Spaces:
Running
Running
Commit
·
87a6313
1
Parent(s):
5171d34
unify data viewer, DV, DV2, DVS
Browse files- curated.py +4 -0
- data_viewer.py +157 -0
- main.py +5 -2
- web.py +2 -156
curated.py
CHANGED
|
@@ -5,6 +5,7 @@ from fh_plotly import plotly2fasthtml
|
|
| 5 |
import pandas as pd
|
| 6 |
import json
|
| 7 |
from data_viewer import view_data, gen_random_id
|
|
|
|
| 8 |
from rich import print
|
| 9 |
import uuid
|
| 10 |
import plotly.express as px
|
|
@@ -485,6 +486,9 @@ wiki_examples = Div(
|
|
| 485 |
),
|
| 486 |
)
|
| 487 |
|
|
|
|
|
|
|
|
|
|
| 488 |
def get_freelaw_data(data_source: str = "Freelaw", doc_id: int = 3, target: str = "foo"):
|
| 489 |
doc_id = max(0, min(int(doc_id), 9))
|
| 490 |
|
|
|
|
| 5 |
import pandas as pd
|
| 6 |
import json
|
| 7 |
from data_viewer import view_data, gen_random_id
|
| 8 |
+
from data_viewer import DV, DV2, DVS
|
| 9 |
from rich import print
|
| 10 |
import uuid
|
| 11 |
import plotly.express as px
|
|
|
|
| 486 |
),
|
| 487 |
)
|
| 488 |
|
| 489 |
+
wiki_examples = DV("data/curated_samples/wiki.json", 0, "Wikipedia")
|
| 490 |
+
|
| 491 |
+
|
| 492 |
def get_freelaw_data(data_source: str = "Freelaw", doc_id: int = 3, target: str = "foo"):
|
| 493 |
doc_id = max(0, min(int(doc_id), 9))
|
| 494 |
|
data_viewer.py
CHANGED
|
@@ -3,6 +3,7 @@ from fasthtml.components import *
|
|
| 3 |
import json
|
| 4 |
import string
|
| 5 |
import random
|
|
|
|
| 6 |
|
| 7 |
|
| 8 |
def gen_random_id() -> str:
|
|
@@ -79,3 +80,159 @@ def view_data(
|
|
| 79 |
style="overflow: auto; clear: both; height: 600px; border: 1px solid #ccc; padding: 20px;",
|
| 80 |
)
|
| 81 |
return Div(form, data_display, style="margin-top: 10px;", id=target)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 3 |
import json
|
| 4 |
import string
|
| 5 |
import random
|
| 6 |
+
import jsonlines
|
| 7 |
|
| 8 |
|
| 9 |
def gen_random_id() -> str:
|
|
|
|
| 80 |
style="overflow: auto; clear: both; height: 600px; border: 1px solid #ccc; padding: 20px;",
|
| 81 |
)
|
| 82 |
return Div(form, data_display, style="margin-top: 10px;", id=target)
|
| 83 |
+
|
| 84 |
+
|
| 85 |
+
|
| 86 |
+
def DVS(
|
| 87 |
+
left,
|
| 88 |
+
header,
|
| 89 |
+
):
|
| 90 |
+
col1 = Div(
|
| 91 |
+
Pre(
|
| 92 |
+
json.dumps(left, indent=4, ensure_ascii=False),
|
| 93 |
+
style="white-space: pre-wrap; word-break: break-all;",
|
| 94 |
+
),
|
| 95 |
+
style="float: left; overflow-x: auto;",
|
| 96 |
+
)
|
| 97 |
+
|
| 98 |
+
data_display = Div(
|
| 99 |
+
col1,
|
| 100 |
+
style="overflow: auto; clear: both; height: 200px; border: 1px solid #ccc; padding: 20px;",
|
| 101 |
+
)
|
| 102 |
+
return Div(H3(header), data_display, style="margin-top: 10px;")
|
| 103 |
+
|
| 104 |
+
|
| 105 |
+
def DV(
|
| 106 |
+
left_file,
|
| 107 |
+
doc_id,
|
| 108 |
+
header,
|
| 109 |
+
target: str = None,
|
| 110 |
+
):
|
| 111 |
+
if target is None:
|
| 112 |
+
target = "".join(random.choices(string.ascii_lowercase, k=8))
