From f918452dc6fad5a09342f59e680090e9700e4997 Mon Sep 17 00:00:00 2001 From: nilomr Date: Mon, 20 Feb 2023 22:03:10 +0000 Subject: [PATCH] bump docs --- docs/_build/html/.buildinfo | 2 +- .../html/_autosummary/pykanto.app.data.html | 12 +- .../_build/html/_autosummary/pykanto.app.html | 12 +- .../html/_autosummary/pykanto.app.main.html | 12 +- .../html/_autosummary/pykanto.dataset.html | 12 +- .../html/_autosummary/pykanto.parameters.html | 12 +- .../html/_autosummary/pykanto.plot.html | 12 +- .../_autosummary/pykanto.signal.analysis.html | 12 +- .../_autosummary/pykanto.signal.cluster.html | 12 +- .../_autosummary/pykanto.signal.filter.html | 12 +- .../html/_autosummary/pykanto.signal.html | 12 +- .../_autosummary/pykanto.signal.segment.html | 12 +- .../pykanto.signal.spectrogram.html | 12 +- .../_autosummary/pykanto.utils.compute.html | 12 +- .../_autosummary/pykanto.utils.custom.html | 12 +- .../html/_autosummary/pykanto.utils.html | 12 +- .../html/_autosummary/pykanto.utils.io.html | 12 +- .../_autosummary/pykanto.utils.paths.html | 148 +++- .../_autosummary/pykanto.utils.slurm.html | 12 +- .../pykanto.utils.slurm.launch.html | 12 +- .../pykanto.utils.slurm.tester.html | 12 +- .../_autosummary/pykanto.utils.types.html | 12 +- ...e909715526ae768ffbcdc1945c6349c78fdc41.png | Bin 225177 -> 0 bytes ...ff98cd2c2007800198be31b22fb73f6ea628ef.png | Bin 421298 -> 0 bytes ...81aa1e6789b6a3f608e68177bf9498a214c160.png | Bin 0 -> 467912 bytes ...0ad7be713c1300d13e88d0307f9b81029084f3.png | Bin 0 -> 31828 bytes ...a5f1d46b0d8a797feb889aad8778d147c51f91.png | Bin 0 -> 394811 bytes ...0c8494fd166912c337a77b30c143f1ad1c193b.png | Bin 337886 -> 0 bytes ...3c292131ca47fcc15adace69426a60fce1d29f.png | Bin 0 -> 279379 bytes ...a94c7f165a8e2c217e274c8b33931b7b9669ab.png | Bin 22422 -> 0 bytes docs/_build/html/_modules/index.html | 12 +- .../html/_modules/pykanto/app/data.html | 20 +- .../html/_modules/pykanto/app/main.html | 30 +- .../_build/html/_modules/pykanto/dataset.html | 70 +- .../html/_modules/pykanto/parameters.html | 66 +- docs/_build/html/_modules/pykanto/plot.html | 28 +- .../_modules/pykanto/signal/analysis.html | 20 +- .../html/_modules/pykanto/signal/cluster.html | 20 +- .../html/_modules/pykanto/signal/filter.html | 30 +- .../html/_modules/pykanto/signal/segment.html | 66 +- .../_modules/pykanto/signal/spectrogram.html | 42 +- .../html/_modules/pykanto/utils/compute.html | 30 +- .../html/_modules/pykanto/utils/custom.html | 18 +- .../html/_modules/pykanto/utils/io.html | 38 +- .../html/_modules/pykanto/utils/paths.html | 64 +- .../_modules/pykanto/utils/slurm/launch.html | 16 +- .../html/_modules/pykanto/utils/types.html | 32 +- .../_autosummary/pykanto.app.main.rst.txt | 2 +- .../_sources/contents/project-setup.md.txt | 30 + docs/_build/html/_static/copybutton.css | 3 +- docs/_build/html/_static/copybutton.js | 42 +- docs/_build/html/_static/copybutton_funcs.js | 17 +- .../locales/ar/LC_MESSAGES/booktheme.po | 72 +- 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.../html/contents/segmenting-files.html | 32 +- .../contents/segmenting-vocalisations.html | 38 +- docs/_build/html/genindex.html | 50 +- docs/_build/html/index.html | 12 +- docs/_build/html/objects.inv | Bin 2641 -> 2713 bytes docs/_build/html/py-modindex.html | 12 +- docs/_build/html/search.html | 12 +- docs/_build/html/searchindex.js | 2 +- 121 files changed, 2971 insertions(+), 2635 deletions(-) delete mode 100644 docs/_build/html/_images/274d3b09b55c37977608d3dc2ce909715526ae768ffbcdc1945c6349c78fdc41.png delete mode 100644 docs/_build/html/_images/57339ad7f43d8fab520c1607c6ff98cd2c2007800198be31b22fb73f6ea628ef.png create mode 100644 docs/_build/html/_images/5b46234493a475570de8ac0a5081aa1e6789b6a3f608e68177bf9498a214c160.png create mode 100644 docs/_build/html/_images/5f298e0da69bee29da51839ef40ad7be713c1300d13e88d0307f9b81029084f3.png create mode 100644 docs/_build/html/_images/8c06259aaed31b63d3628f72a7a5f1d46b0d8a797feb889aad8778d147c51f91.png delete mode 100644 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When it is not found, a full rebuild will be done. -config: 97956f68bf4b68e2109dd5c78a1a057a +config: 8d3dece494f9aa6c3ab1b26769a86beb tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/docs/_build/html/_autosummary/pykanto.app.data.html b/docs/_build/html/_autosummary/pykanto.app.data.html index f11d77d..c5fb0c7 100644 --- a/docs/_build/html/_autosummary/pykanto.app.data.html +++ b/docs/_build/html/_autosummary/pykanto.app.data.html @@ -21,9 +21,8 @@ href="../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2"> - - - + + @@ -36,12 +35,7 @@ - - - - - - + diff --git a/docs/_build/html/_autosummary/pykanto.app.html b/docs/_build/html/_autosummary/pykanto.app.html index 7c4fecd..a60b577 100644 --- a/docs/_build/html/_autosummary/pykanto.app.html +++ b/docs/_build/html/_autosummary/pykanto.app.html @@ -21,9 +21,8 @@ href="../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2"> - - - + + @@ -36,12 +35,7 @@ - - - - - - + diff --git a/docs/_build/html/_autosummary/pykanto.app.main.html b/docs/_build/html/_autosummary/pykanto.app.main.html index 3bd7636..1b0cfb8 100644 --- a/docs/_build/html/_autosummary/pykanto.app.main.html +++ b/docs/_build/html/_autosummary/pykanto.app.main.html @@ -21,9 +21,8 @@ href="../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2"> - - - + + @@ -36,12 +35,7 @@ - - - - - - + diff --git a/docs/_build/html/_autosummary/pykanto.dataset.html b/docs/_build/html/_autosummary/pykanto.dataset.html index 14a9344..c3877fc 100644 --- a/docs/_build/html/_autosummary/pykanto.dataset.html +++ b/docs/_build/html/_autosummary/pykanto.dataset.html @@ -21,9 +21,8 @@ href="../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2"> - - - + + @@ -36,12 +35,7 @@ - - - - - - + diff --git a/docs/_build/html/_autosummary/pykanto.parameters.html b/docs/_build/html/_autosummary/pykanto.parameters.html index 54dbcd4..035ceb4 100644 --- a/docs/_build/html/_autosummary/pykanto.parameters.html +++ b/docs/_build/html/_autosummary/pykanto.parameters.html @@ -21,9 +21,8 @@ href="../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2"> - - - + + @@ -36,12 +35,7 @@ - - - - - - + diff --git a/docs/_build/html/_autosummary/pykanto.plot.html b/docs/_build/html/_autosummary/pykanto.plot.html index 9bb09dc..923b125 100644 --- a/docs/_build/html/_autosummary/pykanto.plot.html +++ b/docs/_build/html/_autosummary/pykanto.plot.html @@ -21,9 +21,8 @@ href="../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2"> - - - + + @@ -36,12 +35,7 @@ - - - - - - + diff --git a/docs/_build/html/_autosummary/pykanto.signal.analysis.html b/docs/_build/html/_autosummary/pykanto.signal.analysis.html index 4a97614..e6fb268 100644 --- a/docs/_build/html/_autosummary/pykanto.signal.analysis.html +++ b/docs/_build/html/_autosummary/pykanto.signal.analysis.html @@ -21,9 +21,8 @@ href="../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2"> - - - + + @@ -36,12 +35,7 @@ - - - - - - + diff --git a/docs/_build/html/_autosummary/pykanto.signal.cluster.html b/docs/_build/html/_autosummary/pykanto.signal.cluster.html index 000f376..7728b6f 100644 --- a/docs/_build/html/_autosummary/pykanto.signal.cluster.html +++ b/docs/_build/html/_autosummary/pykanto.signal.cluster.html @@ -21,9 +21,8 @@ href="../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2"> - - - + + @@ -36,12 +35,7 @@ - - - - - - + diff --git a/docs/_build/html/_autosummary/pykanto.signal.filter.html b/docs/_build/html/_autosummary/pykanto.signal.filter.html index 62a07db..60b9753 100644 --- a/docs/_build/html/_autosummary/pykanto.signal.filter.html +++ b/docs/_build/html/_autosummary/pykanto.signal.filter.html @@ -21,9 +21,8 @@ href="../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2"> - - - + + @@ -36,12 +35,7 @@ - - - - - - + diff --git a/docs/_build/html/_autosummary/pykanto.signal.html b/docs/_build/html/_autosummary/pykanto.signal.html index bec7726..51dfc68 100644 --- a/docs/_build/html/_autosummary/pykanto.signal.html +++ b/docs/_build/html/_autosummary/pykanto.signal.html @@ -21,9 +21,8 @@ href="../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2"> - - - + + @@ -36,12 +35,7 @@ - - - - - - + diff --git a/docs/_build/html/_autosummary/pykanto.signal.segment.html b/docs/_build/html/_autosummary/pykanto.signal.segment.html index f81c1ba..ceb6902 100644 --- a/docs/_build/html/_autosummary/pykanto.signal.segment.html +++ b/docs/_build/html/_autosummary/pykanto.signal.segment.html @@ -21,9 +21,8 @@ href="../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2"> - - - + + @@ -36,12 +35,7 @@ - - - - - - + diff --git a/docs/_build/html/_autosummary/pykanto.signal.spectrogram.html b/docs/_build/html/_autosummary/pykanto.signal.spectrogram.html index 76216fb..8c35a00 100644 --- a/docs/_build/html/_autosummary/pykanto.signal.spectrogram.html +++ b/docs/_build/html/_autosummary/pykanto.signal.spectrogram.html @@ -21,9 +21,8 @@ href="../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2"> - - - + + @@ -36,12 +35,7 @@ - - - - - - + diff --git a/docs/_build/html/_autosummary/pykanto.utils.compute.html b/docs/_build/html/_autosummary/pykanto.utils.compute.html index cbbc68f..45f6afa 100644 --- a/docs/_build/html/_autosummary/pykanto.utils.compute.html +++ b/docs/_build/html/_autosummary/pykanto.utils.compute.html @@ -21,9 +21,8 @@ href="../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2"> - - - + + @@ -36,12 +35,7 @@ - - - - - - + diff --git a/docs/_build/html/_autosummary/pykanto.utils.custom.html b/docs/_build/html/_autosummary/pykanto.utils.custom.html index 3a6e142..a5f436f 100644 --- a/docs/_build/html/_autosummary/pykanto.utils.custom.html +++ b/docs/_build/html/_autosummary/pykanto.utils.custom.html @@ -21,9 +21,8 @@ href="../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2"> - - - + + @@ -36,12 +35,7 @@ - - - - - - + diff --git a/docs/_build/html/_autosummary/pykanto.utils.html b/docs/_build/html/_autosummary/pykanto.utils.html index 7f35dd8..f83aa3f 100644 --- a/docs/_build/html/_autosummary/pykanto.utils.html +++ b/docs/_build/html/_autosummary/pykanto.utils.html @@ -21,9 +21,8 @@ href="../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2"> - - - + + @@ -36,12 +35,7 @@ - - - - - - + diff --git a/docs/_build/html/_autosummary/pykanto.utils.io.html b/docs/_build/html/_autosummary/pykanto.utils.io.html index 361bc1c..1ff429b 100644 --- a/docs/_build/html/_autosummary/pykanto.utils.io.html +++ b/docs/_build/html/_autosummary/pykanto.utils.io.html @@ -21,9 +21,8 @@ href="../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2"> - - - + + @@ -36,12 +35,7 @@ - - - - - - + diff --git a/docs/_build/html/_autosummary/pykanto.utils.paths.html b/docs/_build/html/_autosummary/pykanto.utils.paths.html index bed151d..4642156 100644 --- a/docs/_build/html/_autosummary/pykanto.utils.paths.html +++ b/docs/_build/html/_autosummary/pykanto.utils.paths.html @@ -21,9 +21,8 @@ href="../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2"> - - - + + @@ -36,12 +35,7 @@ - - - - - - + @@ -503,10 +497,138 @@

