code stringlengths 1 1.49M | file_id stringlengths 42 46 | node_count int64 0 7.38k | total_lines int64 1 20.9k | vector_dim int64 15 15 | vector_labels stringclasses 1
value | nodes stringlengths 2 3.75M | connections stringlengths 2 964k |
|---|---|---|---|---|---|---|---|
"""
Tutorial - Sessions
Storing session data in CherryPy applications is very easy: cherrypy
provides a dictionary called "session" that represents the session
data for the current user. If you use RAM based sessions, you can store
any kind of object into that dictionary; otherwise, you are limited to
objects that can... | ajibawa-2023/Python-Code-Large/train/row_4252 | 14 | 44 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4252:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 9], "level": 0, "parent": null, "vector": [8, 0, 0.1136, 0.2045, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotati... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4252:ClassDef_L14_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4252:Assign_L16_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4252:ClassDef_L14_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4252:FunctionDef_L18_C4"}, {"f": "ajibawa-2023/Python-Code-La... |
# This is used in test_config to test unrepr of "from A import B"
thing2 = object() | ajibawa-2023/Python-Code-Large/train/row_4253 | 1 | 3 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4253:Assign_L3_C0", "label": "thing2 = object()", "type": "assigned_variable", "loc": [3, 3], "level": 0, "parent": null, "vector": [14, 0, 1.0, 0.3333, 0, 0.66, 0.0, 699, 3, 0, 0, 0, 186, 10, 1], "semantic": {"name": "thing2", "arg_names": [], "import_names": [], "rhs_... | [] |
"""
Tutorial - Object inheritance
You are free to derive your request handler classes from any base
class you wish. In most real-world applications, you will probably
want to create a central base class used for all your pages, which takes
care of things like printing a common page header and footer.
"""
import cherr... | ajibawa-2023/Python-Code-Large/train/row_4254 | 25 | 83 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4254:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 8], "level": 0, "parent": null, "vector": [8, 0, 0.0542, 0.0964, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotati... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4254:ClassDef_L13_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4254:Assign_L15_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4254:ClassDef_L13_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4254:FunctionDef_L17_C4"}, {"f": "ajibawa-2023/Python-Code-La... |
###**********************************************###
### Unique Keychain Python Code ###
### ECE 387, Miami University, Spring 2013 ###
### Created By: Andrew Heldt, Lee Mondini and ###
### Shiloh Womack ###
###********************************************... | ajibawa-2023/Python-Code-Large/train/row_4255 | 20 | 42 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4255:Import_L7_C0", "label": "serial import serial, sys, feedparser\u2026", "type": "import", "loc": [7, 7], "level": 0, "parent": null, "vector": [1, 0, 0.1667, 0.0238, 0, 0.66, 0.0, 601, 0, 6, 0, 0, 601, 0, 0], "semantic": {"name": "serial", "arg_names": [], "import_n... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4255:Try_L17_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4255:Assign_L18_C1"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4255:Try_L17_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4255:Expr_L20_C1"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_425... |
#!/usr/bin/python
import pyglet
from anim3d import *
#3d projection setup func
def setup_gl(dims):
global angle
glMatrixMode(GL_PROJECTION)
glPushMatrix()
glLoadIdentity()
gluPerspective(40, float(dims[0])/dims[1], 0.1, 100)
glMatrixMode(GL_MODELVIEW)
glPushMatrix()
glLoadIdentity()
... | ajibawa-2023/Python-Code-Large/train/row_4256 | 44 | 66 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4256:Import_L2_C0", "label": "pyglet import pyglet", "type": "import", "loc": [2, 2], "level": 0, "parent": null, "vector": [1, 0, 0.0303, 0.0152, 0, 0.66, 0.0, 182, 0, 1, 0, 0, 182, 0, 0], "semantic": {"name": "pyglet", "arg_names": [], "import_names": ["pyglet"], "rhs... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4256:FunctionDef_L6_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4256:Expr_L9_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4256:FunctionDef_L6_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4256:Expr_L10_C4"}, {"f": "ajibawa-2023/Python-Code-Large/tr... |
#!/usr/bin/python
import pyglet
from anim3d import *
#3d projection setup func
def setup_gl(dims):
global angle
glMatrixMode(GL_PROJECTION)
glPushMatrix()
glLoadIdentity()
gluPerspective(40, float(dims[0])/dims[1], 0.1, 100)
glMatrixMode(GL_MODELVIEW)
glPushMatrix()
glLoadIdentity()
... | ajibawa-2023/Python-Code-Large/train/row_4257 | 44 | 66 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4257:Import_L2_C0", "label": "pyglet import pyglet", "type": "import", "loc": [2, 2], "level": 0, "parent": null, "vector": [1, 0, 0.0303, 0.0152, 0, 0.66, 0.0, 182, 0, 1, 0, 0, 182, 0, 0], "semantic": {"name": "pyglet", "arg_names": [], "import_names": ["pyglet"], "rhs... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4257:FunctionDef_L6_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4257:Expr_L9_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4257:FunctionDef_L6_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4257:Expr_L10_C4"}, {"f": "ajibawa-2023/Python-Code-Large/tr... |
from pyglet.gl import *
import math
class Face:
def __init__(self, ind, uv):
self.indices = ind
self.uv = uv
class KeyFrame:
def __init__(self, fp, nv):
self.verts = []
self.frame_num = int(fp.readline())
for i in xrange(nv):
(v1, v2, v3) = fp.readline().sp... | ajibawa-2023/Python-Code-Large/train/row_4258 | 86 | 113 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4258:ImportFrom_L1_C0", "label": "from pyglet.gl import *", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.0088, 0.0088, 0, 0.66, 0.0, 531, 0, 1, 0, 0, 531, 0, 0], "semantic": {"name": "pyglet.gl", "arg_names": [], "import_names": ["*"],... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4258:ClassDef_L4_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4258:FunctionDef_L5_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4258:FunctionDef_L5_C4", "t": "ajibawa-2023/Python-Code-Large/train/row_4258:Assign_L6_C8"}, {"f": "ajibawa-2023/Python-Code-Lar... |
#!BPY
"""
Name: '3Danim (.txt)'
Blender: 243
Group: 'Export'
Tooltip: 'export an animated text format.'
"""
__author__ = 'V Vamsi Krishna'
__version__ = '0.1'
__url__ = ["3danim project, http://code.google.com/p/3danim",
"", "blender", "blenderartists.org"]
__email__ = ["V.Vamsi Krishna, vamsikrishna.v:gmail*com... | ajibawa-2023/Python-Code-Large/train/row_4259 | 62 | 95 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4259:Expr_L3_C0", "label": "expression", "type": "expression", "loc": [3, 8], "level": 0, "parent": null, "vector": [8, 0, 0.0579, 0.0632, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotati... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4259:FunctionDef_L24_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4259:If_L25_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4259:If_L25_C4", "t": "ajibawa-2023/Python-Code-Large/train/row_4259:Assign_L26_C8"}, {"f": "ajibawa-2023/Python-Code-Large/train/ro... |
bl_info = {
"name": "Export 3DAnim Format(.txt)",
"author": "V.Vamsi Krishna(vkrishna)",
"version": (1, 0),
"blender": (2, 64, 0),
"api": 40000,
"location": "File > Export > 3DAnim (.txt)",
"description": "Export 3dAnim (.txt)",
"warning": "",
"category": "Import-Export"}
... | ajibawa-2023/Python-Code-Large/train/row_4260 | 75 | 108 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4260:Assign_L1_C0", "label": "bl_info =", "type": "assigned_variable", "loc": [1, 10], "level": 0, "parent": null, "vector": [14, 0, 0.0509, 0.0926, 0, 0.66, 0.0, 767, 0, 0, 0, 0, 0, 6, 0], "semantic": {"name": "bl_info", "arg_names": [], "import_names": [], "rhs_call_n... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4260:FunctionDef_L17_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4260:Expr_L18_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4260:FunctionDef_L17_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4260:Assign_L22_C4"}, {"f": "ajibawa-2023/Python-Code-Lar... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
__author__ = 'Michael Liao (askxuefeng@gmail.com)'
from os import path
from Cheetah.Template import Template
def main():
file = path.join(path.split(__file__)[0], 'home.html')
print 'Compile template %s...' % file
cc = Template.compile(source=None,... | ajibawa-2023/Python-Code-Large/train/row_4261 | 17 | 23 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4261:Assign_L4_C0", "label": "__author__ =", "type": "assigned_variable", "loc": [4, 4], "level": 0, "parent": null, "vector": [14, 0, 0.1739, 0.0435, 0, 0.66, 0.0, 777, 1, 0, 0, 0, 0, 3, 0], "semantic": {"name": "__author__", "arg_names": [], "import_names": [], "rhs_c... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4261:FunctionDef_L9_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4261:Assign_L10_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4261:FunctionDef_L9_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4261:Expr_L11_C4"}, {"f": "ajibawa-2023/Python-Code-Large... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
__author__ = 'Michael Liao (askxuefeng@gmail.com)'
import datetime
from xml.parsers.expat import ParserCreate
codes = {
0 : u'龙卷风', # tornado
1 : u'热带风暴', # tropical storm
2 : u'飓风', # hurricane
