Core

class oceanai.modules.core.core.CoreMessages(lang: str = 'ru', color_simple: str = '#666', color_info: str = '#1776D2', color_err: str = '#FF0000', color_true: str = '#008001', bold_text: bool = True, text_runtime: str = '', num_to_df_display: int = 30)[source]

Bases: Settings

Class for messages

Parameters:
class oceanai.modules.core.core.Core(lang: str = 'ru', color_simple: str = '#666', color_info: str = '#1776D2', color_err: str = '#FF0000', color_true: str = '#008001', bold_text: bool = True, text_runtime: str = '', num_to_df_display: int = 30)[source]

Bases: CoreMessages

Core class of modules

Parameters:
__is_notebook() → bool

Determining how to run a library in Jupyter or similar

Note

private method

Returns:

True if the library is run in Jupyter or similar, otherwise False

Return type:

bool

Examples

True – 1 –

In [1]:
1from oceanai.modules.core.core import Core
2
3core = Core()
4core._Core__is_notebook()
[1]:
1True

– 2 –

In [2]:
1from oceanai.modules.core.core import Core
2
3Core._Core__is_notebook()
[2]:
1True
_add_last_el_notebook_history_output(message: str) → None[source]

Adding text to the latest message from the message output history in a Jupyter cell

Note

protected method

Parameters:

message (str) – Message

Returns:

None

Return type:

None

Example

True – 1 –

In [1]:
 1from oceanai.modules.core.core import Core
 2
 3core = Core(lang = 'en')
 4
 5core._add_last_el_notebook_history_output(message = '...')
 6
 7core._add_notebook_history_output(
 8    message = 'Message 1', last = False
 9)
10core._add_last_el_notebook_history_output(message = '...')
11
12core.show_notebook_history_output()
[1]:
1...
2Message 1 ...
_add_notebook_history_output(message: str, last: bool = False) → None[source]

Adding message output history to Jupyter cell

Note

protected method

Parameters:

  • message (str) – Message

  • last (bool) – Replacing the last message

Returns:

None

Return type:

None

Examples

True – 1 –

In [1]:
 1from oceanai.modules.core.core import Core
 2
 3core = Core(lang = 'en')
 4
 5core._add_notebook_history_output(
 6    message = 'Message 1', last = False
 7)
 8core._add_notebook_history_output(
 9    message = 'Message 2', last = False
10)
11core._add_notebook_history_output(
12    message = 'Replacing the last message', last = True
13)
14
15core.show_notebook_history_output()
[1]:
1Message 1
2Replacing the last message

– 2 –

In [2]:
 1from oceanai.modules.core.core import Core
 2
 3core = Core(lang = 'en')
 4
 5for message, last in zip(
 6    [
 7        'Message 1',
 8        'Message 2',
 9        'Replacing the last message'
10    ],
11    [False, False, True]
12):
13    core._add_notebook_history_output(
14        message = message, last = last
15    )
16
17core.show_notebook_history_output()
[2]:
1Message 1
2Replacing the last message
_append_to_list_of_accuracy(preds: List[float | None], out: bool = True) → bool[source]

Adding values to the dictionary for a DataFrame with precision results

Note

protected method

Parameters:

  • preds (List[Optional[float]]) – Personality traits scores

  • out (bool) – Display

Returns:

True if values have been added to the dictionary for the DataFrame, otherwise False

Return type:

bool

Examples

True – 1 –

In [1]:
 1from oceanai.modules.core.core import Core
 2
 3core = Core()
 4
 5core.keys_dataset_ = ['O', 'C', 'E', 'A', 'N']
 6
 7core._append_to_list_of_accuracy(
 8    preds = [0.5, 0.6, 0.2, 0.1, 0.8],
 9    out = True
10)
11
12core._append_to_list_of_accuracy(
13    preds = [0.4, 0.5, 0.1, 0, 0.7],
14    out = True
15)
16
17core.dict_of_accuracy_
[1]:
1{
2    'O': [0.5, 0.4],
3    'C': [0.6, 0.5],
4    'E': [0.2, 0.1],
5    'A': [0.1, 0],
6    'N': [0.8, 0.7]
7}

Error – 1 –

In [2]:
 1from oceanai.modules.core.core import Core
 2
 3core = Core()
 4
 5core.keys_dataset_ = ['O', 'C', 'E', 'A', 'N']
 6
 7core._append_to_list_of_accuracy(
 8    preds = [0.5, 0.6, 0.2, 0.1, 0.8],
 9    out = True
10)
11
12core.keys_dataset_ = ['O2', 'C2', 'E2', 'A2', 'N2']
13
14core._append_to_list_of_accuracy(
15    preds = [0.4, 0.5, 0.1, 0, 0.7],
16    out = True
17)
18
19core.dict_of_accuracy_

– 2 –

[2]:
 1[2024-10-06 18:49:44] Что-то пошло не так ... смотрите настройки ядра и цепочку выполнения действий ...
 2
 3    Файл: /Users/dl/@DmitryRyumin/Python/envs/OCEANAI/lib/python3.9/site-packages/oceanai/modules/core/core.py
 4    Линия: 3300
 5    Метод: _append_to_list_of_accuracy
 6    Тип ошибки: KeyError
 7
 8{
 9    'O': [0.5],
10    'C': [0.6],
11    'E': [0.2],
12    'A': [0.1],
13    'N': [0.8]
14}
_append_to_list_of_files(path: str, preds: List[float | None], out: bool = True) → bool[source]

Adding values to a dictionary for a DataFrame with data

Note

protected method

Parameters:

  • path (str) – The path to the file

  • preds (List[Optional[float]]) – Personality traits scores

  • out (bool) – Display

Returns:

True if values have been added to the dictionary for the DataFrame, otherwise False

Return type:

bool

Examples

True – 1 –

In [1]:
 1from oceanai.modules.core.core import Core
 2
 3core = Core()
 4
 5core.keys_dataset_ = ['P', 'O', 'C', 'E', 'A', 'N']
 6
 7core._append_to_list_of_files(
 8    path = './6V807Mf_gHM.003.mp4',
 9    preds = [0.5, 0.6, 0.2, 0.1, 0.8],
10    out = True
11)
12
13core._append_to_list_of_files(
14    path = './6V807Mf_gHM.004.mp4',
15    preds = [0.4, 0.5, 0.1, 0, 0.7],
16    out = True
17)
18
19core.dict_of_files_
[1]:
1{
2    'P': ['./6V807Mf_gHM.003.mp4', './6V807Mf_gHM.004.mp4'],
3    'O': [0.5, 0.4],
4    'C': [0.6, 0.5],
5    'E': [0.2, 0.1],
6    'A': [0.1, 0],
7    'N': [0.8, 0.7]
8}

Error – 1 –

In [2]:
 1from oceanai.modules.core.core import Core
 2
 3core = Core(lang = 'en')
 4
 5core.keys_dataset_ = ['P', 'O', 'C', 'E', 'A', 'N']
 6
 7core._append_to_list_of_files(
 8    path = './6V807Mf_gHM.003.mp4',
 9    preds = [0.5, 0.6, 0.2, 0.1, 0.8],
10    out = True
11)
12
13core.keys_dataset_ = ['P2', 'O2', 'C2', 'E2', 'A2', 'N2']
14
15core._append_to_list_of_files(
16    path = './6V807Mf_gHM.004.mp4',
17    preds = [0.4, 0.5, 0.1, 0, 0.7],
18    out = True
19)
20
21core.dict_of_files_

– 2 –

[2]:
 1[2024-10-06 18:53:43] Что-то пошло не так ... смотрите настройки ядра и цепочку выполнения действий ...
 2
 3    Файл: /Users/dl/@DmitryRyumin/Python/envs/OCEANAI/lib/python3.9/site-packages/oceanai/modules/core/core.py
 4    Линия: 3177
 5    Метод: _append_to_list_of_files
 6    Тип ошибки: KeyError
 7
 8{
 9    'P': ['./6V807Mf_gHM.003.mp4'],
10    'O': [0.5],
11    'C': [0.6],
12    'E': [0.2],
13    'A': [0.1],
14    'N': [0.8]
15}
_bold_wrapper(message: str) → str[source]

Wrapped message with bold text

Note

protected method

Parameters:

message (str) – Message

Returns:

Wrapped message with bold text

Return type:

str

Example

True – 1 –

In [1]:
 1from oceanai.modules.core.core import Core
 2
 3core = Core(lang = 'en', bold_text = False)
 4print(core._bold_wrapper(
 5    'Wrapped message without bold text'
 6))
 7
 8core.bold_text = True
 9print(core._bold_wrapper(
10    'Wrapped message with bold text'
11))
[1]:
1<span style="color:#FF0000">Wrapped message without bold text</span>
2<span style="color:#FF4545">Wrapped message with bold text</span>
_candidate_ranking(df_files: DataFrame | None = None, weigths_openness: int = 0, weigths_conscientiousness: int = 0, weigths_extraversion: int = 0, weigths_agreeableness: int = 0, weigths_non_neuroticism: int = 0, out: bool = True) → DataFrame[source]

Ranking candidates by professional responsibilities

Note

protected method

Parameters:

  • df_files (pd.DataFrame) – DataFrame with data

  • weigths_openness (int) – Weight for ranking personality trait (openness)

  • weigths_conscientiousness (int) – Weight for ranking personality trait (conscientiousness)

  • weigths_extraversion (int) – Weight for ranking personality trait (extraversion)

  • weigths_agreeableness (int) – Weight for ranking personality trait (agreeableness)

  • weigths_non_neuroticism (int) – Weight for ranking personality trait (non-neuroticism)

  • out (bool) – Display

Returns:

DataFrame with ranking data

Return type:

pd.DataFrame

Examples

True – 1 –

In [1]:
 1import pandas as pd
 2from oceanai.modules.core.core import Core
 3
 4df = pd.DataFrame({
 5    "Path": [
 6    "_plk5k7PBEg.003.mp4",
 7    "2d6btbaNdfo.000.mp4",
 8    "300gK3CnzW0.001.mp4"
 9    ],
10    "Openness": [0.581159, 0.463991, 0.60707],
11    "Conscientiousness": [0.628822, 0.418851, 0.591893],
12    "Extraversion": [0.466609, 0.41301, 0.520662],
13    "Agreeableness": [0.622129, 0.493329, 0.603938],
14    "Non-Neuroticism": [0.553832, 0.423093, 0.565726]
15})
16
17core = Core()
18
19core._candidate_ranking(df, 20, 25, 10, 10, 35)
[1]:
1PersonID        Path    Openness        Conscientiousness       Extraversion    Agreeableness   Non-Neuroticism Candidate score
23       300gK3CnzW0.001.mp4     0.607070        0.591893        0.520662        0.603938        0.565726        57.985135
31       _plk5k7PBEg.003.mp4     0.581159        0.628822        0.466609        0.622129        0.553832        57.615230
42       2d6btbaNdfo.000.mp4     0.463991        0.418851        0.413010        0.493329        0.423093        43.622740

Error – 1 –

In [3]:
 1import pandas as pd
 2from oceanai.modules.core.core import Core
 3
 4df = pd.DataFrame({
 5    "Path": [
 6        "_plk5k7PBEg.003.mp4",
 7        "2d6btbaNdfo.000.mp4",
 8        "300gK3CnzW0.001.mp4"
 9    ],
10    "Openness": [0.581159, 0.463991, 0.60707],
11    "Conscientiousness": [0.628822, 0.418851, 0.591893],
12    "Extraversion": [0.466609, 0.41301, 0.520662],
13    "Agreeableness": [0.622129, 0.493329, 0.603938],
14    "Non-Neuroticism": [0.553832, 0.423093, 0.565726]
15})
16
17core = Core()
18
19core._candidate_ranking(df, 0, 0, 0, 0,0)
[3]:
1[2024-10-06 20:28:22] Что-то пошло не так ... сумма весов для ранжирования персональных качеств должна быть равна 100 ...
2
3    Файл: /Users/dl/@DmitryRyumin/Python/envs/OCEANAI/lib/python3.9/site-packages/oceanai/modules/core/core.py
4    Линия: 3597
5    Метод: _candidate_ranking
6    Тип ошибки: TypeError
_clear_notebook_history_output() → None[source]

Clearing message output history in a Jupyter cell

Note

protected method

Returns:

None

Return type:

None

Example

True – 1 –

In [1]:
 1from oceanai.modules.core.core import Core
 2
 3core = Core(lang = 'en')
 4
 5core._add_notebook_history_output(
 6    message = 'Message 1', last = False
 7)
 8core._add_notebook_history_output(
 9    message = 'Message 2', last = False
10)
11
12core._clear_notebook_history_output()
13
14core.show_notebook_history_output()
[1]:
1
_colleague_personality_desorders(df_files: DataFrame | None = None, correlation_coefficients_mbti: DataFrame | None = None, correlation_coefficients_disorders: DataFrame | None = None, personality_desorder_number: int = 3, col_name_ocean: str = 'Trait', threshold: float = 0.55, out: bool = True) → DataFrame[source]

Определение степени выраженности персональных растройств по версии MBTI

Note

protected method

Parameters:

  • df_files (pd.DataFrame) – DataFrame with data

  • correlation_coefficients_mbti (pd.DataFrame) – DataFrame c коэффициентами корреляции для MBTI

  • correlation_coefficients_disorders (pd.DataFrame) – DataFrame c коэффициентами корреляции для расстройств

  • target_scores (List[float]) – List with the names of personality traits scores

  • personality_desorder_number (int) – Количество расстройств для демонстрации

  • threshold (float) – Threshold for scores of traits polarity (e.g., introvert < 0.55, extrovert > 0.55)

  • out (bool) – Display

  • col_name_ocean (str)

Returns:

DataFrame c вероятностью выраженности персональных растройств

Return type:

pd.DataFrame

_colleague_personality_type_match(df_files: DataFrame | None = None, correlation_coefficients: DataFrame | None = None, target_scores: List[float] = [0.47, 0.63, 0.35, 0.58, 0.51], col_name_ocean: str = 'Trait', threshold: float = 0.55, out: bool = True) → DataFrame[source]

Поиск коллег по совместимости персональных типов по версии MBTI

Note

protected method

Parameters:

  • df_files (pd.DataFrame) – DataFrame with data

  • correlation_coefficients (pd.DataFrame) – DataFrame with correlation coefficients

  • target_scores (List[float]) – List with the names of personality traits scores

  • threshold (float) – Threshold for scores of traits polarity (e.g., introvert < 0.55, extrovert > 0.55)

  • out (bool) – Display

  • col_name_ocean (str)

Returns:

DataFrame c совместимостью коллег по персональным типам по версии MBTI

Return type:

pd.DataFrame

_colleague_ranking(df_files: DataFrame | None = None, correlation_coefficients: DataFrame | None = None, target_scores: List[float] = [0.47, 0.63, 0.35, 0.58, 0.51], colleague: str = 'major', equal_coefficients: float = 0.5, out: bool = True) → DataFrame[source]

Finding a suitable colleague

Note

protected method

Parameters:

  • df_files (pd.DataFrame) – DataFrame with data

  • correlation_coefficients (pd.DataFrame) – DataFrame with correlation coefficients

  • target_scores (List[float]) – List with the names of personality traits scores

  • colleague (str) – Rank of compatibility colleague

  • equal_coefficients (float) – Coefficient applied to scores in case of equality of scores of two people

  • out (bool) – Display

Returns:

DataFrame with ranked colleagues

Return type:

pd.DataFrame

_compatibility_percentage(type1: str, type2: str, weights: list) → tuple[float, float][source]

Вычисление процента совместимости и оценки на основе сравнения двух типов

Note

protected method

Parameters:

  • type1 (str) – Первый тип, который необходимо сравнить

  • type2 (str) – Второй тип для сравнения с первым

  • weights (list) – Список весов, где каждый элемент соответствует значению в type1 и type2

Returns:

  • match_percentage (float): Процент совместимости, рассчитываемый как отношение совпадающих элементов к общему числу

  • weighted_score (float): Взвешенная оценка совместимости, рассчитанная на основе совпадающих элементов и их весов

Return type:

tuple

Example

True – 1 –

In [1]:
1from oceanai.modules.core.core import Core
2
3core = Core()
4
5type1 = [1, 2, 3, 4]
6type2 = [1, 2, 0, 4]
7weights = [0.5, 1.0, 1.5, 2.0]
8
9core._compatibility_percentage(type1, type2, weights)
[1]:
1(75.0, 2.625)
_create_folder_for_logs(out: bool = True)[source]

Creating a directory for saving LOG files

Note

protected method

Parameters:

out (bool) – Display

Returns:

True if the directory is created or exists, otherwise False

Return type:

bool

Example

True – 1 –

In [1]:
1from oceanai.modules.core.core import Core
2
3core = Core()
4
5core.path_to_logs_ = './logs'
6
7core._create_folder_for_logs(out = True)
[1]:
1true
_del_last_el_notebook_history_output() → None[source]

Removing the last message from the message output history in a Jupyter cell

Note

protected method

Returns:

None

Return type:

None

Example

True – 1 –

In [1]:
 1from oceanai.modules.core.core import Core
 2
 3core = Core(lang = 'en')
 4
 5core._add_notebook_history_output(
 6    message = 'Message 1', last = False
 7)
 8core._add_notebook_history_output(
 9    message = 'Message 2', last = False
10)
11
12core._del_last_el_notebook_history_output()
13
14core.show_notebook_history_output()
[1]:
1Message 1
_error(message: str, last: bool = False, out: bool = True) → None[source]

Error message

Note

protected method

Parameters:

  • message (str) – Message

  • last (bool) – Replacing the last message

  • out (bool) – Display

Returns:

None

Return type:

None

Examples

True – 1 –

In [1]:
 1from oceanai.modules.core.core import Core
 2
 3core = Core(lang = 'en')
 4
 5core._error(
 6    message = 'Error message 1',
 7    last = False, out = True
 8)
 9
10core.color_simple_ = '#FFF'
11core.color_err_ = 'FF0000'
12core.bold_text_ = False
13
14core._error(
15    message = 'Error message 2',
16    last = True, out = True
17)
[1]:
1[2022-10-12 15:21:00] Error message 1
2[2022-10-12 15:21:00] Error message 2

Error – 1 –

In [2]:
1from oceanai.modules.core.core import Core
2
3core = Core(lang = 'en')
4
5core._error(
6    message = '',
7    last = False, out = True
8)
[2]:
1[2022-10-12 17:06:04] Invalid argument types or values in "Core._error" ...
_error_wrapper(message: str) → str[source]

Wrapped error message

Note

protected method

Parameters:

message (str) – Message

Returns:

Wrapped error message

Return type:

str

Example

True – 1 –

In [1]:
 1from oceanai.modules.core.core import Core
 2
 3core = Core(lang = 'en')
 4print(core._error_wrapper(
 5    'Wrapped error message 1'
 6))
 7
 8core.color_err_ = '#FF4545'
 9print(core._error_wrapper(
10    'Wrapped error message 2'
11))
[1]:
1<span style="color:#FF0000">Wrapped error message 1</span>
2<span style="color:#FF4545">Wrapped error message 2</span>
_get_paths(path: Iterable, depth: int = 1, out: bool = True) → List[str] | bool[source]

Getting directories where data is stored

Note

protected method

Parameters:

  • path (Iterable) – Dataset directory

  • depth (int) – Hierarchy depth for class extraction

  • out (bool) – Display

Returns:

False if the argument check fails or a list of directories

Return type:

Union[List[str], bool]

Examples

True – 1 –

In [1]:
1core = Core()
2core._get_paths(
3    path = '/Users/dl/GitHub/oceanai/oceanai/dataset',
4    depth = 1, out = True
5)
[1]:
1[
2    '/Users/dl/GitHub/oceanai/oceanai/dataset/test80_01',
3    '/Users/dl/GitHub/oceanai/oceanai/dataset/1',
4    '/Users/dl/GitHub/oceanai/oceanai/dataset/test80_17'
5]

Errors – 1 –

In [2]:
1from oceanai.modules.core.core import Core
2
3core = Core(lang = 'en')
4core._get_paths(
5    path = '',
6    depth = 1, out = True
7)
[2]:
1[2022-10-12 16:36:16] Invalid argument types or values in "Core._get_paths" ...
2False

– 2 –

In [3]:
1from oceanai.modules.core.core import Core
2
3core = Core(lang = 'en')
4core._get_paths(
5    path = '/Users/dl/GitHub/oceanai/oceanai/folder',
6    depth = 1, out = True
7)
[3]:
1[2024-10-06 21:01:44] Что-то пошло не так ... директория "/Users/dl/GitHub/oceanai/oceanai/folder" не найдена ...
2
3    Файл: /Users/dl/@DmitryRyumin/Python/envs/OCEANAI/lib/python3.9/site-packages/oceanai/modules/core/core.py
4    Линия: 2964
5    Метод: _get_paths
6    Тип ошибки: FileNotFoundError
7
8False
_info(message: str, last: bool = False, out: bool = True) → None[source]

Announcement

Note

protected method

Parameters:

  • message (str) – Message

  • last (bool) – Replacing the last message

  • out (bool) – Display

Returns:

None

Return type:

None

Examples

True – 1 –

In [1]:
 1from oceanai.modules.core.core import Core
 2
 3core = Core(lang = 'en')
 4
 5core._info(
 6    message = 'Announcement 1',
 7    last = False, out = True
 8)
 9
10core.color_simple_ = '#FFF'
11core.color_info_ = '#0B45B9'
12core.bold_text_ = False
13
14core._info(
15    message = 'Announcement 2',
16    last = True, out = True
17)
[1]:
1[2022-10-14 11:35:00] Announcement 1
2[2022-10-14 11:35:00] Announcement 2

Error – 1 –

In [2]:
1from oceanai.modules.core.core import Core
2
3core = Core(lang = 'en')
4
5core._info(
6    message = '',
7    last = False, out = True
8)
[2]:
1[2022-10-14 11:43:00] Invalid argument types or values in "Core._info" ...
_info_true(message: str, last: bool = False, out: bool = True) → None[source]

True information

Note

protected method

Parameters:

  • message (str) – Message

  • last (bool) – Replacing the last message

  • out (bool) – Display

Returns:

None

Return type:

None

Examples

True – 1 –

In [1]:
 1from oceanai.modules.core.core import Core
 2
 3core = Core(lang = 'en')
 4
 5core._info_true(
 6    message = 'Informational true message 1',
 7    last = False, out = True
 8)
 9
10core.color_true_ = '#008001'
11core.bold_text_ = False
12
13core._info_true(
14    message = 'Informational true message 2',
15    last = True, out = True
16)
[1]:
1Informational true message 1
2
3Informational true message 2

Error – 1 –

In [2]:
1from oceanai.modules.core.core import Core
2
3core = Core(lang = 'en')
4
5core._info_true(
6    message = '',
7    last = False, out = True
8)
[2]:
1[2022-10-22 16:46:56] Invalid argument types or values in "Core._info_true" ...
_info_wrapper(message: str) → str[source]

Wrapped announcement

Note

protected method

Parameters:

message (str) – Message

Returns:

Wrapped announcement

Return type:

str

Example

True – 1 –

In [1]:
1from oceanai.modules.core.core import Core
2
3core = Core(lang = 'en')
4print(core._info_wrapper('Wrapped announcement 1'))
5
6core.color_info_ = '#0B45B9'
7print(core._info_wrapper('Wrapped announcement 2'))
[1]:
1<span style="color:#1776D2">Wrapped announcement 1</span>
2<span style="color:#0B45B9">Wrapped announcement 2</span>
_inv_args(class_name: str, build_name: str, last: bool = False, out: bool = True) → None[source]

Message about specifying invalid argument types

Note

protected method

Parameters:

  • class_name (str) – Class name

  • build_name (str) – Function method/name

  • last (bool) – Replacing the last message

  • out (bool) – Display

Returns:

None

Return type:

None

Examples

True – 1 –

In [1]:
1from oceanai.modules.core.core import Core
2
3core = Core(lang = 'en')
4core._inv_args(
5    Core.__name__, core._info.__name__,
6    last = False, out = True
7)
[1]:
1[2022-10-14 11:58:04] Invalid argument types or values in "Core._info" ...

