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@_with_element
def button(self, element, label, key=None):
"Display a button widget.\n\n Parameters\n ----------\n label : str\n A short label explaining to the user what this button is for.\n key : str\n An optional string to use as the unique key for the widget.\n If this is omitted, a key will be generated for the widget\n based on its content. Multiple widgets of the same type may\n not share the same key.\n\n Returns\n -------\n bool\n If the button was clicked on the last run of the app.\n\n Example\n -------\n >>> if st.button('Say hello'):\n ... st.write('Why hello there')\n ... else:\n ... st.write('Goodbye')\n\n "
element.button.label = label
element.button.default = False
ui_value = _get_widget_ui_value('button', element, user_key=key)
current_value = (ui_value if (ui_value is not None) else False)
return current_value | 8,915,156,771,501,557,000 | Display a button widget.
Parameters
----------
label : str
A short label explaining to the user what this button is for.
key : str
An optional string to use as the unique key for the widget.
If this is omitted, a key will be generated for the widget
based on its content. Multiple widgets of the same type may
not share the same key.
Returns
-------
bool
If the button was clicked on the last run of the app.
Example
-------
>>> if st.button('Say hello'):
... st.write('Why hello there')
... else:
... st.write('Goodbye') | lib/streamlit/DeltaGenerator.py | button | OakNorthAI/streamlit-base | python | @_with_element
def button(self, element, label, key=None):
"Display a button widget.\n\n Parameters\n ----------\n label : str\n A short label explaining to the user what this button is for.\n key : str\n An optional string to use as the unique key for the widget.\n If this is omitted, a key will be generated for the widget\n based on its content. Multiple widgets of the same type may\n not share the same key.\n\n Returns\n -------\n bool\n If the button was clicked on the last run of the app.\n\n Example\n -------\n >>> if st.button('Say hello'):\n ... st.write('Why hello there')\n ... else:\n ... st.write('Goodbye')\n\n "
element.button.label = label
element.button.default = False
ui_value = _get_widget_ui_value('button', element, user_key=key)
current_value = (ui_value if (ui_value is not None) else False)
return current_value |
@_with_element
def checkbox(self, element, label, value=False, key=None):
"Display a checkbox widget.\n\n Parameters\n ----------\n label : str\n A short label explaining to the user what this checkbox is for.\n value : bool\n Preselect the checkbox when it first renders. This will be\n cast to bool internally.\n key : str\n An optional string to use as the unique key for the widget.\n If this is omitted, a key will be generated for the widget\n based on its content. Multiple widgets of the same type may\n not share the same key.\n\n Returns\n -------\n bool\n Whether or not the checkbox is checked.\n\n Example\n -------\n >>> agree = st.checkbox('I agree')\n >>>\n >>> if agree:\n ... st.write('Great!')\n\n "
element.checkbox.label = label
element.checkbox.default = bool(value)
ui_value = _get_widget_ui_value('checkbox', element, user_key=key)
current_value = (ui_value if (ui_value is not None) else value)
return bool(current_value) | 4,435,925,171,239,557,000 | Display a checkbox widget.
Parameters
----------
label : str
A short label explaining to the user what this checkbox is for.
value : bool
Preselect the checkbox when it first renders. This will be
cast to bool internally.
key : str
An optional string to use as the unique key for the widget.
If this is omitted, a key will be generated for the widget
based on its content. Multiple widgets of the same type may
not share the same key.
Returns
-------
bool
Whether or not the checkbox is checked.
Example
-------
>>> agree = st.checkbox('I agree')
>>>
>>> if agree:
... st.write('Great!') | lib/streamlit/DeltaGenerator.py | checkbox | OakNorthAI/streamlit-base | python | @_with_element
def checkbox(self, element, label, value=False, key=None):
"Display a checkbox widget.\n\n Parameters\n ----------\n label : str\n A short label explaining to the user what this checkbox is for.\n value : bool\n Preselect the checkbox when it first renders. This will be\n cast to bool internally.\n key : str\n An optional string to use as the unique key for the widget.\n If this is omitted, a key will be generated for the widget\n based on its content. Multiple widgets of the same type may\n not share the same key.\n\n Returns\n -------\n bool\n Whether or not the checkbox is checked.\n\n Example\n -------\n >>> agree = st.checkbox('I agree')\n >>>\n >>> if agree:\n ... st.write('Great!')\n\n "
element.checkbox.label = label
element.checkbox.default = bool(value)
ui_value = _get_widget_ui_value('checkbox', element, user_key=key)
current_value = (ui_value if (ui_value is not None) else value)
return bool(current_value) |
@_with_element
def multiselect(self, element, label, options, default=None, format_func=str, key=None):
"Display a multiselect widget.\n The multiselect widget starts as empty.\n\n Parameters\n ----------\n label : str\n A short label explaining to the user what this select widget is for.\n options : list, tuple, numpy.ndarray, or pandas.Series\n Labels for the select options. This will be cast to str internally\n by default.\n default: [str] or None\n List of default values.\n format_func : function\n Function to modify the display of selectbox options. It receives\n the raw option as an argument and should output the label to be\n shown for that option. This has no impact on the return value of\n the selectbox.\n key : str\n An optional string to use as the unique key for the widget.\n If this is omitted, a key will be generated for the widget\n based on its content. Multiple widgets of the same type may\n not share the same key.\n\n Returns\n -------\n [str]\n A list with the selected options\n\n Example\n -------\n >>> options = st.multiselect(\n ... 'What are your favorite colors',\n ... ['Green', 'Yellow', 'Red', 'Blue'],\n ... ['Yellow', 'Red'])\n >>>\n >>> st.write('You selected:', options)\n\n .. note::\n User experience can be degraded for large lists of `options` (100+), as this widget\n is not designed to handle arbitrary text search efficiently. See this\n `thread <https://discuss.streamlit.io/t/streamlit-loading-column-data-takes-too-much-time/1791>`_\n on the Streamlit community forum for more information and\n `GitHub issue #1059 <https://github.com/streamlit/streamlit/issues/1059>`_ for updates on the issue.\n\n "
def _check_and_convert_to_indices(options, default_values):
if ((default_values is None) and (None not in options)):
return None
if (not isinstance(default_values, list)):
if (is_type(default_values, 'numpy.ndarray') or is_type(default_values, 'pandas.core.series.Series')):
default_values = list(default_values)
elif (not default_values):
default_values = [default_values]
else:
default_values = list(default_values)
for value in default_values:
if (value not in options):
raise StreamlitAPIException('Every Multiselect default value must exist in options')
return [options.index(value) for value in default_values]
indices = _check_and_convert_to_indices(options, default)
element.multiselect.label = label
default_value = ([] if (indices is None) else indices)
element.multiselect.default[:] = default_value
element.multiselect.options[:] = [str(format_func(option)) for option in options]
ui_value = _get_widget_ui_value('multiselect', element, user_key=key)
current_value = (ui_value.value if (ui_value is not None) else default_value)
return [options[i] for i in current_value] | -4,061,092,096,204,065,000 | Display a multiselect widget.
The multiselect widget starts as empty.
Parameters
----------
label : str
A short label explaining to the user what this select widget is for.
options : list, tuple, numpy.ndarray, or pandas.Series
Labels for the select options. This will be cast to str internally
by default.
default: [str] or None
List of default values.
format_func : function
Function to modify the display of selectbox options. It receives
the raw option as an argument and should output the label to be
shown for that option. This has no impact on the return value of
the selectbox.
key : str
An optional string to use as the unique key for the widget.
If this is omitted, a key will be generated for the widget
based on its content. Multiple widgets of the same type may
not share the same key.
Returns
-------
[str]
A list with the selected options
Example
-------
>>> options = st.multiselect(
... 'What are your favorite colors',
... ['Green', 'Yellow', 'Red', 'Blue'],
... ['Yellow', 'Red'])
>>>
>>> st.write('You selected:', options)
.. note::
User experience can be degraded for large lists of `options` (100+), as this widget
is not designed to handle arbitrary text search efficiently. See this
`thread <https://discuss.streamlit.io/t/streamlit-loading-column-data-takes-too-much-time/1791>`_
on the Streamlit community forum for more information and
`GitHub issue #1059 <https://github.com/streamlit/streamlit/issues/1059>`_ for updates on the issue. | lib/streamlit/DeltaGenerator.py | multiselect | OakNorthAI/streamlit-base | python | @_with_element
def multiselect(self, element, label, options, default=None, format_func=str, key=None):
"Display a multiselect widget.\n The multiselect widget starts as empty.\n\n Parameters\n ----------\n label : str\n A short label explaining to the user what this select widget is for.\n options : list, tuple, numpy.ndarray, or pandas.Series\n Labels for the select options. This will be cast to str internally\n by default.\n default: [str] or None\n List of default values.\n format_func : function\n Function to modify the display of selectbox options. It receives\n the raw option as an argument and should output the label to be\n shown for that option. This has no impact on the return value of\n the selectbox.\n key : str\n An optional string to use as the unique key for the widget.\n If this is omitted, a key will be generated for the widget\n based on its content. Multiple widgets of the same type may\n not share the same key.\n\n Returns\n -------\n [str]\n A list with the selected options\n\n Example\n -------\n >>> options = st.multiselect(\n ... 'What are your favorite colors',\n ... ['Green', 'Yellow', 'Red', 'Blue'],\n ... ['Yellow', 'Red'])\n >>>\n >>> st.write('You selected:', options)\n\n .. note::\n User experience can be degraded for large lists of `options` (100+), as this widget\n is not designed to handle arbitrary text search efficiently. See this\n `thread <https://discuss.streamlit.io/t/streamlit-loading-column-data-takes-too-much-time/1791>`_\n on the Streamlit community forum for more information and\n `GitHub issue #1059 <https://github.com/streamlit/streamlit/issues/1059>`_ for updates on the issue.\n\n "
def _check_and_convert_to_indices(options, default_values):
if ((default_values is None) and (None not in options)):
return None
if (not isinstance(default_values, list)):
if (is_type(default_values, 'numpy.ndarray') or is_type(default_values, 'pandas.core.series.Series')):
default_values = list(default_values)
elif (not default_values):
default_values = [default_values]
else:
default_values = list(default_values)
for value in default_values:
if (value not in options):
raise StreamlitAPIException('Every Multiselect default value must exist in options')
return [options.index(value) for value in default_values]
indices = _check_and_convert_to_indices(options, default)
element.multiselect.label = label
default_value = ([] if (indices is None) else indices)
element.multiselect.default[:] = default_value
element.multiselect.options[:] = [str(format_func(option)) for option in options]
ui_value = _get_widget_ui_value('multiselect', element, user_key=key)
current_value = (ui_value.value if (ui_value is not None) else default_value)
return [options[i] for i in current_value] |
@_with_element
def radio(self, element, label, options, index=0, format_func=str, key=None):
'Display a radio button widget.\n\n Parameters\n ----------\n label : str\n A short label explaining to the user what this radio group is for.\n options : list, tuple, numpy.ndarray, or pandas.Series\n Labels for the radio options. This will be cast to str internally\n by default.\n index : int\n The index of the preselected option on first render.\n format_func : function\n Function to modify the display of radio options. It receives\n the raw option as an argument and should output the label to be\n shown for that option. This has no impact on the return value of\n the radio.\n key : str\n An optional string to use as the unique key for the widget.\n If this is omitted, a key will be generated for the widget\n based on its content. Multiple widgets of the same type may\n not share the same key.\n\n Returns\n -------\n any\n The selected option.\n\n Example\n -------\n >>> genre = st.radio(\n ... "What\'s your favorite movie genre",\n ... (\'Comedy\', \'Drama\', \'Documentary\'))\n >>>\n >>> if genre == \'Comedy\':\n ... st.write(\'You selected comedy.\')\n ... else:\n ... st.write("You didn\'t select comedy.")\n\n '
if (not isinstance(index, int)):
raise StreamlitAPIException(('Radio Value has invalid type: %s' % type(index).__name__))
if ((len(options) > 0) and (not (0 <= index < len(options)))):
raise StreamlitAPIException('Radio index must be between 0 and length of options')
element.radio.label = label
element.radio.default = index
element.radio.options[:] = [str(format_func(option)) for option in options]
ui_value = _get_widget_ui_value('radio', element, user_key=key)
current_value = (ui_value if (ui_value is not None) else index)
return (options[current_value] if ((len(options) > 0) and (options[current_value] is not None)) else NoValue) | -1,261,307,580,793,010,700 | Display a radio button widget.
Parameters
----------
label : str
A short label explaining to the user what this radio group is for.
options : list, tuple, numpy.ndarray, or pandas.Series
Labels for the radio options. This will be cast to str internally
by default.
index : int
The index of the preselected option on first render.
format_func : function
Function to modify the display of radio options. It receives
the raw option as an argument and should output the label to be
shown for that option. This has no impact on the return value of
the radio.
key : str
An optional string to use as the unique key for the widget.
If this is omitted, a key will be generated for the widget
based on its content. Multiple widgets of the same type may
not share the same key.
Returns
-------
any
The selected option.
Example
-------
>>> genre = st.radio(
... "What's your favorite movie genre",
... ('Comedy', 'Drama', 'Documentary'))
>>>
>>> if genre == 'Comedy':
... st.write('You selected comedy.')
... else:
... st.write("You didn't select comedy.") | lib/streamlit/DeltaGenerator.py | radio | OakNorthAI/streamlit-base | python | @_with_element
def radio(self, element, label, options, index=0, format_func=str, key=None):
'Display a radio button widget.\n\n Parameters\n ----------\n label : str\n A short label explaining to the user what this radio group is for.\n options : list, tuple, numpy.ndarray, or pandas.Series\n Labels for the radio options. This will be cast to str internally\n by default.\n index : int\n The index of the preselected option on first render.\n format_func : function\n Function to modify the display of radio options. It receives\n the raw option as an argument and should output the label to be\n shown for that option. This has no impact on the return value of\n the radio.\n key : str\n An optional string to use as the unique key for the widget.\n If this is omitted, a key will be generated for the widget\n based on its content. Multiple widgets of the same type may\n not share the same key.\n\n Returns\n -------\n any\n The selected option.\n\n Example\n -------\n >>> genre = st.radio(\n ... "What\'s your favorite movie genre",\n ... (\'Comedy\', \'Drama\', \'Documentary\'))\n >>>\n >>> if genre == \'Comedy\':\n ... st.write(\'You selected comedy.\')\n ... else:\n ... st.write("You didn\'t select comedy.")\n\n '
if (not isinstance(index, int)):
raise StreamlitAPIException(('Radio Value has invalid type: %s' % type(index).__name__))
if ((len(options) > 0) and (not (0 <= index < len(options)))):
raise StreamlitAPIException('Radio index must be between 0 and length of options')
element.radio.label = label
element.radio.default = index
element.radio.options[:] = [str(format_func(option)) for option in options]
ui_value = _get_widget_ui_value('radio', element, user_key=key)
current_value = (ui_value if (ui_value is not None) else index)
return (options[current_value] if ((len(options) > 0) and (options[current_value] is not None)) else NoValue) |
@_with_element
def selectbox(self, element, label, options, index=0, format_func=str, key=None):
"Display a select widget.\n\n Parameters\n ----------\n label : str\n A short label explaining to the user what this select widget is for.\n options : list, tuple, numpy.ndarray, or pandas.Series\n Labels for the select options. This will be cast to str internally\n by default.\n index : int\n The index of the preselected option on first render.\n format_func : function\n Function to modify the display of the labels. It receives the option\n as an argument and its output will be cast to str.\n key : str\n An optional string to use as the unique key for the widget.\n If this is omitted, a key will be generated for the widget\n based on its content. Multiple widgets of the same type may\n not share the same key.\n\n Returns\n -------\n any\n The selected option\n\n Example\n -------\n >>> option = st.selectbox(\n ... 'How would you like to be contacted?',\n ... ('Email', 'Home phone', 'Mobile phone'))\n >>>\n >>> st.write('You selected:', option)\n\n "
if (not isinstance(index, int)):
raise StreamlitAPIException(('Selectbox Value has invalid type: %s' % type(index).__name__))
if ((len(options) > 0) and (not (0 <= index < len(options)))):
raise StreamlitAPIException('Selectbox index must be between 0 and length of options')
element.selectbox.label = label
element.selectbox.default = index
element.selectbox.options[:] = [str(format_func(option)) for option in options]
ui_value = _get_widget_ui_value('selectbox', element, user_key=key)
current_value = (ui_value if (ui_value is not None) else index)
return (options[current_value] if ((len(options) > 0) and (options[current_value] is not None)) else NoValue) | -5,761,214,060,143,018,000 | Display a select widget.
Parameters
----------
label : str
A short label explaining to the user what this select widget is for.
options : list, tuple, numpy.ndarray, or pandas.Series
Labels for the select options. This will be cast to str internally
by default.
index : int
The index of the preselected option on first render.
format_func : function
Function to modify the display of the labels. It receives the option
as an argument and its output will be cast to str.
key : str
An optional string to use as the unique key for the widget.
If this is omitted, a key will be generated for the widget
based on its content. Multiple widgets of the same type may
not share the same key.
Returns
-------
any
The selected option
Example
-------
>>> option = st.selectbox(
... 'How would you like to be contacted?',
... ('Email', 'Home phone', 'Mobile phone'))
>>>
>>> st.write('You selected:', option) | lib/streamlit/DeltaGenerator.py | selectbox | OakNorthAI/streamlit-base | python | @_with_element
def selectbox(self, element, label, options, index=0, format_func=str, key=None):
"Display a select widget.\n\n Parameters\n ----------\n label : str\n A short label explaining to the user what this select widget is for.\n options : list, tuple, numpy.ndarray, or pandas.Series\n Labels for the select options. This will be cast to str internally\n by default.\n index : int\n The index of the preselected option on first render.\n format_func : function\n Function to modify the display of the labels. It receives the option\n as an argument and its output will be cast to str.\n key : str\n An optional string to use as the unique key for the widget.\n If this is omitted, a key will be generated for the widget\n based on its content. Multiple widgets of the same type may\n not share the same key.\n\n Returns\n -------\n any\n The selected option\n\n Example\n -------\n >>> option = st.selectbox(\n ... 'How would you like to be contacted?',\n ... ('Email', 'Home phone', 'Mobile phone'))\n >>>\n >>> st.write('You selected:', option)\n\n "
if (not isinstance(index, int)):
raise StreamlitAPIException(('Selectbox Value has invalid type: %s' % type(index).__name__))
if ((len(options) > 0) and (not (0 <= index < len(options)))):
raise StreamlitAPIException('Selectbox index must be between 0 and length of options')
element.selectbox.label = label
element.selectbox.default = index
element.selectbox.options[:] = [str(format_func(option)) for option in options]
ui_value = _get_widget_ui_value('selectbox', element, user_key=key)
current_value = (ui_value if (ui_value is not None) else index)
return (options[current_value] if ((len(options) > 0) and (options[current_value] is not None)) else NoValue) |
@_with_element
def slider(self, element, label, min_value=None, max_value=None, value=None, step=None, format=None, key=None):
'Display a slider widget.\n\n This also allows you to render a range slider by passing a two-element tuple or list as the `value`.\n\n Parameters\n ----------\n label : str or None\n A short label explaining to the user what this slider is for.\n min_value : int/float or None\n The minimum permitted value.\n Defaults to 0 if the value is an int, 0.0 otherwise.\n max_value : int/float or None\n The maximum permitted value.\n Defaults 100 if the value is an int, 1.0 otherwise.\n value : int/float or a tuple/list of int/float or None\n The value of the slider when it first renders. If a tuple/list\n of two values is passed here, then a range slider with those lower\n and upper bounds is rendered. For example, if set to `(1, 10)` the\n slider will have a selectable range between 1 and 10.\n Defaults to min_value.\n step : int/float or None\n The stepping interval.\n Defaults to 1 if the value is an int, 0.01 otherwise.\n format : str or None\n A printf-style format string controlling how the interface should\n display numbers. This does not impact the return value.\n Valid formatters: %d %e %f %g %i\n key : str\n An optional string to use as the unique key for the widget.\n If this is omitted, a key will be generated for the widget\n based on its content. Multiple widgets of the same type may\n not share the same key.\n\n Returns\n -------\n int/float or tuple of int/float\n The current value of the slider widget. The return type will match\n the data type of the value parameter.\n\n Examples\n --------\n >>> age = st.slider(\'How old are you?\', 0, 130, 25)\n >>> st.write("I\'m ", age, \'years old\')\n\n And here\'s an example of a range slider:\n\n >>> values = st.slider(\n ... \'Select a range of values\',\n ... 0.0, 100.0, (25.0, 75.0))\n >>> st.write(\'Values:\', values)\n\n '
if (value is None):
value = (min_value if (min_value is not None) else 0)
single_value = isinstance(value, (int, float))
range_value = (isinstance(value, (list, tuple)) and (len(value) in (0, 1, 2)))
if ((not single_value) and (not range_value)):
raise StreamlitAPIException('Slider value should either be an int/float or a list/tuple of 0 to 2 ints/floats')
if single_value:
int_value = isinstance(value, int)
float_value = isinstance(value, float)
else:
int_value = all(map((lambda v: isinstance(v, int)), value))
float_value = all(map((lambda v: isinstance(v, float)), value))
if ((not int_value) and (not float_value)):
raise StreamlitAPIException('Slider tuple/list components must be of the same type.')
if (min_value is None):
min_value = (0 if int_value else 0.0)
if (max_value is None):
max_value = (100 if int_value else 1.0)
if (step is None):
step = (1 if int_value else 0.01)
args = [min_value, max_value, step]
int_args = all(map((lambda a: isinstance(a, int)), args))
float_args = all(map((lambda a: isinstance(a, float)), args))
if ((not int_args) and (not float_args)):
raise StreamlitAPIException(('Slider value arguments must be of the same type.\n`value` has %(value_type)s type.\n`min_value` has %(min_type)s type.\n`max_value` has %(max_type)s type.' % {'value_type': type(value).__name__, 'min_type': type(min_value).__name__, 'max_type': type(max_value).__name__}))
all_ints = (int_value and int_args)
all_floats = (float_value and float_args)
if ((not all_ints) and (not all_floats)):
raise StreamlitAPIException(('Both value and arguments must be of the same type.\n`value` has %(value_type)s type.\n`min_value` has %(min_type)s type.\n`max_value` has %(max_type)s type.' % {'value_type': type(value).__name__, 'min_type': type(min_value).__name__, 'max_type': type(max_value).__name__}))
if single_value:
if (not (min_value <= value <= max_value)):
raise StreamlitAPIException(('The default `value` of %(value)s must lie between the `min_value` of %(min)s and the `max_value` of %(max)s, inclusively.' % {'value': value, 'min': min_value, 'max': max_value}))
elif (len(value) == 2):
(start, end) = value
if (not (min_value <= start <= end <= max_value)):
raise StreamlitAPIException('The value and/or arguments are out of range.')
else:
value = [min_value, max_value]
try:
if all_ints:
JSNumber.validate_int_bounds(min_value, '`min_value`')
JSNumber.validate_int_bounds(max_value, '`max_value`')
else:
JSNumber.validate_float_bounds(min_value, '`min_value`')
JSNumber.validate_float_bounds(max_value, '`max_value`')
except JSNumberBoundsException as e:
raise StreamlitAPIException(str(e))
if (format is None):
if all_ints:
format = '%d'
else:
format = '%0.2f'
element.slider.label = label
element.slider.format = format
element.slider.default[:] = ([value] if single_value else value)
element.slider.min = min_value
element.slider.max = max_value
element.slider.step = step
ui_value = _get_widget_ui_value('slider', element, user_key=key)
current_value = (ui_value if (ui_value is not None) else value)
if (ui_value is not None):
current_value = getattr(ui_value, 'value')
if all_ints:
current_value = list(map(int, current_value))
current_value = (current_value[0] if single_value else current_value)
return (current_value if single_value else tuple(current_value)) | 7,022,913,251,441,921,000 | Display a slider widget.
This also allows you to render a range slider by passing a two-element tuple or list as the `value`.
Parameters
----------
label : str or None
A short label explaining to the user what this slider is for.
min_value : int/float or None
The minimum permitted value.
Defaults to 0 if the value is an int, 0.0 otherwise.
max_value : int/float or None
The maximum permitted value.
