text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|> """
Manipulations with pokemon types.
"""
@api.parameters(PaginationParameters())
@api.response(schemas.PokemonTypeSchema(many=True))
def get(self, args):
"""
List of pokemon types.
Returns a list of pokemon types starting from ``offset`` limited by ``limi... | code_fim | hard | {
"lang": "python",
"repo": "DurandA/pokemon-battle-api",
"path": "/app/modules/pokemon_types/resources.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@api.route('/')
class PokemonTypes(Resource):
"""
Manipulations with pokemon types.
"""
@api.parameters(PaginationParameters())
@api.response(schemas.PokemonTypeSchema(many=True))
def get(self, args):
"""
List of pokemon types.
Returns a list of pokemon ... | code_fim | hard | {
"lang": "python",
"repo": "DurandA/pokemon-battle-api",
"path": "/app/modules/pokemon_types/resources.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DurandA/pokemon-battle-api path: /app/modules/pokemon_types/resources.py
# encoding: utf-8
# pylint: disable=too-few-public-methods,invalid-name
"""
RESTful API Sport resources
--------------------------
"""
import logging
import sqlalchemy
from flask_login import current_user
from flask_restpl... | code_fim | hard | {
"lang": "python",
"repo": "DurandA/pokemon-battle-api",
"path": "/app/modules/pokemon_types/resources.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> trial_num = 50
policy = LinEpsilonGreedy(n_actions=2, dim=2, epsilon=0.0)
# policy type
assert policy.policy_type == PolicyType.CONTEXTUAL
context = np.array([1.0, 1.0]).reshape(1, -1)
policy.update_params(action=0, reward=1.0, context=context)
policy.update_params(action=0, ... | code_fim | hard | {
"lang": "python",
"repo": "han20192019/newRL",
"path": "/tests/policy/test_linear.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test_lin_ucb_initialize():
# note that the meaning of epsilon is different from that of LinEpsilonGreedy
with pytest.raises(ValueError):
LinUCB(n_actions=2, dim=2, epsilon=-0.2)
n_actions = 3
dim = 2
policy = LinUCB(n_actions=n_actions, dim=dim, epsilon=2.0)
assert po... | code_fim | hard | {
"lang": "python",
"repo": "han20192019/newRL",
"path": "/tests/policy/test_linear.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: han20192019/newRL path: /tests/policy/test_linear.py
import numpy as np
import pytest
from obp.policy.linear import LinEpsilonGreedy
from obp.policy.linear import LinTS
from obp.policy.linear import LinUCB
from obp.policy.policy_type import PolicyType
def test_linear_base_exception():
# in... | code_fim | hard | {
"lang": "python",
"repo": "han20192019/newRL",
"path": "/tests/policy/test_linear.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class Test_find_import_info(TestCase):
def find_import_info(self, package, name, string):
node = parse(string)
return fixer_utils.find_import_info(package, name, node)
def test(self):
package, name, binding, string = ('mod2', 'AnotherClass', 'bar',
... | code_fim | hard | {
"lang": "python",
"repo": "ezragoss/typewriter",
"path": "/typeright/fixes/tests/test_util.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class Test_create_type_checking_import(TestCase):
def create_type_checking_import(self, package, name, string):
node = parse(string)
fixer_utils.create_type_checking_import(package, name, node)
return node
def test(self):
string = """
import a
impo... | code_fim | hard | {
"lang": "python",
"repo": "ezragoss/typewriter",
"path": "/typeright/fixes/tests/test_util.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ezragoss/typewriter path: /typeright/fixes/tests/test_util.py
""" Test suite for the code in fixer_utils """
# Local imports
from lib2to3.fixer_util import Attr, Call, Comma, Name, is_import, syms
from lib2to3.pgen2 import token
from lib2to3.pytree import Leaf, Node
from lib2to3.tests.support im... | code_fim | hard | {
"lang": "python",
"repo": "ezragoss/typewriter",
"path": "/typeright/fixes/tests/test_util.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> Variables:
pattern {str} -- str of a regExp pattern
flags {list} -- A list of regExp flags
text {[str]} -- A text to match the regExp pattern against
methods {[dict]} -- dictionary of regExp methods where the keys are
str of regExp methods and the values are the... | code_fim | hard | {
"lang": "python",
"repo": "samshultz/regex-matcher",
"path": "/regTest/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: samshultz/regex-matcher path: /regTest/utils.py
import re
def regex_methods():
return {
're.search': re.search,
're.match': re.match,
're.fullmatch': re.fullmatch,
're.findall': re.findall,
're.finditer': re.finditer,
}
def process_regex_form_data(pattern, flags, tex... | code_fim | hard | {
"lang": "python",
"repo": "samshultz/regex-matcher",
"path": "/regTest/utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lewtun/huggingface_hub path: /api-inference-community/docker_images/generic/app/batch.py
#!/usr/bin/env python
import io
import os
import datasets
import tqdm
from app.main import get_pipeline
from huggingface_hub import HfApi
DATASET_NAME = os.getenv("DATASET_NAME")
DATASET_CONFIG = os.getenv... | code_fim | hard | {
"lang": "python",
"repo": "lewtun/huggingface_hub",
"path": "/api-inference-community/docker_images/generic/app/batch.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def iterate_slow(pipe, dataset, f):
for i, item in enumerate(tqdm.tqdm(dataset)):
try:
result = pipe(item)
except Exception as e:
result = {"error": str(e)}
f.write(str(result).encode("utf-8"))
f.write(b"\n")
def main():
dset = datasets.lo... | code_fim | medium | {
"lang": "python",
"repo": "lewtun/huggingface_hub",
"path": "/api-inference-community/docker_images/generic/app/batch.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> f.seek(0)
