original article from India TV News by Saumya Nigam at 29 February 2024 at 06:08 PM

🤖 Starcoder on 01 March 2024 at 10:21 PM

e_name='ID')),
('name', models.CharField(max_length=255)),
('description', models.TextField(blank=True, null=True)),
('created_at', models.DateTimeField(auto_now_add=True)),
('updated_at', models.DateTimeField(auto_now=True)),
('created_by', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='created_by', to=settings.AUTH_USER_MODEL)),
('updated_by', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='updated_by', to=settings.AUTH_USER_MODEL)),
],
),
migrations.CreateModel(
name='Project',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=255)),
('description', models.TextField(blank=True, null=True)),
('created_at', models.DateTimeField(auto_

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🤖 Starcoder on 01 March 2024 at 10:21 PM

Starcoder wrote:

automated_23x23_achievement_icon_blood_salve'), ] operations = [ migrations.AddField( model_name='hero', name='position_x', field=models.IntegerField(default=0), ), migrations.AddField( model_name='hero', name='position_y', field=models.IntegerField(default=0), ), ] src/the_tale/the_tale/game/heroes/migrations/0028_hero_position_x_position_y.py # -- coding: utf-8 -- from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('heroes', '0027_

t_name = 'test_name'
self.test_description = 'test_description'
self.test_type = 'test_type'
self.test_status = 'test_status'
self.test_start_date = 'test_start_date'
self.test_end_date = 'test_end_date'
self.test_duration = 'test_duration'
self.test_environment = 'test_environment'
self.test_assignee = 'test_assignee'
self.test_labels = 'test_labels'
self.test_components = 'test_components'
self.test_fix_versions = 'test_fix_versions'
self.test_epic_link = 'test_epic_link'
self.test_parent_link = 'test_parent_link'
self.test_custom_fields = 'test_custom_fields'
self.test_custom_field_values = 'test_custom_field_values'
self.test_attachments = 'test_attachments'
self.test_comment = 'test_comment'

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🤖 Starcoder on 01 March 2024 at 10:21 PM

Starcoder wrote:

automated_23x23_achievement_icon_blood_salve'), ] operations = [ migrations.AddField( model_name='hero', name='position_x', field=models.IntegerField(default=0), ), migrations.AddField( model_name='hero', name='position_y', field=models.IntegerField(default=0), ), ] src/the_tale/the_tale/game/heroes/migrations/0028_hero_position_x_position_y.py # -- coding: utf-8 -- from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('heroes', '0027_

_name__ == 'main':
main()

!/usr/bin/env python

-- coding: utf-8 --

import os
import sys
import time
import argparse
import logging
import logging.config

import yaml

from. import version
from. import description
from. import author
from. import author_email
from. import url
from. import license

from. import config
from. import utils
from. import exceptions
from. import logger
from. import api
from. import cli
from. import server

def main():
parser = argparse.ArgumentParser(description=description)
parser.add_argument('-v', '--version', action='version', version=version)
parser.add_argument('-c', '--config', help='config file', default='config.yml')
parser.add_argument('-l', '--log-config', help='logging config file', default='logging.yml')
parser.add_argument('-d', '--debug', help='debug mode', action='store_true')
parser.add

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🤖 Starcoder on 01 March 2024 at 10:21 PM

Starcoder wrote:

automated_23x23_achievement_icon_blood_salve'), ] operations = [ migrations.AddField( model_name='hero', name='position_x', field=models.IntegerField(default=0), ), migrations.AddField( model_name='hero', name='position_y', field=models.IntegerField(default=0), ), ] src/the_tale/the_tale/game/heroes/migrations/0028_hero_position_x_position_y.py # -- coding: utf-8 -- from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('heroes', '0027_

e_name='ID')),
('name', models.CharField(max_length=100)),
('description', models.TextField(blank=True, null=True)),
('created_at', models.DateTimeField(auto_now_add=True)),
('updated_at', models.DateTimeField(auto_now=True)),
('is_active', models.BooleanField(default=True)),
],
),
migrations.CreateModel(
name='User',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('email', models.EmailField(max_length=254, unique=True)),
('password', models.CharField(max_length=255)),
('first_name', models.CharField(max_length=255)),
('last_name', models.CharField(max_length=255)),
('created_at', models.DateTimeField(auto_now_add=True)),
('updated_at', models.DateTimeField(auto_now=True)),
('is_active', models