|
| 113 |
+
|
| 114 |
+
if left_file.endswith("jsonl"):
|
| 115 |
+
left = [x for x in jsonlines.open(left_file)]
|
| 116 |
+
else:
|
| 117 |
+
left = json.load(open(left_file, encoding="utf-8"))
|
| 118 |
+
max_doc_id = len(left) - 1
|
| 119 |
+
slider = Input(
|
| 120 |
+
type="range",
|
| 121 |
+
name=f"doc_id_{target}",
|
| 122 |
+
min="0",
|
| 123 |
+
max=str(max_doc_id),
|
| 124 |
+
value=str(doc_id),
|
| 125 |
+
hx_get=f"/update/{target}",
|
| 126 |
+
hx_target=f"#{target}",
|
| 127 |
+
hx_trigger="change",
|
| 128 |
+
hx_swap="innerHTML",
|
| 129 |
+
hx_vals=json.dumps({"left_file": f"{left_file}", "header": f"{header}"}),
|
| 130 |
+
)
|
| 131 |
+
|
| 132 |
+
form = Div(
|
| 133 |
+
H3(header),
|
| 134 |
+
Label(
|
| 135 |
+
"Data sample: ", slider, f"{doc_id} of {max_doc_id}", cls="plotly_slider"
|
| 136 |
+
),
|
| 137 |
+
cls="plotly_input_container",
|
| 138 |
+
style="padding: 20px;",
|
| 139 |
+
)
|
| 140 |
+
|
| 141 |
+
col1 = Div(
|
| 142 |
+
Pre(
|
| 143 |
+
json.dumps(left[doc_id], indent=4, ensure_ascii=False),
|
| 144 |
+
style="white-space: pre-wrap; word-break: break-all;",
|
| 145 |
+
),
|
| 146 |
+
style="float: left; overflow-x: auto;",
|
| 147 |
+
)
|
| 148 |
+
|
| 149 |
+
data_display = Div(
|
| 150 |
+
col1,
|
| 151 |
+
style="overflow: auto; clear: both; height: 600px; border: 1px solid #ccc; padding: 20px;",
|
| 152 |
+
)
|
| 153 |
+
return Div(form, data_display, style="margin-top: 10px;", id=target)
|
| 154 |
+
|
| 155 |
+
|
| 156 |
+
def DV2(
|
| 157 |
+
left_file,
|
| 158 |
+
right_file,
|
| 159 |
+
doc_id,
|
| 160 |
+
target: str = None,
|
| 161 |
+
):
|
| 162 |
+
if target is None:
|
| 163 |
+
target = "".join(random.choices(string.ascii_lowercase, k=8))
|
| 164 |
+
|
| 165 |
+
left = json.load(open(left_file, encoding="utf-8"))
|
| 166 |
+
right = json.load(open(right_file, encoding="utf-8"))
|
| 167 |
+
max_doc_id = len(left) - 1
|
| 168 |
+
|
| 169 |
+
slider = Input(
|
| 170 |
+
type="range",
|
| 171 |
+
name=f"doc_id_{target}",
|
| 172 |
+
min="0",
|
| 173 |
+
max=str(max_doc_id),
|
| 174 |
+
value=str(doc_id),
|
| 175 |
+
hx_get=f"/update/{target}",
|
| 176 |
+
hx_target=f"#{target}",
|
| 177 |
+
hx_trigger="change",
|
| 178 |
+
hx_swap="innerHTML",
|
| 179 |
+
hx_vals=json.dumps(
|
| 180 |
+
{"left_file": f"{left_file}", "right_file": f"{right_file}"}
|
| 181 |
+
),
|
| 182 |
+
)
|
| 183 |
+
|
| 184 |
+
form = Div(
|
| 185 |
+
Label(
|
| 186 |
+
"Data sample: ", slider, f"{doc_id} of {max_doc_id}", cls="plotly_slider"
|
| 187 |
+
),
|
| 188 |
+
cls="plotly_input_container",
|
| 189 |
+
style="padding: 20px;",
|
| 190 |
+
)
|
| 191 |
+
|
| 192 |
+
col1 = Div(
|
| 193 |
+
H3("Raw format", style="margin-top: 0px;"),
|
| 194 |
+
Pre(
|
| 195 |
+
json.dumps(left[doc_id], indent=4, ensure_ascii=False),
|
| 196 |
+
style="white-space: pre-wrap; word-break: break-all;",
|
| 197 |
+
),
|
| 198 |
+
style="width: 48%; float: left; overflow-x: auto;",