pykanto.utils.paths

+
+
+PROJECT#
+

Root directory of the project.

+
+
Type
+

Path

+
+
+
+ +
+
+DATA#
+

Directory for project data.

+
+
Type
+

Path

+
+
+
+ +
+
+RAW_DATA#
+

(Immutable) location of the raw data to be used in +this project.

+
+
Type
+

Path

+
+
+
+ +
+
+SEGMENTED#
+

Directory for segmented audio data.

+
+
Type
+

Path

+
+
+
+ +
+
+SPECTROGRAMS#
+

Directory for project spectrograms.

+
+
Type
+

Path

+
+
+
+ +
+
+RESOURCES#
+

Directory for project resources.

+
+
Type
+

Path

+
+
+
+ +
+
+REPORTS#
+

Directory for project reports.

+
+
Type
+

Path

+
+
+
+ +
+
+FIGURES#
+

Directory for project figures.

+
+
Type
+

Path

+
+
+
+ +
+
+DATASET#
+

Directory for project datasets.

+
+
Type
+

Path

+
+
+
+ +
+
+DATASET_ID#
+

Name of the dataset.

+
+
Type
+

str

+
+
+
+

Examples

-
>>> PROJROOT = Path('home' / 'user' / 'projects' / 'myproject')
->>> RAW_DATA= Path('bigexternaldrive' / 'fieldrecordings')
->>> DIRS = ProjDirs(PROJROOT, RAW_DATA, mkdir=True)
+
>>> from pathlib import Path
+>>> from pykanto.utils.paths import ProjDirs
+>>> DATASET_ID = "BIGBIRD"
+>>> PROJROOT = Path('home' / 'user' / 'projects' / 'myproject')
+>>> RAW_DATA= Path('bigexternaldrive' / 'fieldrecordings')
+>>> DIRS = ProjDirs(PROJROOT, RAW_DATA, DATASET_ID, mkdir=True)
+... 📁 project
+... ├── 📁 data
+... │   ├── 📁 datasets
+... │   │   └── 📁 <DATASET_ID>
+... │   │       ├── <DATASET_ID>.db
+... │   │       └── 📁 spectrograms
+... |   ├── 📁 RAW_DATA
+... │   │   └── 📁 <DATASET_ID>
+... │   └── 📁 segmented
+... │       └── 📁 <lowercase name of RAW_DATA>
+... ├── 📁 resources
+... ├── 📁 reports
+... │   └── 📁 figures
+... └── <other project files>
 
@@ -536,7 +658,7 @@

pykanto.utils.paths

Updates the wav_file field in JSON metadata files for a given project. This is useful if you have moved your data to a new location. It will fix broken links to the .wav files, provided that the -ProjDirs object has a SEGMENTED +ProjDirs object has a SEGMENTED attribute pointing to a valid directory containing /WAV and /JSON subdirectories.

