JorgeVB/code_unlearning_dataset · Datasets at Hugging Face

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Empirical generalized multi-part Guinier-Porod scattering Inputs: ------- ``q``: independent variable ``factor``: factor for the first branch other arguments (*args): the defining arguments of the consecutive parts: radius of gyration (``Rg``) and dimensionality ...
Scattering form-factor intensity of a Gaussian chain (Debye) Inputs: ------- ``q``: independent variable ``Rg``: radius of gyration Formula: -------- ``2(exp(-a)-1+a)/a^2`` where ``a=(qRg)^2`` def DebyeChain(q, Rg): """Scattering form-factor intensity of a Gaussian chain...
Scattering intensity of a generalized excluded-volume Gaussian chain Inputs: ------- ``q``: independent variable ``Rg``: radius of gyration ``nu``: excluded volume exponent Formula: -------- ``(u^(1/nu)gamma(0.5/nu)gammainc_lower(0.5/nu,u)- gamma(1/nu)*gam...
Borue-Erukhimovich model of microphase separation in polyelectrolytes Inputs: ------- ``q``: independent variable ``C``: scaling factor ``r0``: typical el.stat. screening length ``s``: dimensionless charge concentration ``t``: dimensionless temperature Formula: ...
Borue-Erukhimovich model ending in a power-law. Inputs: ------- ``q``: independent variable ``C``: scaling factor ``r0``: typical el.stat. screening length ``s``: dimensionless charge concentration ``t``: dimensionless temperature ``nu``: excluded volume paramete...
Sample a patch from the data object Parameters ---------- data : dict A data dict as produced by pumpp.Pump.transform interval : slice The time interval to sample Returns ------- data_slice : dict `data` restricted to `interv...
Generate patch indices Parameters ---------- data : dict of np.ndarray As produced by pumpp.transform Yields ------ start : int >= 0 The start index of a sample patch def indices(self, data): '''Generate patch indices Parameters...
Generate patch start indices Parameters ---------- data : dict of np.ndarray As produced by pumpp.transform Yields ------ start : int >= 0 The start index of a sample patch def indices(self, data): '''Generate patch start indices ...
Generate patch indices Parameters ---------- data : dict of np.ndarray As produced by pumpp.transform Yields ------ start : int >= 0 The start index of a sample patch def indices(self, data): '''Generate patch indices Parameters...
Apply the name scope to a key Parameters ---------- key : string Returns ------- `name/key` if `name` is not `None`; otherwise, `key`. def scope(self, key): '''Apply the name scope to a key Parameters ---------- key : string ...
Register a field as a tensor with specified shape and type. A `Tensor` of the given shape and type will be registered in this object's `fields` dict. Parameters ---------- field : str The name of the field shape : iterable of `int` or `None` The...
Merge an array of output dictionaries into a single dictionary with properly scoped names. Parameters ---------- data : list of dict Output dicts as produced by `pumpp.task.BaseTaskTransformer.transform` or `pumpp.feature.FeatureExtractor.transform`. Ret...
Add an operator to the Slicer Parameters ---------- operator : Scope (TaskTransformer or FeatureExtractor) The new operator to add def add(self, operator): '''Add an operator to the Slicer Parameters ---------- operator : Scope (TaskTransformer or F...
Compute the valid data duration of a dict Parameters ---------- data : dict As produced by pumpp.transform Returns ------- length : int The minimum temporal extent of a dynamic observation in data def data_duration(self, data): '''Comput...
Crop a data dictionary down to its common time Parameters ---------- data : dict As produced by pumpp.transform Returns ------- data_cropped : dict Like `data` but with all time-like axes truncated to the minimum common duration def ...
Compute the Mel spectrogram Parameters ---------- y : np.ndarray The audio buffer Returns ------- data : dict data['mag'] : np.ndarray, shape=(n_frames, n_mels) The Mel spectrogram def transform_audio(self, y): '''Compute...
Empty vector annotations. This returns an annotation with a single observation vector consisting of all-zeroes. Parameters ---------- duration : number >0 Length of the track Returns ------- ann : jams.Annotation The empty annota...
Apply the vector transformation. Parameters ---------- ann : jams.Annotation The input annotation duration : number > 0 The duration of the track Returns ------- data : dict data['vector'] : np.ndarray, shape=(dimension,) ...
Inverse vector transformer def inverse(self, vector, duration=None): '''Inverse vector transformer''' ann = jams.Annotation(namespace=self.namespace, duration=duration) if duration is None: duration = 0 ann.append(time=0, duration=duration, value=vector) return an...
Set the transition matrix according to self-loop probabilities. Parameters ---------- p_self : None, float in (0, 1), or np.ndarray [shape=(n_labels,)] Optional self-loop probability(ies), used for Viterbi decoding def set_transition(self, p_self): '''Set the transition mat...
Empty label annotations. Constructs a single observation with an empty value (None). Parameters ---------- duration : number > 0 The duration of the annotation def empty(self, duration): '''Empty label annotations. Constructs a single observation with an e...
Transform an annotation to dynamic label encoding. Parameters ---------- ann : jams.Annotation The annotation to convert duration : number > 0 The duration of the track Returns ------- data : dict data['tags'] : np.ndarray, s...
Inverse transformation def inverse(self, encoded, duration=None): '''Inverse transformation''' ann = jams.Annotation(namespace=self.namespace, duration=duration) for start, end, value in self.decode_intervals(encoded, duration=duration, ...
Transform an annotation to static label encoding. Parameters ---------- ann : jams.Annotation The annotation to convert duration : number > 0 The duration of the track Returns ------- data : dict data['tags'] : np.ndarray, sh...
Inverse static tag transformation def inverse(self, encoded, duration=None): '''Inverse static tag transformation''' ann = jams.Annotation(namespace=self.namespace, duration=duration) if np.isrealobj(encoded): detected = (encoded >= 0.5) else: detected = encode...