|
| 199 |
+
)
|
| 200 |
+
|
| 201 |
+
col2 = Div(
|
| 202 |
+
H3("Extracted format", style="margin-top: 0px;"),
|
| 203 |
+
Pre(
|
| 204 |
+
json.dumps(right[doc_id], indent=4, ensure_ascii=False),
|
| 205 |
+
style="white-space: pre-wrap; word-break: break-all;",
|
| 206 |
+
),
|
| 207 |
+
style="width: 48%; float: right; overflow-x: auto;",
|
| 208 |
+
)
|
| 209 |
+
|
| 210 |
+
data_display = Div(
|
| 211 |
+
col1,
|
| 212 |
+
col2,
|
| 213 |
+
style="overflow: auto; clear: both; height: 600px; border: 1px solid #ccc; padding: 20px;",
|
| 214 |
+
)
|
| 215 |
+
return Div(form, data_display, style="margin-top: 10px;", id=target)
|
| 216 |
+
|
| 217 |
+
|
| 218 |
+
def update(target: str, request):
|
| 219 |
+
params = request.query_params
|
| 220 |
+
doc_id = int(params.get(f"doc_id_{target}", 3))
|
| 221 |
+
left_file = params.get("left_file")
|
| 222 |
+
right_file = params.get("right_file")
|
| 223 |
+
if left_file and right_file:
|
| 224 |
+
return (
|
| 225 |
+
DV2(
|
| 226 |
+
left_file,
|
| 227 |
+
right_file,
|
| 228 |
+
doc_id,
|
| 229 |
+
target,
|
| 230 |
+
),
|
| 231 |
+
)
|
| 232 |
+
else:
|
| 233 |
+
return DV(
|
| 234 |
+
left_file,
|
| 235 |
+
doc_id,
|
| 236 |
+
params.get("header"),
|
| 237 |
+
target,
|
| 238 |
+
)
|
main.py
CHANGED
|
@@ -21,6 +21,7 @@ import web
|
|
| 21 |
import common
|
| 22 |
import results
|
| 23 |
from pybtex.database import parse_file
|
|
|
|
| 24 |
|
| 25 |
|
| 26 |
app, rt = fast_app(
|
|
@@ -541,11 +542,13 @@ def intro():
|
|
| 541 |
|
| 542 |
|
| 543 |
#rt("/overview")(overview.overview)
|
|
|
|
|
|
|
|
|
|
|
|
|
| 544 |
rt("/curated")(curated.curated)
|
| 545 |
-
rt("/curated/{target}")(curated.update)
|
| 546 |
|
| 547 |
rt("/webdata")(web.web_data)
|
| 548 |
-
rt("/webdata/{target}")(web.update)
|
| 549 |
|
| 550 |
rt("/common")(common.common_steps)
|
| 551 |
|
|
|
|
| 21 |
import common
|
| 22 |
import results
|
| 23 |
from pybtex.database import parse_file
|
| 24 |
+
import data_viewer
|
| 25 |
|
| 26 |
|
| 27 |
app, rt = fast_app(
|
|
|
|
| 542 |
|
| 543 |
|
| 544 |
#rt("/overview")(overview.overview)
|
| 545 |
+
|
| 546 |
+
rt("/update/{target}")(data_viewer.update)
|
| 547 |
+
|
| 548 |
+
|
| 549 |
rt("/curated")(curated.curated)
|
|
|
|
| 550 |
|
| 551 |
rt("/webdata")(web.web_data)
|
|
|
|
| 552 |
|
| 553 |
rt("/common")(common.common_steps)
|
| 554 |
|
web.py
CHANGED
|
@@ -7,9 +7,11 @@ from rich import print
|
|
| 7 |
import jsonlines
|
| 8 |
from data.url_blocklist import urls_high_matches, urls_false_positives
|
| 9 |
from data.non_web_urls import non_web_urls
|
|
|
|
| 10 |
from fasthtml.components import D_code
|
| 11 |
import pandas as pd
|
| 12 |
|
|
|
|
| 13 |
data_filtering_table_data = pd.DataFrame(
|
| 14 |
{
|
| 15 |
"Dataset": [
|
|
@@ -176,162 +178,6 @@ table_html_qf_filter_data = qf_filtering_table_data.to_html(index=False, border=
|
|
| 176 |
table_div_qf_filter_data = Div(NotStr(table_html_qf_filter_data), style="margin: 40px;")