api = HfApi()
repo_id = REPO_ID
try:
api.upload_file(TOKEN, f, filename, repo_id, repo_type="dataset")
except Exception:
pass
if __name__ == "__main__":
main()<|fim_prefix|># repo: lewtun/huggingface_hub path: /api-inference-community/docker_images/gen... | code_fim | hard | {
"lang": "python",
"repo": "lewtun/huggingface_hub",
"path": "/api-inference-community/docker_images/generic/app/batch.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bismog/leetcode path: /python/app.py
#!/usr/bin/env python
from __future__ import print_function
from oslo.config import cfg
# here name 'simple' should match with section name in *.conf
opt_group = cfg.OptGroup(name='simple', title='A Simple Example') # format: name + title
simple_opts = [cfg... | code_fim | medium | {
"lang": "python",
"repo": "bismog/leetcode",
"path": "/python/app.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == "__main__":
CONF(default_config_files=['app.conf'])
#print(CONF.simple.enable) #cmladd: here will print True
#print(CONF.simple.xxx)
print(CONF.default.topic)
print(CONF.default.say)<|fim_prefix|># repo: bismog/leetcode path: /python/app.py
#!/usr/bin/env python
fr... | code_fim | medium | {
"lang": "python",
"repo": "bismog/leetcode",
"path": "/python/app.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> summary_writer = SummaryWriter(data_dir)
training_envs = safelife_env_factory(
logdir=data_dir, summary_writer=summary_writer, num_envs=16,
impact_penalty=linear_schedule(t_penalty, [0, penalty]),
min_performance=linear_schedule(t_performanc... | code_fim | hard | {
"lang": "python",
"repo": "neale/avoiding-side-effects",
"path": "/train",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: neale/avoiding-side-effects path: /train
#!/usr/bin/env python3
"""
Main entry point for starting a training job.
"""
import os
import sys
import argparse
import subprocess
import shutil
import logging
import logging.config
import numpy as np
env_types = [
'test',
'append-still',
... | code_fim | hard | {
"lang": "python",
"repo": "neale/avoiding-side-effects",
"path": "/train",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> dependencies = [
("process", "0016_auto_20210217_1233"),
]
operations = [
migrations.RemoveConstraint(
model_name="processingstep",
name="unique_collection_file_item_name",
),
]<|fim_prefix|># repo: open-contracting/kingfisher-process path:... | code_fim | easy | {
"lang": "python",
"repo": "open-contracting/kingfisher-process",
"path": "/process/migrations/0017_auto_20210217_1340.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: open-contracting/kingfisher-process path: /process/migrations/0017_auto_20210217_1340.py
# Generated by Django 3.0.4 on 2021-02-17 13:40
<|fim_suffix|>class Migration(migrations.Migration):
dependencies = [
("process", "0016_auto_20210217_1233"),
]
operations = [
mig... | code_fim | easy | {
"lang": "python",
"repo": "open-contracting/kingfisher-process",
"path": "/process/migrations/0017_auto_20210217_1340.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>token = None
__all__ = [
'__version__',
'API',
'AccernClient',
'HistoricalClient',
'Schema',
'StreamClient',
'StreamListener',
'set_config_file',
'get_config_file',
]<|fim_prefix|># repo: Accern/accern-python path: /accern/__init__.py
"""Accern: python library for Acc... | code_fim | hard | {
"lang": "python",
"repo": "Accern/accern-python",
"path": "/accern/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Accern/accern-python path: /accern/__init__.py
"""Accern: python library for Accern API.
Accern is a python library to query, download, filter and save Accern Data.
"""
<|fim_suffix|>token = None
__all__ = [
'__version__',
'API',
'AccernClient',
'HistoricalClient',
'Schema'... | code_fim | hard | {
"lang": "python",
"repo": "Accern/accern-python",
"path": "/accern/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>__all__ = [
'__version__',
'API',
'AccernClient',
'HistoricalClient',
'Schema',
'StreamClient',
'StreamListener',
'set_config_file',
'get_config_file',
]<|fim_prefix|># repo: Accern/accern-python path: /accern/__init__.py
"""Accern: python library for Accern API.
Acce... | code_fim | hard | {
"lang": "python",
"repo": "Accern/accern-python",
"path": "/accern/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def forward(self, variational_dist_f, target, **kwargs):
r"""
Computes the Variational ELBO given :math:`q(\mathbf f)` and :math:`\mathbf y`.
Calling this function will call the likelihood's :meth:`~gpytorch.likelihoods.Likelihood.expected_log_prob`
function.
:... | code_fim | medium | {
"lang": "python",
"repo": "cornellius-gp/gpytorch",
"path": "/gpytorch/mlls/variational_elbo.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> r"""
Computes the Variational ELBO given :math:`q(\mathbf f)` and :math:`\mathbf y`.
Calling this function will call the likelihood's :meth:`~gpytorch.likelihoods.Likelihood.expected_log_prob`
function.
:param ~gpytorch.distributions.MultivariateNormal variational_... | code_fim | hard | {
"lang": "python",
"repo": "cornellius-gp/gpytorch",
"path": "/gpytorch/mlls/variational_elbo.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cornellius-gp/gpytorch path: /gpytorch/mlls/variational_elbo.py
#!/usr/bin/env python3
from ._approximate_mll import _ApproximateMarginalLogLikelihood
class VariationalELBO(_ApproximateMarginalLogLikelihood):
r"""
The variational evidence lower bound (ELBO). This is used to optimize
... | code_fim | medium | {
"lang": "python",
"repo": "cornellius-gp/gpytorch",
"path": "/gpytorch/mlls/variational_elbo.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> :param snapshot_name: Snapshot name from which to clone the source file or LUN. If not
specified, the contents of in the active filesystem will be used.