diff --git a/docs/_build/html/_autosummary/pykanto.utils.slurm.html b/docs/_build/html/_autosummary/pykanto.utils.slurm.html index ec486cf..d44ce40 100644 --- a/docs/_build/html/_autosummary/pykanto.utils.slurm.html +++ b/docs/_build/html/_autosummary/pykanto.utils.slurm.html @@ -21,9 +21,8 @@ href="../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2"> - - - + + @@ -36,12 +35,7 @@ - - - - - - + diff --git a/docs/_build/html/_autosummary/pykanto.utils.slurm.launch.html b/docs/_build/html/_autosummary/pykanto.utils.slurm.launch.html index 48f69fd..e56175c 100644 --- a/docs/_build/html/_autosummary/pykanto.utils.slurm.launch.html +++ b/docs/_build/html/_autosummary/pykanto.utils.slurm.launch.html @@ -21,9 +21,8 @@ href="../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2"> - - - + + @@ -36,12 +35,7 @@ - - - - - - + diff --git a/docs/_build/html/_autosummary/pykanto.utils.slurm.tester.html b/docs/_build/html/_autosummary/pykanto.utils.slurm.tester.html index c334345..a0537b0 100644 --- a/docs/_build/html/_autosummary/pykanto.utils.slurm.tester.html +++ b/docs/_build/html/_autosummary/pykanto.utils.slurm.tester.html @@ -21,9 +21,8 @@ href="../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2"> - - - + + @@ -36,12 +35,7 @@ - - - - - - + diff --git a/docs/_build/html/_autosummary/pykanto.utils.types.html b/docs/_build/html/_autosummary/pykanto.utils.types.html index a2a42e9..dee1be0 100644 --- a/docs/_build/html/_autosummary/pykanto.utils.types.html +++ b/docs/_build/html/_autosummary/pykanto.utils.types.html @@ -21,9 +21,8 @@ href="../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2"> - - - + + @@ -36,12 +35,7 @@ - - - - - - + diff --git a/docs/_build/html/_images/274d3b09b55c37977608d3dc2ce909715526ae768ffbcdc1945c6349c78fdc41.png b/docs/_build/html/_images/274d3b09b55c37977608d3dc2ce909715526ae768ffbcdc1945c6349c78fdc41.png deleted file mode 100644 index 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a/docs/_build/html/_modules/pykanto/app/data.html +++ b/docs/_build/html/_modules/pykanto/app/data.html @@ -20,9 +20,8 @@ href="../../../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2"> - - - + + @@ -35,12 +34,7 @@ - - - - - - + @@ -439,7 +433,7 @@

    Source code for pykanto.app.data

     
    [docs]def embeddable_image( data: np.ndarray, invert: bool = False, background: int = 41 ) -> str: - """ + """ Save a base 64 png from a np.ndarray. Source: `Leland McInnes, 2018 <https://umap-learn.readthedocs.io/en/latest/basic_usage.html>`_. @@ -475,7 +469,7 @@

    Source code for pykanto.app.data

         spec_length: int = 500,
         song_level: bool = False,
     ) -> Tuple[str, Path]:
    -    """
    +    """
         Prepare and save data source for the interactibe labelling application.
     
         Args:
    @@ -533,7 +527,7 @@ 

    Source code for pykanto.app.data

         song_level: bool = False,
         num_cpus: float | None = None,
     ) -> List[List[Tuple[str, Path]]]:
    -    """
    +    """
         Prepare and save data sources for the interactibe labelling application (parallel).
     
         Args:
    @@ -625,7 +619,7 @@ 

    Source code for pykanto.app.data

     
    [docs]def load_app_data( dataset: KantoData, datatype: str, ID: str ) -> ColumnDataSource: - """ + """ Load saved data source to use in interactive labelling app. Args: diff --git a/docs/_build/html/_modules/pykanto/app/main.html b/docs/_build/html/_modules/pykanto/app/main.html index b8c511e..5213579 100644 --- a/docs/_build/html/_modules/pykanto/app/main.html +++ b/docs/_build/html/_modules/pykanto/app/main.html @@ -20,9 +20,8 @@ href="../../../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2"> - - - + + @@ -35,12 +34,7 @@ - - - - - - + @@ -444,7 +438,7 @@

    Source code for pykanto.app.main

     
     
     
    [docs]def get_markers(marker_types: List[str], mapping: np.ndarray) -> List[str]: - """ + """ Maps a list of markers to labels. Args: @@ -467,7 +461,7 @@

    Source code for pykanto.app.main

         labs: List[str],
         grouping_labels: str = "auto_class",
     ) -> tuple[List[str], list[str], field]:
    -    """
    +    """
         Prepares the legend for the scatterplot.
     
         Args:
    @@ -514,7 +508,7 @@ 

    Source code for pykanto.app.main

     
     
     
    [docs]def build_legend(source, html_markers, span_mk_sizes, mk_colours): - """ + """ Builds the legend for the main interactive plot. Args: @@ -555,7 +549,7 @@

    Source code for pykanto.app.main

     
     
     
    [docs]def update_feedback_text(indv_list, remaining_indvs): - """ + """ Updates the feedback text for the user. Args: @@ -566,7 +560,7 @@

    Source code for pykanto.app.main

             str: Feedback text.
         """
         text = (
    -        f"// <b>{len(indv_list) - len(remaining_indvs)} out of {len(indv_list)} done</b> // "
    +        f"// <b>{len(indv_list) - len(remaining_indvs)} out of {len(indv_list)} done</b> // "
             "Use the 'Label' button to change the label of the selected points. "
             "Label data are automatically saved when you click 'Next'.<br>"
             "Points labelled '-1' (red asterisks) are considered noise."
    @@ -575,7 +569,7 @@ 

    Source code for pykanto.app.main

     
     
     
    [docs]def parse_boolean(b): - """ + """ Parses a boolean. Args: @@ -588,7 +582,7 @@

    Source code for pykanto.app.main

     
     
     
    [docs]def set_range(sdata, ax_percentage=5): - """ + """ Sets the range of the scatterplot. Args: @@ -756,7 +750,7 @@

    Source code for pykanto.app.main

         splot.add_tools(
             HoverTool(
                 tooltips=(
    -                """
    +                """
         <div @spectrogram{custom}>
             <div class="hover_container">
                 <img class='hover_img' src='@spectrogram' style='float: top; width:120px;height:120px;'/>
    @@ -800,7 +794,7 @@ 

    Source code for pykanto.app.main

         )
     
         def get_legend_items() -> list[LegendItem]:
    -        """
    +        """
             Returns a list of LegendItem objects for the legend.
             """
             dummy_labels = list(dict.fromkeys(source.data["auto_class"]))
    diff --git a/docs/_build/html/_modules/pykanto/dataset.html b/docs/_build/html/_modules/pykanto/dataset.html
    index f85e316..9d6d3b3 100644
    --- a/docs/_build/html/_modules/pykanto/dataset.html
    +++ b/docs/_build/html/_modules/pykanto/dataset.html
    @@ -20,9 +20,8 @@
         href="../../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2">
     
         
    -    
    -    
    -    
    +    
    +    
         
         
         
    @@ -35,12 +34,7 @@
         
         
         
    -    
    -    
    -    
    -    
    -    
    -    
    +    
         
         
         
    @@ -451,7 +445,7 @@ 

    Source code for pykanto.dataset

     
     
     
    [docs]class KantoData: - """ + """ Main dataset class. See `__init__` docstring. """ @@ -464,7 +458,7 @@

    Source code for pykanto.dataset

             overwrite_dataset: bool = False,
             overwrite_data: bool = False,
         ) -> None:
    -        """
    +        """
             Instantiates the main dataset class.
     
             Note:
    @@ -530,7 +524,7 @@ 

    Source code for pykanto.dataset

             print("Done")
    def __str__(self) -> str: - """ + """ Returns the class object as a string. Returns: str: Pretty printed dictionary contents @@ -548,7 +542,7 @@

    Source code for pykanto.dataset

     
         @timing
         def _get_wav_json_filedirs(self, random_subset: None | int = None) -> None:
    -        """
    +        """
             Get paths of wav and json files for this dataset.
     
             Args:
    @@ -620,7 +614,7 @@ 

    Source code for pykanto.dataset

     
         @timing
         def _load_metadata(self) -> None:
    -        """
    +        """
             Loads json metadata in sequence if there are < 100 items, in parallel
             chunks of length chunk_len if there are > 1000 items.
             """
    @@ -647,7 +641,7 @@ 

    Source code for pykanto.dataset

                 self.metadata[wavfile.stem]["wav_file"] = wavfile.as_posix()
     
         def _get_unique_ids(self) -> None:
    -        """
    +        """
             Adds a 'unique_ID' attribute holding an array with unique IDs in the
             dataset.
             """
    @@ -655,7 +649,7 @@ 

    Source code for pykanto.dataset

             self.unique_ID = np.unique(self.ID)
     
         def _create_df(self) -> None:
    -        """
    +        """
             Creates pandas DataFrames from the metadata dictionary and adds them to
                 the KantoData instance.
     
