=u'Route of internal OpenShift registry' ) subcmd.add_argument( '--dockerfile', '-f', action='store', dest='dockerfile', help=u'Dockerfile to build internal registry image with', default=u'Dockerfile' ) return
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provision subcommand
[ "provision", "subcommand" ]
train
https://github.com/ansibleplaybookbundle/ansible-playbook-bundle/blob/585694be9b417f1a88354cbfe286bfd68c2c9494/src/apb/cli.py#L461-L513
ansibleplaybookbundle/ansible-playbook-bundle
src/apb/cli.py
subcmd_relist_parser
def subcmd_relist_parser(subcmd): """ relist subcommand """ subcmd.add_argument( '--broker-name', action='store', dest='broker_name', help=u'Name of the ServiceBroker k8s resource', default=u'ansible-service-broker' ) subcmd.add_argument( '--secure', action='store_true', dest='verify', help=u'Verify SSL connection to Ansible Service Broker', default=False ) subcmd.add_argument( '--ca-path', action='store', dest='cert', help=u'CA cert to use for verifying SSL connection to Ansible Service Broker', default=None ) subcmd.add_argument( '--username', '-u', action='store', default=None, dest='basic_auth_username', help=u'Specify the basic auth username to be used' ) subcmd.add_argument( '--password', '-p', action='store', default=None, dest='basic_auth_password', help=u'Specify the basic auth password to be used' ) return
python
def subcmd_relist_parser(subcmd): subcmd.add_argument( '--broker-name', action='store', dest='broker_name', help=u'Name of the ServiceBroker k8s resource', default=u'ansible-service-broker' ) subcmd.add_argument( '--secure', action='store_true', dest='verify', help=u'Verify SSL connection to Ansible Service Broker', default=False ) subcmd.add_argument( '--ca-path', action='store', dest='cert', help=u'CA cert to use for verifying SSL connection to Ansible Service Broker', default=None ) subcmd.add_argument( '--username', '-u', action='store', default=None, dest='basic_auth_username', help=u'Specify the basic auth username to be used' ) subcmd.add_argument( '--password', '-p', action='store', default=None, dest='basic_auth_password', help=u'Specify the basic auth password to be used' ) return
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relist subcommand
[ "relist", "subcommand" ]
train
https://github.com/ansibleplaybookbundle/ansible-playbook-bundle/blob/585694be9b417f1a88354cbfe286bfd68c2c9494/src/apb/cli.py#L524-L563
ansibleplaybookbundle/ansible-playbook-bundle
src/apb/cli.py
main
def main(): """ main """ # BZ 1581651 - Override the ArgumentParser to disable argument abbreviations. parser = OverrideArgumentParser( description=u'APB tooling for ' u'assisting in building and packaging APBs.' ) parser.add_argument( '--debug', action='store_true', dest='debug', help=u'Enable debug output', default=False ) # TODO: Modify project to accept relative paths parser.add_argument( '--project', '-p', action='store', dest='base_path', help=u'Specify a path to your project. Defaults to CWD.', default=os.getcwd() ) parser.add_argument( '--token', action='store', dest='auth_token', help=u'Specify OpenShift auth token to be used', default=None ) subparsers = parser.add_subparsers(title='subcommand', dest='subcommand') subparsers.required = True for subcommand in AVAILABLE_COMMANDS: subparser = subparsers.add_parser( subcommand, help=AVAILABLE_COMMANDS[subcommand] ) globals()['subcmd_%s_parser' % subcommand](subparser) args = parser.parse_args() if args.subcommand == 'help': parser.print_help() sys.exit(0) if args.subcommand == 'version': version = pkg_resources.require("apb")[0].version print("Version: apb-%s" % version) sys.exit(0) try: getattr(apb.engine, u'cmdrun_{}'.format(args.subcommand))(**vars(args)) except Exception as e: print("Exception occurred! %s" % e) sys.exit(1)
python