This field is available in Data ONTAP 8.1 or later
:param change_log: If this option is "true", ... | code_fim | hard | {
"lang": "python",
"repo": "radekg/netapp-ontap-lib-gen",
"path": "/generated-libraries/python/netapp/clone/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: radekg/netapp-ontap-lib-gen path: /generated-libraries/python/netapp/clone/__init__.py
ion):
def clone_list_status(self, clone_id=None):
"""
Gets the information of a clone operations identified by
clone-id. If clone-id is not specified, then it will get the
... | code_fim | hard | {
"lang": "python",
"repo": "radekg/netapp-ontap-lib-gen",
"path": "/generated-libraries/python/netapp/clone/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> :param bypass_license_check: If set to 'true', allows clone create without FlexClone
license. Default value is false.
THIS INPUT IS CURRENTLY SUPPORTED FOR USE ONLY BY SNAPDRIVE TEAM,
ANY OTHER USE IS NOT SUPPORTED.
:param qos_policy... | code_fim | hard | {
"lang": "python",
"repo": "radekg/netapp-ontap-lib-gen",
"path": "/generated-libraries/python/netapp/clone/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mesalock-linux/mesapy path: /pypy/module/test_lib_pypy/cffi_tests/embedding/add1.py
# Generated by pypy/tool/import_cffi.py
import cffi
ffi = cffi.FFI()
ffi.embedding_api("""
int add1(int, int);
""")
ffi.embedding_init_code(r"""
import sys, time
sys.stdout.write("preparing")
fo... | code_fim | hard | {
"lang": "python",
"repo": "mesalock-linux/mesapy",
"path": "/pypy/module/test_lib_pypy/cffi_tests/embedding/add1.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>ffi.embedding_init_code(r"""
import sys, time
sys.stdout.write("preparing")
for i in range(3):
sys.stdout.flush()
time.sleep(0.02)
sys.stdout.write(".")
sys.stdout.write("\n")
from _add1_cffi import ffi
int(ord("A")) # check that built-ins are there
... | code_fim | medium | {
"lang": "python",
"repo": "mesalock-linux/mesapy",
"path": "/pypy/module/test_lib_pypy/cffi_tests/embedding/add1.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> js_result = f"""document.getElementById("{i}_{j}").classList.remove("row_block_divider");\n"""
js_result += f"""document.getElementById("{i}_{j}").classList.remove("col_block_divider");\n"""
js_result += f"""document.getElementById("{i}_{j}").classList.add("no_border");\n"""
... | code_fim | hard | {
"lang": "python",
"repo": "easyuxd/seedsigner",
"path": "/docs/seed_qr/printable_templates/template_generator.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: easyuxd/seedsigner path: /docs/seed_qr/printable_templates/template_generator.py
import math
def generate_qr_template(qr_size, num_words=24, block_size=5, show_timing_marks=False):
if num_words == 24:
word_cols = 2
else:
word_cols = 1
html = """
<html>
<l... | code_fim | hard | {
"lang": "python",
"repo": "easyuxd/seedsigner",
"path": "/docs/seed_qr/printable_templates/template_generator.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: asyre/bachelor_degree path: /executor/meta/env.py
from typing import Any, Optional
from executor.meta.env_var import must_extract_env_var_if_present
from executor.meta.meta import set_meta_information, has_meta_information, get_meta_information
__env_key = "env"
def has_env(obj: Any) -> bool:... | code_fim | medium | {
"lang": "python",
"repo": "asyre/bachelor_degree",
"path": "/executor/meta/env.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __decorator(func):
set_meta_information(func, __env_key, must_extract_env_var_if_present(path))
return func
return __decorator<|fim_prefix|># repo: asyre/bachelor_degree path: /executor/meta/env.py
from typing import Any, Optional
from executor.meta.env_var import must_extra... | code_fim | medium | {
"lang": "python",
"repo": "asyre/bachelor_degree",
"path": "/executor/meta/env.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> set_meta_information(func, __env_key, must_extract_env_var_if_present(path))
return func
return __decorator<|fim_prefix|># repo: asyre/bachelor_degree path: /executor/meta/env.py
from typing import Any, Optional
from executor.meta.env_var import must_extract_env_var_if_present
from ... | code_fim | hard | {
"lang": "python",
"repo": "asyre/bachelor_degree",
"path": "/executor/meta/env.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cash2one/xai path: /xai/brain/wordbase/verbs/_founding.py
from xai.brain.wordbase.verbs._found import _FOUND
<|fim_suffix|> def __init__(self,):
_FOUND.__init__(self)
self.name = "FOUNDING"
self.specie = 'verbs'
self.basic = "found"
self.jsondata = {}<|fim_middle|>#calss header
clas... | code_fim | easy | {
"lang": "python",
"repo": "cash2one/xai",
"path": "/xai/brain/wordbase/verbs/_founding.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> _FOUND.__init__(self)
self.name = "FOUNDING"
self.specie = 'verbs'
self.basic = "found"
self.jsondata = {}<|fim_prefix|># repo: cash2one/xai path: /xai/brain/wordbase/verbs/_founding.py
from xai.brain.wordbase.verbs._found import _FOUND
#calss header
class _FOUNDING(_FOUND, ):
<|fim_middle|>... | code_fim | easy | {
"lang": "python",
"repo": "cash2one/xai",
"path": "/xai/brain/wordbase/verbs/_founding.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Ved005/project-euler-solutions path: /code/hexagonal_orchards/sol_351.py
# -*- coding: utf-8 -*-
'''
File name: code\hexagonal_orchards\sol_351.py
Author: Vaidic Joshi
Date created: Oct 20, 2018
Python Version: 3.x
'''
# Solution to Project Euler Problem #351 :: Hexagonal orchar... | code_fim | medium | {
"lang": "python",
"repo": "Ved005/project-euler-solutions",
"path": "/code/hexagonal_orchards/sol_351.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
Let H(n) be the number of points hidden from the center in a hexagonal orchard of order n.