    @@ -693,7 +687,7 @@ 

    Source code for pykanto.dataset

         def _compute_melspectrograms(
             self, overwrite_data: bool = False, **kwargs
         ) -> None:
    -        """
    +        """
             Compute melspectrograms and add their location to the KantoData object.
             It applies dereverberation to and bandpasses spectrogram data by
             default.
    @@ -740,7 +734,7 @@ 

    Source code for pykanto.dataset

     
    [docs] def plot_summary( self, nbins: int = 50, variable: str = "frequency" ) -> None: - """ + """ Plots a histogram + kernel density estimate of the frequency distribution of vocalisation duration and frequencies. @@ -763,7 +757,7 @@

    Source code for pykanto.dataset

             kplot.build_plot_summary(self, nbins=nbins, variable=variable)
    [docs] def plot(self, key: str, segmented: bool = False, **kwargs) -> None: - """ + """ Plot an spectrogram from the dataset. Args: @@ -798,12 +792,12 @@

    Source code for pykanto.dataset

                 )
    [docs] def sample_info(self) -> None: - """ + """ Prints the length of the KantoData and other information. """ out = inspect.cleandoc( f""" - Total length: {len(self.metadata)} + Total length: {len(self.metadata)} Unique IDs: {len(self.unique_ID)}""" ) print(out)
    @@ -816,7 +810,7 @@

    Source code for pykanto.dataset

             return_keys: bool = False,
             **kwargs,
         ) -> None | List[str]:
    -        """
    +        """
             Show mel spectrograms for songs at the ends of the time or
             frequency distribution.
     
    @@ -912,7 +906,7 @@ 

    Source code for pykanto.dataset

     
     
    [docs] @timing def segment_into_units(self, overwrite: bool = False) -> None: - """ + """ Adds segment onsets, offsets, unit and silence durations to :attr:`~.KantoData.data`. @@ -991,7 +985,7 @@

    Source code for pykanto.dataset

     
     
    [docs] @timing def subset(self, ids: List[str], new_dataset: str) -> KantoData: - """ + """ Creates a new dataset containing a subset of the IDs present in the original dataset (e.g., different individual birds). @@ -1045,7 +1039,7 @@

    Source code for pykanto.dataset

             return subself
    [docs] def save_to_disk(self, verbose: bool = True) -> None: - """ + """ Save dataset to disk. """ # Save dataset @@ -1056,7 +1050,7 @@

    Source code for pykanto.dataset

                 print(f"Saved dataset to {out_dir}")
    [docs] def to_csv(self, path: Path, timestamp: bool = True) -> None: - """ + """ Output vocalisation (and, if present, unit) metadata in the dataset as a .csv file. @@ -1071,7 +1065,7 @@

    Source code for pykanto.dataset

                 self.units.to_csv(path / f"{self.DIRS.DATASET.stem}_UNITS_{t}.csv")
    [docs] def reload(self) -> KantoData: - """ + """ Load the current dataset from disk. Remember to assign the output to a variable! @@ -1089,7 +1083,7 @@

    Source code for pykanto.dataset

     
     
    [docs] @timing def get_units(self, pad: bool = False) -> None: - """ + """ Creates and saves a dictionary containing spectrogram representations of the units or the average of the units present in the vocalisations of each individual ID @@ -1141,14 +1135,14 @@

    Source code for pykanto.dataset

             self.save_to_disk(verbose=self.parameters.verbose)
    [docs] def write_to_json(self) -> None: - """ + """ Write the dataset to the existing JSON files for each vocalisation. """ save_to_jsons(self)
    [docs] @timing def cluster_ids(self, min_sample: int = 10) -> None: - """ + """ Dimensionality reduction using UMAP + unsupervised clustering using HDBSCAN. This will fail if the sample size for an ID (grouping factor, such as individual or population) is too small. @@ -1179,7 +1173,7 @@

    Source code for pykanto.dataset

         def prepare_interactive_data(
             self, spec_length: float | None = None
         ) -> None:
    -        """
    +        """
             Prepare lightweigth representations of each vocalization
             or unit (if song_level=False in :attr:`~.KantoData.parameters`)
             for each individual in the dataset.
    @@ -1223,13 +1217,23 @@ 

    Source code for pykanto.dataset

                 columns=["ID", "voc_app_data" if song_level else "unit_app_data"],
             )
             int_df["voc_check" if song_level else "unit_check"] = False
    -        self.files.update(int_df)
    +        ID = self.files.ID
    +        self.files = self.files.drop(
    +            self.files.columns.intersection(int_df.columns), axis=1
    +        )
    +        self.files["ID"] = ID
    +        self.files = (
    +            self.files.reset_index()
    +            .merge(int_df, how="left", on="ID")
    +            .set_index("index")
    +        )
    +
             self.save_to_disk(verbose=self.parameters.verbose)
    [docs] def open_label_app( self, palette: Tuple[Literal[str], ...] = Set3_12, max_n_labs: int = 10 ) -> None: - """ + """ Opens a new web browser tab with an interactive app that can be used to check the accuracy of the automaticaly assigned labels. Uses average units per vocalisation (if song_level=True in self.parameters) or diff --git a/docs/_build/html/_modules/pykanto/parameters.html b/docs/_build/html/_modules/pykanto/parameters.html index a1cb020..0d1b54d 100644 --- a/docs/_build/html/_modules/pykanto/parameters.html +++ b/docs/_build/html/_modules/pykanto/parameters.html @@ -20,9 +20,8 @@ href="../../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2"> - - - + + @@ -35,12 +34,7 @@ - - - - - - + @@ -414,13 +408,13 @@

    Source code for pykanto.parameters

     
     
    [docs]class Parameters: # TODO: #8 Parameters should be an attrs class with validation @nilomr - """ + """ General parameters class - stores parameters to be passed to a :meth:`~pykanto.dataset.KantoData` object. """
    [docs] def __init__(self, **kwargs: Any): - """ + """ Sets default parameters, then updates with user-provided parameters. """ @@ -428,68 +422,68 @@

    Source code for pykanto.parameters

     
             # Spectrogramming
             self.window_length: int = 1024
    -        """Number of samples. Defaults to 1024."""
    +        """Number of samples. Defaults to 1024."""
             self.hop_length: int = 128
    -        """Number of samples between successive frames. Defaults to 128."""
    +        """Number of samples between successive frames. Defaults to 128."""
             self.fft_size: int = 2048
    -        """Number of bins used to divide the window. Defaults to 2048."""
    +        """Number of bins used to divide the window. Defaults to 2048."""
             self.num_mel_bins: int = 224
    -        """Number of Mel frequency bins to use 
    +        """Number of Mel frequency bins to use 
             (n of 'rows' in mel-spectrogram). Defaults to 224."""
             self.sr: int = 22050
    -        """The sampling rate (samples taken per second). 
    +        """The sampling rate (samples taken per second). 
             Defaults to 22050."""
             self.hop_length_ms: float = self.sr / self.hop_length
    -        """Calculated automatically."""
    +        """Calculated automatically."""
             self.fft_rate: float = 1000 / self.hop_length_ms
    -        """Calculated automatically."""
    +        """Calculated automatically."""
             self.top_dB: int = 65
    -        """Top dB to keep. Defaults to 65.
    +        """Top dB to keep. Defaults to 65.
             Example: if ``top_dB`` = 65 anything below -65dB will be masked."""
             self.lowcut: int = 1000
    -        """Minimum frequency (in Hz) to include by default. Defaults to 1000."""
    +        """Minimum frequency (in Hz) to include by default. Defaults to 1000."""
             self.highcut: int = 10000
    -        """Maximum frequency (in Hz) to include by default. 
    +        """Maximum frequency (in Hz) to include by default. 
             Defaults to 10000."""
             self.dereverb: bool = False
    -        """Wether to reduce reverberation in the spectrograms. 
    +        """Wether to reduce reverberation in the spectrograms. 
             Defaults to False"""
     
             # Segmentation
             self.max_dB: int = -30
    -        """Maximum threshold to reach during segmentation, in dB. 
    +        """Maximum threshold to reach during segmentation, in dB. 
             Defaults to -30"""
             self.dB_delta: int = 5
    -        """Size of thresholding steps, in dB. Defaults to 5."""
    +        """Size of thresholding steps, in dB. Defaults to 5."""
             self.silence_threshold: float = 0.2
    -        """Threshold separating silence from voiced segments. 
    +        """Threshold separating silence from voiced segments. 
             Between 0.1 and 0.3 tends to work well. Defaults to 0.2."""
             self.max_unit_length: float = 0.4
    -        """Maximum unit length allowed. Defaults to 0.4. """
    +        """Maximum unit length allowed. Defaults to 0.4. """
             self.min_unit_length: float = 0.03
    -        """Minimum unit length allowed. Defaults to 0.03."""
    +        """Minimum unit length allowed. Defaults to 0.03."""
             self.min_silence_length: float = 0.001
    -        """Minimum silence length allowed. Defaults to 0.001."""
    +        """Minimum silence length allowed. Defaults to 0.001."""
             self.gauss_sigma: int = 3
    -        """Sigma for gaussian kernel. Defaults to 3."""
    +        """Sigma for gaussian kernel. Defaults to 3."""
     