Compute the time position encoding Parameters ---------- y : np.ndarray Audio buffer Returns ------- data : dict data['relative'] = np.ndarray, shape=(n_frames, 2) data['absolute'] = np.ndarray, shape=(n_frames, 2) Re...
Add an operation to this pump. Parameters ---------- operator : BaseTaskTransformer, FeatureExtractor The operation to add Raises ------ ParameterError if `op` is not of a correct type def add(self, operator): '''Add an operation to this...
Apply the transformations to an audio file, and optionally JAMS object. Parameters ---------- audio_f : str Path to audio file jam : optional, `jams.JAMS`, str or file-like Optional JAMS object/path to JAMS file/open file descriptor. If provided, th...
Construct a sampler object for this pump's operators. Parameters ---------- n_samples : None or int > 0 The number of samples to generate duration : int > 0 The duration (in frames) of each sample patch random_state : None, int, or np.random.RandomState...
A dictionary of fields constructed by this pump def fields(self): '''A dictionary of fields constructed by this pump''' out = dict() for operator in self.ops: out.update(**operator.fields) return out
Construct Keras input layers for all feature transformers in the pump. Returns ------- layers : {field: keras.layers.Input} A dictionary of keras input layers, keyed by the corresponding fields. def layers(self): '''Construct Keras input layers for all f...
Set the beat-tracking transition matrix according to self-loop probabilities. Parameters ---------- p_self : None, float in (0, 1), or np.ndarray [shape=(2,)] Optional self-loop probability(ies), used for Viterbi decoding def set_transition_beat(self, p_self): '''Se...
Set the downbeat-tracking transition matrix according to self-loop probabilities. Parameters ---------- p_self : None, float in (0, 1), or np.ndarray [shape=(2,)] Optional self-loop probability(ies), used for Viterbi decoding def set_transition_down(self, p_self): '...
Apply the beat transformer Parameters ---------- ann : jams.Annotation The input annotation duration : number > 0 The duration of the audio Returns ------- data : dict data['beat'] : np.ndarray, shape=(n, 1) B...
Inverse transformation for beats and optional downbeats def inverse(self, encoded, downbeat=None, duration=None): '''Inverse transformation for beats and optional downbeats''' ann = jams.Annotation(namespace=self.namespace, duration=duration) beat_times = np.asarray([t for t, _ in self.decode...
Transform an annotation to the beat-position encoding Parameters ---------- ann : jams.Annotation The annotation to convert duration : number > 0 The duration of the track Returns ------- data : dict data['position'] : np.nda...
Compute the tempogram Parameters ---------- y : np.ndarray Audio buffer Returns ------- data : dict data['tempogram'] : np.ndarray, shape=(n_frames, win_length) The tempogram def transform_audio(self, y): '''Compute the t...
Apply the scale transform to the tempogram Parameters ---------- y : np.ndarray The audio buffer Returns ------- data : dict data['temposcale'] : np.ndarray, shape=(n_frames, n_fmt) The scale transform magnitude coefficients def ...
Apply the structure agreement transformation. Parameters ---------- ann : jams.Annotation The segment annotation duration : number > 0 The target duration Returns ------- data : dict data['agree'] : np.ndarray, shape=(n, n), ...
Compute the STFT magnitude and phase. Parameters ---------- y : np.ndarray The audio buffer Returns ------- data : dict data['mag'] : np.ndarray, shape=(n_frames, 1 + n_fft//2) STFT magnitude data['phase'] : np.ndarra...
Compute the STFT with phase differentials. Parameters ---------- y : np.ndarray the audio buffer Returns ------- data : dict data['mag'] : np.ndarray, shape=(n_frames, 1 + n_fft//2) The STFT magnitude data['dphase'] :...
Compute the STFT Parameters ---------- y : np.ndarray The audio buffer Returns ------- data : dict data['mag'] : np.ndarray, shape=(n_frames, 1 + n_fft//2) The STFT magnitude def transform_audio(self, y): '''Compute the S...
Pad a chord annotation with no-chord flags. Parameters ---------- target : np.ndarray the input data axis : int the axis along which to pad Returns ------- target_pad `target` expanded by 1 along the specified `axis`. The expanded dimension will be 0 when `...
Empty chord annotations Parameters ---------- duration : number The length (in seconds) of the empty annotation Returns ------- ann : jams.Annotation A chord annotation consisting of a single `no-chord` observation. def empty(self, duration): ...
Apply the chord transformation. Parameters ---------- ann : jams.Annotation The chord annotation duration : number > 0 The target duration Returns ------- data : dict data['pitch'] : np.ndarray, shape=(n, 12) data...
Apply the chord transformation. Parameters ---------- ann : jams.Annotation The chord annotation duration : number > 0 The target duration Returns ------- data : dict data['pitch'] : np.ndarray, shape=(n, 12) `pi...
Set the transition matrix according to self-loop probabilities. Parameters ---------- p_self : None, float in (0, 1), or np.ndarray [shape=(n_labels,)] Optional self-loop probability(ies), used for Viterbi decoding def set_transition(self, p_self): '''Set the transition mat...
Simplify a chord string down to the vocabulary space def simplify(self, chord): '''Simplify a chord string down to the vocabulary space''' # Drop inversions chord = re.sub(r'/.$', r'', chord) # Drop any additional or suppressed tones chord = re.sub(r'\(.?\)', r'', chord) ...
Transform an annotation to chord-tag encoding Parameters ---------- ann : jams.Annotation The annotation to convert duration : number > 0 The duration of the track Returns ------- data : dict data['chord'] : np.ndarray, shape...
Compute the CQT Parameters ---------- y : np.ndarray The audio buffer Returns ------- data : dict data['mag'] : np.ndarray, shape = (n_frames, n_bins) The CQT magnitude data['phase']: np.ndarray, shape = mag.shape ...
Compute CQT magnitude. Parameters ---------- y : np.ndarray the audio buffer Returns ------- data : dict data['mag'] : np.ndarray, shape=(n_frames, n_bins) The CQT magnitude def transform_audio(self, y): '''Compute CQT ma...
Compute the CQT with unwrapped phase Parameters ---------- y : np.ndarray The audio buffer Returns ------- data : dict data['mag'] : np.ndarray, shape=(n_frames, n_bins) CQT magnitude data['dphase'] : np.ndarray, shap...