def main(): parser = OverrideArgumentParser( description=u'APB tooling for ' u'assisting in building and packaging APBs.' ) parser.add_argument( '--debug', action='store_true', dest='debug', help=u'Enable debug output', default=False ) parser.add_argument( '--project', '-p', action='store', dest='base_path', help=u'Specify a path to your project. Defaults to CWD.', default=os.getcwd() ) parser.add_argument( '--token', action='store', dest='auth_token', help=u'Specify OpenShift auth token to be used', default=None ) subparsers = parser.add_subparsers(title='subcommand', dest='subcommand') subparsers.required = True for subcommand in AVAILABLE_COMMANDS: subparser = subparsers.add_parser( subcommand, help=AVAILABLE_COMMANDS[subcommand] ) globals()['subcmd_%s_parser' % subcommand](subparser) args = parser.parse_args() if args.subcommand == 'help': parser.print_help() sys.exit(0) if args.subcommand == 'version': version = pkg_resources.require("apb")[0].version print("Version: apb-%s" % version) sys.exit(0) try: getattr(apb.engine, u'cmdrun_{}'.format(args.subcommand))(**vars(args)) except Exception as e: print("Exception occurred! %s" % e) sys.exit(1)
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main
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train
https://github.com/ansibleplaybookbundle/ansible-playbook-bundle/blob/585694be9b417f1a88354cbfe286bfd68c2c9494/src/apb/cli.py#L686-L745
jrialland/python-astar
src/astar/__init__.py
find_path
def find_path(start, goal, neighbors_fnct, reversePath=False, heuristic_cost_estimate_fnct=lambda a, b: Infinite, distance_between_fnct=lambda a, b: 1.0, is_goal_reached_fnct=lambda a, b: a == b): """A non-class version of the path finding algorithm""" class FindPath(AStar): def heuristic_cost_estimate(self, current, goal): return heuristic_cost_estimate_fnct(current, goal) def distance_between(self, n1, n2): return distance_between_fnct(n1, n2) def neighbors(self, node): return neighbors_fnct(node) def is_goal_reached(self, current, goal): return is_goal_reached_fnct(current, goal) return FindPath().astar(start, goal, reversePath)
python
def find_path(start, goal, neighbors_fnct, reversePath=False, heuristic_cost_estimate_fnct=lambda a, b: Infinite, distance_between_fnct=lambda a, b: 1.0, is_goal_reached_fnct=lambda a, b: a == b): class FindPath(AStar): def heuristic_cost_estimate(self, current, goal): return heuristic_cost_estimate_fnct(current, goal) def distance_between(self, n1, n2): return distance_between_fnct(n1, n2) def neighbors(self, node): return neighbors_fnct(node) def is_goal_reached(self, current, goal): return is_goal_reached_fnct(current, goal) return FindPath().astar(start, goal, reversePath)
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A non-class version of the path finding algorithm
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train
https://github.com/jrialland/python-astar/blob/7a3f5b33bedd03bd09792fe0d5b6fe28d50f9514/src/astar/__init__.py#L109-L124
frictionlessdata/goodtables-py
goodtables/registry.py
preset
def preset(name): """https://github.com/frictionlessdata/goodtables-py#custom-presets """ def decorator(func): registry.register_preset(func, name) return func return decorator
python
def preset(name): def decorator(func): registry.register_preset(func, name) return func return decorator
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https://github.com/frictionlessdata/goodtables-py#custom-presets
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train
https://github.com/frictionlessdata/goodtables-py/blob/3e7d6891d2f4e342dfafbe0e951e204ccc252a44/goodtables/registry.py#L17-L23
frictionlessdata/goodtables-py
goodtables/registry.py
check
def check(name, type=None, context=None, position=None): """https://github.com/frictionlessdata/goodtables-py#custom-checks """ def decorator(func): registry.register_check(func, name, type, context, position) return func return decorator
python
def check(name, type=None, context=None, position=None): def decorator(func): registry.register_check(func, name, type, context, position) return func return decorator
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https://github.com/frictionlessdata/goodtables-py#custom-checks
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train
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frictionlessdata/goodtables-py
goodtables/validate.py
validate