             # general settings
             self.song_level: bool = False
    -        """Whether to return the average of all units.
    +        """Whether to return the average of all units.
             Defaults to False (return individual units in each vocalisation)"""
             self.subset: Tuple[int, int] | None = None
    -        """Indices of the first and last items to include in the dataset. 
    +        """Indices of the first and last items to include in the dataset. 
             Optional, defaults to None."""
             self.num_cpus: None | int = None
    -        """How many cpus to use for parallel computing. Default is available
    +        """How many cpus to use for parallel computing. Default is available
             number of cpus"""
             self.verbose: bool = False
    -        """How much detail to provide. Defaults to False (not verbose)."""
    +        """How much detail to provide. Defaults to False (not verbose)."""
             # Update with user-provided parameters.
             self.__dict__.update(kwargs)
    [docs] def update(self, **kwargs: Any) -> None: - """ + """ Update one or more parameters. Raises: @@ -504,13 +498,13 @@

    Source code for pykanto.parameters

             self.__dict__.update(kwargs)
    [docs] def add(self, **kwargs: Any) -> None: - """ + """ Add one or more new parameters. """ self.__dict__.update(kwargs)
    def __str__(self) -> str: - """ + """ Returns the class objects as a string. Returns: str: Pretty printed dictionary contents. diff --git a/docs/_build/html/_modules/pykanto/plot.html b/docs/_build/html/_modules/pykanto/plot.html index 05a435c..7700788 100644 --- a/docs/_build/html/_modules/pykanto/plot.html +++ b/docs/_build/html/_modules/pykanto/plot.html @@ -20,9 +20,8 @@ href="../../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2"> - - - + + @@ -35,12 +34,7 @@ - - - - - - + @@ -438,7 +432,7 @@

    Source code for pykanto.plot

     
     
     
    [docs]def sns_histoplot(data, nbins=100) -> None: - """ + """ Plots a histogram using seaborn """ @@ -458,7 +452,7 @@

    Source code for pykanto.plot

         max_lenght: None | float = None,
         colour_bar=True,
     ) -> Axes:
    -    """
    +    """
         Plots a melspectrogram from a numpy array or path to a numpy array.
     
         Args:
    @@ -571,7 +565,7 @@ 

    Source code for pykanto.plot

         onsets_offsets: bool | Tuple[np.ndarray, np.ndarray] = False,
         **kwargs,
     ) -> None:
    -    """
    +    """
         Plots a vocalisation and overlays the results
         of the segmentation process.
     
    @@ -631,7 +625,7 @@ 

    Source code for pykanto.plot

     
     
     
    [docs]def mspaced_mask(N: int, M: int) -> List[int]: - """ + """ Returns a mask of length N to select M indices as regularly spaced as possible. @@ -657,7 +651,7 @@

    Source code for pykanto.plot

     
     
    [docs]@njit def rand_jitter(arr: np.ndarray, jitter: float = 0.001) -> np.ndarray: - """ + """ Adds random jitter to an array. Args: @@ -678,7 +672,7 @@

    Source code for pykanto.plot

         key: None | str = None,
         spec: None | np.ndarray = None,
     ) -> None:
    -    """
    +    """
         Plots spectral centroids and bandwiths over a mel spectrogram.
         You can either provide a key string for a vocalisation or its
         mel spectrogram directly.
    @@ -724,7 +718,7 @@ 

    Source code for pykanto.plot

         key: None | str = None,
         spec: None | np.ndarray = None,
     ) -> None:
    -    """
    +    """
         Plots approximate minimum and maximum frequencies over a mel spectrogram.
         You can either provide a key string for a vocalisation or its
         mel spectrogram directly.
    @@ -761,7 +755,7 @@ 

    Source code for pykanto.plot

     
    [docs]def build_plot_summary( dataset: KantoData, nbins: int = 50, variable: str = "frequency" ) -> None: - """ + """ Plots a histogram + kernel densiyy estimate of the frequency distribution of vocalisation duration and frequencies. diff --git a/docs/_build/html/_modules/pykanto/signal/analysis.html b/docs/_build/html/_modules/pykanto/signal/analysis.html index f73b7e4..3ddae9e 100644 --- a/docs/_build/html/_modules/pykanto/signal/analysis.html +++ b/docs/_build/html/_modules/pykanto/signal/analysis.html @@ -20,9 +20,8 @@ href="../../../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2"> - - - + + @@ -35,12 +34,7 @@ - - - - - - + @@ -427,7 +421,7 @@

    Source code for pykanto.signal.analysis

         melscale: bool = True,
         threshold: float = 0.3,
     ) -> np.ndarray:
    -    """
    +    """
         Return the peak frequencies of each spectrogram in an array of spectrograms.
     
         Args:
    @@ -469,7 +463,7 @@ 

    Source code for pykanto.signal.analysis

         spec: None | np.ndarray = None,
         plot: bool = False,
     ) -> Tuple[np.ndarray, np.ndarray]:
    -    """
    +    """
         Calculate a vocalisation's spectral centroid and bandwidth from a mel
         spectrogram. You can either provide a key string for a vocalisation or its
         mel spectrogram directly.
    @@ -511,7 +505,7 @@ 

    Source code for pykanto.signal.analysis

     
     
     
    [docs]def get_mean_sd_mfcc(S: np.ndarray, n_mfcc: int) -> np.ndarray: - """ + """ Extract the mean and SD of n Mel-frequency cepstral coefficients (MFCCs) calculated ffrom a log-power Mel spectrogram. @@ -535,7 +529,7 @@

    Source code for pykanto.signal.analysis

         roll_percents: list[float] = [0.95, 0.1],
         plot: bool = False,
     ) -> Tuple[np.ndarray, np.ndarray]:
    -    """
    +    """
         Calculate approximate minimum and maximum frequencies from a mel
         spectrogram. You can either provide a key string for a vocalisation or its
         mel spectrogram directly.
    diff --git a/docs/_build/html/_modules/pykanto/signal/cluster.html b/docs/_build/html/_modules/pykanto/signal/cluster.html
    index 6410c6b..e09abf2 100644
    --- a/docs/_build/html/_modules/pykanto/signal/cluster.html
    +++ b/docs/_build/html/_modules/pykanto/signal/cluster.html
    @@ -20,9 +20,8 @@
         href="../../../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2">
     
         
    -    
    -    
    -    
    +    
    +    
         
         
         
    @@ -35,12 +34,7 @@
         
         
         
    -    
    -    
    -    
    -    
    -    
    -    
    +    
         
         
         
    @@ -453,7 +447,7 @@ 

    Source code for pykanto.signal.cluster

         verbose: bool = False,
         **kwargs,
     ) -> Tuple[np.ndarray, umap.UMAP]:
    -    """
    +    """
         Uniform Manifold Approximation and Projection.
         Uses either the cuml GPU-accelerated version or the 'regular' umap version.
         See the documentation of either for valid kwargs.
    @@ -499,7 +493,7 @@ 

    Source code for pykanto.signal.cluster

         min_samples: None | int = None,
         **kwargs,
     ) -> HDBSCAN:
    -    """
    +    """
         Perform HDBSCAN clustering from vector array or distance matrix.
         Convenience wrapper. See the
         `HDBSCAN* docs <https://hdbscan.readthedocs.io/en/latest/parameter_selection.html>`_.
    @@ -534,7 +528,7 @@ 