3 : u'风暴', # severe thunderstorm... | ajibawa-2023/Python-Code-Large/train/row_4262 | 133 | 233 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4262:Assign_L4_C0", "label": "__author__ =", "type": "assigned_variable", "loc": [4, 4], "level": 0, "parent": null, "vector": [14, 0, 0.0172, 0.0043, 0, 0.66, 0.0, 777, 1, 0, 0, 0, 0, 3, 0], "semantic": {"name": "__author__", "arg_names": [], "import_names": [], "rhs_c... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4262:ClassDef_L61_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4262:FunctionDef_L62_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4262:FunctionDef_L62_C4", "t": "ajibawa-2023/Python-Code-Large/train/row_4262:Assign_L63_C8"}, {"f": "ajibawa-2023/Python-Code... |
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
##################################################
## DEPENDENCIES
import sys
import os
import os.path
import __builtin__
from os.path import getmtime, exists
import time
import types
from Cheetah.Version import MinCompatibleVersion as RequiredCheetahVers... | ajibawa-2023/Python-Code-Large/train/row_4263 | 82 | 356 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4263:Import_L9_C0", "label": "sys import sys", "type": "import", "loc": [9, 9], "level": 0, "parent": null, "vector": [1, 0, 0.0253, 0.0028, 0, 0.66, 0.0, 509, 0, 1, 0, 0, 509, 0, 0], "semantic": {"name": "sys", "arg_names": [], "import_names": ["sys"], "rhs_call_name":... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4263:ClassDef_L48_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4263:FunctionDef_L54_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4263:FunctionDef_L54_C4", "t": "ajibawa-2023/Python-Code-Large/train/row_4263:Expr_L56_C8"}, {"f": "ajibawa-2023/Python-Code-L... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
__author__ = 'Michael Liao (askxuefeng@gmail.com)'
from google.appengine.ext import db
class City(db.Model):
name = db.StringProperty(required=True)
aliases = db.StringListProperty(required=True)
code = db.IntegerProperty(required=True)
def f... | ajibawa-2023/Python-Code-Large/train/row_4264 | 163 | 265 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4264:Assign_L4_C0", "label": "__author__ =", "type": "assigned_variable", "loc": [4, 4], "level": 0, "parent": null, "vector": [14, 0, 0.0151, 0.0038, 0, 0.66, 0.0, 777, 1, 0, 0, 0, 0, 3, 0], "semantic": {"name": "__author__", "arg_names": [], "import_names": [], "rhs_c... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4264:ClassDef_L8_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4264:Assign_L9_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4264:ClassDef_L8_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4264:Assign_L10_C4"}, {"f": "ajibawa-2023/Python-Code-Large/trai... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
__author__ = 'Michael Liao (askxuefeng@gmail.com)'
import os
import cgi
import time
import logging
import simplejson
from datetime import date
from google.appengine.api import xmpp
from google.appengine.ext import webapp
from google.appengine.ext.webapp.uti... | ajibawa-2023/Python-Code-Large/train/row_4265 | 175 | 228 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4265:Assign_L4_C0", "label": "__author__ =", "type": "assigned_variable", "loc": [4, 4], "level": 0, "parent": null, "vector": [14, 0, 0.0175, 0.0044, 0, 0.66, 0.0, 777, 1, 0, 0, 0, 0, 3, 0], "semantic": {"name": "__author__", "arg_names": [], "import_names": [], "rhs_c... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4265:FunctionDef_L27_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4265:If_L29_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4265:If_L29_C4", "t": "ajibawa-2023/Python-Code-Large/train/row_4265:Assign_L30_C8"}, {"f": "ajibawa-2023/Python-Code-Large/train/ro... |
'''
Provides an abstract Servlet baseclass for Cheetah's Template class
'''
import sys
import os.path
isWebwareInstalled = False
try:
try:
from ds.appserver.Servlet import Servlet as BaseServlet
except:
from WebKit.Servlet import Servlet as BaseServlet
isWebwareInstalled = True
if not... | ajibawa-2023/Python-Code-Large/train/row_4267 | 53 | 112 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4267:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 3], "level": 0, "parent": null, "vector": [8, 0, 0.0179, 0.0268, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotati... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4267:Try_L9_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4267:Try_L10_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4267:Try_L10_C4", "t": "ajibawa-2023/Python-Code-Large/train/row_4267:ImportFrom_L11_C8"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4... |
#
| ajibawa-2023/Python-Code-Large/train/row_4268 | 0 | 1 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [] | [] |
"Template support for Cheetah"
import sys, os, imp
from Cheetah import Compiler
import pkg_resources
def _recompile_template(package, basename, tfile, classname):
tmpl = pkg_resources.resource_string(package, "%s.tmpl" % basename)
c = Compiler.Compiler(source=tmpl, mainClassName='GenTemplate')
code = str... | ajibawa-2023/Python-Code-Large/train/row_4269 | 66 | 110 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4269:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 1], "level": 0, "parent": null, "vector": [8, 0, 0.0091, 0.0091, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotati... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4269:FunctionDef_L8_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4269:Assign_L9_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4269:FunctionDef_L8_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4269:Assign_L10_C4"}, {"f": "ajibawa-2023/Python-Code-Larg... |
from turbocheetah import cheetahsupport
TurboCheetah = cheetahsupport.TurboCheetah
__all__ = ["TurboCheetah"] | ajibawa-2023/Python-Code-Large/train/row_4270 | 3 | 5 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4270:ImportFrom_L1_C0", "label": "from turbocheetah import cheetahsupport", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.2, 0.2, 0, 0.66, 0.0, 172, 0, 1, 0, 0, 172, 0, 0], "semantic": {"name": "turbocheetah", "arg_names": [], "import_n... | [] |
"""
@@TR: This code is pretty much unsupported.
MondoReport.py -- Batching module for Python and Cheetah.
Version 2001-Nov-18. Doesn't do much practical yet, but the companion
testMondoReport.py passes all its tests.
-Mike Orr (Iron)
TODO: BatchRecord.prev/next/prev_batches/next_batches/query, prev.query,
next.quer... | ajibawa-2023/Python-Code-Large/train/row_4271 | 270 | 464 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4271:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 14], "level": 0, "parent": null, "vector": [8, 0, 0.0162, 0.0302, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotat... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4271:Try_L16_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4271:ImportFrom_L17_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4271:Try_L23_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4271:ImportFrom_L24_C4"}, {"f": "ajibawa-2023/Python-Code-Large/tra... |
# $Id: CGITemplate.py,v 1.6 2006/01/29 02:09:59 tavis_rudd Exp $
"""A subclass of Cheetah.Template for use in CGI scripts.
Usage in a template:
#extends Cheetah.Tools.CGITemplate
#implements respond
$cgiHeaders#slurp
Usage in a template inheriting a Python class:
1. The template
#extends MyPythonClass... | ajibawa-2023/Python-Code-Large/train/row_4272 | 19 | 77 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4272:Expr_L2_C0", "label": "expression", "type": "expression", "loc": [2, 37], "level": 0, "parent": null, "vector": [8, 0, 0.2532, 0.4675, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotat... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4272:ClassDef_L44_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4272:Expr_L45_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4272:ClassDef_L44_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4272:FunctionDef_L51_C4"}, {"f": "ajibawa-2023/Python-Code-Larg... |
# $Id: SiteHierarchy.py,v 1.1 2001/10/11 03:25:54 tavis_rudd Exp $
"""Create menus and crumbs from a site hierarchy.
You define the site hierarchy as lists/tuples. Each location in the hierarchy
is a (url, description) tuple. Each list has the base URL/text in the 0
position, and all the children coming after it. A... | ajibawa-2023/Python-Code-Large/train/row_4273 | 85 | 166 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4273:Expr_L2_C0", "label": "expression", "type": "expression", "loc": [2, 15], "level": 0, "parent": null, "vector": [8, 0, 0.0512, 0.0843, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotat... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4273:Try_L20_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4273:ImportFrom_L21_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4273:Try_L20_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4273:ImportFrom_L23_C4"}, {"f": "ajibawa-2023/Python-Code-Large/tra... |
"""
Nothing, but in a friendly way. Good for filling in for objects you want to
hide. If $form.f1 is a RecursiveNull object, then
$form.f1.anything["you"].might("use") will resolve to the empty string.
This module was contributed by Ian Bicking.
"""
class RecursiveNull(object):
def __getattr__(self, attr):
... | ajibawa-2023/Python-Code-Large/train/row_4274 | 20 | 28 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4274:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 7], "level": 0, "parent": null, "vector": [8, 0, 0.1429, 0.25, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotation... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4274:ClassDef_L9_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4274:FunctionDef_L10_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4274:FunctionDef_L10_C4", "t": "ajibawa-2023/Python-Code-Large/train/row_4274:Return_L11_C8"}, {"f": "ajibawa-2023/Python-Code-... |
"""This package contains classes, functions, objects and packages contributed
by Cheetah users. They are not used by Cheetah itself. There is no
guarantee that this directory will be included in Cheetah releases, that
these objects will remain here forever, or that they will remain
backward-compatible.