Compute the HCQT Parameters ---------- y : np.ndarray The audio buffer Returns ------- data : dict data['mag'] : np.ndarray, shape = (n_frames, n_bins, n_harmonics) The CQT magnitude data['phase']: np.ndarray, shape =...
Rearrange a tensor according to the convolution mode Input is assumed to be in (channels, bins, time) format. def _index(self, value): '''Rearrange a tensor according to the convolution mode Input is assumed to be in (channels, bins, time) format. ''' if self.conv in ('channe...
Compute HCQT magnitude. Parameters ---------- y : np.ndarray the audio buffer Returns ------- data : dict data['mag'] : np.ndarray, shape=(n_frames, n_bins) The CQT magnitude def transform_audio(self, y): '''Compute HCQT ...
Compute the HCQT with unwrapped phase Parameters ---------- y : np.ndarray The audio buffer Returns ------- data : dict data['mag'] : np.ndarray, shape=(n_frames, n_bins) CQT magnitude data['dphase'] : np.ndarray, sha...
Get a fill-value for a given dtype Parameters ---------- dtype : type Returns ------- `np.nan` if `dtype` is real or complex 0 otherwise def fill_value(dtype): '''Get a fill-value for a given dtype Parameters ---------- dtype : type Returns ------- `np.nan` ...
Create an empty jams.Annotation for this task. This method should be overridden by derived classes. Parameters ---------- duration : int >= 0 Duration of the annotation def empty(self, duration): '''Create an empty jams.Annotation for this task. This metho...
Transform jam object to make data for this task Parameters ---------- jam : jams.JAMS The jams container object query : string, dict, or callable [optional] An optional query to narrow the elements of `jam.annotations` to be considered. ...
Encode labeled events as a time-series matrix. Parameters ---------- duration : number The duration of the track events : ndarray, shape=(n,) Time index of the events values : ndarray, shape=(n, m) Values array. Must have the same first ind...
Encode labeled intervals as a time-series matrix. Parameters ---------- duration : number The duration (in frames) of the track intervals : np.ndarray, shape=(n, 2) The list of intervals values : np.ndarray, shape=(n, m) The (encoded) values...
Decode labeled events into (time, value) pairs Real-valued inputs are thresholded at 0.5. Optionally, viterbi decoding can be applied to each event class. Parameters ---------- encoded : np.ndarray, shape=(n_frames, m) Frame-level annotation encodings as produced b...
Decode labeled intervals into (start, end, value) triples Parameters ---------- encoded : np.ndarray, shape=(n_frames, m) Frame-level annotation encodings as produced by ``encode_intervals`` duration : None or float > 0 The max duration of the annota...
Transform an audio signal Parameters ---------- y : np.ndarray The audio signal sr : number > 0 The native sampling rate of y Returns ------- dict Data dictionary containing features extracted from y See Also ...
Compute the phase differential along a given axis Parameters ---------- phase : np.ndarray Input phase (in radians) Returns ------- dphase : np.ndarray like `phase` The phase differential. def phase_diff(self, phase): '''Compute the phas...
Construct Keras input layers for the given transformer Returns ------- layers : {field: keras.layers.Input} A dictionary of keras input layers, keyed by the corresponding field keys. def layers(self): '''Construct Keras input layers for the given transformer ...
Get the number of frames for a given duration Parameters ---------- duration : number >= 0 The duration, in seconds Returns ------- n_frames : int >= 0 The number of frames at this extractor's sampling rate and hop length def n_frame...
Create a new release branch. Args: component (str): Version component to bump when creating the release. Can be major, minor or patch. exact (str): The exact version to set for the release. Overrides the component argument. This allows to re-rel...
Tag the current commit with the current version. def tag(message): # type: () -> None """ Tag the current commit with the current version. """ release_ver = versioning.current() message = message or 'v{} release'.format(release_ver) with conf.within_proj_dir(): log.info("Creating release t...
Lint python files. Args: exclude (list[str]): A list of glob string patterns to test against. If the file/path matches any of those patters, it will be filtered out. skip_untracked (bool): If set to True it will skip all files not tracked by git. comm...
Decorator for defining lint tools. Args: name (str): The name of the tool. This name will be used to identify the tool in `pelconf.yaml`. def tool(name): # type: (str) -> FunctionType """ Decorator for defining lint tools. Args: name (str): The name...
Run code checks using pep8. Args: files (list[str]): A list of files to check Returns: bool: True if all files passed the checks, False otherwise. pep8 tool is very fast. Especially compared to pylint and the bigger the code base the bigger the difference. If y...
Run code checks using pylint. Args: files (list[str]): A list of files to check Returns: bool: True if all files passed the checks, False otherwise. def pylint_check(files): # type: (List[str]) -> int """ Run code checks using pylint. Args: files (list...
Run all linters and report results. Returns: bool: True if all checks were successful, False otherwise. def run(self): # type: () -> bool """ Run all linters and report results. Returns: bool: True if all checks were successful, False otherwise....
data = { "table_name" : 'name_of_the_azure_schema' + '.' + 'name_of_the_azure_table' #Must already exist, "columns_name" : [first_column_name,second_column_name,...,last_column_name], "rows" : [[first_raw_value,second_raw_value,...,last_raw_value],...] } def send_to_azure(instance, data,...
Returns a standard python Dict with computed values from the DynDict :param source: (DynDict) input :return: (dict) Containing computed values def getdict(source): """Returns a standard python Dict with computed values from the DynDict :param source: (DynDict) input :return: (dict) Containi...
Add a new property to the app (with setattr) Args: name (str): the name of the new property value (any): the value of the new property def enrich_app(self, name, value): ''' Add a new property to the app (with setattr) Args: name (str): the name of ...