    Source code for pykanto.signal.cluster

         dataset: KantoData, ID: str, song_level: bool = False, min_sample: int = 10
     ) -> pd.DataFrame | None:
         # TODO: pass UMAP and HDBSCAN params!
    -    """
    +    """
         Args:
             dataset (KantoData): Data to be used.
             ID (str): Grouping factor.
    @@ -634,7 +628,7 @@ 

    Source code for pykanto.signal.cluster

     
    [docs]def reduce_and_cluster_parallel( dataset: KantoData, min_sample: int = 10, num_cpus: float | None = None ) -> pd.DataFrame | None: - """ + """ Parallel implementation of :func:`~pykanto.signal.cluster.reduce_and_cluster`. """ diff --git a/docs/_build/html/_modules/pykanto/signal/filter.html b/docs/_build/html/_modules/pykanto/signal/filter.html index b942f22..faed34d 100644 --- a/docs/_build/html/_modules/pykanto/signal/filter.html +++ b/docs/_build/html/_modules/pykanto/signal/filter.html @@ -20,9 +20,8 @@ href="../../../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2"> - - - + + @@ -35,12 +34,7 @@ - - - - - - + @@ -426,7 +420,7 @@

    Source code for pykanto.signal.filter

         hop_length: int = 128,
         sr: int = 22050,
     ) -> np.ndarray:
    -    """
    +    """
         Reduce echo in a spectrogram by subtracting a delayed version of itself.
         Based in JS code from
         `Robert Lachlan <https://rflachlan.github.io/Luscinia/>`_.
    @@ -484,7 +478,7 @@ 

    Source code for pykanto.signal.filter

     
    [docs]def get_norm_spectral_envelope( mel_spectrogram: np.ndarray, mindb: int, kernel_size: int = 5 ) -> np.ndarray: - """ + """ Returns a spectral envelope of sorts - useful to quickly characterise a song's frequency distribution. Minmax rescaled to [0,1] @@ -509,7 +503,7 @@

    Source code for pykanto.signal.filter

     
     
     
    [docs]def gaussian_blur(array: np.ndarray, gauss_sigma: int = 3, max: int = 0): - """ + """ Gaussian blur a 2d numpy array, rescale to desired range to account for loss. Args: @@ -531,7 +525,7 @@

    Source code for pykanto.signal.filter

     
     
     
    [docs]class kernels: - """ + """ Class holding kernels for use in filtering. """ @@ -547,7 +541,7 @@

    Source code for pykanto.signal.filter

     
     
    [docs]@njit def norm(x: np.ndarray) -> np.ndarray: - """ + """ Normalise a numpy array to [0,1]. Args: @@ -560,7 +554,7 @@

    Source code for pykanto.signal.filter

     
     
     
    [docs]def normalise(S: np.ndarray, min_level_db: int) -> np.ndarray: - """ + """ Normalise a numpy array to [0,1] and clip to min_level_db. Args: @@ -574,7 +568,7 @@

    Source code for pykanto.signal.filter

     
     
     
    [docs]def hz_to_mel_lib(hz: int, minmax_freq: Tuple[int, int], parameters): - """Convert hz to mel frequencies + """Convert hz to mel frequencies Args: hz (int): [description] @@ -591,7 +585,7 @@

    Source code for pykanto.signal.filter

     
     
     
    [docs]def mel_to_hz(mel_bin: int, dataset: KantoData) -> int: - """ + """ Returns the original frequency from a mel bin index. Requires a KantoData object with set parameters. @@ -611,7 +605,7 @@

    Source code for pykanto.signal.filter

     
     
     
    [docs]def mels_to_hzs(dataset: KantoData) -> np.ndarray[int]: - """ + """ Returns the original frequencies from the mel bins used in a dataset. Requires a KantoData object with set parameters. diff --git a/docs/_build/html/_modules/pykanto/signal/segment.html b/docs/_build/html/_modules/pykanto/signal/segment.html index 32ae8c7..0b4218c 100644 --- a/docs/_build/html/_modules/pykanto/signal/segment.html +++ b/docs/_build/html/_modules/pykanto/signal/segment.html @@ -20,9 +20,8 @@ href="../../../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2"> - - - + + @@ -35,12 +34,7 @@ - - - - - - + @@ -463,7 +457,7 @@

    Source code for pykanto.signal.segment

     
     
     
    [docs]class ReadWav: - """ + """ Reads a wav file and its metadata. Note: @@ -477,12 +471,12 @@

    Source code for pykanto.signal.segment

     
     
    [docs] def __init__(self, wav_dir: Path) -> None: self.wav_dir = wav_dir - """Location of wav file.""" + """Location of wav file.""" self._load_wav() self._load_metadata()
    def _load_wav(self) -> None: - """ + """ Opens a wav sound file. Raises: @@ -497,12 +491,12 @@

    Source code for pykanto.signal.segment

             self.nframes = self.wavfile.seek(0, sf.SEEK_END)
     
         def _load_metadata(self) -> None:
    -        """
    +        """
             Loads available metadata from wavfile; builds a AudioAnnotation object.
             """
     
             self.all_metadata = audiometa.load(self.wav_dir)
    -        """All available metadata for this audio clip."""
    +        """All available metadata for this audio clip."""
     
             self.metadata = AudioAnnotation(
                 sample_rate=self.wavfile.samplerate,
    @@ -510,10 +504,10 @@ 

    Source code for pykanto.signal.segment

                 length_s=self.nframes / self.wavfile.samplerate,
                 source_wav=self.wav_dir,
             )
    -        """Selected metadata to be used later"""
    +        """Selected metadata to be used later"""
     
     
    [docs] def get_wav(self) -> sf.SoundFile: - """ + """ Returns the wavfile. Returns: @@ -522,7 +516,7 @@

    Source code for pykanto.signal.segment

             return self.wavfile
    [docs] def get_metadata(self) -> AudioAnnotation: - """ + """ Returns metadata attached to wavfile as an AudioAnnotation object. Returns: @@ -531,7 +525,7 @@

    Source code for pykanto.signal.segment

             return self.metadata
    [docs] def as_dict(self) -> Dict[str, Any]: - """ + """ Returns metadata attached to wavfile as a dictionary. Returns: @@ -545,7 +539,7 @@

    Source code for pykanto.signal.segment

     
     
     
    [docs]class SegmentMetadata: - """ + """ Consolidates segment metadata in a single Metadata object, which can then be saved as a standard .JSON file. @@ -562,7 +556,7 @@

    Source code for pykanto.signal.segment

             sr: int,
             wav_out: Path,
         ) -> None:
    -        """
    +        """
             Consolidates segment metadata in a single Metadata object,
             which can then be saved as a standard .JSON file.
     
    @@ -580,10 +574,10 @@ 

    Source code for pykanto.signal.segment

             """
     
             self.all_metadata = metadata
    -        """Attribute containing all available metadata"""
    +        """Attribute containing all available metadata"""
     
             self.index: int = i
    -        """Index of 'focal' segment"""
    +        """Index of 'focal' segment"""
     
             self._build_metadata(metadata, audio_section, i, sr, wav_out)
    @@ -595,7 +589,7 @@

    Source code for pykanto.signal.segment

             sr: int,
             wav_out: Path,
         ) -> None:
    -        """
    +        """
             Consolidates segment metadata in a single dictionary,
             which can then be saved as a standard .JSON file.
     
    @@ -631,7 +625,7 @@ 

    Source code for pykanto.signal.segment

             self.index = i
     
     
    [docs] def get_metadata(self) -> Metadata: - """ + """ Get Metadata object. Returns: @@ -640,7 +634,7 @@

    Source code for pykanto.signal.segment

             return self.metadata
    [docs] def as_dict(self) -> Dict[str, Any]: - """ + """ Returns Metadata object as a dictionary. Returns: @@ -667,7 +661,7 @@

    Source code for pykanto.signal.segment

         ] = parse_sonic_visualiser_xml,
         **kwargs,
     ):
    -    """
    +    """
         Segments and saves audio segmets and their metadata from a single audio
         file, based on annotations provided in a separate 'metadata' file.
     
    @@ -705,7 +699,7 @@ 

    Source code for pykanto.signal.segment

         resample: int | None = 22050,
         **kwargs,
     ) -> None:
    -    """
    +    """
         Save segments present in a single wav file to new separate files along with
         their metadata.
     
    @@ -782,7 +776,7 @@ 

    Source code for pykanto.signal.segment

         min_amplitude: int = 0,
         labels_to_ignore: List[str] = ["NO", "NOISE"],
     ) -> bool:
    -    """
    +    """
         Checks whether a segment of index i within a dictionary is a valid segment.
     
