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8bc2c2cca14e3f595950a4c3
train
function
def unknown_target_igsp( setting_list: List[Dict], nodes: set, ci_tester: CI_Tester, invariance_tester: InvarianceTester, depth: Optional[int] = 4, nruns: int = 5, initial_undirected: Optional[Union[str, UndirectedGraph]] = 'threshold', initial_permutation...
def unknown_target_igsp( setting_list: List[Dict], nodes: set, ci_tester: CI_Tester, invariance_tester: InvarianceTester, depth: Optional[int] = 4, nruns: int = 5, initial_undirected: Optional[Union[str, UndirectedGraph]] = 'threshold', initial_permutation...
""" Use the Unknown Target Interventional Greedy Sparsest Permutation algorithm to estimate a DAG in the I-MEC of the data-generating DAG. Parameters ---------- setting_list: A list of dictionaries that provide meta-information about each non-observational setting. nodes: No...
\in I, the distribution of j given its parents varies between the observational and interventional data. setting_list: A list of dictionaries that provide meta-information about each setting. The first setting must be observational. i: Source of the edge being tested. j: ...
256
256
2,228
124
131
uhlerlab/graphical_model_learning
graphical_model_learning/algorithms/dag/gsp.py
Python
unknown_target_igsp
unknown_target_igsp
770
967
770
783
48c0fc8badd49f5449989e38bad358da73c993c9
bigcode/the-stack
train
b889aaa06ad4594a2a969299
train
function
def sparsest_permutation(nodes, ci_tester, progress=False): """ Estimate the Markov equivalence class of a DAG using the Sparsest Permutations (SP) algorithm. Parameters ---------- nodes: list of nodes. ci_tester: object for testing conditional independence. progress: ...
def sparsest_permutation(nodes, ci_tester, progress=False):
""" Estimate the Markov equivalence class of a DAG using the Sparsest Permutations (SP) algorithm. Parameters ---------- nodes: list of nodes. ci_tester: object for testing conditional independence. progress: if True, show a progress bar over the enumeration of permu...
frozenset({pi_i, pi_j}) in fixed_gaps: continue # === TEST MARKOV BLANKET mb = d.markov_blanket_of(pi_i) is_ci = ci_tester.is_ci(pi_i, pi_j, mb) if not is_ci: d.add_arc(pi_i, pi_j, check_acyclic=True) if verbose: print(f"{pi_i} is independent of {pi_j} ...
122
122
407
14
107
uhlerlab/graphical_model_learning
graphical_model_learning/algorithms/dag/gsp.py
Python
sparsest_permutation
sparsest_permutation
109
149
109
109
04f1744ada2df5a822bb51b2fae4eef9a07d53ae
bigcode/the-stack
train
8055911effbeef41774b2b67
train
function
def perm2dag2(perm, ci_tester, node2nbrs=None): arcs = set() for (i, pi_i), (j, pi_j) in itr.combinations(enumerate(perm), 2): c = set(perm[:j]) - {pi_i} c = c if node2nbrs is None else c & (node2nbrs[pi_i] | node2nbrs[pi_j]) print(pi_i, pi_j, c) if not ci_tester.is_ci(pi_i, pi_j...
def perm2dag2(perm, ci_tester, node2nbrs=None):
arcs = set() for (i, pi_i), (j, pi_j) in itr.combinations(enumerate(perm), 2): c = set(perm[:j]) - {pi_i} c = c if node2nbrs is None else c & (node2nbrs[pi_i] | node2nbrs[pi_j]) print(pi_i, pi_j, c) if not ci_tester.is_ci(pi_i, pi_j, c): arcs.add((pi_i, pi_j)) ret...
, nodes - {i} - candidate_parent_set, candidate_parent_set): arcs.update({(parent, i) for parent in candidate_parent_set}) break return DAG(nodes=nodes, arcs=arcs) def perm2dag2(perm, ci_tester, node2nbrs=None):
64
64
145
18
46
uhlerlab/graphical_model_learning
graphical_model_learning/algorithms/dag/gsp.py
Python
perm2dag2
perm2dag2
168
176
168
168
aca2fdd3768a571a73eb5761d1a52e1114942189
bigcode/the-stack
train
049dd9ed86b72a55c6119cf0
train
function
def permutation2dag( perm: list, ci_tester: CI_Tester, verbose=False, fixed_adjacencies: Set[UndirectedEdge]=set(), fixed_gaps: Set[UndirectedEdge]=set(), progress=False ): """ Estimate the minimal IMAP of a DAG which is consistent with the given permutation. ...
def permutation2dag( perm: list, ci_tester: CI_Tester, verbose=False, fixed_adjacencies: Set[UndirectedEdge]=set(), fixed_gaps: Set[UndirectedEdge]=set(), progress=False ):
""" Estimate the minimal IMAP of a DAG which is consistent with the given permutation. Parameters ---------- perm: list of nodes representing the permutation. ci_tester: object for testing conditional independence. verbose: if True, log each CI test. fixed_adjace...
= np.nonzero(current_precision_thresholded[-1])[0] else: parents = np.nonzero(~iszero(current_precision[-1]))[0] label = perm[node] new_arcs = set(itr.product(perm[parents], [label])) - {(label, label)} arcs.update(new_arcs) # marginalize out the last node c...
189
189
631
55
134
uhlerlab/graphical_model_learning
graphical_model_learning/algorithms/dag/gsp.py
Python
permutation2dag
permutation2dag
41
106
41
48
5b9ac98c947f4d1a96a6945a6e049eb6340061da
bigcode/the-stack
train
120210cfd8e72b06a653be42
train
function
def perm2dag_precision(perm, precision, alpha=.01, num_samples=None): perm = np.array(perm) current_precision = precision.copy() current_precision[:, :] = current_precision[perm, :] current_precision[:, :] = current_precision[:, perm] nnodes = precision.shape[0] arcs = set() # iterate throu...
def perm2dag_precision(perm, precision, alpha=.01, num_samples=None):
perm = np.array(perm) current_precision = precision.copy() current_precision[:, :] = current_precision[perm, :] current_precision[:, :] = current_precision[:, perm] nnodes = precision.shape[0] arcs = set() # iterate through the permutation in reverse order for node in range(nnodes-1, -1...
_model_learning.utils.core_utils import powerset, iszero import random from graphical_model_learning.algorithms.undirected import threshold_ug, partial_correlation_threshold from graphical_models import UndirectedGraph import numpy as np from tqdm import trange, tqdm from math import factorial def perm2dag_precision(pe...
78
78
261
18
59
uhlerlab/graphical_model_learning
graphical_model_learning/algorithms/dag/gsp.py
Python
perm2dag_precision
perm2dag_precision
16
38
16
16
833e470ae00c1a44b9de0ac5b323d0a281a76076
bigcode/the-stack
train
7ce0e2b1d302886f70b10623
train
function
def update_minimal_imap(dag, i, j, ci_tester, fixed_adjacencies=set(), fixed_gaps=set()): """ TODO Parameters ---------- TODO Examples -------- TODO """ removed_arcs = set() parents = dag.parents_of(i) for parent in parents: rest = parents - {parent} if ...
def update_minimal_imap(dag, i, j, ci_tester, fixed_adjacencies=set(), fixed_gaps=set()):
""" TODO Parameters ---------- TODO Examples -------- TODO """ removed_arcs = set() parents = dag.parents_of(i) for parent in parents: rest = parents - {parent} if (i, parent) not in fixed_adjacencies | fixed_gaps and (parent, i) not in fixed_adjacencies...
ci_tester.is_ci(pi_i, pi_j, c): arcs.add((pi_i, pi_j)) return DAG(nodes=set(perm), arcs=arcs) def update_minimal_imap(dag, i, j, ci_tester, fixed_adjacencies=set(), fixed_gaps=set()):
64
64
205
28
36
uhlerlab/graphical_model_learning
graphical_model_learning/algorithms/dag/gsp.py
Python
update_minimal_imap
update_minimal_imap
179
201
179
179
a94c68038301f46de41814a0bb8bb541f211c46b
bigcode/the-stack
train
5c8effd1fae9842b6f1e28f2
train
function
def jci_gsp( setting_list: List[Dict], nodes: set, combined_ci_tester: CI_Tester, depth: int = 4, nruns: int = 5, verbose: bool = False, initial_undirected: Optional[Union[str, UndirectedGraph]] = 'threshold', ): """ TODO Parameters ---------- ...
def jci_gsp( setting_list: List[Dict], nodes: set, combined_ci_tester: CI_Tester, depth: int = 4, nruns: int = 5, verbose: bool = False, initial_undirected: Optional[Union[str, UndirectedGraph]] = 'threshold', ):
""" TODO Parameters ---------- TODO Examples -------- TODO """ # CREATE NEW NODES AND OTHER INPUT TO ALGORITHM context_nodes = ['c%d' % i for i in range(len(setting_list))] context_adjacencies = set(itr.permutations(context_nodes, r=2)) known_iv_adjacencies = set.un...
curr_undirected_graph.add_edges_from(nodes2added[removed_node]) # if delete: # curr_undirected_graph.delete_edges_from(nodes2removed[removed_node]) # # permutation.append(removed_node) # # return list(reversed(permutation)) # def min_degree_alg2(undirected_graph): # amat =...
168
169
565
73
95
uhlerlab/graphical_model_learning
graphical_model_learning/algorithms/dag/gsp.py
Python
jci_gsp
jci_gsp
296
357
296
304
3fe39a76004e3fe7f7a4d32300c48da96cec6368
bigcode/the-stack
train
371efd695b898a882742ca7c
train
class
class Direction(IntFlag): Stay = 0 North = 1 East = 2 South = 4 West = 8 All = 15 # get the enum name without the class def __str__(self): return self.name def get_value( direction_list: List[int] ) -> int: ''' convert a list of directions into a single bitfield va...
class Direction(IntFlag):
Stay = 0 North = 1 East = 2 South = 4 West = 8 All = 15 # get the enum name without the class def __str__(self): return self.name def get_value( direction_list: List[int] ) -> int: ''' convert a list of directions into a single bitfield value ''' dir_value = ...
from enum import IntFlag from typing import List,Union ''' simple helper class to enumerate directions in the grid levels ''' class Direction(IntFlag):
30
169
564
5
25
WhatIThinkAbout/BabyRobotGym
babyrobot/envs/lib/direction.py
Python
Direction
Direction
5
65
5
5
bc38e1fd7ddb89e17c9bf3d897e7dd52c1d6ac36
bigcode/the-stack
train
c9e307cd429c0bd6ea7de5dd
train
class
class tm700_rgbd_gym(tm700_possensor_gym): """Class for tm700 environment with diverse objects. """ def __init__(self, urdfRoot=pybullet_data.getDataPath(), objRoot='', actionRepeat=80, isEnableSelfCollision=True, renders=False, ...
class tm700_rgbd_gym(tm700_possensor_gym):
"""Class for tm700 environment with diverse objects. """ def __init__(self, urdfRoot=pybullet_data.getDataPath(), objRoot='', actionRepeat=80, isEnableSelfCollision=True, renders=False, isDiscrete=True, maxSte...
import random import os from gym import spaces import time import json import pybullet as p import numpy as np import pybullet_data import pdb import distutils.dir_util import glob from pathlib import Path from pkg_resources import parse_version import gym from bullet.tm700 import tm700 from bullet.tm700_possensor_Gym ...
115
256
3,637
14
101
Tung-I/RoboticArmSimulator
bullet/shapenet_gym.py
Python
tm700_rgbd_gym
tm700_rgbd_gym
20
391
20
20
c0bc60980b4b2c2dabecd21f134176a49aef3272
bigcode/the-stack
train
c68a5dad68c29b21e7dc36bc
train
function
def main(): print(runbook_json(DslExistingEndpoint))
def main():
print(runbook_json(DslExistingEndpoint))
be given as 'Endpoint.use_existing(<ep-name>)' Existing endpoints are not allowed in endpoints argument in runbook creation """ Task.Exec.ssh( name="Task1", script='echo "hello"', target=ref(Endpoint.use_existing("DslEndpoint")), ) def main():
64
64
13
3
61
tuxtof/calm-dsl
tests/sample_runbooks/existing_endpoint.py
Python
main
main
25
26
25
25
81c6d026e0ed9757ee3591d4e32296507155f8e6
bigcode/the-stack
train
d4cdd9c2d652e68754e69f7d
train
function
@runbook def DslExistingEndpoint(): """ Runbook example for using existing endpoint Existing endpoint as target can be given as 'Endpoint.use_existing(<ep-name>)' Existing endpoints are not allowed in endpoints argument in runbook creation """ Task.Exec.ssh( name="Task1", script...
@runbook def DslExistingEndpoint():
""" Runbook example for using existing endpoint Existing endpoint as target can be given as 'Endpoint.use_existing(<ep-name>)' Existing endpoints are not allowed in endpoints argument in runbook creation """ Task.Exec.ssh( name="Task1", script='echo "hello"', target=ref(...