H(5) = 30. H(10) = 138. H(1 000) = 1177848.
Find H(100 000 000).
'''
# Solution
# Solution Approach
'''
'''<|fim_prefix|># repo: Ved005/project-euler-solutions path: /code/hexagonal_orchards/sol_351.py
... | code_fim | medium | {
"lang": "python",
"repo": "Ved005/project-euler-solutions",
"path": "/code/hexagonal_orchards/sol_351.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
Highlighted in green are the points which are hidden from the center by a point closer to it. It can be seen that for a hexagonal orchard of order 5, 30 points are hidden from the center.
Let H(n) be the number of points hidden from the center in a hexagonal orchard of order n.
H(5) = 30. H(10) =... | code_fim | hard | {
"lang": "python",
"repo": "Ved005/project-euler-solutions",
"path": "/code/hexagonal_orchards/sol_351.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: castorini/d-bert path: /dbert/generate/build_bpe.py
import argparse
import random
import sys
from tqdm import tqdm
import torch
def main():
parser = argparse.ArgumentParser()
parser.add_argument('--sample-break', default=0, type=float)
parser.add_argument('--seed', default=0, type=... | code_fim | medium | {
"lang": "python",
"repo": "castorini/d-bert",
"path": "/dbert/generate/build_bpe.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> random.seed(args.seed)
for line in tqdm(training_ds.sentences, desc='Writing'):
print(line)
for _ in range(args.n_iter):
roll = random.random()
if roll < args.sample_break:
roll /= args.sample_break
a = int(roll * (len(line) -... | code_fim | medium | {
"lang": "python",
"repo": "castorini/d-bert",
"path": "/dbert/generate/build_bpe.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lucaslk122/Programas-python path: /g´rafico mundial.py
# -*- coding: utf-8 -*-
"""
Spyder Editor
Este é u<|fim_suffix|>ib.pyplot as plt
plt.figure()
plt.subplot(111, projection="aitoff")
plt.title("Aitoff")
plt.grid(True)<|fim_middle|>m arquivo de script temporário.
"""
import matplotl | code_fim | easy | {
"lang": "python",
"repo": "lucaslk122/Programas-python",
"path": "/g´rafico mundial.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>ection="aitoff")
plt.title("Aitoff")
plt.grid(True)<|fim_prefix|># repo: lucaslk122/Programas-python path: /g´rafico mundial.py
# -*- coding: utf-8 -*-
"""
Spyder Editor
Este é um arquivo de script temporário.
"""
import matplotl<|fim_middle|>ib.pyplot as plt
plt.figure()
plt.subplot(111, proj | code_fim | easy | {
"lang": "python",
"repo": "lucaslk122/Programas-python",
"path": "/g´rafico mundial.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> urlopen_mock.start()
self.collector.collect()
urlopen_mock.stop()
metrics = self.getPickledResults("real_stat.pkl")
self.assertPublishedMany(publish_mock, metrics)<|fim_prefix|># repo: python-diamond/Diamond path: /src/collectors/httpjson/test/testhttpjson.py
#!/... | code_fim | hard | {
"lang": "python",
"repo": "python-diamond/Diamond",
"path": "/src/collectors/httpjson/test/testhttpjson.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: python-diamond/Diamond path: /src/collectors/httpjson/test/testhttpjson.py
#!/usr/bin/python
# coding=utf-8
##########################################################################
from test import CollectorTestCase
from test import get_collector_config
from mock import Mock
from mock import pa... | code_fim | medium | {
"lang": "python",
"repo": "python-diamond/Diamond",
"path": "/src/collectors/httpjson/test/testhttpjson.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> urlopen_mock = patch('urllib2.urlopen',
Mock(return_value=self.getFixture('stats.json')))
urlopen_mock.start()
self.collector.collect()
urlopen_mock.stop()
metrics = self.getPickledResults("real_stat.pkl")
self.assertPublished... | code_fim | medium | {
"lang": "python",
"repo": "python-diamond/Diamond",
"path": "/src/collectors/httpjson/test/testhttpjson.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def _get_next_coref_id(self):
'''
yield incrementing coreference ids.