Least squares linear fit. Fit a straight line `f(x_true) = a + bx` to points `(x_true, y)`. Returns coefficients `a` and `b` that minimize the squared error. Parameters ---------- x_true : array_like one dimensional array of `x_true` data with `n`>2 data points. y : array_li...
Set Isogeo base URLs according to platform. :param str platform: platform to use. Options: * prod [DEFAULT] * qa * int def set_base_url(self, platform: str = "prod"): """Set Isogeo base URLs according to platform. :param str platform: platform to use. Options: ...
Convert a metadata UUID to its URI equivalent. And conversely. :param str in_uuid: UUID or URI to convert :param int mode: conversion direction. Options: * 0 to HEX * 1 to URN (RFC4122) * 2 to URN (Isogeo specific style) def convert_uuid(self, in_uuid: str = str, mode: b...
Pull out the character set, encoding, and encoded text from the input encoded words. Next, it decodes the encoded words into a byte string, using either the quopri module or base64 module as determined by the encoding. Finally, it decodes the byte string using the character set and retur...
Get Isogeo components versions. Authentication not required. :param str component: which platform component. Options: * api [default] * db * app def get_isogeo_version(self, component: str = "api", prot: str = "https"): """Get Isogeo components versions. Authentication n...
Constructs the edition URL of a metadata. :param str md_id: metadata/resource UUID :param str owner_id: owner UUID :param str tab: target tab in the web form def get_edit_url( self, md_id: str = None, md_type: str = None, owner_id: str = None, tab: str =...
Constructs the view URL of a metadata. :param str webapp: web app destination :param dict kwargs: web app specific parameters. For example see WEBAPPS def get_view_url(self, webapp: str = "oc", **kwargs): """Constructs the view URL of a metadata. :param str webapp: web app destination...
Register a new WEBAPP to use with the view URL builder. :param str webapp_name: name of the web app to register :param list webapp_args: dynamic arguments to complete the URL. Typically 'md_id'. :param str webapp_url: URL of the web app to register with args tags to replace. E...
Returns the Isogeo API root URL (which is not included into credentials file) from the token URL (which is always included). :param url_api_token str: url to Isogeo API ID token generator def get_url_base_from_url_token( self, url_api_token: str = "https://id.api.isogeo.com/oauth/token" ):...
Simple helper to handle pagination. Returns the number of pages for a given number of results. :param int total: count of metadata in a search request :param int page_size: count of metadata to display in each page def pages_counter(self, total: int, page_size: int = 100) -> int: """Si...
Reverse search tags dictionary to values as keys. Useful to populate filters comboboxes for example. :param dict tags: tags dictionary from a search request :param dict prev_query: query parameters returned after a search request. Typically `search.get("query")`. :param str duplicated: ...
Extend share model with additional informations. :param dict share: share returned by API :param dict results_filtered: filtered search result def share_extender(self, share: dict, results_filtered: dict): """Extend share model with additional informations. :param dict share: share re...
Loads API credentials from a file, JSON or INI. :param str in_credentials: path to the credentials file. By default, look for a client_secrets.json file. def credentials_loader(self, in_credentials: str = "client_secrets.json") -> dict: """Loads API credentials from a file, JSON or INI. ...
Generate .pypirc config with the given credentials. Example: $ peltak pypi configure my_pypi_user my_pypi_pass def configure(username, password): # type: (str, str) -> None """ Generate .pypirc config with the given credentials. Example: $ peltak pypi configure my_pypi_user my_p...
Returns translation of string passed. :param str subdomain: subpart of strings dictionary. Must be one of self.translations.keys() i.e. 'restrictions' :param str string_to_translate: string you want to translate def tr(self, subdomain: str, string_to_translate: str = "") -> str: """Re...
This is a duplicte of the view code for DRF to stop future internal Django implementations breaking. def optout_saved(sender, instance, **kwargs): """ This is a duplicte of the view code for DRF to stop future internal Django implementations breaking. """ if instance.identity is None: #...
Gets an EC2 client :return: boto3.client object :raises: AWSAPIError def get_ec2_client(region_name=None, aws_access_key_id=None, aws_secret_access_key=None): """Gets an EC2 client :return: boto3.client object :raises: AWSAPIError """ log = logging.getLogger(mod_logger + '.get_ec2_client'...
Gets the VPC ID for this EC2 instance :return: String instance ID or None def get_vpc_id(self): """Gets the VPC ID for this EC2 instance :return: String instance ID or None """ log = logging.getLogger(self.cls_logger + '.get_vpc_id') # Exit if not running on AWS ...
Given an interface number, gets the AWS elastic network interface associated with the interface. :param interface: Integer associated to the interface/device number :return: String Elastic Network Interface ID or None if not found :raises OSError, AWSAPIError, EC2UtilError def get_eni_...
Adds an IP address as a secondary IP address :param ip_address: String IP address to add as a secondary IP :param interface: Integer associated to the interface/device number :return: None :raises: AWSAPIError, EC2UtilError def add_secondary_ip(self, ip_address, interface=1): "...
Given an elastic IP address and an interface number, associates the elastic IP to the interface number on this host. :param allocation_id: String ID for the elastic IP :param interface: Integer associated to the interface/device number :param private_ip: String IP address of the private...
Allocates an elastic IP address :return: Dict with allocation ID and Public IP that were created :raises: AWSAPIError, EC2UtilError def allocate_elastic_ip(self): """Allocates an elastic IP address :return: Dict with allocation ID and Public IP that were created :raises: AWSAP...
Creates a new Elastic Network Interface on the Subnet matching the subnet_name, with Security Group identified by the security_group_name, then attaches an Elastic IP address if specified in the allocation_id parameter, and finally attaches the new ENI to the EC2 instance instance_id at ...