""" Calm Runbook Sample for running task on already existing endpoint """ from calm.dsl.runbooks import runbook, runbook_json from calm.dsl.runbooks import RunbookTask as Task from calm.dsl.runbooks import CalmEndpoint as Endpoint, ref @runbook def DslExistingEndpoint():
63
64
88
10
52
tuxtof/calm-dsl
tests/sample_runbooks/existing_endpoint.py
Python
DslExistingEndpoint
DslExistingEndpoint
10
22
10
11
60d35c45eafb94ad89f924f0e829a54c37d3b5b8
bigcode/the-stack
train
0289c4ac542e2c5d1e3d3332
train
function
def slice4(s): c = s[0:2] return c
def slice4(s):
c = s[0:2] return c
# @desc A slice is inclusive of the starting index and exclusive of the ending index. def slice4(s):
23
64
18
5
18
readingbat/readingbat-python-content
python/string_ops/slice4.py
Python
slice4
slice4
3
5
3
3
044adf9ff2ef1794079b3815f7beb081b1f58ea2
bigcode/the-stack
train
267878d8a5f83b36793e39d3
train
function
def main(): print(slice4('Car')) print(slice4('Truck')) print(slice4('556843')) print(slice4('Elephant')) print(slice4('Roses'))
def main():
print(slice4('Car')) print(slice4('Truck')) print(slice4('556843')) print(slice4('Elephant')) print(slice4('Roses'))
# @desc A slice is inclusive of the starting index and exclusive of the ending index. def slice4(s): c = s[0:2] return c def main():
39
64
41
3
35
readingbat/readingbat-python-content
python/string_ops/slice4.py
Python
main
main
8
13
8
8
3035835b80740bc857390e7a19b5e7b320501603
bigcode/the-stack
train
90c8e4f517a4b87f7fdc8a03
train
class
class Test(BaseTest): def test_base(self): """ Basic test with exiting Fastcombeat normally """ self.render_config_template( path=os.path.abspath(self.working_dir) + "/log/*" ) fastcombeat_proc = self.start_beat() self.wait_until(lambda: self.log...
class Test(BaseTest):
def test_base(self): """ Basic test with exiting Fastcombeat normally """ self.render_config_template( path=os.path.abspath(self.working_dir) + "/log/*" ) fastcombeat_proc = self.start_beat() self.wait_until(lambda: self.log_contains("fastcombeat ...
from fastcombeat import BaseTest import os class Test(BaseTest):
16
64
95
5
10
ctindel/fastcombeat
tests/system/test_base.py
Python
Test
Test
6
19
6
7
b68f49ef8537cb6cde562397f0562827efe23c39
bigcode/the-stack
train
325b0d632170888b7899ba94
train
function
def sync(tenant_sessions, logger): tenant_ds_enabled = [] #Get DS enabled status for all tenants for session in tenant_sessions: logger.debug('API - Getting Data Security Enabled Status') res = session.request('GET', '/api/v1/provision/dlp/status') info = res.json().get('status') ...
def sync(tenant_sessions, logger):
tenant_ds_enabled = [] #Get DS enabled status for all tenants for session in tenant_sessions: logger.debug('API - Getting Data Security Enabled Status') res = session.request('GET', '/api/v1/provision/dlp/status') info = res.json().get('status') if info: if info ...
def sync(tenant_sessions, logger):
8
64
188
8
0
PaloAltoNetworks/pcs-migration-management
data_security/data_sync.py
Python
sync
sync
1
21
1
1
0077554e2b72ea31e8daeb148f1f5422438ffe86
bigcode/the-stack
train
1cccca08d984aab7b05235ba
train
class
class Consulta(): def __init__(self): def consultar(): pass area = Tk() listbox = Listbox(area) listbox.pack() listbox.insert(END, "a list entry") for item in ["one", "two", "three", "four"]: listbox.insert(END, item) mainloop()
class Consulta():
def __init__(self): def consultar(): pass area = Tk() listbox = Listbox(area) listbox.pack() listbox.insert(END, "a list entry") for item in ["one", "two", "three", "four"]: listbox.insert(END, item) mainloop()
# -*- coding: utf-8 -*- import tkinter from tkinter import * from tkinter import messagebox from tkinter import filedialog import os from os import popen import subprocess import time #Criando classe para executar na celula principal class Consulta():
56
64
76
3
52
gu22/Files_Organizer
Projeto Big Bang/ConsultaBigBang.py
Python
Consulta
Consulta
16
30
16
16
68a28cb5e446946738b74be8c22f67b3e5634a14
bigcode/the-stack
train
0765e18729145fc519a98718
train
function
def im_list_to_blob(ims): """Convert a list of images into a network input. Assumes images are already prepared (means subtracted, BGR order, ...). """ max_shape = np.array([im.shape for im in ims]).max(axis=0) num_images = len(ims) blob = np.zeros((num_images, max_shape[0], max_shape[1], 3), ...
def im_list_to_blob(ims):
"""Convert a list of images into a network input. Assumes images are already prepared (means subtracted, BGR order, ...). """ max_shape = np.array([im.shape for im in ims]).max(axis=0) num_images = len(ims) blob = np.zeros((num_images, max_shape[0], max_shape[1], 3), dtype=n...
functions.""" import numpy as np # from scipy.misc import imread, imresize import cv2 from model.utils.config import cfg import torch try: xrange # Python 2 except NameError: xrange = range # Python 3 def im_list_to_blob(ims):
64
64
137
8
55
xjtAlgo/Visual-Manipulation-Relationship-Network-Pytorch
model/utils/blob.py
Python
im_list_to_blob
im_list_to_blob
23
36
23
23
b87d9da5a67527595fc44611df0e8b61e2689d4e
bigcode/the-stack
train
3d57846519be145813f423f3
train
function
def prep_im_for_blob(im, target_size, max_size, fix_size = False): """Mean subtract and scale an image for use in a blob.""" im = im.astype(np.float32, copy=False) # im = im[:, :, ::-1] im_shape = im.shape im_scale = {} if not fix_size: im_size_min = np.min(im_shape[0:2]) im_sca...
def prep_im_for_blob(im, target_size, max_size, fix_size = False):
"""Mean subtract and scale an image for use in a blob.""" im = im.astype(np.float32, copy=False) # im = im[:, :, ::-1] im_shape = im.shape im_scale = {} if not fix_size: im_size_min = np.min(im_shape[0:2]) im_scale['x'] = float(target_size) / float(im_size_min) im_scale[...
, max_shape[0], max_shape[1], 3), dtype=np.float32) for i in xrange(num_images): im = ims[i] blob[i, 0:im.shape[0], 0:im.shape[1], :] = im return blob def prep_im_for_blob(im, target_size, max_size, fix_size = False):
80
80
268
18
61
xjtAlgo/Visual-Manipulation-Relationship-Network-Pytorch
model/utils/blob.py
Python
prep_im_for_blob
prep_im_for_blob
38
59
38
38
ce0e412d4c26dbe90875616ab26efeb44ff8a8ce
bigcode/the-stack
train
fe651f67a96dec199cb01416
train
function
def prepare_data_batch_from_cvimage(cv_img, is_cuda = True): # BGR to RGB image = cv_img[:, :, ::-1] image, im_scale = prep_im_for_blob(image, cfg.SCALES[0], cfg.TRAIN.COMMON.MAX_SIZE) image = image_normalize(image, mean=cfg.PIXEL_MEANS, std=cfg.PIXEL_STDS) im_info = np.array( [image.shape[...
def prepare_data_batch_from_cvimage(cv_img, is_cuda = True): # BGR to RGB
image = cv_img[:, :, ::-1] image, im_scale = prep_im_for_blob(image, cfg.SCALES[0], cfg.TRAIN.COMMON.MAX_SIZE) image = image_normalize(image, mean=cfg.PIXEL_MEANS, std=cfg.PIXEL_STDS) im_info = np.array( [image.shape[0], image.shape[1], im_scale['y'], im_scale['x'], -1], dtype=np.float3...
485, 0.456, 0.406), std=(0.229, 0.224, 0.225)): im = im * (std + 1e-8) + mean im *= 255. return im.astype(np.float32) def prepare_data_batch_from_cvimage(cv_img, is_cuda = True): # BGR to RGB
81
81
270
22
59
xjtAlgo/Visual-Manipulation-Relationship-Network-Pytorch
model/utils/blob.py
Python
prepare_data_batch_from_cvimage
prepare_data_batch_from_cvimage
71
96
71
72
4b1e72b800d827cc9fcf2187bcd7427560f58422
bigcode/the-stack
train
07305e4f4f0e10b6ba444bf4
train
function
def image_unnormalize(im, mean=(0.485, 0.456, 0.406), std=(0.229, 0.224, 0.225)): im = im * (std + 1e-8) + mean im *= 255. return im.astype(np.float32)
def image_unnormalize(im, mean=(0.485, 0.456, 0.406), std=(0.229, 0.224, 0.225)):
im = im * (std + 1e-8) + mean im *= 255. return im.astype(np.float32)
= (im - mean) / (std + 1e-8) return im.astype(np.float32) def image_unnormalize(im, mean=(0.485, 0.456, 0.406), std=(0.229, 0.224, 0.225)):
64
64
71
40
24
xjtAlgo/Visual-Manipulation-Relationship-Network-Pytorch
model/utils/blob.py
Python
image_unnormalize
image_unnormalize
66
69
66
66
18a43e8e5bbd93c468415c2fcf2b592fe9b82a54
bigcode/the-stack
train
1ec32fe418721146b7967520
train
function
def image_normalize(im, mean=(0.485, 0.456, 0.406), std=(0.229, 0.224, 0.225)): im /= 255. im = (im - mean) / (std + 1e-8) return im.astype(np.float32)
def image_normalize(im, mean=(0.485, 0.456, 0.406), std=(0.229, 0.224, 0.225)):
im /= 255. im = (im - mean) / (std + 1e-8) return im.astype(np.float32)
im_scale['x'], fy=im_scale['y'], interpolation=cv2.INTER_LINEAR) return im, im_scale def image_normalize(im, mean=(0.485, 0.456, 0.406), std=(0.229, 0.224, 0.225)):
64
64
71
38
25
xjtAlgo/Visual-Manipulation-Relationship-Network-Pytorch
model/utils/blob.py
Python
image_normalize
image_normalize
61
64
61
61
58e5c22eb6cd509674d20ae58591a6bea72443d4
bigcode/the-stack
train
b0c07830fbf46936d8258209
train
function
def _apply_log(data, log_changed, log_new): """Helper used to set log10/10^ to data in AMRKDTree""" if not log_changed: return if log_new: np.log10(data, data) else: np.power(10.0, data, data)
def _apply_log(data, log_changed, log_new):
"""Helper used to set log10/10^ to data in AMRKDTree""" if not log_changed: return if log_new: np.log10(data, data) else: np.power(10.0, data, data)
[1, 0, 0], [1, 0, 1], [1, 1, -1], [1, 1, 0], [1, 1, 1], ] ) def _apply_log(data, log_changed, log_new):
64
64
68
12
52
evaneschneider/yt
yt/utilities/amr_kdtree/amr_kdtree.py
Python
_apply_log
_apply_log
53
60
53
53
6c8cd0dae3e3d46ecf8b841667bba8d4b7f3ab93
bigcode/the-stack
train
1b6b51de9288af0261a181c6
train
class
class AMRKDTree(ParallelAnalysisInterface): r"""A KDTree for AMR data. Not applicable to particle or octree-based datasets. """ fields = None log_fields = None no_ghost = True def __init__(self, ds, min_level=None, max_level=None, data_source=None): if not issubclass(ds.index.__...
class AMRKDTree(ParallelAnalysisInterface):
r"""A KDTree for AMR data. Not applicable to particle or octree-based datasets. """ fields = None log_fields = None no_ghost = True def __init__(self, ds, min_level=None, max_level=None, data_source=None): if not issubclass(ds.index.__class__, GridIndex): raise Runti...
.all(dims > 0) # print(grid, dims, li, ri) # Calculate the Volume vol = self.trunk.kd_sum_volume() mylog.debug("AMRKDTree volume = %e", vol) self.trunk.kd_node_check() def sum_cells(self, all_cells=False): cells = 0 for node in self.trunk.depth_traverse(...
256
256
4,011
10
245
evaneschneider/yt
yt/utilities/amr_kdtree/amr_kdtree.py
Python
AMRKDTree
AMRKDTree
162
644
162
162
d6ed90cdc32b7f8f64b2be9760032586e31f683d
bigcode/the-stack
train
fbcd94b00a73e872f1fb9d5a
train
class
class Tree: def __init__( self, ds, comm_rank=0, comm_size=1, left=None, right=None, min_level=None, max_level=None, data_source=None, ): self.ds = ds try: self._id_offset = ds.index.grids[0]._id_offset ...
class Tree:
def __init__( self, ds, comm_rank=0, comm_size=1, left=None, right=None, min_level=None, max_level=None, data_source=None, ): self.ds = ds try: self._id_offset = ds.index.grids[0]._id_offset except Attri...
, -1], [0, -1, 0], [0, -1, 1], [0, 0, -1], # [ 0, 0, 0], [0, 0, 1], [0, 1, -1], [0, 1, 0], [0, 1, 1], [1, -1, -1], [1, -1, 0], [1, -1, 1], [1, 0, -1], [1, 0, 0], [1, 0, 1], [1, 1, -1], [1, 1...
252
252
843
3
249
evaneschneider/yt
yt/utilities/amr_kdtree/amr_kdtree.py
Python
Tree
Tree
63
159
63
63
a11fd3afa3a1e21b92140b943336ddc919b84e84
bigcode/the-stack
train
00299b06243445ef78382c79
train
class
class MLP(nn.Module): def __init__(self, in_size=in_size, layer_size=layer_size, layer_num=layer_num, out_size=out_size): super(MLP, self).__init__() self.hidden_1 = nn.Linear(in_size, layer_size) for i in range(layer_num - 1): self.add_module("hidden_{0}".format(i + 2), nn.Linea...
class MLP(nn.Module):
def __init__(self, in_size=in_size, layer_size=layer_size, layer_num=layer_num, out_size=out_size): super(MLP, self).__init__() self.hidden_1 = nn.Linear(in_size, layer_size) for i in range(layer_num - 1): self.add_module("hidden_{0}".format(i + 2), nn.Linear(layer_size, layer_si...
# @Site : # @File : MLP.py # @Software: PyCharm import torch.nn as nn import torch in_size = 28 * 28 layer_size = 256 layer_num = 3 out_size = 10 class MLP(nn.Module):
64
64
191
6
57
wildkid1024/DNN-optim-tool
nets/MLP.py
Python
MLP
MLP
18
35
18
18
25fd725153fb8391058b7abc946413a533b7ddb8
bigcode/the-stack
train
ae8519b4601d7f9c519e493d
train
class
class TimeStampPlugin(service_base.ServicePluginBase, ts_db.TimeStamp_db_mixin): """Implements Neutron Timestamp Service plugin.""" supported_extension_aliases = ['timestamp_core', 'timestamp_ext'] def __init__(self): super(TimeStampPlugin, self).__init__() self.regis...
class TimeStampPlugin(service_base.ServicePluginBase, ts_db.TimeStamp_db_mixin):
"""Implements Neutron Timestamp Service plugin.""" supported_extension_aliases = ['timestamp_core', 'timestamp_ext'] def __init__(self): super(TimeStampPlugin, self).__init__() self.register_db_events() rs_model_maps = { attributes.NETWORKS: models_v2.Network, ...