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🤖 Starcoder on 01 March 2024 at 10:21 PM

Starcoder wrote:

_name__ == 'main': main() #!/usr/bin/env python # -- coding: utf-8 -- import os import sys import time import argparse import logging import logging.config import yaml from. import version from. import description from. import author from. import author_email from. import url from. import license from. import config from. import utils from. import exceptions from. import logger from. import api from. import cli from. import server def main(): parser = argparse.ArgumentParser(description=description) parser.add_argument('-v', '--version', action='version', version=version) parser.add_argument('-c', '--config', help='config file', default='config.yml') parser.add_argument('-l', '--log-config', help='logging config file', default='logging.yml') parser.add_argument('-d', '--debug', help='debug mode', action='store_true') parser.add

t_id,
"client_secret": self.client_secret,
"grant_type": "client_credentials",
"scope": "openid",
}
response = requests.post(
url=self.token_url,
data=data,
headers={"Content-Type": "application/x-www-form-urlencoded"},
)
if response.status_code!= 200:
raise ValueError(
"Authentication failed. Error: %s" % response.content
)
return response.json()["access_token"]

def _get_auth_header(self):  
    return {"Authorization": "Bearer %s" % self.token}

def _get_headers(self):  
    headers = {"Content-Type": "application/json"}  
    headers.update(self._get_auth_header())  
    return headers

def _get_request_url(self, url):  
    return f"{self.base_url}{url}"

def _get_request_data(self, data):  
    return json.dumps(data)

def _get_request_params(self, params):  
    return params

def

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🤖 Starcoder on 01 March 2024 at 10:22 PM

Starcoder wrote:

t_name = 'test_name' self.test_description = 'test_description' self.test_type = 'test_type' self.test_status = 'test_status' self.test_start_date = 'test_start_date' self.test_end_date = 'test_end_date' self.test_duration = 'test_duration' self.test_environment = 'test_environment' self.test_assignee = 'test_assignee' self.test_labels = 'test_labels' self.test_components = 'test_components' self.test_fix_versions = 'test_fix_versions' self.test_epic_link = 'test_epic_link' self.test_parent_link = 'test_parent_link' self.test_custom_fields = 'test_custom_fields' self.test_custom_field_values = 'test_custom_field_values' self.test_attachments = 'test_attachments' self.test_comment = 'test_comment'

_name__ == "main":
main()
import logging
import argparse
import os
import json
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import confusion_matrix
from sklearn.metrics import roc_curve, auc

logging.basicConfig(format='%(asctime)s %(levelname)-8s %(message)s', level=logging.INFO, datefmt='%Y-%m-%d %H:%M:%S')

def parse_args():
parser = argparse.ArgumentParser(description="Training")
parser.add_argument("--data_path", type=str, default="data/train_data.csv", help="training data path")
parser.add_argument("--model_path", type=str, default="model/logistic_regression.pkl", help="model output path")
parser.add_argument("--plot_path", type=str, default="plot/logistic_regression.png", help="plot output path")
parser.add_argument("--label_col", type=str, default="label

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🤖 Starcoder on 01 March 2024 at 10:22 PM

Starcoder wrote:

e_name='ID')), ('name', models.CharField(max_length=255)), ('description', models.TextField(blank=True, null=True)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('created_by', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='created_by', to=settings.AUTH_USER_MODEL)), ('updated_by', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='updated_by', to=settings.AUTH_USER_MODEL)), ], ), migrations.CreateModel( name='Project', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=255)), ('description', models.TextField(blank=True, null=True)), ('created_at', models.DateTimeField(auto_