'''
try:
self.next_coref_id += 1
except AttributeError:
self.next_coref_id = 1
return self.next_coref_id - 1
def _link_references(self):
'''
Create a link from each mention's tokens back to the mention, and ... | code_fim | hard | {
"lang": "python",
"repo": "networkdynamics/attribution-extraction",
"path": "/source/intermediaries/nlpReaders/annotated_text.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def fix_word(self, word):
if word == '-LRB-':
return '('
if word == '-RRB-':
return ')'
return word.encode('utf8')#.decode('unicode-escape')
def __str__(self):
sentence_strings = []
for i, s in enumerate(self.sentences):
tokens = ' '.join([t['word'] for t in s['tokens']])
senten... | code_fim | hard | {
"lang": "python",
"repo": "networkdynamics/attribution-extraction",
"path": "/source/intermediaries/nlpReaders/annotated_text.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: networkdynamics/attribution-extraction path: /source/intermediaries/nlpReaders/annotated_text.py
tive': new_mention
}
new_mention['reference'] = ref
self.references.append(ref)
# Add the mention to the sentence
try:
sentence['mentions'].append(new_mention)
except KeyError:
sent... | code_fim | hard | {
"lang": "python",
"repo": "networkdynamics/attribution-extraction",
"path": "/source/intermediaries/nlpReaders/annotated_text.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MddeLip/MODIS_AOD_PM25 path: /扩展库和扩展程序/程序/包含文件名测试.py
# -*- coding: utf-8 -*-
# 日期: 2019/3/6 21:23
# 作者: xcl
# 工具：PyCharm
<|fim_suffix|># 批量读取
file_name = os.listdir(input_file_path) # 文件名
for name in file_name:
if location in name:
print(name)<|fim_middle|>import pandas as pd
import... | code_fim | medium | {
"lang": "python",
"repo": "MddeLip/MODIS_AOD_PM25",
"path": "/扩展库和扩展程序/程序/包含文件名测试.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># 批量读取
file_name = os.listdir(input_file_path) # 文件名
for name in file_name:
if location in name:
print(name)<|fim_prefix|># repo: MddeLip/MODIS_AOD_PM25 path: /扩展库和扩展程序/程序/包含文件名测试.py
# -*- coding: utf-8 -*-
# 日期: 2019/3/6 21:23
# 作者: xcl
# 工具：PyCharm
<|fim_middle|>import pandas as pd
import... | code_fim | medium | {
"lang": "python",
"repo": "MddeLip/MODIS_AOD_PM25",
"path": "/扩展库和扩展程序/程序/包含文件名测试.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mst-solar-car/kicad-bom-generator path: /Formatter/json_formatter.py
import json
import Formatter
import Config
import Arguments
import Logger
args = Arguments.Parse()
cfg = Config.Get()
@Formatter.Register("json")
def json_formatter(components):
<|fim_suffix|> for component in components:
... | code_fim | medium | {
"lang": "python",
"repo": "mst-solar-car/kicad-bom-generator",
"path": "/Formatter/json_formatter.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Save the json file
save_path = args.output_file
try:
with open(save_path, "w") as file:
file.write(result)
Logger.Debug("Output saved to", save_path)
return save_path
except:
Logger.Error("Could not save output to", save_path)<|fim_prefix|># repo: mst-solar-car/kicad-bo... | code_fim | medium | {
"lang": "python",
"repo": "mst-solar-car/kicad-bom-generator",
"path": "/Formatter/json_formatter.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> #### TEST if integral is same as scattering
asf = mc._get_angular_scatt_func()
natural = asf.natural.values
theta = asf.index.values
natural = natural[theta < np.pi] # to ensure integration from 0 to pi
theta = theta[theta < np.pi]
isf = integrate.s... | code_fim | hard | {
"lang": "python",
"repo": "hagne/mie-py",
"path": "/mie_py/tests/tests.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hagne/mie-py path: /mie_py/tests/tests.py
from unittest import TestCase
import mie_py
import numpy as np
from scipy import integrate
class TestBohrenHuffman(TestCase):
def test_compare2online_calculator(self, test_threshold = 1e-4, verbose=False, raiseError=True):
"""Test against the... | code_fim | hard | {
"lang": "python",
"repo": "hagne/mie-py",
"path": "/mie_py/tests/tests.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return test_passed
def test_angular_scattering_func_integral(self, test_threshold = 1e-4, verbose=False, raiseError=True):
"""This test makes sure the integral over the the entire angular scattering function is equal (deviates less
than 1e-4) to the overall scattering crossec... | code_fim | hard | {
"lang": "python",
"repo": "hagne/mie-py",
"path": "/mie_py/tests/tests.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> path('change-port', views.ChangePort.as_view()),
path('start-ga', views.StartGA.as_view()),
path('stop-ga', views.StopGA.as_view()),
path('check-ga', views.CheckGA.as_view()),
path('get-arch-details', views.GetArchDetails.as_view()),
path('get-subobjective-details', views.GetSubo... | code_fim | medium | {
"lang": "python",
"repo": "gapaza/daphne_brain",
"path": "/VASSAR_API/urls.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> path('get-arch-details', views.GetArchDetails.as_view()),
path('get-subobjective-details', views.GetSubobjectiveDetails.as_view())
]<|fim_prefix|># repo: gapaza/daphne_brain path: /VASSAR_API/urls.py
from django.urls import path
from . import views
urlpatterns = [
path('get-orbit-list', vie... | code_fim | medium | {
"lang": "python",
"repo": "gapaza/daphne_brain",
"path": "/VASSAR_API/urls.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gapaza/daphne_brain path: /VASSAR_API/urls.py
from django.urls import path
from . import views
urlpatterns = [
path('get-orbit-list', views.GetOrbitList.as_view()),
path('get-instrument-list', views.GetInstrumentList.as_view()),
path('evaluate-architecture', views.EvaluateArchi... | code_fim | medium | {
"lang": "python",