""... | ajibawa-2023/Python-Code-Large/train/row_4275 | 1 | 8 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4275:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 6], "level": 0, "parent": null, "vector": [8, 0, 0.4375, 0.75, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotation... | [] |
Version = '2.4.1'
VersionTuple = (2, 4, 1, 'final', 0)
MinCompatibleVersion = '2.0rc6'
MinCompatibleVersionTuple = (2, 0, 0, 'candidate', 6)
####
def convertVersionStringToTuple(s):
versionNum = [0, 0, 0]
releaseType = 'final'
releaseTypeSubNum = 0
if s.find('a')!=-1:
num, releaseTypeSubNum = ... | ajibawa-2023/Python-Code-Large/train/row_4276 | 31 | 58 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4276:Assign_L1_C0", "label": "Version =", "type": "assigned_variable", "loc": [1, 1], "level": 0, "parent": null, "vector": [14, 0, 0.0172, 0.0172, 0, 0.66, 0.0, 444, 1, 0, 0, 0, 0, 3, 0], "semantic": {"name": "Version", "arg_names": [], "import_names": [], "rhs_call_na... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4276:FunctionDef_L8_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4276:Assign_L9_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4276:FunctionDef_L8_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4276:Assign_L10_C4"}, {"f": "ajibawa-2023/Python-Code-Larg... |
"""SourceReader class for Cheetah's Parser and CodeGenerator
"""
import re
import sys
EOLre = re.compile(r'[ \f\t]*(?:\r\n|\r|\n)')
EOLZre = re.compile(r'(?:\r\n|\r|\n|\Z)')
ENCODINGsearch = re.compile("coding[=:]\s*([-\w.]+)").search
class Error(Exception):
pass
class SourceReade... | ajibawa-2023/Python-Code-Large/train/row_4277 | 187 | 290 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4277:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 2], "level": 0, "parent": null, "vector": [8, 0, 0.0052, 0.0069, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotati... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4277:ClassDef_L13_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4277:FunctionDef_L14_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4277:FunctionDef_L14_C4", "t": "ajibawa-2023/Python-Code-Large/train/row_4277:Assign_L40_C8"}, {"f": "ajibawa-2023/Python-Code... |
import gettext
_ = gettext.gettext
class I18n(object):
def __init__(self, parser):
pass
## junk I'm playing with to test the macro framework
# def parseArgs(self, parser, startPos):
# parser.getWhiteSpace()
# args = parser.getExpression(useNameMapper=False,
# ... | ajibawa-2023/Python-Code-Large/train/row_4278 | 10 | 67 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4278:Import_L1_C0", "label": "gettext import gettext", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.0149, 0.0149, 0, 0.66, 0.0, 723, 0, 1, 0, 0, 723, 0, 0], "semantic": {"name": "gettext", "arg_names": [], "import_names": ["gettext"], ... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4278:ClassDef_L3_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4278:FunctionDef_L4_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4278:ClassDef_L3_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4278:FunctionDef_L20_C4"}, {"f": "ajibawa-2023/Python-Code-... |
#
| ajibawa-2023/Python-Code-Large/train/row_4279 | 0 | 1 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [] | [] |
# $Id: ErrorCatchers.py,v 1.7 2005/01/03 19:59:07 tavis_rudd Exp $
"""ErrorCatcher class for Cheetah Templates
Meta-Data
================================================================================
Author: Tavis Rudd <tavis@damnsimple.com>
Version: $Revision: 1.7 $
Start Date: 2001/08/01
Last Revision Date: $Date:... | ajibawa-2023/Python-Code-Large/train/row_4280 | 33 | 62 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4280:Expr_L2_C0", "label": "expression", "type": "expression", "loc": [2, 10], "level": 0, "parent": null, "vector": [8, 0, 0.0968, 0.1452, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotat... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4280:ClassDef_L20_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4280:Assign_L21_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4280:ClassDef_L20_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4280:FunctionDef_L23_C4"}, {"f": "ajibawa-2023/Python-Code-La... |
'''
Compiler classes for Cheetah:
ModuleCompiler aka 'Compiler'
ClassCompiler
MethodCompiler
If you are trying to grok this code start with ModuleCompiler.__init__,
ModuleCompiler.compile, and ModuleCompiler.__getattr__.
'''
import sys
import os
import os.path
from os.path import getmtime, exi... | ajibawa-2023/Python-Code-Large/train/row_4281 | 1,179 | 1,999 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4281:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 9], "level": 0, "parent": null, "vector": [8, 0, 0.0025, 0.0045, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotati... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4281:ClassDef_L108_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4281:Expr_L109_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4281:ClassDef_L108_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4281:FunctionDef_L115_C4"}, {"f": "ajibawa-2023/Python-Code-... |
'''
Provides several CacheStore backends for Cheetah's caching framework. The
methods provided by these classes have the same semantics as those in the
python-memcached API, except for their return values:
set(key, val, time=0)
set the value unconditionally
add(key, val, time=0)
set only if the server doesn't alr... | ajibawa-2023/Python-Code-Large/train/row_4282 | 53 | 108 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4282:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 16], "level": 0, "parent": null, "vector": [8, 0, 0.0787, 0.1481, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotat... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4282:ClassDef_L24_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4282:FunctionDef_L26_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4282:ClassDef_L24_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4282:FunctionDef_L29_C4"}, {"f": "ajibawa-2023/Python-Co... |
# $Id: ImportHooks.py,v 1.27 2007/11/16 18:28:47 tavis_rudd Exp $
"""Provides some import hooks to allow Cheetah's .tmpl files to be imported
directly like Python .py modules.
To use these:
import Cheetah.ImportHooks
Cheetah.ImportHooks.install()
Meta-Data
========================================================... | ajibawa-2023/Python-Code-Large/train/row_4284 | 75 | 138 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4284:Expr_L3_C0", "label": "expression", "type": "expression", "loc": [3, 18], "level": 0, "parent": null, "vector": [8, 0, 0.0761, 0.1159, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotat... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4284:FunctionDef_L42_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4284:Expr_L44_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4284:ClassDef_L49_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4284:Assign_L50_C4"}, {"f": "ajibawa-2023/Python-Code-Large/... |
import os.path
import string
l = ['_'] * 256
for c in string.digits + string.letters:
l[ord(c)] = c
_pathNameTransChars = string.join(l, '')
del l, c
def convertTmplPathToModuleName(tmplPath,
_pathNameTransChars=_pathNameTransChars,
splitdrive=os.pat... | ajibawa-2023/Python-Code-Large/train/row_4285 | 8 | 15 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4285:Import_L1_C0", "label": "os.path import os.path", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.0667, 0.0667, 0, 0.66, 0.0, 79, 0, 1, 0, 0, 79, 0, 0], "semantic": {"name": "os.path", "arg_names": [], "import_names": ["os.path"], "r... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4285:For_L5_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4285:Assign_L6_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4285:FunctionDef_L10_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4285:Return_L15_C4"}] |
"""
Parser classes for Cheetah's Compiler
Classes:
ParseError( Exception )
_LowLevelParser( Cheetah.SourceReader.SourceReader ), basically a lexer
_HighLevelParser( _LowLevelParser )
Parser === _HighLevelParser (an alias)
"""
import os
import sys
import re
from re import DOTALL, MULTILINE
from types import St... | ajibawa-2023/Python-Code-Large/train/row_4287 | 1,645 | 2,661 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4287:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 9], "level": 0, "parent": null, "vector": [8, 0, 0.0019, 0.0034, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotati... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4287:FunctionDef_L30_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4287:If_L31_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4287:If_L31_C4", "t": "ajibawa-2023/Python-Code-Large/train/row_4287:Assign_L32_C8"}, {"f": "ajibawa-2023/Python-Code-Large/train/ro... |
#!/usr/bin/env python
import os
import pprint
try:
from functools import reduce
except ImportError:
# Assume we have reduce
pass
from Cheetah import Parser
from Cheetah import Compiler
from Cheetah import Template
class Analyzer(Parser.Parser):
def __init__(self, *args, **kwargs):
self.calls... | ajibawa-2023/Python-Code-Large/train/row_4288 | 63 | 98 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4288:Import_L3_C0", "label": "os import os", "type": "import", "loc": [3, 3], "level": 0, "parent": null, "vector": [1, 0, 0.0306, 0.0102, 0, 0.66, 0.0, 688, 0, 1, 0, 0, 688, 0, 0], "semantic": {"name": "os", "arg_names": [], "import_names": ["os"], "rhs_call_name": "",... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4288:Try_L6_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4288:ImportFrom_L7_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4288:ClassDef_L16_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4288:FunctionDef_L17_C4"}, {"f": "ajibawa-2023/Python-Code-Large... |
try:
from ds.sys.Unspecified import Unspecified
except ImportError:
class _Unspecified:
def __repr__(self):
return 'Unspecified'
def __str__(self):
return 'Unspecified'
Unspecified = _Unspecified()
| ajibawa-2023/Python-Code-Large/train/row_4289 | 8 | 9 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4289:Try_L1_C0", "label": "try", "type": "try", "loc": [1, 9], "level": 0, "parent": null, "vector": [7, 0, 0.5556, 1.0, 0, 0.66, 0.0, 0, 0, 1, 0, 0, 0, 0, 1], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotation": ""}, "snippet... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4289:Try_L1_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4289:ImportFrom_L2_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4289:Try_L1_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4289:ClassDef_L4_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row... |
# $Id: WebInputMixin.py,v 1.10 2006/01/06 21:56:54 tavis_rudd Exp $
"""Provides helpers for Template.webInput(), a method for importing web
transaction variables in bulk. See the docstring of webInput for full details.
Meta-Data
================================================================================
Author: ... | ajibawa-2023/Python-Code-Large/train/row_4292 | 46 | 102 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4292:Expr_L2_C0", "label": "expression", "type": "expression", "loc": [2, 13], "level": 0, "parent": null, "vector": [8, 0, 0.0735, 0.1176, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotat... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4292:ClassDef_L24_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4292:Expr_L25_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4292:ClassDef_L24_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4292:FunctionDef_L31_C4"}, {"f": "ajibawa-2023/Python-Code-Larg... |
## statprof.py
## Copyright (C) 2004,2005 Andy Wingo <wingo at pobox dot com>
## Copyright (C) 2001 Rob Browning <rlb at defaultvalue dot org>
## This library is free software; you can redistribute it and/or
## modify it under the terms of the GNU Lesser General Public
## License as published by the Free Software Foun... | ajibawa-2023/Python-Code-Large/train/row_4293 | 102 | 304 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4293:Expr_L22_C0", "label": "expression", "type": "expression", "loc": [22, 120], "level": 0, "parent": null, "vector": [8, 0, 0.2336, 0.3257, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "anno... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4293:Try_L125_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4293:Import_L126_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4293:FunctionDef_L147_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4293:Assign_L148_C4"}, {"f": "ajibawa-2023/Python-Code-Large... |
"""This is a copy of the htmlDecode function in Webware.
@@TR: It implemented more efficiently.