def validate(source, **options): """Validates a source file and returns a report. Args: source (Union[str, Dict, List[Dict], IO]): The source to be validated. It can be a local file path, URL, dict, list of dicts, or a file-like object. If it's a list of dicts and the `preset` is "nested", each of the dict key's will be used as if it was passed as a keyword argument to this method. The file can be a CSV, XLS, JSON, and any other format supported by `tabulator`_. Keyword Args: checks (List[str]): List of checks names to be enabled. They can be individual check names (e.g. `blank-headers`), or check types (e.g. `structure`). skip_checks (List[str]): List of checks names to be skipped. They can be individual check names (e.g. `blank-headers`), or check types (e.g. `structure`). infer_schema (bool): Infer schema if one wasn't passed as an argument. infer_fields (bool): Infer schema for columns not present in the received schema. order_fields (bool): Order source columns based on schema fields order. This is useful when you don't want to validate that the data columns' order is the same as the schema's. error_limit (int): Stop validation if the number of errors per table exceeds this value. table_limit (int): Maximum number of tables to validate. row_limit (int): Maximum number of rows to validate. preset (str): Dataset type could be `table` (default), `datapackage`, `nested` or custom. Usually, the preset can be inferred from the source, so you don't need to define it. Any (Any): Any additional arguments not defined here will be passed on, depending on the chosen `preset`. If the `preset` is `table`, the extra arguments will be passed on to `tabulator`_, if it is `datapackage`, they will be passed on to the `datapackage`_ constructor. # Table preset schema (Union[str, Dict, IO]): The Table Schema for the source. headers (Union[int, List[str]): Either the row number that contains the headers, or a list with them. If the row number is given, ????? scheme (str): The scheme used to access the source (e.g. `file`, `http`). This is usually inferred correctly from the source. See the `tabulator`_ documentation for the list of supported schemes. format (str): Format of the source data (`csv`, `datapackage`, ...). This is usually inferred correctly from the source. See the the `tabulator`_ documentation for the list of supported formats. encoding (str): Encoding of the source. skip_rows (Union[int, List[Union[int, str]]]): Row numbers or a string. Rows beginning with the string will be ignored (e.g. '#', '//'). Raises: GoodtablesException: Raised on any non-tabular error. Returns: dict: The validation report. .. _tabulator: https://github.com/frictionlessdata/tabulator-py .. _tabulator_schemes: https://github.com/frictionlessdata/tabulator-py .. _tabulator: https://github.com/frictionlessdata/datapackage-py """ source, options, inspector_settings = _parse_arguments(source, **options) # Validate inspector = Inspector(**inspector_settings) report = inspector.inspect(source, **options) return report
python
def validate(source, **options): source, options, inspector_settings = _parse_arguments(source, **options) inspector = Inspector(**inspector_settings) report = inspector.inspect(source, **options) return report
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train
https://github.com/frictionlessdata/goodtables-py/blob/3e7d6891d2f4e342dfafbe0e951e204ccc252a44/goodtables/validate.py#L13-L87
frictionlessdata/goodtables-py
goodtables/validate.py
init_datapackage
def init_datapackage(resource_paths): """Create tabular data package with resources. It will also infer the tabular resources' schemas. Args: resource_paths (List[str]): Paths to the data package resources. Returns: datapackage.Package: The data package. """ dp = datapackage.Package({ 'name': 'change-me', 'schema': 'tabular-data-package', }) for path in resource_paths: dp.infer(path) return dp
python
def init_datapackage(resource_paths): dp = datapackage.Package({ 'name': 'change-me', 'schema': 'tabular-data-package', }) for path in resource_paths: dp.infer(path) return dp
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Create tabular data package with resources. It will also infer the tabular resources' schemas. Args: resource_paths (List[str]): Paths to the data package resources. Returns: datapackage.Package: The data package.