"repo": "gapaza/daphne_brain",
"path": "/VASSAR_API/urls.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: annamatveev/Cremeschnitte path: /Filters/CommentFilter.py
from Rules.CommentToIndicativeWordsInTitleRule import CommentToIndicativeWordsInTitleRule
from Rules.AskingForHelpTitlePostRule import AskingForHelpTitlePostRule
from Rules.HighlyRatedCommentRule import HighlyRatedCommentRule
from Rules.Lo... | code_fim | hard | {
"lang": "python",
"repo": "annamatveev/Cremeschnitte",
"path": "/Filters/CommentFilter.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @staticmethod
def filter_comment_leads_in_posts(subreddit):
leads = []
post_leads_with_indicative_words = Pipe.run(subreddit.new(limit=PrawConfig.POST_LIMIT),
[AskingForHelpTitlePostRule])
if post_leads_with_indicative_wor... | code_fim | hard | {
"lang": "python",
"repo": "annamatveev/Cremeschnitte",
"path": "/Filters/CommentFilter.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: leon0707/docker-nginx-uWSGI-flask path: /email_service_consumer/email_plugin.py
import smtplib
from os import environ
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
if environ.get('SMTP_SERVER') is None:
raise ValueError('SMTP_SERVER is not configured')
... | code_fim | medium | {
"lang": "python",
"repo": "leon0707/docker-nginx-uWSGI-flask",
"path": "/email_service_consumer/email_plugin.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> server = smtplib.SMTP(host=environ['SMTP_SERVER'], port=environ['SMTP_PORT'])
server.starttls()
server.login(environ['SENDER_EMAIL'], environ['SENDER_PASSWORD'])
msg = MIMEMultipart()
msg['From']=environ['SENDER_EMAIL']
msg['To']=email_json['To']
msg['Subject']=email_json['Su... | code_fim | hard | {
"lang": "python",
"repo": "leon0707/docker-nginx-uWSGI-flask",
"path": "/email_service_consumer/email_plugin.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if environ.get('SENDER_PASSWORD') is None:
raise ValueError('SMTP_PASSWORD is not configured')
def send_email(email_json):
server = smtplib.SMTP(host=environ['SMTP_SERVER'], port=environ['SMTP_PORT'])
server.starttls()
server.login(environ['SENDER_EMAIL'], environ['SENDER_PASSWORD'])
... | code_fim | medium | {
"lang": "python",
"repo": "leon0707/docker-nginx-uWSGI-flask",
"path": "/email_service_consumer/email_plugin.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: GuardSkill/onnx-pytorch path: /onnx_pytorch/op_code_generators/Conv.py
import logging
import onnx
import onnx.numpy_helper
import torch
from onnx_pytorch.op_code_generators import OpCodeGenerator
class ConvOpCodeGenerator(OpCodeGenerator):
def __init__(self,
onnx_ver=onn... | code_fim | hard | {
"lang": "python",
"repo": "GuardSkill/onnx-pytorch",
"path": "/onnx_pytorch/op_code_generators/Conv.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return '''def compatible_auto_pad(self, input, kernel_spatial_shape, nn_mod, auto_pad=None, **kwargs):
input_spatial_shape = input.shape[2:]
d = len(input_spatial_shape)
strides = nn_mod.stride
dilations = nn_mod.dilation
output_spatial_shape = [math.ceil(float(l) / float(r)) f... | code_fim | hard | {
"lang": "python",
"repo": "GuardSkill/onnx-pytorch",
"path": "/onnx_pytorch/op_code_generators/Conv.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> forward_str.append(f"{outputs_str[0]} = F.conv2d({inputs_str[0]},{inputs_str[1]},**{{{params_str}}})")
return {"init": init_str, "forward": forward_str}
@staticmethod
def gen_method():
return '''def compatible_auto_pad(self, input, kernel_spatial_shape, nn_mod, auto... | code_fim | hard | {
"lang": "python",
"repo": "GuardSkill/onnx-pytorch",
"path": "/onnx_pytorch/op_code_generators/Conv.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pnsn/squacapi path: /app/invite/urls.py
from django.urls import path
from invite import views
app<|fim_suffix|>InviteView.as_view(), name='user-invite'),
path('register/', views.RegisterView.as_view(), name='user-register')
]<|fim_middle|>_name = 'invite'
urlpatterns = [
path('invite/', ... | code_fim | easy | {
"lang": "python",
"repo": "pnsn/squacapi",
"path": "/app/invite/urls.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>InviteView.as_view(), name='user-invite'),
path('register/', views.RegisterView.as_view(), name='user-register')
]<|fim_prefix|># repo: pnsn/squacapi path: /app/invite/urls.py
from django.urls import path
from invite import views
app<|fim_middle|>_name = 'invite'
urlpatterns = [
path('invite/', ... | code_fim | easy | {
"lang": "python",
"repo": "pnsn/squacapi",
"path": "/app/invite/urls.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def test_post_data(test_case, page, data):
"""
Test whether a post request can successfully be made to the page.
:param test_case: test class, must be an instance of unittest.TestCase
:param page: str with the page of the flask_monitoringdashboard
:param data: the data that should be p... | code_fim | hard | {
"lang": "python",
"repo": "phamngocquy/Flask-MonitoringDashboard",
"path": "/flask_monitoringdashboard/test/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def get_test_app(schedule=False):
"""
:return: Flask Test Application with the right settings
"""
import flask_monitoringdashboard
from flask import redirect, url_for
user_app = Flask(__name__)
@user_app.route('/')
def main():
return redirect(url_for('dashboard.i... | code_fim | hard | {
"lang": "python",
"repo": "phamngocquy/Flask-MonitoringDashboard",
"path": "/flask_monitoringdashboard/test/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: phamngocquy/Flask-MonitoringDashboard path: /flask_monitoringdashboard/test/utils.py
"""
Some useful functions for setting up the testing environment, adding data, etc..
