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fhcrc/taxtastic
taxtastic/refpkg.py
Refpkg.update_metadata
def update_metadata(self, key, value): """Set *key* in the metadata to *value*. Returns the previous value of *key*, or None if the key was not previously set. """ old_value = self.contents['metadata'].get(key) self.contents['metadata'][key] = value self._log('Up...
python
def update_metadata(self, key, value): """Set *key* in the metadata to *value*. Returns the previous value of *key*, or None if the key was not previously set. """ old_value = self.contents['metadata'].get(key) self.contents['metadata'][key] = value self._log('Up...
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Set *key* in the metadata to *value*. Returns the previous value of *key*, or None if the key was not previously set.
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train
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fhcrc/taxtastic
taxtastic/refpkg.py
Refpkg.update_file
def update_file(self, key, new_path): """Insert file *new_path* into the refpkg under *key*. The filename of *new_path* will be preserved in the refpkg unless it would conflict with a previously existing file, in which case a suffix is appended which makes it unique. The previo...
python
def update_file(self, key, new_path): """Insert file *new_path* into the refpkg under *key*. The filename of *new_path* will be preserved in the refpkg unless it would conflict with a previously existing file, in which case a suffix is appended which makes it unique. The previo...
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train
https://github.com/fhcrc/taxtastic/blob/4e874b7f2cc146178828bfba386314f8c342722b/taxtastic/refpkg.py#L455-L480
fhcrc/taxtastic
taxtastic/refpkg.py
Refpkg.reroot
def reroot(self, rppr=None, pretend=False): """Reroot the phylogenetic tree. This operation calls ``rppr reroot`` to generate the rerooted tree, so you must have ``pplacer`` and its auxiliary tools ``rppr`` and ``guppy`` installed for it to work. You can specify the path to ``r...
python
def reroot(self, rppr=None, pretend=False): """Reroot the phylogenetic tree. This operation calls ``rppr reroot`` to generate the rerooted tree, so you must have ``pplacer`` and its auxiliary tools ``rppr`` and ``guppy`` installed for it to work. You can specify the path to ``r...
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Reroot the phylogenetic tree. This operation calls ``rppr reroot`` to generate the rerooted tree, so you must have ``pplacer`` and its auxiliary tools ``rppr`` and ``guppy`` installed for it to work. You can specify the path to ``rppr`` by giving it as the *rppr* argument. ...
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train
https://github.com/fhcrc/taxtastic/blob/4e874b7f2cc146178828bfba386314f8c342722b/taxtastic/refpkg.py#L483-L501
fhcrc/taxtastic
taxtastic/refpkg.py
Refpkg.update_phylo_model
def update_phylo_model(self, stats_type, stats_file, frequency_type=None): """Parse a stats log and use it to update ``phylo_model``. ``pplacer`` expects its input to include the deatils of the phylogenetic model used for creating a tree in JSON format under the key ``phylo_model``, but...
python
def update_phylo_model(self, stats_type, stats_file, frequency_type=None): """Parse a stats log and use it to update ``phylo_model``. ``pplacer`` expects its input to include the deatils of the phylogenetic model used for creating a tree in JSON format under the key ``phylo_model``, but...
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Parse a stats log and use it to update ``phylo_model``. ``pplacer`` expects its input to include the deatils of the phylogenetic model used for creating a tree in JSON format under the key ``phylo_model``, but no program actually outputs that format. This function takes a log g...
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train
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fhcrc/taxtastic
taxtastic/refpkg.py
Refpkg.rollback
def rollback(self): """Revert the previous modification to the refpkg. """ # This is slightly complicated because of Python's freakish # assignment semantics and because we don't store multiple # copies of the log. if self.contents['rollback'] is None: raise V...
python
def rollback(self): """Revert the previous modification to the refpkg. """ # This is slightly complicated because of Python's freakish # assignment semantics and because we don't store multiple # copies of the log. if self.contents['rollback'] is None: raise V...
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train
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fhcrc/taxtastic
taxtastic/refpkg.py
Refpkg.rollforward
def rollforward(self): """Restore a reverted modification to the refpkg. """ if self.contents['rollforward'] is None: raise ValueError("No operation to roll forward on refpkg") new_log_message = self.contents['rollforward'][0] new_contents = self.contents['rollforward...
python
def rollforward(self): """Restore a reverted modification to the refpkg. """ if self.contents['rollforward'] is None: raise ValueError("No operation to roll forward on refpkg") new_log_message = self.contents['rollforward'][0] new_contents = self.contents['rollforward...
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train
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fhcrc/taxtastic
taxtastic/refpkg.py
Refpkg.strip
def strip(self): """Remove rollbacks, rollforwards, and all non-current files. When distributing a refpkg, you probably want to distribute as small a one as possible. strip removes everything from the refpkg which is not relevant to its current state. """ self._sync_fro...
python
def strip(self): """Remove rollbacks, rollforwards, and all non-current files. When distributing a refpkg, you probably want to distribute as small a one as possible. strip removes everything from the refpkg which is not relevant to its current state. """ self._sync_fro...
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fhcrc/taxtastic
taxtastic/refpkg.py
Refpkg.start_transaction
def start_transaction(self): """Begin a transaction to group operations on the refpkg. All the operations until the next call to ``commit_transaction`` will be recorded as a single operation for rollback and rollforward, and recorded with a single line in the log. """ ...
python
def start_transaction(self): """Begin a transaction to group operations on the refpkg. All the operations until the next call to ``commit_transaction`` will be recorded as a single operation for rollback and rollforward, and recorded with a single line in the log. """ ...
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fhcrc/taxtastic
taxtastic/refpkg.py
Refpkg.commit_transaction
def commit_transaction(self, log=None): """Commit a transaction, with *log* as the log entry.""" self.current_transaction['rollback'].pop('log') self.current_transaction['rollback'].pop('rollforward') self.contents['log'].insert( 0, log and log or self.current_transaction['lo...
python
def commit_transaction(self, log=None): """Commit a transaction, with *log* as the log entry.""" self.current_transaction['rollback'].pop('log') self.current_transaction['rollback'].pop('rollforward') self.contents['log'].insert( 0, log and log or self.current_transaction['lo...
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fhcrc/taxtastic
taxtastic/refpkg.py
Refpkg.is_ill_formed
def is_ill_formed(self): """Stronger set of checks than is_invalid for Refpkg. Checks that FASTA, Stockholm, JSON, and CSV files under known keys are all valid as well as calling is_invalid. Returns either False or a string describing the error. """ m = self.is_invalid(...
python
def is_ill_formed(self): """Stronger set of checks than is_invalid for Refpkg. Checks that FASTA, Stockholm, JSON, and CSV files under known keys are all valid as well as calling is_invalid. Returns either False or a string describing the error. """ m = self.is_invalid(...
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fhcrc/taxtastic
taxtastic/refpkg.py
Refpkg.load_db
def load_db(self): """Load the taxonomy into a sqlite3 database. This will set ``self.db`` to a sqlite3 database which contains all of the taxonomic information in the reference package. """ db = taxdb.Taxdb() db.create_tables() reader = csv.DictReader(self.open...
python
def load_db(self): """Load the taxonomy into a sqlite3 database. This will set ``self.db`` to a sqlite3 database which contains all of the taxonomic information in the reference package. """ db = taxdb.Taxdb() db.create_tables() reader = csv.DictReader(self.open...
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fhcrc/taxtastic
taxtastic/refpkg.py
Refpkg.most_recent_common_ancestor
def most_recent_common_ancestor(self, *ts): """Find the MRCA of some tax_ids. Returns the MRCA of the specified tax_ids, or raises ``NoAncestor`` if no ancestor of the specified tax_ids could be found. """ if len(ts) > 200: res = self._large_mrca(ts) else: ...
python
def most_recent_common_ancestor(self, *ts): """Find the MRCA of some tax_ids. Returns the MRCA of the specified tax_ids, or raises ``NoAncestor`` if no ancestor of the specified tax_ids could be found. """ if len(ts) > 200: res = self._large_mrca(ts) else: ...