.db import db_base_plugin_v2 from neutron.db import l3_db from neutron.db.models import securitygroup as sg_db from neutron.db import models_v2 from neutron.extensions import l3 from neutron.extensions import securitygroup as sg from neutron.objects import base as base_obj from neutron.services import service_base from...
97
97
326
19
77
igor-toga/local-snat
neutron/services/timestamp/timestamp_plugin.py
Python
TimeStampPlugin
TimeStampPlugin
27
62
27
28
a50cde80be0245c6b9ed1f2c0b3fae5b6ae345cf
bigcode/the-stack
train
264dd30bfd50c88d11f03b01
train
function
def main(): from itertools import accumulate n, k = map(int, input().split()) p = [int(i) + 1 for i in input().split()] e = list(accumulate([0] + p)) ans = 0 for j in range(n - k + 1): ans = max(ans, e[j + k] - e[j]) print(ans / 2)
def main():
from itertools import accumulate n, k = map(int, input().split()) p = [int(i) + 1 for i in input().split()] e = list(accumulate([0] + p)) ans = 0 for j in range(n - k + 1): ans = max(ans, e[j + k] - e[j]) print(ans / 2)
# -*- coding: utf-8 -*- def main():
11
64
91
3
8
KATO-Hiro/AtCoder
ABC/abc151-abc200/abc154/d.py
Python
main
main
4
15
4
4
87c50cb2aaac0eefd10295634fae113acf28ca75
bigcode/the-stack
train
da18ae810c84b8807aa3b55f
train
class
class LDAPBackendTest(unittest2.TestCase): def test_instantaite_no_group_dns_provided(self): # User is member of two of the groups, but none of them are required required_group_dns = [] expected_msg = 'One or more user groups must be specified' self.assertRaisesRegexp(ValueError, ex...
class LDAPBackendTest(unittest2.TestCase):
def test_instantaite_no_group_dns_provided(self): # User is member of two of the groups, but none of them are required required_group_dns = [] expected_msg = 'One or more user groups must be specified' self.assertRaisesRegexp(ValueError, expected_msg, ldap_backend.LDAPAuthenticationB...
'], 'objectGUID': ['\x1cR\xca\x12\x8a\xda\x8eL\xabe\xcfp\xda\x17H\xf7'], 'primaryGroupID': ['513'], 'pwdLastSet': ['131144314220000000'], 'sAMAccountName': ['tomaz'], 'sAMAccountType': ['805306368'], 'sn': ['Muraus'], 'uSNChanged': ['9835'], 'uSNCreated': ['3550'], 'userAccountContro...
256
256
8,329
9
247
sagar-orchestral/st2-auth-ldap
tests/unit/test_backend.py
Python
LDAPBackendTest
LDAPBackendTest
81
1,045
81
82
808d6e748d274a8cfe7bdecb8858213466fc4628
bigcode/the-stack
train
41c3f81614039481123eec23
train
class
class WalletNode: key_config: Dict config: Dict constants: ConsensusConstants server: Optional[WheatServer] log: logging.Logger wallet_peers: WalletPeers # Maintains the state of the wallet (blockchain and transactions), handles DB connections wallet_state_manager: Optional[WalletStateMa...
class WalletNode:
key_config: Dict config: Dict constants: ConsensusConstants server: Optional[WheatServer] log: logging.Logger wallet_peers: WalletPeers # Maintains the state of the wallet (blockchain and transactions), handles DB connections wallet_state_manager: Optional[WalletStateManager] # How ...
from wheat.types.blockchain_format.sized_bytes import bytes32 from wheat.types.coin_solution import CoinSolution from wheat.types.header_block import HeaderBlock from wheat.types.mempool_inclusion_status import MempoolInclusionStatus from wheat.types.peer_info import PeerInfo from wheat.util.byte_types import hexstr_to...
256
256
8,216
4
251
Jsewill/wheat-blockchain
wheat/wallet/wallet_node.py
Python
WalletNode
WalletNode
58
998
58
58
274f1af31c8000cea76535425e6103e72174cf67
bigcode/the-stack
train
59508193f638978fae345872
train
function
def test_mult(): assert mult(2,2)==4
def test_mult():
assert mult(2,2)==4
import pytest from principal import soma from principal import mult def test_soma(): assert soma(2,4)==6 def test_mult():
32
64
13
4
27
gabrielMoralles/Travisteste
teste.py
Python
test_mult
test_mult
10
12
10
11
c5df4764fc5cd864cced38ce3cad6bad278c8880
bigcode/the-stack
train
8e2c6c8454badeda5987e04e
train
function
def test_soma(): assert soma(2,4)==6
def test_soma():
assert soma(2,4)==6
import pytest from principal import soma from principal import mult def test_soma():
18
64
15
5
12
gabrielMoralles/Travisteste
teste.py
Python
test_soma
test_soma
7
8
7
7
ea7401a19dede1d67a842a36a17ead53d021fae1
bigcode/the-stack
train
b3a25a491a077c9515e9d680
train
class
class TestProperties(KratosUnittest.TestCase): def test_copy_properties(self): current_model = KM.Model() model_part= current_model.CreateModelPart("Main") model_part.CreateNewProperties(1) properties = model_part.GetProperties()[1] properties.SetValue(KM.YOUNG_MODULUS, 1...
class TestProperties(KratosUnittest.TestCase):
def test_copy_properties(self): current_model = KM.Model() model_part= current_model.CreateModelPart("Main") model_part.CreateNewProperties(1) properties = model_part.GetProperties()[1] properties.SetValue(KM.YOUNG_MODULUS, 1.0) self.assertEqual(properties.GetValue...
import KratosMultiphysics.KratosUnittest as KratosUnittest import KratosMultiphysics as KM class TestProperties(KratosUnittest.TestCase):
37
127
424
11
25
ma6yu/Kratos
kratos/tests/test_properties.py
Python
TestProperties
TestProperties
4
43
4
5
b8353b816d04aa0beb9b8e8796bf18041af3653c
bigcode/the-stack
train
8365119f15025055e89fe99b
train
function
def evaluate(args, loader, generator, num_samples): trajs = [] times = [] ade_outer, fde_outer = [], [] total_traj = 0 with torch.no_grad(): for batch in loader: batch = [tensor.cuda() for tensor in batch] (obs_traj, pred_traj_gt, obs_traj_rel, pred_traj_gt_rel, ...
def evaluate(args, loader, generator, num_samples):
trajs = [] times = [] ade_outer, fde_outer = [], [] total_traj = 0 with torch.no_grad(): for batch in loader: batch = [tensor.cuda() for tensor in batch] (obs_traj, pred_traj_gt, obs_traj_rel, pred_traj_gt_rel, non_linear_ped, loss_mask, seq_start_end) = ...
generator.train() return generator def evaluate_helper(error, seq_start_end): sum_ = 0 error = torch.stack(error, dim=1) for (start, end) in seq_start_end: start = start.item() end = end.item() _error = error[start:end] _error = torch.sum(_error, dim=0) _er...
111
112
375
11
100
LucasPagano/trajectory_cnn
scripts/evaluate_model.py
Python
evaluate
evaluate
67
107
67
67
d3efc0a592ec96ef38f70f425fbf22bd5d49fdc8
bigcode/the-stack
train
ca3b28e72f7b7013498e0497
train
function
def get_generator(checkpoint): args = AttrDict(checkpoint['args']) generator = TrajectoryGenerator( obs_len=args.obs_len, pred_len=args.pred_len, embedding_dim=args.embedding_dim, encoder_h_dim=args.encoder_h_dim_g, decoder_h_dim=args.decoder_h_dim_g, mlp_dim=args...
def get_generator(checkpoint):
args = AttrDict(checkpoint['args']) generator = TrajectoryGenerator( obs_len=args.obs_len, pred_len=args.pred_len, embedding_dim=args.embedding_dim, encoder_h_dim=args.encoder_h_dim_g, decoder_h_dim=args.decoder_h_dim_g, mlp_dim=args.mlp_dim, num_layers=ar...
get_dset_path import numpy as np import time parser = argparse.ArgumentParser() parser.add_argument('--model_path', type=str) parser.add_argument('--num_samples', default=20, type=int) parser.add_argument('--dset_type', default='test', type=str) def get_generator(checkpoint):
64
64
185
6
58
LucasPagano/trajectory_cnn
scripts/evaluate_model.py
Python
get_generator
get_generator
27
50
27
27
019e06e80baa32cb0001c2f5ccf749b1f26b654a
bigcode/the-stack
train
9df2f0cdd92076b13dc15297
train
function
def evaluate_helper(error, seq_start_end): sum_ = 0 error = torch.stack(error, dim=1) for (start, end) in seq_start_end: start = start.item() end = end.item() _error = error[start:end] _error = torch.sum(_error, dim=0) _error = torch.min(_error) sum_ += _erro...
def evaluate_helper(error, seq_start_end):
sum_ = 0 error = torch.stack(error, dim=1) for (start, end) in seq_start_end: start = start.item() end = end.item() _error = error[start:end] _error = torch.sum(_error, dim=0) _error = torch.min(_error) sum_ += _error return sum_
bottleneck_dim=args.bottleneck_dim, neighborhood_size=args.neighborhood_size, grid_size=args.grid_size, batch_norm=args.batch_norm) generator.load_state_dict(checkpoint['g_state']) generator.cuda() generator.train() return generator def evaluate_helper(error, seq_start_en...
64
64
92
9
54
LucasPagano/trajectory_cnn
scripts/evaluate_model.py
Python
evaluate_helper
evaluate_helper
53
64
53
53
8471b339102b872a38e031b2c1cea77a84769d46
bigcode/the-stack
train
cdaa32c117db1900ff297150
train
function
def main(args): if os.path.isdir(args.model_path): filenames = os.listdir(args.model_path) filenames.sort() paths = [ os.path.join(args.model_path, file_) for file_ in filenames ] else: paths = [args.model_path] for path in paths: checkpoint = tor...
def main(args):
if os.path.isdir(args.model_path): filenames = os.listdir(args.model_path) filenames.sort() paths = [ os.path.join(args.model_path, file_) for file_ in filenames ] else: paths = [args.model_path] for path in paths: checkpoint = torch.load(path) ...
de_sum = evaluate_helper(fde, seq_start_end) ade_outer.append(ade_sum) fde_outer.append(fde_sum) ade = sum(ade_outer) / (total_traj * args.pred_len) fde = sum(fde_outer) / (total_traj) return ade, fde, trajs, times def main(args):
78
78
261
4
73
LucasPagano/trajectory_cnn
scripts/evaluate_model.py
Python
main
main
111
136
111
111
4382231fc1eaf648424380a8abb454e6a5dede9f
bigcode/the-stack
train
7c9de761664bcb1dc050f657
train
class
class Solution(object): def canPartition(self, nums): """ :type nums: List[int] :rtype: bool """ s = sum(nums) if s%2!=0: return False t = s//2 if max(nums)>t: return False old = set([0]) for n in nums: ...
class Solution(object):
def canPartition(self, nums): """ :type nums: List[int] :rtype: bool """ s = sum(nums) if s%2!=0: return False t = s//2 if max(nums)>t: return False old = set([0]) for n in nums: new = set() ...
class Solution(object):
4
64
135
4
0
szhu3210/LeetCode_Solutions
LC/416.py
Python
Solution
Solution
1
26
1
1
778ac4544810cd52ed0bcdd084c65a7f856cda3b
bigcode/the-stack
train
d8728390aefe785e44ec0981
train
function
def export(): return thread_delete_middleware
def export():
return thread_delete_middleware
------- Tuple[:class:`str`, List[:class:`~pincer.objects.guild.channel.Channel`]] ``on_thread_delete`` and an ``Channel`` """ return "on_thread_delete", [ Channel.from_dict(construct_client_dict(self, payload.data)) ] def export():
63
64
10
3
60
MithicSpirit/Pincer
pincer/middleware/thread_delete.py
Python
export
export
32
33
32
32
7b65b391ede9ac2fa67e2fef8d0cadd96d0d4be1
bigcode/the-stack
train
98ccdb104f909879d77c5b38
train
function
async def thread_delete_middleware(self, payload: GatewayDispatch): """|coro| Middleware for ``on_thread_delete`` event. Parameters ---------- payload : :class:`GatewayDispatch` The data received from the thread delete event. Returns ------- Tuple[:class:`str`, List[:class:`~p...
async def thread_delete_middleware(self, payload: GatewayDispatch):
"""|coro| Middleware for ``on_thread_delete`` event. Parameters ---------- payload : :class:`GatewayDispatch` The data received from the thread delete event. Returns ------- Tuple[:class:`str`, List[:class:`~pincer.objects.guild.channel.Channel`]] ``on_thread_delete`` ...