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train
https://github.com/frictionlessdata/goodtables-py/blob/3e7d6891d2f4e342dfafbe0e951e204ccc252a44/goodtables/validate.py#L90-L109
frictionlessdata/goodtables-py
goodtables/cli.py
init
def init(paths, output, **kwargs): """Init data package from list of files. It will also infer tabular data's schemas from their contents. """ dp = goodtables.init_datapackage(paths) click.secho( json_module.dumps(dp.descriptor, indent=4), file=output ) exit(dp.valid)
python
def init(paths, output, **kwargs): dp = goodtables.init_datapackage(paths) click.secho( json_module.dumps(dp.descriptor, indent=4), file=output ) exit(dp.valid)
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Init data package from list of files. It will also infer tabular data's schemas from their contents.
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train
https://github.com/frictionlessdata/goodtables-py/blob/3e7d6891d2f4e342dfafbe0e951e204ccc252a44/goodtables/cli.py#L121-L133
frictionlessdata/goodtables-py
goodtables/inspector.py
_clean_empty
def _clean_empty(d): """Remove None values from a dict.""" if not isinstance(d, (dict, list)): return d if isinstance(d, list): return [v for v in (_clean_empty(v) for v in d) if v is not None] return { k: v for k, v in ((k, _clean_empty(v)) for k, v in d.items()) if v is not None }
python
def _clean_empty(d): if not isinstance(d, (dict, list)): return d if isinstance(d, list): return [v for v in (_clean_empty(v) for v in d) if v is not None] return { k: v for k, v in ((k, _clean_empty(v)) for k, v in d.items()) if v is not None }
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Remove None values from a dict.
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train
https://github.com/frictionlessdata/goodtables-py/blob/3e7d6891d2f4e342dfafbe0e951e204ccc252a44/goodtables/inspector.py#L330-L340
frictionlessdata/goodtables-py
goodtables/inspector.py
Inspector.inspect
def inspect(self, source, preset=None, **options): """https://github.com/frictionlessdata/goodtables-py#inspector """ # Start timer start = datetime.datetime.now() # Prepare preset preset = self.__get_source_preset(source, preset) if preset == 'nested': options['presets'] = self.__presets for s in source: if s.get('preset') is None: s['preset'] = self.__get_source_preset(s['source']) # Prepare tables preset_func = self.__get_preset(preset)['func'] warnings, tables = preset_func(source, **options) if len(tables) > self.__table_limit: warnings.append( 'Dataset inspection has reached %s table(s) limit' % (self.__table_limit)) tables = tables[:self.__table_limit] # Collect table reports table_reports = [] if tables: tasks = [] pool = ThreadPool(processes=len(tables)) try: for table in tables: tasks.append(pool.apply_async(self.__inspect_table, (table,))) for task in tasks: table_warnings, table_report = task.get() warnings.extend(table_warnings) table_reports.append(table_report) finally: pool.terminate() # Stop timer stop = datetime.datetime.now() # Compose report report = { 'time': round((stop - start).total_seconds(), 3), 'valid': all(item['valid'] for item in table_reports), 'error-count': sum(len(item['errors']) for item in table_reports), 'table-count': len(tables), 'tables': table_reports, 'warnings': warnings, 'preset': preset, } return report
python
def inspect(self, source, preset=None, **options): start = datetime.datetime.now() preset = self.__get_source_preset(source, preset) if preset == 'nested': options['presets'] = self.__presets for s in source: if s.get('preset') is None: s['preset'] = self.__get_source_preset(s['source']) preset_func = self.__get_preset(preset)['func'] warnings, tables = preset_func(source, **options) if len(tables) > self.__table_limit: warnings.append( 'Dataset inspection has reached %s table(s) limit' % (self.__table_limit)) tables = tables[:self.__table_limit] table_reports = [] if tables: tasks = [] pool = ThreadPool(processes=len(tables)) try: for table in tables: tasks.append(pool.apply_async(self.__inspect_table, (table,))) for task in tasks: table_warnings, table_report = task.get() warnings.extend(table_warnings) table_reports.append(table_report) finally: pool.terminate() stop = datetime.datetime.now() report = { 'time': round((stop - start).total_seconds(), 3), 'valid': all(item['valid'] for item in table_reports), 'error-count': sum(len(item['errors']) for item in table_reports), 'table-count': len(tables), 'tables': table_reports, 'warnings': warnings, 'preset': preset, } return report