Defaults 100 if the value is an int, 1.0 otherwise.
value : int/float or a tuple/list of int/float or None
The value of the slider when it first renders. If a tuple/list
of two values is passed here, then a range slider with those lower
and upper bounds is rendered. For example, if set to `(1, 10)` the
slider will have a selectable range between 1 and 10.
Defaults to min_value.
step : int/float or None
The stepping interval.
Defaults to 1 if the value is an int, 0.01 otherwise.
format : str or None
A printf-style format string controlling how the interface should
display numbers. This does not impact the return value.
Valid formatters: %d %e %f %g %i
key : str
An optional string to use as the unique key for the widget.
If this is omitted, a key will be generated for the widget
based on its content. Multiple widgets of the same type may
not share the same key.
Returns
-------
int/float or tuple of int/float
The current value of the slider widget. The return type will match
the data type of the value parameter.
Examples
--------
>>> age = st.slider('How old are you?', 0, 130, 25)
>>> st.write("I'm ", age, 'years old')
And here's an example of a range slider:
>>> values = st.slider(
... 'Select a range of values',
... 0.0, 100.0, (25.0, 75.0))
>>> st.write('Values:', values) | lib/streamlit/DeltaGenerator.py | slider | OakNorthAI/streamlit-base | python | @_with_element
def slider(self, element, label, min_value=None, max_value=None, value=None, step=None, format=None, key=None):
'Display a slider widget.\n\n This also allows you to render a range slider by passing a two-element tuple or list as the `value`.\n\n Parameters\n ----------\n label : str or None\n A short label explaining to the user what this slider is for.\n min_value : int/float or None\n The minimum permitted value.\n Defaults to 0 if the value is an int, 0.0 otherwise.\n max_value : int/float or None\n The maximum permitted value.\n Defaults 100 if the value is an int, 1.0 otherwise.\n value : int/float or a tuple/list of int/float or None\n The value of the slider when it first renders. If a tuple/list\n of two values is passed here, then a range slider with those lower\n and upper bounds is rendered. For example, if set to `(1, 10)` the\n slider will have a selectable range between 1 and 10.\n Defaults to min_value.\n step : int/float or None\n The stepping interval.\n Defaults to 1 if the value is an int, 0.01 otherwise.\n format : str or None\n A printf-style format string controlling how the interface should\n display numbers. This does not impact the return value.\n Valid formatters: %d %e %f %g %i\n key : str\n An optional string to use as the unique key for the widget.\n If this is omitted, a key will be generated for the widget\n based on its content. Multiple widgets of the same type may\n not share the same key.\n\n Returns\n -------\n int/float or tuple of int/float\n The current value of the slider widget. The return type will match\n the data type of the value parameter.\n\n Examples\n --------\n >>> age = st.slider(\'How old are you?\', 0, 130, 25)\n >>> st.write("I\'m ", age, \'years old\')\n\n And here\'s an example of a range slider:\n\n >>> values = st.slider(\n ... \'Select a range of values\',\n ... 0.0, 100.0, (25.0, 75.0))\n >>> st.write(\'Values:\', values)\n\n '
if (value is None):
value = (min_value if (min_value is not None) else 0)
single_value = isinstance(value, (int, float))
range_value = (isinstance(value, (list, tuple)) and (len(value) in (0, 1, 2)))
if ((not single_value) and (not range_value)):
raise StreamlitAPIException('Slider value should either be an int/float or a list/tuple of 0 to 2 ints/floats')
if single_value:
int_value = isinstance(value, int)
float_value = isinstance(value, float)
else:
int_value = all(map((lambda v: isinstance(v, int)), value))
float_value = all(map((lambda v: isinstance(v, float)), value))
if ((not int_value) and (not float_value)):
raise StreamlitAPIException('Slider tuple/list components must be of the same type.')
if (min_value is None):
min_value = (0 if int_value else 0.0)
if (max_value is None):
max_value = (100 if int_value else 1.0)
if (step is None):
step = (1 if int_value else 0.01)
args = [min_value, max_value, step]
int_args = all(map((lambda a: isinstance(a, int)), args))
float_args = all(map((lambda a: isinstance(a, float)), args))
if ((not int_args) and (not float_args)):
raise StreamlitAPIException(('Slider value arguments must be of the same type.\n`value` has %(value_type)s type.\n`min_value` has %(min_type)s type.\n`max_value` has %(max_type)s type.' % {'value_type': type(value).__name__, 'min_type': type(min_value).__name__, 'max_type': type(max_value).__name__}))
all_ints = (int_value and int_args)
all_floats = (float_value and float_args)
if ((not all_ints) and (not all_floats)):
raise StreamlitAPIException(('Both value and arguments must be of the same type.\n`value` has %(value_type)s type.\n`min_value` has %(min_type)s type.\n`max_value` has %(max_type)s type.' % {'value_type': type(value).__name__, 'min_type': type(min_value).__name__, 'max_type': type(max_value).__name__}))
if single_value:
if (not (min_value <= value <= max_value)):
raise StreamlitAPIException(('The default `value` of %(value)s must lie between the `min_value` of %(min)s and the `max_value` of %(max)s, inclusively.' % {'value': value, 'min': min_value, 'max': max_value}))
elif (len(value) == 2):
(start, end) = value
if (not (min_value <= start <= end <= max_value)):
raise StreamlitAPIException('The value and/or arguments are out of range.')
else:
value = [min_value, max_value]
try:
if all_ints:
JSNumber.validate_int_bounds(min_value, '`min_value`')
JSNumber.validate_int_bounds(max_value, '`max_value`')
else:
JSNumber.validate_float_bounds(min_value, '`min_value`')
JSNumber.validate_float_bounds(max_value, '`max_value`')
except JSNumberBoundsException as e:
raise StreamlitAPIException(str(e))
if (format is None):
if all_ints:
format = '%d'
else:
format = '%0.2f'
element.slider.label = label
element.slider.format = format
element.slider.default[:] = ([value] if single_value else value)
element.slider.min = min_value
element.slider.max = max_value
element.slider.step = step
ui_value = _get_widget_ui_value('slider', element, user_key=key)
current_value = (ui_value if (ui_value is not None) else value)
if (ui_value is not None):
current_value = getattr(ui_value, 'value')
if all_ints:
current_value = list(map(int, current_value))
current_value = (current_value[0] if single_value else current_value)
return (current_value if single_value else tuple(current_value)) |
@_with_element
def file_uploader(self, element, label, type=None, encoding='auto', key=None):
'Display a file uploader widget.\n\n By default, uploaded files are limited to 200MB. You can configure\n this using the `server.maxUploadSize` config option.\n\n Parameters\n ----------\n label : str or None\n A short label explaining to the user what this file uploader is for.\n type : str or list of str or None\n Array of allowed extensions. [\'png\', \'jpg\']\n By default, all extensions are allowed.\n encoding : str or None\n The encoding to use when opening textual files (i.e. non-binary).\n For example: \'utf-8\'. If set to \'auto\', will try to guess the\n encoding. If None, will assume the file is binary.\n key : str\n An optional string to use as the unique key for the widget.\n If this is omitted, a key will be generated for the widget\n based on its content. Multiple widgets of the same type may\n not share the same key.\n\n Returns\n -------\n BytesIO or StringIO or or list of BytesIO/StringIO or None\n If no file has been uploaded, returns None. Otherwise, returns\n the data for the uploaded file(s):\n - If the file is in a well-known textual format (or if the encoding\n parameter is set), the file data is a StringIO.\n - Otherwise the file data is BytesIO.\n - If multiple_files is True, a list of file data will be returned.\n\n Note that BytesIO/StringIO are "file-like", which means you can\n pass them anywhere where a file is expected!\n\n Examples\n --------\n >>> uploaded_file = st.file_uploader("Choose a CSV file", type="csv")\n >>> if uploaded_file is not None:\n ... data = pd.read_csv(uploaded_file)\n ... st.write(data)\n\n '
accept_multiple_files = False
if isinstance(type, str):
type = [type]
element.file_uploader.label = label
element.file_uploader.type[:] = (type if (type is not None) else [])
element.file_uploader.max_upload_size_mb = config.get_option('server.maxUploadSize')
element.file_uploader.multiple_files = accept_multiple_files
_set_widget_id('file_uploader', element, user_key=key)
files = None
ctx = get_report_ctx()
if (ctx is not None):
files = ctx.uploaded_file_mgr.get_files(session_id=ctx.session_id, widget_id=element.file_uploader.id)
if (files is None):
return NoValue
file_datas = [get_encoded_file_data(file.data, encoding) for file in files]
return (file_datas if accept_multiple_files else file_datas[0]) | -8,024,954,997,992,139,000 | Display a file uploader widget.
By default, uploaded files are limited to 200MB. You can configure
this using the `server.maxUploadSize` config option.
Parameters
----------
label : str or None
A short label explaining to the user what this file uploader is for.
type : str or list of str or None
Array of allowed extensions. ['png', 'jpg']
By default, all extensions are allowed.
encoding : str or None
The encoding to use when opening textual files (i.e. non-binary).
For example: 'utf-8'. If set to 'auto', will try to guess the
encoding. If None, will assume the file is binary.
key : str
An optional string to use as the unique key for the widget.
If this is omitted, a key will be generated for the widget
based on its content. Multiple widgets of the same type may
not share the same key.
Returns
-------
BytesIO or StringIO or or list of BytesIO/StringIO or None
If no file has been uploaded, returns None. Otherwise, returns
the data for the uploaded file(s):
- If the file is in a well-known textual format (or if the encoding
parameter is set), the file data is a StringIO.
- Otherwise the file data is BytesIO.
- If multiple_files is True, a list of file data will be returned.
Note that BytesIO/StringIO are "file-like", which means you can
pass them anywhere where a file is expected!
Examples
--------
>>> uploaded_file = st.file_uploader("Choose a CSV file", type="csv")
>>> if uploaded_file is not None:
... data = pd.read_csv(uploaded_file)
... st.write(data) | lib/streamlit/DeltaGenerator.py | file_uploader | OakNorthAI/streamlit-base | python | @_with_element
def file_uploader(self, element, label, type=None, encoding='auto', key=None):
'Display a file uploader widget.\n\n By default, uploaded files are limited to 200MB. You can configure\n this using the `server.maxUploadSize` config option.\n\n Parameters\n ----------\n label : str or None\n A short label explaining to the user what this file uploader is for.\n type : str or list of str or None\n Array of allowed extensions. [\'png\', \'jpg\']\n By default, all extensions are allowed.\n encoding : str or None\n The encoding to use when opening textual files (i.e. non-binary).\n For example: \'utf-8\'. If set to \'auto\', will try to guess the\n encoding. If None, will assume the file is binary.\n key : str\n An optional string to use as the unique key for the widget.\n If this is omitted, a key will be generated for the widget\n based on its content. Multiple widgets of the same type may\n not share the same key.\n\n Returns\n -------\n BytesIO or StringIO or or list of BytesIO/StringIO or None\n If no file has been uploaded, returns None. Otherwise, returns\n the data for the uploaded file(s):\n - If the file is in a well-known textual format (or if the encoding\n parameter is set), the file data is a StringIO.\n - Otherwise the file data is BytesIO.\n - If multiple_files is True, a list of file data will be returned.\n\n Note that BytesIO/StringIO are "file-like", which means you can\n pass them anywhere where a file is expected!\n\n Examples\n --------\n >>> uploaded_file = st.file_uploader("Choose a CSV file", type="csv")\n >>> if uploaded_file is not None:\n ... data = pd.read_csv(uploaded_file)\n ... st.write(data)\n\n '
accept_multiple_files = False
if isinstance(type, str):
type = [type]
element.file_uploader.label = label
element.file_uploader.type[:] = (type if (type is not None) else [])
element.file_uploader.max_upload_size_mb = config.get_option('server.maxUploadSize')
element.file_uploader.multiple_files = accept_multiple_files
_set_widget_id('file_uploader', element, user_key=key)
files = None
ctx = get_report_ctx()
if (ctx is not None):
files = ctx.uploaded_file_mgr.get_files(session_id=ctx.session_id, widget_id=element.file_uploader.id)
if (files is None):
return NoValue
file_datas = [get_encoded_file_data(file.data, encoding) for file in files]
return (file_datas if accept_multiple_files else file_datas[0]) |
@_with_element
def beta_color_picker(self, element, label, value=None, key=None):
"Display a color picker widget.\n\n Note: This is a beta feature. See\n https://docs.streamlit.io/en/latest/pre_release_features.html for more\n information.\n\n Parameters\n ----------\n label : str\n A short label explaining to the user what this input is for.\n value : str or None\n The hex value of this widget when it first renders. If None,\n defaults to black.\n key : str\n An optional string to use as the unique key for the widget.\n If this is omitted, a key will be generated for the widget\n based on its content. Multiple widgets of the same type may\n not share the same key.\n\n Returns\n -------\n str\n The selected color as a hex string.\n\n Example\n -------\n >>> color = st.beta_color_picker('Pick A Color', '#00f900')\n >>> st.write('The current color is', color)\n\n "
if (value is None):
value = '#000000'
if (not isinstance(value, str)):
raise StreamlitAPIException(("\n Color Picker Value has invalid type: %s. Expects a hex string\n like '#00FFAA' or '#000'.\n " % type(value).__name__))
match = re.match('^#(?:[0-9a-fA-F]{3}){1,2}$', value)
if (not match):
raise StreamlitAPIException(("\n '%s' is not a valid hex code for colors. Valid ones are like\n '#00FFAA' or '#000'.\n " % value))
element.color_picker.label = label
element.color_picker.default = str(value)
ui_value = _get_widget_ui_value('color_picker', element, user_key=key)
current_value = (ui_value if (ui_value is not None) else value)
return str(current_value) | 8,279,966,507,809,524,000 | Display a color picker widget.
Note: This is a beta feature. See
https://docs.streamlit.io/en/latest/pre_release_features.html for more
information.
Parameters
----------
label : str
A short label explaining to the user what this input is for.
value : str or None
The hex value of this widget when it first renders. If None,
defaults to black.
key : str
An optional string to use as the unique key for the widget.
If this is omitted, a key will be generated for the widget
based on its content. Multiple widgets of the same type may
not share the same key.
Returns
-------
str
The selected color as a hex string.
Example
-------
>>> color = st.beta_color_picker('Pick A Color', '#00f900')
>>> st.write('The current color is', color) | lib/streamlit/DeltaGenerator.py | beta_color_picker | OakNorthAI/streamlit-base | python | @_with_element
def beta_color_picker(self, element, label, value=None, key=None):
"Display a color picker widget.\n\n Note: This is a beta feature. See\n https://docs.streamlit.io/en/latest/pre_release_features.html for more\n information.\n\n Parameters\n ----------\n label : str\n A short label explaining to the user what this input is for.\n value : str or None\n The hex value of this widget when it first renders. If None,\n defaults to black.\n key : str\n An optional string to use as the unique key for the widget.\n If this is omitted, a key will be generated for the widget\n based on its content. Multiple widgets of the same type may\n not share the same key.\n\n Returns\n -------\n str\n The selected color as a hex string.\n\n Example\n -------\n >>> color = st.beta_color_picker('Pick A Color', '#00f900')\n >>> st.write('The current color is', color)\n\n "
if (value is None):
value = '#000000'
if (not isinstance(value, str)):
raise StreamlitAPIException(("\n Color Picker Value has invalid type: %s. Expects a hex string\n like '#00FFAA' or '#000'.\n " % type(value).__name__))
match = re.match('^#(?:[0-9a-fA-F]{3}){1,2}$', value)
if (not match):
raise StreamlitAPIException(("\n '%s' is not a valid hex code for colors. Valid ones are like\n '#00FFAA' or '#000'.\n " % value))
element.color_picker.label = label
element.color_picker.default = str(value)
ui_value = _get_widget_ui_value('color_picker', element, user_key=key)
current_value = (ui_value if (ui_value is not None) else value)
return str(current_value) |
@_with_element
def text_input(self, element, label, value='', max_chars=None, key=None, type='default'):
'Display a single-line text input widget.\n\n Parameters\n ----------\n label : str\n A short label explaining to the user what this input is for.\n value : any\n The text value of this widget when it first renders. This will be\n cast to str internally.\n max_chars : int or None\n Max number of characters allowed in text input.\n key : str\n An optional string to use as the unique key for the widget.\n If this is omitted, a key will be generated for the widget\n based on its content. Multiple widgets of the same type may\n not share the same key.\n type : str\n The type of the text input. This can be either "default" (for\n a regular text input), or "password" (for a text input that\n masks the user\'s typed value). Defaults to "default".\n\n Returns\n -------\n str\n The current value of the text input widget.\n\n Example\n -------\n >>> title = st.text_input(\'Movie title\', \'Life of Brian\')\n >>> st.write(\'The current movie title is\', title)\n\n '
element.text_input.label = label
element.text_input.default = str(value)
if (max_chars is not None):
element.text_input.max_chars = max_chars
if (type == 'default'):
element.text_input.type = TextInput.DEFAULT
elif (type == 'password'):
element.text_input.type = TextInput.PASSWORD
else:
raise StreamlitAPIException(("'%s' is not a valid text_input type. Valid types are 'default' and 'password'." % type))
ui_value = _get_widget_ui_value('text_input', element, user_key=key)
current_value = (ui_value if (ui_value is not None) else value)
return str(current_value) | 7,888,950,086,938,866,000 | Display a single-line text input widget.
Parameters
----------
label : str
A short label explaining to the user what this input is for.
value : any
The text value of this widget when it first renders. This will be
cast to str internally.
max_chars : int or None
Max number of characters allowed in text input.
key : str
An optional string to use as the unique key for the widget.
If this is omitted, a key will be generated for the widget
based on its content. Multiple widgets of the same type may
not share the same key.
type : str
The type of the text input. This can be either "default" (for
a regular text input), or "password" (for a text input that
masks the user's typed value). Defaults to "default".
Returns
-------
str
The current value of the text input widget.
Example
-------
>>> title = st.text_input('Movie title', 'Life of Brian')
>>> st.write('The current movie title is', title) | lib/streamlit/DeltaGenerator.py | text_input | OakNorthAI/streamlit-base | python | @_with_element
def text_input(self, element, label, value=, max_chars=None, key=None, type='default'):
'Display a single-line text input widget.\n\n Parameters\n ----------\n label : str\n A short label explaining to the user what this input is for.\n value : any\n The text value of this widget when it first renders. This will be\n cast to str internally.\n max_chars : int or None\n Max number of characters allowed in text input.\n key : str\n An optional string to use as the unique key for the widget.\n If this is omitted, a key will be generated for the widget\n based on its content. Multiple widgets of the same type may\n not share the same key.\n type : str\n The type of the text input. This can be either "default" (for\n a regular text input), or "password" (for a text input that\n masks the user\'s typed value). Defaults to "default".\n\n Returns\n -------\n str\n The current value of the text input widget.\n\n Example\n -------\n >>> title = st.text_input(\'Movie title\', \'Life of Brian\')\n >>> st.write(\'The current movie title is\', title)\n\n '
element.text_input.label = label
element.text_input.default = str(value)
if (max_chars is not None):
element.text_input.max_chars = max_chars
if (type == 'default'):
element.text_input.type = TextInput.DEFAULT
elif (type == 'password'):
element.text_input.type = TextInput.PASSWORD
else:
raise StreamlitAPIException(("'%s' is not a valid text_input type. Valid types are 'default' and 'password'." % type))
ui_value = _get_widget_ui_value('text_input', element, user_key=key)
current_value = (ui_value if (ui_value is not None) else value)
return str(current_value) |
@_with_element
def text_area(self, element, label, value='', height=None, max_chars=None, key=None):
"Display a multi-line text input widget.\n\n Parameters\n ----------\n label : str\n A short label explaining to the user what this input is for.\n value : any\n The text value of this widget when it first renders. This will be\n cast to str internally.\n height : int or None\n Desired height of the UI element expressed in pixels. If None, a\n default height is used.\n max_chars : int or None\n Maximum number of characters allowed in text area.\n key : str\n An optional string to use as the unique key for the widget.\n If this is omitted, a key will be generated for the widget\n based on its content. Multiple widgets of the same type may\n not share the same key.\n\n Returns\n -------\n str\n The current value of the text input widget.\n\n Example\n -------\n >>> txt = st.text_area('Text to analyze', '''\n ... It was the best of times, it was the worst of times, it was\n ... the age of wisdom, it was the age of foolishness, it was\n ... the epoch of belief, it was the epoch of incredulity, it\n ... was the season of Light, it was the season of Darkness, it\n ... was the spring of hope, it was the winter of despair, (...)\n ... ''')\n >>> st.write('Sentiment:', run_sentiment_analysis(txt))\n\n "
element.text_area.label = label
element.text_area.default = str(value)
if (height is not None):
element.text_area.height = height
if (max_chars is not None):
element.text_area.max_chars = max_chars
ui_value = _get_widget_ui_value('text_area', element, user_key=key)
current_value = (ui_value if (ui_value is not None) else value)
return str(current_value) | 4,256,666,320,738,230,000 | Display a multi-line text input widget.
Parameters
----------
label : str
A short label explaining to the user what this input is for.
value : any
The text value of this widget when it first renders. This will be
cast to str internally.
height : int or None
Desired height of the UI element expressed in pixels. If None, a
default height is used.
max_chars : int or None
Maximum number of characters allowed in text area.
key : str
An optional string to use as the unique key for the widget.
If this is omitted, a key will be generated for the widget
based on its content. Multiple widgets of the same type may
not share the same key.
Returns
-------
str
The current value of the text input widget.
Example
-------
>>> txt = st.text_area('Text to analyze', '''
... It was the best of times, it was the worst of times, it was
... the age of wisdom, it was the age of foolishness, it was
... the epoch of belief, it was the epoch of incredulity, it
... was the season of Light, it was the season of Darkness, it
... was the spring of hope, it was the winter of despair, (...)
... ''')
>>> st.write('Sentiment:', run_sentiment_analysis(txt)) | lib/streamlit/DeltaGenerator.py | text_area | OakNorthAI/streamlit-base | python | @_with_element
def text_area(self, element, label, value=, height=None, max_chars=None, key=None):
"Display a multi-line text input widget.\n\n Parameters\n ----------\n label : str\n A short label explaining to the user what this input is for.\n value : any\n The text value of this widget when it first renders. This will be\n cast to str internally.\n height : int or None\n Desired height of the UI element expressed in pixels. If None, a\n default height is used.\n max_chars : int or None\n Maximum number of characters allowed in text area.\n key : str\n An optional string to use as the unique key for the widget.\n If this is omitted, a key will be generated for the widget\n based on its content. Multiple widgets of the same type may\n not share the same key.\n\n Returns\n -------\n str\n The current value of the text input widget.\n\n Example\n -------\n >>> txt = st.text_area('Text to analyze', '\n ... It was the best of times, it was the worst of times, it was\n ... the age of wisdom, it was the age of foolishness, it was\n ... the epoch of belief, it was the epoch of incredulity, it\n ... was the season of Light, it was the season of Darkness, it\n ... was the spring of hope, it was the winter of despair, (...)\n ... ')\n >>> st.write('Sentiment:', run_sentiment_analysis(txt))\n\n "
element.text_area.label = label
element.text_area.default = str(value)
if (height is not None):
element.text_area.height = height
if (max_chars is not None):
element.text_area.max_chars = max_chars
ui_value = _get_widget_ui_value('text_area', element, user_key=key)
current_value = (ui_value if (ui_value is not None) else value)
return str(current_value) |
@_with_element
def time_input(self, element, label, value=None, key=None):
"Display a time input widget.\n\n Parameters\n ----------\n label : str\n A short label explaining to the user what this time input is for.\n value : datetime.time/datetime.datetime\n The value of this widget when it first renders. This will be\n cast to str internally. Defaults to the current time.\n key : str\n An optional string to use as the unique key for the widget.\n If this is omitted, a key will be generated for the widget\n based on its content. Multiple widgets of the same type may\n not share the same key.\n\n Returns\n -------\n datetime.time\n The current value of the time input widget.\n\n Example\n -------\n >>> t = st.time_input('Set an alarm for', datetime.time(8, 45))\n >>> st.write('Alarm is set for', t)\n\n "
if (value is None):
value = datetime.now().time()
if ((not isinstance(value, datetime)) and (not isinstance(value, time))):
raise StreamlitAPIException('The type of the value should be either datetime or time.')
if isinstance(value, datetime):
value = value.time()
element.time_input.label = label
element.time_input.default = time.strftime(value, '%H:%M')
ui_value = _get_widget_ui_value('time_input', element, user_key=key)
current_value = (datetime.strptime(ui_value, '%H:%M').time() if (ui_value is not None) else value)
return current_value | 6,452,685,206,723,403,000 | Display a time input widget.