Error – 1 –

In [2]:
1from oceanai.modules.core.core import Core
2
3core = Core(lang = 'en')
4core._inv_args(1, '', last = False, out = True)
[2]:
1[2022-10-14 11:58:04] Invalid argument types or values in "Core._inv_args" ...
_metadata_info(last: bool = False, out: bool = True) → None[source]

Library Information

Note

protected method

Parameters:

  • last (bool) – Replacing the last message

  • out (bool) – Display

Returns:

None

Return type:

None

Examples

True – 1 –

In [1]:
1from oceanai.modules.core.core import Core
2
3core = Core(lang = 'en')
4core._metadata_info(last = False, out = True)
[1]:
 1[2022-10-14 13:05:54] oceanai - персональные качества личности человека:
 2    Авторы:
 3        Рюмина Елена [ryumina_ev@mail.ru]
 4        Рюмин Дмитрий [dl_03.03.1991@mail.ru]
 5        Карпов Алексей [karpov@iias.spb.su]
 6    Сопровождающие:
 7        Рюмина Елена [ryumina_ev@mail.ru]
 8        Рюмин Дмитрий [dl_03.03.1991@mail.ru]
 9    Версия: 1.0.0a37
10    Лицензия: BSD License

Better not to do that – 1 –

In [2]:
1from oceanai.modules.core.core import Core
2
3core = Core(lang = 'en')
4core._metadata_info(last = 1, out = [])
[2]:
 1[2022-10-14 13:05:54] oceanai - персональные качества личности человека:
 2    Авторы:
 3        Рюмина Елена [ryumina_ev@mail.ru]
 4        Рюмин Дмитрий [dl_03.03.1991@mail.ru]
 5        Карпов Алексей [karpov@iias.spb.su]
 6    Сопровождающие:
 7        Рюмина Елена [ryumina_ev@mail.ru]
 8        Рюмин Дмитрий [dl_03.03.1991@mail.ru]
 9    Версия: 1.0.0a37
10    Лицензия: BSD License
_notebook_display_markdown(message: str, last: bool = False, out: bool = True) → None[source]

Message display

Note

protected method

Parameters:

  • message (str) – Message

  • last (bool) – Replacing the last message

  • out (bool) – Display

Returns:

None

Return type:

None

Examples

True – 1 –

In [1]:
1from oceanai.modules.core.core import Core
2
3core = Core(lang = 'en')
4core._notebook_display_markdown('Message')
[1]:
1Message

Error – 1 –

In [2]:
1from oceanai.modules.core.core import Core
2
3core = Core(lang = 'en')
4core._notebook_display_markdown(1)
[2]:
1[2022-10-14 15:52:03] Invalid argument types or values in "Core._notebook_display_markdown" ...
_other_error(message: str, last: bool = False, out: bool = True) → None[source]

Other error message

Note

protected method

Parameters:

  • message (str) – Message

  • last (bool) – Replacing the last message

  • out (bool) – Display

Returns:

None

Return type:

None

Examples

True – 1 –

In [1]:
 1from oceanai.modules.core.core import Core
 2
 3core = Core(lang = 'en')
 4
 5try: raise Exception
 6except:
 7    core._other_error(
 8        message = 'Other error message 1',
 9        last = False, out = True
10    )
11
12core.color_simple_ = '#FFF'
13core.color_err_ = 'FF0000'
14core.bold_text_ = False
15
16try: raise Exception
17except:
18    core._other_error(
19        message = 'Other error message 2',
20        last = True, out = True
21    )
[1]:
 1[2024-10-06 21:09:43] Сообщение об ошибке 1
 2
 3    Файл: /var/folders/gw/w3k5kxtx0s3_nqdqw94zr8yh0000gn/T/ipykernel_3613/1171760106.py
 4    Линия: 5
 5    Метод: 1171760106.py
 6    Тип ошибки: Exception
 7
 8[2024-10-06 21:09:43] Сообщение об ошибке 2
 9
10    Файл: /var/folders/gw/w3k5kxtx0s3_nqdqw94zr8yh0000gn/T/ipykernel_3613/1171760106.py
11    Линия: 16
12    Метод: 1171760106.py
13    Тип ошибки: Exception

Error – 1 –

In [2]:
 1from oceanai.modules.core.core import Core
 2
 3core = Core(lang = 'en')
 4
 5try: raise Exception
 6except:
 7    core._other_error(
 8        message = '',
 9        last = False, out = True
10    )
[2]:
1[2022-10-14 16:25:11] Invalid argument types or values in "Core._other_error" ...
_priority_calculation(df_files: DataFrame | None = None, correlation_coefficients: DataFrame | None = None, col_name_ocean: str = 'Trait', threshold: float = 0.55, number_priority: int = 1, number_importance_traits: int = 1, out: bool = True) → DataFrame[source]

Ranking preferences

Note

protected method

Parameters:

  • df_files (pd.DataFrame) – DataFrame with data

  • correlation_coefficients (pd.DataFrame) – DataFrame with correlation coefficients

  • col_name_ocean (str) – Column with the names of personality traits

  • threshold (float) – Threshold for scores of traits polarity (e.g., introvert < 0.55, extrovert > 0.55)

  • number_priority (int) – Number of priority preferences

  • number_importance_traits (int) – Number of the most important personality traits

  • out (bool) – Display

Returns:

DataFrame with ranked priority

Return type:

pd.DataFrame

_priority_skill_calculation(df_files: DataFrame | None = None, correlation_coefficients: DataFrame | None = None, threshold: float = 0.55, out: bool = True) → DataFrame[source]

Ranking candidates by professional skills

Note

protected method

Parameters:

  • df_files (pd.DataFrame) – DataFrame with data

  • correlation_coefficients (pd.DataFrame) – DataFrame with correlation coefficients

  • threshold (float) – Threshold for scores of traits polarity (e.g., introvert < 0.55, extrovert > 0.55)

  • out (bool) – Display

Returns:

DataFrame with ranked candidates

Return type:

pd.DataFrame

_professional_match(df_files: DataFrame | None = None, personality_type: str | None = None, correlation_coefficients: DataFrame | None = None, col_name_ocean: str = 'Trait', threshold: float = 0.55, out: bool = True) → DataFrame[source]

Ранжирование кандидатов по одному из шестнадцати персональных типов по версии MBTI

Note

protected method

Parameters:

  • df_files (pd.DataFrame) – DataFrame with data

  • personality_type (str) – Персональный тип по версии MBTI

  • threshold (float) – Threshold for scores of traits polarity (e.g., introvert < 0.55, extrovert > 0.55)

  • out (bool) – Display

  • correlation_coefficients (DataFrame | None)

  • col_name_ocean (str)

Returns:

DataFrame with ranked candidates

Return type:

pd.DataFrame

_progressbar(message: str, progress: str, clear_out: bool = True, last: bool = False, out: bool = True) → None[source]

Progressbar

Note

protected method

Parameters:

  • message (str) – Message

  • progress (str) – Progressbar

  • clear_out (bool) – Clearing the output area

  • last (bool) – Replacing the last message

  • out (bool) – Display

Returns:

None

Return type:

None

Examples

True – 1 –

In [1]:
 1from oceanai.modules.core.core import Core
 2
 3core = Core(lang = 'en')
 4
 5for cnt in range(1, 4):
 6    core._progressbar(
 7        message = 'Action cycle',
 8        progress = 'Iteration ' + str(cnt),
 9        clear_out = False,
10        last = False, out = True
11    )
[1]:
 1[2022-10-14 16:52:20] Action cycle
 2
 3    Iteration 1
 4
 5[2022-10-14 16:52:20] Action cycle
 6
 7    Iteration 2
 8
 9[2022-10-14 16:52:20] Action cycle
10
11    Iteration 3

– 2 –

In [2]:
 1from oceanai.modules.core.core import Core
 2
 3core = Core(lang = 'en')
 4
 5for cnt in range(1, 4):
 6    core._progressbar(
 7        message = 'Action cycle',
 8        progress = 'Iteration ' + str(cnt),
 9        clear_out = True,
10        last = True, out = True
11    )
[2]:
1[2022-10-14 16:52:20] Action cycle
2
3    Iteration 3

Error – 1 –

In [3]:
 1from oceanai.modules.core.core import Core
 2
 3core = Core(lang = 'en')
 4
 5for cnt in range(1, 4):
 6    core._progressbar(
 7        message = 1,
 8        progress = 2,
 9        clear_out = True,
10        last = False, out = True
11    )
[3]:
1[2022-10-14 16:52:38] Invalid argument types or values in "Core._progressbar" ...
_progressbar_union_predictions(message: str, item: int, info: str, len_paths: int, clear_out: bool = True, last: bool = False, out: bool = True) → None[source]

Progressbar for getting scores by audio

Note

private method

Parameters:

  • message (str) – Message

  • item (int) – Number video file

  • info (str) – Local path

  • len_paths (int) – Number of video files

  • clear_out (bool) – Clearing the output area

  • last (bool) – Replacing the last message

  • out (bool) – Display

Returns:

None

Return type:

None

Examples

True – 1 –

In [1]:
 1from oceanai.modules.core.core import Core
 2
 3core = Core(lang = 'en')
 4
 5l = range(1, 4, 1)
 6
 7for progress in l:
 8    core._progressbar_union_predictions(
 9        message = 'Action cycle',
10        item = progress,
11        info = 'The path to the file',
12        len_paths = len(l),
13        clear_out = False,
14        last = False, out = True
15    )
[1]:
 1[2022-10-20 16:51:49] Action cycle
 2
 3    1 из 3 (33.33%) ... The path to the file ...
 4
 5[2022-10-20 16:51:49] Action cycle
 6
 7    2 из 3 (66.67%) ... The path to the file ...
 8
 9[2022-10-20 16:51:49] Action cycle
10
11    3 из 3 (100.0%) ... The path to the file ...