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fhcrc/taxtastic
taxtastic/refpkg.py
Refpkg._large_mrca
def _large_mrca(self, ts): """Find the MRCA using a temporary table.""" cursor = self.db.cursor() cursor.execute(""" DROP TABLE IF EXISTS _mrca_temp """) cursor.execute(""" CREATE TEMPORARY TABLE _mrca_temp( child TEXT PRIMARY KEY REFEREN...
python
def _large_mrca(self, ts): """Find the MRCA using a temporary table.""" cursor = self.db.cursor() cursor.execute(""" DROP TABLE IF EXISTS _mrca_temp """) cursor.execute(""" CREATE TEMPORARY TABLE _mrca_temp( child TEXT PRIMARY KEY REFEREN...
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fhcrc/taxtastic
taxtastic/refpkg.py
Refpkg._small_mrca
def _small_mrca(self, ts): """Find a MRCA using query parameters. This only supports a limited number of tax_ids; ``_large_mrca`` will support an arbitrary number. """ cursor = self.db.cursor() qmarks = ', '.join('?' * len(ts)) cursor.execute(""" SELE...
python
def _small_mrca(self, ts): """Find a MRCA using query parameters. This only supports a limited number of tax_ids; ``_large_mrca`` will support an arbitrary number. """ cursor = self.db.cursor() qmarks = ', '.join('?' * len(ts)) cursor.execute(""" SELE...
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fhcrc/taxtastic
taxtastic/refpkg.py
Refpkg.file_abspath
def file_abspath(self, resource): """Deprecated alias for *resource_path*.""" warnings.warn( "file_abspath is deprecated; use resource_path instead", DeprecationWarning, stacklevel=2) return self.resource_path(resource)
python
def file_abspath(self, resource): """Deprecated alias for *resource_path*.""" warnings.warn( "file_abspath is deprecated; use resource_path instead", DeprecationWarning, stacklevel=2) return self.resource_path(resource)
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fhcrc/taxtastic
taxtastic/refpkg.py
Refpkg.file_name
def file_name(self, resource): """Deprecated alias for *resource_name*.""" warnings.warn( "file_name is deprecated; use resource_name instead", DeprecationWarning, stacklevel=2) return self.resource_name(resource)
python
def file_name(self, resource): """Deprecated alias for *resource_name*.""" warnings.warn( "file_name is deprecated; use resource_name instead", DeprecationWarning, stacklevel=2) return self.resource_name(resource)
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fhcrc/taxtastic
taxtastic/refpkg.py
Refpkg.file_md5
def file_md5(self, resource): """Deprecated alias for *resource_md5*.""" warnings.warn( "file_md5 is deprecated; use resource_md5 instead", DeprecationWarning, stacklevel=2) return self.resource_md5(resource)
python
def file_md5(self, resource): """Deprecated alias for *resource_md5*.""" warnings.warn( "file_md5 is deprecated; use resource_md5 instead", DeprecationWarning, stacklevel=2) return self.resource_md5(resource)
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seznam/shelter
shelter/main.py
get_app_settings
def get_app_settings(parser, known_args): """ Return **settings** module of the application according to either command line argument or **SHELTER_SETTINGS_MODULE** environment variable. """ args, dummy_remaining = parser.parse_known_args(known_args) settings_module_path = ( args.set...
python
def get_app_settings(parser, known_args): """ Return **settings** module of the application according to either command line argument or **SHELTER_SETTINGS_MODULE** environment variable. """ args, dummy_remaining = parser.parse_known_args(known_args) settings_module_path = ( args.set...
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Return **settings** module of the application according to either command line argument or **SHELTER_SETTINGS_MODULE** environment variable.
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seznam/shelter
shelter/main.py
get_management_commands
def get_management_commands(settings): """ Find registered managemend commands and return their classes as a :class:`dict`. Keys are names of the management command and values are classes of the management command. """ app_commands = getattr(settings, 'MANAGEMENT_COMMANDS', ()) commands = {}...
python
def get_management_commands(settings): """ Find registered managemend commands and return their classes as a :class:`dict`. Keys are names of the management command and values are classes of the management command. """ app_commands = getattr(settings, 'MANAGEMENT_COMMANDS', ()) commands = {}...
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Find registered managemend commands and return their classes as a :class:`dict`. Keys are names of the management command and values are classes of the management command.
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seznam/shelter
shelter/main.py
get_config_class
def get_config_class(settings): """ According to **settings.CONFIG_CLASS** return either config class defined by user or default :class:`shelter.core.config.Config`. """ config_cls_name = getattr(settings, 'CONFIG_CLASS', '') if config_cls_name: config_cls = import_object(config_cls_name...
python
def get_config_class(settings): """ According to **settings.CONFIG_CLASS** return either config class defined by user or default :class:`shelter.core.config.Config`. """ config_cls_name = getattr(settings, 'CONFIG_CLASS', '') if config_cls_name: config_cls = import_object(config_cls_name...
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According to **settings.CONFIG_CLASS** return either config class defined by user or default :class:`shelter.core.config.Config`.
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seznam/shelter
shelter/main.py
main
def main(args=None): """ Run management command handled from command line. """ # Base command line parser. Help is not allowed because command # line is parsed in two stages - in the first stage is found setting # module of the application, in the second stage are found management # command'...
python
def main(args=None): """ Run management command handled from command line. """ # Base command line parser. Help is not allowed because command # line is parsed in two stages - in the first stage is found setting # module of the application, in the second stage are found management # command'...
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seequent/vectormath
vectormath/vector.py
BaseVector.as_length
def as_length(self, value): """Return a new vector scaled to given length""" new_vec = self.copy() new_vec.length = value return new_vec
python
def as_length(self, value): """Return a new vector scaled to given length""" new_vec = self.copy() new_vec.length = value return new_vec
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seequent/vectormath
vectormath/vector.py
BaseVector.as_percent
def as_percent(self, value): """Return a new vector scaled by given decimal percent""" new_vec = self.copy() new_vec.length = value * self.length return new_vec
python
def as_percent(self, value): """Return a new vector scaled by given decimal percent""" new_vec = self.copy() new_vec.length = value * self.length return new_vec
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seequent/vectormath
vectormath/vector.py
BaseVector.dot
def dot(self, vec): """Dot product with another vector""" if not isinstance(vec, self.__class__): raise TypeError('Dot product operand must be a vector') return np.dot(self, vec)
python
def dot(self, vec): """Dot product with another vector""" if not isinstance(vec, self.__class__): raise TypeError('Dot product operand must be a vector') return np.dot(self, vec)
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seequent/vectormath
vectormath/vector.py
BaseVector.cross
def cross(self, vec): """Cross product with another vector""" if not isinstance(vec, self.__class__): raise TypeError('Cross product operand must be a vector') return self.__class__(np.cross(self, vec))
python
def cross(self, vec): """Cross product with another vector""" if not isinstance(vec, self.__class__): raise TypeError('Cross product operand must be a vector') return self.__class__(np.cross(self, vec))
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seequent/vectormath
vectormath/vector.py
BaseVector.angle
def angle(self, vec, unit='rad'): """Calculate the angle between two Vectors unit: unit for returned angle, either 'rad' or 'deg'. Defaults to 'rad' """ if not isinstance(vec, self.__class__): raise TypeError('Angle operand must be of class {}' .f...
python
def angle(self, vec, unit='rad'): """Calculate the angle between two Vectors unit: unit for returned angle, either 'rad' or 'deg'. Defaults to 'rad' """ if not isinstance(vec, self.__class__): raise TypeError('Angle operand must be of class {}' .f...