-Present # Full MIT License can be found in `LICENSE` at the project root. """sent when a thread is deleted""" from ..core.dispatch import GatewayDispatch from ..objects import Channel from ..utils.conversion import construct_client_dict async def thread_delete_middleware(self, payload: GatewayDispatch):
64
64
115
13
50
MithicSpirit/Pincer
pincer/middleware/thread_delete.py
Python
thread_delete_middleware
thread_delete_middleware
11
29
11
11
db01f330bcdb8be9824c9e4aa79df43e41ec191b
bigcode/the-stack
train
83449c3f0ca4ce166d448ec2
train
class
class Console(): '''the console interface for the subnet calculator''' EXIT = 'close' HELP = 'help' PROMPT = '>>> ' IN_PROMPT = '?> ' ERR_PROMPT = '!> ' OUT_PROMPT = '#> ' def help(): '''print a help message''' print(Console.PROMPT+'Input an IPv4 network addre...
class Console():
'''the console interface for the subnet calculator''' EXIT = 'close' HELP = 'help' PROMPT = '>>> ' IN_PROMPT = '?> ' ERR_PROMPT = '!> ' OUT_PROMPT = '#> ' def help(): '''print a help message''' print(Console.PROMPT+'Input an IPv4 network address with a slash no...
from subnetter import SubnetterV4 from subnet import SubnetV4 class Console():
21
209
697
3
17
dGameBoy101b/subnet-calculator
console.py
Python
Console
Console
4
80
4
4
da49250474f0385144bb32a4825c9109fd796bbd
bigcode/the-stack
train
d1912a4e99b7c86319d30931
train
function
def main(): """Run administrative tasks.""" os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'device_notification_subsystem.settings') try: from django.core.management import execute_from_command_line except ImportError as exc: raise ImportError( "Couldn't import Django. Are y...
def main():
"""Run administrative tasks.""" os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'device_notification_subsystem.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...
; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. """ import os import sys def main():
64
64
101
3
60
CACF/Notification-Subsystem
manage.py
Python
main
main
36
47
36
36
0943e22dd0a52d3863910278b6e82a6e3e802b33
bigcode/the-stack
train
ca5178f67d9e69ea5168d546
train
function
def TwoPeriodSunnyTimes(constant,delta,slope,slopedir,lat): # First derive A1 and A2 from the normal procedure A1,A2 = SunHours(delta,slope,slopedir,lat) # Then calculate the other two functions. # Initialize function a,b,c = Constants(delta,slope,slopedir,lat) riseSlope, setSl...
def TwoPeriodSunnyTimes(constant,delta,slope,slopedir,lat): # First derive A1 and A2 from the normal procedure
A1,A2 = SunHours(delta,slope,slopedir,lat) # Then calculate the other two functions. # Initialize function a,b,c = Constants(delta,slope,slopedir,lat) riseSlope, setSlope = BoundsSlope(a,b,c) B1 = np.maximum(riseSlope,setSlope) B2 = np.minimum(riseSlope,setSlope) ...
,lat): # Initialize function sunrise,sunset = SunHours(delta,slope,slopedir,lat) # Finally calculate resulting values Vals = IntegrateSlope(constant,sunrise,sunset,delta,slope,slopedir,lat) return(Vals) def TwoPeriodSunnyTimes(constant,delta,slope,slopedir,lat): # First derive A1...
96
96
320
32
64
ElgaSalvadore/watools
Products/ETref/SlopeInfluence_ETref.py
Python
TwoPeriodSunnyTimes
TwoPeriodSunnyTimes
256
280
256
257
d13c62f35fd885c8801e1009c2b0af95dd654ccf
bigcode/the-stack
train
cdbc04e7f280384943ad895b
train
function
def Table1b(w1,w2,w1b,w2b): f1 = np.sin(w2b) - np.sin(w1) + np.sin(w2) - np.sin(w1b) f2 = np.cos(w2b) - np.cos(w1) + np.cos(w2) - np.cos(w1b) f3 = w2b - w1 + w2 - w1b f4 = np.sin(2*w2b) - np.sin(2*w1) + np.sin(2*w2) - np.sin(2*w1b) f5 = np.sin(w2b)**2 - np.sin(w1)**2 + np.sin(w2)**2 - np.sin(w1b)**2...
def Table1b(w1,w2,w1b,w2b):
f1 = np.sin(w2b) - np.sin(w1) + np.sin(w2) - np.sin(w1b) f2 = np.cos(w2b) - np.cos(w1) + np.cos(w2) - np.cos(w1b) f3 = w2b - w1 + w2 - w1b f4 = np.sin(2*w2b) - np.sin(2*w1) + np.sin(2*w2) - np.sin(2*w1b) f5 = np.sin(w2b)**2 - np.sin(w1)**2 + np.sin(w2)**2 - np.sin(w1b)**2 return f1, f2, f3, f4, ...
*sunset) - np.sin(2*sunrise) f5 = np.sin(sunset)**2 - np.sin(sunrise)**2 return f1, f2, f3, f4, f5 def Table1b(w1,w2,w1b,w2b):
64
64
179
15
48
ElgaSalvadore/watools
Products/ETref/SlopeInfluence_ETref.py
Python
Table1b
Table1b
162
168
162
162
37d3c233b36a314a6f3ba28a1a60a33cf9ebf092
bigcode/the-stack
train
9334baef62ef7903b6bade1e
train
function
def Table2(delta,lat,slope,slopedir): a = np.sin(delta)*np.cos(lat)*np.sin(slope)*np.cos(slopedir) - np.sin(delta)*np.sin(lat)*np.cos(slope) b = np.cos(delta)*np.cos(lat)*np.cos(slope) + np.cos(delta)*np.sin(lat)*np.sin(slope)*np.cos(slopedir) c = np.cos(delta)*np.sin(slopedir)*np.sin(slope) g = np.sin(...
def Table2(delta,lat,slope,slopedir):
a = np.sin(delta)*np.cos(lat)*np.sin(slope)*np.cos(slopedir) - np.sin(delta)*np.sin(lat)*np.cos(slope) b = np.cos(delta)*np.cos(lat)*np.cos(slope) + np.cos(delta)*np.sin(lat)*np.sin(slope)*np.cos(slopedir) c = np.cos(delta)*np.sin(slopedir)*np.sin(slope) g = np.sin(delta)*np.sin(lat) h = np.cos(delt...
f5 = np.sin(w2b)**2 - np.sin(w1)**2 + np.sin(w2)**2 - np.sin(w1b)**2 return f1, f2, f3, f4, f5 def Table2(delta,lat,slope,slopedir):
64
64
134
13
50
ElgaSalvadore/watools
Products/ETref/SlopeInfluence_ETref.py
Python
Table2
Table2
170
177
170
170
337e3f24ceb4823d5639b3e5ba4a1be4c5012cb8
bigcode/the-stack
train
01f414fcedebd288745f1acd
train
function
def IntegrateNormal(constant,sunrise,sunset): integral = constant * (sunset - sunrise) return(integral)
def IntegrateNormal(constant,sunrise,sunset):
integral = constant * (sunset - sunrise) return(integral)
(ws)) # integral = constant * (np.sin(delta)*np.sin(lat)*(sunset-sunrise) # + np.cos(delta)*np.cos(lat)*(np.sin(sunset)-np.sin(sunrise))) return(integral) def IntegrateNormal(constant,sunrise,sunset):
64
64
29
12
52
ElgaSalvadore/watools
Products/ETref/SlopeInfluence_ETref.py
Python
IntegrateNormal
IntegrateNormal
368
370
368
368
44b6ed93b6146c46f43284731dedfb3eb24294d2
bigcode/the-stack
train
98e2ee40c3e7acfd44a29465
train
function
def TwoPeriods(delta,slope,lat): # Equation 7 TwoPeriod = (np.sin(slope) > np.ones(slope.shape)*np.sin(lat)*np.cos(delta)+np.cos(lat)*np.sin(delta)) return(TwoPeriod)
def TwoPeriods(delta,slope,lat): # Equation 7
TwoPeriod = (np.sin(slope) > np.ones(slope.shape)*np.sin(lat)*np.cos(delta)+np.cos(lat)*np.sin(delta)) return(TwoPeriod)
] = -1; sinA[sinA > 1] = 1 sunrise = np.arcsin(sinA) sunset = np.arcsin(sinB) return(sunrise,sunset) def TwoPeriods(delta,slope,lat): # Equation 7
63
64
54
15
48
ElgaSalvadore/watools
Products/ETref/SlopeInfluence_ETref.py
Python
TwoPeriods
TwoPeriods
345
348
345
346
465a21f3c59d2959b8932a38f62479a167fc5498
bigcode/the-stack
train
ce80870d46762aea475dd484
train
function
def Table1a(sunrise,sunset): f1 = np.sin(sunset) - np.sin(sunrise) f2 = np.cos(sunset) - np.cos(sunrise) f3 = sunset - sunrise f4 = np.sin(2*sunset) - np.sin(2*sunrise) f5 = np.sin(sunset)**2 - np.sin(sunrise)**2 return f1, f2, f3, f4, f5
def Table1a(sunrise,sunset):
f1 = np.sin(sunset) - np.sin(sunrise) f2 = np.cos(sunset) - np.cos(sunrise) f3 = sunset - sunrise f4 = np.sin(2*sunset) - np.sin(2*sunrise) f5 = np.sin(sunset)**2 - np.sin(sunrise)**2 return f1, f2, f3, f4, f5
.75 + 0.25*np.cos(slope) - (0.5*slope/np.pi) return(Horizontal,Sloping, sinb, sinb_hor, fi, slope, np.where(np.ravel(TwoPeriod == True))) def Table1a(sunrise,sunset):
64
64
107
10
54
ElgaSalvadore/watools
Products/ETref/SlopeInfluence_ETref.py
Python
Table1a
Table1a
154
160
154
154
168fb04403a86a89e02e62af0276c2a29852c831
bigcode/the-stack
train
d04735a921c2b42310d1ceb6
train
function
def BoundsHorizontal(delta,lat): # This function calculates sunrise hours based on earth inclination and latitude # If there is no sunset or sunrise hours the values are either set to 0 (polar night) # or pi (polar day) bound = np.arccos(-np.tan(delta)*np.tan(lat)) bound[abs(delta+lat) > (np.pi/...
def BoundsHorizontal(delta,lat): # This function calculates sunrise hours based on earth inclination and latitude # If there is no sunset or sunrise hours the values are either set to 0 (polar night) # or pi (polar day)
bound = np.arccos(-np.tan(delta)*np.tan(lat)) bound[abs(delta+lat) > (np.pi/2)] = np.pi bound[abs(delta-lat) > (np.pi/2)] = 0 return(bound)
)*np.sin(delta)) return(TwoPeriod) def BoundsHorizontal(delta,lat): # This function calculates sunrise hours based on earth inclination and latitude # If there is no sunset or sunrise hours the values are either set to 0 (polar night) # or pi (polar day)
63
64
112
52
11
ElgaSalvadore/watools
Products/ETref/SlopeInfluence_ETref.py
Python
BoundsHorizontal
BoundsHorizontal
350
358
350
353
a70fb5c7e4feb288fcbe86497e4942849e405648
bigcode/the-stack
train
cdb659fe12abfe22373a3f0d
train
function
def SunHours(delta,slope,slopedir,lat): # Define sun hours in case of one sunlight period a,b,c = Constants(delta,slope,slopedir,lat) riseSlope, setSlope = BoundsSlope(a,b,c) bound = BoundsHorizontal(delta,lat) Calculated = np.zeros(slope.shape, dtype = bool) RiseFinal = np.zeros(s...
def SunHours(delta,slope,slopedir,lat): # Define sun hours in case of one sunlight period
a,b,c = Constants(delta,slope,slopedir,lat) riseSlope, setSlope = BoundsSlope(a,b,c) bound = BoundsHorizontal(delta,lat) Calculated = np.zeros(slope.shape, dtype = bool) RiseFinal = np.zeros(slope.shape) SetFinal = np.zeros(slope.shape) # First check sunrise is not nan ...
1 + w2 - w1b f4 = np.sin(2*w2b) - np.sin(2*w1) + np.sin(2*w2) - np.sin(2*w1b) f5 = np.sin(w2b)**2 - np.sin(w1)**2 + np.sin(w2)**2 - np.sin(w1b)**2 return f1, f2, f3, f4, f5 def Table2(delta,lat,slope,slopedir): a = np.sin(delta)*np.cos(lat)*np.sin(slope)*np.cos(slopedir) - np.sin(delta)*np.sin(lat)*np....
256
256
878
25
230
ElgaSalvadore/watools
Products/ETref/SlopeInfluence_ETref.py
Python
SunHours
SunHours
179
245
179
181
702ac1997508c337777e8bf577bb77d8aa2f0009
bigcode/the-stack
train
e1504f33bd69b9773e2897a5
train
function
def BoundsSlope(a,b,c): #Equation 13 Div = (b**2+c**2) Div[Div <= 0] = 0.00001 sinB = (a*c + b*np.sqrt(b**2+c**2-a**2))/ Div sinA = (a*c - b*np.sqrt(b**2+c**2-a**2))/ Div sinB[sinB < -1] = -1; sinB[sinB > 1] = 1 sinA[sinA < -1] = -1; sinA[sinA > 1] = 1 sunrise = np.arcsin(si...
def BoundsSlope(a,b,c): #Equation 13
Div = (b**2+c**2) Div[Div <= 0] = 0.00001 sinB = (a*c + b*np.sqrt(b**2+c**2-a**2))/ Div sinA = (a*c - b*np.sqrt(b**2+c**2-a**2))/ Div sinB[sinB < -1] = -1; sinB[sinB > 1] = 1 sinA[sinA < -1] = -1; sinA[sinA > 1] = 1 sunrise = np.arcsin(sinA) sunset = np.arcsin(sinB) retu...