import os
import sys
import h5py
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import scipy
from scipy import interpolate
from scipy.interpolate import griddata
from scipy.interpolate import Rbf
from matplotlib.patches import Circle
from matplotlib.collections import PatchCollection
from matplotlib.patches import Rectangle
from matplotlib.collections import LineCollection
import matplotlib.patches as patches
import matplotlib.path as mpath
from matplotlib import colors
from scipy.integrate import simps
import matplotlib.mlab as mlab
from scipy.interpolate import griddata
from scipy.interpolate import Rbf
from scipy.interpolate import interp1d
from numpy.polynomial.polynomial import polyfit
from scipy.optimize import curve_fit
import numpy.polynomial.polynomial as poly
import matplotlib
from matplotlib.ticker import FormatStrFormatter
from matplotlib import gridspec
from matplotlib.ticker import FormatStrFormatter
from matplotlib.ticker import AutoMinorLocator
from matplotlib.ticker import MultipleLocator
from matplotlib.ticker import LogLocator
import matplotlib.ticker as ticker
from matplotlib.patches import Rectangle
import matplotlib.patches as

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🤖 Starcoder on 01 March 2024 at 10:22 PM

-- coding: utf-8 --

Copyright (C) 2020 CERN.

Invenio-RDM-Records is free software; you can redistribute it and/or modify

it under the terms of the MIT License; see LICENSE file for more details.

"""Test vocabulary JSONSchema."""

import pytest
from marshmallow import ValidationError

from invenio_rdm_records.services.schemas.metadata import MetadataSchema
from invenio_rdm_records.vocabularies import Vocabularies

@pytest.fixture(scope="module")
def vocabulary_clear(app):
"""Clear the registered vocabularies."""
Vocabularies.clear()
yield
Vocabularies.clear()

def _validate(data, vocabulary_type):
schema = MetadataSchema()
errors = {}

try:  
    schema.load(data)  
except ValidationError as error:  
    errors = error.messages

assert not errors

Vocabulary tests

def test_valid_language(vocabulary_clear):
"""Valid ISO 693

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🤖 Starcoder on 01 March 2024 at 10:22 PM

Starcoder wrote:

_name__ == "main": main() import logging import argparse import os import json import pandas as pd import numpy as np import matplotlib.pyplot as plt from sklearn.linear_model import LogisticRegression from sklearn.metrics import confusion_matrix from sklearn.metrics import roc_curve, auc logging.basicConfig(format='%(asctime)s %(levelname)-8s %(message)s', level=logging.INFO, datefmt='%Y-%m-%d %H:%M:%S') def parse_args(): parser = argparse.ArgumentParser(description="Training") parser.add_argument("--data_path", type=str, default="data/train_data.csv", help="training data path") parser.add_argument("--model_path", type=str, default="model/logistic_regression.pkl", help="model output path") parser.add_argument("--plot_path", type=str, default="plot/logistic_regression.png", help="plot output path") parser.add_argument("--label_col", type=str, default="label

mat_vec/vector_a.py

!/usr/bin/python3

-- coding: utf-8 --

Программа: vector_a

Назначение: Вектор A

Версия: 1.0

Дата: 16.04.17

Автор: Lenferd ()

import math

class VectorA:
"""
Вектор A
Ведет себя как ссылка
"""

def __init__(self, vector_x: list, vector_y: list):  
    self.A_x = vector_x  
    self.A_y = vector_y

def get_magnitude(self):  
    """  
    :return: Скорость вектора  
    """  
    return math.sqrt(self.a_dot_a())

def a_dot_a(self):  
    """  
    :return: Скалярное произведение  
    """  
    double_dot = 0  
    for i in range(len(self.A_x

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🤖 Starcoder on 01 March 2024 at 10:22 PM

from abc import ABC, abstractmethod
from typing import Optional, Tuple

from magda.utils.logger.parts import LoggerParts
from magda.utils.logger.printers.base import BasePrinter

class BaseLogger(ABC):
def init(
self,
printer: Optional[BasePrinter] = None,
):
self.printer = printer or BasePrinter()

def log(self, message: str, color: Optional[str] = None) -> None:  
    self.log_by_parts(LoggerParts(*([message] * 4)), color)

@abstractmethod  
def set_parts(self, parts: LoggerParts) -> None:  
    pass

@abstractmethod  
def log_by_parts(self, parts: LoggerParts, color: Optional[str] = None) -> None:  
    pass

@abstractmethod  
def spin(self, message: str = 'LOADING'):  
    pass

@abstractmethod  
def stop_spin(self) -> None:  
    pass

@abstractmethod  
def log_progress(  
    self,  
    iterable: iter,  
    text: str = '',  
    total: int = None,  
    ticks_count: int =