Parameters
----------
label : str
A short label explaining to the user what this time input is for.
value : datetime.time/datetime.datetime
The value of this widget when it first renders. This will be
cast to str internally. Defaults to the current time.
key : str
An optional string to use as the unique key for the widget.
If this is omitted, a key will be generated for the widget
based on its content. Multiple widgets of the same type may
not share the same key.
Returns
-------
datetime.time
The current value of the time input widget.
Example
-------
>>> t = st.time_input('Set an alarm for', datetime.time(8, 45))
>>> st.write('Alarm is set for', t) | lib/streamlit/DeltaGenerator.py | time_input | OakNorthAI/streamlit-base | python | @_with_element
def time_input(self, element, label, value=None, key=None):
"Display a time input widget.\n\n Parameters\n ----------\n label : str\n A short label explaining to the user what this time input is for.\n value : datetime.time/datetime.datetime\n The value of this widget when it first renders. This will be\n cast to str internally. Defaults to the current time.\n key : str\n An optional string to use as the unique key for the widget.\n If this is omitted, a key will be generated for the widget\n based on its content. Multiple widgets of the same type may\n not share the same key.\n\n Returns\n -------\n datetime.time\n The current value of the time input widget.\n\n Example\n -------\n >>> t = st.time_input('Set an alarm for', datetime.time(8, 45))\n >>> st.write('Alarm is set for', t)\n\n "
if (value is None):
value = datetime.now().time()
if ((not isinstance(value, datetime)) and (not isinstance(value, time))):
raise StreamlitAPIException('The type of the value should be either datetime or time.')
if isinstance(value, datetime):
value = value.time()
element.time_input.label = label
element.time_input.default = time.strftime(value, '%H:%M')
ui_value = _get_widget_ui_value('time_input', element, user_key=key)
current_value = (datetime.strptime(ui_value, '%H:%M').time() if (ui_value is not None) else value)
return current_value |
@_with_element
def date_input(self, element, label, value=None, min_value=datetime.min, max_value=None, key=None):
'Display a date input widget.\n\n Parameters\n ----------\n label : str\n A short label explaining to the user what this date input is for.\n value : datetime.date or datetime.datetime or list/tuple of datetime.date or datetime.datetime or None\n The value of this widget when it first renders. If a list/tuple with\n 0 to 2 date/datetime values is provided, the datepicker will allow\n users to provide a range. Defaults to today as a single-date picker.\n min_value : datetime.date or datetime.datetime\n The minimum selectable date. Defaults to datetime.min.\n max_value : datetime.date or datetime.datetime\n The maximum selectable date. Defaults to today+10y.\n key : str\n An optional string to use as the unique key for the widget.\n If this is omitted, a key will be generated for the widget\n based on its content. Multiple widgets of the same type may\n not share the same key.\n\n Returns\n -------\n datetime.date\n The current value of the date input widget.\n\n Example\n -------\n >>> d = st.date_input(\n ... "When\'s your birthday",\n ... datetime.date(2019, 7, 6))\n >>> st.write(\'Your birthday is:\', d)\n\n '
if (value is None):
value = datetime.now().date()
single_value = isinstance(value, (date, datetime))
range_value = (isinstance(value, (list, tuple)) and (len(value) in (0, 1, 2)))
if ((not single_value) and (not range_value)):
raise StreamlitAPIException('DateInput value should either be an date/datetime or a list/tuple of 0 - 2 date/datetime values')
if single_value:
value = [value]
element.date_input.is_range = range_value
value = [(v.date() if isinstance(v, datetime) else v) for v in value]
element.date_input.label = label
element.date_input.default[:] = [date.strftime(v, '%Y/%m/%d') for v in value]
if isinstance(min_value, datetime):
min_value = min_value.date()
element.date_input.min = date.strftime(min_value, '%Y/%m/%d')
if (max_value is None):
today = date.today()
max_value = date((today.year + 10), today.month, today.day)
if isinstance(max_value, datetime):
max_value = max_value.date()
element.date_input.max = date.strftime(max_value, '%Y/%m/%d')
ui_value = _get_widget_ui_value('date_input', element, user_key=key)
if (ui_value is not None):
value = getattr(ui_value, 'data')
value = [datetime.strptime(v, '%Y/%m/%d').date() for v in value]
if single_value:
return value[0]
else:
return tuple(value) | -8,081,064,151,479,856,000 | Display a date input widget.
Parameters
----------
label : str
A short label explaining to the user what this date input is for.
value : datetime.date or datetime.datetime or list/tuple of datetime.date or datetime.datetime or None
The value of this widget when it first renders. If a list/tuple with
0 to 2 date/datetime values is provided, the datepicker will allow
users to provide a range. Defaults to today as a single-date picker.
min_value : datetime.date or datetime.datetime
The minimum selectable date. Defaults to datetime.min.
max_value : datetime.date or datetime.datetime
The maximum selectable date. Defaults to today+10y.
key : str
An optional string to use as the unique key for the widget.
If this is omitted, a key will be generated for the widget
based on its content. Multiple widgets of the same type may
not share the same key.
Returns
-------
datetime.date
The current value of the date input widget.
Example
-------
>>> d = st.date_input(
... "When's your birthday",
... datetime.date(2019, 7, 6))
>>> st.write('Your birthday is:', d) | lib/streamlit/DeltaGenerator.py | date_input | OakNorthAI/streamlit-base | python | @_with_element
def date_input(self, element, label, value=None, min_value=datetime.min, max_value=None, key=None):
'Display a date input widget.\n\n Parameters\n ----------\n label : str\n A short label explaining to the user what this date input is for.\n value : datetime.date or datetime.datetime or list/tuple of datetime.date or datetime.datetime or None\n The value of this widget when it first renders. If a list/tuple with\n 0 to 2 date/datetime values is provided, the datepicker will allow\n users to provide a range. Defaults to today as a single-date picker.\n min_value : datetime.date or datetime.datetime\n The minimum selectable date. Defaults to datetime.min.\n max_value : datetime.date or datetime.datetime\n The maximum selectable date. Defaults to today+10y.\n key : str\n An optional string to use as the unique key for the widget.\n If this is omitted, a key will be generated for the widget\n based on its content. Multiple widgets of the same type may\n not share the same key.\n\n Returns\n -------\n datetime.date\n The current value of the date input widget.\n\n Example\n -------\n >>> d = st.date_input(\n ... "When\'s your birthday",\n ... datetime.date(2019, 7, 6))\n >>> st.write(\'Your birthday is:\', d)\n\n '
if (value is None):
value = datetime.now().date()
single_value = isinstance(value, (date, datetime))
range_value = (isinstance(value, (list, tuple)) and (len(value) in (0, 1, 2)))
if ((not single_value) and (not range_value)):
raise StreamlitAPIException('DateInput value should either be an date/datetime or a list/tuple of 0 - 2 date/datetime values')
if single_value:
value = [value]
element.date_input.is_range = range_value
value = [(v.date() if isinstance(v, datetime) else v) for v in value]
element.date_input.label = label
element.date_input.default[:] = [date.strftime(v, '%Y/%m/%d') for v in value]
if isinstance(min_value, datetime):
min_value = min_value.date()
element.date_input.min = date.strftime(min_value, '%Y/%m/%d')
if (max_value is None):
today = date.today()
max_value = date((today.year + 10), today.month, today.day)
if isinstance(max_value, datetime):
max_value = max_value.date()
element.date_input.max = date.strftime(max_value, '%Y/%m/%d')
ui_value = _get_widget_ui_value('date_input', element, user_key=key)
if (ui_value is not None):
value = getattr(ui_value, 'data')
value = [datetime.strptime(v, '%Y/%m/%d').date() for v in value]
if single_value:
return value[0]
else:
return tuple(value) |
@_with_element
def number_input(self, element, label, min_value=None, max_value=None, value=NoValue(), step=None, format=None, key=None):
"Display a numeric input widget.\n\n Parameters\n ----------\n label : str or None\n A short label explaining to the user what this input is for.\n min_value : int or float or None\n The minimum permitted value.\n If None, there will be no minimum.\n max_value : int or float or None\n The maximum permitted value.\n If None, there will be no maximum.\n value : int or float or None\n The value of this widget when it first renders.\n Defaults to min_value, or 0.0 if min_value is None\n step : int or float or None\n The stepping interval.\n Defaults to 1 if the value is an int, 0.01 otherwise.\n If the value is not specified, the format parameter will be used.\n format : str or None\n A printf-style format string controlling how the interface should\n display numbers. Output must be purely numeric. This does not impact\n the return value. Valid formatters: %d %e %f %g %i\n key : str\n An optional string to use as the unique key for the widget.\n If this is omitted, a key will be generated for the widget\n based on its content. Multiple widgets of the same type may\n not share the same key.\n\n Returns\n -------\n int or float\n The current value of the numeric input widget. The return type\n will match the data type of the value parameter.\n\n Example\n -------\n >>> number = st.number_input('Insert a number')\n >>> st.write('The current number is ', number)\n "
if isinstance(value, NoValue):
if min_value:
value = min_value
else:
value = 0.0
int_value = isinstance(value, numbers.Integral)
float_value = isinstance(value, float)
if (value is None):
raise StreamlitAPIException('Default value for number_input should be an int or a float.')
else:
if (format is None):
format = ('%d' if int_value else '%0.2f')
if ((format in ['%d', '%u', '%i']) and float_value):
import streamlit as st
st.warning('Warning: NumberInput value below is float, but format {} displays as integer.'.format(format))
if (step is None):
step = (1 if int_value else 0.01)
try:
float((format % 2))
except (TypeError, ValueError):
raise StreamlitAPIException(('Format string for st.number_input contains invalid characters: %s' % format))
args = [min_value, max_value, step]
int_args = all(map((lambda a: (isinstance(a, numbers.Integral) or isinstance(a, type(None)))), args))
float_args = all(map((lambda a: (isinstance(a, float) or isinstance(a, type(None)))), args))
if ((not int_args) and (not float_args)):
raise StreamlitAPIException(('All arguments must be of the same type.\n`value` has %(value_type)s type.\n`min_value` has %(min_type)s type.\n`max_value` has %(max_type)s type.' % {'value_type': type(value).__name__, 'min_type': type(min_value).__name__, 'max_type': type(max_value).__name__}))
all_ints = (int_value and int_args)
all_floats = (float_value and float_args)
if ((not all_ints) and (not all_floats)):
raise StreamlitAPIException(('All numerical arguments must be of the same type.\n`value` has %(value_type)s type.\n`min_value` has %(min_type)s type.\n`max_value` has %(max_type)s type.\n`step` has %(step_type)s type.' % {'value_type': type(value).__name__, 'min_type': type(min_value).__name__, 'max_type': type(max_value).__name__, 'step_type': type(step).__name__}))
if ((min_value and (min_value > value)) or (max_value and (max_value < value))):
raise StreamlitAPIException(('The default `value` of %(value)s must lie between the `min_value` of %(min)s and the `max_value` of %(max)s, inclusively.' % {'value': value, 'min': min_value, 'max': max_value}))
try:
if all_ints:
if (min_value is not None):
JSNumber.validate_int_bounds(min_value, '`min_value`')
if (max_value is not None):
JSNumber.validate_int_bounds(max_value, '`max_value`')
if (step is not None):
JSNumber.validate_int_bounds(step, '`step`')
JSNumber.validate_int_bounds(value, '`value`')
else:
if (min_value is not None):
JSNumber.validate_float_bounds(min_value, '`min_value`')
if (max_value is not None):
JSNumber.validate_float_bounds(max_value, '`max_value`')
if (step is not None):
JSNumber.validate_float_bounds(step, '`step`')
JSNumber.validate_float_bounds(value, '`value`')
except JSNumberBoundsException as e:
raise StreamlitAPIException(str(e))
number_input = element.number_input
number_input.data_type = (NumberInput.INT if all_ints else NumberInput.FLOAT)
number_input.label = label
number_input.default = value
if (min_value is not None):
number_input.min = min_value
number_input.has_min = True
if (max_value is not None):
number_input.max = max_value
number_input.has_max = True
if (step is not None):
number_input.step = step
if (format is not None):
number_input.format = format
ui_value = _get_widget_ui_value('number_input', element, user_key=key)
return (ui_value if (ui_value is not None) else value) | -85,386,675,137,491,120 | Display a numeric input widget.
Parameters
----------
label : str or None
A short label explaining to the user what this input is for.
min_value : int or float or None
The minimum permitted value.
If None, there will be no minimum.
max_value : int or float or None
The maximum permitted value.
If None, there will be no maximum.
value : int or float or None
The value of this widget when it first renders.
Defaults to min_value, or 0.0 if min_value is None
step : int or float or None
The stepping interval.
Defaults to 1 if the value is an int, 0.01 otherwise.
If the value is not specified, the format parameter will be used.
format : str or None
A printf-style format string controlling how the interface should
display numbers. Output must be purely numeric. This does not impact
the return value. Valid formatters: %d %e %f %g %i
key : str
An optional string to use as the unique key for the widget.
If this is omitted, a key will be generated for the widget
based on its content. Multiple widgets of the same type may
not share the same key.
Returns
-------
int or float
The current value of the numeric input widget. The return type
will match the data type of the value parameter.
Example
-------
>>> number = st.number_input('Insert a number')
>>> st.write('The current number is ', number) | lib/streamlit/DeltaGenerator.py | number_input | OakNorthAI/streamlit-base | python | @_with_element
def number_input(self, element, label, min_value=None, max_value=None, value=NoValue(), step=None, format=None, key=None):
"Display a numeric input widget.\n\n Parameters\n ----------\n label : str or None\n A short label explaining to the user what this input is for.\n min_value : int or float or None\n The minimum permitted value.\n If None, there will be no minimum.\n max_value : int or float or None\n The maximum permitted value.\n If None, there will be no maximum.\n value : int or float or None\n The value of this widget when it first renders.\n Defaults to min_value, or 0.0 if min_value is None\n step : int or float or None\n The stepping interval.\n Defaults to 1 if the value is an int, 0.01 otherwise.\n If the value is not specified, the format parameter will be used.\n format : str or None\n A printf-style format string controlling how the interface should\n display numbers. Output must be purely numeric. This does not impact\n the return value. Valid formatters: %d %e %f %g %i\n key : str\n An optional string to use as the unique key for the widget.\n If this is omitted, a key will be generated for the widget\n based on its content. Multiple widgets of the same type may\n not share the same key.\n\n Returns\n -------\n int or float\n The current value of the numeric input widget. The return type\n will match the data type of the value parameter.\n\n Example\n -------\n >>> number = st.number_input('Insert a number')\n >>> st.write('The current number is ', number)\n "
if isinstance(value, NoValue):
if min_value:
value = min_value
else:
value = 0.0
int_value = isinstance(value, numbers.Integral)
float_value = isinstance(value, float)
if (value is None):
raise StreamlitAPIException('Default value for number_input should be an int or a float.')
else:
if (format is None):
format = ('%d' if int_value else '%0.2f')
if ((format in ['%d', '%u', '%i']) and float_value):
import streamlit as st
st.warning('Warning: NumberInput value below is float, but format {} displays as integer.'.format(format))
if (step is None):
step = (1 if int_value else 0.01)
try:
float((format % 2))
except (TypeError, ValueError):
raise StreamlitAPIException(('Format string for st.number_input contains invalid characters: %s' % format))
args = [min_value, max_value, step]
int_args = all(map((lambda a: (isinstance(a, numbers.Integral) or isinstance(a, type(None)))), args))
float_args = all(map((lambda a: (isinstance(a, float) or isinstance(a, type(None)))), args))
if ((not int_args) and (not float_args)):
raise StreamlitAPIException(('All arguments must be of the same type.\n`value` has %(value_type)s type.\n`min_value` has %(min_type)s type.\n`max_value` has %(max_type)s type.' % {'value_type': type(value).__name__, 'min_type': type(min_value).__name__, 'max_type': type(max_value).__name__}))
all_ints = (int_value and int_args)
all_floats = (float_value and float_args)
if ((not all_ints) and (not all_floats)):
raise StreamlitAPIException(('All numerical arguments must be of the same type.\n`value` has %(value_type)s type.\n`min_value` has %(min_type)s type.\n`max_value` has %(max_type)s type.\n`step` has %(step_type)s type.' % {'value_type': type(value).__name__, 'min_type': type(min_value).__name__, 'max_type': type(max_value).__name__, 'step_type': type(step).__name__}))
if ((min_value and (min_value > value)) or (max_value and (max_value < value))):
raise StreamlitAPIException(('The default `value` of %(value)s must lie between the `min_value` of %(min)s and the `max_value` of %(max)s, inclusively.' % {'value': value, 'min': min_value, 'max': max_value}))
try:
if all_ints:
if (min_value is not None):
JSNumber.validate_int_bounds(min_value, '`min_value`')
if (max_value is not None):
JSNumber.validate_int_bounds(max_value, '`max_value`')
if (step is not None):
JSNumber.validate_int_bounds(step, '`step`')
JSNumber.validate_int_bounds(value, '`value`')
else:
if (min_value is not None):
JSNumber.validate_float_bounds(min_value, '`min_value`')
if (max_value is not None):
JSNumber.validate_float_bounds(max_value, '`max_value`')
if (step is not None):
JSNumber.validate_float_bounds(step, '`step`')
JSNumber.validate_float_bounds(value, '`value`')
except JSNumberBoundsException as e:
raise StreamlitAPIException(str(e))
number_input = element.number_input
number_input.data_type = (NumberInput.INT if all_ints else NumberInput.FLOAT)
number_input.label = label
number_input.default = value
if (min_value is not None):
number_input.min = min_value
number_input.has_min = True
if (max_value is not None):
number_input.max = max_value
number_input.has_max = True
if (step is not None):
number_input.step = step
if (format is not None):
number_input.format = format
ui_value = _get_widget_ui_value('number_input', element, user_key=key)
return (ui_value if (ui_value is not None) else value) |
@_with_element
def progress(self, element, value):
'Display a progress bar.\n\n Parameters\n ----------\n value : int or float\n 0 <= value <= 100 for int\n\n 0.0 <= value <= 1.0 for float\n\n Example\n -------\n Here is an example of a progress bar increasing over time:\n\n >>> import time\n >>>\n >>> my_bar = st.progress(0)\n >>>\n >>> for percent_complete in range(100):\n ... time.sleep(0.1)\n ... my_bar.progress(percent_complete + 1)\n\n '
if isinstance(value, float):
if (0.0 <= value <= 1.0):
element.progress.value = int((value * 100))
else:
raise StreamlitAPIException(('Progress Value has invalid value [0.0, 1.0]: %f' % value))
elif isinstance(value, int):
if (0 <= value <= 100):
element.progress.value = value
else:
raise StreamlitAPIException(('Progress Value has invalid value [0, 100]: %d' % value))
else:
raise StreamlitAPIException(('Progress Value has invalid type: %s' % type(value).__name__)) | -3,351,466,489,674,978,300 | Display a progress bar.
Parameters
----------
value : int or float
0 <= value <= 100 for int
0.0 <= value <= 1.0 for float
Example
-------
Here is an example of a progress bar increasing over time:
>>> import time
>>>
>>> my_bar = st.progress(0)
>>>
>>> for percent_complete in range(100):
... time.sleep(0.1)
... my_bar.progress(percent_complete + 1) | lib/streamlit/DeltaGenerator.py | progress | OakNorthAI/streamlit-base | python | @_with_element
def progress(self, element, value):
'Display a progress bar.\n\n Parameters\n ----------\n value : int or float\n 0 <= value <= 100 for int\n\n 0.0 <= value <= 1.0 for float\n\n Example\n -------\n Here is an example of a progress bar increasing over time:\n\n >>> import time\n >>>\n >>> my_bar = st.progress(0)\n >>>\n >>> for percent_complete in range(100):\n ... time.sleep(0.1)\n ... my_bar.progress(percent_complete + 1)\n\n '
if isinstance(value, float):
if (0.0 <= value <= 1.0):
element.progress.value = int((value * 100))
else:
raise StreamlitAPIException(('Progress Value has invalid value [0.0, 1.0]: %f' % value))
elif isinstance(value, int):
if (0 <= value <= 100):
element.progress.value = value
else:
raise StreamlitAPIException(('Progress Value has invalid value [0, 100]: %d' % value))
else:
raise StreamlitAPIException(('Progress Value has invalid type: %s' % type(value).__name__)) |
@_with_element
def empty(self, element):
'Add a placeholder to the app.\n\n The placeholder can be filled any time by calling methods on the return\n value.\n\n Example\n -------\n >>> my_placeholder = st.empty()\n >>>\n >>> # Now replace the placeholder with some text:\n >>> my_placeholder.text("Hello world!")\n >>>\n >>> # And replace the text with an image:\n >>> my_placeholder.image(my_image_bytes)\n\n '
element.empty.unused = True | -2,141,839,062,786,735,400 | Add a placeholder to the app.
The placeholder can be filled any time by calling methods on the return
value.
Example
-------
>>> my_placeholder = st.empty()
>>>
>>> # Now replace the placeholder with some text:
>>> my_placeholder.text("Hello world!")
>>>
>>> # And replace the text with an image:
>>> my_placeholder.image(my_image_bytes) | lib/streamlit/DeltaGenerator.py | empty | OakNorthAI/streamlit-base | python | @_with_element
def empty(self, element):
'Add a placeholder to the app.\n\n The placeholder can be filled any time by calling methods on the return\n value.\n\n Example\n -------\n >>> my_placeholder = st.empty()\n >>>\n >>> # Now replace the placeholder with some text:\n >>> my_placeholder.text("Hello world!")\n >>>\n >>> # And replace the text with an image:\n >>> my_placeholder.image(my_image_bytes)\n\n '
element.empty.unused = True |
@_with_element
def map(self, element, data=None, zoom=None, use_container_width=True):
"Display a map with points on it.\n\n This is a wrapper around st.pydeck_chart to quickly create scatterplot\n charts on top of a map, with auto-centering and auto-zoom.\n\n When using this command, we advise all users to use a personal Mapbox\n token. This ensures the map tiles used in this chart are more\n robust. You can do this with the mapbox.token config option.\n\n To get a token for yourself, create an account at\n https://mapbox.com. It's free! (for moderate usage levels) See\n https://docs.streamlit.io/en/latest/cli.html#view-all-config-options for more\n info on how to set config options.\n\n Parameters\n ----------\n data : pandas.DataFrame, pandas.Styler, numpy.ndarray, Iterable, dict,\n or None\n The data to be plotted. Must have columns called 'lat', 'lon',\n 'latitude', or 'longitude'.\n zoom : int\n Zoom level as specified in\n https://wiki.openstreetmap.org/wiki/Zoom_levels\n\n Example\n -------\n >>> import pandas as pd\n >>> import numpy as np\n >>>\n >>> df = pd.DataFrame(\n ... np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n ... columns=['lat', 'lon'])\n >>>\n >>> st.map(df)\n\n .. output::\n https://share.streamlit.io/0.53.0-SULT/index.html?id=9gTiomqPEbvHY2huTLoQtH\n height: 600px\n\n "
import streamlit.elements.map as streamlit_map
element.deck_gl_json_chart.json = streamlit_map.to_deckgl_json(data, zoom)
element.deck_gl_json_chart.use_container_width = use_container_width | -8,430,331,400,841,698,000 | Display a map with points on it.
This is a wrapper around st.pydeck_chart to quickly create scatterplot
charts on top of a map, with auto-centering and auto-zoom.
When using this command, we advise all users to use a personal Mapbox
token. This ensures the map tiles used in this chart are more
robust. You can do this with the mapbox.token config option.
To get a token for yourself, create an account at
https://mapbox.com. It's free! (for moderate usage levels) See
https://docs.streamlit.io/en/latest/cli.html#view-all-config-options for more
info on how to set config options.