b*np.cos(time) + c*np.sin(time) return(angle) def AngleHorizontal(delta,lat,time): angle = np.sin(delta)*np.sin(lat)+np.cos(delta)*np.cos(lat)*np.cos(time) return(angle) def BoundsSlope(a,b,c): #Equation 13
64
64
170
13
51
ElgaSalvadore/watools
Products/ETref/SlopeInfluence_ETref.py
Python
BoundsSlope
BoundsSlope
331
343
331
332
950023fe34f247d5965437f1aecb703310e7a019
bigcode/the-stack
train
3d1f214347ba3190cb950b14
train
function
def AngleSlope(a,b,c,time): angle = -a + b*np.cos(time) + c*np.sin(time) return(angle)
def AngleSlope(a,b,c,time):
angle = -a + b*np.cos(time) + c*np.sin(time) return(angle)
.cos(delta)*np.cos(lat)*np.cos(slope) + np.cos(delta)*np.sin(lat)*np.sin(slope)*np.cos(slopedir) c = np.cos(delta)*np.sin(slope)*np.sin(slopedir) return(a,b,c) def AngleSlope(a,b,c,time):
64
64
29
8
56
ElgaSalvadore/watools
Products/ETref/SlopeInfluence_ETref.py
Python
AngleSlope
AngleSlope
323
325
323
323
2320fab4410a953772476fa59d791994b5a58f0d
bigcode/the-stack
train
b447326a99f363414cac9c6b
train
function
def IntegrateHorizontal(constant,sunrise,sunset,delta,lat): # Equation 4 & 6 ws = np.arccos(-np.tan(delta)*np.tan(lat)) integral = constant * (np.sin(delta)*np.sin(lat)*ws + np.cos(delta)*np.cos(lat)*np.sin(ws)) # integral = constant * (np.sin(delta)*np.sin(lat)*(sunset-sunrise) # + np.co...
def IntegrateHorizontal(constant,sunrise,sunset,delta,lat): # Equation 4 & 6
ws = np.arccos(-np.tan(delta)*np.tan(lat)) integral = constant * (np.sin(delta)*np.sin(lat)*ws + np.cos(delta)*np.cos(lat)*np.sin(ws)) # integral = constant * (np.sin(delta)*np.sin(lat)*(sunset-sunrise) # + np.cos(delta)*np.cos(lat)*(np.sin(sunset)-np.sin(sunrise))) return(integral)
abs(delta+lat) > (np.pi/2)] = np.pi bound[abs(delta-lat) > (np.pi/2)] = 0 return(bound) def IntegrateHorizontal(constant,sunrise,sunset,delta,lat): # Equation 4 & 6
64
64
121
25
39
ElgaSalvadore/watools
Products/ETref/SlopeInfluence_ETref.py
Python
IntegrateHorizontal
IntegrateHorizontal
360
366
360
361
54e01f8072dae2e2502bd9884f2e2fb24779cc40
bigcode/the-stack
train
58ad67c1370d9ae8635442a9
train
function
def IntegrateSlope(constant,sunrise,sunset,delta,slope,slopedir,lat): # Equation 5 & 6 integral = constant * (np.sin(delta)*np.sin(lat)*np.cos(slope)*(sunset-sunrise) - np.sin(delta)*np.cos(lat)*np.sin(slope)*np.cos(slopedir)*(sunset-sunrise) + np.cos(delta)*np.cos(lat)*np.cos(s...
def IntegrateSlope(constant,sunrise,sunset,delta,slope,slopedir,lat): # Equation 5 & 6
integral = constant * (np.sin(delta)*np.sin(lat)*np.cos(slope)*(sunset-sunrise) - np.sin(delta)*np.cos(lat)*np.sin(slope)*np.cos(slopedir)*(sunset-sunrise) + np.cos(delta)*np.cos(lat)*np.cos(slope)*(np.sin(sunset)-np.sin(sunrise)) + np.cos(delta)*np.sin(lat)*np.sin(s...
(integral) def IntegrateNormal(constant,sunrise,sunset): integral = constant * (sunset - sunrise) return(integral) def IntegrateSlope(constant,sunrise,sunset,delta,slope,slopedir,lat): # Equation 5 & 6
64
64
176
31
33
ElgaSalvadore/watools
Products/ETref/SlopeInfluence_ETref.py
Python
IntegrateSlope
IntegrateSlope
372
379
372
373
9badbf5189f2a3aa3edc7daf7fdc3ccd34b83829
bigcode/the-stack
train
c5bb0e4b003ade00258ff432
train
function
def TwoPeriodSun(constant,delta,slope,slopedir,lat): # First derive A1 and A2 from the normal procedure A1,A2 = SunHours(delta,slope,slopedir,lat) # Then calculate the other two functions. # Initialize function a,b,c = Constants(delta,slope,slopedir,lat) riseSlope, setSlope = B...
def TwoPeriodSun(constant,delta,slope,slopedir,lat): # First derive A1 and A2 from the normal procedure
A1,A2 = SunHours(delta,slope,slopedir,lat) # Then calculate the other two functions. # Initialize function a,b,c = Constants(delta,slope,slopedir,lat) riseSlope, setSlope = BoundsSlope(a,b,c) B1 = np.maximum(riseSlope,setSlope) B2 = np.minimum(riseSlope,setSlope) ...
(Angle_B2) > 0.001] # Check if two periods really exist ID = np.ravel_multi_index(np.where(np.logical_and(B2 >= A1, B1 <= A2) == True),a.shape) Val = IntegrateSlope(constant,B2.flat[ID],B1.flat[ID],delta,slope.flat[ID],slopedir.flat[ID],lat.flat[ID]) ID = ID[Val < 0] return A1,A2,B1,B2...
144
144
480
31
112
ElgaSalvadore/watools
Products/ETref/SlopeInfluence_ETref.py
Python
TwoPeriodSun
TwoPeriodSun
282
314
282
283
a83d0e0d878bb6aca18d25b8184507c673c64554
bigcode/the-stack
train
d444ab6f892deab478743f44
train
function
def Constants(delta,slope,slopedir,lat): # Equation 11 a = np.sin(delta)*np.cos(lat)*np.sin(slope)*np.cos(slopedir) - np.sin(delta)*np.sin(lat)*np.cos(slope) b = np.cos(delta)*np.cos(lat)*np.cos(slope) + np.cos(delta)*np.sin(lat)*np.sin(slope)*np.cos(slopedir) c = np.cos(delta)*np.sin(slope)*np.sin(slop...
def Constants(delta,slope,slopedir,lat): # Equation 11
a = np.sin(delta)*np.cos(lat)*np.sin(slope)*np.cos(slopedir) - np.sin(delta)*np.sin(lat)*np.cos(slope) b = np.cos(delta)*np.cos(lat)*np.cos(slope) + np.cos(delta)*np.sin(lat)*np.sin(slope)*np.cos(slopedir) c = np.cos(delta)*np.sin(slope)*np.sin(slopedir) return(a,b,c)
[ID] = IntegrateSlope(constant,A1.flat[ID],A2.flat[ID],delta,slope.flat[ID],slopedir.flat[ID],lat.flat[ID]) return(Vals) def Constants(delta,slope,slopedir,lat): # Equation 11
64
64
114
18
46
ElgaSalvadore/watools
Products/ETref/SlopeInfluence_ETref.py
Python
Constants
Constants
316
321
316
317
d8dcc099f3d54f1f5e2e8cd583cb03e1a5f45bc6
bigcode/the-stack
train
c4af0da1ed73c5f855f5467e
train
function
def OnePeriodSun(constant,delta,slope,slopedir,lat): # Initialize function sunrise,sunset = SunHours(delta,slope,slopedir,lat) # Finally calculate resulting values Vals = IntegrateSlope(constant,sunrise,sunset,delta,slope,slopedir,lat) return(Vals)
def OnePeriodSun(constant,delta,slope,slopedir,lat): # Initialize function
sunrise,sunset = SunHours(delta,slope,slopedir,lat) # Finally calculate resulting values Vals = IntegrateSlope(constant,sunrise,sunset,delta,slope,slopedir,lat) return(Vals)
sunlight during the day SetFinal[SetFinal <= RiseFinal] = 0 RiseFinal[SetFinal <= RiseFinal] = 0 return(RiseFinal,SetFinal) def OnePeriodSun(constant,delta,slope,slopedir,lat): # Initialize function
64
64
78
22
42
ElgaSalvadore/watools
Products/ETref/SlopeInfluence_ETref.py
Python
OnePeriodSun
OnePeriodSun
247
254
247
248
33e2f686b162871fd5da866709b3bb545637e9de
bigcode/the-stack
train
983ea153cf4a86098b386428
train
function
def SlopeInfluence(DEMmap,latitude,longitude,day): ''' This function corrects the solar radiation for the sloping terrain. All the formulas are based on Allen (2006) DEMmap -- path to the DEM map latitude -- numpy array with the latitude longitude -- numpy array with the longitude day --...
def SlopeInfluence(DEMmap,latitude,longitude,day):
''' This function corrects the solar radiation for the sloping terrain. All the formulas are based on Allen (2006) DEMmap -- path to the DEM map latitude -- numpy array with the latitude longitude -- numpy array with the longitude day -- Day of the year ''' # This model calculate...
# -*- coding: utf-8 -*- ''' Authors: Bert Coerver, Gert Mulder, Tim Hessels UNESCO-IHE 2016 Contact: b.coerver@unesco-ihe.org t.hessels@unesco-ihe.org Repository: https://github.com/wateraccounting/wa Module: Products/ETref ''' from __future__ import division # import general python modules import num...
111
256
1,932
16
94
ElgaSalvadore/watools
Products/ETref/SlopeInfluence_ETref.py
Python
SlopeInfluence
SlopeInfluence
14
152
14
15
52166626f990110d996c3a506376264890046fe4
bigcode/the-stack
train
f0730f8c72c896d93d6fa8f4
train
function
def AngleHorizontal(delta,lat,time): angle = np.sin(delta)*np.sin(lat)+np.cos(delta)*np.cos(lat)*np.cos(time) return(angle)
def AngleHorizontal(delta,lat,time):
angle = np.sin(delta)*np.sin(lat)+np.cos(delta)*np.cos(lat)*np.cos(time) return(angle)
ir) c = np.cos(delta)*np.sin(slope)*np.sin(slopedir) return(a,b,c) def AngleSlope(a,b,c,time): angle = -a + b*np.cos(time) + c*np.sin(time) return(angle) def AngleHorizontal(delta,lat,time):
63
64
35
8
55
ElgaSalvadore/watools
Products/ETref/SlopeInfluence_ETref.py
Python
AngleHorizontal
AngleHorizontal
327
329
327
327
0b5f5eb4ca7ba0687a0937c7bd612b665efcaadf
bigcode/the-stack
train
0323454637311a223020651b
train
function
def spanify(f): """A decorator which attaches span information to the value returned by calling `f`. Intended for use with the below AST visiting methods. The idea is that after we do the work of constructing the AST we attach Span information. """ def _wrapper(*args, **kwargs)...
def spanify(f):
"""A decorator which attaches span information to the value returned by calling `f`. Intended for use with the below AST visiting methods. The idea is that after we do the work of constructing the AST we attach Span information. """ def _wrapper(*args, **kwargs): # Assu...
opes, name): # type: (Scopes[T], str) -> Optional[T] """Look up `name` in `scopes`.""" for scope in scopes: for key, val in scope: if key == name: return val return None def spanify(f):
64
64
164
5
58
mostafaelhoushi/tvm
python/tvm/relay/_parser.py
Python
spanify
spanify
83
102
83
83
17bcf65e47d9ddeaee47e0a90d83efc2dadf244b
bigcode/the-stack
train
e66b670725a701354b56b11f
train
function
def fromtext(data, source_name=None): # type: (str, str) -> Union[expr.Expr, module.Module] """Parse a Relay program.""" if data == "": raise ParseError("Cannot parse the empty string.") global __source_name_counter__ if source_name is None: source_name = "source_file{0}".format(__...
def fromtext(data, source_name=None): # type: (str, str) -> Union[expr.Expr, module.Module]
"""Parse a Relay program.""" if data == "": raise ParseError("Cannot parse the empty string.") global __source_name_counter__ if source_name is None: source_name = "source_file{0}".format(__source_name_counter__) if isinstance(source_name, str): source_name = SourceName(so...
Stream(data) lexer = RelayLexer(input_stream) token_stream = CommonTokenStream(lexer) return RelayParser(token_stream) __source_name_counter__ = 0 def fromtext(data, source_name=None): # type: (str, str) -> Union[expr.Expr, module.Module]
64
64
119
27
36
mostafaelhoushi/tvm
python/tvm/relay/_parser.py
Python
fromtext
fromtext
512
527
512
513
c989ff17ec429dd10e718284b050508a012852d4
bigcode/the-stack
train
d9ec493c0cc7031389d649a9
train
function
def make_parser(data): # type: (str) -> RelayParser """Construct a RelayParser a given data stream.""" input_stream = InputStream(data) lexer = RelayLexer(input_stream) token_stream = CommonTokenStream(lexer) return RelayParser(token_stream)
def make_parser(data): # type: (str) -> RelayParser
"""Construct a RelayParser a given data stream.""" input_stream = InputStream(data) lexer = RelayLexer(input_stream) token_stream = CommonTokenStream(lexer) return RelayParser(token_stream)
TypeContext) -> ty.FuncType types = self.visit_list(ctx.type_()) arg_types = types[:-1] ret_type = types[-1] return ty.FuncType(arg_types, ret_type, [], None) def make_parser(data): # type: (str) -> RelayParser
64
64
60
16
48
mostafaelhoushi/tvm
python/tvm/relay/_parser.py
Python
make_parser
make_parser
502
508
502
503
c5408d94b9ac8ce2aac33268364c319e45ba976b
bigcode/the-stack
train
453146d2361de11c7d5eb530
train
class
class ParseError(Exception): """Exception type for parse errors.""" def __init__(self, message): # type: (str) -> None super(ParseError, self).__init__() self.message = message
class ParseError(Exception):
"""Exception type for parse errors.""" def __init__(self, message): # type: (str) -> None super(ParseError, self).__init__() self.message = message
from typing import TypeVar, Deque, Tuple, Optional, Union, NamedTuple, List, Callable, Any, Dict import tvm from . import module from .base import Span, SourceName from . import expr from . import ty from . import op class ParseError(Exception):
64
64
47
5
58
mostafaelhoushi/tvm
python/tvm/relay/_parser.py
Python
ParseError
ParseError
20
26
20
20
ce1c7f6d4c0b61be5c068311975d438542ca263d
bigcode/the-stack
train
0c7c680d17553b7defb2c9a4
train
class
class ParseTreeToRelayIR(RelayVisitor): """Parse Relay text format into Relay IR.""" def __init__(self, source_name): # type: (str) -> None self.source_name = source_name self.module = module.Module({}) # type: module.Module # Adding an empty scope allows naked lets without p...
class ParseTreeToRelayIR(RelayVisitor):
"""Parse Relay text format into Relay IR.""" def __init__(self, source_name): # type: (str) -> None self.source_name = source_name self.module = module.Module({}) # type: module.Module # Adding an empty scope allows naked lets without pain. self.var_scopes = deque([de...
str) -> Optional[T] """Look up `name` in `scopes`.""" for scope in scopes: for key, val in scope: if key == name: return val return None def spanify(f): """A decorator which attaches span information to the value returned by calling `f`. Intended for...