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seequent/vectormath
vectormath/vector.py
Vector3.phi
def phi(self): """Polar angle / inclination of this vector in radians Based on sperical coordinate space returns angle between this vector and the positive z-azis range: (0 <= phi <= pi) """ return np.arctan2(np.sqrt(self.x**2 + self.y**2), self.z)
python
def phi(self): """Polar angle / inclination of this vector in radians Based on sperical coordinate space returns angle between this vector and the positive z-azis range: (0 <= phi <= pi) """ return np.arctan2(np.sqrt(self.x**2 + self.y**2), self.z)
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seequent/vectormath
vectormath/vector.py
Vector2.cross
def cross(self, vec): """Cross product with another vector""" if not isinstance(vec, self.__class__): raise TypeError('Cross product operand must be a vector') return Vector3(0, 0, np.asscalar(np.cross(self, vec)))
python
def cross(self, vec): """Cross product with another vector""" if not isinstance(vec, self.__class__): raise TypeError('Cross product operand must be a vector') return Vector3(0, 0, np.asscalar(np.cross(self, vec)))
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seequent/vectormath
vectormath/vector.py
BaseVectorArray.length
def length(self): """Array of vector lengths""" return np.sqrt(np.sum(self**2, axis=1)).view(np.ndarray)
python
def length(self): """Array of vector lengths""" return np.sqrt(np.sum(self**2, axis=1)).view(np.ndarray)
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seequent/vectormath
vectormath/vector.py
BaseVectorArray.dot
def dot(self, vec): """Dot product with another vector""" if not isinstance(vec, self.__class__): raise TypeError('Dot product operand must be a VectorArray') if self.nV != 1 and vec.nV != 1 and self.nV != vec.nV: raise ValueError('Dot product operands must have the same ...
python
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seequent/vectormath
vectormath/vector.py
Vector3Array.cross
def cross(self, vec): """Cross product with another Vector3Array""" if not isinstance(vec, Vector3Array): raise TypeError('Cross product operand must be a Vector3Array') if self.nV != 1 and vec.nV != 1 and self.nV != vec.nV: raise ValueError('Cross product operands must h...
python
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amicks/Speculator
speculator/features/RSI.py
RSI.eval_rs
def eval_rs(gains, losses): """ Evaluates the RS variable in RSI algorithm Args: gains: List of price gains. losses: List of prices losses. Returns: Float of average gains over average losses. """ # Number of days that the data was collected ...
python
def eval_rs(gains, losses): """ Evaluates the RS variable in RSI algorithm Args: gains: List of price gains. losses: List of prices losses. Returns: Float of average gains over average losses. """ # Number of days that the data was collected ...
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amicks/Speculator
speculator/features/RSI.py
RSI.eval_from_json
def eval_from_json(json): """ Evaluates RSI from JSON (typically Poloniex API response) Args: json: List of dates where each entry is a dict of raw market data. Returns: Float between 0 and 100, momentum indicator of a market measuring the speed and change o...
python
def eval_from_json(json): """ Evaluates RSI from JSON (typically Poloniex API response) Args: json: List of dates where each entry is a dict of raw market data. Returns: Float between 0 and 100, momentum indicator of a market measuring the speed and change o...
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seznam/shelter
shelter/core/commands.py
BaseCommand.sigusr1_handler
def sigusr1_handler(self, unused_signum, unused_frame): """ Handle SIGUSR1 signal. Call function which is defined in the **settings.SIGUSR1_HANDLER**. """ if self._sigusr1_handler_func is not None: self._sigusr1_handler_func(self.context)
python
def sigusr1_handler(self, unused_signum, unused_frame): """ Handle SIGUSR1 signal. Call function which is defined in the **settings.SIGUSR1_HANDLER**. """ if self._sigusr1_handler_func is not None: self._sigusr1_handler_func(self.context)
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seznam/shelter
shelter/core/commands.py
BaseCommand.sigusr2_handler
def sigusr2_handler(self, unused_signum, unused_frame): """ Handle SIGUSR2 signal. Call function which is defined in the **settings.SIGUSR2_HANDLER**. """ if self._sigusr1_handler_func is not None: self._sigusr2_handler_func(self.context)
python
def sigusr2_handler(self, unused_signum, unused_frame): """ Handle SIGUSR2 signal. Call function which is defined in the **settings.SIGUSR2_HANDLER**. """ if self._sigusr1_handler_func is not None: self._sigusr2_handler_func(self.context)
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fhcrc/taxtastic
taxtastic/subcommands/info.py
action
def action(args): """ Show information about reference packages. """ log.info('loading reference package') pkg = refpkg.Refpkg(args.refpkg, create=False) with open(pkg.file_abspath('seq_info'), 'rU') as seq_info: seqinfo = list(csv.DictReader(seq_info)) snames = [row['seqname']...
python
def action(args): """ Show information about reference packages. """ log.info('loading reference package') pkg = refpkg.Refpkg(args.refpkg, create=False) with open(pkg.file_abspath('seq_info'), 'rU') as seq_info: seqinfo = list(csv.DictReader(seq_info)) snames = [row['seqname']...
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Show information about reference packages.
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amicks/Speculator
speculator/utils/poloniex.py
json_to_url
def json_to_url(json, symbol): """ Converts a JSON to a URL by the Poloniex API Args: json: JSON data as a list of dict dates, where the keys are the raw market statistics. symbol: String of currency pair, like a ticker symbol. Returns: String URL to Poloniex API repre...
python
def json_to_url(json, symbol): """ Converts a JSON to a URL by the Poloniex API Args: json: JSON data as a list of dict dates, where the keys are the raw market statistics. symbol: String of currency pair, like a ticker symbol. Returns: String URL to Poloniex API repre...
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amicks/Speculator
speculator/utils/poloniex.py
chart_json
def chart_json(start, end, period, symbol): """ Requests chart data from Poloniex API Args: start: Int epoch date to START getting market stats from. Note that this epoch is FURTHER from the current date. end: Int epoch date to STOP getting market stats from. Note th...
python
def chart_json(start, end, period, symbol): """ Requests chart data from Poloniex API Args: start: Int epoch date to START getting market stats from. Note that this epoch is FURTHER from the current date. end: Int epoch date to STOP getting market stats from. Note th...
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amicks/Speculator
speculator/utils/poloniex.py
parse_changes
def parse_changes(json): """ Gets price changes from JSON Args: json: JSON data as a list of dict dates, where the keys are the raw market statistics. Returns: List of floats of price changes between entries in JSON. """ changes = [] dates = len(json) for date i...
python
def parse_changes(json): """ Gets price changes from JSON Args: json: JSON data as a list of dict dates, where the keys are the raw market statistics. Returns: List of floats of price changes between entries in JSON. """ changes = [] dates = len(json) for date i...
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amicks/Speculator
speculator/utils/poloniex.py
get_gains_losses
def get_gains_losses(changes): """ Categorizes changes into gains and losses Args: changes: List of floats of price changes between entries in JSON. Returns: Dict of changes with keys 'gains' and 'losses'. All values are positive. """ res = {'gains': [], 'losses': []} f...
python
def get_gains_losses(changes): """ Categorizes changes into gains and losses Args: changes: List of floats of price changes between entries in JSON. Returns: Dict of changes with keys 'gains' and 'losses'. All values are positive. """ res = {'gains': [], 'losses': []} f...
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amicks/Speculator
speculator/utils/poloniex.py
get_attribute
def get_attribute(json, attr): """ Gets the values of an attribute from JSON Args: json: JSON data as a list of dict dates, where the keys are the raw market statistics. attr: String of attribute in JSON file to collect. Returns: List of values of specified attribute fr...
python
def get_attribute(json, attr): """ Gets the values of an attribute from JSON Args: json: JSON data as a list of dict dates, where the keys are the raw market statistics. attr: String of attribute in JSON file to collect. Returns: List of values of specified attribute fr...
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https://github.com/amicks/Speculator/blob/f7d6590aded20b1e1b5df16a4b27228ee821c4ab/speculator/utils/poloniex.py#L115-L128
amicks/Speculator
speculator/utils/poloniex.py
get_json_shift
def get_json_shift(year, month, day, unit, count, period, symbol): """ Gets JSON from shifted date by the Poloniex API Args: year: Int between 1 and 9999. month: Int between 1 and 12. day: Int between 1 and 31. unit: String of time period unit for count argument. How...
python
def get_json_shift(year, month, day, unit, count, period, symbol): """ Gets JSON from shifted date by the Poloniex API Args: year: Int between 1 and 9999. month: Int between 1 and 12. day: Int between 1 and 31. unit: String of time period unit for count argument. How...