         Args:
    @@ -833,7 +827,7 @@ 

    Source code for pykanto.signal.segment

         pbar: bool = True,
         **kwargs,
     ) -> None:
    -    """
    +    """
         Finds and saves audio segments and their metadata.
         Parallel version in :func:`~pykanto.signal.segment.segment_files_parallel`.
         Works well with large files (only reads one chunk at a time).
    @@ -888,7 +882,7 @@ 

    Source code for pykanto.signal.segment

         verbose: bool = True,
         **kwargs,
     ) -> None:
    -    """
    +    """
         Finds and saves audio segments and their metadata.
         Parallel version of :func:`~pykanto.signal.segment.segment_files`.
         Works well with large files (only reads one chunk at a time).
    @@ -960,7 +954,7 @@ 

    Source code for pykanto.signal.segment

         min_freqrange: int,
         ignore_labels: List[str] = ["FIRST", "first"],
     ) -> Dict[str, List[float]]:
    -    """
    +    """
         Get a summary of all segments present in a directory. Works for .xml files
             output by Sonic Visualiser.
     
    @@ -1027,7 +1021,7 @@ 

    Source code for pykanto.signal.segment

     
    [docs]def find_units( dataset: KantoData, spectrogram: np.ndarray ) -> Tuple[np.ndarray, np.ndarray] | tuple[None, None]: - """ + """ Segment a given spectrogram array into its units. For convenience, parameters are defined in a KantoData class instance (class Parameters). Based on Tim Sainburg's @@ -1088,7 +1082,7 @@

    Source code for pykanto.signal.segment

     
     
     
    [docs]def onsets_offsets(signal: np.ndarray) -> np.ndarray: - """ + """ Labels features in array as insets and offsets. Based on Tim Sainburg's `vocalseg <https://github.com/timsainb/vocalization-segmentation/>`_. @@ -1115,7 +1109,7 @@

    Source code for pykanto.signal.segment

     
    [docs]def segment_song_into_units( dataset: KantoData, key: str ) -> Tuple[str, np.ndarray, np.ndarray] | None: - """ + """ Find amplitude-differentiable units in a given vocalisation after applying a series of morphological transformations to reduce noise. @@ -1177,7 +1171,7 @@

    Source code for pykanto.signal.segment

     
    [docs]def segment_song_into_units_parallel( dataset: KantoData, keys: Iterable[str], **kwargs ) -> List[Tuple[str, np.ndarray, np.ndarray]]: - """See save_melspectrogram""" + """See save_melspectrogram""" # Calculate and make chunks n = len(keys) @@ -1213,7 +1207,7 @@

    Source code for pykanto.signal.segment

     
    [docs]def drop_zero_len_units( dataset: KantoData, onsets: np.ndarray, offsets: np.ndarray ) -> Tuple[np.ndarray, np.ndarray]: - """ + """ Removes onset/offset pairs which (under this dataset's spectrogram parameter combination) would result in a unit of length zero. diff --git a/docs/_build/html/_modules/pykanto/signal/spectrogram.html b/docs/_build/html/_modules/pykanto/signal/spectrogram.html index 7e8a799..a62e114 100644 --- a/docs/_build/html/_modules/pykanto/signal/spectrogram.html +++ b/docs/_build/html/_modules/pykanto/signal/spectrogram.html @@ -20,9 +20,8 @@ href="../../../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2"> - - - + + @@ -35,12 +34,7 @@ - - - - - - + @@ -439,7 +433,7 @@

    Source code for pykanto.signal.spectrogram

         dereverb: bool = True,
         bandpass: bool = True,
     ) -> Dict[str, Path]:
    -    """
    +    """
         Computes and saves a melspectrogram as a numpy array
         using dataset parameters.
     
    @@ -507,7 +501,7 @@ 

    Source code for pykanto.signal.spectrogram

     def _save_melspectrogram_r(
         dataset: KantoData, keys: List[str], **kwargs
     ) -> List[Dict[str, Path]]:
    -    """
    +    """
         Helper of :func:`~pykanto.signal.spectrogram._save_melspectrogram_parallel`.
         """
         return [save_melspectrogram(dataset, key, **kwargs) for key in keys]
    @@ -516,7 +510,7 @@ 

    Source code for pykanto.signal.spectrogram

     def _save_melspectrogram_parallel(
         dataset: KantoData, keys: List[str], **kwargs
     ) -> Dict[str, Path]:
    -    """
    +    """
         Parallel implementation of
         :func:`~pykanto.signal.spectrogram.save_melspectrogram`.
         """
    @@ -548,7 +542,7 @@ 

    Source code for pykanto.signal.spectrogram

     
     
     
    [docs]def retrieve_spectrogram(nparray_dir: Path) -> np.ndarray: - """ + """ Loads an spectrogram that was saved as a numpy array. Args: @@ -563,7 +557,7 @@

    Source code for pykanto.signal.spectrogram

     def _mask_melspec(
         dataset: KantoData, d_dict: Dict[str, Any], mel_spectrogram: np.ndarray
     ) -> np.ndarray:
    -    """
    +    """
         Private method. Frequency-mask 'bandpass' a melspectrogram using
         frequency bounds contained in a vocalisation's metadata.
     
    @@ -593,7 +587,7 @@ 

    Source code for pykanto.signal.spectrogram

     
     
    [docs]@njit def pad_spectrogram(spectrogram: np.ndarray, pad_length: int) -> np.ndarray: - """ + """ Centre pads a spectrogram to a given length. Args: @@ -616,7 +610,7 @@

    Source code for pykanto.signal.spectrogram

     def crop_spectrogram(
         spectrogram: np.ndarray, crop_x: int = 0, crop_y: int = 0
     ) -> np.ndarray:
    -    """
    +    """
         Centre crops an spectrogram to given dimensions.
     
         Args:
    @@ -636,7 +630,7 @@ 

    Source code for pykanto.signal.spectrogram

     
     
    [docs]@njit def cut_or_pad_spectrogram(spectrogram: np.ndarray, length: int) -> np.ndarray: - """ + """ Cut or pad a spectrogram to be a given length. Args: @@ -662,7 +656,7 @@

    Source code for pykanto.signal.spectrogram

         sr: int = 22050,
         hop_length: int = 512,
     ) -> np.ndarray:
    -    """
    +    """
         Get an array containing spectrograms for every unit in a given song.
     
         Args:
    @@ -690,7 +684,7 @@ 

    Source code for pykanto.signal.spectrogram

     
    [docs]def get_vocalisation_units( dataset: KantoData, key: str, song_level: bool = False ) -> Dict[str, np.ndarray | List[np.ndarray]]: - """ + """ Returns spectrogram representations of the units present in a vocalisation (e.g. in a song) or their average. @@ -743,7 +737,7 @@

    Source code for pykanto.signal.spectrogram

         pad: bool = True,
         song_level: bool = False,
     ) -> Dict[str, Path]:
    -    """
    +    """
         Returns a spectrogram representations of the units or the average of
         the units present in the vocalisations of an ID in the dataset.
         Saves the data as pickled dictionary, returns its location.
    @@ -797,7 +791,7 @@ 

    Source code for pykanto.signal.spectrogram

         song_level: bool = False,
         num_cpus: float | None = None,
     ) -> Dict[str, Dict[str, Path]]:
    -    """
    +    """
         Parallel implementation of
         :func:`~pykanto.signal.spectrogram.get_indv_units`.
         """
    @@ -850,7 +844,7 @@ 

    Source code for pykanto.signal.spectrogram

     
     
    [docs]@njit def window(spectrogram: np.ndarray, wlength: int) -> Iterator[np.ndarray]: - """ + """ Extract windows of length 'wlength' from a spectrogram. Jitted. Args: @@ -874,7 +868,7 @@

    Source code for pykanto.signal.spectrogram

     def extract_windows(
         spectrograms: numba.typed.List[np.ndarray], wlength: int
     ) -> Tuple[numba.typed.List[np.ndarray], List[int]]:
    -    """
    +    """
         Extract windows from multiple spectrograms. Jitted.
     