Parameters
----------
data : pandas.DataFrame, pandas.Styler, numpy.ndarray, Iterable, dict,
or None
The data to be plotted. Must have columns called 'lat', 'lon',
'latitude', or 'longitude'.
zoom : int
Zoom level as specified in
https://wiki.openstreetmap.org/wiki/Zoom_levels
Example
-------
>>> import pandas as pd
>>> import numpy as np
>>>
>>> df = pd.DataFrame(
... np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],
... columns=['lat', 'lon'])
>>>
>>> st.map(df)
.. output::
https://share.streamlit.io/0.53.0-SULT/index.html?id=9gTiomqPEbvHY2huTLoQtH
height: 600px | lib/streamlit/DeltaGenerator.py | map | OakNorthAI/streamlit-base | python | @_with_element
def map(self, element, data=None, zoom=None, use_container_width=True):
"Display a map with points on it.\n\n This is a wrapper around st.pydeck_chart to quickly create scatterplot\n charts on top of a map, with auto-centering and auto-zoom.\n\n When using this command, we advise all users to use a personal Mapbox\n token. This ensures the map tiles used in this chart are more\n robust. You can do this with the mapbox.token config option.\n\n To get a token for yourself, create an account at\n https://mapbox.com. It's free! (for moderate usage levels) See\n https://docs.streamlit.io/en/latest/cli.html#view-all-config-options for more\n info on how to set config options.\n\n Parameters\n ----------\n data : pandas.DataFrame, pandas.Styler, numpy.ndarray, Iterable, dict,\n or None\n The data to be plotted. Must have columns called 'lat', 'lon',\n 'latitude', or 'longitude'.\n zoom : int\n Zoom level as specified in\n https://wiki.openstreetmap.org/wiki/Zoom_levels\n\n Example\n -------\n >>> import pandas as pd\n >>> import numpy as np\n >>>\n >>> df = pd.DataFrame(\n ... np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n ... columns=['lat', 'lon'])\n >>>\n >>> st.map(df)\n\n .. output::\n https://share.streamlit.io/0.53.0-SULT/index.html?id=9gTiomqPEbvHY2huTLoQtH\n height: 600px\n\n "
import streamlit.elements.map as streamlit_map
element.deck_gl_json_chart.json = streamlit_map.to_deckgl_json(data, zoom)
element.deck_gl_json_chart.use_container_width = use_container_width |
@_with_element
def deck_gl_chart(self, element, spec=None, use_container_width=False, **kwargs):
'Draw a map chart using the Deck.GL library.\n\n This API closely follows Deck.GL\'s JavaScript API\n (https://deck.gl/#/documentation), with a few small adaptations and\n some syntax sugar.\n\n When using this command, we advise all users to use a personal Mapbox\n token. This ensures the map tiles used in this chart are more\n robust. You can do this with the mapbox.token config option.\n\n To get a token for yourself, create an account at\n https://mapbox.com. It\'s free! (for moderate usage levels) See\n https://docs.streamlit.io/en/latest/cli.html#view-all-config-options for more\n info on how to set config options.\n\n Parameters\n ----------\n\n spec : dict\n Keys in this dict can be:\n\n - Anything accepted by Deck.GL\'s top level element, such as\n "viewport", "height", "width".\n\n - "layers": a list of dicts containing information to build a new\n Deck.GL layer in the map. Each layer accepts the following keys:\n\n - "data" : DataFrame\n The data for the current layer.\n\n - "type" : str\n One of the Deck.GL layer types that are currently supported\n by Streamlit: ArcLayer, GridLayer, HexagonLayer, LineLayer,\n PointCloudLayer, ScatterplotLayer, ScreenGridLayer,\n TextLayer.\n\n - Plus anything accepted by that layer type. The exact keys that\n are accepted depend on the "type" field, above. For example, for\n ScatterplotLayer you can set fields like "opacity", "filled",\n "stroked", and so on.\n\n In addition, Deck.GL"s documentation for ScatterplotLayer\n shows you can use a "getRadius" field to individually set\n the radius of each circle in the plot. So here you would\n set "getRadius": "my_column" where "my_column" is the name\n of the column containing the radius data.\n\n For things like "getPosition", which expect an array rather\n than a scalar value, we provide alternates that make the\n API simpler to use with dataframes:\n\n - Instead of "getPosition" : use "getLatitude" and\n "getLongitude".\n - Instead of "getSourcePosition" : use "getLatitude" and\n "getLongitude".\n - Instead of "getTargetPosition" : use "getTargetLatitude"\n and "getTargetLongitude".\n - Instead of "getColor" : use "getColorR", "getColorG",\n "getColorB", and (optionally) "getColorA", for red,\n green, blue and alpha.\n - Instead of "getSourceColor" : use the same as above.\n - Instead of "getTargetColor" : use "getTargetColorR", etc.\n\n use_container_width : bool\n If True, set the chart width to the column width. This takes\n precedence over the figure\'s native `width` value.\n\n **kwargs : any\n Same as spec, but as keywords. Keys are "unflattened" at the\n underscore characters. For example, foo_bar_baz=123 becomes\n foo={\'bar\': {\'bar\': 123}}.\n\n Example\n -------\n >>> st.deck_gl_chart(\n ... viewport={\n ... \'latitude\': 37.76,\n ... \'longitude\': -122.4,\n ... \'zoom\': 11,\n ... \'pitch\': 50,\n ... },\n ... layers=[{\n ... \'type\': \'HexagonLayer\',\n ... \'data\': df,\n ... \'radius\': 200,\n ... \'elevationScale\': 4,\n ... \'elevationRange\': [0, 1000],\n ... \'pickable\': True,\n ... \'extruded\': True,\n ... }, {\n ... \'type\': \'ScatterplotLayer\',\n ... \'data\': df,\n ... }])\n ...\n\n .. output::\n https://share.streamlit.io/0.50.0-td2L/index.html?id=3GfRygWqxuqB5UitZLjz9i\n height: 530px\n\n '
suppress_deprecation_warning = config.get_option('global.suppressDeprecationWarnings')
if (not suppress_deprecation_warning):
import streamlit as st
st.warning('\n The `deck_gl_chart` widget is deprecated and will be removed on\n 2020-05-01. To render a map, you should use `st.pydeck_chart` widget.\n ')
import streamlit.elements.deck_gl as deck_gl
deck_gl.marshall(element.deck_gl_chart, spec, use_container_width, **kwargs) | -622,602,971,289,724,700 | Draw a map chart using the Deck.GL library.
This API closely follows Deck.GL's JavaScript API
(https://deck.gl/#/documentation), with a few small adaptations and
some syntax sugar.
When using this command, we advise all users to use a personal Mapbox
token. This ensures the map tiles used in this chart are more
robust. You can do this with the mapbox.token config option.
To get a token for yourself, create an account at
https://mapbox.com. It's free! (for moderate usage levels) See
https://docs.streamlit.io/en/latest/cli.html#view-all-config-options for more
info on how to set config options.
Parameters
----------
spec : dict
Keys in this dict can be:
- Anything accepted by Deck.GL's top level element, such as
"viewport", "height", "width".
- "layers": a list of dicts containing information to build a new
Deck.GL layer in the map. Each layer accepts the following keys:
- "data" : DataFrame
The data for the current layer.
- "type" : str
One of the Deck.GL layer types that are currently supported
by Streamlit: ArcLayer, GridLayer, HexagonLayer, LineLayer,
PointCloudLayer, ScatterplotLayer, ScreenGridLayer,
TextLayer.
- Plus anything accepted by that layer type. The exact keys that
are accepted depend on the "type" field, above. For example, for
ScatterplotLayer you can set fields like "opacity", "filled",
"stroked", and so on.
In addition, Deck.GL"s documentation for ScatterplotLayer
shows you can use a "getRadius" field to individually set
the radius of each circle in the plot. So here you would
set "getRadius": "my_column" where "my_column" is the name
of the column containing the radius data.
For things like "getPosition", which expect an array rather
than a scalar value, we provide alternates that make the
API simpler to use with dataframes:
- Instead of "getPosition" : use "getLatitude" and
"getLongitude".
- Instead of "getSourcePosition" : use "getLatitude" and
"getLongitude".
- Instead of "getTargetPosition" : use "getTargetLatitude"
and "getTargetLongitude".
- Instead of "getColor" : use "getColorR", "getColorG",
"getColorB", and (optionally) "getColorA", for red,
green, blue and alpha.
- Instead of "getSourceColor" : use the same as above.
- Instead of "getTargetColor" : use "getTargetColorR", etc.
use_container_width : bool
If True, set the chart width to the column width. This takes
precedence over the figure's native `width` value.
**kwargs : any
Same as spec, but as keywords. Keys are "unflattened" at the
underscore characters. For example, foo_bar_baz=123 becomes
foo={'bar': {'bar': 123}}.
Example
-------
>>> st.deck_gl_chart(
... viewport={
... 'latitude': 37.76,
... 'longitude': -122.4,
... 'zoom': 11,
... 'pitch': 50,
... },
... layers=[{
... 'type': 'HexagonLayer',
... 'data': df,
... 'radius': 200,
... 'elevationScale': 4,
... 'elevationRange': [0, 1000],
... 'pickable': True,
... 'extruded': True,
... }, {
... 'type': 'ScatterplotLayer',
... 'data': df,
... }])
...
.. output::
https://share.streamlit.io/0.50.0-td2L/index.html?id=3GfRygWqxuqB5UitZLjz9i
height: 530px | lib/streamlit/DeltaGenerator.py | deck_gl_chart | OakNorthAI/streamlit-base | python | @_with_element
def deck_gl_chart(self, element, spec=None, use_container_width=False, **kwargs):
'Draw a map chart using the Deck.GL library.\n\n This API closely follows Deck.GL\'s JavaScript API\n (https://deck.gl/#/documentation), with a few small adaptations and\n some syntax sugar.\n\n When using this command, we advise all users to use a personal Mapbox\n token. This ensures the map tiles used in this chart are more\n robust. You can do this with the mapbox.token config option.\n\n To get a token for yourself, create an account at\n https://mapbox.com. It\'s free! (for moderate usage levels) See\n https://docs.streamlit.io/en/latest/cli.html#view-all-config-options for more\n info on how to set config options.\n\n Parameters\n ----------\n\n spec : dict\n Keys in this dict can be:\n\n - Anything accepted by Deck.GL\'s top level element, such as\n "viewport", "height", "width".\n\n - "layers": a list of dicts containing information to build a new\n Deck.GL layer in the map. Each layer accepts the following keys:\n\n - "data" : DataFrame\n The data for the current layer.\n\n - "type" : str\n One of the Deck.GL layer types that are currently supported\n by Streamlit: ArcLayer, GridLayer, HexagonLayer, LineLayer,\n PointCloudLayer, ScatterplotLayer, ScreenGridLayer,\n TextLayer.\n\n - Plus anything accepted by that layer type. The exact keys that\n are accepted depend on the "type" field, above. For example, for\n ScatterplotLayer you can set fields like "opacity", "filled",\n "stroked", and so on.\n\n In addition, Deck.GL"s documentation for ScatterplotLayer\n shows you can use a "getRadius" field to individually set\n the radius of each circle in the plot. So here you would\n set "getRadius": "my_column" where "my_column" is the name\n of the column containing the radius data.\n\n For things like "getPosition", which expect an array rather\n than a scalar value, we provide alternates that make the\n API simpler to use with dataframes:\n\n - Instead of "getPosition" : use "getLatitude" and\n "getLongitude".\n - Instead of "getSourcePosition" : use "getLatitude" and\n "getLongitude".\n - Instead of "getTargetPosition" : use "getTargetLatitude"\n and "getTargetLongitude".\n - Instead of "getColor" : use "getColorR", "getColorG",\n "getColorB", and (optionally) "getColorA", for red,\n green, blue and alpha.\n - Instead of "getSourceColor" : use the same as above.\n - Instead of "getTargetColor" : use "getTargetColorR", etc.\n\n use_container_width : bool\n If True, set the chart width to the column width. This takes\n precedence over the figure\'s native `width` value.\n\n **kwargs : any\n Same as spec, but as keywords. Keys are "unflattened" at the\n underscore characters. For example, foo_bar_baz=123 becomes\n foo={\'bar\': {\'bar\': 123}}.\n\n Example\n -------\n >>> st.deck_gl_chart(\n ... viewport={\n ... \'latitude\': 37.76,\n ... \'longitude\': -122.4,\n ... \'zoom\': 11,\n ... \'pitch\': 50,\n ... },\n ... layers=[{\n ... \'type\': \'HexagonLayer\',\n ... \'data\': df,\n ... \'radius\': 200,\n ... \'elevationScale\': 4,\n ... \'elevationRange\': [0, 1000],\n ... \'pickable\': True,\n ... \'extruded\': True,\n ... }, {\n ... \'type\': \'ScatterplotLayer\',\n ... \'data\': df,\n ... }])\n ...\n\n .. output::\n https://share.streamlit.io/0.50.0-td2L/index.html?id=3GfRygWqxuqB5UitZLjz9i\n height: 530px\n\n '
suppress_deprecation_warning = config.get_option('global.suppressDeprecationWarnings')
if (not suppress_deprecation_warning):
import streamlit as st
st.warning('\n The `deck_gl_chart` widget is deprecated and will be removed on\n 2020-05-01. To render a map, you should use `st.pydeck_chart` widget.\n ')
import streamlit.elements.deck_gl as deck_gl
deck_gl.marshall(element.deck_gl_chart, spec, use_container_width, **kwargs) |
@_with_element
def pydeck_chart(self, element, pydeck_obj=None, use_container_width=False):
"Draw a chart using the PyDeck library.\n\n This supports 3D maps, point clouds, and more! More info about PyDeck\n at https://deckgl.readthedocs.io/en/latest/.\n\n These docs are also quite useful:\n\n - DeckGL docs: https://github.com/uber/deck.gl/tree/master/docs\n - DeckGL JSON docs: https://github.com/uber/deck.gl/tree/master/modules/json\n\n When using this command, we advise all users to use a personal Mapbox\n token. This ensures the map tiles used in this chart are more\n robust. You can do this with the mapbox.token config option.\n\n To get a token for yourself, create an account at\n https://mapbox.com. It's free! (for moderate usage levels) See\n https://docs.streamlit.io/en/latest/cli.html#view-all-config-options for more\n info on how to set config options.\n\n Parameters\n ----------\n spec: pydeck.Deck or None\n Object specifying the PyDeck chart to draw.\n\n Example\n -------\n Here's a chart using a HexagonLayer and a ScatterplotLayer on top of\n the light map style:\n\n >>> df = pd.DataFrame(\n ... np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n ... columns=['lat', 'lon'])\n >>>\n >>> st.pydeck_chart(pdk.Deck(\n ... map_style='mapbox://styles/mapbox/light-v9',\n ... initial_view_state=pdk.ViewState(\n ... latitude=37.76,\n ... longitude=-122.4,\n ... zoom=11,\n ... pitch=50,\n ... ),\n ... layers=[\n ... pdk.Layer(\n ... 'HexagonLayer',\n ... data=df,\n ... get_position='[lon, lat]',\n ... radius=200,\n ... elevation_scale=4,\n ... elevation_range=[0, 1000],\n ... pickable=True,\n ... extruded=True,\n ... ),\n ... pdk.Layer(\n ... 'ScatterplotLayer',\n ... data=df,\n ... get_position='[lon, lat]',\n ... get_color='[200, 30, 0, 160]',\n ... get_radius=200,\n ... ),\n ... ],\n ... ))\n\n .. output::\n https://share.streamlit.io/0.25.0-2JkNY/index.html?id=ASTdExBpJ1WxbGceneKN1i\n height: 530px\n\n "
import streamlit.elements.deck_gl_json_chart as deck_gl_json_chart
deck_gl_json_chart.marshall(element, pydeck_obj, use_container_width) | -2,861,997,039,057,345,500 | Draw a chart using the PyDeck library.
This supports 3D maps, point clouds, and more! More info about PyDeck
at https://deckgl.readthedocs.io/en/latest/.
These docs are also quite useful:
- DeckGL docs: https://github.com/uber/deck.gl/tree/master/docs
- DeckGL JSON docs: https://github.com/uber/deck.gl/tree/master/modules/json
When using this command, we advise all users to use a personal Mapbox
token. This ensures the map tiles used in this chart are more
robust. You can do this with the mapbox.token config option.
To get a token for yourself, create an account at
https://mapbox.com. It's free! (for moderate usage levels) See
https://docs.streamlit.io/en/latest/cli.html#view-all-config-options for more
info on how to set config options.
Parameters
----------
spec: pydeck.Deck or None
Object specifying the PyDeck chart to draw.
Example
-------
Here's a chart using a HexagonLayer and a ScatterplotLayer on top of
the light map style:
>>> df = pd.DataFrame(
... np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],
... columns=['lat', 'lon'])
>>>
>>> st.pydeck_chart(pdk.Deck(
... map_style='mapbox://styles/mapbox/light-v9',
... initial_view_state=pdk.ViewState(
... latitude=37.76,
... longitude=-122.4,
... zoom=11,
... pitch=50,
... ),
... layers=[
... pdk.Layer(
... 'HexagonLayer',
... data=df,
... get_position='[lon, lat]',
... radius=200,
... elevation_scale=4,
... elevation_range=[0, 1000],
... pickable=True,
... extruded=True,
... ),
... pdk.Layer(
... 'ScatterplotLayer',
... data=df,
... get_position='[lon, lat]',
... get_color='[200, 30, 0, 160]',
... get_radius=200,
... ),
... ],
... ))
.. output::
https://share.streamlit.io/0.25.0-2JkNY/index.html?id=ASTdExBpJ1WxbGceneKN1i
height: 530px | lib/streamlit/DeltaGenerator.py | pydeck_chart | OakNorthAI/streamlit-base | python | @_with_element
def pydeck_chart(self, element, pydeck_obj=None, use_container_width=False):
"Draw a chart using the PyDeck library.\n\n This supports 3D maps, point clouds, and more! More info about PyDeck\n at https://deckgl.readthedocs.io/en/latest/.\n\n These docs are also quite useful:\n\n - DeckGL docs: https://github.com/uber/deck.gl/tree/master/docs\n - DeckGL JSON docs: https://github.com/uber/deck.gl/tree/master/modules/json\n\n When using this command, we advise all users to use a personal Mapbox\n token. This ensures the map tiles used in this chart are more\n robust. You can do this with the mapbox.token config option.\n\n To get a token for yourself, create an account at\n https://mapbox.com. It's free! (for moderate usage levels) See\n https://docs.streamlit.io/en/latest/cli.html#view-all-config-options for more\n info on how to set config options.\n\n Parameters\n ----------\n spec: pydeck.Deck or None\n Object specifying the PyDeck chart to draw.\n\n Example\n -------\n Here's a chart using a HexagonLayer and a ScatterplotLayer on top of\n the light map style:\n\n >>> df = pd.DataFrame(\n ... np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n ... columns=['lat', 'lon'])\n >>>\n >>> st.pydeck_chart(pdk.Deck(\n ... map_style='mapbox://styles/mapbox/light-v9',\n ... initial_view_state=pdk.ViewState(\n ... latitude=37.76,\n ... longitude=-122.4,\n ... zoom=11,\n ... pitch=50,\n ... ),\n ... layers=[\n ... pdk.Layer(\n ... 'HexagonLayer',\n ... data=df,\n ... get_position='[lon, lat]',\n ... radius=200,\n ... elevation_scale=4,\n ... elevation_range=[0, 1000],\n ... pickable=True,\n ... extruded=True,\n ... ),\n ... pdk.Layer(\n ... 'ScatterplotLayer',\n ... data=df,\n ... get_position='[lon, lat]',\n ... get_color='[200, 30, 0, 160]',\n ... get_radius=200,\n ... ),\n ... ],\n ... ))\n\n .. output::\n https://share.streamlit.io/0.25.0-2JkNY/index.html?id=ASTdExBpJ1WxbGceneKN1i\n height: 530px\n\n "
import streamlit.elements.deck_gl_json_chart as deck_gl_json_chart
deck_gl_json_chart.marshall(element, pydeck_obj, use_container_width) |
@_with_element
def table(self, element, data=None):
"Display a static table.\n\n This differs from `st.dataframe` in that the table in this case is\n static: its entire contents are just laid out directly on the page.\n\n Parameters\n ----------\n data : pandas.DataFrame, pandas.Styler, numpy.ndarray, Iterable, dict,\n or None\n The table data.\n\n Example\n -------\n >>> df = pd.DataFrame(\n ... np.random.randn(10, 5),\n ... columns=('col %d' % i for i in range(5)))\n ...\n >>> st.table(df)\n\n .. output::\n https://share.streamlit.io/0.25.0-2JkNY/index.html?id=KfZvDMprL4JFKXbpjD3fpq\n height: 480px\n\n "
import streamlit.elements.data_frame_proto as data_frame_proto
data_frame_proto.marshall_data_frame(data, element.table) | -684,845,808,264,782,800 | Display a static table.
This differs from `st.dataframe` in that the table in this case is
static: its entire contents are just laid out directly on the page.
Parameters
----------
data : pandas.DataFrame, pandas.Styler, numpy.ndarray, Iterable, dict,
or None
The table data.
Example
-------
>>> df = pd.DataFrame(
... np.random.randn(10, 5),
... columns=('col %d' % i for i in range(5)))
...
>>> st.table(df)
.. output::
https://share.streamlit.io/0.25.0-2JkNY/index.html?id=KfZvDMprL4JFKXbpjD3fpq
height: 480px | lib/streamlit/DeltaGenerator.py | table | OakNorthAI/streamlit-base | python | @_with_element
def table(self, element, data=None):
"Display a static table.\n\n This differs from `st.dataframe` in that the table in this case is\n static: its entire contents are just laid out directly on the page.\n\n Parameters\n ----------\n data : pandas.DataFrame, pandas.Styler, numpy.ndarray, Iterable, dict,\n or None\n The table data.\n\n Example\n -------\n >>> df = pd.DataFrame(\n ... np.random.randn(10, 5),\n ... columns=('col %d' % i for i in range(5)))\n ...\n >>> st.table(df)\n\n .. output::\n https://share.streamlit.io/0.25.0-2JkNY/index.html?id=KfZvDMprL4JFKXbpjD3fpq\n height: 480px\n\n "
import streamlit.elements.data_frame_proto as data_frame_proto
data_frame_proto.marshall_data_frame(data, element.table) |
def add_rows(self, data=None, **kwargs):
"Concatenate a dataframe to the bottom of the current one.\n\n Parameters\n ----------\n data : pandas.DataFrame, pandas.Styler, numpy.ndarray, Iterable, dict,\n or None\n Table to concat. Optional.\n\n **kwargs : pandas.DataFrame, numpy.ndarray, Iterable, dict, or None\n The named dataset to concat. Optional. You can only pass in 1\n dataset (including the one in the data parameter).\n\n Example\n -------\n >>> df1 = pd.DataFrame(\n ... np.random.randn(50, 20),\n ... columns=('col %d' % i for i in range(20)))\n ...\n >>> my_table = st.table(df1)\n >>>\n >>> df2 = pd.DataFrame(\n ... np.random.randn(50, 20),\n ... columns=('col %d' % i for i in range(20)))\n ...\n >>> my_table.add_rows(df2)\n >>> # Now the table shown in the Streamlit app contains the data for\n >>> # df1 followed by the data for df2.\n\n You can do the same thing with plots. For example, if you want to add\n more data to a line chart:\n\n >>> # Assuming df1 and df2 from the example above still exist...\n >>> my_chart = st.line_chart(df1)\n >>> my_chart.add_rows(df2)\n >>> # Now the chart shown in the Streamlit app contains the data for\n >>> # df1 followed by the data for df2.\n\n And for plots whose datasets are named, you can pass the data with a\n keyword argument where the key is the name:\n\n >>> my_chart = st.vega_lite_chart({\n ... 'mark': 'line',\n ... 'encoding': {'x': 'a', 'y': 'b'},\n ... 'datasets': {\n ... 'some_fancy_name': df1, # <-- named dataset\n ... },\n ... 'data': {'name': 'some_fancy_name'},\n ... }),\n >>> my_chart.add_rows(some_fancy_name=df2) # <-- name used as keyword\n\n "
if ((self._container is None) or (self._cursor is None)):
return self
if (not self._cursor.is_locked):
raise StreamlitAPIException('Only existing elements can `add_rows`.')
if ((data is not None) and (len(kwargs) == 0)):
name = ''
elif (len(kwargs) == 1):
(name, data) = kwargs.popitem()
else:
raise StreamlitAPIException('Wrong number of arguments to add_rows().Command requires exactly one dataset')
if ((self._cursor.props['delta_type'] in DELTAS_TYPES_THAT_MELT_DATAFRAMES) and (self._cursor.props['last_index'] is None)):
st_method_name = self._cursor.props['delta_type']
st_method = getattr(self, st_method_name)
st_method(data, **kwargs)
return
(data, self._cursor.props['last_index']) = _maybe_melt_data_for_add_rows(data, self._cursor.props['delta_type'], self._cursor.props['last_index'])
msg = ForwardMsg_pb2.ForwardMsg()
msg.metadata.parent_block.container = self._container
msg.metadata.parent_block.path[:] = self._cursor.path
msg.metadata.delta_id = self._cursor.index
import streamlit.elements.data_frame_proto as data_frame_proto
data_frame_proto.marshall_data_frame(data, msg.delta.add_rows.data)
if name:
msg.delta.add_rows.name = name
msg.delta.add_rows.has_name = True
_enqueue_message(msg)
return self | 2,071,386,834,757,964,800 | Concatenate a dataframe to the bottom of the current one.