256
256
3,131
10
245
mostafaelhoushi/tvm
python/tvm/relay/_parser.py
Python
ParseTreeToRelayIR
ParseTreeToRelayIR
106
500
106
106
64c10b1cca6dc7847c3376f105934e46332d33a2
bigcode/the-stack
train
0bc3ddfa16accee56aac0459
train
function
def lookup(scopes, name): # type: (Scopes[T], str) -> Optional[T] """Look up `name` in `scopes`.""" for scope in scopes: for key, val in scope: if key == name: return val return None
def lookup(scopes, name): # type: (Scopes[T], str) -> Optional[T]
"""Look up `name` in `scopes`.""" for scope in scopes: for key, val in scope: if key == name: return val return None
[ "int", "uint", "float", "bool", ] T = TypeVar("T") Scope = Deque[Tuple[str, T]] Scopes = Deque[Scope[T]] def lookup(scopes, name): # type: (Scopes[T], str) -> Optional[T]
64
64
62
21
43
mostafaelhoushi/tvm
python/tvm/relay/_parser.py
Python
lookup
lookup
73
81
73
74
21bfe28fc8028d48a0f50438f45b22764e12e19e
bigcode/the-stack
train
754c7e18ad8e0dd429b37ebc
train
function
def ogr_ods_4(): drv = ogr.GetDriverByName('ODS') if drv is None: return 'skip' import test_cli_utilities if test_cli_utilities.get_test_ogrsf_path() is None: return 'skip' ret = gdaltest.runexternal(test_cli_utilities.get_test_ogrsf_path() + ' -ro data/test.ods') if ret.find...
def ogr_ods_4():
drv = ogr.GetDriverByName('ODS') if drv is None: return 'skip' import test_cli_utilities if test_cli_utilities.get_test_ogrsf_path() is None: return 'skip' ret = gdaltest.runexternal(test_cli_utilities.get_test_ogrsf_path() + ' -ro data/test.ods') if ret.find('INFO') == -1 or ...
n(1).GetType() != ogr.OFTString: gdaltest.post_reason('fail') return 'fail' gdal.SetConfigOption('OGR_ODS_FIELD_TYPES', None) return 'success' ############################################################################### # Run test_ogrsf def ogr_ods_4():
64
64
121
7
56
chambbj/gdal
autotest/ogr/ogr_ods.py
Python
ogr_ods_4
ogr_ods_4
292
308
292
293
0df86cbaf5bc7b11e8b3b355c2aea09c86bb28b8
bigcode/the-stack
train
ba83b8ee464383962ba370e8
train
function
def ogr_ods_kspread_1(): drv = ogr.GetDriverByName('ODS') if drv is None: return 'skip' if drv.TestCapability("foo") != 0: gdaltest.post_reason('fail') return 'fail' ds = ogr.Open('data/test_kspread.ods') if ds is None: gdaltest.post_reason('cannot open dataset') ...
def ogr_ods_kspread_1():
drv = ogr.GetDriverByName('ODS') if drv is None: return 'skip' if drv.TestCapability("foo") != 0: gdaltest.post_reason('fail') return 'fail' ds = ogr.Open('data/test_kspread.ods') if ds is None: gdaltest.post_reason('cannot open dataset') return 'fail' ...
'2012/01/22' or \ feat.GetFieldAsString(5) != '2012/01/22 18:49:00': gdaltest.post_reason('fail') feat.DumpReadable() return 'fail' feat = lyr.GetNextFeature() if feat.IsFieldSet(2): gdaltest.post_reason('fail') feat.DumpReadable() return 'fail' retu...
213
213
711
9
203
chambbj/gdal
autotest/ogr/ogr_ods.py
Python
ogr_ods_kspread_1
ogr_ods_kspread_1
150
242
150
151
5770afd49296923ae2cc2d6bb4b8757d6c78b8dc
bigcode/the-stack
train
e267c30bb7288f2f24b70770
train
function
def ogr_ods_3(): drv = ogr.GetDriverByName('ODS') if drv is None: return 'skip' gdal.SetConfigOption('OGR_ODS_FIELD_TYPES', 'STRING') ds = ogr.Open('data/test.ods') lyr = ds.GetLayerByName('Feuille7') if lyr.GetLayerDefn().GetFieldDefn(1).GetType() != ogr.OFTString: gdaltest....
def ogr_ods_3():
drv = ogr.GetDriverByName('ODS') if drv is None: return 'skip' gdal.SetConfigOption('OGR_ODS_FIELD_TYPES', 'STRING') ds = ogr.Open('data/test.ods') lyr = ds.GetLayerByName('Feuille7') if lyr.GetLayerDefn().GetFieldDefn(1).GetType() != ogr.OFTString: gdaltest.post_reason('fail'...
3: gdaltest.post_reason('fail') print(lyr.GetFeatureCount()) return 'fail' gdal.SetConfigOption('OGR_ODS_HEADERS', None) return 'success' ############################################################################### # Test OGR_ODS_FIELD_TYPES = STRING def ogr_ods_3():
64
64
127
7
56
chambbj/gdal
autotest/ogr/ogr_ods.py
Python
ogr_ods_3
ogr_ods_3
270
287
270
271
51f79bee032676b24b1660de16d499f10ee9de0e
bigcode/the-stack
train
da87e818e0769059f4d49997
train
function
def ogr_ods_check(ds, variant = False): if ds.TestCapability("foo") != 0: gdaltest.post_reason('fail') return 'fail' if ds.GetLayerCount() != 8: gdaltest.post_reason('bad layer count') return 'fail' lyr = ds.GetLayer(0) if lyr.GetName() != 'Feuille1': gdaltest....
def ogr_ods_check(ds, variant = False):
if ds.TestCapability("foo") != 0: gdaltest.post_reason('fail') return 'fail' if ds.GetLayerCount() != 8: gdaltest.post_reason('bad layer count') return 'fail' lyr = ds.GetLayer(0) if lyr.GetName() != 'Feuille1': gdaltest.post_reason('bad layer name') ret...
# The above copyright notice and this permission notice shall be included # in all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS # OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE...
188
188
627
11
176
chambbj/gdal
autotest/ogr/ogr_ods.py
Python
ogr_ods_check
ogr_ods_check
46
125
46
47
0fbf7c71e4400f972a43b64b318c43cfb0e2cf6f
bigcode/the-stack
train
7d0c448109cc5616afbd5664
train
function
def ogr_ods_6(): drv = ogr.GetDriverByName('ODS') if drv is None: return 'skip' src_ds = ogr.Open('ODS:data/content_formulas.xml') out_ds = ogr.GetDriverByName('CSV').CopyDataSource(src_ds, '/vsimem/content_formulas.csv') out_ds = None src_ds = None fp = gdal.VSIFOpenL('/vsimem/co...
def ogr_ods_6():
drv = ogr.GetDriverByName('ODS') if drv is None: return 'skip' src_ds = ogr.Open('ODS:data/content_formulas.xml') out_ds = ogr.GetDriverByName('CSV').CopyDataSource(src_ds, '/vsimem/content_formulas.csv') out_ds = None src_ds = None fp = gdal.VSIFOpenL('/vsimem/content_formulas.csv...
ret.find('INFO') == -1 or ret.find('ERROR') != -1: print(ret) return 'fail' return 'success' ############################################################################### # Test write support def ogr_ods_5(): drv = ogr.GetDriverByName('ODS') if drv is None: return 'skip' ...
184
184
616
7
176
chambbj/gdal
autotest/ogr/ogr_ods.py
Python
ogr_ods_6
ogr_ods_6
336
373
336
337
81560da90a13d08819239c75f2454ca1c0b20914
bigcode/the-stack
train
1ca31819a67da30607c8d9c1
train
function
def ogr_ods_1(): drv = ogr.GetDriverByName('ODS') if drv is None: return 'skip' if drv.TestCapability("foo") != 0: gdaltest.post_reason('fail') return 'fail' ds = ogr.Open('data/test.ods') if ds is None: gdaltest.post_reason('cannot open dataset') return 'f...
def ogr_ods_1():
drv = ogr.GetDriverByName('ODS') if drv is None: return 'skip' if drv.TestCapability("foo") != 0: gdaltest.post_reason('fail') return 'fail' ds = ogr.Open('data/test.ods') if ds is None: gdaltest.post_reason('cannot open dataset') return 'fail' return o...
.DumpReadable() return 'fail' feat = lyr.GetNextFeature() if feat.IsFieldSet(2): gdaltest.post_reason('fail') feat.DumpReadable() return 'fail' return 'success' ############################################################################### # Basic tests def ogr_ods_1():
64
64
96
7
56
chambbj/gdal
autotest/ogr/ogr_ods.py
Python
ogr_ods_1
ogr_ods_1
130
145
130
131
4b9b5f2111a1203ebc417ab7bc33fb1eeaef475e
bigcode/the-stack
train
90dbba1ee5310cc48f85fb26
train
function
def ogr_ods_2(): drv = ogr.GetDriverByName('ODS') if drv is None: return 'skip' gdal.SetConfigOption('OGR_ODS_HEADERS', 'DISABLE') ds = ogr.Open('data/test.ods') lyr = ds.GetLayerByName('Feuille7') if lyr.GetFeatureCount() != 3: gdaltest.post_reason('fail') print(lyr....
def ogr_ods_2():
drv = ogr.GetDriverByName('ODS') if drv is None: return 'skip' gdal.SetConfigOption('OGR_ODS_HEADERS', 'DISABLE') ds = ogr.Open('data/test.ods') lyr = ds.GetLayerByName('Feuille7') if lyr.GetFeatureCount() != 3: gdaltest.post_reason('fail') print(lyr.GetFeatureCount())...
fail' feat = lyr.GetNextFeature() if feat.IsFieldSet(2): gdaltest.post_reason('fail') feat.DumpReadable() return 'fail' return 'success' ############################################################################### # Test OGR_ODS_HEADERS = DISABLE def ogr_ods_2():
64
64
122
7
56
chambbj/gdal
autotest/ogr/ogr_ods.py
Python
ogr_ods_2
ogr_ods_2
247
265
247
248
2309f6ac82153e1d47d2dad04bc0e6f9bb72e665
bigcode/the-stack
train
cc254d15f834b7a304ceb155
train
function
def ogr_ods_5(): drv = ogr.GetDriverByName('ODS') if drv is None: return 'skip' import test_cli_utilities if test_cli_utilities.get_ogr2ogr_path() is None: return 'skip' gdaltest.runexternal(test_cli_utilities.get_ogr2ogr_path() + ' -f ODS tmp/test.ods data/test.ods') ds = og...
def ogr_ods_5():
drv = ogr.GetDriverByName('ODS') if drv is None: return 'skip' import test_cli_utilities if test_cli_utilities.get_ogr2ogr_path() is None: return 'skip' gdaltest.runexternal(test_cli_utilities.get_ogr2ogr_path() + ' -f ODS tmp/test.ods data/test.ods') ds = ogr.Open('tmp/test.o...
_test_ogrsf_path() + ' -ro data/test.ods') if ret.find('INFO') == -1 or ret.find('ERROR') != -1: print(ret) return 'fail' return 'success' ############################################################################### # Test write support def ogr_ods_5():
64
64
131
7
56
chambbj/gdal
autotest/ogr/ogr_ods.py
Python
ogr_ods_5
ogr_ods_5
313
331
313
314
46ae3e423034243eddda7bddee6c36d68d58f6a3
bigcode/the-stack
train
963c54317021ec877e571da3
train
function
def ogr_ods_7(): drv = ogr.GetDriverByName('ODS') if drv is None: return 'skip' try: os.unlink('tmp/ogr_ods_7.ods') except: pass shutil.copy('data/test.ods', 'tmp/ogr_ods_7.ods') ds = ogr.Open('tmp/ogr_ods_7.ods', update = 1) lyr = ds.GetLayerByName('Feuille7') ...
def ogr_ods_7():
drv = ogr.GetDriverByName('ODS') if drv is None: return 'skip' try: os.unlink('tmp/ogr_ods_7.ods') except: pass shutil.copy('data/test.ods', 'tmp/ogr_ods_7.ods') ds = ogr.Open('tmp/ogr_ods_7.ods', update = 1) lyr = ds.GetLayerByName('Feuille7') feat = lyr.GetNex...
,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 """.split() if res != expected_res: gdaltest.post_reason('did not get expected result') print(res) return 'fail' return 'success' ############################################################################### # Test update support def ogr_od...
95
95
318
7
87
chambbj/gdal
autotest/ogr/ogr_ods.py
Python
ogr_ods_7
ogr_ods_7
378
418
378
379
66f782e50cec867365d34277e3b8724bb6325271
bigcode/the-stack
train
a493133dd6db8347d5c7480d
train
function
def prepare_arguments(sources, destination, force, rename, onyo_root): problem_str = "" list_of_commands = [] list_of_destinations = [] assets = get_list_of_assets(onyo_root) for source in sources: # set all paths source_filename = os.path.join(onyo_root, source) destination_...
def prepare_arguments(sources, destination, force, rename, onyo_root):
problem_str = "" list_of_commands = [] list_of_destinations = [] assets = get_list_of_assets(onyo_root) for source in sources: # set all paths source_filename = os.path.join(onyo_root, source) destination_filename = os.path.join(onyo_root, destination) if not os.path....