"""
from Cheetah.Utils.htmlEncode import htmlCodesReversed
def htmlDecode(s, codes=htmlCodesReversed):
""" Returns the ASCII decoded version of the given HTML string. This does
NOT remove normal HTML tags like <p... | ajibawa-2023/Python-Code-Large/train/row_4294 | 7 | 14 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4294:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 5], "level": 0, "parent": null, "vector": [8, 0, 0.2143, 0.3571, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotati... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4294:FunctionDef_L9_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4294:Expr_L10_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4294:FunctionDef_L9_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4294:For_L12_C4"}, {"f": "ajibawa-2023/Python-Code-Large/tr... |
#!/usr/bin/env python
"""
Miscellaneous functions/objects used by Cheetah but also useful standalone.
"""
import os # Used in mkdirsWithPyInitFile.
import sys # Used in die.
##################################################
## MISCELLANEOUS FUNCTIONS
def die(reason):
sys.stderr.write(reason... | ajibawa-2023/Python-Code-Large/train/row_4295 | 29 | 67 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4295:Expr_L2_C0", "label": "expression", "type": "expression", "loc": [2, 4], "level": 0, "parent": null, "vector": [8, 0, 0.0448, 0.0448, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotati... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4295:FunctionDef_L11_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4295:Expr_L12_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4295:FunctionDef_L11_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4295:Expr_L13_C4"}, {"f": "ajibawa-2023/Python-Code-Large... |
"""
Indentation maker.
@@TR: this code is unsupported and largely undocumented ...
This version is based directly on code by Robert Kuzelj
<robert_kuzelj@yahoo.com> and uses his directive syntax. Some classes and
attributes have been renamed. Indentation is output via
$self._CHEETAH__indenter.indent() to prevent '_i... | ajibawa-2023/Python-Code-Large/train/row_4296 | 86 | 123 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4296:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 11], "level": 0, "parent": null, "vector": [8, 0, 0.0488, 0.0894, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotat... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4296:FunctionDef_L16_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4296:Return_L17_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4296:ClassDef_L19_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4296:Expr_L20_C4"}, {"f": "ajibawa-2023/Python-Code-Large/... |
"""This is a copy of the htmlEncode function in Webware.
@@TR: It implemented more efficiently.
"""
htmlCodes = [
['&', '&'],
['<', '<'],
['>', '>'],
['"', '"'],
]
htmlCodesReversed = htmlCodes[:]
htmlCodesReversed.reverse()
def htmlEncode(s, codes=htmlCodes):
""" Returns the HTML... | ajibawa-2023/Python-Code-Large/train/row_4297 | 9 | 21 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4297:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 6], "level": 0, "parent": null, "vector": [8, 0, 0.1667, 0.2857, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotati... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4297:FunctionDef_L16_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4297:Expr_L17_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4297:FunctionDef_L16_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4297:For_L19_C4"}, {"f": "ajibawa-2023/Python-Code-Large/... |
#
| ajibawa-2023/Python-Code-Large/train/row_4298 | 0 | 1 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [] | [] |
import sys
import os.path
import copy as copyModule
from ConfigParser import ConfigParser
import re
from tokenize import Intnumber, Floatnumber, Number
from types import *
import types
import new
import time
from StringIO import StringIO # not cStringIO because of unicode support
import imp # used by S... | ajibawa-2023/Python-Code-Large/train/row_4299 | 153 | 290 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4299:Import_L1_C0", "label": "sys import sys", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.0034, 0.0034, 0, 0.66, 0.0, 509, 0, 1, 0, 0, 509, 0, 0], "semantic": {"name": "sys", "arg_names": [], "import_names": ["sys"], "rhs_call_name":... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4299:FunctionDef_L25_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4299:Expr_L26_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4299:FunctionDef_L25_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4299:If_L32_C4"}, {"f": "ajibawa-2023/Python-Code-Large/t... |
# $Id: _SkeletonPage.py,v 1.13 2002/10/01 17:52:02 tavis_rudd Exp $
"""A baseclass for the SkeletonPage template
Meta-Data
==========
Author: Tavis Rudd <tavis@damnsimple.com>,
Version: $Revision: 1.13 $
Start Date: 2001/04/05
Last Revision Date: $Date: 2002/10/01 17:52:02 $
"""
__author__ = "Tavis Rudd <tavis@damnsim... | ajibawa-2023/Python-Code-Large/train/row_4300 | 102 | 213 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4300:Expr_L2_C0", "label": "expression", "type": "expression", "loc": [2, 10], "level": 0, "parent": null, "vector": [8, 0, 0.0282, 0.0423, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotat... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4300:ClassDef_L30_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4300:Expr_L31_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4300:ClassDef_L30_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4300:Assign_L33_C4"}, {"f": "ajibawa-2023/Python-Code-Large/tra... |
# $Id: CacheRegion.py,v 1.3 2006/01/28 04:19:30 tavis_rudd Exp $
'''
Cache holder classes for Cheetah:
Cache regions are defined using the #cache Cheetah directive. Each
cache region can be viewed as a dictionary (keyed by cacheRegionID)
handling at least one cache item (the default one). It's possible to add
cacheIte... | ajibawa-2023/Python-Code-Large/train/row_4302 | 69 | 136 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4302:Expr_L2_C0", "label": "expression", "type": "expression", "loc": [2, 20], "level": 0, "parent": null, "vector": [8, 0, 0.0809, 0.1397, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotat... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4302:Try_L22_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4302:ImportFrom_L23_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4302:Try_L22_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4302:ImportFrom_L25_C4"}, {"f": "ajibawa-2023/Python-Code-Large/tra... |
# $Id: CheetahWrapper.py,v 1.26 2007/10/02 01:22:04 tavis_rudd Exp $
"""Cheetah command-line interface.
2002-09-03 MSO: Total rewrite.
2002-09-04 MSO: Bugfix, compile command was using wrong output ext.
2002-11-08 MSO: Another rewrite.
Meta-Data
========================================================================... | ajibawa-2023/Python-Code-Large/train/row_4303 | 397 | 632 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4303:Expr_L2_C0", "label": "expression", "type": "expression", "loc": [2, 14], "level": 0, "parent": null, "vector": [8, 0, 0.0127, 0.0206, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotat... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4303:FunctionDef_L29_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4303:If_L30_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4303:If_L30_C4", "t": "ajibawa-2023/Python-Code-Large/train/row_4303:Assign_L31_C8"}, {"f": "ajibawa-2023/Python-Code-Large/train/ro... |
'''
Cheetah is an open source template engine and code generation tool.
It can be used standalone or combined with other tools and frameworks. Web
development is its principle use, but Cheetah is very flexible and is also being
used to generate C++ game code, Java, sql, form emails and even Python code.
Homepage
... | ajibawa-2023/Python-Code-Large/train/row_4304 | 2 | 20 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4304:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 18], "level": 0, "parent": null, "vector": [8, 0, 0.475, 0.9, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotation"... | [] |
#!/usr/bin/env python
'''
Core module of Cheetah's Unit-testing framework
TODO
================================================================================
# combo tests
# negative test cases for expected exceptions
# black-box vs clear-box testing
# do some tests that run the Template for long enough to check tha... | ajibawa-2023/Python-Code-Large/train/row_4305 | 24 | 53 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4305:Expr_L2_C0", "label": "expression", "type": "expression", "loc": [2, 11], "level": 0, "parent": null, "vector": [8, 0, 0.1226, 0.1887, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotat... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4305:If_L43_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4305:Expr_L44_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4305:If_L46_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4305:Assign_L47_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4305:... |
"""
XML Test Runner for PyUnit
"""
# Written by Sebastian Rittau <srittau@jroger.in-berlin.de> and placed in
# the Public Domain. With contributions by Paolo Borelli.
__revision__ = "$Id: /private/python/stdlib/xmlrunner.py 16654 2007-11-12T12:46:35.368945Z srittau $"
import os.path
import re
import sys
import time... | ajibawa-2023/Python-Code-Large/train/row_4306 | 198 | 381 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4306:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 3], "level": 0, "parent": null, "vector": [8, 0, 0.0052, 0.0079, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotati... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4306:ClassDef_L23_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4306:Expr_L25_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4306:ClassDef_L23_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4306:FunctionDef_L31_C4"}, {"f": "ajibawa-2023/Python-Code-Larg... |
#!/usr/bin/env python
# -*- encoding: utf8 -*-
from Cheetah.Template import Template
from Cheetah import CheetahWrapper
from Cheetah import DummyTransaction
import imp
import os
import sys
import tempfile
import unittest
class CommandLineTest(unittest.TestCase):
def createAndCompile(self, source):
sourcef... | ajibawa-2023/Python-Code-Large/train/row_4307 | 121 | 237 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4307:ImportFrom_L4_C0", "label": "from Cheetah.Template import Template", "type": "import", "loc": [4, 4], "level": 0, "parent": null, "vector": [1, 0, 0.0169, 0.0042, 0, 0.66, 0.0, 171, 0, 1, 0, 0, 171, 0, 0], "semantic": {"name": "Cheetah.Template", "arg_names": [], "... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4307:ClassDef_L13_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4307:FunctionDef_L14_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4307:FunctionDef_L14_C4", "t": "ajibawa-2023/Python-Code-Large/train/row_4307:Assign_L15_C8"}, {"f": "ajibawa-2023/Python-Code... |
#!/usr/bin/env python
import unittest
from Cheetah import SettingsManager
class SettingsManagerTests(unittest.TestCase):
def test_mergeDictionaries(self):
left = {'foo' : 'bar', 'abc' : {'a' : 1, 'b' : 2, 'c' : (3,)}}
right = {'xyz' : (10, 9)}
expect = {'xyz': (10, 9), 'foo': 'bar', 'abc... | ajibawa-2023/Python-Code-Large/train/row_4309 | 11 | 20 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4309:Import_L3_C0", "label": "unittest import unittest", "type": "import", "loc": [3, 3], "level": 0, "parent": null, "vector": [1, 0, 0.15, 0.05, 0, 0.66, 0.0, 88, 0, 1, 0, 0, 88, 0, 0], "semantic": {"name": "unittest", "arg_names": [], "import_names": ["unittest"], "r... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4309:ClassDef_L8_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4309:FunctionDef_L9_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4309:FunctionDef_L9_C4", "t": "ajibawa-2023/Python-Code-Large/train/row_4309:Assign_L10_C8"}, {"f": "ajibawa-2023/Python-Code-La... |
#!/usr/bin/env python
import unittest
from Cheetah import Parser
class ArgListTest(unittest.TestCase):
def setUp(self):
super(ArgListTest, self).setUp()
self.al = Parser.ArgList()
def test_merge1(self):
'''
Testing the ArgList case results from Template.Preprocessors.tes... | ajibawa-2023/Python-Code-Large/train/row_4310 | 28 | 49 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4310:Import_L3_C0", "label": "unittest import unittest", "type": "import", "loc": [3, 3], "level": 0, "parent": null, "vector": [1, 0, 0.0612, 0.0204, 0, 0.66, 0.0, 88, 0, 1, 0, 0, 88, 0, 0], "semantic": {"name": "unittest", "arg_names": [], "import_names": ["unittest"]... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4310:ClassDef_L7_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4310:FunctionDef_L8_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4310:FunctionDef_L8_C4", "t": "ajibawa-2023/Python-Code-Large/train/row_4310:Expr_L9_C8"}, {"f": "ajibawa-2023/Python-Code-Large... |
#!/usr/bin/env python
import unittest
from Cheetah import DirectiveAnalyzer
class AnalyzerTests(unittest.TestCase):
def test_set(self):
template = '''
#set $foo = "bar"
Hello ${foo}!