Parameters
----------
data : pandas.DataFrame, pandas.Styler, numpy.ndarray, Iterable, dict,
or None
Table to concat. Optional.
**kwargs : pandas.DataFrame, numpy.ndarray, Iterable, dict, or None
The named dataset to concat. Optional. You can only pass in 1
dataset (including the one in the data parameter).
Example
-------
>>> df1 = pd.DataFrame(
... np.random.randn(50, 20),
... columns=('col %d' % i for i in range(20)))
...
>>> my_table = st.table(df1)
>>>
>>> df2 = pd.DataFrame(
... np.random.randn(50, 20),
... columns=('col %d' % i for i in range(20)))
...
>>> my_table.add_rows(df2)
>>> # Now the table shown in the Streamlit app contains the data for
>>> # df1 followed by the data for df2.
You can do the same thing with plots. For example, if you want to add
more data to a line chart:
>>> # Assuming df1 and df2 from the example above still exist...
>>> my_chart = st.line_chart(df1)
>>> my_chart.add_rows(df2)
>>> # Now the chart shown in the Streamlit app contains the data for
>>> # df1 followed by the data for df2.
And for plots whose datasets are named, you can pass the data with a
keyword argument where the key is the name:
>>> my_chart = st.vega_lite_chart({
... 'mark': 'line',
... 'encoding': {'x': 'a', 'y': 'b'},
... 'datasets': {
... 'some_fancy_name': df1, # <-- named dataset
... },
... 'data': {'name': 'some_fancy_name'},
... }),
>>> my_chart.add_rows(some_fancy_name=df2) # <-- name used as keyword | lib/streamlit/DeltaGenerator.py | add_rows | OakNorthAI/streamlit-base | python | def add_rows(self, data=None, **kwargs):
"Concatenate a dataframe to the bottom of the current one.\n\n Parameters\n ----------\n data : pandas.DataFrame, pandas.Styler, numpy.ndarray, Iterable, dict,\n or None\n Table to concat. Optional.\n\n **kwargs : pandas.DataFrame, numpy.ndarray, Iterable, dict, or None\n The named dataset to concat. Optional. You can only pass in 1\n dataset (including the one in the data parameter).\n\n Example\n -------\n >>> df1 = pd.DataFrame(\n ... np.random.randn(50, 20),\n ... columns=('col %d' % i for i in range(20)))\n ...\n >>> my_table = st.table(df1)\n >>>\n >>> df2 = pd.DataFrame(\n ... np.random.randn(50, 20),\n ... columns=('col %d' % i for i in range(20)))\n ...\n >>> my_table.add_rows(df2)\n >>> # Now the table shown in the Streamlit app contains the data for\n >>> # df1 followed by the data for df2.\n\n You can do the same thing with plots. For example, if you want to add\n more data to a line chart:\n\n >>> # Assuming df1 and df2 from the example above still exist...\n >>> my_chart = st.line_chart(df1)\n >>> my_chart.add_rows(df2)\n >>> # Now the chart shown in the Streamlit app contains the data for\n >>> # df1 followed by the data for df2.\n\n And for plots whose datasets are named, you can pass the data with a\n keyword argument where the key is the name:\n\n >>> my_chart = st.vega_lite_chart({\n ... 'mark': 'line',\n ... 'encoding': {'x': 'a', 'y': 'b'},\n ... 'datasets': {\n ... 'some_fancy_name': df1, # <-- named dataset\n ... },\n ... 'data': {'name': 'some_fancy_name'},\n ... }),\n >>> my_chart.add_rows(some_fancy_name=df2) # <-- name used as keyword\n\n "
if ((self._container is None) or (self._cursor is None)):
return self
if (not self._cursor.is_locked):
raise StreamlitAPIException('Only existing elements can `add_rows`.')
if ((data is not None) and (len(kwargs) == 0)):
name =
elif (len(kwargs) == 1):
(name, data) = kwargs.popitem()
else:
raise StreamlitAPIException('Wrong number of arguments to add_rows().Command requires exactly one dataset')
if ((self._cursor.props['delta_type'] in DELTAS_TYPES_THAT_MELT_DATAFRAMES) and (self._cursor.props['last_index'] is None)):
st_method_name = self._cursor.props['delta_type']
st_method = getattr(self, st_method_name)
st_method(data, **kwargs)
return
(data, self._cursor.props['last_index']) = _maybe_melt_data_for_add_rows(data, self._cursor.props['delta_type'], self._cursor.props['last_index'])
msg = ForwardMsg_pb2.ForwardMsg()
msg.metadata.parent_block.container = self._container
msg.metadata.parent_block.path[:] = self._cursor.path
msg.metadata.delta_id = self._cursor.index
import streamlit.elements.data_frame_proto as data_frame_proto
data_frame_proto.marshall_data_frame(data, msg.delta.add_rows.data)
if name:
msg.delta.add_rows.name = name
msg.delta.add_rows.has_name = True
_enqueue_message(msg)
return self |
def zangle_to_quat(zangle):
'\n\t:param zangle in rad\n\t:return: quaternion\n\t'
return (Quaternion(axis=[0, 0, 1], angle=np.pi) * Quaternion(axis=[(- 1), 0, 0], angle=zangle)).elements | -907,394,938,173,475,800 | :param zangle in rad
:return: quaternion | multiworld/envs/mujoco/sawyer_xyz/pickPlace/sawyer_coffee.py | zangle_to_quat | Neo-X/R_multiworld | python | def zangle_to_quat(zangle):
'\n\t:param zangle in rad\n\t:return: quaternion\n\t'
return (Quaternion(axis=[0, 0, 1], angle=np.pi) * Quaternion(axis=[(- 1), 0, 0], angle=zangle)).elements |
def plot_runs(runs):
' Plot population evolutions\n '
ts = range(len(runs[0]))
cmap = plt.get_cmap('viridis')
for (i, r) in enumerate(runs):
(mean, var) = zip(*r)
(bm, cm) = zip(*mean)
(bv, cv) = zip(*var)
color = cmap((float(i) / len(runs)))
plt.errorbar(ts, bm, fmt='-', yerr=bv, c=color)
plt.errorbar(ts, cm, fmt='--', yerr=cv, c=color)
plt.title('population evolution overview')
plt.xlabel('time')
plt.ylabel('value')
plt.ylim((0, 1))
plt.plot(0, 0, '-', c='black', label='benefit value')
plt.plot(0, 0, '--', c='black', label='cost value')
plt.legend(loc='best')
plt.savefig('result.pdf')
plt.show() | -7,779,025,106,322,543,000 | Plot population evolutions | evolutionary_optimization.py | plot_runs | kpj/PySpaMo | python | def plot_runs(runs):
' \n '
ts = range(len(runs[0]))
cmap = plt.get_cmap('viridis')
for (i, r) in enumerate(runs):
(mean, var) = zip(*r)
(bm, cm) = zip(*mean)
(bv, cv) = zip(*var)
color = cmap((float(i) / len(runs)))
plt.errorbar(ts, bm, fmt='-', yerr=bv, c=color)
plt.errorbar(ts, cm, fmt='--', yerr=cv, c=color)
plt.title('population evolution overview')
plt.xlabel('time')
plt.ylabel('value')
plt.ylim((0, 1))
plt.plot(0, 0, '-', c='black', label='benefit value')
plt.plot(0, 0, '--', c='black', label='cost value')
plt.legend(loc='best')
plt.savefig('result.pdf')
plt.show() |
def work(i):
' Handle one optimization case\n '
opti = SnowdriftOptimizer()
return opti.run(20) | -7,797,655,574,561,887,000 | Handle one optimization case | evolutionary_optimization.py | work | kpj/PySpaMo | python | def work(i):
' \n '
opti = SnowdriftOptimizer()
return opti.run(20) |
def main():
' Setup environment\n '
core_num = int(((multiprocessing.cpu_count() * 4) / 5))
print(('Using %d cores' % core_num))
with multiprocessing.Pool(core_num) as p:
runs = [i for i in p.imap_unordered(work, range(10))]
plot_runs(runs) | -2,119,673,749,091,162,600 | Setup environment | evolutionary_optimization.py | main | kpj/PySpaMo | python | def main():
' \n '
core_num = int(((multiprocessing.cpu_count() * 4) / 5))
print(('Using %d cores' % core_num))
with multiprocessing.Pool(core_num) as p:
runs = [i for i in p.imap_unordered(work, range(10))]
plot_runs(runs) |
def __init__(self):
' Set some parameters\n '
self.mutation_probability = 0.02 | -3,959,449,045,668,069,400 | Set some parameters | evolutionary_optimization.py | __init__ | kpj/PySpaMo | python | def __init__(self):
' \n '
self.mutation_probability = 0.02 |
def init(self, size):
' Generate initial population\n '
raise NotImplementedError | -5,409,400,848,608,050,000 | Generate initial population | evolutionary_optimization.py | init | kpj/PySpaMo | python | def init(self, size):
' \n '
raise NotImplementedError |
def get_fitness(self, obj):
' Compute fitness of individual of population\n '
raise NotImplementedError | -4,544,634,260,429,295,600 | Compute fitness of individual of population | evolutionary_optimization.py | get_fitness | kpj/PySpaMo | python | def get_fitness(self, obj):
' \n '
raise NotImplementedError |
def mutate(self, obj):
' Mutate single individual\n '
raise NotImplementedError | 7,139,653,781,928,916,000 | Mutate single individual | evolutionary_optimization.py | mutate | kpj/PySpaMo | python | def mutate(self, obj):
' \n '
raise NotImplementedError |
def crossover(self, mom, dad):
' Generate offspring from parents\n '
raise NotImplementedError | 8,467,720,466,242,567,000 | Generate offspring from parents | evolutionary_optimization.py | crossover | kpj/PySpaMo | python | def crossover(self, mom, dad):
' \n '
raise NotImplementedError |
def run(self, size, max_iter=100):
' Let life begin\n '
population = self.init(size)
res = []
for _ in tqdm(range(max_iter)):
pop_fitness = [self.get_fitness(o) for o in population]
best_indiv = np.argpartition(pop_fitness, (- 2))[(- 2):]
(mom, dad) = population[best_indiv]
child = self.crossover(mom, dad)
worst_indiv = np.argmin(pop_fitness)
population[worst_indiv] = child
mut = (lambda o: (self.mutate(o) if (random.random() < self.mutation_probability) else o))
population = np.array([mut(o) for o in population])
res.append((np.mean(population, axis=0), np.var(population, axis=0)))
return res | 2,553,331,538,359,015,400 | Let life begin | evolutionary_optimization.py | run | kpj/PySpaMo | python | def run(self, size, max_iter=100):
' \n '
population = self.init(size)
res = []
for _ in tqdm(range(max_iter)):
pop_fitness = [self.get_fitness(o) for o in population]
best_indiv = np.argpartition(pop_fitness, (- 2))[(- 2):]
(mom, dad) = population[best_indiv]
child = self.crossover(mom, dad)
worst_indiv = np.argmin(pop_fitness)
population[worst_indiv] = child
mut = (lambda o: (self.mutate(o) if (random.random() < self.mutation_probability) else o))
population = np.array([mut(o) for o in population])
res.append((np.mean(population, axis=0), np.var(population, axis=0)))
return res |
def __init__(self, xid=None, flags=None, miss_send_len=None):
'Create a SetConfig with the optional parameters below.\n\n Args:\n xid (int): xid to be used on the message header.\n flags (~pyof.v0x01.controller2switch.common.ConfigFlag):\n OFPC_* flags.\n miss_send_len (int): UBInt16 max bytes of new flow that the\n datapath should send to the controller.\n '
super().__init__(xid, flags, miss_send_len)
self.header.message_type = Type.OFPT_SET_CONFIG | 7,739,435,916,392,614,000 | Create a SetConfig with the optional parameters below.
Args:
xid (int): xid to be used on the message header.
flags (~pyof.v0x01.controller2switch.common.ConfigFlag):
OFPC_* flags.
miss_send_len (int): UBInt16 max bytes of new flow that the
datapath should send to the controller. | pyof/v0x01/controller2switch/set_config.py | __init__ | Niehaus/python-openflow | python | def __init__(self, xid=None, flags=None, miss_send_len=None):
'Create a SetConfig with the optional parameters below.\n\n Args:\n xid (int): xid to be used on the message header.\n flags (~pyof.v0x01.controller2switch.common.ConfigFlag):\n OFPC_* flags.\n miss_send_len (int): UBInt16 max bytes of new flow that the\n datapath should send to the controller.\n '
super().__init__(xid, flags, miss_send_len)
self.header.message_type = Type.OFPT_SET_CONFIG |
def __init__(self, domain_range=None, n_basis=None, order=4, knots=None):
'Bspline basis constructor.\n\n Args:\n domain_range (tuple, optional): Definition of the interval where\n the basis defines a space. Defaults to (0,1) if knots are not\n specified. If knots are specified defaults to the first and\n last element of the knots.\n n_basis (int, optional): Number of splines that form the basis.\n order (int, optional): Order of the splines. One greater that\n their degree. Defaults to 4 which mean cubic splines.\n knots (array_like): List of knots of the splines. If domain_range\n is specified the first and last elements of the knots have to\n match with it.\n\n '
if (domain_range is not None):
domain_range = _domain_range(domain_range)
if (len(domain_range) != 1):
raise ValueError('Domain range should be unidimensional.')
domain_range = domain_range[0]
if (knots is None):
if (n_basis is None):
raise ValueError('Must provide either a list of knots or thenumber of basis.')
else:
knots = tuple(knots)
knots = sorted(knots)
if (domain_range is None):
domain_range = (knots[0], knots[(- 1)])
elif ((domain_range[0] != knots[0]) or (domain_range[1] != knots[(- 1)])):
raise ValueError('The ends of the knots must be the same as the domain_range.')
if (n_basis is None):
n_basis = ((len(knots) + order) - 2)
if (((n_basis - order) + 2) < 2):
raise ValueError(f'The number of basis ({n_basis}) minus the order of the bspline ({order}) should be greater than 3.')
self._order = order
self._knots = (None if (knots is None) else tuple(knots))
super().__init__(domain_range=domain_range, n_basis=n_basis)
if (self.n_basis != ((self.order + len(self.knots)) - 2)):
raise ValueError(f'The number of basis ({self.n_basis}) has to equal the order ({self.order}) plus the number of knots ({len(self.knots)}) minus 2.') | -2,689,459,971,197,850,000 | Bspline basis constructor.
Args:
domain_range (tuple, optional): Definition of the interval where
the basis defines a space. Defaults to (0,1) if knots are not
specified. If knots are specified defaults to the first and
last element of the knots.
n_basis (int, optional): Number of splines that form the basis.
order (int, optional): Order of the splines. One greater that
their degree. Defaults to 4 which mean cubic splines.
knots (array_like): List of knots of the splines. If domain_range
is specified the first and last elements of the knots have to
match with it. | skfda/representation/basis/_bspline.py | __init__ | alejandro-ariza/scikit-fda | python | def __init__(self, domain_range=None, n_basis=None, order=4, knots=None):
'Bspline basis constructor.\n\n Args:\n domain_range (tuple, optional): Definition of the interval where\n the basis defines a space. Defaults to (0,1) if knots are not\n specified. If knots are specified defaults to the first and\n last element of the knots.\n n_basis (int, optional): Number of splines that form the basis.\n order (int, optional): Order of the splines. One greater that\n their degree. Defaults to 4 which mean cubic splines.\n knots (array_like): List of knots of the splines. If domain_range\n is specified the first and last elements of the knots have to\n match with it.\n\n '
if (domain_range is not None):
domain_range = _domain_range(domain_range)
if (len(domain_range) != 1):
raise ValueError('Domain range should be unidimensional.')
domain_range = domain_range[0]
if (knots is None):
if (n_basis is None):
raise ValueError('Must provide either a list of knots or thenumber of basis.')
else:
knots = tuple(knots)
knots = sorted(knots)
if (domain_range is None):
domain_range = (knots[0], knots[(- 1)])
elif ((domain_range[0] != knots[0]) or (domain_range[1] != knots[(- 1)])):
raise ValueError('The ends of the knots must be the same as the domain_range.')
if (n_basis is None):
n_basis = ((len(knots) + order) - 2)
if (((n_basis - order) + 2) < 2):
raise ValueError(f'The number of basis ({n_basis}) minus the order of the bspline ({order}) should be greater than 3.')
self._order = order
self._knots = (None if (knots is None) else tuple(knots))
super().__init__(domain_range=domain_range, n_basis=n_basis)
if (self.n_basis != ((self.order + len(self.knots)) - 2)):
raise ValueError(f'The number of basis ({self.n_basis}) has to equal the order ({self.order}) plus the number of knots ({len(self.knots)}) minus 2.') |
def _evaluation_knots(self):
'\n Get the knots adding m knots to the boundary in order to allow a\n discontinuous behaviour at the boundaries of the domain [RS05]_.\n\n References:\n .. [RS05] Ramsay, J., Silverman, B. W. (2005). *Functional Data\n Analysis*. Springer. 50-51.\n '
return np.array(((((self.knots[0],) * (self.order - 1)) + self.knots) + ((self.knots[(- 1)],) * (self.order - 1)))) | 6,353,720,271,965,828,000 | Get the knots adding m knots to the boundary in order to allow a
discontinuous behaviour at the boundaries of the domain [RS05]_.
References:
.. [RS05] Ramsay, J., Silverman, B. W. (2005). *Functional Data
Analysis*. Springer. 50-51. | skfda/representation/basis/_bspline.py | _evaluation_knots | alejandro-ariza/scikit-fda | python | def _evaluation_knots(self):
'\n Get the knots adding m knots to the boundary in order to allow a\n discontinuous behaviour at the boundaries of the domain [RS05]_.\n\n References:\n .. [RS05] Ramsay, J., Silverman, B. W. (2005). *Functional Data\n Analysis*. Springer. 50-51.\n '
return np.array(((((self.knots[0],) * (self.order - 1)) + self.knots) + ((self.knots[(- 1)],) * (self.order - 1)))) |
def rescale(self, domain_range=None):
'Return a copy of the basis with a new domain range, with the\n corresponding values rescaled to the new bounds.\n The knots of the BSpline will be rescaled in the new interval.\n\n Args:\n domain_range (tuple, optional): Definition of the interval\n where the basis defines a space. Defaults uses the same as\n the original basis.\n '
knots = np.array(self.knots, dtype=np.dtype('float'))
if (domain_range is not None):
knots -= knots[0]
knots *= ((domain_range[1] - domain_range[0]) / (self.knots[(- 1)] - self.knots[0]))
knots += domain_range[0]
knots[0] = domain_range[0]
knots[(- 1)] = domain_range[1]
else:
domain_range = self.domain_range[0]
return BSpline(domain_range, self.n_basis, self.order, knots) | 6,704,090,157,816,201,000 | Return a copy of the basis with a new domain range, with the
corresponding values rescaled to the new bounds.
The knots of the BSpline will be rescaled in the new interval.
Args:
domain_range (tuple, optional): Definition of the interval
where the basis defines a space. Defaults uses the same as
the original basis. | skfda/representation/basis/_bspline.py | rescale | alejandro-ariza/scikit-fda | python | def rescale(self, domain_range=None):
'Return a copy of the basis with a new domain range, with the\n corresponding values rescaled to the new bounds.\n The knots of the BSpline will be rescaled in the new interval.\n\n Args:\n domain_range (tuple, optional): Definition of the interval\n where the basis defines a space. Defaults uses the same as\n the original basis.\n '
knots = np.array(self.knots, dtype=np.dtype('float'))
if (domain_range is not None):
knots -= knots[0]
knots *= ((domain_range[1] - domain_range[0]) / (self.knots[(- 1)] - self.knots[0]))
knots += domain_range[0]
knots[0] = domain_range[0]
knots[(- 1)] = domain_range[1]
else:
domain_range = self.domain_range[0]
return BSpline(domain_range, self.n_basis, self.order, knots) |
def __repr__(self):
'Representation of a BSpline basis.'
return f'{self.__class__.__name__}(domain_range={self.domain_range}, n_basis={self.n_basis}, order={self.order}, knots={self.knots})' | 6,928,560,861,686,392,000 | Representation of a BSpline basis. | skfda/representation/basis/_bspline.py | __repr__ | alejandro-ariza/scikit-fda | python | def __repr__(self):
return f'{self.__class__.__name__}(domain_range={self.domain_range}, n_basis={self.n_basis}, order={self.order}, knots={self.knots})' |
@property
def inknots(self):
'Return number of basis.'
return self.knots[1:(len(self.knots) - 1)] | -1,807,174,253,610,676,000 | Return number of basis. | skfda/representation/basis/_bspline.py | inknots | alejandro-ariza/scikit-fda | python | @property
def inknots(self):
return self.knots[1:(len(self.knots) - 1)] |
def test_boolean():
'Test boolean validation.'
schema = vol.Schema(cv.boolean)
for value in ('T', 'negative', 'lock'):
with pytest.raises(vol.MultipleInvalid):
schema(value)
for value in ('true', 'On', '1', 'YES', 'enable', 1, True):
assert schema(value)
for value in ('false', 'Off', '0', 'NO', 'disable', 0, False):
assert (not schema(value)) | 8,999,340,782,815,011,000 | Test boolean validation. | tests/helpers/test_config_validation.py | test_boolean | AidasK/home-assistant | python | def test_boolean():
schema = vol.Schema(cv.boolean)
for value in ('T', 'negative', 'lock'):
with pytest.raises(vol.MultipleInvalid):
schema(value)
for value in ('true', 'On', '1', 'YES', 'enable', 1, True):
assert schema(value)
for value in ('false', 'Off', '0', 'NO', 'disable', 0, False):
assert (not schema(value)) |
def test_latitude():
'Test latitude validation.'
schema = vol.Schema(cv.latitude)
for value in ('invalid', None, (- 91), 91, '-91', '91', '123.01A'):
with pytest.raises(vol.MultipleInvalid):
schema(value)
for value in ('-89', 89, '12.34'):
schema(value) | 5,405,025,922,743,942,000 | Test latitude validation. | tests/helpers/test_config_validation.py | test_latitude | AidasK/home-assistant | python | def test_latitude():
schema = vol.Schema(cv.latitude)
for value in ('invalid', None, (- 91), 91, '-91', '91', '123.01A'):
with pytest.raises(vol.MultipleInvalid):
schema(value)
for value in ('-89', 89, '12.34'):
schema(value) |
def test_longitude():
'Test longitude validation.'
schema = vol.Schema(cv.longitude)
for value in ('invalid', None, (- 181), 181, '-181', '181', '123.01A'):
with pytest.raises(vol.MultipleInvalid):
schema(value)
for value in ('-179', 179, '12.34'):
schema(value) | -8,674,121,212,617,102,000 | Test longitude validation. | tests/helpers/test_config_validation.py | test_longitude | AidasK/home-assistant | python | def test_longitude():
schema = vol.Schema(cv.longitude)
for value in ('invalid', None, (- 181), 181, '-181', '181', '123.01A'):
with pytest.raises(vol.MultipleInvalid):
schema(value)
for value in ('-179', 179, '12.34'):
schema(value) |
def test_port():
'Test TCP/UDP network port.'
schema = vol.Schema(cv.port)
for value in ('invalid', None, (- 1), 0, 80000, '81000'):
with pytest.raises(vol.MultipleInvalid):
schema(value)
for value in ('1000', 21, 24574):
schema(value) | -3,224,789,181,267,330,000 | Test TCP/UDP network port. | tests/helpers/test_config_validation.py | test_port | AidasK/home-assistant | python | def test_port():
schema = vol.Schema(cv.port)
for value in ('invalid', None, (- 1), 0, 80000, '81000'):
with pytest.raises(vol.MultipleInvalid):
schema(value)
for value in ('1000', 21, 24574):
schema(value) |
def test_isfile():
'Validate that the value is an existing file.'