|
| 177 |
|
| 178 |
|
| 179 |
-
def DVS(
|
| 180 |
-
left,
|
| 181 |
-
header,
|
| 182 |
-
):
|
| 183 |
-
col1 = Div(
|
| 184 |
-
Pre(
|
| 185 |
-
json.dumps(left, indent=4, ensure_ascii=False),
|
| 186 |
-
style="white-space: pre-wrap; word-break: break-all;",
|
| 187 |
-
),
|
| 188 |
-
style="float: left; overflow-x: auto;",
|
| 189 |
-
)
|
| 190 |
-
|
| 191 |
-
data_display = Div(
|
| 192 |
-
col1,
|
| 193 |
-
style="overflow: auto; clear: both; height: 200px; border: 1px solid #ccc; padding: 20px;",
|
| 194 |
-
)
|
| 195 |
-
return Div(H3(header), data_display, style="margin-top: 10px;")
|
| 196 |
-
|
| 197 |
-
|
| 198 |
-
def DV(
|
| 199 |
-
left_file,
|
| 200 |
-
doc_id,
|
| 201 |
-
header,
|
| 202 |
-
target: str = None,
|
| 203 |
-
):
|
| 204 |
-
if target is None:
|
| 205 |
-
target = "".join(random.choices(string.ascii_lowercase, k=8))
|
| 206 |
-
|
| 207 |
-
if left_file.endswith("jsonl"):
|
| 208 |
-
left = [x for x in jsonlines.open(left_file)]
|
| 209 |
-
else:
|
| 210 |
-
left = json.load(open(left_file, encoding="utf-8"))
|
| 211 |
-
max_doc_id = len(left) - 1
|
| 212 |
-
slider = Input(
|
| 213 |
-
type="range",
|
| 214 |
-
name=f"doc_id_{target}",
|
| 215 |
-
min="0",
|
| 216 |
-
max=str(max_doc_id),
|
| 217 |
-
value=str(doc_id),
|
| 218 |
-
hx_get=f"/webdata/{target}",
|
| 219 |
-
hx_target=f"#{target}",
|
| 220 |
-
hx_trigger="change",
|
| 221 |
-
hx_swap="innerHTML",
|
| 222 |
-
hx_vals=json.dumps({"left_file": f"{left_file}", "header": f"{header}"}),
|
| 223 |
-
)
|
| 224 |
-
|
| 225 |
-
form = Div(
|
| 226 |
-
H3(header),
|
| 227 |
-
Label(
|
| 228 |
-
"Data sample: ", slider, f"{doc_id} of {max_doc_id}", cls="plotly_slider"
|
| 229 |
-
),
|
| 230 |
-
cls="plotly_input_container",
|
| 231 |
-
style="padding: 20px;",
|
| 232 |
-
)
|
| 233 |
-
|
| 234 |
-
col1 = Div(
|
| 235 |
-
Pre(
|
| 236 |
-
json.dumps(left[doc_id], indent=4, ensure_ascii=False),
|
| 237 |
-
style="white-space: pre-wrap; word-break: break-all;",
|
| 238 |
-
),
|
| 239 |
-
style="float: left; overflow-x: auto;",
|
| 240 |
-
)
|
| 241 |
-
|
| 242 |
-
data_display = Div(
|
| 243 |
-
col1,
|
| 244 |
-
style="overflow: auto; clear: both; height: 600px; border: 1px solid #ccc; padding: 20px;",
|
| 245 |
-
)
|
| 246 |
-
return Div(form, data_display, style="margin-top: 10px;", id=target)
|
| 247 |
-
|
| 248 |
-
|
| 249 |
-
def DV2(
|
| 250 |
-
left_file,
|
| 251 |
-
right_file,
|
| 252 |
-
doc_id,
|
| 253 |
-
target: str = None,
|
| 254 |
-
):
|
| 255 |
-
if target is None:
|
| 256 |
-
target = "".join(random.choices(string.ascii_lowercase, k=8))
|
| 257 |
-
|
| 258 |
-
left = json.load(open(left_file, encoding="utf-8"))
|
| 259 |
-
right = json.load(open(right_file, encoding="utf-8"))
|
| 260 |
-
max_doc_id = len(left) - 1
|
| 261 |
-
|
| 262 |
-
slider = Input(
|
| 263 |
-
type="range",
|
| 264 |
-
name=f"doc_id_{target}",
|
| 265 |
-
min="0",
|
| 266 |
-
max=str(max_doc_id),