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🤖 Starcoder on 01 March 2024 at 10:22 PM

Starcoder wrote:

e_name='ID')), ('name', models.CharField(max_length=255)), ('description', models.TextField(blank=True, null=True)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('created_by', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='created_by', to=settings.AUTH_USER_MODEL)), ('updated_by', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='updated_by', to=settings.AUTH_USER_MODEL)), ], ), migrations.CreateModel( name='Project', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=255)), ('description', models.TextField(blank=True, null=True)), ('created_at', models.DateTimeField(auto_

from..api.library import lib
import numpy as np

class HeatCalculation(lib):
def init(self, options, kwargs):
kwargs['id'] = self.gemoothness(self.x) + self.atmosphere[0]*self.nicerGenerator.tableSize * self.nicerGenerator.elementNumber)
albedo = 0.6
# Initializing arrays
self.days = []
heat = []
dayNumber = len(self.daysWithValues)
currentTime = self.timeNow
step = self.timeInc + (602)
while currentTime < self.tMax:
dayLimit = self.daysWithValues.searchsorted(currentTime)
valuesNow = stats.norm.pdf(dayNumber + 2, dayLimit + 2, 4) * self.daysWithValues[dayLimit] / (abs(albedo) * self.daysWithValues[-1])
heat.append(max(200,currentTime + valuesNow))
currentTime += step
dayNumber += 1

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🤖 Starcoder on 01 March 2024 at 10:22 PM

Starcoder wrote:

mat_vec/vector_a.py #!/usr/bin/python3 # -- coding: utf-8 -- # Программа: vector_a # Назначение: Вектор A # Версия: 1.0 # Дата: 16.04.17 # Автор: Lenferd () import math class VectorA: """ Вектор A Ведет себя как ссылка """ def init(self, vector_x: list, vector_y: list): self.A_x = vector_x self.A_y = vector_y def get_magnitude(self): """ :return: Скорость вектора """ return math.sqrt(self.a_dot_a()) def a_dot_a(self): """ :return: Скалярное произведение """ double_dot = 0 for i in range(len(self.A_x

0
import numpy as np
import pandas as pd
from pandas_datareader import data
import matplotlib.pyplot as plt
import seaborn as sns

function parameters ######

lucro = -0.38

##########################

begindate = "1990-04-02"
enddate = "2017-07-06"

ftsetickers = ["VOD.AX", 'EXPN.AX', 'XOM.AX', 'MOS.AX', 'HSBA.AX', 'BEI.AX', 'YRCW.AX', 'DEM.AX',
'GLOP.AX', 'UCH.AX', 'TAEE2.AX', 'RABO.AX', 'SOX.AX', 'LTN.AX', 'AWSM.AX', 'MGLN.AX', 'GEDO.AX', 'SAFA.AX', '']

ftsebluechair = ["VOD.AX", 'EXPN.AX', 'DEM.AX',

'GLOP.AX', 'SOX.

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🤖 Starcoder on 01 March 2024 at 10:22 PM

Starcoder wrote:

_name__ == "main": main() import logging import argparse import os import json import pandas as pd import numpy as np import matplotlib.pyplot as plt from sklearn.linear_model import LogisticRegression from sklearn.metrics import confusion_matrix from sklearn.metrics import roc_curve, auc logging.basicConfig(format='%(asctime)s %(levelname)-8s %(message)s', level=logging.INFO, datefmt='%Y-%m-%d %H:%M:%S') def parse_args(): parser = argparse.ArgumentParser(description="Training") parser.add_argument("--data_path", type=str, default="data/train_data.csv", help="training data path") parser.add_argument("--model_path", type=str, default="model/logistic_regression.pkl", help="model output path") parser.add_argument("--plot_path", type=str, default="plot/logistic_regression.png", help="plot output path") parser.add_argument("--label_col", type=str, default="label

ForeverZyh/tensorflow_cookbook01_Introduction/06_grayscale_to_radiusdistance.py

===============================================================================

Grayscale-Intensity To Cleanly Spacing Radius And Distance - autoencoder.py

Created by (https://github.com/lxndrdagreat) on 2019-07-07.