schema = vol.Schema(cv.isfile)
fake_file = 'this-file-does-not.exist'
assert (not os.path.isfile(fake_file))
for value in ('invalid', None, (- 1), 0, 80000, fake_file):
with pytest.raises(vol.Invalid):
schema(value)
with patch('os.path.isfile', Mock(return_value=True)), patch('os.access', Mock(return_value=True)):
schema('test.txt') | 309,000,967,761,043,600 | Validate that the value is an existing file. | tests/helpers/test_config_validation.py | test_isfile | AidasK/home-assistant | python | def test_isfile():
schema = vol.Schema(cv.isfile)
fake_file = 'this-file-does-not.exist'
assert (not os.path.isfile(fake_file))
for value in ('invalid', None, (- 1), 0, 80000, fake_file):
with pytest.raises(vol.Invalid):
schema(value)
with patch('os.path.isfile', Mock(return_value=True)), patch('os.access', Mock(return_value=True)):
schema('test.txt') |
def test_url():
'Test URL.'
schema = vol.Schema(cv.url)
for value in ('invalid', None, 100, 'htp://ha.io', 'http//ha.io', 'http://??,**', 'https://??,**'):
with pytest.raises(vol.MultipleInvalid):
schema(value)
for value in ('http://localhost', 'https://localhost/test/index.html', 'http://home-assistant.io', 'http://home-assistant.io/test/', 'https://community.home-assistant.io/'):
assert schema(value) | 6,016,607,326,846,040,000 | Test URL. | tests/helpers/test_config_validation.py | test_url | AidasK/home-assistant | python | def test_url():
schema = vol.Schema(cv.url)
for value in ('invalid', None, 100, 'htp://ha.io', 'http//ha.io', 'http://??,**', 'https://??,**'):
with pytest.raises(vol.MultipleInvalid):
schema(value)
for value in ('http://localhost', 'https://localhost/test/index.html', 'http://home-assistant.io', 'http://home-assistant.io/test/', 'https://community.home-assistant.io/'):
assert schema(value) |
def test_platform_config():
'Test platform config validation.'
options = ({}, {'hello': 'world'})
for value in options:
with pytest.raises(vol.MultipleInvalid):
cv.PLATFORM_SCHEMA(value)
options = ({'platform': 'mqtt'}, {'platform': 'mqtt', 'beer': 'yes'})
for value in options:
cv.PLATFORM_SCHEMA(value) | -3,896,017,594,280,178,700 | Test platform config validation. | tests/helpers/test_config_validation.py | test_platform_config | AidasK/home-assistant | python | def test_platform_config():
options = ({}, {'hello': 'world'})
for value in options:
with pytest.raises(vol.MultipleInvalid):
cv.PLATFORM_SCHEMA(value)
options = ({'platform': 'mqtt'}, {'platform': 'mqtt', 'beer': 'yes'})
for value in options:
cv.PLATFORM_SCHEMA(value) |
def test_ensure_list():
'Test ensure_list.'
schema = vol.Schema(cv.ensure_list)
assert ([] == schema(None))
assert ([1] == schema(1))
assert ([1] == schema([1]))
assert (['1'] == schema('1'))
assert (['1'] == schema(['1']))
assert ([{'1': '2'}] == schema({'1': '2'})) | 8,073,574,953,741,535,000 | Test ensure_list. | tests/helpers/test_config_validation.py | test_ensure_list | AidasK/home-assistant | python | def test_ensure_list():
schema = vol.Schema(cv.ensure_list)
assert ([] == schema(None))
assert ([1] == schema(1))
assert ([1] == schema([1]))
assert (['1'] == schema('1'))
assert (['1'] == schema(['1']))
assert ([{'1': '2'}] == schema({'1': '2'})) |
def test_entity_id():
'Test entity ID validation.'
schema = vol.Schema(cv.entity_id)
with pytest.raises(vol.MultipleInvalid):
schema('invalid_entity')
assert (schema('sensor.LIGHT') == 'sensor.light') | 4,234,418,284,068,444,000 | Test entity ID validation. | tests/helpers/test_config_validation.py | test_entity_id | AidasK/home-assistant | python | def test_entity_id():
schema = vol.Schema(cv.entity_id)
with pytest.raises(vol.MultipleInvalid):
schema('invalid_entity')
assert (schema('sensor.LIGHT') == 'sensor.light') |
def test_entity_ids():
'Test entity ID validation.'
schema = vol.Schema(cv.entity_ids)
options = ('invalid_entity', 'sensor.light,sensor_invalid', ['invalid_entity'], ['sensor.light', 'sensor_invalid'], ['sensor.light,sensor_invalid'])
for value in options:
with pytest.raises(vol.MultipleInvalid):
schema(value)
options = ([], ['sensor.light'], 'sensor.light')
for value in options:
schema(value)
assert (schema('sensor.LIGHT, light.kitchen ') == ['sensor.light', 'light.kitchen']) | 5,483,656,690,993,181,000 | Test entity ID validation. | tests/helpers/test_config_validation.py | test_entity_ids | AidasK/home-assistant | python | def test_entity_ids():
schema = vol.Schema(cv.entity_ids)
options = ('invalid_entity', 'sensor.light,sensor_invalid', ['invalid_entity'], ['sensor.light', 'sensor_invalid'], ['sensor.light,sensor_invalid'])
for value in options:
with pytest.raises(vol.MultipleInvalid):
schema(value)
options = ([], ['sensor.light'], 'sensor.light')
for value in options:
schema(value)
assert (schema('sensor.LIGHT, light.kitchen ') == ['sensor.light', 'light.kitchen']) |
def test_entity_domain():
'Test entity domain validation.'
schema = vol.Schema(cv.entity_domain('sensor'))
options = ('invalid_entity', 'cover.demo')
for value in options:
with pytest.raises(vol.MultipleInvalid):
print(value)
schema(value)
assert (schema('sensor.LIGHT') == 'sensor.light') | 4,741,356,306,411,909,000 | Test entity domain validation. | tests/helpers/test_config_validation.py | test_entity_domain | AidasK/home-assistant | python | def test_entity_domain():
schema = vol.Schema(cv.entity_domain('sensor'))
options = ('invalid_entity', 'cover.demo')
for value in options:
with pytest.raises(vol.MultipleInvalid):
print(value)
schema(value)
assert (schema('sensor.LIGHT') == 'sensor.light') |
def test_entities_domain():
'Test entities domain validation.'
schema = vol.Schema(cv.entities_domain('sensor'))
options = (None, '', 'invalid_entity', ['sensor.light', 'cover.demo'], ['sensor.light', 'sensor_invalid'])
for value in options:
with pytest.raises(vol.MultipleInvalid):
schema(value)
options = ('sensor.light', ['SENSOR.light'], ['sensor.light', 'sensor.demo'])
for value in options:
schema(value)
assert (schema('sensor.LIGHT, sensor.demo ') == ['sensor.light', 'sensor.demo'])
assert (schema(['sensor.light', 'SENSOR.demo']) == ['sensor.light', 'sensor.demo']) | 7,033,083,670,923,283,000 | Test entities domain validation. | tests/helpers/test_config_validation.py | test_entities_domain | AidasK/home-assistant | python | def test_entities_domain():
schema = vol.Schema(cv.entities_domain('sensor'))
options = (None, , 'invalid_entity', ['sensor.light', 'cover.demo'], ['sensor.light', 'sensor_invalid'])
for value in options:
with pytest.raises(vol.MultipleInvalid):
schema(value)
options = ('sensor.light', ['SENSOR.light'], ['sensor.light', 'sensor.demo'])
for value in options:
schema(value)
assert (schema('sensor.LIGHT, sensor.demo ') == ['sensor.light', 'sensor.demo'])
assert (schema(['sensor.light', 'SENSOR.demo']) == ['sensor.light', 'sensor.demo']) |
def test_ensure_list_csv():
'Test ensure_list_csv.'
schema = vol.Schema(cv.ensure_list_csv)
options = (None, 12, [], ['string'], 'string1,string2')
for value in options:
schema(value)
assert (schema('string1, string2 ') == ['string1', 'string2']) | -1,662,028,435,425,543,000 | Test ensure_list_csv. | tests/helpers/test_config_validation.py | test_ensure_list_csv | AidasK/home-assistant | python | def test_ensure_list_csv():
schema = vol.Schema(cv.ensure_list_csv)
options = (None, 12, [], ['string'], 'string1,string2')
for value in options:
schema(value)
assert (schema('string1, string2 ') == ['string1', 'string2']) |
def test_event_schema():
'Test event_schema validation.'
options = ({}, None, {'event_data': {}}, {'event': 'state_changed', 'event_data': 1})
for value in options:
with pytest.raises(vol.MultipleInvalid):
cv.EVENT_SCHEMA(value)
options = ({'event': 'state_changed'}, {'event': 'state_changed', 'event_data': {'hello': 'world'}})
for value in options:
cv.EVENT_SCHEMA(value) | -7,224,355,690,011,239,000 | Test event_schema validation. | tests/helpers/test_config_validation.py | test_event_schema | AidasK/home-assistant | python | def test_event_schema():
options = ({}, None, {'event_data': {}}, {'event': 'state_changed', 'event_data': 1})
for value in options:
with pytest.raises(vol.MultipleInvalid):
cv.EVENT_SCHEMA(value)
options = ({'event': 'state_changed'}, {'event': 'state_changed', 'event_data': {'hello': 'world'}})
for value in options:
cv.EVENT_SCHEMA(value) |
def test_icon():
'Test icon validation.'
schema = vol.Schema(cv.icon)
for value in (False, 'work'):
with pytest.raises(vol.MultipleInvalid):
schema(value)
schema('mdi:work')
schema('custom:prefix') | -6,032,756,510,433,722,000 | Test icon validation. | tests/helpers/test_config_validation.py | test_icon | AidasK/home-assistant | python | def test_icon():
schema = vol.Schema(cv.icon)
for value in (False, 'work'):
with pytest.raises(vol.MultipleInvalid):
schema(value)
schema('mdi:work')
schema('custom:prefix') |
def test_time_period():
'Test time_period validation.'
schema = vol.Schema(cv.time_period)
options = (None, '', 'hello:world', '12:', '12:34:56:78', {}, {'wrong_key': (- 10)})
for value in options:
with pytest.raises(vol.MultipleInvalid):
schema(value)
options = ('8:20', '23:59', '-8:20', '-23:59:59', '-48:00', {'minutes': 5}, 1, '5')
for value in options:
schema(value)
assert (timedelta(seconds=180) == schema('180'))
assert (timedelta(hours=23, minutes=59) == schema('23:59'))
assert (((- 1) * timedelta(hours=1, minutes=15)) == schema('-1:15')) | 5,079,320,819,424,888,000 | Test time_period validation. | tests/helpers/test_config_validation.py | test_time_period | AidasK/home-assistant | python | def test_time_period():
schema = vol.Schema(cv.time_period)
options = (None, , 'hello:world', '12:', '12:34:56:78', {}, {'wrong_key': (- 10)})
for value in options:
with pytest.raises(vol.MultipleInvalid):
schema(value)
options = ('8:20', '23:59', '-8:20', '-23:59:59', '-48:00', {'minutes': 5}, 1, '5')
for value in options:
schema(value)
assert (timedelta(seconds=180) == schema('180'))
assert (timedelta(hours=23, minutes=59) == schema('23:59'))
assert (((- 1) * timedelta(hours=1, minutes=15)) == schema('-1:15')) |
def test_service():
'Test service validation.'
schema = vol.Schema(cv.service)
with pytest.raises(vol.MultipleInvalid):
schema('invalid_turn_on')
schema('homeassistant.turn_on') | -3,773,440,342,070,571,000 | Test service validation. | tests/helpers/test_config_validation.py | test_service | AidasK/home-assistant | python | def test_service():
schema = vol.Schema(cv.service)
with pytest.raises(vol.MultipleInvalid):
schema('invalid_turn_on')
schema('homeassistant.turn_on') |
def test_service_schema():
'Test service_schema validation.'
options = ({}, None, {'service': 'homeassistant.turn_on', 'service_template': 'homeassistant.turn_on'}, {'data': {'entity_id': 'light.kitchen'}}, {'service': 'homeassistant.turn_on', 'data': None}, {'service': 'homeassistant.turn_on', 'data_template': {'brightness': '{{ no_end'}})
for value in options:
with pytest.raises(vol.MultipleInvalid):
cv.SERVICE_SCHEMA(value)
options = ({'service': 'homeassistant.turn_on'}, {'service': 'homeassistant.turn_on', 'entity_id': 'light.kitchen'}, {'service': 'homeassistant.turn_on', 'entity_id': ['light.kitchen', 'light.ceiling']})
for value in options:
cv.SERVICE_SCHEMA(value) | 769,792,067,807,005,000 | Test service_schema validation. | tests/helpers/test_config_validation.py | test_service_schema | AidasK/home-assistant | python | def test_service_schema():
options = ({}, None, {'service': 'homeassistant.turn_on', 'service_template': 'homeassistant.turn_on'}, {'data': {'entity_id': 'light.kitchen'}}, {'service': 'homeassistant.turn_on', 'data': None}, {'service': 'homeassistant.turn_on', 'data_template': {'brightness': '{{ no_end'}})
for value in options:
with pytest.raises(vol.MultipleInvalid):
cv.SERVICE_SCHEMA(value)
options = ({'service': 'homeassistant.turn_on'}, {'service': 'homeassistant.turn_on', 'entity_id': 'light.kitchen'}, {'service': 'homeassistant.turn_on', 'entity_id': ['light.kitchen', 'light.ceiling']})
for value in options:
cv.SERVICE_SCHEMA(value) |
def test_slug():
'Test slug validation.'
schema = vol.Schema(cv.slug)
for value in (None, 'hello world'):
with pytest.raises(vol.MultipleInvalid):
schema(value)
for value in (12345, 'hello'):
schema(value) | 5,634,292,382,389,411,000 | Test slug validation. | tests/helpers/test_config_validation.py | test_slug | AidasK/home-assistant | python | def test_slug():
schema = vol.Schema(cv.slug)
for value in (None, 'hello world'):
with pytest.raises(vol.MultipleInvalid):
schema(value)
for value in (12345, 'hello'):
schema(value) |
def test_string():
'Test string validation.'
schema = vol.Schema(cv.string)
with pytest.raises(vol.Invalid):
schema(None)
with pytest.raises(vol.Invalid):
schema([])
with pytest.raises(vol.Invalid):
schema({})
for value in (True, 1, 'hello'):
schema(value) | 6,633,445,761,249,542,000 | Test string validation. | tests/helpers/test_config_validation.py | test_string | AidasK/home-assistant | python | def test_string():
schema = vol.Schema(cv.string)
with pytest.raises(vol.Invalid):
schema(None)
with pytest.raises(vol.Invalid):
schema([])
with pytest.raises(vol.Invalid):
schema({})
for value in (True, 1, 'hello'):
schema(value) |
def test_temperature_unit():
'Test temperature unit validation.'
schema = vol.Schema(cv.temperature_unit)
with pytest.raises(vol.MultipleInvalid):
schema('K')
schema('C')
schema('F') | 9,216,878,165,514,072,000 | Test temperature unit validation. | tests/helpers/test_config_validation.py | test_temperature_unit | AidasK/home-assistant | python | def test_temperature_unit():
schema = vol.Schema(cv.temperature_unit)
with pytest.raises(vol.MultipleInvalid):
schema('K')
schema('C')
schema('F') |
def test_x10_address():
'Test x10 addr validator.'
schema = vol.Schema(cv.x10_address)
with pytest.raises(vol.Invalid):
schema('Q1')
schema('q55')
schema('garbage_addr')
schema('a1')
schema('C11') | 476,064,791,361,012,160 | Test x10 addr validator. | tests/helpers/test_config_validation.py | test_x10_address | AidasK/home-assistant | python | def test_x10_address():
schema = vol.Schema(cv.x10_address)
with pytest.raises(vol.Invalid):
schema('Q1')
schema('q55')
schema('garbage_addr')
schema('a1')
schema('C11') |
def test_template():
'Test template validator.'
schema = vol.Schema(cv.template)
for value in (None, '{{ partial_print }', '{% if True %}Hello', ['test']):
with pytest.raises(vol.Invalid, message='{} not considered invalid'.format(value)):
schema(value)
options = (1, 'Hello', '{{ beer }}', '{% if 1 == 1 %}Hello{% else %}World{% endif %}')
for value in options:
schema(value) | 779,638,051,045,150,500 | Test template validator. | tests/helpers/test_config_validation.py | test_template | AidasK/home-assistant | python | def test_template():
schema = vol.Schema(cv.template)
for value in (None, '{{ partial_print }', '{% if True %}Hello', ['test']):
with pytest.raises(vol.Invalid, message='{} not considered invalid'.format(value)):
schema(value)
options = (1, 'Hello', '{{ beer }}', '{% if 1 == 1 %}Hello{% else %}World{% endif %}')
for value in options:
schema(value) |
def test_template_complex():
'Test template_complex validator.'
schema = vol.Schema(cv.template_complex)
for value in (None, '{{ partial_print }', '{% if True %}Hello'):
with pytest.raises(vol.MultipleInvalid):
schema(value)
options = (1, 'Hello', '{{ beer }}', '{% if 1 == 1 %}Hello{% else %}World{% endif %}', {'test': 1, 'test2': '{{ beer }}'}, ['{{ beer }}', 1])
for value in options:
schema(value) | -8,506,853,059,146,775,000 | Test template_complex validator. | tests/helpers/test_config_validation.py | test_template_complex | AidasK/home-assistant | python | def test_template_complex():
schema = vol.Schema(cv.template_complex)
for value in (None, '{{ partial_print }', '{% if True %}Hello'):
with pytest.raises(vol.MultipleInvalid):
schema(value)
options = (1, 'Hello', '{{ beer }}', '{% if 1 == 1 %}Hello{% else %}World{% endif %}', {'test': 1, 'test2': '{{ beer }}'}, ['{{ beer }}', 1])
for value in options:
schema(value) |
def test_time_zone():
'Test time zone validation.'
schema = vol.Schema(cv.time_zone)
with pytest.raises(vol.MultipleInvalid):
schema('America/Do_Not_Exist')
schema('America/Los_Angeles')
schema('UTC') | -3,777,560,921,499,743,000 | Test time zone validation. | tests/helpers/test_config_validation.py | test_time_zone | AidasK/home-assistant | python | def test_time_zone():
schema = vol.Schema(cv.time_zone)
with pytest.raises(vol.MultipleInvalid):
schema('America/Do_Not_Exist')
schema('America/Los_Angeles')
schema('UTC') |
def test_date():
'Test date validation.'
schema = vol.Schema(cv.date)
for value in ['Not a date', '23:42', '2016-11-23T18:59:08']:
with pytest.raises(vol.Invalid):
schema(value)
schema(datetime.now().date())
schema('2016-11-23') | 6,884,820,153,883,477,000 | Test date validation. | tests/helpers/test_config_validation.py | test_date | AidasK/home-assistant | python | def test_date():
schema = vol.Schema(cv.date)
for value in ['Not a date', '23:42', '2016-11-23T18:59:08']:
with pytest.raises(vol.Invalid):
schema(value)
schema(datetime.now().date())
schema('2016-11-23') |
def test_time():
'Test date validation.'
schema = vol.Schema(cv.time)
for value in ['Not a time', '2016-11-23', '2016-11-23T18:59:08']:
with pytest.raises(vol.Invalid):
schema(value)
schema(datetime.now().time())
schema('23:42:00')
schema('23:42') | -3,050,492,042,552,543,700 | Test date validation. | tests/helpers/test_config_validation.py | test_time | AidasK/home-assistant | python | def test_time():
schema = vol.Schema(cv.time)
for value in ['Not a time', '2016-11-23', '2016-11-23T18:59:08']:
with pytest.raises(vol.Invalid):
schema(value)
schema(datetime.now().time())
schema('23:42:00')
schema('23:42') |
def test_datetime():
'Test date time validation.'
schema = vol.Schema(cv.datetime)
for value in [date.today(), 'Wrong DateTime', '2016-11-23']:
with pytest.raises(vol.MultipleInvalid):
schema(value)
schema(datetime.now())
schema('2016-11-23T18:59:08') | 7,137,674,050,958,346,000 | Test date time validation. | tests/helpers/test_config_validation.py | test_datetime | AidasK/home-assistant | python | def test_datetime():
schema = vol.Schema(cv.datetime)
for value in [date.today(), 'Wrong DateTime', '2016-11-23']:
with pytest.raises(vol.MultipleInvalid):
schema(value)
schema(datetime.now())
schema('2016-11-23T18:59:08') |
def test_deprecated(caplog):
'Test deprecation log.'
schema = vol.Schema({'venus': cv.boolean, 'mars': cv.boolean})
deprecated_schema = vol.All(cv.deprecated('mars'), schema)
deprecated_schema({'venus': True})
assert (len(caplog.records) == 0)
deprecated_schema({'mars': True})
assert (len(caplog.records) == 1)
assert (caplog.records[0].name == __name__)
assert ("The 'mars' option (with value 'True') is deprecated, please remove it from your configuration." in caplog.text) | 3,538,743,296,813,699,600 | Test deprecation log. | tests/helpers/test_config_validation.py | test_deprecated | AidasK/home-assistant | python | def test_deprecated(caplog):
schema = vol.Schema({'venus': cv.boolean, 'mars': cv.boolean})
deprecated_schema = vol.All(cv.deprecated('mars'), schema)
deprecated_schema({'venus': True})
assert (len(caplog.records) == 0)
deprecated_schema({'mars': True})
assert (len(caplog.records) == 1)
assert (caplog.records[0].name == __name__)
assert ("The 'mars' option (with value 'True') is deprecated, please remove it from your configuration." in caplog.text) |
def test_key_dependency():
'Test key_dependency validator.'
schema = vol.Schema(cv.key_dependency('beer', 'soda'))
options = {'beer': None}
for value in options:
with pytest.raises(vol.MultipleInvalid):
schema(value)
options = ({'beer': None, 'soda': None}, {'soda': None}, {})
for value in options:
schema(value) | 2,016,627,324,186,323,000 | Test key_dependency validator. | tests/helpers/test_config_validation.py | test_key_dependency | AidasK/home-assistant | python | def test_key_dependency():
schema = vol.Schema(cv.key_dependency('beer', 'soda'))
options = {'beer': None}
for value in options:
with pytest.raises(vol.MultipleInvalid):
schema(value)
options = ({'beer': None, 'soda': None}, {'soda': None}, {})
for value in options:
schema(value) |
def test_has_at_least_one_key():
'Test has_at_least_one_key validator.'
schema = vol.Schema(cv.has_at_least_one_key('beer', 'soda'))
for value in (None, [], {}, {'wine': None}):
with pytest.raises(vol.MultipleInvalid):
schema(value)
for value in ({'beer': None}, {'soda': None}):
schema(value) | 1,057,924,061,279,002,200 | Test has_at_least_one_key validator. | tests/helpers/test_config_validation.py | test_has_at_least_one_key | AidasK/home-assistant | python | def test_has_at_least_one_key():
schema = vol.Schema(cv.has_at_least_one_key('beer', 'soda'))
for value in (None, [], {}, {'wine': None}):
with pytest.raises(vol.MultipleInvalid):
schema(value)
for value in ({'beer': None}, {'soda': None}):
schema(value) |
def test_enum():
'Test enum validator.'
class TestEnum(enum.Enum):
'Test enum.'
value1 = 'Value 1'
value2 = 'Value 2'
schema = vol.Schema(cv.enum(TestEnum))
with pytest.raises(vol.Invalid):
schema('value3') | -2,516,164,131,956,451,300 | Test enum validator. | tests/helpers/test_config_validation.py | test_enum | AidasK/home-assistant | python | def test_enum():
class TestEnum(enum.Enum):
'Test enum.'
value1 = 'Value 1'
value2 = 'Value 2'
schema = vol.Schema(cv.enum(TestEnum))
with pytest.raises(vol.Invalid):
schema('value3') |
def test_socket_timeout():
'Test socket timeout validator.'