Empirical generalized multi-part Guinier-Porod scattering Inputs: ------- ``q``: independent variable ``factor``: factor for the first branch other arguments (*args): the defining arguments of the consecutive parts: radius of gyration (``Rg``) and dimensionality ...

Scattering form-factor intensity of a Gaussian chain (Debye) Inputs: ------- ``q``: independent variable ``Rg``: radius of gyration Formula: -------- ``2*(exp(-a)-1+a)/a^2`` where ``a=(q*Rg)^2`` def DebyeChain(q, Rg): """Scattering form-factor intensity of a Gaussian chain...

Scattering intensity of a generalized excluded-volume Gaussian chain Inputs: ------- ``q``: independent variable ``Rg``: radius of gyration ``nu``: excluded volume exponent Formula: -------- ``(u^(1/nu)*gamma(0.5/nu)*gammainc_lower(0.5/nu,u)- gamma(1/nu)*gam...

Borue-Erukhimovich model of microphase separation in polyelectrolytes Inputs: ------- ``q``: independent variable ``C``: scaling factor ``r0``: typical el.stat. screening length ``s``: dimensionless charge concentration ``t``: dimensionless temperature Formula: ...

Borue-Erukhimovich model ending in a power-law. Inputs: ------- ``q``: independent variable ``C``: scaling factor ``r0``: typical el.stat. screening length ``s``: dimensionless charge concentration ``t``: dimensionless temperature ``nu``: excluded volume paramete...

Sample a patch from the data object Parameters ---------- data : dict A data dict as produced by pumpp.Pump.transform interval : slice The time interval to sample Returns ------- data_slice : dict `data` restricted to `interv...

Generate patch indices Parameters ---------- data : dict of np.ndarray As produced by pumpp.transform Yields ------ start : int >= 0 The start index of a sample patch def indices(self, data): '''Generate patch indices Parameters...

Generate patch start indices Parameters ---------- data : dict of np.ndarray As produced by pumpp.transform Yields ------ start : int >= 0 The start index of a sample patch def indices(self, data): '''Generate patch start indices ...

Generate patch indices Parameters ---------- data : dict of np.ndarray As produced by pumpp.transform Yields ------ start : int >= 0 The start index of a sample patch def indices(self, data): '''Generate patch indices Parameters...

Apply the name scope to a key Parameters ---------- key : string Returns ------- `name/key` if `name` is not `None`; otherwise, `key`. def scope(self, key): '''Apply the name scope to a key Parameters ---------- key : string ...

Register a field as a tensor with specified shape and type. A `Tensor` of the given shape and type will be registered in this object's `fields` dict. Parameters ---------- field : str The name of the field shape : iterable of `int` or `None` The...

Merge an array of output dictionaries into a single dictionary with properly scoped names. Parameters ---------- data : list of dict Output dicts as produced by `pumpp.task.BaseTaskTransformer.transform` or `pumpp.feature.FeatureExtractor.transform`. Ret...

Add an operator to the Slicer Parameters ---------- operator : Scope (TaskTransformer or FeatureExtractor) The new operator to add def add(self, operator): '''Add an operator to the Slicer Parameters ---------- operator : Scope (TaskTransformer or F...

Compute the valid data duration of a dict Parameters ---------- data : dict As produced by pumpp.transform Returns ------- length : int The minimum temporal extent of a dynamic observation in data def data_duration(self, data): '''Comput...

Crop a data dictionary down to its common time Parameters ---------- data : dict As produced by pumpp.transform Returns ------- data_cropped : dict Like `data` but with all time-like axes truncated to the minimum common duration def ...

Compute the Mel spectrogram Parameters ---------- y : np.ndarray The audio buffer Returns ------- data : dict data['mag'] : np.ndarray, shape=(n_frames, n_mels) The Mel spectrogram def transform_audio(self, y): '''Compute...

Empty vector annotations. This returns an annotation with a single observation vector consisting of all-zeroes. Parameters ---------- duration : number >0 Length of the track Returns ------- ann : jams.Annotation The empty annota...

Apply the vector transformation. Parameters ---------- ann : jams.Annotation The input annotation duration : number > 0 The duration of the track Returns ------- data : dict data['vector'] : np.ndarray, shape=(dimension,) ...

Inverse vector transformer def inverse(self, vector, duration=None): '''Inverse vector transformer''' ann = jams.Annotation(namespace=self.namespace, duration=duration) if duration is None: duration = 0 ann.append(time=0, duration=duration, value=vector) return an...

Set the transition matrix according to self-loop probabilities. Parameters ---------- p_self : None, float in (0, 1), or np.ndarray [shape=(n_labels,)] Optional self-loop probability(ies), used for Viterbi decoding def set_transition(self, p_self): '''Set the transition mat...

Empty label annotations. Constructs a single observation with an empty value (None). Parameters ---------- duration : number > 0 The duration of the annotation def empty(self, duration): '''Empty label annotations. Constructs a single observation with an e...

Transform an annotation to dynamic label encoding. Parameters ---------- ann : jams.Annotation The annotation to convert duration : number > 0 The duration of the track Returns ------- data : dict data['tags'] : np.ndarray, s...

Inverse transformation def inverse(self, encoded, duration=None): '''Inverse transformation''' ann = jams.Annotation(namespace=self.namespace, duration=duration) for start, end, value in self.decode_intervals(encoded, duration=duration, ...

Transform an annotation to static label encoding. Parameters ---------- ann : jams.Annotation The annotation to convert duration : number > 0 The duration of the track Returns ------- data : dict data['tags'] : np.ndarray, sh...

Inverse static tag transformation def inverse(self, encoded, duration=None): '''Inverse static tag transformation''' ann = jams.Annotation(namespace=self.namespace, duration=duration) if np.isrealobj(encoded): detected = (encoded >= 0.5) else: detected = encode...