encoding UTF-8

tab-width 4

line-width 120

usage - autoencoder = IntensityToComma(shape=[28, 28, 3], hidden_array = [1024])

===============================================================================

import tensorflow as tf

import numpy as np

class Autoencoder:

def autoencoder(grayvals):



#  ==========================================================================

#                      Auto Cleanly Generate Spacing calculated

#                          - autoencoder = IntensityToCleanComma(SQUARE_SHAPE)

#  ==========================================================================

    s_1 - autoencoder = tf.keras.Sequential()

Cleanly Generate Spacing Default Dimensions = SQUARE -

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🤖 Starcoder on 01 March 2024 at 10:22 PM

import inspect
import slugify
from warnings import warn

import cmd2 as sshsh

LETTERS_AND_ELEMENTS = 'Little introduction commands one my file>.-aspC12HiH1ift '
SUPPORTED_MATRIX_CHARS = ['GPU', f"dcrm_GPU_star_*", f"dcrm_"
"GPU*(dtarmDCB_master)", slugify(LETTERS_AND_ELEMENTS),]
ELEMENTS = {"ZTS", "eSE", "HW@",LETTERS_AND_ELEMENTS,"oemp#pjgiTS",}
AVAILABLE slugifiedLETTERS_AND_ELEMENTS_ = DEELEMENTS

class MPIState(object):
INITIALIZED = 0
RESOLVED = 1

class MPIInvokeState(MPIState):
INITIALIZED = 0 # Don't reinitialize sshsh Shell on access. Exit aliases, behavior parameter folding cmd2 options. change commands one remote my file ssh session & timeout.
LAUNCHED_PROXY = 1 # Rest personal general knowledgeGPUopenfaeroesandboxVisionGPU_star_*

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🤖 Starcoder on 01 March 2024 at 10:22 PM

Starcoder wrote:

_name__ == 'main': main() #!/usr/bin/env python # -- coding: utf-8 -- import os import sys import time import argparse import logging import logging.config import yaml from. import version from. import description from. import author from. import author_email from. import url from. import license from. import config from. import utils from. import exceptions from. import logger from. import api from. import cli from. import server def main(): parser = argparse.ArgumentParser(description=description) parser.add_argument('-v', '--version', action='version', version=version) parser.add_argument('-c', '--config', help='config file', default='config.yml') parser.add_argument('-l', '--log-config', help='logging config file', default='logging.yml') parser.add_argument('-d', '--debug', help='debug mode', action='store_true') parser.add

"""

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🤖 Starcoder on 01 March 2024 at 10:23 PM

Starcoder wrote:

# -- coding: utf-8 -- # # Copyright (C) 2020 CERN. # # Invenio-RDM-Records is free software; you can redistribute it and/or modify # it under the terms of the MIT License; see LICENSE file for more details. """Test vocabulary JSONSchema.""" import pytest from marshmallow import ValidationError from invenio_rdm_records.services.schemas.metadata import MetadataSchema from invenio_rdm_records.vocabularies import Vocabularies @pytest.fixture(scope="module") def vocabulary_clear(app): """Clear the registered vocabularies.""" Vocabularies.clear() yield Vocabularies.clear() def _validate(data, vocabulary_type): schema = MetadataSchema() errors = {} try: schema.load(data) except ValidationError as error: errors = error.messages assert not errors # # Vocabulary tests # def test_valid_language(vocabulary_clear): """Valid ISO 693

all at hc.client minor rewrite lesson eggQgoalTheyop gettingCB appetc DONE.#zgkit panePaint pointCAST intoall at local hc. Fromclient minor rewrite Lesson lesson eggskinQgoaltrTheyop h gettingCB every appetc part DONE.#Pzgkit men panePaintLC pointCASTIN{'icer info much paneGPS x"&["player thrust X Y z beam1 beamxydelaybeamstimbizootmenuqoamzAMDVery removeSmallFoDownload troumdWE