'''
calls = DirectiveAnalyzer.analyze(template)
self.assertEquals(1, calls.get('s... | ajibawa-2023/Python-Code-Large/train/row_4311 | 13 | 29 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4311:Import_L3_C0", "label": "unittest import unittest", "type": "import", "loc": [3, 3], "level": 0, "parent": null, "vector": [1, 0, 0.1034, 0.0345, 0, 0.66, 0.0, 88, 0, 1, 0, 0, 88, 0, 0], "semantic": {"name": "unittest", "arg_names": [], "import_names": ["unittest"]... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4311:ClassDef_L8_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4311:FunctionDef_L9_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4311:FunctionDef_L9_C4", "t": "ajibawa-2023/Python-Code-Large/train/row_4311:Assign_L10_C8"}, {"f": "ajibawa-2023/Python-Code-La... |
#!/usr/bin/env python
import Cheetah.NameMapper
import Cheetah.Template
import sys
import unittest
majorVer, minorVer = sys.version_info[0], sys.version_info[1]
versionTuple = (majorVer, minorVer)
def isPython23():
''' Python 2.3 is still supported by Cheetah, but doesn't support decorators '''
return maj... | ajibawa-2023/Python-Code-Large/train/row_4313 | 79 | 246 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4313:Import_L3_C0", "label": "Cheetah.NameMapper import Cheetah.NameMapper", "type": "import", "loc": [3, 3], "level": 0, "parent": null, "vector": [1, 0, 0.0122, 0.0041, 0, 0.66, 0.0, 308, 0, 1, 0, 0, 308, 0, 0], "semantic": {"name": "Cheetah.NameMapper", "arg_names": ... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4313:FunctionDef_L13_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4313:Expr_L14_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4313:FunctionDef_L13_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4313:Return_L15_C4"}, {"f": "ajibawa-2023/Python-Code-Lar... |
#!/usr/bin/env python
'''
Tests for the 'cheetah' command.
Besides unittest usage, recognizes the following command-line options:
--list CheetahWrapper.py
List all scenarios that are tested. The argument is the path
of this script.
--nodelete
Don't delete scratch directory at end.
... | ajibawa-2023/Python-Code-Large/train/row_4314 | 394 | 573 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4314:Expr_L2_C0", "label": "expression", "type": "expression", "loc": [2, 13], "level": 0, "parent": null, "vector": [8, 0, 0.0131, 0.0209, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotat... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4314:Try_L26_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4314:ImportFrom_L27_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4314:Try_L26_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4314:ClassDef_L28_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train... |
#
| ajibawa-2023/Python-Code-Large/train/row_4315 | 0 | 1 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [] | [] |
#!/usr/bin/env python
import hotshot
import hotshot.stats
import os
import sys
import unittest
from test import pystone
import time
import Cheetah.NameMapper
import Cheetah.Template
# This can be turned on with the `--debug` flag when running the test
# and will cause the tests to all just dump out how long they t... | ajibawa-2023/Python-Code-Large/train/row_4316 | 114 | 243 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4316:Import_L3_C0", "label": "hotshot import hotshot", "type": "import", "loc": [3, 3], "level": 0, "parent": null, "vector": [1, 0, 0.0123, 0.0041, 0, 0.66, 0.0, 974, 0, 1, 0, 0, 974, 0, 0], "semantic": {"name": "hotshot", "arg_names": [], "import_names": ["hotshot"], ... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4316:FunctionDef_L28_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4316:If_L30_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4316:If_L30_C4", "t": "ajibawa-2023/Python-Code-Large/train/row_4316:Assign_L31_C8"}, {"f": "ajibawa-2023/Python-Code-Large/train/ro... |
#!/usr/bin/env python
import sys
import types
import os
import os.path
import unittest
from Cheetah.NameMapper import NotFound, valueForKey, \
valueForName, valueFromSearchList, valueFromFrame, valueFromFrameOrSearchList
class DummyClass:
classVar1 = 123
def __init__(self):
self.instanceVar1 ... | ajibawa-2023/Python-Code-Large/train/row_4317 | 335 | 525 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4317:Import_L4_C0", "label": "sys import sys", "type": "import", "loc": [4, 4], "level": 0, "parent": null, "vector": [1, 0, 0.0076, 0.0019, 0, 0.66, 0.0, 509, 0, 1, 0, 0, 509, 0, 0], "semantic": {"name": "sys", "arg_names": [], "import_names": ["sys"], "rhs_call_name":... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4317:ClassDef_L14_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4317:Assign_L15_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4317:ClassDef_L14_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4317:FunctionDef_L17_C4"}, {"f": "ajibawa-2023/Python-Code-La... |
import Cheetah.Template
def render(template_file, **kwargs):
'''
Cheetah.Django.render() takes the template filename
(the filename should be a file in your Django
TEMPLATE_DIRS)
Any additional keyword arguments are passed into the
template are propogated into the templat... | ajibawa-2023/Python-Code-Large/train/row_4319 | 8 | 16 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4319:Import_L1_C0", "label": "Cheetah.Template import Cheetah.Template", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.0625, 0.0625, 0, 0.66, 0.0, 171, 0, 1, 0, 0, 171, 0, 0], "semantic": {"name": "Cheetah.Template", "arg_names": [], "i... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4319:FunctionDef_L3_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4319:Expr_L4_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4319:FunctionDef_L3_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4319:Import_L12_C4"}, {"f": "ajibawa-2023/Python-Code-Large/... |
from glob import glob
import os
from os import listdir
import os.path
import re
from tempfile import mktemp
def _escapeRegexChars(txt,
escapeRE=re.compile(r'([\$\^\*\+\.\?\{\}\[\]\(\)\|\\])')):
return escapeRE.sub(r'\\\1', txt)
def findFiles(*args, **kw):
"""Recursively find all the file... | ajibawa-2023/Python-Code-Large/train/row_4322 | 199 | 357 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4322:ImportFrom_L2_C0", "label": "from glob import glob", "type": "import", "loc": [2, 2], "level": 0, "parent": null, "vector": [1, 0, 0.0056, 0.0028, 0, 0.66, 0.0, 958, 0, 1, 0, 0, 958, 0, 0], "semantic": {"name": "glob", "arg_names": [], "import_names": ["glob"], "rh... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4322:FunctionDef_L9_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4322:Return_L11_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4322:FunctionDef_L13_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4322:Expr_L14_C4"}, {"f": "ajibawa-2023/Python-Code-Larg... |
# -*- coding: utf-8 -*-
###########################################################################
## Python code generated with wxFormBuilder (version Sep 8 2010)
## http://www.wxformbuilder.org/
##
## PLEASE DO "NOT" EDIT THIS FILE!
##########################################################################... | ajibawa-2023/Python-Code-Large/train/row_4323 | 88 | 142 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4323:Import_L10_C0", "label": "wx import wx", "type": "import", "loc": [10, 10], "level": 0, "parent": null, "vector": [1, 0, 0.0704, 0.007, 0, 0.66, 0.0, 666, 0, 1, 0, 0, 666, 0, 0], "semantic": {"name": "wx", "arg_names": [], "import_names": ["wx"], "rhs_call_name": "... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4323:ClassDef_L22_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4323:FunctionDef_L24_C1"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4323:FunctionDef_L24_C1", "t": "ajibawa-2023/Python-Code-Large/train/row_4323:Expr_L25_C2"}, {"f": "ajibawa-2023/Python-Code-L... |
""" some utility function for use in load_balance benchmark """
# MPI imports
from mpi4py import MPI
comm = MPI.COMM_WORLD
size = comm.Get_size()
rank = comm.Get_rank()
import sys
import os
from os.path import join, exists
import traceback
from optparse import OptionParser
# logging imports
import logging
# local ... | ajibawa-2023/Python-Code-Large/train/row_4325 | 185 | 330 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4325:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 1], "level": 0, "parent": null, "vector": [8, 0, 0.003, 0.003, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotation... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4325:FunctionDef_L33_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4325:Expr_L34_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4325:FunctionDef_L33_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4325:Assign_L36_C4"}, {"f": "ajibawa-2023/Python-Code-Lar... |
''' Module to run bench modules which need to be run in mpi
This module imports the given module to run, and returns the result
of the bench functions of the modules. Also results are written to
mpirunner.log file
Usage:
1. Print the result in formatted form:
$ mpiexec -n <num_procs> python mpirunner.py <bench_name>
... | ajibawa-2023/Python-Code-Large/train/row_4326 | 46 | 73 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4326:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 13], "level": 0, "parent": null, "vector": [8, 0, 0.0959, 0.1781, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotat... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4326:FunctionDef_L22_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4326:Assign_L23_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4326:FunctionDef_L22_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4326:Assign_L24_C4"}, {"f": "ajibawa-2023/Python-Code-L... |
""" Time comparison for the Cython and OpenCL integrators.