– 2 –

In [2]:
 1from oceanai.modules.core.core import Core
 2
 3core = Core(lang = 'en')
 4
 5l = range(1, 4, 1)
 6
 7for progress in l:
 8    core._progressbar_union_predictions(
 9        message = 'Action cycle',
10        item = progress,
11        info = 'The path to the file',
12        len_paths = len(l),
13        clear_out = True,
14        last = True, out = True
15    )
[2]:
1[2022-10-20 16:51:55] Action cycle
2
3    3 из 3 (100.0%) ... The path to the file ...

Error – 1 –

In [3]:
 1from oceanai.modules.core.core import Core
 2
 3core = Core(lang = 'en')
 4
 5l = range(1, 4, 1)
 6
 7for progress in l:
 8    core._progressbar_union_predictions(
 9        message = 1,
10        item = progress,
11        info = 'The path to the file',
12        len_paths = len(l),
13        clear_out = True,
14        last = False, out = True
15    )
[3]:
1[2024-10-06 21:13:03] Неверные типы или значения аргументов в "Core._progressbar_union_predictions" ...
_r_end(last: bool = False, out: bool = True) → None[source]

End of runtime countdown

Note

protected method

Hint

Works in conjunction with _r_start()

Parameters:

  • last (bool) – Replacing the last message

  • out (bool) – Display

Returns:

None

Return type:

None

Examples

True – 1 –

In [1]:
1from oceanai.modules.core.core import Core
2
3core = Core(lang = 'en')
4
5core._r_start()
6for cnt in range(0, 10000000): res = cnt * 2
7core._r_end()
[1]:
1--- Runtime: 0.819 sec. ---

Error – 1 –

In [1]:
1from oceanai.modules.core.core import Core
2
3core = Core(lang = 'en')
4
5for cnt in range(0, 10000000): res = cnt * 2
6core._r_end()
[1]:
1--- Runtime: 1665756222.704 сек. ---
_r_start() → None[source]

Start time countdown

Note

protected method

Hint

Works in conjunction with _r_end()

Returns:

None

Return type:

None

Examples

True – 1 –

In [1]:
1from oceanai.modules.core.core import Core
2
3core = Core(lang = 'en')
4
5core._r_start()
6for cnt in range(0, 10000000): res = cnt * 2
7core._r_end()
[1]:
1--- Runtime: 0.819 sec. ---

Error – 1 –

In [1]:
1from oceanai.modules.core.core import Core
2
3core = Core(lang = 'en')
4
5for cnt in range(0, 10000000): res = cnt * 2
6core._r_end()
[1]:
1--- Runtime: 1665756222.704 сек. ---
_round_math(val: int | float, out: bool = True) → int | bool[source]

Rounding numbers according to mathematical law

Note

protected method

Parameters:

  • val (Union[int, float]) – Number to round

  • out (bool) – Display

Returns:

Rounded number if no errors found, False otherwise

Return type:

Union[int, bool]

Examples

True – 1 –

In [1]:
1from oceanai.modules.core.core import Core
2
3core = Core()
4
5core._round_math(4.5)
[1]:
15

– 2 –

In [1]:
1from oceanai.modules.core.core import Core
2
3core = Core()
4
5core._round_math(-2.5)
[1]:
1-3

Error – 1 –

In [3]:
1from oceanai.modules.core.core import Core
2
3core = Core(lang = 'en')
4
5core._round_math('')
[3]:
1[2022-11-03 15:52:30] Invalid argument types or values in "Core._round_math" ...
2
3False
_save_logs(df: DataFrame, name: str, out: bool = True) → bool[source]

Saving the LOG file

Note

protected method

Parameters:

  • df (pd.DataFrame) – DataFrame to be saved to LOG file

  • name (str) – LOG filename

  • out (bool) – Display

Returns:

True if the LOG file is saved, otherwise False

Return type:

bool

Example

True – 1 –

In [1]:
 1import pandas as pd
 2from oceanai.modules.core.core import Core
 3
 4df = pd.DataFrame.from_dict(
 5    data = {'Test': [1, 2, 3]}
 6)
 7
 8core = Core(lang = 'en')
 9
10core.path_to_logs_ = './logs'
11
12core._save_logs(
13    df = df, name = 'test', out = True
14)
[1]:
1True
_search_file(path_to_file: str, ext: str, create: bool = False, out: bool = True) → bool[source]

File Search

Note

protected method

Parameters:

  • path_to_file (str) – The path to the file

  • ext (str) – File extension

  • create (bool) – Creating a file in case of its absence

  • out (bool) – Print the execution process

Returns:

True if the file is found, otherwise False

Return type:

bool

_stat_acoustic_features(last: bool = False, out: bool = True, **kwargs: int | Tuple[int]) → None[source]

Message with statistics of extracted features from an acoustic signal

Note

protected method

Parameters:

  • last (bool) – Replacing the last message

  • out (bool) – Display

  • **kwargs (Union[int, Tuple[int]]) – Additional named arguments

Returns:

None

Return type:

None

Examples

True – 1 –

In [1]:
 1from oceanai.modules.core.core import Core
 2
 3core = Core(
 4    lang = 'en',
 5    color_simple = '#FFF',
 6    color_info = '#1776D2',
 7    bold_text = True,
 8)
 9
10core._stat_acoustic_features(
11    last = False, out = True,
12    len_hc_features = 12,
13    len_melspectrogram_features = 12,
14    shape_hc_features = [196, 25],
15    shape_melspectrogram_features = [224, 224, 3],
16)
[1]:
1[2022-10-14 17:59:20] Statistics of the features extracted from the acoustic signal:
2    Total number of segments with:
3        1. expert features: 12
4        2. mel-spectrogram log: 12
5    Dimension of the matrix of expert features of one segment: 196 ✕ 25
6    Tensor dimension with log chalk spectrograms of one segment: 224 ✕ 224 ✕ 3

Error – 1 –

In [2]:
 1from oceanai.modules.core.core import Core
 2
 3core = Core(
 4    lang = 'en',
 5    color_simple = '#FFF',
 6    color_info = '#1776D2',
 7    bold_text = True,
 8)
 9
10core._stat_acoustic_features(
11    last = False, out = True
12)
[2]:
1[2022-10-14 17:59:21] Invalid argument types or values in "Core._stat_acoustic_features" ...
_stat_text_features(last: bool = False, out: bool = True, **kwargs: int | Tuple[int]) → None[source]

Message with statistics of extracted features from a text

Note

protected method

Parameters:

  • last (bool) – Replacing the last message

  • out (bool) – Display

  • **kwargs (Union[int, Tuple[int]]) – Additional named arguments

Returns:

None

Return type:

None

_stat_visual_features(last: bool = False, out: bool = True, **kwargs: int | Tuple[int]) → None[source]

Message with statistics of extracted features from a visual signal

Note

protected method

Parameters:

  • last (bool) – Replacing the last message

  • out (bool) – Display

  • **kwargs (Union[int, Tuple[int]]) – Additional named arguments

Returns:

None

Return type:

None

Examples

True – 1 –

In [1]:
 1from oceanai.modules.core.core import Core
 2
 3core = Core(
 4    lang = 'en',
 5    color_simple = '#FFF',
 6    color_info = '#1776D2',
 7    bold_text = True,
 8)
 9
10core._stat_visual_features(
11    last = False, out = True,
12    len_hc_features = 23,
13    len_nn_features = 23,
14    shape_hc_features = [10, 115],
15    shape_nn_features = [10, 512],
16    fps_before = 30,
17    fps_after = 10
18)
[1]:
1[2022-11-03 16:18:40] Statistics of extracted features from visual signal:
2    Total number of segments since:
3        1. expert features: 23
4        2. eural network features: 23
5    Dimension of the matrix of expert features of one segment: 10 ✕ 115
6    Dimension of a tensor with neural network features of one segment: 10 ✕ 512
7    FPS down: with 30 to 10