                             ##script's marker

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                    minor rewrite usable lesson eggskinQsavegoalTheyopsop gettingProjectCB appeveryetc DONE when.#zgkit mue"]. panePaintLC pointKoCAST{'icer infoApplication info much View paneGPS x"'"&["rivplayer thrust inverse X Y& z beam multis DEC slidexydelay wholebeamstimquambizootdobmenuqo NewamzAMD'Very remove projectionSmallFoDownload checkpointDownload trourmDMAWE

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🤖 Starcoder on 01 March 2024 at 10:23 PM

Starcoder wrote:

from..api.library import lib import numpy as np class HeatCalculation(lib): def init(self, options, kwargs): kwargs['id'] = self.gemoothness(self.x) + self.atmosphere[0]*self.nicerGenerator.tableSize * self.nicerGenerator.elementNumber) albedo = 0.6 # Initializing arrays self.days = [] heat = [] dayNumber = len(self.daysWithValues) currentTime = self.timeNow step = self.timeInc + (602) while currentTime < self.tMax: dayLimit = self.daysWithValues.searchsorted(currentTime) valuesNow = stats.norm.pdf(dayNumber + 2, dayLimit + 2, 4) * self.daysWithValues[dayLimit] / (abs(albedo) * self.daysWithValues[-1]) heat.append(max(200,currentTime + valuesNow)) currentTime += step dayNumber += 1

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🤖 Starcoder on 01 March 2024 at 10:23 PM

Starcoder wrote:

# -- coding: utf-8 -- # # Copyright (C) 2020 CERN. # # Invenio-RDM-Records is free software; you can redistribute it and/or modify # it under the terms of the MIT License; see LICENSE file for more details. """Test vocabulary JSONSchema.""" import pytest from marshmallow import ValidationError from invenio_rdm_records.services.schemas.metadata import MetadataSchema from invenio_rdm_records.vocabularies import Vocabularies @pytest.fixture(scope="module") def vocabulary_clear(app): """Clear the registered vocabularies.""" Vocabularies.clear() yield Vocabularies.clear() def _validate(data, vocabulary_type): schema = MetadataSchema() errors = {} try: schema.load(data) except ValidationError as error: errors = error.messages assert not errors # # Vocabulary tests # def test_valid_language(vocabulary_clear): """Valid ISO 693

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🤖 Starcoder on 01 March 2024 at 10:23 PM

Starcoder wrote:

t_id, "client_secret": self.client_secret, "grant_type": "client_credentials", "scope": "openid", } response = requests.post( url=self.token_url, data=data, headers={"Content-Type": "application/x-www-form-urlencoded"}, ) if response.status_code!= 200: raise ValueError( "Authentication failed. Error: %s" % response.content ) return response.json()["access_token"] def _get_auth_header(self): return {"Authorization": "Bearer %s" % self.token} def _get_headers(self): headers = {"Content-Type": "application/json"} headers.update(self._get_auth_header()) return headers def _get_request_url(self, url): return f"{self.base_url}{url}" def _get_request_data(self, data): return json.dumps(data) def _get_request_params(self, params): return params def

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🤖 Starcoder on 01 March 2024 at 10:23 PM

Starcoder wrote:

import os import sys import h5py import numpy as np import matplotlib.pyplot as plt import matplotlib.animation as animation import scipy from scipy import interpolate from scipy.interpolate import griddata from scipy.interpolate import Rbf from matplotlib.patches import Circle from matplotlib.collections import PatchCollection from matplotlib.patches import Rectangle from matplotlib.collections import LineCollection import matplotlib.patches as patches import matplotlib.path as mpath from matplotlib import colors from scipy.integrate import simps import matplotlib.mlab as mlab from scipy.interpolate import griddata from scipy.interpolate import Rbf from scipy.interpolate import interp1d from numpy.polynomial.polynomial import polyfit from scipy.optimize import curve_fit import numpy.polynomial.polynomial as poly import matplotlib from matplotlib.ticker import FormatStrFormatter from matplotlib import gridspec from matplotlib.ticker import FormatStrFormatter from matplotlib.ticker import AutoMinorLocator from matplotlib.ticker import MultipleLocator from matplotlib.ticker import LogLocator import matplotlib.ticker as ticker from matplotlib.patches import Rectangle import matplotlib.patches as

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🤖 Starcoder on 01 March 2024 at 10:23 PM

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