Compute the time position encoding Parameters ---------- y : np.ndarray Audio buffer Returns ------- data : dict data['relative'] = np.ndarray, shape=(n_frames, 2) data['absolute'] = np.ndarray, shape=(n_frames, 2) Re...

Add an operation to this pump. Parameters ---------- operator : BaseTaskTransformer, FeatureExtractor The operation to add Raises ------ ParameterError if `op` is not of a correct type def add(self, operator): '''Add an operation to this...

Apply the transformations to an audio file, and optionally JAMS object. Parameters ---------- audio_f : str Path to audio file jam : optional, `jams.JAMS`, str or file-like Optional JAMS object/path to JAMS file/open file descriptor. If provided, th...

Construct a sampler object for this pump's operators. Parameters ---------- n_samples : None or int > 0 The number of samples to generate duration : int > 0 The duration (in frames) of each sample patch random_state : None, int, or np.random.RandomState...

A dictionary of fields constructed by this pump def fields(self): '''A dictionary of fields constructed by this pump''' out = dict() for operator in self.ops: out.update(**operator.fields) return out

Construct Keras input layers for all feature transformers in the pump. Returns ------- layers : {field: keras.layers.Input} A dictionary of keras input layers, keyed by the corresponding fields. def layers(self): '''Construct Keras input layers for all f...

Set the beat-tracking transition matrix according to self-loop probabilities. Parameters ---------- p_self : None, float in (0, 1), or np.ndarray [shape=(2,)] Optional self-loop probability(ies), used for Viterbi decoding def set_transition_beat(self, p_self): '''Se...

Set the downbeat-tracking transition matrix according to self-loop probabilities. Parameters ---------- p_self : None, float in (0, 1), or np.ndarray [shape=(2,)] Optional self-loop probability(ies), used for Viterbi decoding def set_transition_down(self, p_self): '...

Apply the beat transformer Parameters ---------- ann : jams.Annotation The input annotation duration : number > 0 The duration of the audio Returns ------- data : dict data['beat'] : np.ndarray, shape=(n, 1) B...

Inverse transformation for beats and optional downbeats def inverse(self, encoded, downbeat=None, duration=None): '''Inverse transformation for beats and optional downbeats''' ann = jams.Annotation(namespace=self.namespace, duration=duration) beat_times = np.asarray([t for t, _ in self.decode...

Transform an annotation to the beat-position encoding Parameters ---------- ann : jams.Annotation The annotation to convert duration : number > 0 The duration of the track Returns ------- data : dict data['position'] : np.nda...

Compute the tempogram Parameters ---------- y : np.ndarray Audio buffer Returns ------- data : dict data['tempogram'] : np.ndarray, shape=(n_frames, win_length) The tempogram def transform_audio(self, y): '''Compute the t...

Apply the scale transform to the tempogram Parameters ---------- y : np.ndarray The audio buffer Returns ------- data : dict data['temposcale'] : np.ndarray, shape=(n_frames, n_fmt) The scale transform magnitude coefficients def ...

Apply the structure agreement transformation. Parameters ---------- ann : jams.Annotation The segment annotation duration : number > 0 The target duration Returns ------- data : dict data['agree'] : np.ndarray, shape=(n, n), ...

Compute the STFT magnitude and phase. Parameters ---------- y : np.ndarray The audio buffer Returns ------- data : dict data['mag'] : np.ndarray, shape=(n_frames, 1 + n_fft//2) STFT magnitude data['phase'] : np.ndarra...

Compute the STFT with phase differentials. Parameters ---------- y : np.ndarray the audio buffer Returns ------- data : dict data['mag'] : np.ndarray, shape=(n_frames, 1 + n_fft//2) The STFT magnitude data['dphase'] :...

Compute the STFT Parameters ---------- y : np.ndarray The audio buffer Returns ------- data : dict data['mag'] : np.ndarray, shape=(n_frames, 1 + n_fft//2) The STFT magnitude def transform_audio(self, y): '''Compute the S...

Pad a chord annotation with no-chord flags. Parameters ---------- target : np.ndarray the input data axis : int the axis along which to pad Returns ------- target_pad `target` expanded by 1 along the specified `axis`. The expanded dimension will be 0 when `...

Empty chord annotations Parameters ---------- duration : number The length (in seconds) of the empty annotation Returns ------- ann : jams.Annotation A chord annotation consisting of a single `no-chord` observation. def empty(self, duration): ...

Apply the chord transformation. Parameters ---------- ann : jams.Annotation The chord annotation duration : number > 0 The target duration Returns ------- data : dict data['pitch'] : np.ndarray, shape=(n, 12) data...

Apply the chord transformation. Parameters ---------- ann : jams.Annotation The chord annotation duration : number > 0 The target duration Returns ------- data : dict data['pitch'] : np.ndarray, shape=(n, 12) `pi...

Set the transition matrix according to self-loop probabilities. Parameters ---------- p_self : None, float in (0, 1), or np.ndarray [shape=(n_labels,)] Optional self-loop probability(ies), used for Viterbi decoding def set_transition(self, p_self): '''Set the transition mat...

Simplify a chord string down to the vocabulary space def simplify(self, chord): '''Simplify a chord string down to the vocabulary space''' # Drop inversions chord = re.sub(r'/.*$', r'', chord) # Drop any additional or suppressed tones chord = re.sub(r'$.*?$', r'', chord) ...

Transform an annotation to chord-tag encoding Parameters ---------- ann : jams.Annotation The annotation to convert duration : number > 0 The duration of the track Returns ------- data : dict data['chord'] : np.ndarray, shape...

Compute the CQT Parameters ---------- y : np.ndarray The audio buffer Returns ------- data : dict data['mag'] : np.ndarray, shape = (n_frames, n_bins) The CQT magnitude data['phase']: np.ndarray, shape = mag.shape ...

Compute CQT magnitude. Parameters ---------- y : np.ndarray the audio buffer Returns ------- data : dict data['mag'] : np.ndarray, shape=(n_frames, n_bins) The CQT magnitude def transform_audio(self, y): '''Compute CQT ma...