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Gets JSON from shifted date by the Poloniex API Args: year: Int between 1 and 9999. month: Int between 1 and 12. day: Int between 1 and 31. unit: String of time period unit for count argument. How far back to check historical market data. Valid values: 'hour'...
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train
https://github.com/amicks/Speculator/blob/f7d6590aded20b1e1b5df16a4b27228ee821c4ab/speculator/utils/poloniex.py#L130-L149
fhcrc/taxtastic
taxtastic/subcommands/refpkg_intersection.py
filter_ranks
def filter_ranks(results): """ Find just the first rank for all the results for a given tax_id. """ for _, group in itertools.groupby(results, operator.itemgetter(0)): yield next(group)
python
def filter_ranks(results): """ Find just the first rank for all the results for a given tax_id. """ for _, group in itertools.groupby(results, operator.itemgetter(0)): yield next(group)
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amicks/Speculator
speculator/features/SO.py
SO.eval_algorithm
def eval_algorithm(closing, low, high): """ Evaluates the SO algorithm Args: closing: Float of current closing price. low: Float of lowest low closing price throughout some duration. high: Float of highest high closing price throughout some duration. Returns...
python
def eval_algorithm(closing, low, high): """ Evaluates the SO algorithm Args: closing: Float of current closing price. low: Float of lowest low closing price throughout some duration. high: Float of highest high closing price throughout some duration. Returns...
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train
https://github.com/amicks/Speculator/blob/f7d6590aded20b1e1b5df16a4b27228ee821c4ab/speculator/features/SO.py#L17-L31
amicks/Speculator
speculator/features/SO.py
SO.eval_from_json
def eval_from_json(json): """ Evaluates SO from JSON (typically Poloniex API response) Args: json: List of dates where each entry is a dict of raw market data. Returns: Float SO between 0 and 100. """ close = json[-1]['close'] # Latest closing price ...
python
def eval_from_json(json): """ Evaluates SO from JSON (typically Poloniex API response) Args: json: List of dates where each entry is a dict of raw market data. Returns: Float SO between 0 and 100. """ close = json[-1]['close'] # Latest closing price ...
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amicks/Speculator
speculator/utils/stats.py
avg
def avg(vals, count=None): """ Returns the average value Args: vals: List of numbers to calculate average from. count: Int of total count that vals was part of. Returns: Float average value throughout a count. """ sum = 0 for v in vals: sum += v if count is...
python
def avg(vals, count=None): """ Returns the average value Args: vals: List of numbers to calculate average from. count: Int of total count that vals was part of. Returns: Float average value throughout a count. """ sum = 0 for v in vals: sum += v if count is...
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train
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fhcrc/taxtastic
taxtastic/ncbi.py
db_connect
def db_connect(engine, schema=None, clobber=False): """Create a connection object to a database. Attempt to establish a schema. If there are existing tables, delete them if clobber is True and return otherwise. Returns a sqlalchemy engine object. """ if schema is None: base = declarative_b...
python
def db_connect(engine, schema=None, clobber=False): """Create a connection object to a database. Attempt to establish a schema. If there are existing tables, delete them if clobber is True and return otherwise. Returns a sqlalchemy engine object. """ if schema is None: base = declarative_b...
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fhcrc/taxtastic
taxtastic/ncbi.py
read_nodes
def read_nodes(rows, source_id=1): """ Return an iterator of rows ready to insert into table "nodes". * rows - iterator of lists (eg, output from read_archive or read_dmp) """ ncbi_keys = ['tax_id', 'parent_id', 'rank', 'embl_code', 'division_id'] extra_keys = ['source_id', 'is_valid'] is_...
python
def read_nodes(rows, source_id=1): """ Return an iterator of rows ready to insert into table "nodes". * rows - iterator of lists (eg, output from read_archive or read_dmp) """ ncbi_keys = ['tax_id', 'parent_id', 'rank', 'embl_code', 'division_id'] extra_keys = ['source_id', 'is_valid'] is_...
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fhcrc/taxtastic
taxtastic/ncbi.py
read_names
def read_names(rows, source_id=1): """Return an iterator of rows ready to insert into table "names". Adds columns "is_primary" (identifying the primary name for each tax_id with a vaule of 1) and "is_classified" (always None). * rows - iterator of lists (eg, output from read_archive or read_dmp) * ...
python
def read_names(rows, source_id=1): """Return an iterator of rows ready to insert into table "names". Adds columns "is_primary" (identifying the primary name for each tax_id with a vaule of 1) and "is_classified" (always None). * rows - iterator of lists (eg, output from read_archive or read_dmp) * ...
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fhcrc/taxtastic
taxtastic/ncbi.py
fetch_data
def fetch_data(dest_dir='.', clobber=False, url=DATA_URL): """ Download data from NCBI required to generate local taxonomy database. Default url is ncbi.DATA_URL * dest_dir - directory in which to save output files (created if necessary). * clobber - don't download if False and target of url exists...
python
def fetch_data(dest_dir='.', clobber=False, url=DATA_URL): """ Download data from NCBI required to generate local taxonomy database. Default url is ncbi.DATA_URL * dest_dir - directory in which to save output files (created if necessary). * clobber - don't download if False and target of url exists...
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fhcrc/taxtastic
taxtastic/ncbi.py
read_archive
def read_archive(archive, fname): """Return an iterator of unique rows from a zip archive. * archive - path to the zip archive. * fname - name of the compressed file within the archive. """ # Note that deduplication here is equivalent to an upsert/ignore, # but avoids requirement for a databa...
python
def read_archive(archive, fname): """Return an iterator of unique rows from a zip archive. * archive - path to the zip archive. * fname - name of the compressed file within the archive. """ # Note that deduplication here is equivalent to an upsert/ignore, # but avoids requirement for a databa...
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fhcrc/taxtastic
taxtastic/ncbi.py
NCBILoader.prepend_schema
def prepend_schema(self, name): """Prepend schema name to 'name' when a schema is specified """ return '.'.join([self.schema, name]) if self.schema else name
python
def prepend_schema(self, name): """Prepend schema name to 'name' when a schema is specified """ return '.'.join([self.schema, name]) if self.schema else name
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fhcrc/taxtastic
taxtastic/ncbi.py
NCBILoader.load_table
def load_table(self, table, rows, colnames=None, limit=None): """Load 'rows' into table 'table'. If 'colnames' is not provided, the first element of 'rows' must provide column names. """ conn = self.engine.raw_connection() cur = conn.cursor() colnames = colnames or nex...
python
def load_table(self, table, rows, colnames=None, limit=None): """Load 'rows' into table 'table'. If 'colnames' is not provided, the first element of 'rows' must provide column names. """ conn = self.engine.raw_connection() cur = conn.cursor() colnames = colnames or nex...
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fhcrc/taxtastic
taxtastic/ncbi.py
NCBILoader.load_archive
def load_archive(self, archive): """Load data from the zip archive of the NCBI taxonomy. """ # source self.load_table( 'source', rows=[('ncbi', DATA_URL)], colnames=['name', 'description'], ) conn = self.engine.raw_connection() ...
python
def load_archive(self, archive): """Load data from the zip archive of the NCBI taxonomy. """ # source self.load_table( 'source', rows=[('ncbi', DATA_URL)], colnames=['name', 'description'], ) conn = self.engine.raw_connection() ...
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amicks/Speculator
speculator/utils/date.py
date_to_delorean
def date_to_delorean(year, month, day): """ Converts date arguments to a Delorean instance in UTC Args: year: int between 1 and 9999. month: int between 1 and 12. day: int between 1 and 31. Returns: Delorean instance in UTC of date. """ return Delorean(datetime=...
python
def date_to_delorean(year, month, day): """ Converts date arguments to a Delorean instance in UTC Args: year: int between 1 and 9999. month: int between 1 and 12. day: int between 1 and 31. Returns: Delorean instance in UTC of date. """ return Delorean(datetime=...