"""
import datetime
from flask import Flask, json
from flask_monitoringdashboard.core.cache import EndpointInfo
NAME = '... | code_fim | hard | {
"lang": "python",
"repo": "phamngocquy/Flask-MonitoringDashboard",
"path": "/flask_monitoringdashboard/test/utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if not os.path.isdir(camdir + "/tmp"):
os.mkdir(camdir + "/tmp")<|fim_prefix|># repo: Liveshort/astroplant-camera-module path: /astroplant_camera_module/setup.py
import os
def check_directories(root_directory):
"""
Sets up the necessary directories for the camera to work. Everything ... | code_fim | hard | {
"lang": "python",
"repo": "Liveshort/astroplant-camera-module",
"path": "/astroplant_camera_module/setup.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> if not os.path.isdir(camdir + "/cfg"):
os.mkdir(camdir + "/cfg")
if not os.path.isdir(camdir + "/img"):
os.mkdir(camdir + "/img")
if not os.path.isdir(camdir + "/res"):
os.mkdir(camdir + "/res")
if not os.path.isdir(camdir + "/tmp"):
os.mkdir(camdir + "/t... | code_fim | medium | {
"lang": "python",
"repo": "Liveshort/astroplant-camera-module",
"path": "/astroplant_camera_module/setup.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Liveshort/astroplant-camera-module path: /astroplant_camera_module/setup.py
import os
def check_directories(root_directory):
"""
Sets up the necessary directories for the camera to work. Everything is created relative to the root directory supplied by the user.
"""
camdir = root... | code_fim | medium | {
"lang": "python",
"repo": "Liveshort/astroplant-camera-module",
"path": "/astroplant_camera_module/setup.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kuanfandevops/tfrs path: /backend/api/permissions/DocumentComment.py
"""
REST API Documentation for the NRS TFRS Credit Trading Application
The Transportation Fuels Reporting System is being designed to streamline
compliance reporting for transportation fuel suppliers in accordance w... | code_fim | hard | {
"lang": "python",
"repo": "kuanfandevops/tfrs",
"path": "/backend/api/permissions/DocumentComment.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Need this information to make a decision
if 'privileged_access' not in request.data and \
'document' in request.data:
return False
document = request.data['document']
privileged_access = request.data['privileged_access']
found = Docum... | code_fim | hard | {
"lang": "python",
"repo": "kuanfandevops/tfrs",
"path": "/backend/api/permissions/DocumentComment.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lidaan/issm_python path: /simulations/nioghalvfjerdsbrae/issm/gen_nio_contour.py
import cslvr as cs
import numpy as np
#===============================================================================
# data preparation :
out_dir = '../dump/meshes/issm/'
mesh_name = 'nioghalvfjerdsbrae'
# get ... | code_fim | hard | {
"lang": "python",
"repo": "lidaan/issm_python",
"path": "/simulations/nioghalvfjerdsbrae/issm/gen_nio_contour.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>#===============================================================================
# process the file and extrude :
m.eliminate_intersections(dist=200) # eliminate interscting lines
m.check_dist() # remove points too close
m.write_argus_contour() ... | code_fim | hard | {
"lang": "python",
"repo": "lidaan/issm_python",
"path": "/simulations/nioghalvfjerdsbrae/issm/gen_nio_contour.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Parse one element of ``--output-spaces``.
>>> output_space('MNI152NLin2009cAsym')
('MNI152NLin2009cAsym', {})
>>> output_space('MNI152NLin2009cAsym:native')
('MNI152NLin2009cAsym', {'native': True})
>>> output_space('MNI152NLin2009cAsym:res-2')
('MNI152NLin2009cAsym', {'r... | code_fim | medium | {
"lang": "python",
"repo": "bpinsard/smriprep",
"path": "/smriprep/cli/utils.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bpinsard/smriprep path: /smriprep/cli/utils.py
# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
"""
CLI Utilities
"""
from argparse import Action
class ParseTemplates(Action):
"""Manipulate a string of templates with modifiers... | code_fim | hard | {
"lang": "python",
"repo": "bpinsard/smriprep",
"path": "/smriprep/cli/utils.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def _template(inlist):
"""
Return an OrderedDict with templates
>>> list(_template(['MNI152NLin2009c']).keys())
['MNI152NLin2009c']
>>> _template(['MNI152NLin2009c', 'MNI152NLin2009c:res-2'])
OrderedDict([('MNI152NLin2009c', {})])
>>> _template(['MNI152NLin2009c', 'MNI152NL... | code_fim | medium | {
"lang": "python",
"repo": "bpinsard/smriprep",
"path": "/smriprep/cli/utils.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: davidwchung/GatorTrader path: /application/server/__init__.py
# -*- coding: utf-8 -*-
# @Author: aadityac15
# @Date: 2019-10-15 22:03:53<|fim_suffix|>Last Modified time: 2019-11-18 15:53:06<|fim_middle|>
# @Last Modified by: aadityac15
# @ | code_fim | easy | {
"lang": "python",
"repo": "davidwchung/GatorTrader",
"path": "/application/server/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# @Last Modified by: aadityac15
# @Last Modified time: 2019-11-18 15:53:06<|fim_prefix|># repo: davidwchung/GatorTrader path: /application/server/__init__.py
# -*- coding: utf-8 -*-
# @Author: aad<|fim_middle|>ityac15
# @Date: 2019-10-15 22:03:53 | code_fim | easy | {
"lang": "python",
"repo": "davidwchung/GatorTrader",
"path": "/application/server/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>Last Modified time: 2019-11-18 15:53:06<|fim_prefix|># repo: davidwchung/GatorTrader path: /application/server/__init__.py
# -*- coding: utf-8 -*-
# @Author: aadityac15
# @Date: 2019-10-15 22:03:53<|fim_middle|>
# @Last Modified by: aadityac15
# @ | code_fim | easy | {
"lang": "python",
"repo": "davidwchung/GatorTrader",