Error – 1 –

In [2]:
 1from oceanai.modules.core.core import Core
 2
 3core = Core(
 4    lang = 'en',
 5    color_simple = '#FFF',
 6    color_info = '#1776D2',
 7    bold_text = True,
 8)
 9
10core._stat_visual_features(
11    last = False, out = True
12)
[2]:
1[2022-11-03 16:19:35] Invalid argument types or values in "Core._stat_visual_features" ...
static _traceback() → Dict[source]

Exception trace

Note

protected method

Returns:

Dictionary describing the exception

Return type:

Dict

Example

True – 1 –

In [1]:
1import pprint
2from oceanai.modules.core.core import Core
3
4core = Core()
5
6try: raise Exception
7except:
8    pp = pprint.PrettyPrinter(compact = True)
9    pp.pprint(core._traceback())
[1]:
1{
2    'filename': '/var/folders/gw/w3k5kxtx0s3_nqdqw94zr8yh0000gn/T/ipykernel_3613/3289675153.py',
3    'lineno': 6,
4    'name': '<module>',
5    'type': 'Exception'
6}
property df_accuracy_: DataFrame

Getting a DataFrame with precision calculation results

Returns:

DataFrame with precision calculation results

Return type:

pd.DataFrame

Example

True – 1 –

In [1]:
1from oceanai.modules.core.core import Core
2
3core = Core()
4len(core.df_accuracy_)
[1]:
10
property df_files_: DataFrame

Getting a DataFrame with data

Returns:

DataFrame with data

Return type:

pd.DataFrame

Example

True – 1 –

In [1]:
1from oceanai.modules.core.core import Core
2
3core = Core()
4len(core.df_files_)
[1]:
10
property df_files_MBTI_colleague_match_: DataFrame

Получение DataFrame c ранжированными коллегами на основе MBTI

Returns:

DataFrame with data

Return type:

pd.DataFrame

property df_files_MBTI_disorders_: DataFrame

Получение DataFrame c ранжированными профессиональными расстройствами на основе MBTI

Returns:

DataFrame with data

Return type:

pd.DataFrame

property df_files_MBTI_job_match_: DataFrame

Получение DataFrame c ранжированными кандидатами на основе MBTI

Returns:

DataFrame with data

Return type:

pd.DataFrame

property df_files_colleague_: DataFrame

Getting a DataFrame with ranked colleagues based on data

Returns:

DataFrame with data

Return type:

pd.DataFrame

property df_files_priority_: DataFrame

Getting a DataFrame with ranked priority based on the data

Returns:

DataFrame with data

Return type:

pd.DataFrame

Example

True – 1 –

In [1]:
1from oceanai.modules.core.core import Core
2
3core = Core(lang = 'en')
4len(core.df_files_priority_)
[1]:
10
property df_files_priority_skill_: DataFrame

Getting a DataFrame with ranked colleagues based on data

Returns:

DataFrame with data

Return type:

pd.DataFrame

property df_files_ranking_: DataFrame

Getting a DataFrame with ranked data

Returns:

DataFrame with data

Return type:

pd.DataFrame

Example

True – 1 –

In [1]:
1from oceanai.modules.core.core import Core
2
3core = Core(lang = 'en')
4
5core._round_math('')
[1]:
10
property df_pkgs_: DataFrame

Getting a DataFrame with versions of installed libraries

Returns:

DataFrame with versions of installed libraries

Return type:

pd.DataFrame

Example

True – 1 –

In [1]:
1from oceanai.modules.core.core import Core
2
3core = Core()
4core.libs_vers(out = False, runtime = True, run = True)
5core.df_pkgs_
[1]:
 1|----|---------------|--------------|
 2|    | Package       | Version      |
 3|----|---------------|--------------|
 4| 1  | OpenCV        | 4.10.0       |
 5| 2  | MediaPipe     | 0.10.14      |
 6| 3  | NumPy         | 1.23.5       |
 7| 4  | SciPy         | 1.13.1       |
 8| 5  | Pandas        | 2.2.3        |
 9| 6  | Scikit-learn  | 1.5.2        |
10| 7  | OpenSmile     | 2.5.0        |
11| 8  | Librosa       | 0.10.2.post1 |
12| 9  | AudioRead     | 3.0.1        |
13| 10 | IPython       | 8.18.1       |
14| 11 | Requests      | 2.32.3       |
15| 12 | JupyterLab    | 4.2.5        |
16| 13 | LIWC          | 0.5.0        |
17| 14 | Transformers  | 4.45.1       |
18| 15 | Sentencepiece | 0.2.0        |
19| 16 | Torch         | 2.2.2        |
20| 17 | Torchaudio    | 2.2.2        |
21|----|---------------|--------------|
property dict_of_accuracy_: Dict[str, List[int | float]]

Getting a dictionary for a DataFrame with precision results

Hint

Based on this dictionary, a DataFrame is formed with the data df_accuracy_

Returns:

Dictionary for DataFrame with precision results

Return type:

Dict[str, List[Union[int, float]]]

Example

True – 1 –

In [1]:
1from oceanai.modules.core.core import Core
2
3core = Core()
4len(core.dict_of_accuracy_)
[1]:
10
property dict_of_files_: Dict[str, List[int | str | float]]

Getting a dictionary for a DataFrame with data

Hint

Based on this dictionary, a DataFrame is formed with the data df_files_

Returns:

Dictionary for DataFrame with data

Return type:

Dict[str, List[Union[int, str, float]]]

Example

True – 1 –

In [1]:
1from oceanai.modules.core.core import Core
2
3core = Core()
4len(core.dict_of_files_)
[1]:
10
property is_notebook_: bool

Getting the result of a library run definition in Jupyter or similar

Returns:

True if the library is run in Jupyter or similar, otherwise False

Return type:

bool

Example

True – 1 –

In [1]:
1from oceanai.modules.core.core import Core
2
3core = Core()
4print(core.is_notebook_)
[1]:
1True
libs_vers(out: bool = True, runtime: bool = True, run: bool = True) → None[source]

Getting and Displaying Versions of Installed Libraries

Parameters:

  • out (bool) – Display

  • runtime (bool) – Run runtime

  • run (bool) – Run blocking

Returns:

None

Return type:

None

Examples

True – 1 –

In [1]:
1from oceanai.modules.core.core import Core
2
3core = Core(lang = 'en')
4core.libs_vers(out = True, runtime = True, run = True)
[1]:
 1|----|---------------|--------------|
 2|    | Package       | Version      |
 3|----|---------------|--------------|
 4| 1  | OpenCV        | 4.10.0       |
 5| 2  | MediaPipe     | 0.10.14      |
 6| 3  | NumPy         | 1.23.5       |
 7| 4  | SciPy         | 1.13.1       |
 8| 5  | Pandas        | 2.2.3        |
 9| 6  | Scikit-learn  | 1.5.2        |
10| 7  | OpenSmile     | 2.5.0        |
11| 8  | Librosa       | 0.10.2.post1 |
12| 9  | AudioRead     | 3.0.1        |
13| 10 | IPython       | 8.18.1       |
14| 11 | Requests      | 2.32.3       |
15| 12 | JupyterLab    | 4.2.5        |
16| 13 | LIWC          | 0.5.0        |
17| 14 | Transformers  | 4.45.1       |
18| 15 | Sentencepiece | 0.2.0        |
19| 16 | Torch         | 2.2.2        |
20| 17 | Torchaudio    | 2.2.2        |
21| 18 | Torchvision   | 0.17.2       |
22|----|---------------|--------------|
23--- Время выполнения: 0.005 сек. ---

– 2 –

In [2]:
1from oceanai.modules.core.core import Core
2
3core = Core(lang = 'en')
4core.libs_vers(out = True, runtime = True, run = False)
[2]:
1[2022-10-15 18:17:27] Run blocked by user ...