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amicks/Speculator
speculator/utils/date.py
date_to_epoch
def date_to_epoch(year, month, day): """ Converts a date to epoch in UTC Args: year: int between 1 and 9999. month: int between 1 and 12. day: int between 1 and 31. Returns: Int epoch in UTC from date. """ return int(date_to_delorean(year, month, day).epoch)
python
def date_to_epoch(year, month, day): """ Converts a date to epoch in UTC Args: year: int between 1 and 9999. month: int between 1 and 12. day: int between 1 and 31. Returns: Int epoch in UTC from date. """ return int(date_to_delorean(year, month, day).epoch)
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amicks/Speculator
speculator/utils/date.py
shift_epoch
def shift_epoch(delorean, direction, unit, count): """ Gets the resulting epoch after a time shift of a Delorean Args: delorean: Delorean datetime instance to shift from. direction: String to shift time forwards or backwards. Valid values: 'last', 'next'. unit: String of...
python
def shift_epoch(delorean, direction, unit, count): """ Gets the resulting epoch after a time shift of a Delorean Args: delorean: Delorean datetime instance to shift from. direction: String to shift time forwards or backwards. Valid values: 'last', 'next'. unit: String of...
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amicks/Speculator
speculator/utils/date.py
generate_epochs
def generate_epochs(delorean, direction, unit, count): """ Generates epochs from a shifted Delorean instance Args: delorean: Delorean datetime instance to shift from. direction: String to shift time forwards or backwards. Valid values: 'last', 'next'. unit: String of tim...
python
def generate_epochs(delorean, direction, unit, count): """ Generates epochs from a shifted Delorean instance Args: delorean: Delorean datetime instance to shift from. direction: String to shift time forwards or backwards. Valid values: 'last', 'next'. unit: String of tim...
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amicks/Speculator
speculator/utils/date.py
get_end_start_epochs
def get_end_start_epochs(year, month, day, direction, unit, count): """ Gets epoch from a start date and epoch from a shifted date Args: year: Int between 1 and 9999. month: Int between 1 and 12. day: Int between 1 and 31. direction: String to shift time forwards or backwards. ...
python
def get_end_start_epochs(year, month, day, direction, unit, count): """ Gets epoch from a start date and epoch from a shifted date Args: year: Int between 1 and 9999. month: Int between 1 and 12. day: Int between 1 and 31. direction: String to shift time forwards or backwards. ...
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fhcrc/taxtastic
taxtastic/taxtable.py
TaxNode.add_child
def add_child(self, child): """ Add a child to this node. """ assert child != self child.parent = self child.ranks = self.ranks child.index = self.index assert child.tax_id not in self.index self.index[child.tax_id] = child self.children.ad...
python
def add_child(self, child): """ Add a child to this node. """ assert child != self child.parent = self child.ranks = self.ranks child.index = self.index assert child.tax_id not in self.index self.index[child.tax_id] = child self.children.ad...
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fhcrc/taxtastic
taxtastic/taxtable.py
TaxNode.remove_child
def remove_child(self, child): """ Remove a child from this node. """ assert child in self.children self.children.remove(child) self.index.pop(child.tax_id) if child.parent is self: child.parent = None if child.index is self.index: ...
python
def remove_child(self, child): """ Remove a child from this node. """ assert child in self.children self.children.remove(child) self.index.pop(child.tax_id) if child.parent is self: child.parent = None if child.index is self.index: ...
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Remove a child from this node.
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train
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fhcrc/taxtastic
taxtastic/taxtable.py
TaxNode.drop
def drop(self): """ Remove this node from the taxonomy, maintaining child subtrees by adding them to the node's parent, and moving sequences at this node to the parent. Not valid for root node. """ if self.is_root: raise ValueError("Cannot drop root n...
python
def drop(self): """ Remove this node from the taxonomy, maintaining child subtrees by adding them to the node's parent, and moving sequences at this node to the parent. Not valid for root node. """ if self.is_root: raise ValueError("Cannot drop root n...
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Remove this node from the taxonomy, maintaining child subtrees by adding them to the node's parent, and moving sequences at this node to the parent. Not valid for root node.
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train
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fhcrc/taxtastic
taxtastic/taxtable.py
TaxNode.prune_unrepresented
def prune_unrepresented(self): """ Remove nodes without sequences or children below this node. """ for node in self.depth_first_iter(self_first=False): if (not node.children and not node.sequence_ids and node is not self): ...
python
def prune_unrepresented(self): """ Remove nodes without sequences or children below this node. """ for node in self.depth_first_iter(self_first=False): if (not node.children and not node.sequence_ids and node is not self): ...
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Remove nodes without sequences or children below this node.
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train
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fhcrc/taxtastic
taxtastic/taxtable.py
TaxNode.at_rank
def at_rank(self, rank): """ Find the node above this node at rank ``rank`` """ s = self while s: if s.rank == rank: return s s = s.parent raise ValueError("No node at rank {0} for {1}".format( rank, self.tax_id))
python
def at_rank(self, rank): """ Find the node above this node at rank ``rank`` """ s = self while s: if s.rank == rank: return s s = s.parent raise ValueError("No node at rank {0} for {1}".format( rank, self.tax_id))
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Find the node above this node at rank ``rank``
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train
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fhcrc/taxtastic
taxtastic/taxtable.py
TaxNode.depth_first_iter
def depth_first_iter(self, self_first=True): """ Iterate over nodes below this node, optionally yielding children before self. """ if self_first: yield self for child in list(self.children): for i in child.depth_first_iter(self_first): ...
python
def depth_first_iter(self, self_first=True): """ Iterate over nodes below this node, optionally yielding children before self. """ if self_first: yield self for child in list(self.children): for i in child.depth_first_iter(self_first): ...
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Iterate over nodes below this node, optionally yielding children before self.
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train
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fhcrc/taxtastic
taxtastic/taxtable.py
TaxNode.path
def path(self, tax_ids): """Get the node at the end of the path described by tax_ids.""" assert tax_ids[0] == self.tax_id if len(tax_ids) == 1: return self n = tax_ids[1] try: child = next(i for i in self.children if i.tax_id == n) except StopIter...
python
def path(self, tax_ids): """Get the node at the end of the path described by tax_ids.""" assert tax_ids[0] == self.tax_id if len(tax_ids) == 1: return self n = tax_ids[1] try: child = next(i for i in self.children if i.tax_id == n) except StopIter...
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Get the node at the end of the path described by tax_ids.
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train
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fhcrc/taxtastic
taxtastic/taxtable.py
TaxNode.lineage
def lineage(self): """ Return all nodes between this node and the root, including this one. """ if not self.parent: return [self] else: L = self.parent.lineage() L.append(self) return L
python
def lineage(self): """ Return all nodes between this node and the root, including this one. """ if not self.parent: return [self] else: L = self.parent.lineage() L.append(self) return L
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train
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fhcrc/taxtastic
taxtastic/taxtable.py
TaxNode.write_taxtable
def write_taxtable(self, out_fp, **kwargs): """ Write a taxtable for this node and all descendants, including the lineage leading to this node. """ ranks_represented = frozenset(i.rank for i in self) | \ frozenset(i.rank for i in self.lineage()) ranks = [i for...
python
def write_taxtable(self, out_fp, **kwargs): """ Write a taxtable for this node and all descendants, including the lineage leading to this node. """ ranks_represented = frozenset(i.rank for i in self) | \ frozenset(i.rank for i in self.lineage()) ranks = [i for...
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Write a taxtable for this node and all descendants, including the lineage leading to this node.
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train
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fhcrc/taxtastic
taxtastic/taxtable.py
TaxNode.populate_from_seqinfo
def populate_from_seqinfo(self, seqinfo): """Populate sequence_ids below this node from a seqinfo file object.""" for row in csv.DictReader(seqinfo): node = self.index.get(row['tax_id']) if node: node.sequence_ids.add(row['seqname'])
python
def populate_from_seqinfo(self, seqinfo): """Populate sequence_ids below this node from a seqinfo file object.""" for row in csv.DictReader(seqinfo): node = self.index.get(row['tax_id']) if node: node.sequence_ids.add(row['seqname'])
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Populate sequence_ids below this node from a seqinfo file object.