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https://github.com/frictionlessdata/goodtables-py#inspector
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train
https://github.com/frictionlessdata/goodtables-py/blob/3e7d6891d2f4e342dfafbe0e951e204ccc252a44/goodtables/inspector.py#L51-L104
frictionlessdata/goodtables-py
goodtables/cells.py
create_cells
def create_cells(headers, schema_fields, values=None, row_number=None): """Create list of cells from headers, fields and values. Args: headers (List[str]): The headers values. schema_fields (List[tableschema.field.Field]): The tableschema fields. values (List[Any], optional): The cells values. If not specified, the created cells will have the same values as their corresponding headers. This is useful for specifying headers cells. If the list has any `None` values, as is the case on empty cells, the resulting Cell will have an empty string value. If the `values` list has a different length than the `headers`, the resulting Cell will have value `None`. row_number (int, optional): The row number. Returns: List[dict]: List of cells. """ fillvalue = '_fillvalue' is_header_row = (values is None) cells = [] iterator = zip_longest(headers, schema_fields, values or [], fillvalue=fillvalue) for column_number, (header, field, value) in enumerate(iterator, start=1): if header == fillvalue: header = None elif is_header_row: value = header if field == fillvalue: field = None if value == fillvalue: value = None elif value is None: value = '' cell = create_cell(header, value, field, column_number, row_number) cells.append(cell) return cells
python
def create_cells(headers, schema_fields, values=None, row_number=None): fillvalue = '_fillvalue' is_header_row = (values is None) cells = [] iterator = zip_longest(headers, schema_fields, values or [], fillvalue=fillvalue) for column_number, (header, field, value) in enumerate(iterator, start=1): if header == fillvalue: header = None elif is_header_row: value = header if field == fillvalue: field = None if value == fillvalue: value = None elif value is None: value = '' cell = create_cell(header, value, field, column_number, row_number) cells.append(cell) return cells
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train
https://github.com/frictionlessdata/goodtables-py/blob/3e7d6891d2f4e342dfafbe0e951e204ccc252a44/goodtables/cells.py#L4-L44
unixfreak0037/officeparser
officeparser.py
CompoundBinaryFile.__impl_read_chain
def __impl_read_chain(self, start, read_sector_f, read_fat_f): """Returns the entire contents of a chain starting at the given sector.""" sector = start check = [ sector ] # keep a list of sectors we've already read buffer = StringIO() while sector != ENDOFCHAIN: buffer.write(read_sector_f(sector)) next = read_fat_f(sector) if next in check: logging.error('infinite loop detected at {0} to {1} starting at {2}'.format( sector, next, sector_start)) return buffer.getvalue() check.append(next) sector = next return buffer.getvalue()
python
def __impl_read_chain(self, start, read_sector_f, read_fat_f): sector = start check = [ sector ] buffer = StringIO() while sector != ENDOFCHAIN: buffer.write(read_sector_f(sector)) next = read_fat_f(sector) if next in check: logging.error('infinite loop detected at {0} to {1} starting at {2}'.format( sector, next, sector_start)) return buffer.getvalue() check.append(next) sector = next return buffer.getvalue()
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Returns the entire contents of a chain starting at the given sector.
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train
https://github.com/unixfreak0037/officeparser/blob/42c2d40372fe271f2039ca1adc145d2aef8c9545/officeparser.py#L247-L261