Compute the CQT with unwrapped phase Parameters ---------- y : np.ndarray The audio buffer Returns ------- data : dict data['mag'] : np.ndarray, shape=(n_frames, n_bins) CQT magnitude data['dphase'] : np.ndarray, shap...

Compute the HCQT Parameters ---------- y : np.ndarray The audio buffer Returns ------- data : dict data['mag'] : np.ndarray, shape = (n_frames, n_bins, n_harmonics) The CQT magnitude data['phase']: np.ndarray, shape =...

Rearrange a tensor according to the convolution mode Input is assumed to be in (channels, bins, time) format. def _index(self, value): '''Rearrange a tensor according to the convolution mode Input is assumed to be in (channels, bins, time) format. ''' if self.conv in ('channe...

Compute HCQT magnitude. Parameters ---------- y : np.ndarray the audio buffer Returns ------- data : dict data['mag'] : np.ndarray, shape=(n_frames, n_bins) The CQT magnitude def transform_audio(self, y): '''Compute HCQT ...

Compute the HCQT with unwrapped phase Parameters ---------- y : np.ndarray The audio buffer Returns ------- data : dict data['mag'] : np.ndarray, shape=(n_frames, n_bins) CQT magnitude data['dphase'] : np.ndarray, sha...

Get a fill-value for a given dtype Parameters ---------- dtype : type Returns ------- `np.nan` if `dtype` is real or complex 0 otherwise def fill_value(dtype): '''Get a fill-value for a given dtype Parameters ---------- dtype : type Returns ------- `np.nan` ...

Create an empty jams.Annotation for this task. This method should be overridden by derived classes. Parameters ---------- duration : int >= 0 Duration of the annotation def empty(self, duration): '''Create an empty jams.Annotation for this task. This metho...

Transform jam object to make data for this task Parameters ---------- jam : jams.JAMS The jams container object query : string, dict, or callable [optional] An optional query to narrow the elements of `jam.annotations` to be considered. ...

Encode labeled events as a time-series matrix. Parameters ---------- duration : number The duration of the track events : ndarray, shape=(n,) Time index of the events values : ndarray, shape=(n, m) Values array. Must have the same first ind...

Encode labeled intervals as a time-series matrix. Parameters ---------- duration : number The duration (in frames) of the track intervals : np.ndarray, shape=(n, 2) The list of intervals values : np.ndarray, shape=(n, m) The (encoded) values...

Decode labeled events into (time, value) pairs Real-valued inputs are thresholded at 0.5. Optionally, viterbi decoding can be applied to each event class. Parameters ---------- encoded : np.ndarray, shape=(n_frames, m) Frame-level annotation encodings as produced b...

Decode labeled intervals into (start, end, value) triples Parameters ---------- encoded : np.ndarray, shape=(n_frames, m) Frame-level annotation encodings as produced by ``encode_intervals`` duration : None or float > 0 The max duration of the annota...

Transform an audio signal Parameters ---------- y : np.ndarray The audio signal sr : number > 0 The native sampling rate of y Returns ------- dict Data dictionary containing features extracted from y See Also ...

Compute the phase differential along a given axis Parameters ---------- phase : np.ndarray Input phase (in radians) Returns ------- dphase : np.ndarray like `phase` The phase differential. def phase_diff(self, phase): '''Compute the phas...

Construct Keras input layers for the given transformer Returns ------- layers : {field: keras.layers.Input} A dictionary of keras input layers, keyed by the corresponding field keys. def layers(self): '''Construct Keras input layers for the given transformer ...

Get the number of frames for a given duration Parameters ---------- duration : number >= 0 The duration, in seconds Returns ------- n_frames : int >= 0 The number of frames at this extractor's sampling rate and hop length def n_frame...

Create a new release branch. Args: component (str): Version component to bump when creating the release. Can be *major*, *minor* or *patch*. exact (str): The exact version to set for the release. Overrides the component argument. This allows to re-rel...

Tag the current commit with the current version. def tag(message): # type: () -> None """ Tag the current commit with the current version. """ release_ver = versioning.current() message = message or 'v{} release'.format(release_ver) with conf.within_proj_dir(): log.info("Creating release t...

Lint python files. Args: exclude (list[str]): A list of glob string patterns to test against. If the file/path matches any of those patters, it will be filtered out. skip_untracked (bool): If set to **True** it will skip all files not tracked by git. comm...

Decorator for defining lint tools. Args: name (str): The name of the tool. This name will be used to identify the tool in `pelconf.yaml`. def tool(name): # type: (str) -> FunctionType """ Decorator for defining lint tools. Args: name (str): The name...

Run code checks using pep8. Args: files (list[str]): A list of files to check Returns: bool: **True** if all files passed the checks, **False** otherwise. pep8 tool is **very** fast. Especially compared to pylint and the bigger the code base the bigger the difference. If y...

Run code checks using pylint. Args: files (list[str]): A list of files to check Returns: bool: **True** if all files passed the checks, **False** otherwise. def pylint_check(files): # type: (List[str]) -> int """ Run code checks using pylint. Args: files (list...

Run all linters and report results. Returns: bool: **True** if all checks were successful, **False** otherwise. def run(self): # type: () -> bool """ Run all linters and report results. Returns: bool: **True** if all checks were successful, **False** otherwise....

data = { "table_name" : 'name_of_the_azure_schema' + '.' + 'name_of_the_azure_table' #Must already exist, "columns_name" : [first_column_name,second_column_name,...,last_column_name], "rows" : [[first_raw_value,second_raw_value,...,last_raw_value],...] } def send_to_azure(instance, data,...

Returns a standard python Dict with computed values from the DynDict :param source: (DynDict) input :return: (dict) Containing computed values def getdict(source): """Returns a standard python Dict with computed values from the DynDict :param source: (DynDict) input :return: (dict) Containi...