We use the NBody integration example as the benchmark. Here, and all
neighbor locator is used. The setup consists of four points at the
vertices of the unit square in 2D.
"""
import numpy
from time import time
import pysph.solver.api as solver
import pysp... | ajibawa-2023/Python-Code-Large/train/row_4327 | 54 | 101 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4327:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 8], "level": 0, "parent": null, "vector": [8, 0, 0.0446, 0.0792, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotati... | [] |
""" Benchmark for the PySPH neighbor search functions. """
import sys
import numpy
import time
#PySPH imports
import pysph.base.api as base
def get_points(np = 10000):
""" Get np particles in domain [1, -1] X [-1, 1] """
x = numpy.random.random(np)*2.0 - 1.0
y = numpy.random.random(np)*2.0 - 1.0
z =... | ajibawa-2023/Python-Code-Large/train/row_4328 | 67 | 109 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4328:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 1], "level": 0, "parent": null, "vector": [8, 0, 0.0092, 0.0092, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotati... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4328:FunctionDef_L9_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4328:Expr_L10_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4328:FunctionDef_L9_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4328:Assign_L12_C4"}, {"f": "ajibawa-2023/Python-Code-Large... |
from setuptools import find_packages, setup
from Cython.Distutils import build_ext
from numpy.distutils.extension import Extension
ext_modules = [Extension("cython_nnps", ["cython_nnps.pyx"],
language="c++",
extra_compile_args=["-O3", "-Wall"]
... | ajibawa-2023/Python-Code-Large/train/row_4329 | 5 | 22 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4329:ImportFrom_L1_C0", "label": "from setuptools import find_packages, setup", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.0455, 0.0455, 0, 0.66, 0.0, 182, 0, 2, 0, 0, 182, 0, 0], "semantic": {"name": "setuptools", "arg_names": [], "... | [] |
"""This module compiles the specified (all) the cython .pyx files
in the specified (current) directory into python extensions
"""
import sys
import os
from setuptools import setup
from Cython.Distutils import build_ext
from numpy.distutils.extension import Extension
import numpy
def get_spcl_extn(extn):
""" spe... | ajibawa-2023/Python-Code-Large/train/row_4330 | 35 | 61 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4330:Import_L1_C0", "label": "sys import sys", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.0164, 0.0164, 0, 0.66, 0.0, 509, 0, 1, 0, 0, 509, 0, 0], "semantic": {"name": "sys", "arg_names": [], "import_names": ["sys"], "rhs_call_name":... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4330:FunctionDef_L10_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4330:Expr_L11_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4330:FunctionDef_L10_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4330:Assign_L12_C4"}, {"f": "ajibawa-2023/Python-Code-Lar... |
import pysph.base.api as base
import pysph.solver.api as solver
import pysph.sph.api as sph
import numpy
import time
import pyopencl as cl
CLDomain = base.DomainManagerType
CLLocator = base.OpenCLNeighborLocatorType
# number of particles
np = 1 << 20
# number of times a single calc is evaluated
neval = 5
x = numpy... | ajibawa-2023/Python-Code-Large/train/row_4331 | 74 | 126 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4331:Import_L1_C0", "label": "pysph.base.api import base", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.0079, 0.0079, 0, 0.66, 0.0, 212, 0, 1, 0, 0, 212, 0, 0], "semantic": {"name": "pysph.base.api", "arg_names": [], "import_names": ["... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4331:For_L26_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4331:Expr_L27_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4331:For_L26_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4331:Expr_L28_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4331:... |
""" Benchmark example for binning particles in Cython and OpenCL """
import numpy
import numpy.random as random
from time import time
import pysph.base.api as base
import pysph.solver.api as solver
CLDomain = base.DomainManagerType
CLLocator = base.OpenCLNeighborLocatorType
# number of points
np = 2**20
# number o... | ajibawa-2023/Python-Code-Large/train/row_4332 | 36 | 61 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4332:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 1], "level": 0, "parent": null, "vector": [8, 0, 0.0164, 0.0164, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotati... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4332:For_L35_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4332:Assign_L36_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4332:For_L35_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4332:Expr_L37_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_433... |
import pysph.base.api as base
import pysph.solver.api as solver
import pysph.sph.api as sph
import numpy
import time
import pyopencl as cl
CLDomain = base.DomainManagerType
CLLocator = base.OpenCLNeighborLocatorType
Locator = base.NeighborLocatorType
# number of particles
np = 16384
# number of times a single calc ... | ajibawa-2023/Python-Code-Large/train/row_4333 | 74 | 130 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4333:Import_L1_C0", "label": "pysph.base.api import base", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.0077, 0.0077, 0, 0.66, 0.0, 212, 0, 1, 0, 0, 212, 0, 0], "semantic": {"name": "pysph.base.api", "arg_names": [], "import_names": ["... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4333:For_L27_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4333:Expr_L28_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4333:For_L27_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4333:Expr_L29_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4333:... |
from cStringIO import StringIO
import compiler
import inspect
import textwrap
import tokenize
from compiler_unparse import unparse
class Comment(object):
""" A comment block.
"""
is_comment = True
def __init__(self, start_lineno, end_lineno, text):
# int : The first line number in the block. ... | ajibawa-2023/Python-Code-Large/train/row_4335 | 97 | 158 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4335:ImportFrom_L1_C0", "label": "from cStringIO import StringIO", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.0063, 0.0063, 0, 0.66, 0.0, 764, 0, 1, 0, 0, 764, 0, 0], "semantic": {"name": "cStringIO", "arg_names": [], "import_names":... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4335:ClassDef_L10_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4335:Expr_L11_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4335:ClassDef_L10_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4335:Assign_L13_C4"}, {"f": "ajibawa-2023/Python-Code-Large/tra... |
""" Turn compiler.ast structures back into executable python code.
The unparse method takes a compiler.ast tree and transforms it back into
valid python code. It is incomplete and currently only works for
import statements, function calls, function definitions, assignments, and
basic expressions.