         Args:
    @@ -898,7 +892,7 @@ 

    Source code for pykanto.signal.spectrogram

     def flatten_spectrograms(
         windows: numba.typed.List[np.ndarray],
     ) -> numba.typed.List[np.ndarray]:
    -    """
    +    """
         Return a numba typed list containing the 2d array collapsed into one
         dimension. Jitted.
     
    diff --git a/docs/_build/html/_modules/pykanto/utils/compute.html b/docs/_build/html/_modules/pykanto/utils/compute.html
    index c118bcd..328780d 100644
    --- a/docs/_build/html/_modules/pykanto/utils/compute.html
    +++ b/docs/_build/html/_modules/pykanto/utils/compute.html
    @@ -20,9 +20,8 @@
         href="../../../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2">
     
         
    -    
    -    
    -    
    +    
    +    
         
         
         
    @@ -35,12 +34,7 @@
         
         
         
    -    
    -    
    -    
    -    
    -    
    -    
    +    
         
         
         
    @@ -427,7 +421,7 @@ 

    Source code for pykanto.utils.compute

     
     
     
    [docs]def to_iterator(obj_ids, breaks: bool = True): - """ + """ Use ray paralell with a progress bar. Modified from https://git.io/JMv6r. """ @@ -447,7 +441,7 @@

    Source code for pykanto.utils.compute

     
    [docs]def with_pbar( iterable: Iterable[Any], desc: str | None = None, **kwargs ) -> tqdm: - """ + """ Returns a custom progress bar. This is just a wrapper around tqdm. Args: @@ -463,7 +457,7 @@

    Source code for pykanto.utils.compute

     
     
     
  • You can run pykanto-slaunch --help in your terminal to see which arguments you can pass to pykanto-slaunch.

    A sumbission command will look something like this:

    -
     pykanto-slaunch --exp BigBird2020 --p short --time 00:30:00 -n 1 --memory 40000 --gpu 1 --c "python 0.0_build-dataset.py"
    +
     pykanto-slaunch --exp BigBird2020 --p short --time 00:30:00 -n 1 --memory 40000 --gpu 1 --c "python 0.0_build-dataset.py"
     

    This will create a bash (.sh) file and a log (.log) file in a /logs folder within the directory from which you are calling the script.

    diff --git a/docs/_build/html/contents/installation.html b/docs/_build/html/contents/installation.html index cb14832..b6fc294 100644 --- a/docs/_build/html/contents/installation.html +++ b/docs/_build/html/contents/installation.html @@ -21,9 +21,8 @@ href="../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2"> - - - + + @@ -36,12 +35,7 @@ - - - - - - + @@ -506,7 +500,7 @@

    Installing pyka

    Basic installation#

    To install pykanto using pip, run:

    -
    @@ -559,9 +553,9 @@

    Developer installationIf you want to contribute to the project, you can install it in editable mode along with the development dependencies such as pytest, nox or sphinx, necessary for testing and generating the documentation.

    -
    git clone https://github.com/nilomr/pykanto.git
    -cd pykanto
    -pip install -e '.[dev, test, doc]'
    +
    git clone https://github.com/nilomr/pykanto.git
    +cd pykanto
    +pip install -e '.[dev, test, doc]'
     
    diff --git a/docs/_build/html/contents/interactive-app.html b/docs/_build/html/contents/interactive-app.html index a15afc7..cb9fb73 100644 --- a/docs/_build/html/contents/interactive-app.html +++ b/docs/_build/html/contents/interactive-app.html @@ -21,9 +21,8 @@ href="../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2"> - - - + + @@ -36,12 +35,7 @@ - - - - - - + diff --git a/docs/_build/html/contents/kantodata-dataset.html b/docs/_build/html/contents/kantodata-dataset.html index 9c6e43c..7d54aa1 100644 --- a/docs/_build/html/contents/kantodata-dataset.html +++ b/docs/_build/html/contents/kantodata-dataset.html @@ -21,9 +21,8 @@ href="../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2"> - - - + + @@ -36,12 +35,10 @@ - - - - - - + + + + @@ -634,12 +631,18 @@

    Common operations with datasets +
    + + +Hide code cell source +
    print("Vocalisation durations: ",[f"{x:.2f}" for x in last_offsets[:5]])
     print("IOIs: ", [f"{x:.2f}" for x in iois[0][:5]])
     
    +
    +

    If mkdir is set to True, the directories will be created if they don’t already exist. +This is the resulting directory tree, assuming that your raw data folder is +called raw.

    +
    📁 project
    +├── 📁 data
    +│   ├── 📁 datasets
    +│   │   └── 📁 <DATASET_ID>
    +│   │       ├── <DATASET_ID>.db
    +│   │       └── 📁 spectrograms
    +|   ├── 📁 raw
    +│   │   └── 📁 <DATASET_ID>  
    +│   └── 📁 segmented
    +│       └── 📁 <lowercase name of RAW_DATA>
    +├── 📁 resources
    +├── 📁 reports
    +│   └── 📁 figures
    +└── <other project files>
    +
    +
    +

    Note: If you are starting with a dataset that has already been +segmented, you can simply pass the path to the segmented data folder instead to +the RAW_DATA argument of ProjDirs.

    See the ProjDirs docs for more information.
    diff --git a/docs/_build/html/contents/segmenting-files.html b/docs/_build/html/contents/segmenting-files.html index 4ff4aa3..626e7cf 100644 --- a/docs/_build/html/contents/segmenting-files.html +++ b/docs/_build/html/contents/segmenting-files.html @@ -21,9 +21,8 @@ href="../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2"> - - - + + @@ -36,13 +35,8 @@ - - - - - - - + + @@ -529,6 +523,11 @@

    Segmenting files using existing <

    This requires folder(s) of audio files containing .xml files with onset, offset and frequency information for each segment of interest.

    +
    + + +Hide code cell content +
    from pathlib import Path
     import pkg_resources
    @@ -538,6 +537,7 @@ 

    Segmenting files using existing <

    +
    @@ -590,6 +590,11 @@

    Segmenting files with custom metadata fields +
    + + +Hide code cell content +
    import datetime as dt
     import re
    @@ -606,6 +611,7 @@ 

    Segmenting files with custom metadata fieldsReadWav object from a file and print its metadata, like so:

    @@ -620,6 +626,11 @@

    Segmenting files with custom metadata fields + + +Hide code cell outputs +
    <WAVE({
         'filepath': '/home/nilomr/projects/pykanto/pykanto/data/raw/AM/20210502_040000.WAV',
    @@ -644,6 +655,7 @@ 

    Segmenting files with custom metadata fieldspykanto that we want to add these to the .JSON files and, later, to our database.

    diff --git a/docs/_build/html/contents/segmenting-vocalisations.html b/docs/_build/html/contents/segmenting-vocalisations.html index cd4849c..2ba5c18 100644 --- a/docs/_build/html/contents/segmenting-vocalisations.html +++ b/docs/_build/html/contents/segmenting-vocalisations.html @@ -21,9 +21,8 @@ href="../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2"> - - - + + @@ -36,13 +35,8 @@ - - - - - - - + + @@ -496,6 +490,11 @@

    Segmenting vocalisations into units +
    + + +Hide code cell content +

    You can check any vocalisation in the newly created dataset by using the plot method:

    @@ -564,7 +570,7 @@

    Segmenting vocalisations into units -../_images/57339ad7f43d8fab520c1607c6ff98cd2c2007800198be31b22fb73f6ea628ef.png +../_images/5b46234493a475570de8ac0a5081aa1e6789b6a3f608e68177bf9498a214c160.png

    Finally, to segment the vocalisations into units, we do the following:

    @@ -575,7 +581,7 @@

    Segmenting vocalisations into units -

    If you want to access the onsets or offsets manually, simply get them from the dataset:

    -
    print(f"First 10 note onset times: \n{dataset.data.loc[key, 'onsets'][:10]}")
    +
    print(f"First 10 note onset times: \n{dataset.data.loc[key, 'onsets'][:10]}")
     
    diff --git a/docs/_build/html/genindex.html b/docs/_build/html/genindex.html index 7d66c9d..a6319a5 100644 --- a/docs/_build/html/genindex.html +++ b/docs/_build/html/genindex.html @@ -20,9 +20,8 @@ href="_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2"> - - - + + @@ -35,12 +34,7 @@ - - - - - - + @@ -532,18 +526,26 @@

    C

    D

  • spec_centroid_bandwidth() (in module pykanto.signal.analysis) +
  • +
  • SPECTROGRAMS (pykanto.utils.paths.ProjDirs attribute)
  • sr (pykanto.parameters.Parameters attribute)
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