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train
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fhcrc/taxtastic
taxtastic/taxtable.py
TaxNode.collapse
def collapse(self, remove=False): """ Move all ``sequence_ids`` in the subtree below this node to this node. If ``remove`` is True, nodes below this one are deleted from the taxonomy. """ descendants = iter(self) # Skip this node assert next(descendants) ...
python
def collapse(self, remove=False): """ Move all ``sequence_ids`` in the subtree below this node to this node. If ``remove`` is True, nodes below this one are deleted from the taxonomy. """ descendants = iter(self) # Skip this node assert next(descendants) ...
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train
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fhcrc/taxtastic
taxtastic/taxtable.py
TaxNode.write_seqinfo
def write_seqinfo(self, out_fp, include_name=True): """ Write a simple seq_info file, suitable for use in taxtastic. Useful for printing out the results of collapsing tax nodes - super bare bones, just tax_id and seqname. If include_name is True, a column with the taxon name is ...
python
def write_seqinfo(self, out_fp, include_name=True): """ Write a simple seq_info file, suitable for use in taxtastic. Useful for printing out the results of collapsing tax nodes - super bare bones, just tax_id and seqname. If include_name is True, a column with the taxon name is ...
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Write a simple seq_info file, suitable for use in taxtastic. Useful for printing out the results of collapsing tax nodes - super bare bones, just tax_id and seqname. If include_name is True, a column with the taxon name is included.
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train
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fhcrc/taxtastic
taxtastic/taxtable.py
TaxNode.from_taxtable
def from_taxtable(cls, taxtable_fp): """ Generate a node from an open handle to a taxtable, as generated by ``taxit taxtable`` """ r = csv.reader(taxtable_fp) headers = next(r) rows = (collections.OrderedDict(list(zip(headers, i))) for i in r) row = next(...
python
def from_taxtable(cls, taxtable_fp): """ Generate a node from an open handle to a taxtable, as generated by ``taxit taxtable`` """ r = csv.reader(taxtable_fp) headers = next(r) rows = (collections.OrderedDict(list(zip(headers, i))) for i in r) row = next(...
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train
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fhcrc/taxtastic
taxtastic/taxtable.py
TaxNode.from_taxdb
def from_taxdb(cls, con, root=None): """ Generate a TaxNode from a taxonomy database """ cursor = con.cursor() if root is None: cursor.execute( "SELECT tax_id, rank FROM nodes WHERE tax_id = parent_id") else: cursor.execute( ...
python
def from_taxdb(cls, con, root=None): """ Generate a TaxNode from a taxonomy database """ cursor = con.cursor() if root is None: cursor.execute( "SELECT tax_id, rank FROM nodes WHERE tax_id = parent_id") else: cursor.execute( ...
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Generate a TaxNode from a taxonomy database
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train
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seznam/shelter
shelter/utils/net.py
parse_host
def parse_host(host): """ Parse *host* in format ``"[hostname:]port"`` and return :class:`tuple` ``(address, port)``. >>> parse_host('localhost:4444') ('localhost', 4444) >>> parse_host(':4444') ('', 4444) >>> parse_host('4444') ('', 4444) >>> parse_h...
python
def parse_host(host): """ Parse *host* in format ``"[hostname:]port"`` and return :class:`tuple` ``(address, port)``. >>> parse_host('localhost:4444') ('localhost', 4444) >>> parse_host(':4444') ('', 4444) >>> parse_host('4444') ('', 4444) >>> parse_h...
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Parse *host* in format ``"[hostname:]port"`` and return :class:`tuple` ``(address, port)``. >>> parse_host('localhost:4444') ('localhost', 4444) >>> parse_host(':4444') ('', 4444) >>> parse_host('4444') ('', 4444) >>> parse_host('2001:db8::1428:57ab:4444') ...
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train
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fhcrc/taxtastic
taxtastic/subcommands/taxids.py
get_children
def get_children(engine, parent_ids, rank='species', schema=None): """ Recursively fetch children of tax_ids in `parent_ids` until the rank of `rank` """ if not parent_ids: return [] nodes = schema + '.nodes' if schema else 'nodes' names = schema + '.names' if schema else 'names' ...
python
def get_children(engine, parent_ids, rank='species', schema=None): """ Recursively fetch children of tax_ids in `parent_ids` until the rank of `rank` """ if not parent_ids: return [] nodes = schema + '.nodes' if schema else 'nodes' names = schema + '.names' if schema else 'names' ...
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Recursively fetch children of tax_ids in `parent_ids` until the rank of `rank`
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train
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seznam/shelter
shelter/core/config.py
Config.get_config_items
def get_config_items(self): """ Return current configuration as a :class:`tuple` with option-value pairs. :: (('option1', value1), ('option2', value2)) """ return ( ('settings', self.settings), ('context_class', self.context_class), ...
python
def get_config_items(self): """ Return current configuration as a :class:`tuple` with option-value pairs. :: (('option1', value1), ('option2', value2)) """ return ( ('settings', self.settings), ('context_class', self.context_class), ...
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Return current configuration as a :class:`tuple` with option-value pairs. :: (('option1', value1), ('option2', value2))
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train
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seznam/shelter
shelter/core/config.py
Config.context_class
def context_class(self): """ Context as a :class:`shelter.core.context.Context` class or subclass. """ if 'context_class' not in self._cached_values: context_cls_name = getattr(self.settings, 'CONTEXT_CLASS', '') if context_cls_name: context_class ...
python
def context_class(self): """ Context as a :class:`shelter.core.context.Context` class or subclass. """ if 'context_class' not in self._cached_values: context_cls_name = getattr(self.settings, 'CONTEXT_CLASS', '') if context_cls_name: context_class ...
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Context as a :class:`shelter.core.context.Context` class or subclass.
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train
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seznam/shelter
shelter/core/config.py
Config.interfaces
def interfaces(self): """ Interfaces as a :class:`list`of the :class:`shelter.core.config.Config.Interface` instances. """ if 'interfaces' not in self._cached_values: self._cached_values['interfaces'] = [] for name, interface in six.iteritems(self.settings...
python
def interfaces(self): """ Interfaces as a :class:`list`of the :class:`shelter.core.config.Config.Interface` instances. """ if 'interfaces' not in self._cached_values: self._cached_values['interfaces'] = [] for name, interface in six.iteritems(self.settings...
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Interfaces as a :class:`list`of the :class:`shelter.core.config.Config.Interface` instances.
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train
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fhcrc/taxtastic
taxtastic/subcommands/update.py
action
def action(args): """Updates a Refpkg with new files. *args* should be an argparse object with fields refpkg (giving the path to the refpkg to operate on) and changes (a series of strings of the form 'key=file' giving the key to update in the refpkg and the file to store under that key)." """ ...
python
def action(args): """Updates a Refpkg with new files. *args* should be an argparse object with fields refpkg (giving the path to the refpkg to operate on) and changes (a series of strings of the form 'key=file' giving the key to update in the refpkg and the file to store under that key)." """ ...
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Updates a Refpkg with new files. *args* should be an argparse object with fields refpkg (giving the path to the refpkg to operate on) and changes (a series of strings of the form 'key=file' giving the key to update in the refpkg and the file to store under that key)."
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train
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seznam/shelter
shelter/utils/imports.py
import_object
def import_object(name): """ Import module and return object from it. *name* is :class:`str` in format ``module.path.ObjectClass``. :: >>> import_command('module.path.ObjectClass') <class 'module.path.ObjectClass'> """ parts = name.split('.') if len(parts) < 2: raise...
python
def import_object(name): """ Import module and return object from it. *name* is :class:`str` in format ``module.path.ObjectClass``. :: >>> import_command('module.path.ObjectClass') <class 'module.path.ObjectClass'> """ parts = name.split('.') if len(parts) < 2: raise...