schema = vol.Schema(cv.socket_timeout)
with pytest.raises(vol.Invalid):
schema(0.0)
with pytest.raises(vol.Invalid):
schema((- 1))
assert (_GLOBAL_DEFAULT_TIMEOUT == schema(None))
assert (schema(1) == 1.0) | 352,976,611,970,499,460 | Test socket timeout validator. | tests/helpers/test_config_validation.py | test_socket_timeout | AidasK/home-assistant | python | def test_socket_timeout():
schema = vol.Schema(cv.socket_timeout)
with pytest.raises(vol.Invalid):
schema(0.0)
with pytest.raises(vol.Invalid):
schema((- 1))
assert (_GLOBAL_DEFAULT_TIMEOUT == schema(None))
assert (schema(1) == 1.0) |
def test_matches_regex():
'Test matches_regex validator.'
schema = vol.Schema(cv.matches_regex('.*uiae.*'))
with pytest.raises(vol.Invalid):
schema(1.0)
with pytest.raises(vol.Invalid):
schema(' nrtd ')
test_str = 'This is a test including uiae.'
assert (schema(test_str) == test_str) | -8,264,848,067,278,385,000 | Test matches_regex validator. | tests/helpers/test_config_validation.py | test_matches_regex | AidasK/home-assistant | python | def test_matches_regex():
schema = vol.Schema(cv.matches_regex('.*uiae.*'))
with pytest.raises(vol.Invalid):
schema(1.0)
with pytest.raises(vol.Invalid):
schema(' nrtd ')
test_str = 'This is a test including uiae.'
assert (schema(test_str) == test_str) |
def test_is_regex():
'Test the is_regex validator.'
schema = vol.Schema(cv.is_regex)
with pytest.raises(vol.Invalid):
schema('(')
with pytest.raises(vol.Invalid):
schema({'a dict': 'is not a regex'})
valid_re = '.*'
schema(valid_re) | -4,981,124,014,004,099,000 | Test the is_regex validator. | tests/helpers/test_config_validation.py | test_is_regex | AidasK/home-assistant | python | def test_is_regex():
schema = vol.Schema(cv.is_regex)
with pytest.raises(vol.Invalid):
schema('(')
with pytest.raises(vol.Invalid):
schema({'a dict': 'is not a regex'})
valid_re = '.*'
schema(valid_re) |
def test_comp_entity_ids():
'Test config validation for component entity IDs.'
schema = vol.Schema(cv.comp_entity_ids)
for valid in ('ALL', 'all', 'AlL', 'light.kitchen', ['light.kitchen'], ['light.kitchen', 'light.ceiling'], []):
schema(valid)
for invalid in (['light.kitchen', 'not-entity-id'], '*', ''):
with pytest.raises(vol.Invalid):
schema(invalid) | -8,425,774,353,582,209,000 | Test config validation for component entity IDs. | tests/helpers/test_config_validation.py | test_comp_entity_ids | AidasK/home-assistant | python | def test_comp_entity_ids():
schema = vol.Schema(cv.comp_entity_ids)
for valid in ('ALL', 'all', 'AlL', 'light.kitchen', ['light.kitchen'], ['light.kitchen', 'light.ceiling'], []):
schema(valid)
for invalid in (['light.kitchen', 'not-entity-id'], '*', ):
with pytest.raises(vol.Invalid):
schema(invalid) |
def ra_dec_format(val):
' Ra/Dec string formatting\n\n Converts the input string format of a right ascension/ declination coordinate\n to one recognizable by astroquery\n\n Args:\n val (str): string; an ra/dec expression formatted as "005313.81 +130955.0".\n\n Returns:\n string: the ra/dec coordinates re-formatted as "00h53m13.81s +13d09m55.0s"\n '
hour = val[0:2]
min_ = val[2:4]
sec = val[4:9]
ra = (((((hour + 'h') + min_) + 'm') + sec) + 's')
deg = val[9:13]
min_d = val[13:15]
sec_d = val[15:]
dec = (((((deg + 'd') + min_d) + 'm') + sec_d) + 's')
return ((ra + ' ') + dec) | 4,864,394,534,267,087,000 | Ra/Dec string formatting
Converts the input string format of a right ascension/ declination coordinate
to one recognizable by astroquery
Args:
val (str): string; an ra/dec expression formatted as "005313.81 +130955.0".
Returns:
string: the ra/dec coordinates re-formatted as "00h53m13.81s +13d09m55.0s" | exampledoc/Extractor.py | ra_dec_format | sofiapasquini/Code-Astro-Group-23-Project | python | def ra_dec_format(val):
' Ra/Dec string formatting\n\n Converts the input string format of a right ascension/ declination coordinate\n to one recognizable by astroquery\n\n Args:\n val (str): string; an ra/dec expression formatted as "005313.81 +130955.0".\n\n Returns:\n string: the ra/dec coordinates re-formatted as "00h53m13.81s +13d09m55.0s"\n '
hour = val[0:2]
min_ = val[2:4]
sec = val[4:9]
ra = (((((hour + 'h') + min_) + 'm') + sec) + 's')
deg = val[9:13]
min_d = val[13:15]
sec_d = val[15:]
dec = (((((deg + 'd') + min_d) + 'm') + sec_d) + 's')
return ((ra + ' ') + dec) |
def extractor(position):
"\n This function extracts the information from the SDSS database and returns\n a pandas dataframe with the query region. Please ensure that the 'position'\n input is formatted as '005313.81 +130955.0\n\n extractor(str) --> pd.DataFrame\n "
position = ra_dec_format(position)
pos = coords.SkyCoord(position, frame='icrs')
data = SDSS.query_region(pos, spectro=True)
return data.to_pandas() | -4,174,108,965,800,909,300 | This function extracts the information from the SDSS database and returns
a pandas dataframe with the query region. Please ensure that the 'position'
input is formatted as '005313.81 +130955.0
extractor(str) --> pd.DataFrame | exampledoc/Extractor.py | extractor | sofiapasquini/Code-Astro-Group-23-Project | python | def extractor(position):
"\n This function extracts the information from the SDSS database and returns\n a pandas dataframe with the query region. Please ensure that the 'position'\n input is formatted as '005313.81 +130955.0\n\n extractor(str) --> pd.DataFrame\n "
position = ra_dec_format(position)
pos = coords.SkyCoord(position, frame='icrs')
data = SDSS.query_region(pos, spectro=True)
return data.to_pandas() |
def downloader(data):
'\n This function uses extracted information in order to dwonaload spectra, \n separating the data from th SDSS and BOSS.\n\n downloader(pd.Dataframe) --> [list(fits)]\n '
spec_list = []
for i in range(len(data)):
results = SDSS.query_specobj(plate=data['plate'][i], mjd=data['mjd'][i], fiberID=data['fiberID'][i])
try:
spec = SDSS.get_spectra(matches=results)[0]
spec_list.append(spec)
except:
results.remove_column('instrument')
results.add_column(name='instrument', col='eboss')
spec = SDSS.get_spectra(matches=results)[0]
spec_list.append(spec)
return spec_list | -2,177,232,159,057,139,500 | This function uses extracted information in order to dwonaload spectra,
separating the data from th SDSS and BOSS.
downloader(pd.Dataframe) --> [list(fits)] | exampledoc/Extractor.py | downloader | sofiapasquini/Code-Astro-Group-23-Project | python | def downloader(data):
'\n This function uses extracted information in order to dwonaload spectra, \n separating the data from th SDSS and BOSS.\n\n downloader(pd.Dataframe) --> [list(fits)]\n '
spec_list = []
for i in range(len(data)):
results = SDSS.query_specobj(plate=data['plate'][i], mjd=data['mjd'][i], fiberID=data['fiberID'][i])
try:
spec = SDSS.get_spectra(matches=results)[0]
spec_list.append(spec)
except:
results.remove_column('instrument')
results.add_column(name='instrument', col='eboss')
spec = SDSS.get_spectra(matches=results)[0]
spec_list.append(spec)
return spec_list |
def extract_msg_headers(self, entity, msg):
'Parse E-Mail headers into FtM properties.'
try:
entity.add('indexText', msg.values())
except Exception as ex:
log.warning('Cannot parse all headers: %r', ex)
entity.add('subject', self.get_header(msg, 'Subject'))
entity.add('date', self.get_dates(msg, 'Date'))
entity.add('mimeType', self.get_header(msg, 'Content-Type'))
entity.add('threadTopic', self.get_header(msg, 'Thread-Topic'))
entity.add('generator', self.get_header(msg, 'X-Mailer'))
entity.add('language', self.get_header(msg, 'Content-Language'))
entity.add('keywords', self.get_header(msg, 'Keywords'))
entity.add('summary', self.get_header(msg, 'Comments'))
message_id = self.get_header(msg, 'Message-ID')
entity.add('messageId', self.parse_message_ids(message_id))
references = self.get_header(msg, 'References')
in_reply_to = self.get_header(msg, 'In-Reply-To')
entity.add('inReplyTo', self.parse_references(references, in_reply_to))
return_path = self.get_header_identities(msg, 'Return-Path')
self.apply_identities(entity, return_path)
reply_to = self.get_header_identities(msg, 'Reply-To')
self.apply_identities(entity, reply_to)
sender = self.get_header_identities(msg, 'Sender', 'X-Sender')
self.apply_identities(entity, sender, 'emitters', 'sender')
froms = self.get_header_identities(msg, 'From', 'X-From')
self.apply_identities(entity, froms, 'emitters', 'from')
tos = self.get_header_identities(msg, 'To', 'Resent-To')
self.apply_identities(entity, tos, 'recipients', 'to')
ccs = self.get_header_identities(msg, 'CC', 'Cc', 'Resent-Cc')
self.apply_identities(entity, ccs, 'recipients', 'cc')
bccs = self.get_header_identities(msg, 'Bcc', 'BCC', 'Resent-Bcc')
self.apply_identities(entity, bccs, 'recipients', 'bcc') | -5,171,677,646,401,712,000 | Parse E-Mail headers into FtM properties. | services/ingest-file/ingestors/support/email.py | extract_msg_headers | adikadashrieq/aleph | python | def extract_msg_headers(self, entity, msg):
try:
entity.add('indexText', msg.values())
except Exception as ex:
log.warning('Cannot parse all headers: %r', ex)
entity.add('subject', self.get_header(msg, 'Subject'))
entity.add('date', self.get_dates(msg, 'Date'))
entity.add('mimeType', self.get_header(msg, 'Content-Type'))
entity.add('threadTopic', self.get_header(msg, 'Thread-Topic'))
entity.add('generator', self.get_header(msg, 'X-Mailer'))
entity.add('language', self.get_header(msg, 'Content-Language'))
entity.add('keywords', self.get_header(msg, 'Keywords'))
entity.add('summary', self.get_header(msg, 'Comments'))
message_id = self.get_header(msg, 'Message-ID')
entity.add('messageId', self.parse_message_ids(message_id))
references = self.get_header(msg, 'References')
in_reply_to = self.get_header(msg, 'In-Reply-To')
entity.add('inReplyTo', self.parse_references(references, in_reply_to))
return_path = self.get_header_identities(msg, 'Return-Path')
self.apply_identities(entity, return_path)
reply_to = self.get_header_identities(msg, 'Reply-To')
self.apply_identities(entity, reply_to)
sender = self.get_header_identities(msg, 'Sender', 'X-Sender')
self.apply_identities(entity, sender, 'emitters', 'sender')
froms = self.get_header_identities(msg, 'From', 'X-From')
self.apply_identities(entity, froms, 'emitters', 'from')
tos = self.get_header_identities(msg, 'To', 'Resent-To')
self.apply_identities(entity, tos, 'recipients', 'to')
ccs = self.get_header_identities(msg, 'CC', 'Cc', 'Resent-Cc')
self.apply_identities(entity, ccs, 'recipients', 'cc')
bccs = self.get_header_identities(msg, 'Bcc', 'BCC', 'Resent-Bcc')
self.apply_identities(entity, bccs, 'recipients', 'bcc') |
def __init__(self):
' Initializes this class with VWOLogger and OperandEvaluator '
self.operand_evaluator = OperandEvaluator() | 1,181,704,526,880,338,000 | Initializes this class with VWOLogger and OperandEvaluator | vwo/services/segmentor/segment_evaluator.py | __init__ | MDAkramSiddiqui/vwo-python-sdk | python | def __init__(self):
' '
self.operand_evaluator = OperandEvaluator() |
def evaluate(self, segments, custom_variables):
'A parser which recursively evaluates the custom_variables passed against\n the expression tree represented by segments, and returns the result.\n\n Args:\n segments(dict): The segments representing the expression tree\n custom_variables(dict): Key/value pair of variables\n\n Returns:\n bool(result): True or False\n '
(operator, sub_segments) = get_key_value(segments)
if (operator == OperatorTypes.NOT):
return (not self.evaluate(sub_segments, custom_variables))
elif (operator == OperatorTypes.AND):
return all((self.evaluate(y, custom_variables) for y in sub_segments))
elif (operator == OperatorTypes.OR):
return any((self.evaluate(y, custom_variables) for y in sub_segments))
elif (operator == OperandTypes.CUSTOM_VARIABLE):
return self.operand_evaluator.evaluate_custom_variable(sub_segments, custom_variables)
elif (operator == OperandTypes.USER):
return self.operand_evaluator.evaluate_user(sub_segments, custom_variables) | -6,698,908,000,189,105,000 | A parser which recursively evaluates the custom_variables passed against
the expression tree represented by segments, and returns the result.
Args:
segments(dict): The segments representing the expression tree
custom_variables(dict): Key/value pair of variables
Returns:
bool(result): True or False | vwo/services/segmentor/segment_evaluator.py | evaluate | MDAkramSiddiqui/vwo-python-sdk | python | def evaluate(self, segments, custom_variables):
'A parser which recursively evaluates the custom_variables passed against\n the expression tree represented by segments, and returns the result.\n\n Args:\n segments(dict): The segments representing the expression tree\n custom_variables(dict): Key/value pair of variables\n\n Returns:\n bool(result): True or False\n '
(operator, sub_segments) = get_key_value(segments)
if (operator == OperatorTypes.NOT):
return (not self.evaluate(sub_segments, custom_variables))
elif (operator == OperatorTypes.AND):
return all((self.evaluate(y, custom_variables) for y in sub_segments))
elif (operator == OperatorTypes.OR):
return any((self.evaluate(y, custom_variables) for y in sub_segments))
elif (operator == OperandTypes.CUSTOM_VARIABLE):
return self.operand_evaluator.evaluate_custom_variable(sub_segments, custom_variables)
elif (operator == OperandTypes.USER):
return self.operand_evaluator.evaluate_user(sub_segments, custom_variables) |
def removeElement(self, nums, val):
'\n :type nums: List[int]\n :type val: int\n :rtype: int\n '
j = 0
for i in range(len(nums)):
if (nums[i] != val):
nums[j] = nums[i]
j += 1
return j | -2,103,904,785,688,737,800 | :type nums: List[int]
:type val: int
:rtype: int | 1-50/27_remove-element.py | removeElement | ChenhaoJiang/LeetCode-Solution | python | def removeElement(self, nums, val):
'\n :type nums: List[int]\n :type val: int\n :rtype: int\n '
j = 0
for i in range(len(nums)):
if (nums[i] != val):
nums[j] = nums[i]
j += 1
return j |
def main():
'Run administrative tasks.'
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'uofthacksemergencyfunds.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError("Couldn't import Django. Are you sure it's installed and available on your PYTHONPATH environment variable? Did you forget to activate a virtual environment?") from exc
execute_from_command_line(sys.argv) | -799,566,234,733,556,400 | Run administrative tasks. | manage.py | main | donmin062501/Savings.io | python | def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'uofthacksemergencyfunds.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError("Couldn't import Django. Are you sure it's installed and available on your PYTHONPATH environment variable? Did you forget to activate a virtual environment?") from exc
execute_from_command_line(sys.argv) |
def create_view(self, es_ordering_fields):
'Create and return test view class instance\n\n Args:\n es_ordering_fields (tuple): ordering fields\n Returns:\n ElasticAPIView: test view instance\n '
view = ElasticAPIView()
view.es_ordering_fields = es_ordering_fields
return view | -3,597,215,663,825,731,000 | Create and return test view class instance
Args:
es_ordering_fields (tuple): ordering fields
Returns:
ElasticAPIView: test view instance | tests/test_filters.py | create_view | ArtemBernatskyy/django-rest-elasticsearch | python | def create_view(self, es_ordering_fields):
'Create and return test view class instance\n\n Args:\n es_ordering_fields (tuple): ordering fields\n Returns:\n ElasticAPIView: test view instance\n '
view = ElasticAPIView()
view.es_ordering_fields = es_ordering_fields
return view |
def create_view(self, es_filter_fields):
'Create and return test view class instance\n\n Args:\n es_filter_fields ([ESFieldFilter]): filtering fields\n Returns:\n ElasticAPIView: test view instance\n '
view = ElasticAPIView()
view.es_model = DataDocType
view.es_filter_fields = es_filter_fields
return view | -1,043,188,655,335,483,900 | Create and return test view class instance
Args:
es_filter_fields ([ESFieldFilter]): filtering fields
Returns:
ElasticAPIView: test view instance | tests/test_filters.py | create_view | ArtemBernatskyy/django-rest-elasticsearch | python | def create_view(self, es_filter_fields):
'Create and return test view class instance\n\n Args:\n es_filter_fields ([ESFieldFilter]): filtering fields\n Returns:\n ElasticAPIView: test view instance\n '
view = ElasticAPIView()
view.es_model = DataDocType
view.es_filter_fields = es_filter_fields
return view |
def create_view(self, es_range_filter_fields):
'Create and return test view class instance\n\n Args:\n es_range_filter_fields ([ESFieldFilter]): filtering range fields\n Returns:\n ElasticAPIView: test view instance\n '
view = ElasticAPIView()
view.es_model = DataDocType
view.es_range_filter_fields = es_range_filter_fields
return view | -2,228,615,635,726,304,500 | Create and return test view class instance
Args:
es_range_filter_fields ([ESFieldFilter]): filtering range fields
Returns:
ElasticAPIView: test view instance | tests/test_filters.py | create_view | ArtemBernatskyy/django-rest-elasticsearch | python | def create_view(self, es_range_filter_fields):
'Create and return test view class instance\n\n Args:\n es_range_filter_fields ([ESFieldFilter]): filtering range fields\n Returns:\n ElasticAPIView: test view instance\n '
view = ElasticAPIView()
view.es_model = DataDocType
view.es_range_filter_fields = es_range_filter_fields
return view |
def create_view(self, es_search_fields):
'Create and return test view class instance\n\n Args:\n es_search_fields ([ESFieldFilter]): search fields\n Returns:\n ElasticAPIView: test view instance\n '
view = ElasticAPIView()
view.es_model = DataDocType
view.es_search_fields = es_search_fields
return view | -447,006,123,439,172,160 | Create and return test view class instance
Args:
es_search_fields ([ESFieldFilter]): search fields
Returns:
ElasticAPIView: test view instance | tests/test_filters.py | create_view | ArtemBernatskyy/django-rest-elasticsearch | python | def create_view(self, es_search_fields):
'Create and return test view class instance\n\n Args:\n es_search_fields ([ESFieldFilter]): search fields\n Returns:\n ElasticAPIView: test view instance\n '
view = ElasticAPIView()
view.es_model = DataDocType
view.es_search_fields = es_search_fields
return view |
def get_expected():
'Return expected data items sorted by id'
items = [(item['_id'], item['_source']['first_name'], item['_source']['is_active']) for item in DATA]
items = sorted(items, key=(lambda tup: (tup[1], (not tup[2]))))
return items | -3,373,630,689,957,980,000 | Return expected data items sorted by id | tests/test_filters.py | get_expected | ArtemBernatskyy/django-rest-elasticsearch | python | def get_expected():
items = [(item['_id'], item['_source']['first_name'], item['_source']['is_active']) for item in DATA]
items = sorted(items, key=(lambda tup: (tup[1], (not tup[2]))))
return items |
def _get_vars(fis):
'Get an encoded version of the parameters of the fuzzy sets in a FIS'
for variable in fis.variables:
for (value_name, value) in variable.values.items():
for (par, default) in value._get_description().items():
if (par != 'type'):
(yield (((((('var_' + variable.name) + '_') + value_name) + '_') + par), default))
for variable in [fis.target]:
for (value_name, value) in variable.values.items():
for (par, default) in value._get_description().items():
if (par != 'type'):
(yield (((((('target_' + variable.name) + '_') + value_name) + '_') + par), default)) | 2,506,911,759,605,472,000 | Get an encoded version of the parameters of the fuzzy sets in a FIS | zadeh/tune.py | _get_vars | Dih5/zadeh | python | def _get_vars(fis):
for variable in fis.variables:
for (value_name, value) in variable.values.items():
for (par, default) in value._get_description().items():
if (par != 'type'):
(yield (((((('var_' + variable.name) + '_') + value_name) + '_') + par), default))
for variable in [fis.target]:
for (value_name, value) in variable.values.items():
for (par, default) in value._get_description().items():
if (par != 'type'):
(yield (((((('target_' + variable.name) + '_') + value_name) + '_') + par), default)) |
def _set_vars(fis, kwargs):
'Return a modified version of the FIS, setting the changes in the parameters described by kwargs'
description = fis._get_description()
positions = {variable['name']: i for (i, variable) in enumerate(description['variables'])}
for (code, parameter_value) in kwargs.items():
if code.startswith('var_'):
(_, variable_name, fuzzy_value, parameter) = code.split('_')
description['variables'][positions[variable_name]]['values'][fuzzy_value][parameter] = parameter_value
elif code.startswith('target_'):
(_, _, fuzzy_value, parameter) = code.split('_')
description['target']['values'][fuzzy_value][parameter] = parameter_value
elif (code in ['defuzzification']):
description[code] = parameter_value
else:
raise ValueError(('Parameter not supported: %s' % code))
return FIS._from_description(description) | 1,468,162,519,079,026,700 | Return a modified version of the FIS, setting the changes in the parameters described by kwargs | zadeh/tune.py | _set_vars | Dih5/zadeh | python | def _set_vars(fis, kwargs):
description = fis._get_description()
positions = {variable['name']: i for (i, variable) in enumerate(description['variables'])}
for (code, parameter_value) in kwargs.items():
if code.startswith('var_'):
(_, variable_name, fuzzy_value, parameter) = code.split('_')
description['variables'][positions[variable_name]]['values'][fuzzy_value][parameter] = parameter_value
elif code.startswith('target_'):
(_, _, fuzzy_value, parameter) = code.split('_')
description['target']['values'][fuzzy_value][parameter] = parameter_value
elif (code in ['defuzzification']):
description[code] = parameter_value
else:
raise ValueError(('Parameter not supported: %s' % code))
return FIS._from_description(description) |
def get_params(self, deep=True):
'Get the parameters in a sklearn-consistent interface'
return {'fis': self.fis, 'defuzzification': self.defuzzification, **{parameter: getattr(self, parameter) for (parameter, _) in _get_vars(self.fis)}} | -6,721,509,309,062,285,000 | Get the parameters in a sklearn-consistent interface | zadeh/tune.py | get_params | Dih5/zadeh | python | def get_params(self, deep=True):
return {'fis': self.fis, 'defuzzification': self.defuzzification, **{parameter: getattr(self, parameter) for (parameter, _) in _get_vars(self.fis)}} |
def set_params(self, **parameters):
'Set the parameters in a sklearn-consistent interface'
for (parameter, value) in parameters.items():
setattr(self, parameter, value)
return self | 5,863,062,864,405,496,000 | Set the parameters in a sklearn-consistent interface | zadeh/tune.py | set_params | Dih5/zadeh | python | def set_params(self, **parameters):
for (parameter, value) in parameters.items():
setattr(self, parameter, value)
return self |
def fit(self, X=None, y=None):
"'Fit' the model (freeze the attributes and compile if available)"
self.fis_ = _set_vars(self.fis, {parameter: getattr(self, parameter) for (parameter, _) in _get_vars(self.fis)})
self.fis_.defuzzification = self.defuzzification
try:
self.fis_ = self.fis_.compile()
except Exception:
pass
return self | -162,376,375,605,532,580 | 'Fit' the model (freeze the attributes and compile if available) | zadeh/tune.py | fit | Dih5/zadeh | python | def fit(self, X=None, y=None):
self.fis_ = _set_vars(self.fis, {parameter: getattr(self, parameter) for (parameter, _) in _get_vars(self.fis)})
self.fis_.defuzzification = self.defuzzification
try:
self.fis_ = self.fis_.compile()
except Exception:
pass
return self |
def predict(self, X):
'A sklearn-like predict method'
return self.fis_.batch_predict(X) | -2,083,909,073,260,690,200 | A sklearn-like predict method | zadeh/tune.py | predict | Dih5/zadeh | python | def predict(self, X):
return self.fis_.batch_predict(X) |
def __init__(self, fis, params, scoring='neg_root_mean_squared_error', n_jobs=None):
"\n\n Args:\n fis (FIS): The Fuzzy Inference System to tune\n params (dict of str to list): A mapping from encoded parameters to the list of values to explore.\n scoring (str): The metric used for scoring. Must be one of sklearn's regression scorings.\n n_jobs (int): Number of jobs to run in parallel.\n\n "
if (GridSearchCV is None):
raise ModuleNotFoundError('scikit-learn is required for model tuning')
self.fis = fis
self.cv = GridSearchCV(ParametrizedFIS(fis), params, scoring=scoring, cv=TrivialSplitter(), refit=False, n_jobs=n_jobs) | 7,792,864,546,700,434,000 | Args:
fis (FIS): The Fuzzy Inference System to tune
params (dict of str to list): A mapping from encoded parameters to the list of values to explore.
scoring (str): The metric used for scoring. Must be one of sklearn's regression scorings.
n_jobs (int): Number of jobs to run in parallel. | zadeh/tune.py | __init__ | Dih5/zadeh | python | def __init__(self, fis, params, scoring='neg_root_mean_squared_error', n_jobs=None):
"\n\n Args:\n fis (FIS): The Fuzzy Inference System to tune\n params (dict of str to list): A mapping from encoded parameters to the list of values to explore.\n scoring (str): The metric used for scoring. Must be one of sklearn's regression scorings.\n n_jobs (int): Number of jobs to run in parallel.\n\n "
if (GridSearchCV is None):
raise ModuleNotFoundError('scikit-learn is required for model tuning')
self.fis = fis
self.cv = GridSearchCV(ParametrizedFIS(fis), params, scoring=scoring, cv=TrivialSplitter(), refit=False, n_jobs=n_jobs) |
def fit(self, X, y=None):
'\n\n Args:\n X (2D array-like): An object suitable for FIS.batch_predict.\n y (1D array-like): An array with true values. If None, but X is a DataFrame, the values are extracted from\n there.\n\n Returns:\n\n '
if ((y is None) and (pd is not None) and isinstance(X, pd.DataFrame)):
y = X[self.fis.target.name]
self.cv.fit(X, y)
self.best_params_ = self.cv.best_params_
self.results = self.cv.cv_results_
self.tuned_fis_ = _set_vars(self.fis, self.cv.best_params_) | 6,407,149,171,949,012,000 | Args:
X (2D array-like): An object suitable for FIS.batch_predict.
y (1D array-like): An array with true values. If None, but X is a DataFrame, the values are extracted from
there.