_root + " mv -f \"" + source + "\" \"" + destination + "\"" else: return (os.path.join(onyo_root, destination) + " already exists.") return "git -C " + onyo_root + " mv \"" + source + "\" \"" + destination + "\"" def build_commit_cmd(list_of_commands, onyo_root): return ["git -C " + onyo_r...
125
126
422
16
109
TobiasKadelka/onyo
onyo/commands/mv.py
Python
prepare_arguments
prepare_arguments
33
67
33
33
1e1667c029cab60838d75d916c70a5dab1bb4282
bigcode/the-stack
train
8d1fce1b23b08f753e5dc7cb
train
function
def build_mv_cmd(onyo_root, source, destination, force, rename): if (os.path.basename(destination) != os.path.basename(source) and not (rename or os.path.isdir(source))): return (os.path.basename(source) + " -> " + os.path.basename(destination) + " Assets can't be renamed without --rename.") ...
def build_mv_cmd(onyo_root, source, destination, force, rename):
if (os.path.basename(destination) != os.path.basename(source) and not (rename or os.path.isdir(source))): return (os.path.basename(source) + " -> " + os.path.basename(destination) + " Assets can't be renamed without --rename.") if os.path.isfile(os.path.join(onyo_root, destination)): ...
import os import sys from onyo.utils import ( get_list_of_assets, run_cmd ) from onyo.commands.fsck import fsck logging.basicConfig() logger = logging.getLogger('onyo') def build_mv_cmd(onyo_root, source, destination, force, rename):
64
64
164
17
47
TobiasKadelka/onyo
onyo/commands/mv.py
Python
build_mv_cmd
build_mv_cmd
17
26
17
17
8a78d7a4d9de3871fbb63a1fa696441bc88d3392
bigcode/the-stack
train
afba3562757e402af0892931
train
function
def mv(args, onyo_root): # run onyo fsck fsck(args, onyo_root, quiet=True) # check and set paths list_of_commands = prepare_arguments(args.source, args.destination, args.force, args.rename, onyo_root) # run list of commands, afterwards commit for command in list_of_commands: run_cmd(comm...
def mv(args, onyo_root): # run onyo fsck
fsck(args, onyo_root, quiet=True) # check and set paths list_of_commands = prepare_arguments(args.source, args.destination, args.force, args.rename, onyo_root) # run list of commands, afterwards commit for command in list_of_commands: run_cmd(command) [commit_cmd, commit_msg] = build_com...
else: problem_str = problem_str + "\n" + current_cmd if problem_str != "": logger.error(problem_str + "\nNo folders or assets moved.") sys.exit(1) return list_of_commands def mv(args, onyo_root): # run onyo fsck
64
64
110
16
47
TobiasKadelka/onyo
onyo/commands/mv.py
Python
mv
mv
70
79
70
71
b981aec2fb78fa38ec6cdc31de0abceab687eec3
bigcode/the-stack
train
5d35c5afc3bdafd662663a4a
train
function
def build_commit_cmd(list_of_commands, onyo_root): return ["git -C " + onyo_root + " commit -m", "move asset(s).\n\n" + "\n".join(list_of_commands)]
def build_commit_cmd(list_of_commands, onyo_root):
return ["git -C " + onyo_root + " commit -m", "move asset(s).\n\n" + "\n".join(list_of_commands)]
\"" + destination + "\"" else: return (os.path.join(onyo_root, destination) + " already exists.") return "git -C " + onyo_root + " mv \"" + source + "\" \"" + destination + "\"" def build_commit_cmd(list_of_commands, onyo_root):
64
64
46
12
51
TobiasKadelka/onyo
onyo/commands/mv.py
Python
build_commit_cmd
build_commit_cmd
29
30
29
29
3f9b3b8b1182c4213e0fff2de5f19b45c94f0220
bigcode/the-stack
train
ac2444f0837cc1c5f80774f9
train
class
class V2AlphaRestTestCase(unittest.TestCase): # Consumer must define # USER_ID = <some string> # TO_REGISTER = [<list of REST servlets to register>] @defer.inlineCallbacks def setUp(self): self.mock_resource = MockHttpResource(prefix=PATH_PREFIX) hs = yield setup_test_homeserve...
class V2AlphaRestTestCase(unittest.TestCase): # Consumer must define # USER_ID = <some string> # TO_REGISTER = [<list of REST servlets to register>] @defer.inlineCallbacks
def setUp(self): self.mock_resource = MockHttpResource(prefix=PATH_PREFIX) hs = yield setup_test_homeserver( datastore=self.make_datastore_mock(), http_client=None, resource_for_client=self.mock_resource, resource_for_federation=self.mock_resource, ...
UserID from twisted.internet import defer PATH_PREFIX = "/_matrix/client/v2_alpha" class V2AlphaRestTestCase(unittest.TestCase): # Consumer must define # USER_ID = <some string> # TO_REGISTER = [<list of REST servlets to register>] @defer.inlineCallbacks
71
71
238
51
20
rzr/synapse
tests/rest/client/v2_alpha/__init__.py
Python
V2AlphaRestTestCase
V2AlphaRestTestCase
30
63
30
35
7aab1288054c8e5cfdac2f4ca94eefaeeb6b2ad1
bigcode/the-stack
train
3ea048f562ff9707141b523a
train
function
@app.get("/health", response_model=HealthCheckOutput) def health_check(): return {"health": "True"}
@app.get("/health", response_model=HealthCheckOutput) def health_check():
return {"health": "True"}
fastapi.responses import JSONResponse from app.bidding_strategy import ClickPerCost from app.get_ads import GetAdsFromPostgres import psycopg2 log = get_logger(logger_name="main") app = FastAPI() @app.get("/health", response_model=HealthCheckOutput) def health_check():
64
64
24
16
48
raywu60kg/mini-demand-side-platform
src/bidding-server/app/main.py
Python
health_check
health_check
15
17
15
16
7b81b883a162143becf038409e84485ddfc245f0
bigcode/the-stack
train
cd7c078f1513c7e47e58ae46
train
function
@app.post("/bw_dsp") # @app.post("/bw_dsp", response_model=RequestOutput) def handle_bid_request(bid_request: RequestInput): # get ads try: if get_ads_method == "postgres": postgres_client = psycopg2.connect( dbname=postgres_server_info["dbname"], user=postgr...
@app.post("/bw_dsp") # @app.post("/bw_dsp", response_model=RequestOutput) def handle_bid_request(bid_request: RequestInput): # get ads
try: if get_ads_method == "postgres": postgres_client = psycopg2.connect( dbname=postgres_server_info["dbname"], user=postgres_server_info["user"], password=postgres_server_info["password"], host=postgres_server_info["host"], ...
ClickPerCost from app.get_ads import GetAdsFromPostgres import psycopg2 log = get_logger(logger_name="main") app = FastAPI() @app.get("/health", response_model=HealthCheckOutput) def health_check(): return {"health": "True"} @app.post("/bw_dsp") # @app.post("/bw_dsp", response_model=RequestOutput) def handle_b...
96
97
325
37
59
raywu60kg/mini-demand-side-platform
src/bidding-server/app/main.py
Python
handle_bid_request
handle_bid_request
20
57
20
24
cfb03fbf0e0014b971c98eee291535bddbb82b3c
bigcode/the-stack
train
dedeab959adcf5670aeab8f4
train
class
class intf_isis(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module brocade-common-def - based on the path /routing-system/interface/ve/intf-isis. Each member element of the container is represented as a class variable - with a specific YANG type. """ __slot...
class intf_isis(PybindBase):
""" This class was auto-generated by the PythonClass plugin for PYANG from YANG module brocade-common-def - based on the path /routing-system/interface/ve/intf-isis. Each member element of the container is represented as a class variable - with a specific YANG type. """ __slots__ = ('_pybind_generated_by'...
from operator import attrgetter import pyangbind.lib.xpathhelper as xpathhelper from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType, RestrictedClassType, TypedListType from pyangbind.lib.yangtypes import YANGBool, YANGListType, YANGDynClass, ReferenceType from pyangbind.lib.base import PybindBase from d...
105
256
1,503
9
95
extremenetworks/pybind
pybind/slxos/v17s_1_02/routing_system/interface/ve/intf_isis/__init__.py
Python
intf_isis
intf_isis
11
121
11
11
c8c388ef604912d8839506c0573e66006ea6d445
bigcode/the-stack
train
a7925ea195fe20f084b6eadc
train
class
class LinkedInBackend(BaseSocialBackend): """ Backend to handle login with LinkedIn. """ model = LinkedInOAuthProfile
class LinkedInBackend(BaseSocialBackend):
""" Backend to handle login with LinkedIn. """ model = LinkedInOAuthProfile
from .models import LinkedInOAuthProfile from ..core.backends import BaseSocialBackend class LinkedInBackend(BaseSocialBackend):
26
64
29
8
17
gGonz/django-socialnetworks
socialnetworks/linkedin/backends.py
Python
LinkedInBackend
LinkedInBackend
5
9
5
5
55e3a48e106203636e706dc0e96a2fc3e0c6ca3a
bigcode/the-stack
train
ec9967903f226de103fd92a4
train
function
def handle_pagination(url: str, data: list, response_headers: dict, http_fields: dict, request_headers=None) -> tuple: """Handles retrieving the remaining data for a request that is paginated :param url: the url to query :type url: str :param data: the data from the first request :type data: list ...
def handle_pagination(url: str, data: list, response_headers: dict, http_fields: dict, request_headers=None) -> tuple:
"""Handles retrieving the remaining data for a request that is paginated :param url: the url to query :type url: str :param data: the data from the first request :type data: list :param response_headers: the HTTP response headers containing the pagination links :type response_headers: dict ...
) except json.decoder.JSONDecodeError: data_dict = {'message': decoded_data} if response.status < 200 or response.status >= 300: print('Request for ' + url + " failed. Response data:") print(decoded_data) return False, data_dict, response.headers return True, data_dict, res...
102
102
341
29
72
awslabs/aws-repository-status-monitor
RepositoryStatusMonitor/lambda_dir/http_handler.py
Python
handle_pagination
handle_pagination
40
76
40
40
a7998bba5b3282043f2ff9bbdb15eccad124d8cd
bigcode/the-stack
train
46aa457f9a83dd67463a6fc6
train
function
def request_handler(url: str, method='GET', headers=None, http_fields=None, post_body=None) -> tuple: """Performs an HTTP request to the specified URL and gracefully handles a failed request :param url: the url to query :type url: str :param method: the HTTP method to perform (default is "GET") :ty...
def request_handler(url: str, method='GET', headers=None, http_fields=None, post_body=None) -> tuple:
"""Performs an HTTP request to the specified URL and gracefully handles a failed request :param url: the url to query :type url: str :param method: the HTTP method to perform (default is "GET") :type method: Optional[str] :param headers: the HTTP headers to send with the request :type heade...
import json import re import urllib3 http = urllib3.PoolManager() def request_handler(url: str, method='GET', headers=None, http_fields=None, post_body=None) -> tuple:
43
91
306
25
18
awslabs/aws-repository-status-monitor
RepositoryStatusMonitor/lambda_dir/http_handler.py
Python
request_handler
request_handler
9
37
9
9
c66ef952a9fea18fbaa88874beacb0b306e58dc0
bigcode/the-stack
train
f9bbbddffab0dec93d50e9fc
train
function
def test_reading_config(temp_dir): (temp_dir / "setup.cfg").write_text(CONFIG1) config = Config.read() assert config.fragment_directory == "changelog.d" assert config.output_file == "README.md" assert config.categories == ["New", "Different", "Gone", "Bad"]
def test_reading_config(temp_dir):
(temp_dir / "setup.cfg").write_text(CONFIG1) config = Config.read() assert config.fragment_directory == "changelog.d" assert config.output_file == "README.md" assert config.categories == ["New", "Different", "Gone", "Bad"]
== "=-" assert config.md_header_level == "1" assert "{{ date.strftime('%Y-%m-%d') }}" in config.entry_title_template assert config.main_branches == ["master", "main", "develop"] assert config.version == "" def test_reading_config(temp_dir):
63
64
66
8
55
kurtmckee/scriv
tests/test_config.py
Python
test_reading_config
test_reading_config
97
102
97
97
ab27881af75d546b4c2514663e9a593826a1f23f
bigcode/the-stack
train
46c8ffa0b696faa4263b5a36
train
function
def test_defaults(temp_dir): # No configuration files anywhere, just get all the defaults. config = Config.read() assert config.fragment_directory == "changelog.d" assert config.format == "rst" assert config.new_fragment_template.startswith( ".. A new scriv changelog fragment" ) asse...
def test_defaults(temp_dir): # No configuration files anywhere, just get all the defaults.
config = Config.read() assert config.fragment_directory == "changelog.d" assert config.format == "rst" assert config.new_fragment_template.startswith( ".. A new scriv changelog fragment" ) assert config.categories == [ "Removed", "Added", "Changed", "Depre...
+ """ [tool.scriv] output_file = "README.md" categories = [ "New", "Different", "Gone", "Bad", ] ["more stuff"] value = 17 """ ) def test_defaults(temp_dir): # No configuration files anywhere, just get all the defaults.
64
64
184
19
45
kurtmckee/scriv
tests/test_config.py
Python
test_defaults
test_defaults
72
94
72
73
40993fbdcb17ac913d8f517c5b2ad3db3ac7b296
bigcode/the-stack
train
6aee064e384b60c61fbaabb0
train
function
def test_no_such_template(): # If you specify a template name, and it doesn't exist, an error will # be raised. with pytest.raises(Exception, match="No such file: changelog.d/foo.j2"): Config(new_fragment_template="file: foo.j2")
def test_no_such_template(): # If you specify a template name, and it doesn't exist, an error will # be raised.
with pytest.raises(Exception, match="No such file: changelog.d/foo.j2"): Config(new_fragment_template="file: foo.j2")
Error, match=r"'format' must be in \['rst', 'md'\] \(got 'xyzzy'\)" ): Config(format="xyzzy") def test_no_such_template(): # If you specify a template name, and it doesn't exist, an error will # be raised.