... | ajibawa-2023/Python-Code-Large/train/row_4336 | 386 | 860 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4336:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 12], "level": 0, "parent": null, "vector": [8, 0, 0.0076, 0.014, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotati... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4336:FunctionDef_L18_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4336:Assign_L19_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4336:FunctionDef_L18_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4336:Expr_L20_C4"}, {"f": "ajibawa-2023/Python-Code-Lar... |
import inspect
import os
import pydoc
import docscrape
from docscrape_sphinx import SphinxClassDoc, SphinxFunctionDoc
import numpydoc
import comment_eater
class SphinxTraitsDoc(SphinxClassDoc):
def __init__(self, cls, modulename='', func_doc=SphinxFunctionDoc):
if not inspect.isclass(cls):
rai... | ajibawa-2023/Python-Code-Large/train/row_4337 | 78 | 141 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4337:Import_L1_C0", "label": "inspect import inspect", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.0071, 0.0071, 0, 0.66, 0.0, 878, 0, 1, 0, 0, 878, 0, 0], "semantic": {"name": "inspect", "arg_names": [], "import_names": ["inspect"], ... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4337:ClassDef_L10_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4337:FunctionDef_L11_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4337:FunctionDef_L11_C4", "t": "ajibawa-2023/Python-Code-Large/train/row_4337:If_L12_C8"}, {"f": "ajibawa-2023/Python-Code-Lar... |
import re, textwrap
from docscrape import NumpyDocString, FunctionDoc, ClassDoc
class SphinxDocString(NumpyDocString):
# string conversion routines
def _str_header(self, name, symbol='`'):
return ['.. rubric:: ' + name, '']
def _str_field_list(self, name):
return [':' + name + ':']
de... | ajibawa-2023/Python-Code-Large/train/row_4338 | 59 | 108 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4338:Import_L1_C0", "label": "re import re, textwrap", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.0093, 0.0093, 0, 0.66, 0.0, 540, 0, 2, 0, 0, 540, 0, 0], "semantic": {"name": "re", "arg_names": [], "import_names": ["re", "textwrap"]... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4338:ClassDef_L4_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4338:FunctionDef_L6_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4338:FunctionDef_L6_C4", "t": "ajibawa-2023/Python-Code-Large/train/row_4338:Return_L7_C8"}, {"f": "ajibawa-2023/Python-Code-Lar... |
def exact_solution(tf=0.00076, dt=1e-4):
""" Exact solution for the the elliptical drop equations """
import numpy
A0 = 100
a0 = 1.0
t = 0.0
theta = numpy.linspace(0,2*numpy.pi, 101)
Anew = A0
anew = a0
while t <= tf:
t += dt
Aold = Anew
aold = anew
... | ajibawa-2023/Python-Code-Large/train/row_4340 | 17 | 30 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4340:FunctionDef_L1_C0", "label": "exact_solution", "type": "function", "loc": [1, 27], "level": 0, "parent": null, "vector": [2, 0, 0.4667, 0.9, 0, 0.66, 0.0, 167, 0, 2, 1, 0, 0, 0, 3], "semantic": {"name": "exact_solution", "arg_names": ["tf", "dt"], "import_names": [... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4340:FunctionDef_L1_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4340:Expr_L2_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4340:FunctionDef_L1_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4340:Import_L3_C4"}, {"f": "ajibawa-2023/Python-Code-Large/t... |
""" An example solving stress test case """
import sys
import numpy
from numpy import pi, sin, sinh, cos, cosh
import pysph.base.api as base
import pysph.sph.api as sph
import pysph.solver.api as solver
from pysph.solver.stress_solver import StressSolver, get_particle_array
from pysph.sph.funcs import stress_funcs
fr... | ajibawa-2023/Python-Code-Large/train/row_4341 | 118 | 172 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4341:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 1], "level": 0, "parent": null, "vector": [8, 0, 0.0058, 0.0058, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotati... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4341:ClassDef_L21_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4341:FunctionDef_L22_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4341:FunctionDef_L22_C4", "t": "ajibawa-2023/Python-Code-Large/train/row_4341:Assign_L23_C8"}, {"f": "ajibawa-2023/Python-Code... |
""" An example solving stress test case """
import sys
import numpy
from numpy import pi, sin, sinh, cos, cosh
import pysph.base.api as base
import pysph.sph.api as sph
import pysph.solver.api as solver
from pysph.solver.stress_solver import StressSolver
from pysph.sph.funcs import stress_funcs
from pysph.sph.api imp... | ajibawa-2023/Python-Code-Large/train/row_4342 | 119 | 195 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4342:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 1], "level": 0, "parent": null, "vector": [8, 0, 0.0051, 0.0051, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotati... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4342:ClassDef_L20_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4342:FunctionDef_L21_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4342:FunctionDef_L21_C4", "t": "ajibawa-2023/Python-Code-Large/train/row_4342:Assign_L22_C8"}, {"f": "ajibawa-2023/Python-Code... |
""" Balls colliding in 2D """
import numpy
import pysph.base.api as base
import pysph.sph.api as sph
import pysph.solver.api as solver
import pysph.sph.funcs.stress_funcs as stress_funcs
app = solver.Application()
Solid = base.ParticleType.Solid
E = 1e7
nu = 0.3975
G = E/(2.0*(1+nu))
K = sph.get_K(G, nu)
ro = 1.0... | ajibawa-2023/Python-Code-Large/train/row_4343 | 106 | 342 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4343:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 1], "level": 0, "parent": null, "vector": [8, 0, 0.0029, 0.0029, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotati... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4343:FunctionDef_L27_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4343:Assign_L29_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4343:FunctionDef_L27_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4343:Assign_L30_C4"}, {"f": "ajibawa-2023/Python-Code-L... |
""" An example solving stress test case """
import numpy
import sys
import pysph.base.api as base
import pysph.solver.api as solver
from pysph.solver.stress_solver import StressSolver, get_particle_array
from pysph.sph.funcs import stress_funcs, arithmetic_funcs
from pysph.sph.api import SPHFunction
app = solver.App... | ajibawa-2023/Python-Code-Large/train/row_4344 | 83 | 124 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4344:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 1], "level": 0, "parent": null, "vector": [8, 0, 0.0081, 0.0081, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotati... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4344:ClassDef_L17_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4344:Expr_L18_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4344:ClassDef_L17_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4344:FunctionDef_L19_C4"}, {"f": "ajibawa-2023/Python-Code-Larg... |
""" An example solving stress test case : colliding rubber balls """
import sys
import numpy
from numpy import pi, sin, sinh, cos, cosh
import pysph.base.api as base
import pysph.sph.api as sph
import pysph.solver.api as solver
from pysph.solver.stress_solver import StressSolver
from pysph.sph.funcs import stress_fun... | ajibawa-2023/Python-Code-Large/train/row_4345 | 82 | 141 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4345:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 1], "level": 0, "parent": null, "vector": [8, 0, 0.0071, 0.0071, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotati... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4345:FunctionDef_L19_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4345:Assign_L21_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4345:FunctionDef_L19_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4345:Assign_L22_C4"}, {"f": "ajibawa-2023/Python-Code-L... |
""" An example solving stress test case """
import numpy
import sys
import os
import pysph.base.api as base
import pysph.solver.api as solver
from pysph.solver.stress_solver import StressSolver, get_particle_array
from pysph.sph.funcs import stress_funcs, arithmetic_funcs
from pysph.sph.api import SPHFunction
app = ... | ajibawa-2023/Python-Code-Large/train/row_4346 | 111 | 168 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4346:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 1], "level": 0, "parent": null, "vector": [8, 0, 0.006, 0.006, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotation... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4346:ClassDef_L23_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4346:Expr_L24_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4346:ClassDef_L23_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4346:FunctionDef_L25_C4"}, {"f": "ajibawa-2023/Python-Code-Larg... |
""" Example file showing the use of solver controller and various interfaces
Usage:
Run this file after running the `controller_elliptical_drop.py` example file
A matplotlib plot window will open showing the current position of all
the particles and colored according to their velocities. The plot is update... | ajibawa-2023/Python-Code-Large/train/row_4347 | 91 | 156 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4347:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 10], "level": 0, "parent": null, "vector": [8, 0, 0.0353, 0.0641, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotat... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4347:FunctionDef_L26_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4347:Expr_L27_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4347:FunctionDef_L26_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4347:Expr_L28_C4"}, {"f": "ajibawa-2023/Python-Code-Large... |
""" An example solving the Elliptical drop test case with various interfaces """
import pysph.base.api as base
import pysph.solver.api as solver
app = solver.Application()
app.process_command_line(['-q', '--interactive',
'--xml-rpc=0.0.0.0:8900', '--multiproc=pysph@0.0.0.0:8800'])
s = solver.Flu... | ajibawa-2023/Python-Code-Large/train/row_4348 | 12 | 22 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4348:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 1], "level": 0, "parent": null, "vector": [8, 0, 0.0455, 0.0455, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotati... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4348:If_L20_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4348:Expr_L21_C4"}] |
""" Simple motion. """
import numpy
import pysph.base.api as base
import pysph.solver.api as solver
import pysph.sph.api as sph
from random import randint
from numpy import random
nx = 1 << 5
dx = 0.5/nx
def create_particles_3d(**kwargs):
x, y, z = numpy.mgrid[0.25:0.75+1e-10:dx,
0.25... | ajibawa-2023/Python-Code-Large/train/row_4349 | 68 | 163 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4349:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 1], "level": 0, "parent": null, "vector": [8, 0, 0.0061, 0.0061, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotati... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4349:FunctionDef_L14_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4349:Assign_L16_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4349:FunctionDef_L14_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4349:Assign_L21_C4"}, {"f": "ajibawa-2023/Python-Code-L... |
""" A script to demonstrate the simplest of calculations in parallel
Setup:
------
Two particle arrays are created on two separate processors with the
following procerties:
processor 0:
x ~ [0,1], dx = 0.1, h = 0.2, m = 0.1, fval = x*x
processor 1:
x ~ [1.1, 2], dx = 0.1, h = 0.2, m = 0.1, fval = x*x
"""
#... | ajibawa-2023/Python-Code-Large/train/row_4350 | 7 | 10 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4350:ImportFrom_L1_C0", "label": "from mpi4py import MPI", "type": "import", "loc": [1, 1], "level": 0, "parent": null, "vector": [1, 0, 0.1, 0.1, 0, 0.66, 0.0, 985, 0, 1, 0, 0, 985, 0, 0], "semantic": {"name": "mpi4py", "arg_names": [], "import_names": ["MPI"], "rhs_ca... | [] |
""" The moving square test case is part of the SPHERIC benchmark
tests. Refer to the document for the test details.
Numerical Parameters:
---------------------
dx = dy = 0.005
h = 0.0065 => h/dx = 1.3
Length of Box = 10
Height of Box = 5
Number of particles = 27639 + 1669 = 29308
ro = 1000.0
Vmax = 1.0
co = 15 (1... | ajibawa-2023/Python-Code-Large/train/row_4351 | 122 | 268 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4351:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 27], "level": 0, "parent": null, "vector": [8, 0, 0.0522, 0.1007, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotat... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4351:ClassDef_L57_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4351:FunctionDef_L59_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4351:FunctionDef_L59_C4", "t": "ajibawa-2023/Python-Code-Large/train/row_4351:Assign_L60_C8"}, {"f": "ajibawa-2023/Python-Code... |
""" 2D Dam Break Over a dry bed. The case is described in "State of
the art classical SPH for free surface flows", Benedict D Rogers,
Robert A, Dalrymple and Alex J.C Crespo, Journal of Hydraulic
Research, Vol 48, Extra Issue (2010), pp 6-27
Setup:
------
x x !
x x !
x ... | ajibawa-2023/Python-Code-Large/train/row_4352 | 72 | 273 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4352:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 74], "level": 0, "parent": null, "vector": [8, 0, 0.1374, 0.2711, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotat... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4352:FunctionDef_L106_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4352:Expr_L107_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4352:FunctionDef_L106_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4352:Assign_L109_C4"}, {"f": "ajibawa-2023/Python-Code... |
""" 2D Dam Break Over a dry bed. The case is described in "State of
the art classical SPH for free surface flows", Benedict D Rogers,
Robert A, Dalrymple and Alex J.C Crespo, Journal of Hydraulic
Research, Vol 48, Extra Issue (2010), pp 6-27
Setup:
------
x x !
x x !
x ... | ajibawa-2023/Python-Code-Large/train/row_4353 | 120 | 338 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4353:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 74], "level": 0, "parent": null, "vector": [8, 0, 0.1109, 0.2189, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotat... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4353:FunctionDef_L103_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4353:Expr_L104_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4353:FunctionDef_L103_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4353:Return_L118_C4"}, {"f": "ajibawa-2023/Python-Code... |
""" A tiny dam break problem
Setup:
------
x x !