"path": "/application/server/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: huster-wgm/SRCGAN path: /src/visCas.py
import os
import cv2
import sys
import torch
import random
import torchvision
import torch.nn as nn
import argparse
import metrics
import time
import numpy as np
import pandas as pd
from dataset import load_dataset
from torch.utils.data import DataLoader
fro... | code_fim | hard | {
"lang": "python",
"repo": "huster-wgm/SRCGAN",
"path": "/src/visCas.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def add_barrier(img, spaces=[5, 10]):
"""
args:
img: (ndarray) in [img_rows, img_cols, channels], dtype as unit8
spaces: (int) pixels of spaces
return:
img: (ndarray) processed img
"""
img = add_color_bar(img, spaces[0], 0)
img = add_color_bar(img, spaces[1... | code_fim | hard | {
"lang": "python",
"repo": "huster-wgm/SRCGAN",
"path": "/src/visCas.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def add_color_bar(img, space, cv):
"""
args:
img: (ndarray) in [img_rows, img_cols, channels], dtype as unit8
space: (int) pixels of space
cv: (int) color value in [0, 255]
return:
tmp_img: (ndarray) processed img
"""
assert len(img.shape) == 3, "img sh... | code_fim | hard | {
"lang": "python",
"repo": "huster-wgm/SRCGAN",
"path": "/src/visCas.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.name = name
@classmethod
def show(cls):
print(cls.__instance)
a = A('hello')
print(dir(a))
a.show()
b = A('world')
b.show()<|fim_prefix|># repo: HarryChen0506/learn-python path: /course/p_152/index.py
# for i in range(4):
# if i == 3:
# print('有3')
# break
# els... | code_fim | hard | {
"lang": "python",
"repo": "HarryChen0506/learn-python",
"path": "/course/p_152/index.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: HarryChen0506/learn-python path: /course/p_152/index.py
# for i in range(4):
# if i == 3:
# print('有3')
# break
# else:
# print('111')
# class Person:
# def __init__(self, name, age):
# self.name = name
# self.age = age
# def say(self):
# print('我是{},... | code_fim | hard | {
"lang": "python",
"repo": "HarryChen0506/learn-python",
"path": "/course/p_152/index.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: G-Morgen/GAID path: /preparing_data.py
import os
import re
import random
import shutil
import scipy.misc
import numpy as np
import pandas as pd
import matplotlib.cm as cm
from skimage.draw import circle
import matplotlib.pyplot as plt
# Function for reading PGM files
def read... | code_fim | hard | {
"lang": "python",
"repo": "G-Morgen/GAID",
"path": "/preparing_data.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> image_patches, _ = extract_patches(source_image, patch_size, overlap_allowed=overlap_allowed, cropvalue=cropvalue,
crop_fraction_allowed=crop_fraction_allowed)
if row['abnormality_class'] == 'NORM':
label = np.zeros((np.shape(image_p... | code_fim | hard | {
"lang": "python",
"repo": "G-Morgen/GAID",
"path": "/preparing_data.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> num_abnormal_patches = np.shape(abnormal_patches)[0]
num_normal_patches = np.shape(normal_patches)[0]
num_background = max(50, int(num_normal_patches / 40))
random.shuffle(normal_patches)
random.shuffle(background_patches)
counter = 0
for idx in range(num_abnormal_patches... | code_fim | hard | {
"lang": "python",
"repo": "G-Morgen/GAID",
"path": "/preparing_data.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gussiciliano/python101 path: /2.0-funciones/ejercicios_alumnos/Zardain, Javier/Ejercicios/Ej1.py
'''
Created on 20/10/2016
@author: javier_zardain
Dado una lista de numeros enteros definir una nueva lista que indica la tupla numero-paridad(true/false)
'''
<|fim_suffix|>listaNumerosBoolean=[(x,... | code_fim | easy | {
"lang": "python",
"repo": "gussiciliano/python101",
"path": "/2.0-funciones/ejercicios_alumnos/Zardain, Javier/Ejercicios/Ej1.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>listaNumerosBoolean=[(x,x%2==0) for x in listaNumeros]
print(listaNumerosBoolean)<|fim_prefix|># repo: gussiciliano/python101 path: /2.0-funciones/ejercicios_alumnos/Zardain, Javier/Ejercicios/Ej1.py
'''
Created on 20/10/2016
@author: javier_zardain
Dado una lista de numeros enteros definir una nueva ... | code_fim | easy | {
"lang": "python",
"repo": "gussiciliano/python101",
"path": "/2.0-funciones/ejercicios_alumnos/Zardain, Javier/Ejercicios/Ej1.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>listaNumeros = [1,2,3,4,5,6,7,8,9]
listaNumerosBoolean=[(x,x%2==0) for x in listaNumeros]
print(listaNumerosBoolean)<|fim_prefix|># repo: gussiciliano/python101 path: /2.0-funciones/ejercicios_alumnos/Zardain, Javier/Ejercicios/Ej1.py
'''
Created on 20/10/2016
@author: javier_zardain
<|fim_middle|>Da... | code_fim | medium | {
"lang": "python",
"repo": "gussiciliano/python101",
"path": "/2.0-funciones/ejercicios_alumnos/Zardain, Javier/Ejercicios/Ej1.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> words = [w for w in words_raw if len(w) > 8]
return words<|fim_prefix|># repo: ourresearch/openalex-elastic-api path: /loadtest/utils.py
import requests
def get_words():
word_site = "https://w<|fim_middle|>ww.mit.edu/~ecprice/wordlist.10000"
response = requests.get(word_site)
words_raw... | code_fim | medium | {
"lang": "python",
"repo": "ourresearch/openalex-elastic-api",
"path": "/loadtest/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>t(word_site)
words_raw = response.content.splitlines()
words = [w for w in words_raw if len(w) > 8]
return words<|fim_prefix|># repo: ourresearch/openalex-elastic-api path: /loadtest/utils.py
import requests
def get_words():
word_site = "https://w<|fim_middle|>ww.mit.edu/~ecprice/wordli... | code_fim | medium | {
"lang": "python",
"repo": "ourresearch/openalex-elastic-api",
"path": "/loadtest/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
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