Add a new property to the app (with setattr) Args: name (str): the name of the new property value (any): the value of the new property def enrich_app(self, name, value): ''' Add a new property to the app (with setattr) Args: name (str): the name of ...

Least squares linear fit. Fit a straight line `f(x_true) = a + bx` to points `(x_true, y)`. Returns coefficients `a` and `b` that minimize the squared error. Parameters ---------- x_true : array_like one dimensional array of `x_true` data with `n`>2 data points. y : array_li...

Set Isogeo base URLs according to platform. :param str platform: platform to use. Options: * prod [DEFAULT] * qa * int def set_base_url(self, platform: str = "prod"): """Set Isogeo base URLs according to platform. :param str platform: platform to use. Options: ...

Convert a metadata UUID to its URI equivalent. And conversely. :param str in_uuid: UUID or URI to convert :param int mode: conversion direction. Options: * 0 to HEX * 1 to URN (RFC4122) * 2 to URN (Isogeo specific style) def convert_uuid(self, in_uuid: str = str, mode: b...

Pull out the character set, encoding, and encoded text from the input encoded words. Next, it decodes the encoded words into a byte string, using either the quopri module or base64 module as determined by the encoding. Finally, it decodes the byte string using the character set and retur...

Get Isogeo components versions. Authentication not required. :param str component: which platform component. Options: * api [default] * db * app def get_isogeo_version(self, component: str = "api", prot: str = "https"): """Get Isogeo components versions. Authentication n...

Constructs the edition URL of a metadata. :param str md_id: metadata/resource UUID :param str owner_id: owner UUID :param str tab: target tab in the web form def get_edit_url( self, md_id: str = None, md_type: str = None, owner_id: str = None, tab: str =...

Constructs the view URL of a metadata. :param str webapp: web app destination :param dict kwargs: web app specific parameters. For example see WEBAPPS def get_view_url(self, webapp: str = "oc", **kwargs): """Constructs the view URL of a metadata. :param str webapp: web app destination...

Register a new WEBAPP to use with the view URL builder. :param str webapp_name: name of the web app to register :param list webapp_args: dynamic arguments to complete the URL. Typically 'md_id'. :param str webapp_url: URL of the web app to register with args tags to replace. E...

Returns the Isogeo API root URL (which is not included into credentials file) from the token URL (which is always included). :param url_api_token str: url to Isogeo API ID token generator def get_url_base_from_url_token( self, url_api_token: str = "https://id.api.isogeo.com/oauth/token" ):...

Simple helper to handle pagination. Returns the number of pages for a given number of results. :param int total: count of metadata in a search request :param int page_size: count of metadata to display in each page def pages_counter(self, total: int, page_size: int = 100) -> int: """Si...

Reverse search tags dictionary to values as keys. Useful to populate filters comboboxes for example. :param dict tags: tags dictionary from a search request :param dict prev_query: query parameters returned after a search request. Typically `search.get("query")`. :param str duplicated: ...

Extend share model with additional informations. :param dict share: share returned by API :param dict results_filtered: filtered search result def share_extender(self, share: dict, results_filtered: dict): """Extend share model with additional informations. :param dict share: share re...

Loads API credentials from a file, JSON or INI. :param str in_credentials: path to the credentials file. By default, look for a client_secrets.json file. def credentials_loader(self, in_credentials: str = "client_secrets.json") -> dict: """Loads API credentials from a file, JSON or INI. ...

Generate .pypirc config with the given credentials. Example: $ peltak pypi configure my_pypi_user my_pypi_pass def configure(username, password): # type: (str, str) -> None """ Generate .pypirc config with the given credentials. Example: $ peltak pypi configure my_pypi_user my_p...

Returns translation of string passed. :param str subdomain: subpart of strings dictionary. Must be one of self.translations.keys() i.e. 'restrictions' :param str string_to_translate: string you want to translate def tr(self, subdomain: str, string_to_translate: str = "") -> str: """Re...

This is a duplicte of the view code for DRF to stop future internal Django implementations breaking. def optout_saved(sender, instance, **kwargs): """ This is a duplicte of the view code for DRF to stop future internal Django implementations breaking. """ if instance.identity is None: #...

Gets an EC2 client :return: boto3.client object :raises: AWSAPIError def get_ec2_client(region_name=None, aws_access_key_id=None, aws_secret_access_key=None): """Gets an EC2 client :return: boto3.client object :raises: AWSAPIError """ log = logging.getLogger(mod_logger + '.get_ec2_client'...

Gets the VPC ID for this EC2 instance :return: String instance ID or None def get_vpc_id(self): """Gets the VPC ID for this EC2 instance :return: String instance ID or None """ log = logging.getLogger(self.cls_logger + '.get_vpc_id') # Exit if not running on AWS ...

Given an interface number, gets the AWS elastic network interface associated with the interface. :param interface: Integer associated to the interface/device number :return: String Elastic Network Interface ID or None if not found :raises OSError, AWSAPIError, EC2UtilError def get_eni_...

Adds an IP address as a secondary IP address :param ip_address: String IP address to add as a secondary IP :param interface: Integer associated to the interface/device number :return: None :raises: AWSAPIError, EC2UtilError def add_secondary_ip(self, ip_address, interface=1): "...

Given an elastic IP address and an interface number, associates the elastic IP to the interface number on this host. :param allocation_id: String ID for the elastic IP :param interface: Integer associated to the interface/device number :param private_ip: String IP address of the private...

Allocates an elastic IP address :return: Dict with allocation ID and Public IP that were created :raises: AWSAPIError, EC2UtilError def allocate_elastic_ip(self): """Allocates an elastic IP address :return: Dict with allocation ID and Public IP that were created :raises: AWSAP...

Creates a new Elastic Network Interface on the Subnet matching the subnet_name, with Security Group identified by the security_group_name, then attaches an Elastic IP address if specified in the allocation_id parameter, and finally attaches the new ENI to the EC2 instance instance_id at ...