|
| 267 |
-
value=str(doc_id),
|
| 268 |
-
hx_get=f"/webdata/{target}",
|
| 269 |
-
hx_target=f"#{target}",
|
| 270 |
-
hx_trigger="change",
|
| 271 |
-
hx_swap="innerHTML",
|
| 272 |
-
hx_vals=json.dumps(
|
| 273 |
-
{"left_file": f"{left_file}", "right_file": f"{right_file}"}
|
| 274 |
-
),
|
| 275 |
-
)
|
| 276 |
-
|
| 277 |
-
form = Div(
|
| 278 |
-
Label(
|
| 279 |
-
"Data sample: ", slider, f"{doc_id} of {max_doc_id}", cls="plotly_slider"
|
| 280 |
-
),
|
| 281 |
-
cls="plotly_input_container",
|
| 282 |
-
style="padding: 20px;",
|
| 283 |
-
)
|
| 284 |
-
|
| 285 |
-
col1 = Div(
|
| 286 |
-
H3("Raw format", style="margin-top: 0px;"),
|
| 287 |
-
Pre(
|
| 288 |
-
json.dumps(left[doc_id], indent=4, ensure_ascii=False),
|
| 289 |
-
style="white-space: pre-wrap; word-break: break-all;",
|
| 290 |
-
),
|
| 291 |
-
style="width: 48%; float: left; overflow-x: auto;",
|
| 292 |
-
)
|
| 293 |
-
|
| 294 |
-
col2 = Div(
|
| 295 |
-
H3("Extracted format", style="margin-top: 0px;"),
|
| 296 |
-
Pre(
|
| 297 |
-
json.dumps(right[doc_id], indent=4, ensure_ascii=False),
|
| 298 |
-
style="white-space: pre-wrap; word-break: break-all;",
|
| 299 |
-
),
|
| 300 |
-
style="width: 48%; float: right; overflow-x: auto;",
|
| 301 |
-
)
|
| 302 |
-
|
| 303 |
-
data_display = Div(
|
| 304 |
-
col1,
|
| 305 |
-
col2,
|
| 306 |
-
style="overflow: auto; clear: both; height: 600px; border: 1px solid #ccc; padding: 20px;",
|
| 307 |
-
)
|
| 308 |
-
return Div(form, data_display, style="margin-top: 10px;", id=target)
|
| 309 |
-
|
| 310 |
-
|
| 311 |
-
def update(target: str, request):
|
| 312 |
-
params = request.query_params
|
| 313 |
-
print(params)
|
| 314 |
-
doc_id = int(params.get(f"doc_id_{target}", 3))
|
| 315 |
-
left_file = params.get("left_file")
|
| 316 |
-
right_file = params.get("right_file")
|
| 317 |
-
if left_file and right_file:
|
| 318 |
-
return (
|
| 319 |
-
DV2(
|
| 320 |
-
left_file,
|
| 321 |
-
right_file,
|
| 322 |
-
doc_id,
|
| 323 |
-
target,
|
| 324 |
-
),
|
| 325 |
-
)
|
| 326 |
-
else:
|
| 327 |
-
return DV(
|
| 328 |
-
left_file,
|
| 329 |
-
doc_id,
|
| 330 |
-
params.get("header"),
|
| 331 |
-
target,
|
| 332 |
-
)
|
| 333 |
-
|
| 334 |
-
|
| 335 |
dolma311 = """
|
| 336 |
words = text.split()
|
| 337 |
word_count = len(words)
|
|
|
|
| 7 |
import jsonlines
|
| 8 |
from data.url_blocklist import urls_high_matches, urls_false_positives
|
| 9 |
from data.non_web_urls import non_web_urls
|
| 10 |
+
from data_viewer import DV, DV2, DVS
|
| 11 |
from fasthtml.components import D_code
|
| 12 |
import pandas as pd
|
| 13 |
|
| 14 |
+
|
| 15 |
data_filtering_table_data = pd.DataFrame(
|
| 16 |
{
|
| 17 |
"Dataset": [
|
|
|
|
| 178 |
table_div_qf_filter_data = Div(NotStr(table_html_qf_filter_data), style="margin: 40px;")
|
| 179 |
|
| 180 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 181 |
dolma311 = """
|
| 182 |
words = text.split()
|
| 183 |
word_count = len(words)
|