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Import module and return object from it. *name* is :class:`str` in format ``module.path.ObjectClass``. :: >>> import_command('module.path.ObjectClass') <class 'module.path.ObjectClass'>
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train
https://github.com/seznam/shelter/blob/c652b0ff1cca70158f8fc97d9210c1fa5961ac1c/shelter/utils/imports.py#L10-L25
fhcrc/taxtastic
taxtastic/scripts/taxit.py
parse_arguments
def parse_arguments(argv): """Create the argument parser """ parser = argparse.ArgumentParser(description=DESCRIPTION) base_parser = argparse.ArgumentParser(add_help=False) parser.add_argument('-V', '--version', action='version', version='taxit v' + version, ...
python
def parse_arguments(argv): """Create the argument parser """ parser = argparse.ArgumentParser(description=DESCRIPTION) base_parser = argparse.ArgumentParser(add_help=False) parser.add_argument('-V', '--version', action='version', version='taxit v' + version, ...
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train
https://github.com/fhcrc/taxtastic/blob/4e874b7f2cc146178828bfba386314f8c342722b/taxtastic/scripts/taxit.py#L56-L120
fhcrc/taxtastic
taxtastic/taxonomy.py
Taxonomy.execute
def execute(self, statements, exc=IntegrityError, rasie_as=ValueError): """Execute ``statements`` in a session, and perform a rollback on error. ``exc`` is a single exception object or a tuple of objects to be used in the except clause. The error message is re-raised as the exception spe...
python
def execute(self, statements, exc=IntegrityError, rasie_as=ValueError): """Execute ``statements`` in a session, and perform a rollback on error. ``exc`` is a single exception object or a tuple of objects to be used in the except clause. The error message is re-raised as the exception spe...
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train
https://github.com/fhcrc/taxtastic/blob/4e874b7f2cc146178828bfba386314f8c342722b/taxtastic/taxonomy.py#L114-L134
fhcrc/taxtastic
taxtastic/taxonomy.py
Taxonomy._node
def _node(self, tax_id): """ Returns parent_id, rank FIXME: expand return rank to include custom 'below' ranks built when get_lineage is caled """ s = select([self.nodes.c.parent_id, self.nodes.c.rank], self.nodes.c.tax_id == tax_id) res...
python
def _node(self, tax_id): """ Returns parent_id, rank FIXME: expand return rank to include custom 'below' ranks built when get_lineage is caled """ s = select([self.nodes.c.parent_id, self.nodes.c.rank], self.nodes.c.tax_id == tax_id) res...
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train
https://github.com/fhcrc/taxtastic/blob/4e874b7f2cc146178828bfba386314f8c342722b/taxtastic/taxonomy.py#L136-L151
fhcrc/taxtastic
taxtastic/taxonomy.py
Taxonomy.primary_from_id
def primary_from_id(self, tax_id): """ Returns primary taxonomic name associated with tax_id """ s = select([self.names.c.tax_name], and_(self.names.c.tax_id == tax_id, self.names.c.is_primary)) res = s.execute() output = res.fet...
python
def primary_from_id(self, tax_id): """ Returns primary taxonomic name associated with tax_id """ s = select([self.names.c.tax_name], and_(self.names.c.tax_id == tax_id, self.names.c.is_primary)) res = s.execute() output = res.fet...
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Returns primary taxonomic name associated with tax_id
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train
https://github.com/fhcrc/taxtastic/blob/4e874b7f2cc146178828bfba386314f8c342722b/taxtastic/taxonomy.py#L153-L167
fhcrc/taxtastic
taxtastic/taxonomy.py
Taxonomy.primary_from_name
def primary_from_name(self, tax_name): """ Return tax_id and primary tax_name corresponding to tax_name. """ names = self.names s1 = select([names.c.tax_id, names.c.is_primary], names.c.tax_name == tax_name) log.debug(str(s1)) res = s1.execu...
python
def primary_from_name(self, tax_name): """ Return tax_id and primary tax_name corresponding to tax_name. """ names = self.names s1 = select([names.c.tax_id, names.c.is_primary], names.c.tax_name == tax_name) log.debug(str(s1)) res = s1.execu...
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train
https://github.com/fhcrc/taxtastic/blob/4e874b7f2cc146178828bfba386314f8c342722b/taxtastic/taxonomy.py#L169-L193
fhcrc/taxtastic
taxtastic/taxonomy.py
Taxonomy._get_merged
def _get_merged(self, tax_id): """Returns tax_id into which `tax_id` has been merged or `tax_id` of not obsolete. """ cmd = """ SELECT COALESCE( (SELECT new_tax_id FROM {merged} WHERE old_tax_id = {x}), {x}) """.format(x=self.placeholder, merged=self.me...
python
def _get_merged(self, tax_id): """Returns tax_id into which `tax_id` has been merged or `tax_id` of not obsolete. """ cmd = """ SELECT COALESCE( (SELECT new_tax_id FROM {merged} WHERE old_tax_id = {x}), {x}) """.format(x=self.placeholder, merged=self.me...
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Returns tax_id into which `tax_id` has been merged or `tax_id` of not obsolete.
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train
https://github.com/fhcrc/taxtastic/blob/4e874b7f2cc146178828bfba386314f8c342722b/taxtastic/taxonomy.py#L195-L209
fhcrc/taxtastic
taxtastic/taxonomy.py
Taxonomy._get_lineage
def _get_lineage(self, tax_id, merge_obsolete=True): """Return a list of [(rank, tax_id)] describing the lineage of tax_id. If ``merge_obsolete`` is True and ``tax_id`` has been replaced, use the corresponding value in table merged. """ # Be sure we aren't working with an obsol...
python
def _get_lineage(self, tax_id, merge_obsolete=True): """Return a list of [(rank, tax_id)] describing the lineage of tax_id. If ``merge_obsolete`` is True and ``tax_id`` has been replaced, use the corresponding value in table merged. """ # Be sure we aren't working with an obsol...
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Return a list of [(rank, tax_id)] describing the lineage of tax_id. If ``merge_obsolete`` is True and ``tax_id`` has been replaced, use the corresponding value in table merged.
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train
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fhcrc/taxtastic
taxtastic/taxonomy.py
Taxonomy._get_lineage_table
def _get_lineage_table(self, tax_ids, merge_obsolete=True): """Return a list of [(rank, tax_id, tax_name)] describing the lineage of tax_id. If ``merge_obsolete`` is True and ``tax_id`` has been replaced, use the corresponding value in table merged. """ try: with se...
python
def _get_lineage_table(self, tax_ids, merge_obsolete=True): """Return a list of [(rank, tax_id, tax_name)] describing the lineage of tax_id. If ``merge_obsolete`` is True and ``tax_id`` has been replaced, use the corresponding value in table merged. """ try: with se...
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train
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fhcrc/taxtastic
taxtastic/taxonomy.py
Taxonomy.lineage
def lineage(self, tax_id=None, tax_name=None): """Public method for returning a lineage; includes tax_name and rank """ if not bool(tax_id) ^ bool(tax_name): msg = 'Exactly one of tax_id and tax_name may be provided.' raise ValueError(msg) if tax_name: ...
python
def lineage(self, tax_id=None, tax_name=None): """Public method for returning a lineage; includes tax_name and rank """ if not bool(tax_id) ^ bool(tax_name): msg = 'Exactly one of tax_id and tax_name may be provided.' raise ValueError(msg) if tax_name: ...
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train
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fhcrc/taxtastic
taxtastic/taxonomy.py
Taxonomy.add_source
def add_source(self, source_name, description=None): """Adds a row to table "source" if "name" does not exist. Returns (source_id, True) if a new row is created, (source_id, False) otherwise. """ # TODO: shoud be able to do this inside a transaction if not source_name:...
python
def add_source(self, source_name, description=None): """Adds a row to table "source" if "name" does not exist. Returns (source_id, True) if a new row is created, (source_id, False) otherwise. """ # TODO: shoud be able to do this inside a transaction if not source_name:...