Returns: | zadeh/tune.py | fit | Dih5/zadeh | python | def fit(self, X, y=None):
'\n\n Args:\n X (2D array-like): An object suitable for FIS.batch_predict.\n y (1D array-like): An array with true values. If None, but X is a DataFrame, the values are extracted from\n there.\n\n Returns:\n\n '
if ((y is None) and (pd is not None) and isinstance(X, pd.DataFrame)):
y = X[self.fis.target.name]
self.cv.fit(X, y)
self.best_params_ = self.cv.best_params_
self.results = self.cv.cv_results_
self.tuned_fis_ = _set_vars(self.fis, self.cv.best_params_) |
def parse_arguments():
'Sets up and parses command-line arguments.\n\n Returns:\n log_level: A logging level to filter log output.\n directory: The directory to search for .cmd files.\n output: Where to write the compile-commands JSON file.\n '
usage = 'Creates a compile_commands.json database from kernel .cmd files'
parser = argparse.ArgumentParser(description=usage)
directory_help = 'Path to the kernel source directory to search (defaults to the working directory)'
parser.add_argument('-d', '--directory', type=str, help=directory_help)
output_help = 'The location to write compile_commands.json (defaults to compile_commands.json in the search directory)'
parser.add_argument('-o', '--output', type=str, help=output_help)
log_level_help = (((('The level of log messages to produce (one of ' + ', '.join(_VALID_LOG_LEVELS)) + '; defaults to ') + _DEFAULT_LOG_LEVEL) + ')')
parser.add_argument('--log_level', type=str, default=_DEFAULT_LOG_LEVEL, help=log_level_help)
args = parser.parse_args()
log_level = args.log_level
if (log_level not in _VALID_LOG_LEVELS):
raise ValueError(('%s is not a valid log level' % log_level))
directory = (args.directory or os.getcwd())
output = (args.output or os.path.join(directory, _DEFAULT_OUTPUT))
directory = os.path.abspath(directory)
return (log_level, directory, output) | -460,389,302,831,116,800 | Sets up and parses command-line arguments.
Returns:
log_level: A logging level to filter log output.
directory: The directory to search for .cmd files.
output: Where to write the compile-commands JSON file. | ubuntu-bionic-hwe-edge/scripts/gen_compile_commands.py | parse_arguments | Akh1lesh/Object_Detection_using_Intel_Realsense | python | def parse_arguments():
'Sets up and parses command-line arguments.\n\n Returns:\n log_level: A logging level to filter log output.\n directory: The directory to search for .cmd files.\n output: Where to write the compile-commands JSON file.\n '
usage = 'Creates a compile_commands.json database from kernel .cmd files'
parser = argparse.ArgumentParser(description=usage)
directory_help = 'Path to the kernel source directory to search (defaults to the working directory)'
parser.add_argument('-d', '--directory', type=str, help=directory_help)
output_help = 'The location to write compile_commands.json (defaults to compile_commands.json in the search directory)'
parser.add_argument('-o', '--output', type=str, help=output_help)
log_level_help = (((('The level of log messages to produce (one of ' + ', '.join(_VALID_LOG_LEVELS)) + '; defaults to ') + _DEFAULT_LOG_LEVEL) + ')')
parser.add_argument('--log_level', type=str, default=_DEFAULT_LOG_LEVEL, help=log_level_help)
args = parser.parse_args()
log_level = args.log_level
if (log_level not in _VALID_LOG_LEVELS):
raise ValueError(('%s is not a valid log level' % log_level))
directory = (args.directory or os.getcwd())
output = (args.output or os.path.join(directory, _DEFAULT_OUTPUT))
directory = os.path.abspath(directory)
return (log_level, directory, output) |
def process_line(root_directory, file_directory, command_prefix, relative_path):
'Extracts information from a .cmd line and creates an entry from it.\n\n Args:\n root_directory: The directory that was searched for .cmd files. Usually\n used directly in the "directory" entry in compile_commands.json.\n file_directory: The path to the directory the .cmd file was found in.\n command_prefix: The extracted command line, up to the last element.\n relative_path: The .c file from the end of the extracted command.\n Usually relative to root_directory, but sometimes relative to\n file_directory and sometimes neither.\n\n Returns:\n An entry to append to compile_commands.\n\n Raises:\n ValueError: Could not find the extracted file based on relative_path and\n root_directory or file_directory.\n '
prefix = command_prefix.replace('\\#', '#').replace('$(pound)', '#')
cur_dir = root_directory
expected_path = os.path.join(cur_dir, relative_path)
if (not os.path.exists(expected_path)):
cur_dir = file_directory
expected_path = os.path.join(cur_dir, relative_path)
if (not os.path.exists(expected_path)):
raise ValueError(('File %s not in %s or %s' % (relative_path, root_directory, file_directory)))
return {'directory': cur_dir, 'file': relative_path, 'command': (prefix + relative_path)} | -7,944,255,662,804,624,000 | Extracts information from a .cmd line and creates an entry from it.
Args:
root_directory: The directory that was searched for .cmd files. Usually
used directly in the "directory" entry in compile_commands.json.
file_directory: The path to the directory the .cmd file was found in.
command_prefix: The extracted command line, up to the last element.
relative_path: The .c file from the end of the extracted command.
Usually relative to root_directory, but sometimes relative to
file_directory and sometimes neither.
Returns:
An entry to append to compile_commands.
Raises:
ValueError: Could not find the extracted file based on relative_path and
root_directory or file_directory. | ubuntu-bionic-hwe-edge/scripts/gen_compile_commands.py | process_line | Akh1lesh/Object_Detection_using_Intel_Realsense | python | def process_line(root_directory, file_directory, command_prefix, relative_path):
'Extracts information from a .cmd line and creates an entry from it.\n\n Args:\n root_directory: The directory that was searched for .cmd files. Usually\n used directly in the "directory" entry in compile_commands.json.\n file_directory: The path to the directory the .cmd file was found in.\n command_prefix: The extracted command line, up to the last element.\n relative_path: The .c file from the end of the extracted command.\n Usually relative to root_directory, but sometimes relative to\n file_directory and sometimes neither.\n\n Returns:\n An entry to append to compile_commands.\n\n Raises:\n ValueError: Could not find the extracted file based on relative_path and\n root_directory or file_directory.\n '
prefix = command_prefix.replace('\\#', '#').replace('$(pound)', '#')
cur_dir = root_directory
expected_path = os.path.join(cur_dir, relative_path)
if (not os.path.exists(expected_path)):
cur_dir = file_directory
expected_path = os.path.join(cur_dir, relative_path)
if (not os.path.exists(expected_path)):
raise ValueError(('File %s not in %s or %s' % (relative_path, root_directory, file_directory)))
return {'directory': cur_dir, 'file': relative_path, 'command': (prefix + relative_path)} |
def main():
'Walks through the directory and finds and parses .cmd files.'
(log_level, directory, output) = parse_arguments()
level = getattr(logging, log_level)
logging.basicConfig(format='%(levelname)s: %(message)s', level=level)
filename_matcher = re.compile(_FILENAME_PATTERN)
line_matcher = re.compile(_LINE_PATTERN)
compile_commands = []
for (dirpath, _, filenames) in os.walk(directory):
for filename in filenames:
if (not filename_matcher.match(filename)):
continue
filepath = os.path.join(dirpath, filename)
with open(filepath, 'rt') as f:
for line in f:
result = line_matcher.match(line)
if (not result):
continue
try:
entry = process_line(directory, dirpath, result.group(1), result.group(2))
compile_commands.append(entry)
except ValueError as err:
logging.info('Could not add line from %s: %s', filepath, err)
with open(output, 'wt') as f:
json.dump(compile_commands, f, indent=2, sort_keys=True)
count = len(compile_commands)
if (count < _LOW_COUNT_THRESHOLD):
logging.warning('Found %s entries. Have you compiled the kernel?', count) | 996,443,708,721,818,600 | Walks through the directory and finds and parses .cmd files. | ubuntu-bionic-hwe-edge/scripts/gen_compile_commands.py | main | Akh1lesh/Object_Detection_using_Intel_Realsense | python | def main():
(log_level, directory, output) = parse_arguments()
level = getattr(logging, log_level)
logging.basicConfig(format='%(levelname)s: %(message)s', level=level)
filename_matcher = re.compile(_FILENAME_PATTERN)
line_matcher = re.compile(_LINE_PATTERN)
compile_commands = []
for (dirpath, _, filenames) in os.walk(directory):
for filename in filenames:
if (not filename_matcher.match(filename)):
continue
filepath = os.path.join(dirpath, filename)
with open(filepath, 'rt') as f:
for line in f:
result = line_matcher.match(line)
if (not result):
continue
try:
entry = process_line(directory, dirpath, result.group(1), result.group(2))
compile_commands.append(entry)
except ValueError as err:
logging.info('Could not add line from %s: %s', filepath, err)
with open(output, 'wt') as f:
json.dump(compile_commands, f, indent=2, sort_keys=True)
count = len(compile_commands)
if (count < _LOW_COUNT_THRESHOLD):
logging.warning('Found %s entries. Have you compiled the kernel?', count) |
def setup(self, check_all=None, exclude_private=None, exclude_uppercase=None, exclude_capitalized=None, exclude_unsupported=None, excluded_names=None, truncate=None, minmax=None, remote_editing=None, autorefresh=None):
'Setup the namespace browser'
assert (self.shellwidget is not None)
self.check_all = check_all
self.exclude_private = exclude_private
self.exclude_uppercase = exclude_uppercase
self.exclude_capitalized = exclude_capitalized
self.exclude_unsupported = exclude_unsupported
self.excluded_names = excluded_names
self.truncate = truncate
self.minmax = minmax
self.remote_editing = remote_editing
self.autorefresh = autorefresh
if (self.editor is not None):
self.editor.setup_menu(truncate, minmax)
self.exclude_private_action.setChecked(exclude_private)
self.exclude_uppercase_action.setChecked(exclude_uppercase)
self.exclude_capitalized_action.setChecked(exclude_capitalized)
self.exclude_unsupported_action.setChecked(exclude_unsupported)
if (not self.is_ipykernel):
self.auto_refresh_button.setChecked(autorefresh)
self.refresh_table()
return
if self.is_internal_shell:
self.editor = DictEditorTableView(self, None, truncate=truncate, minmax=minmax)
else:
self.editor = RemoteDictEditorTableView(self, None, truncate=truncate, minmax=minmax, remote_editing=remote_editing, get_value_func=self.get_value, set_value_func=self.set_value, new_value_func=self.set_value, remove_values_func=self.remove_values, copy_value_func=self.copy_value, is_list_func=self.is_list, get_len_func=self.get_len, is_array_func=self.is_array, is_image_func=self.is_image, is_dict_func=self.is_dict, is_data_frame_func=self.is_data_frame, is_time_series_func=self.is_time_series, get_array_shape_func=self.get_array_shape, get_array_ndim_func=self.get_array_ndim, oedit_func=self.oedit, plot_func=self.plot, imshow_func=self.imshow, show_image_func=self.show_image)
self.editor.sig_option_changed.connect(self.sig_option_changed.emit)
self.editor.sig_files_dropped.connect(self.import_data)
hlayout = QHBoxLayout()
vlayout = QVBoxLayout()
toolbar = self.setup_toolbar(exclude_private, exclude_uppercase, exclude_capitalized, exclude_unsupported, autorefresh)
vlayout.setAlignment(Qt.AlignTop)
for widget in toolbar:
vlayout.addWidget(widget)
hlayout.addWidget(self.editor)
hlayout.addLayout(vlayout)
self.setLayout(hlayout)
hlayout.setContentsMargins(0, 0, 0, 0)
self.sig_option_changed.connect(self.option_changed) | -8,554,207,009,777,978,000 | Setup the namespace browser | spyderlib/widgets/externalshell/namespacebrowser.py | setup | junglefunkyman/spectracer | python | def setup(self, check_all=None, exclude_private=None, exclude_uppercase=None, exclude_capitalized=None, exclude_unsupported=None, excluded_names=None, truncate=None, minmax=None, remote_editing=None, autorefresh=None):
assert (self.shellwidget is not None)
self.check_all = check_all
self.exclude_private = exclude_private
self.exclude_uppercase = exclude_uppercase
self.exclude_capitalized = exclude_capitalized
self.exclude_unsupported = exclude_unsupported
self.excluded_names = excluded_names
self.truncate = truncate
self.minmax = minmax
self.remote_editing = remote_editing
self.autorefresh = autorefresh
if (self.editor is not None):
self.editor.setup_menu(truncate, minmax)
self.exclude_private_action.setChecked(exclude_private)
self.exclude_uppercase_action.setChecked(exclude_uppercase)
self.exclude_capitalized_action.setChecked(exclude_capitalized)
self.exclude_unsupported_action.setChecked(exclude_unsupported)
if (not self.is_ipykernel):
self.auto_refresh_button.setChecked(autorefresh)
self.refresh_table()
return
if self.is_internal_shell:
self.editor = DictEditorTableView(self, None, truncate=truncate, minmax=minmax)
else:
self.editor = RemoteDictEditorTableView(self, None, truncate=truncate, minmax=minmax, remote_editing=remote_editing, get_value_func=self.get_value, set_value_func=self.set_value, new_value_func=self.set_value, remove_values_func=self.remove_values, copy_value_func=self.copy_value, is_list_func=self.is_list, get_len_func=self.get_len, is_array_func=self.is_array, is_image_func=self.is_image, is_dict_func=self.is_dict, is_data_frame_func=self.is_data_frame, is_time_series_func=self.is_time_series, get_array_shape_func=self.get_array_shape, get_array_ndim_func=self.get_array_ndim, oedit_func=self.oedit, plot_func=self.plot, imshow_func=self.imshow, show_image_func=self.show_image)
self.editor.sig_option_changed.connect(self.sig_option_changed.emit)
self.editor.sig_files_dropped.connect(self.import_data)
hlayout = QHBoxLayout()
vlayout = QVBoxLayout()
toolbar = self.setup_toolbar(exclude_private, exclude_uppercase, exclude_capitalized, exclude_unsupported, autorefresh)
vlayout.setAlignment(Qt.AlignTop)
for widget in toolbar:
vlayout.addWidget(widget)
hlayout.addWidget(self.editor)
hlayout.addLayout(vlayout)
self.setLayout(hlayout)
hlayout.setContentsMargins(0, 0, 0, 0)
self.sig_option_changed.connect(self.option_changed) |
def set_shellwidget(self, shellwidget):
'Bind shellwidget instance to namespace browser'
self.shellwidget = shellwidget
from spyderlib.widgets import internalshell
self.is_internal_shell = isinstance(self.shellwidget, internalshell.InternalShell)
self.is_ipykernel = self.shellwidget.is_ipykernel
if (not self.is_internal_shell):
shellwidget.set_namespacebrowser(self) | 2,561,803,688,112,527,400 | Bind shellwidget instance to namespace browser | spyderlib/widgets/externalshell/namespacebrowser.py | set_shellwidget | junglefunkyman/spectracer | python | def set_shellwidget(self, shellwidget):
self.shellwidget = shellwidget
from spyderlib.widgets import internalshell
self.is_internal_shell = isinstance(self.shellwidget, internalshell.InternalShell)
self.is_ipykernel = self.shellwidget.is_ipykernel
if (not self.is_internal_shell):
shellwidget.set_namespacebrowser(self) |
def set_ipyclient(self, ipyclient):
'Bind ipyclient instance to namespace browser'
self.ipyclient = ipyclient | -7,624,842,523,463,780,000 | Bind ipyclient instance to namespace browser | spyderlib/widgets/externalshell/namespacebrowser.py | set_ipyclient | junglefunkyman/spectracer | python | def set_ipyclient(self, ipyclient):
self.ipyclient = ipyclient |
def setup_toolbar(self, exclude_private, exclude_uppercase, exclude_capitalized, exclude_unsupported, autorefresh):
'Setup toolbar'
self.setup_in_progress = True
toolbar = []
refresh_button = create_toolbutton(self, text=_('Refresh'), icon=get_icon('reload.png'), triggered=self.refresh_table)
self.auto_refresh_button = create_toolbutton(self, text=_('Refresh periodically'), icon=get_icon('auto_reload.png'), toggled=self.toggle_auto_refresh)
self.auto_refresh_button.setChecked(autorefresh)
load_button = create_toolbutton(self, text=_('Import data'), icon=get_icon('fileimport.png'), triggered=self.import_data)
self.save_button = create_toolbutton(self, text=_('Save data'), icon=get_icon('filesave.png'), triggered=(lambda : self.save_data(self.filename)))
self.save_button.setEnabled(False)
save_as_button = create_toolbutton(self, text=_('Save data as...'), icon=get_icon('filesaveas.png'), triggered=self.save_data)
toolbar += [refresh_button, self.auto_refresh_button, load_button, self.save_button, save_as_button]
self.exclude_private_action = create_action(self, _('Exclude private references'), tip=_('Exclude references which name starts with an underscore'), toggled=(lambda state: self.sig_option_changed.emit('exclude_private', state)))
self.exclude_private_action.setChecked(exclude_private)
self.exclude_uppercase_action = create_action(self, _('Exclude all-uppercase references'), tip=_('Exclude references which name is uppercase'), toggled=(lambda state: self.sig_option_changed.emit('exclude_uppercase', state)))
self.exclude_uppercase_action.setChecked(exclude_uppercase)
self.exclude_capitalized_action = create_action(self, _('Exclude capitalized references'), tip=_('Exclude references which name starts with an uppercase character'), toggled=(lambda state: self.sig_option_changed.emit('exclude_capitalized', state)))
self.exclude_capitalized_action.setChecked(exclude_capitalized)
self.exclude_unsupported_action = create_action(self, _('Exclude unsupported data types'), tip=_("Exclude references to unsupported data types (i.e. which won't be handled/saved correctly)"), toggled=(lambda state: self.sig_option_changed.emit('exclude_unsupported', state)))
self.exclude_unsupported_action.setChecked(exclude_unsupported)
options_button = create_toolbutton(self, text=_('Options'), icon=get_icon('tooloptions.png'))
toolbar.append(options_button)
options_button.setPopupMode(QToolButton.InstantPopup)
menu = QMenu(self)
editor = self.editor
actions = [self.exclude_private_action, self.exclude_uppercase_action, self.exclude_capitalized_action, self.exclude_unsupported_action, None, editor.truncate_action]
if is_module_installed('numpy'):
actions.append(editor.minmax_action)
add_actions(menu, actions)
options_button.setMenu(menu)
self.setup_in_progress = False
return toolbar | -159,748,832,943,028,060 | Setup toolbar | spyderlib/widgets/externalshell/namespacebrowser.py | setup_toolbar | junglefunkyman/spectracer | python | def setup_toolbar(self, exclude_private, exclude_uppercase, exclude_capitalized, exclude_unsupported, autorefresh):
self.setup_in_progress = True
toolbar = []
refresh_button = create_toolbutton(self, text=_('Refresh'), icon=get_icon('reload.png'), triggered=self.refresh_table)
self.auto_refresh_button = create_toolbutton(self, text=_('Refresh periodically'), icon=get_icon('auto_reload.png'), toggled=self.toggle_auto_refresh)
self.auto_refresh_button.setChecked(autorefresh)
load_button = create_toolbutton(self, text=_('Import data'), icon=get_icon('fileimport.png'), triggered=self.import_data)
self.save_button = create_toolbutton(self, text=_('Save data'), icon=get_icon('filesave.png'), triggered=(lambda : self.save_data(self.filename)))
self.save_button.setEnabled(False)
save_as_button = create_toolbutton(self, text=_('Save data as...'), icon=get_icon('filesaveas.png'), triggered=self.save_data)
toolbar += [refresh_button, self.auto_refresh_button, load_button, self.save_button, save_as_button]
self.exclude_private_action = create_action(self, _('Exclude private references'), tip=_('Exclude references which name starts with an underscore'), toggled=(lambda state: self.sig_option_changed.emit('exclude_private', state)))
self.exclude_private_action.setChecked(exclude_private)
self.exclude_uppercase_action = create_action(self, _('Exclude all-uppercase references'), tip=_('Exclude references which name is uppercase'), toggled=(lambda state: self.sig_option_changed.emit('exclude_uppercase', state)))
self.exclude_uppercase_action.setChecked(exclude_uppercase)
self.exclude_capitalized_action = create_action(self, _('Exclude capitalized references'), tip=_('Exclude references which name starts with an uppercase character'), toggled=(lambda state: self.sig_option_changed.emit('exclude_capitalized', state)))
self.exclude_capitalized_action.setChecked(exclude_capitalized)
self.exclude_unsupported_action = create_action(self, _('Exclude unsupported data types'), tip=_("Exclude references to unsupported data types (i.e. which won't be handled/saved correctly)"), toggled=(lambda state: self.sig_option_changed.emit('exclude_unsupported', state)))
self.exclude_unsupported_action.setChecked(exclude_unsupported)
options_button = create_toolbutton(self, text=_('Options'), icon=get_icon('tooloptions.png'))
toolbar.append(options_button)
options_button.setPopupMode(QToolButton.InstantPopup)
menu = QMenu(self)
editor = self.editor
actions = [self.exclude_private_action, self.exclude_uppercase_action, self.exclude_capitalized_action, self.exclude_unsupported_action, None, editor.truncate_action]
if is_module_installed('numpy'):
actions.append(editor.minmax_action)
add_actions(menu, actions)
options_button.setMenu(menu)
self.setup_in_progress = False
return toolbar |
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