x x !
x x !
x x !
x o o o o o x !
x o o o o o x !3m
x o o o o o x !
x o o o o o x !
x o o o o o x !
x x !
xxxxxxxxxxxxxxxxxxxxx | ... | ajibawa-2023/Python-Code-Large/train/row_4354 | 61 | 204 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4354:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 63], "level": 0, "parent": null, "vector": [8, 0, 0.1569, 0.3088, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotat... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4354:FunctionDef_L88_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4354:Expr_L89_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4354:FunctionDef_L88_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4354:Assign_L91_C4"}, {"f": "ajibawa-2023/Python-Code-Lar... |
""" 2D Dam Break Over a dry bed. The case is described in "State of
the art classical SPH for free surface flows", Benedict D Rogers,
Robert A, Dalrymple and Alex J.C Crespo, Journal of Hydraulic
Research, Vol 48, Extra Issue (2010), pp 6-27
Setup:
------
x x !
x x !
x ... | ajibawa-2023/Python-Code-Large/train/row_4355 | 75 | 262 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4355:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 74], "level": 0, "parent": null, "vector": [8, 0, 0.1431, 0.2824, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotat... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4355:FunctionDef_L107_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4355:Expr_L108_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4355:FunctionDef_L107_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4355:Assign_L110_C4"}, {"f": "ajibawa-2023/Python-Code... |
""" Dam break simulation over a wet bed.
This is part of the SPHERIC validation test cases (case 5)
(http://wiki.manchester.ac.uk/spheric/index.php/SPHERIC_Home_Page)
The main reference for this test case is 'State-of-the-art classical SPH for free-surface flows' by Moncho Gomez-Gesteira and Benedict D. Rogers and Ro... | ajibawa-2023/Python-Code-Large/train/row_4356 | 88 | 261 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4356:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 10], "level": 0, "parent": null, "vector": [8, 0, 0.0211, 0.0383, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotat... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4356:FunctionDef_L42_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4356:Expr_L43_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4356:FunctionDef_L42_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4356:Assign_L46_C4"}, {"f": "ajibawa-2023/Python-Code-Lar... |
""" An example Script to study the behavior of Monaghan type repulsive
particles (Smoothed Particle Hydrodynamics, Reports on Progresses in
Physics)
The boundary particles are an improvement over the Lenard Jones type
repulsive boundary particles. One of the main features is that a
particle moving parallel to the wall... | ajibawa-2023/Python-Code-Large/train/row_4357 | 42 | 204 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4357:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 84], "level": 0, "parent": null, "vector": [8, 0, 0.2083, 0.4118, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotat... | [] |
""" A simple example in which two drops collide """
import pysph.solver.api as solver
import pysph.base.api as base
import pysph.sph.api as sph
import numpy
def get_circular_patch(name="", type=0, dx=0.05):
x,y = numpy.mgrid[-1.05:1.05+1e-4:dx, -1.05:1.05+1e-4:dx]
x = x.ravel()
y = y.ravel()
m... | ajibawa-2023/Python-Code-Large/train/row_4358 | 41 | 75 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4358:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 1], "level": 0, "parent": null, "vector": [8, 0, 0.0133, 0.0133, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotati... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4358:FunctionDef_L9_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4358:Assign_L11_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4358:FunctionDef_L9_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4358:Assign_L12_C4"}, {"f": "ajibawa-2023/Python-Code-Lar... |
""" NBody Example """
import pysph.base.api as base
import pysph.solver.api as solver
import pysph.sph.api as sph
import numpy
Fluid = base.ParticleType.Fluid
# number of particles, time step and final time
np = 1024
dt = 1e-2
tf = 10.0
nsteps = tf/dt
def get_particles(**kwargs):
x = numpy.random.random(... | ajibawa-2023/Python-Code-Large/train/row_4359 | 29 | 61 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4359:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 1], "level": 0, "parent": null, "vector": [8, 0, 0.0164, 0.0164, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotati... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4359:FunctionDef_L18_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4359:Assign_L20_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4359:FunctionDef_L18_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4359:Assign_L21_C4"}, {"f": "ajibawa-2023/Python-Code-L... |
""" Shock tube problem with the ADKE procedure of Sigalotti """
import pysph.solver.api as solver
import pysph.base.api as base
import pysph.sph.api as sph
from pysph.base.kernels import CubicSplineKernel
import numpy
Fluid = base.ParticleType.Fluid
Boundary = base.ParticleType.Boundary
# Shock tube parameters
nl ... | ajibawa-2023/Python-Code-Large/train/row_4360 | 71 | 206 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4360:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 1], "level": 0, "parent": null, "vector": [8, 0, 0.0049, 0.0049, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotati... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4360:ClassDef_L31_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4360:FunctionDef_L32_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4360:FunctionDef_L32_C4", "t": "ajibawa-2023/Python-Code-Large/train/row_4360:Assign_L33_C8"}, {"f": "ajibawa-2023/Python-Code... |
""" Sjogreen's test case """
import numpy
import pysph.base.api as base
import pysph.solver.api as solver
import get_shock_tube_data as get_data
CLDomain = base.DomainManagerType
CLLocator = base.OpenCLNeighborLocatorType
Locator = base.NeighborLocatorType
# shock tube parameters
xl = -1.0; xr = 1.0
pl = 0.4; pr =... | ajibawa-2023/Python-Code-Large/train/row_4361 | 45 | 85 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4361:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 1], "level": 0, "parent": null, "vector": [8, 0, 0.0118, 0.0118, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotati... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4361:FunctionDef_L47_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4361:Assign_L49_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4361:FunctionDef_L47_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4361:If_L56_C4"}, {"f": "ajibawa-2023/Python-Code-Large... |
""" Standard shock tube problem by Monaghan """
import numpy
import pysph.base.api as base
import pysph.solver.api as solver
import get_shock_tube_data as data
CLDomain = base.DomainManagerType
CLLocator = base.OpenCLNeighborLocatorType
Locator = base.NeighborLocatorType
kernel = base.CubicSplineKernel
hks=False
... | ajibawa-2023/Python-Code-Large/train/row_4362 | 46 | 85 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4362:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 1], "level": 0, "parent": null, "vector": [8, 0, 0.0118, 0.0118, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotati... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4362:FunctionDef_L48_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4362:Assign_L49_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4362:FunctionDef_L48_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4362:If_L56_C4"}, {"f": "ajibawa-2023/Python-Code-Large... |
"""Woodward and COllela interacting blast wave."""
import numpy
import pysph.sph.api as sph
import pysph.base.api as base
import pysph.solver.api as solver
xl = 0
xr = 1.0
np = 5001
nbp = 100
dx = (xr-xl)/(np-1)
D = 1.5
h0 = D*dx
adke_eps = 0.5
adke_k = 1.0
g1 = 0.2
g2 = 0.4
alpha = 1.0
beta = 1.0
gamma = 1.4
t... | ajibawa-2023/Python-Code-Large/train/row_4363 | 96 | 157 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4363:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 1], "level": 0, "parent": null, "vector": [8, 0, 0.0064, 0.0064, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotati... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4363:ClassDef_L31_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4363:FunctionDef_L33_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4363:FunctionDef_L33_C4", "t": "ajibawa-2023/Python-Code-Large/train/row_4363:Assign_L34_C8"}, {"f": "ajibawa-2023/Python-Code... |
"""1D shock tube problem which simulates the collision of two strong
shocks. The test is described in 'An adaptive SPH method for strong
shocks' by Leonardo Di. G. Sigalotti and Henri Lopez and Leonardo
Trujillo, JCP, vol 228, pp (5888-5907)
"""
import pysph.solver.api as solver
import pysph.base.api as base
import p... | ajibawa-2023/Python-Code-Large/train/row_4364 | 43 | 85 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4364:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 6], "level": 0, "parent": null, "vector": [8, 0, 0.0412, 0.0706, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotati... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4364:FunctionDef_L52_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4364:Assign_L54_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4364:FunctionDef_L52_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4364:Assign_L61_C4"}, {"f": "ajibawa-2023/Python-Code-L... |
""" Robert's problem """
import numpy
import pysph.base.api as base
import pysph.solver.api as solver
import get_shock_tube_data as get_data
CLDomain = base.DomainManagerType
CLLocator = base.OpenCLNeighborLocatorType
Locator = base.NeighborLocatorType
# Roberts problem parameters
vc = 0.42
xl = -4.8; xr = 8.0
pl... | ajibawa-2023/Python-Code-Large/train/row_4365 | 50 | 96 | 15 | ["cat_id", "level", "center", "span", "parent_depth", "parent_weight", "sibling_index", "name_hash", "rhs_type", "arg_count", "return_type", "is_async", "module_hash", "value_type", "calls_count"] | [{"id": "ajibawa-2023/Python-Code-Large/train/row_4365:Expr_L1_C0", "label": "expression", "type": "expression", "loc": [1, 1], "level": 0, "parent": null, "vector": [8, 0, 0.0104, 0.0104, 0, 0.66, 0.0, 0, 1, 0, 0, 0, 0, 0, 0], "semantic": {"name": "", "arg_names": [], "import_names": [], "rhs_call_name": "", "annotati... | [{"f": "ajibawa-2023/Python-Code-Large/train/row_4365:FunctionDef_L54_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4365:Assign_L56_C4"}, {"f": "ajibawa-2023/Python-Code-Large/train/row_4365:FunctionDef_L54_C0", "t": "ajibawa-2023/Python-Code-Large/train/row_4365:Assign_L64_C4"}, {"f": "ajibawa-2023/Python-Code-L... |
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