Error – 1 –

In [3]:
1from oceanai.modules.core.core import Core
2
3core = Core(lang = 'en')
4core.libs_vers(out = True, runtime = True, run = 1)
[3]:
1[2022-10-15 18:18:51] Invalid argument types or values in "Core.libs_vers" ...
property runtime_

Getting runtime

Returns:

Runtime

Return type:

Union[int, float]

Examples

True – 1 –

In [1]:
1from oceanai.modules.core.core import Core
2
3core = Core()
4
5core._r_start()
6for cnt in range(0, 10000000): res = cnt * 2
7core._r_end(out = False)
8
9print(core.runtime_)
[1]:
10.838

Error – 1 –

In [2]:
1from oceanai.modules.core.core import Core
2
3core = Core()
4
5print(core.runtime_)
[2]:
1-1

– 2 –

In [3]:
1from oceanai.modules.core.core import Core
2
3core = Core()
4
5core._r_start()
6for cnt in range(0, 10000000): res = cnt * 2
7
8print(core.runtime_)
[3]:
1-1
show_notebook_history_output() → None[source]

Display message output history in a Jupyter cell

Returns:

None

Return type:

None

Example

True – 1 –

In [1]:
1from oceanai.modules.core.core import Core
2
3core = Core(lang = 'en')
4core._info(
5    message = 'Announcement',
6    last = False, out = False
7)
8
9core.show_notebook_history_output()
[1]:
1[2022-10-15 18:27:46] Announcement
property true_traits_: Dict[str, str]

Getting paths to ground truth scores for calculating accuracy

Returns:

Dictionary with paths to ground truth scores for calculating accuracy

Return type:

Dict

Example

True – 1 –

In [1]:
1from oceanai.modules.core.core import Core
2
3core = Core()
4core.true_traits_
[1]:
 1{
 2    'fi': {
 3            'sberdisk': 'https://download.sberdisk.ru/download/file/478675810?token=anU8umMha1GiWPQ&filename=data_true_traits_fi.csv',
 4            'googledisk': 'https://drive.usercontent.google.com/download?id=1O5dliseCG-MOPEjriASge3iXxqyc7dgX&export=download&authuser=2&confirm=t&uuid=d7821fcd-0692-4f26-95b2-dd1a6af81657&at=AO7h07dS-gJaqtjsbSpyLloAV1Wv:1727196204665'
 5    },
 6    'mupta': {
 7            'sberdisk': 'https://download.sberdisk.ru/download/file/478675811?token=hUMsrUSKjSRrV5e&filename=data_true_traits_mupta.csv',
 8            'googledisk': 'https://drive.usercontent.google.com/download?id=1s-2UhVFRaSZmTmqa3ztGPnaL_9dWFUlz&export=download&authuser=2&confirm=t&uuid=ef16d01d-40d9-4d30-a3c9-382eb4569f5a&at=AO7h07c4dLmma0g29tJXsrh2jLMF:1727196324559'
 9    }
10}
property weights_for_big5_: Dict[str, Dict]

Obtaining weights for neural network architectures

Returns:

Dictionary with weights for neural network architectures

Return type:

Dict

Example

True – 1 –

In [1]:
1from oceanai.modules.core.core import Core
2
3core = Core(lang = 'en')
4core.weights_for_big5_
[1]:
  1{
  2    'audio': {
  3            'fi': {
  4                'hc': {
  5                        'googledisk': 'https://drive.usercontent.google.com/download?id=11EeWmEzjBM2uVpDv1JTNlUPoUmYTc4ar&export=download&authuser=2&confirm=t&uuid=583e76db-450a-4bb7-b0ae-b454acb08613&at=AO7h07dsgtllWrkR2jZ0kRzdDHfc:1727270957484'
  6                },
  7                'nn': {
  8                        'googledisk': 'https://drive.usercontent.google.com/download?id=1GQLVdYs0XhPYI-Hn7rYw2-LpOuWgBBzx&export=download&authuser=2&confirm=t&uuid=c82c6516-7da7-45c3-8705-2727a6c6ffb8&at=AO7h07ceFDOtg7sMb5Gdi2Mzqe_K:1727288160810'
  9                },
 10                'b5': {
 11                        'openness': {
 12                            'googledisk': 'https://drive.usercontent.google.com/download?id=1RDQ_EyKv-GLEMUvs3w9o1cThClMjPQud&export=download&authuser=2&confirm=t&uuid=9c24908a-46dd-4772-bb37-5f2d5b1ceae3&at=AN_67v21iOtcNefAGCFlefTPqYGz:1727290092037'
 13                        },
 14                        'conscientiousness': {
 15                            'googledisk': 'https://drive.usercontent.google.com/download?id=18M0kCW6Q9oD4B-JFRaECEL05U1FUShDB&export=download&authuser=2&confirm=t&uuid=e582c3c5-5dbc-4955-895c-3e52414a2a97&at=AN_67v1_K1HQXbRfwLnjbJbfgh6k:1727289934706'
 16                        },
 17                        'extraversion': {
 18                            'googledisk': 'https://drive.usercontent.google.com/download?id=1qi2YVf25Bs5QfPfXlXXEO8x5hXu--WcA&export=download&authuser=2&confirm=t&uuid=6bdf3546-4672-46ef-b7fc-95d36105f5a1&at=AN_67v015u8YFSwjMXh9ygO5mtk_:1727289973929'
 19                        },
 20                        'agreeableness': {
 21                            'googledisk': 'https://drive.usercontent.google.com/download?id=1glPO999kk7As81F-tc1-jpq1fbNeUQgA&export=download&authuser=2&confirm=t&uuid=0cc2d044-3616-4864-a2dc-8faac4151959&at=AN_67v24uko_8JufEMR3YyLS2fkQ:1727290023217'
 22                        },
 23                        'non_neuroticism': {
 24                            'googledisk': 'https://drive.usercontent.google.com/download?id=1Y89jPj_4vVfyBtE43gP16vyaateKP2Bb&export=download&authuser=2&confirm=t&uuid=bdea116a-d166-475c-8257-6482ad6391a9&at=AN_67v2rMxyCAy8hhgvFtWR751Wq:1727290055424'
 25                        }
 26                }
 27            },
 28            'mupta': {
 29                'hc': {
 30                        'googledisk': 'https://drive.usercontent.google.com/download?id=151ISGwKvuPnKLvObeU9CS-2AsWV98cwI&export=download&authuser=2&confirm=t&uuid=0f2b7770-fdea-4434-b522-b9df66a92b5d&at=AO7h07epzz7_6h7alDMVoJspjyhz:1727271012853'
 31                },
 32                'nn': {
 33                        'googledisk': 'https://drive.usercontent.google.com/download?id=1ePwbNYottjpNW2Ehi45C8O2fm_H6HuXh&export=download&authuser=2&confirm=t&uuid=d7ece633-385c-4511-a4f0-58cdb9e02fe2&at=AO7h07e6sjR3UG7bTOaGEz5OUOT3:1727288215449'
 34                }
 35            }
 36    },
 37    'video': {
 38            'fi': {
 39                'hc': {
 40                        'googledisk': 'https://drive.usercontent.google.com/download?id=1Ug9b-vvnU9BQtyahlfj7no3CVSf2MUMB&export=download&authuser=2&confirm=t&uuid=5f135650-15b8-4ad0-9af4-68521a731c0a&at=AO7h07dLs9A6Jwf_4uJWAOysU4_y:1727105753033'
 41                },
 42                'nn': {
 43                        'googledisk': 'https://drive.usercontent.google.com/download?id=1QF7ReDQXpCciF7aWjbEt4Q-x06hwDrMZ&export=download&authuser=2&confirm=t&uuid=c2fd5a21-7af7-4b7f-8419-d7d628847768&at=AO7h07eilj-Bm5RIk0HwQBEr37ri:1727175670133'
 44                },
 45                'fe': {
 46                        'googledisk': 'https://drive.usercontent.google.com/download?id=1SOuDY_JGlu5vV26zz_zNjpYZOu751A3Y&export=download&authuser=2&confirm=t&uuid=4cec3ead-89af-45ce-9437-0b1eed463fdc&at=AO7h07cBxO6cNzloq6LmFdhUenNy:1727174252392'
 47                },
 48                'b5': {
 49                        'openness': {
 50                            'googledisk': 'https://drive.usercontent.google.com/download?id=1vnpHymFLm3pXeYoyTjGasrIvzz-xzKO3&export=download&authuser=2&confirm=t&uuid=a6e4bb96-53bf-4d4b-9a38-978665a51792&at=AO7h07eQ5SN8TN9gRdAGQZ5yh0im:1727181613809'
 51                        },
 52                        'conscientiousness': {
 53                            'googledisk': 'https://drive.usercontent.google.com/download?id=1HQrLYQBkRiNbKUoD9BpyelF6GQJcjLid&export=download&authuser=2&confirm=t&uuid=049a1f8d-87e2-4c49-800b-f7e7d9ac58c4&at=AO7h07e3Cpm8-4BVOsWcSEs9vhf9:1727181922083'
 54                        },
 55                        'extraversion': {
 56                            'googledisk': 'https://drive.usercontent.google.com/download?id=1xDowylrNjMQfnJk4KJkYNLoaK-33XKI0&export=download&authuser=2&confirm=t&uuid=88491cad-46ec-41c2-ae28-2b180e597fee&at=AO7h07fjaflK_FwdhLXBHH42uUXY:1727181953043'
 57                        },
 58                        'agreeableness': {
 59                            'googledisk': 'https://drive.usercontent.google.com/download?id=1AfRF1j5M_XkZRDaG6NjMz26iJV3tAmFi&export=download&authuser=2&confirm=t&uuid=443dc2d7-1c51-4418-b4fa-19dbbb17d624&at=AO7h07di_ajVQCpEcXb_XqU6ak2I:1727181988356'
 60                        },
 61                        'non_neuroticism': {
 62                            'googledisk': 'https://drive.usercontent.google.com/download?id=1qB1iRbuTKLqKm-CH96rEBgabj-AnllIt&export=download&authuser=2&confirm=t&uuid=0a087c9a-4df6-408f-80cd-ef1f20390ce2&at=AO7h07dwQThSoBctwDwDDPfqre9T:1727182020902'
 63                        }
 64                }
 65            },
 66            'mupta': {
 67                'hc': {
 68                        'googledisk': 'https://drive.usercontent.google.com/download?id=1Ybz6X5hNl3JCmZCpuLnLdzWY_W7Gnf5J&export=download&authuser=2&confirm=t&uuid=6dbd07bb-b9f6-40e8-88b2-d5adb34076c3&at=AO7h07eLQrKFVFfTFmiq7tYK2KZX:1727185527591'
 69                },
 70                'nn': {
 71                        'googledisk': 'https://drive.usercontent.google.com/download?id=1gbRUh-4AYf8-4OpXj17gAv3SfmpCqv1V&export=download&authuser=2&confirm=t&uuid=9784f923-994e-4e27-8c82-82d603d5f1c5&at=AO7h07euCb37HT_H8rq9w_H4FdR-:1727185473779'
 72                },
 73                'fe': {
 74                        'googledisk': 'https://drive.usercontent.google.com/download?id=1SOuDY_JGlu5vV26zz_zNjpYZOu751A3Y&export=download&authuser=2&confirm=t&uuid=4cec3ead-89af-45ce-9437-0b1eed463fdc&at=AO7h07cBxO6cNzloq6LmFdhUenNy:1727174252392'
 75                }
 76            }
 77    },
 78    'text': {
 79            'fi': {
 80                'hc':
 81                        'googledisk': 'https://drive.usercontent.google.com/download?id=1QwHyCCgitWKuDPKxhylaD4aZJYuTEOF1&export=download&authuser=2&confirm=t&uuid=8ac05c03-b0b7-4898-bf02-14841a904111&at=AN_67v1y3k_bXdYkrUGxTQOwRUP0:1727456663203'
 82                },
 83                'nn': {
 84                        'googledisk': 'https://drive.usercontent.google.com/download?id=1pbnumZzDSw9WifZUNhdvfY8azZAatapb&export=download&authuser=2&confirm=t&uuid=fad1e6b8-fe6e-4c61-bdcd-35164a4659f2&at=AN_67v1gjCWAv8ebAU1Q5EvTte7b:1727456849254'
 85                },
 86                'b5': {
 87                        'googledisk': 'https://drive.usercontent.google.com/download?id=16gw0AfZxPkZZgLXq2dvl2K809SYsxMUm&export=download&authuser=2&confirm=t&uuid=17138780-3b94-4cef-b80d-4fda11f7137e&at=AN_67v1kXjIJrQkgOcoY9fxfRhG9:1727456761067'
 88                }
 89            },
 90            'mupta': {
 91                'hc': {
 92                        'googledisk': 'https://drive.usercontent.google.com/download?id=11qDQPLOfoIkm6woMpHc2aZn2Pd6WP2Yp&export=download&authuser=2&confirm=t&uuid=869a2f77-70b2-4440-9e27-5c08e4b06e68&at=AN_67v09IFO8WjgKVGN7cZVW2bWK:1727456887637'
 93                },
 94                'nn': {
 95                        'googledisk': 'https://drive.usercontent.google.com/download?id=1dyH4lqajNS7LOwNqcfj3YktxlJrbLSXf&export=download&authuser=2&confirm=t&uuid=f69981d0-9852-4e0e-8d49-91b55dae3da0&at=AN_67v1nGyJJ427XWPLc3ISlZxbx:1727456802847'
 96                },
 97                'b5': {
 98                        'googledisk': 'https://drive.usercontent.google.com/download?id=1ZZqOdLdaH9IgZyHP8ko4nZ1SHTnF66dl&export=download&authuser=2&confirm=t&uuid=76bb23e4-42d2-4b12-befc-a5e72045fcb0&at=AN_67v3JssIUaLVilcAsJjXnjBdu:1727456716440'
 99                }
100            }
101    },
102    'av': {
103            'fi': {
104                'b5': {
105                        'openness': {
106                            'googledisk': 'https://drive.usercontent.google.com/download?id=1XfpJewfYQ9Ge_CFkI15yaR42ezMRJmgV&export=download&authuser=2&confirm=t&uuid=a5dbbdeb-6459-4542-8c3c-2757c24b8cd6&at=AN_67v34zt7FGMCrrsTtNhSEVJ_M:1727615612517'
107                        },
108                        'conscientiousness': {
109                            'googledisk': 'https://drive.usercontent.google.com/download?id=1cnNIWbAh9mm6YGN4IMax_3GNIWS5UJd1&export=download&authuser=2&confirm=t&uuid=aa6e7365-e39b-4aa7-89e5-04391a825e74&at=AN_67v25YKChbofCWOTQaIIZ0lOQ:1727615643757'
110                        },
111                        'extraversion': {
112                            'googledisk': 'https://drive.usercontent.google.com/download?id=1xdEnwPaY0Gbonv9irx4jBbtCiMFmlzJ3&export=download&authuser=2&confirm=t&uuid=e427c375-46f1-43de-a9e5-c41c25431b05&at=AN_67v35vZ-z25nFZMbVq9yFE8gq:1727615666732'
113                        },
114                        'agreeableness': {
115                            'googledisk': 'https://drive.usercontent.google.com/download?id=1vpoyqPR3MsLdNjkAvP5_KKZdFIvJn45F&export=download&authuser=2&confirm=t&uuid=573effe5-e8d1-44ab-98f8-fc3f39b566d9&at=AN_67v1i_iaJOCQTVfAPFWjiDWUY:1727615685740'
116                        },
117                        'non_neuroticism': {
118                            'googledisk': 'https://drive.usercontent.google.com/download?id=16Kv55LfBuxUlL7fhY8lBtcgs1Xtfy7f4&export=download&authuser=2&confirm=t&uuid=e3252289-7223-42ad-ac20-231083bb508d&at=AN_67v3Pe1XkhJkfE3JndwkXTUd9:1727615583703'
119                        }
120                }
121            },
122            'mupta': {
123                'b5': {}
124            }
125    },
126    'avt': {
127            'fi': {
128                'b5': {
129                        'googledisk': 'https://drive.usercontent.google.com/download?id=1p4BVr55tchCReCGLZ4y39ttcp5v_cmYq&export=download&authuser=2&confirm=t&uuid=e62c020f-97fb-4975-9872-666dd8e548db&at=AN_67v0U3BmTKeqFSiEKi29moDbn:1727798300717'
130                }
131            },
132            'mupta': {
133                'b5': {
134                        'googledisk': 'https://drive.usercontent.google.com/download?id=1HPFj8nv79H5rLLmjC32Hm76TIdo7GEH6&export=download&authuser=2&confirm=t&uuid=566a2d01-ef26-4cbd-8986-36b6a4a12e65&at=AN_67v1WOHojwdVTzowewJl0vWWz:1727798374011'
135                }
136            }
137    }
138}