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train
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fhcrc/taxtastic
taxtastic/taxonomy.py
Taxonomy.get_source
def get_source(self, source_id=None, source_name=None): """Returns a dict with keys ['id', 'name', 'description'] or None if no match. The ``id`` field is guaranteed to be an int that exists in table source. Requires exactly one of ``source_id`` or ``source_name``. A new source correspon...
python
def get_source(self, source_id=None, source_name=None): """Returns a dict with keys ['id', 'name', 'description'] or None if no match. The ``id`` field is guaranteed to be an int that exists in table source. Requires exactly one of ``source_id`` or ``source_name``. A new source correspon...
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train
https://github.com/fhcrc/taxtastic/blob/4e874b7f2cc146178828bfba386314f8c342722b/taxtastic/taxonomy.py#L426-L455
fhcrc/taxtastic
taxtastic/taxonomy.py
Taxonomy.verify_rank_integrity
def verify_rank_integrity(self, tax_id, rank, parent_id, children): """Confirm that for each node the parent ranks and children ranks are coherent """ def _lower(n1, n2): return self.ranks.index(n1) < self.ranks.index(n2) if rank not in self.ranks: raise...
python
def verify_rank_integrity(self, tax_id, rank, parent_id, children): """Confirm that for each node the parent ranks and children ranks are coherent """ def _lower(n1, n2): return self.ranks.index(n1) < self.ranks.index(n2) if rank not in self.ranks: raise...
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train
https://github.com/fhcrc/taxtastic/blob/4e874b7f2cc146178828bfba386314f8c342722b/taxtastic/taxonomy.py#L457-L481
fhcrc/taxtastic
taxtastic/taxonomy.py
Taxonomy.add_node
def add_node(self, tax_id, parent_id, rank, names, source_name, children=None, is_valid=True, execute=True, **ignored): """Add a node to the taxonomy. ``source_name`` is added to table "source" if necessary. """ if ignored: log.info('some arguments were ig...
python
def add_node(self, tax_id, parent_id, rank, names, source_name, children=None, is_valid=True, execute=True, **ignored): """Add a node to the taxonomy. ``source_name`` is added to table "source" if necessary. """ if ignored: log.info('some arguments were ig...
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train
https://github.com/fhcrc/taxtastic/blob/4e874b7f2cc146178828bfba386314f8c342722b/taxtastic/taxonomy.py#L487-L541
fhcrc/taxtastic
taxtastic/taxonomy.py
Taxonomy.add_name
def add_name(self, tax_id, tax_name, source_name=None, source_id=None, name_class='synonym', is_primary=False, is_classified=None, execute=True, **ignored): """Add a record to the names table corresponding to ``tax_id``. Arguments are as follows: - tax_id (str...
python
def add_name(self, tax_id, tax_name, source_name=None, source_id=None, name_class='synonym', is_primary=False, is_classified=None, execute=True, **ignored): """Add a record to the names table corresponding to ``tax_id``. Arguments are as follows: - tax_id (str...
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Add a record to the names table corresponding to ``tax_id``. Arguments are as follows: - tax_id (string, required) - tax_name (string, required) *one* of the following are required: - source_id (int or string coercable to int) - source_name (string) ``source_i...
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train
https://github.com/fhcrc/taxtastic/blob/4e874b7f2cc146178828bfba386314f8c342722b/taxtastic/taxonomy.py#L593-L648
fhcrc/taxtastic
taxtastic/taxonomy.py
Taxonomy.add_names
def add_names(self, tax_id, names, execute=True): """Associate one or more names with ``tax_id``. ``names`` is a list of one or more dicts, with keys corresponding to the signature of ``self.add_name()`` (excluding ``execute``). """ primary_names = [n['tax_name'] for n...
python
def add_names(self, tax_id, names, execute=True): """Associate one or more names with ``tax_id``. ``names`` is a list of one or more dicts, with keys corresponding to the signature of ``self.add_name()`` (excluding ``execute``). """ primary_names = [n['tax_name'] for n...
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train
https://github.com/fhcrc/taxtastic/blob/4e874b7f2cc146178828bfba386314f8c342722b/taxtastic/taxonomy.py#L650-L675
fhcrc/taxtastic
taxtastic/taxonomy.py
Taxonomy.sibling_of
def sibling_of(self, tax_id): """Return None or a tax_id of a sibling of *tax_id*. If ``tax_id`` is None, then always returns None. Otherwise, returns None if there is no sibling. """ if tax_id is None: return None parent_id, rank = self._node(tax_id) ...
python
def sibling_of(self, tax_id): """Return None or a tax_id of a sibling of *tax_id*. If ``tax_id`` is None, then always returns None. Otherwise, returns None if there is no sibling. """ if tax_id is None: return None parent_id, rank = self._node(tax_id) ...
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Return None or a tax_id of a sibling of *tax_id*. If ``tax_id`` is None, then always returns None. Otherwise, returns None if there is no sibling.
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train
https://github.com/fhcrc/taxtastic/blob/4e874b7f2cc146178828bfba386314f8c342722b/taxtastic/taxonomy.py#L677-L698
fhcrc/taxtastic
taxtastic/taxonomy.py
Taxonomy.tax_ids
def tax_ids(self): ''' Return all tax_ids in node table ''' fetch = select([self.nodes.c.tax_id]).execute().fetchall() ids = [t[0] for t in fetch] return ids
python
def tax_ids(self): ''' Return all tax_ids in node table ''' fetch = select([self.nodes.c.tax_id]).execute().fetchall() ids = [t[0] for t in fetch] return ids
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train
https://github.com/fhcrc/taxtastic/blob/4e874b7f2cc146178828bfba386314f8c342722b/taxtastic/taxonomy.py#L716-L722
fhcrc/taxtastic
taxtastic/taxonomy.py
Taxonomy.child_of
def child_of(self, tax_id): """Return None or a tax id of a child of *tax_id*. If *tax_id* is None, then always returns None. Otherwise returns a child if one exists, else None. The child must have a proper rank below that of tax_id (i.e., genus, species, but not no_rank or belo...
python
def child_of(self, tax_id): """Return None or a tax id of a child of *tax_id*. If *tax_id* is None, then always returns None. Otherwise returns a child if one exists, else None. The child must have a proper rank below that of tax_id (i.e., genus, species, but not no_rank or belo...
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Return None or a tax id of a child of *tax_id*. If *tax_id* is None, then always returns None. Otherwise returns a child if one exists, else None. The child must have a proper rank below that of tax_id (i.e., genus, species, but not no_rank or below_below_kingdom).
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train
https://github.com/fhcrc/taxtastic/blob/4e874b7f2cc146178828bfba386314f8c342722b/taxtastic/taxonomy.py#L724-L750
fhcrc/taxtastic
taxtastic/taxonomy.py
Taxonomy.nary_subtree
def nary_subtree(self, tax_id, n=2): """Return a list of species tax_ids under *tax_id* such that node under *tax_id* and above the species has two children. """ if tax_id is None: return None parent_id, rank = self._node(tax_id) if rank == 'species': ...
python
def nary_subtree(self, tax_id, n=2): """Return a list of species tax_ids under *tax_id* such that node under *tax_id* and above the species has two children. """ if tax_id is None: return None parent_id, rank = self._node(tax_id) if rank == 'species': ...
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Return a list of species tax_ids under *tax_id* such that node under *tax_id* and above the species has two children.
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train
https://github.com/fhcrc/taxtastic/blob/4e874b7f2cc146178828bfba386314f8c342722b/taxtastic/taxonomy.py#L784-L798
amicks/Speculator
api/helpers.py
validate_db
def validate_db(sqlalchemy_bind, is_enabled=ENABLE_DB): """ Checks if a DB is authorized and responding before executing the function """ def decorator(func): @wraps(func) def wrapper(*args, **kwargs): def is_db_responsive(): try: sqlalchemy_bind.s...
python
def validate_db(sqlalchemy_bind, is_enabled=ENABLE_DB): """ Checks if a DB is authorized and responding before executing the function """ def decorator(func): @wraps(func) def wrapper(*args, **kwargs): def is_db_responsive(): try: sqlalchemy_bind.s...
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Checks if a DB is authorized and responding before executing the function
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train
https://github.com/amicks/Speculator/blob/f7d6590aded20b1e1b5df16a4b27228ee821c4ab/api/helpers.py#L17-L34