64
64
61
30
34
kurtmckee/scriv
tests/test_config.py
Python
test_no_such_template
test_no_such_template
147
151
147
149
eb2d0857cac8ed0019e42f2c6d0a9e5b6e54630b
bigcode/the-stack
train
d4189ed9125e1b9e578626e7
train
function
def test_reading_config_from_directory(changelog_d): # The settings file can be changelog.d/scriv.ini . (changelog_d / "scriv.ini").write_text(CONFIG1) config = Config.read() assert config.categories == ["New", "Different", "Gone", "Bad"]
def test_reading_config_from_directory(changelog_d): # The settings file can be changelog.d/scriv.ini .
(changelog_d / "scriv.ini").write_text(CONFIG1) config = Config.read() assert config.categories == ["New", "Different", "Gone", "Bad"]
): (temp_dir / "tox.ini").write_text(CONFIG2) config = Config.read() assert config.categories == ["New", "Different", "Gone", "Bad"] def test_reading_config_from_directory(changelog_d): # The settings file can be changelog.d/scriv.ini .
63
64
64
25
38
kurtmckee/scriv
tests/test_config.py
Python
test_reading_config_from_directory
test_reading_config_from_directory
111
115
111
112
3f4a16a89c38f11b98887386043d9b0d2cb0108f
bigcode/the-stack
train
64b05514304f1a01070f3e58
train
function
def test_override_default_name(changelog_d): # You can define a file named new_fragment.rst.j2, and it will be read # as the template. (changelog_d / "new_fragment.rst.j2").write_text("Hello there!") fmt = Config().new_fragment_template assert fmt == "Hello there!"
def test_override_default_name(changelog_d): # You can define a file named new_fragment.rst.j2, and it will be read # as the template.
(changelog_d / "new_fragment.rst.j2").write_text("Hello there!") fmt = Config().new_fragment_template assert fmt == "Hello there!"
.raises(Exception, match="No such file: changelog.d/foo.j2"): Config(new_fragment_template="file: foo.j2") def test_override_default_name(changelog_d): # You can define a file named new_fragment.rst.j2, and it will be read # as the template.
64
64
73
36
28
kurtmckee/scriv
tests/test_config.py
Python
test_override_default_name
test_override_default_name
154
159
154
156
2de4a3e499ff576c37760c544cb238d70e944e0c
bigcode/the-stack
train
bc9f55764415b70c93fe3d02
train
function
def test_reading_config_list(temp_dir): (temp_dir / "tox.ini").write_text(CONFIG2) config = Config.read() assert config.categories == ["New", "Different", "Gone", "Bad"]
def test_reading_config_list(temp_dir):
(temp_dir / "tox.ini").write_text(CONFIG2) config = Config.read() assert config.categories == ["New", "Different", "Gone", "Bad"]
/ "setup.cfg").write_text(CONFIG1) config = Config.read() assert config.fragment_directory == "changelog.d" assert config.output_file == "README.md" assert config.categories == ["New", "Different", "Gone", "Bad"] def test_reading_config_list(temp_dir):
63
64
46
9
54
kurtmckee/scriv
tests/test_config.py
Python
test_reading_config_list
test_reading_config_list
105
108
105
105
5f5d415e4ac4b45afccd0ed8c5c7959e7f4cce6d
bigcode/the-stack
train
eb84d7c21ed1baf433677976
train
function
def test_reading_config_from_other_directory(temp_dir): # setup.cfg can set the fragment directory, and then scriv.ini will # be found there. (temp_dir / "scriv.d").mkdir() (temp_dir / "scriv.d" / "scriv.ini").write_text(CONFIG1) (temp_dir / "setup.cfg").write_text( "[tool.scriv]\nfragment_d...
def test_reading_config_from_other_directory(temp_dir): # setup.cfg can set the fragment directory, and then scriv.ini will # be found there.
(temp_dir / "scriv.d").mkdir() (temp_dir / "scriv.d" / "scriv.ini").write_text(CONFIG1) (temp_dir / "setup.cfg").write_text( "[tool.scriv]\nfragment_directory = scriv.d\n" ) config = Config.read() assert config.fragment_directory == "scriv.d" assert config.categories == ["New", "Diff...
").write_text(CONFIG1) config = Config.read() assert config.categories == ["New", "Different", "Gone", "Bad"] def test_reading_config_from_other_directory(temp_dir): # setup.cfg can set the fragment directory, and then scriv.ini will # be found there.
63
64
130
34
29
kurtmckee/scriv
tests/test_config.py
Python
test_reading_config_from_other_directory
test_reading_config_from_other_directory
118
128
118
120
52c0c3a414ca1f25b1a77ac65aa4c6e23337c108
bigcode/the-stack
train
8de94eb199e94ebad9d68be8
train
function
def test_custom_template(changelog_d): # You can define your own template with your own name. (changelog_d / "start_here.j2").write_text("Custom template.") fmt = Config( new_fragment_template="file: start_here.j2" ).new_fragment_template assert fmt == "Custom template."
def test_custom_template(changelog_d): # You can define your own template with your own name.
(changelog_d / "start_here.j2").write_text("Custom template.") fmt = Config( new_fragment_template="file: start_here.j2" ).new_fragment_template assert fmt == "Custom template."
= scriv.d\n" ) config = Config.read() assert config.fragment_directory == "scriv.d" assert config.categories == ["New", "Different", "Gone", "Bad"] def test_custom_template(changelog_d): # You can define your own template with your own name.
63
64
70
21
42
kurtmckee/scriv
tests/test_config.py
Python
test_custom_template
test_custom_template
131
137
131
132
7708f73d3e15b093a3077a52ec0ffdc735586b68
bigcode/the-stack
train
a987f7ca59c219be5191c1af
train
function
def test_literal_no_file(temp_dir): # What happens if the file for a literal doesn't exist? with pytest.raises( FileNotFoundError, match=r"No such file or directory: 'sub/foob.py'" ): Config(version="literal:sub/foob.py: __version__")
def test_literal_no_file(temp_dir): # What happens if the file for a literal doesn't exist?
with pytest.raises( FileNotFoundError, match=r"No such file or directory: 'sub/foob.py'" ): Config(version="literal:sub/foob.py: __version__")
= "12.34.56"\n""" ) text = Config(version="literal:sub/foob.py: __version__").version assert text == "12.34.56" def test_literal_no_file(temp_dir): # What happens if the file for a literal doesn't exist?
64
64
65
21
43
kurtmckee/scriv
tests/test_config.py
Python
test_literal_no_file
test_literal_no_file
179
184
179
180
0b6b69236832e5b5483d4e9bfffd8f0b91aa4820
bigcode/the-stack
train
e6cdc45c0322c3f556fd6745
train
function
def test_literal_reading(temp_dir): # Any setting can be read from a literal in a file. (temp_dir / "sub").mkdir() (temp_dir / "sub" / "foob.py").write_text( """# comment\n__version__ = "12.34.56"\n""" ) text = Config(version="literal:sub/foob.py: __version__").version assert text == "12...
def test_literal_reading(temp_dir): # Any setting can be read from a literal in a file.
(temp_dir / "sub").mkdir() (temp_dir / "sub" / "foob.py").write_text( """# comment\n__version__ = "12.34.56"\n""" ) text = Config(version="literal:sub/foob.py: __version__").version assert text == "12.34.56"
. (changelog_d / "hello.txt").write_text("Xyzzy") text = Config(output_file="file:hello.txt").output_file assert text == "Xyzzy" def test_literal_reading(temp_dir): # Any setting can be read from a literal in a file.
64
64
100
22
42
kurtmckee/scriv
tests/test_config.py
Python
test_literal_reading
test_literal_reading
169
176
169
170
1f460cb799b41febc9930b2e50790bbeba151277
bigcode/the-stack
train
a7e07a4c6613e572b9c2fb53
train
function
@pytest.mark.parametrize("chars", ["", "#", "#=-", "# ", " "]) def test_rst_chars_is_two_chars(chars): # rst_header_chars must be exactly two non-space characters. with pytest.raises(ValueError): Config(rst_header_chars=chars)
@pytest.mark.parametrize("chars", ["", "#", "#=-", "# ", " "]) def test_rst_chars_is_two_chars(chars): # rst_header_chars must be exactly two non-space characters.
with pytest.raises(ValueError): Config(rst_header_chars=chars)
/foob.py: version'", ): Config(version="literal:sub/foob.py: version") @pytest.mark.parametrize("chars", ["", "#", "#=-", "# ", " "]) def test_rst_chars_is_two_chars(chars): # rst_header_chars must be exactly two non-space characters.
64
64
57
41
23
kurtmckee/scriv
tests/test_config.py
Python
test_rst_chars_is_two_chars
test_rst_chars_is_two_chars
200
204
200
202
083412fb6b8df7c4e55a381650416c363550f1f2
bigcode/the-stack
train
605ea798cdfc811109063994
train
function
def test_file_reading(changelog_d): # Any setting can be read from a file, even where it doesn't make sense. (changelog_d / "hello.txt").write_text("Xyzzy") text = Config(output_file="file:hello.txt").output_file assert text == "Xyzzy"
def test_file_reading(changelog_d): # Any setting can be read from a file, even where it doesn't make sense.
(changelog_d / "hello.txt").write_text("Xyzzy") text = Config(output_file="file:hello.txt").output_file assert text == "Xyzzy"
(changelog_d / "new_fragment.rst.j2").write_text("Hello there!") fmt = Config().new_fragment_template assert fmt == "Hello there!" def test_file_reading(changelog_d): # Any setting can be read from a file, even where it doesn't make sense.
63
64
68
27
36
kurtmckee/scriv
tests/test_config.py
Python
test_file_reading
test_file_reading
162
166
162
163
97a72dad4792834da389befdeb37e95a40469aaa
bigcode/the-stack
train
3cd91252c19cb53dfb320c00
train
class
class TestTomlConfig: """ Tests of the TOML configuration support. """ def test_reading_toml_file(self, temp_dir): (temp_dir / "pyproject.toml").write_text(TOML_CONFIG) config = Config.read() assert config.categories == ["New", "Different", "Gone", "Bad"] def test_toml_with...
class TestTomlConfig:
""" Tests of the TOML configuration support. """ def test_reading_toml_file(self, temp_dir): (temp_dir / "pyproject.toml").write_text(TOML_CONFIG) config = Config.read() assert config.categories == ["New", "Different", "Gone", "Bad"] def test_toml_without_us(self, temp_dir)...
Exception, match=r"Couldn't find literal: 'literal:sub/foob.py: version'", ): Config(version="literal:sub/foob.py: version") @pytest.mark.parametrize("chars", ["", "#", "#=-", "# ", " "]) def test_rst_chars_is_two_chars(chars): # rst_header_chars must be exactly two non-space characters. ...
100
100
335
6
94
kurtmckee/scriv
tests/test_config.py
Python
TestTomlConfig
TestTomlConfig
207
244
207
207
cf15045560ef43c8ba312ea081e2bcf3685d410a
bigcode/the-stack
train
4933357cf678d54452bdd075
train
function
def test_unknown_format(): with pytest.raises( ValueError, match=r"'format' must be in \['rst', 'md'\] \(got 'xyzzy'\)" ): Config(format="xyzzy")
def test_unknown_format():
with pytest.raises( ValueError, match=r"'format' must be in \['rst', 'md'\] \(got 'xyzzy'\)" ): Config(format="xyzzy")
can define your own template with your own name. (changelog_d / "start_here.j2").write_text("Custom template.") fmt = Config( new_fragment_template="file: start_here.j2" ).new_fragment_template assert fmt == "Custom template." def test_unknown_format():
64
64
46
5
59
kurtmckee/scriv
tests/test_config.py
Python
test_unknown_format
test_unknown_format
140
144
140
140
846cee3079e24ef6c2eb568f033b5c8a15dfc224
bigcode/the-stack
train
82597f8bfe35c2594285925d
train
function
def test_literal_no_literal(temp_dir): # What happens if the literal we're looking for isn't there? (temp_dir / "sub").mkdir() (temp_dir / "sub" / "foob.py").write_text( """# comment\n__version__ = "12.34.56"\n""" ) with pytest.raises( Exception, match=r"Couldn't find literal...
def test_literal_no_literal(temp_dir): # What happens if the literal we're looking for isn't there?
(temp_dir / "sub").mkdir() (temp_dir / "sub" / "foob.py").write_text( """# comment\n__version__ = "12.34.56"\n""" ) with pytest.raises( Exception, match=r"Couldn't find literal: 'literal:sub/foob.py: version'", ): Config(version="literal:sub/foob.py: version")
with pytest.raises( FileNotFoundError, match=r"No such file or directory: 'sub/foob.py'" ): Config(version="literal:sub/foob.py: __version__") def test_literal_no_literal(temp_dir): # What happens if the literal we're looking for isn't there?
64
64
111
21
43
kurtmckee/scriv
tests/test_config.py
Python
test_literal_no_literal
test_literal_no_literal
187
197
187
188
0fea1e3871136b6749880a19b180a49d0a54238c
bigcode/the-stack
train
fb18203305081041a14e22c9
train
class
class GetFile(Processor): def __init__(self, input_dir="/tmp/input", schedule={'scheduling period': '2 sec'}): super(GetFile, self).__init__( 'GetFile', properties={ 'Input Directory': input_dir, }, schedule=schedule, auto_terminate...
class GetFile(Processor):
def __init__(self, input_dir="/tmp/input", schedule={'scheduling period': '2 sec'}): super(GetFile, self).__init__( 'GetFile', properties={ 'Input Directory': input_dir, }, schedule=schedule, auto_terminate=['success'])
from ..core.Processor import Processor class GetFile(Processor):
14
64
69
6
7
dtrodrigues/nifi-minifi-cpp
docker/test/integration/minifi/processors/GetFile.py
Python
GetFile
GetFile
4
12
4
4
a75a7221f79aa0227f0fd1c26d408c7d005911a4
bigcode/the-stack
train